NLP in Finance Market by Offering (Software, Services), Application (Customer Service and Support, Risk Management and Fraud Detection, Sentiment Analysis), Technology (Machine Learning, Deep Learning), Vertical and Region - Global Forecast to 2028
The NLP in finance market is projected to grow from USD 5.5 billion in 2023 to USD 18.8 billion by 2028 at a compound annual growth rate (CAGR) of 27.6%. The market is anticipated to grow due to the increasing demand for automated and efficient financial services and rising need for accurate and real-time analysis of complex financial data.
By offering, managed services under services segment to register for fastest growing market rate during forecast period
The market for managed services in NLP in finance is expected to grow significantly in the coming years due to the increasing demand for NLP capabilities in the finance industry. The market is highly competitive, with several established players offering a wide range of NLP services to financial institutions of all sizes. Some of the key players in this market include IBM, Amazon Web Services, Google, Microsoft, and SAS. These services allow financial institutions to focus on their core business while outsourcing NLP tasks to experts who have the necessary infrastructure, technology, and expertise to provide accurate and efficient NLP solutions.
By vertical, insurance segment to register fastest growing CAGR during forecast period
Insurance is a financial product that protects against unforeseen events or losses. NLP is increasingly used in the insurance industry to improve various processes, including underwriting, claims processing, customer service, and fraud detection. One of the key areas where NLP is used in insurance is underwriting. Insurance companies use NLP to analyze large amounts of data from various sources, such as social media, credit scores, and medical records, to assess risk and determine premiums.
North America to account for the largest market size during the forecast period
The presence of a growing tech-savvy population, high internet penetration, and advances in AI has resulted in the growth of NLP solutions used in the finance sector. Most of the customers in North America have been leveraging NLP to improve their efficiency, reduce costs, and enhance the customer experience, ultimately leading to better business outcomes. The rising popularity and higher reach of NLP further empower SMEs and startups in the region to harness NLP technology as a cost-effective and technologically advanced tool for building and promoting business, growing consumer base, and reaching out to a wider audience.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the NLP in finance market.
Research coverage
The research study for the NLP in finance market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred NLP in finance providers, third-party service providers, consulting service providers, end-users, and other commercial enterprises. In-depth interviews were conducted with primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall NLP in Finance market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
By offering, managed services under services segment to register for fastest growing market rate during forecast period
The market for managed services in NLP in finance is expected to grow significantly in the coming years due to the increasing demand for NLP capabilities in the finance industry. The market is highly competitive, with several established players offering a wide range of NLP services to financial institutions of all sizes. Some of the key players in this market include IBM, Amazon Web Services, Google, Microsoft, and SAS. These services allow financial institutions to focus on their core business while outsourcing NLP tasks to experts who have the necessary infrastructure, technology, and expertise to provide accurate and efficient NLP solutions.
By vertical, insurance segment to register fastest growing CAGR during forecast period
Insurance is a financial product that protects against unforeseen events or losses. NLP is increasingly used in the insurance industry to improve various processes, including underwriting, claims processing, customer service, and fraud detection. One of the key areas where NLP is used in insurance is underwriting. Insurance companies use NLP to analyze large amounts of data from various sources, such as social media, credit scores, and medical records, to assess risk and determine premiums.
North America to account for the largest market size during the forecast period
The presence of a growing tech-savvy population, high internet penetration, and advances in AI has resulted in the growth of NLP solutions used in the finance sector. Most of the customers in North America have been leveraging NLP to improve their efficiency, reduce costs, and enhance the customer experience, ultimately leading to better business outcomes. The rising popularity and higher reach of NLP further empower SMEs and startups in the region to harness NLP technology as a cost-effective and technologically advanced tool for building and promoting business, growing consumer base, and reaching out to a wider audience.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the NLP in finance market.
- By Company: Tier I: 38%, Tier II: 50%, and Tier III: 12%
- By Designation: C-Level Executives: 35%, D-Level Executives: 40%, and Managers: 25%
- By Region: Asia Pacific: 20%, Europe: 26%, North America: 42%, and the Rest of the World: 12%
Research coverage
The research study for the NLP in finance market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred NLP in finance providers, third-party service providers, consulting service providers, end-users, and other commercial enterprises. In-depth interviews were conducted with primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall NLP in Finance market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Increasing demand for automated and efficient financial services across the globe, rising need for accurate and real-time analysis of complex financial data, and the emergence of AI and ML models enabling enhanced NLP capabilities in finance), restraints (The lack of standardization in NLP-based financial applications and services, difficulty in managing large volumes of unstructured data, and complexity in developing and training sophisticated NLP models), opportunities (The development of customized NLP solutions for specific financial services and use cases, integration of NLP with blockchain and big data to enhance the accuracy and efficiency of financial operations, and growing adoption of NLP-powered chatbots and virtual assistants), and challenges (The high implementation costs associated with NLP, limited availability of skilled professionals and data privacy concerns associated with the use of NLP in finance).
- Product Development/Innovation: Detailed insights on upcoming technologies, R&D activities, and product & service launches in the NLP in finance market
- Market Development: Comprehensive information about lucrative markets – the report analyses the NLP in finance market across regions
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the NLP in finance market
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players include Microsoft (US), IBM (US), Google (US), AWS (US), Oracle (US), SAS Institute (US), Qualtrics (US), Baidu (China), Inbenta (US), Basis Technology (US), Nuance Communications (US), Expert.ai (Italy), among others in the NLP in finance market strategies. The report also helps stakeholders understand the pulse of the NLP in finance market and provides them with information on key market drivers, restraints, challenges, and opportunities.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 REGIONS COVERED
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 1 US DOLLAR EXCHANGE RATE, 2019–2022
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 1 NLP IN FINANCE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Primary interviews
2.1.2.2 Breakup of primary profiles
2.1.2.3 Key industry insights
2.2 DATA TRIANGULATION
FIGURE 2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 3 NLP IN FINANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF NLP IN FINANCE THROUGH OVERALL SPENDING
2.4 MARKET FORECAST
TABLE 2 FACTOR ANALYSIS
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
2.7 IMPLICATIONS OF RECESSION IMPACT ON NLP IN FINANCE
3 EXECUTIVE SUMMARY
TABLE 3 NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
TABLE 4 GLOBAL NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
FIGURE 8 SOFTWARE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023
FIGURE 9 STATISTICAL NLP SOFTWARE TO ACCOUNT FOR MAJOR MARKET SHARE IN 2023
FIGURE 10 PROFESSIONAL SERVICES TO DOMINATE MARKET IN 2023
FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES TO DOMINATE MARKET IN 2023
FIGURE 12 RISK MANAGEMENT AND FRAUD DETECTION TO BE LEADING APPLICATION IN 2023
FIGURE 13 MACHINE LEARNING TO BE MOST DEPLOYED TECHNOLOGY IN 2023
FIGURE 14 INSURANCE VERTICAL SET TO WITNESS FASTEST GROWTH RATE
FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN NLP IN FINANCE MARKET
FIGURE 16 INCREASING POPULARITY OF CHATBOTS ACROSS FINANCE AND IMPROVING PERFORMANCE OF NLP MODELS TO DRIVE MARKET GROWTH
4.2 NLP IN FINANCE MARKET: TOP THREE APPLICATIONS
FIGURE 17 CUSTOMER SERVICE AND SUPPORT APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE
4.3 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING AND VERTICAL
FIGURE 18 SOFTWARE AND BANKING TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2023
4.4 NLP IN FINANCE MARKET, BY REGION
FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 20 NLP IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Increasing demand for automated and efficient financial services worldwide
5.2.1.2 Rising need for accurate and real-time analysis of complex financial data
5.2.1.3 Emergence of AI and ML models
5.2.2 RESTRAINTS
5.2.2.1 Lack of standardization in NLP-based financial applications and services
5.2.2.2 Difficulty in managing large volumes of unstructured data
5.2.2.3 Complexity in developing and training sophisticated NLP models
5.2.3 OPPORTUNITIES
5.2.3.1 Development of customized NLP solutions for specific financial services and use cases
5.2.3.2 Integration of NLP with blockchain and big data to enhance accuracy and efficiency of financial operations
5.2.3.3 Growing adoption of NLP-powered chatbots and virtual assistants
5.2.4 CHALLENGES
5.2.4.1 High implementation costs associated with NLP
5.2.4.2 Limited availability of skilled professionals
5.2.4.3 Data privacy concerns associated with use of NLP
5.3 ETHICS AND IMPLICATIONS OF NLP IN FINANCE
5.3.1 BIAS AND FAIRNESS
5.3.2 PRIVACY AND SECURITY
5.3.3 INTELLECTUAL PROPERTY
5.3.4 ACCOUNTABILITY AND RESPONSIBILITY
5.3.5 SOCIETAL AND ECONOMIC IMPACT
5.4 BRIEF HISTORY OF NLP IN FINANCE
FIGURE 21 BRIEF HISTORY OF NLP IN FINANCE
5.5 ECOSYSTEM ANALYSIS
FIGURE 22 KEY PLAYERS IN NLP IN FINANCE MARKET ECOSYSTEM
5.5.1 NLP IN FINANCE TECHNOLOGY PROVIDERS
5.5.2 NLP IN FINANCE CLOUD PLATFORM PROVIDERS
5.5.3 NLP IN FINANCE API AND AS-A-SERVICE PROVIDERS
5.5.4 NLP IN FINANCE HARDWARE PROVIDERS
5.5.5 NLP IN FINANCE END USERS
5.5.6 NLP IN FINANCE REGULATORS
5.6 NLP IN FINANCE TOOLS AND FRAMEWORK
5.6.1 TENSORFLOW
5.6.2 PYTORCH
5.6.3 KERAS
5.6.4 NLTK
5.6.5 APACHE OPENNLP
5.6.6 SPACY
5.6.7 GENSIM
5.6.8 ALLENNLP
5.6.9 FLAIR
5.6.10 STANFORD CORENLP
5.7 CASE STUDY ANALYSIS
5.7.1 CASE STUDY 1: NATWEST IMPROVED SPEED AND ACCURACY OF COMPLAINT-HANDLING PROCESS THROUGH IBM
5.7.2 CASE STUDY 2: AYASDI’S NLP PLATFORM HELPED J.P. MORGAN CHASE RAMP UP RISK ASSESSMENT TECHNIQUES
5.7.3 CASE STUDY 3: CAPITAL ONE ELIMINATED INEFFICIENCIES IN CUSTOMER QUERY RESOLUTION THROUGH NLP
5.7.4 CASE STUDY 4: BLACKROCK IDENTIFIED NEW INVESTMENT AVENUES BY ANALYZING LARGE VOLUMES OF UNSTRUCTURED DATA
5.7.5 CASE STUDY 5: YSEOP ASSISTED TD AMERITRADE IN DISCOVERING NEW CUSTOMER INSIGHTS
5.7.6 CASE STUDY 6: ALLIANZ WITNESSED SUBSTANTIAL IMPROVEMENT IN INSURANCE CLAIMS PROCESSING THROUGH NLP
5.7.7 CASE STUDY 7: UBS TRAINED DATASETS THROUGH NLP TO AUGMENT RISK MANAGEMENT PROCESSES
5.7.8 CASE STUDY 8: CITI ADDED PERSONALIZED TOUCH TO CUSTOMER RECOMMENDATIONS VIA NLP-BASED QUERY ANALYSIS
5.7.9 CASE STUDY 9: BARCLAYS SCALED ITS TRADING AND INVESTMENT ANALYSIS PROCESSES VIA AYASDI’S NLP TOOL
5.7.10 CASE STUDY 10: GOLDMAN SACHS AUGMENTED ITS FINANCIAL R&D PROWESS
5.7.11 CASE STUDY 11: NLP EMPOWERED KABBAGE WITH SMARTER DECISION-MAKING FOR LOAN DISBURSAL
5.7.12 CASE STUDY 12: CHAINALYSIS DEPLOYED NLP FOR FRAUD PREVENTION IN CRYPTO TRADING
5.8 SUPPLY CHAIN ANALYSIS
FIGURE 23 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
TABLE 5 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
5.9 REGULATORY LANDSCAPE
5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.9.2 NORTH AMERICA
5.9.2.1 Fair Credit Reporting Act (FCRA)
5.9.2.2 Consumer Financial Protection Act (CFPA)
5.9.2.3 Gramm-Leach-Bliley Act (GLBA)
5.9.2.4 Sarbanes-Oxley Act (SOX)
5.9.2.5 Dodd-Frank Wall Street Reform and Consumer Protection Act
5.9.3 EUROPE
5.9.3.1 Markets in Financial Instruments Directive II (MiFID II)
5.9.3.2 General Data Protection Regulation (GDPR)
5.9.3.3 Payment Services Directive 2 (PSD2)
5.9.3.4 Markets in Financial Instruments Regulation (MiFIR)
5.9.3.5 Anti-Money Laundering (AML) Directive
5.9.4 ASIA PACIFIC
5.9.4.1 Personal Information Protection Act (PIPA) – Japan
5.9.4.2 Personal Data Protection Act (PDPA) – Singapore
5.9.4.3 Information Technology Act (ITA) – India
5.9.4.4 Personal Information Protection Law (PIPL) – China
5.9.4.5 Privacy Act – Australia
5.9.5 LATIN AMERICA
5.9.5.1 General Data Protection Law (LGPD) – Brazil
5.9.5.2 Data Protection Law (Ley de Proteccion de Datos Personales) – Mexico
5.9.5.3 Financial Institutions Law (Ley de Instituciones de Credito) – Mexico
5.9.5.4 Anti-Money Laundering (AML) Law – Colombia
5.9.5.5 Financial Sector Law (Ley del Sector Financiero) – Colombia
5.9.6 MIDDLE EAST AND AFRICA
5.9.6.1 Dubai Financial Services Authority (DFSA) Regulations
5.9.6.2 Financial Sector Regulation (FSR) – South Africa
5.9.6.3 Anti-Money Laundering and Countering Financing of Terrorism (AML/CFT) Regulations – Saudi Arabia
5.9.6.4 Data Protection and Privacy Regulations – Egypt
5.9.6.5 Financial Services Authority (FSA) Regulations – Morocco
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.10.2 PATENTS FILED, BY DOCUMENT TYPE, 2019–2022
TABLE 11 PATENTS FILED, 2019–2022
5.10.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013–2022
5.10.4 TOP APPLICANTS
FIGURE 25 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2022
TABLE 12 TOP 20 PATENT OWNERS IN NLP IN FINANCE MARKET, 2013–2022
TABLE 13 LIST OF PATENTS IN NLP IN FINANCE MARKET, 2021–2023
FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED FOR NLP IN FINANCE MARKET, 2013-2022
5.11 KEY CONFERENCES AND EVENTS, 2023–2024
TABLE 14 NLP IN FINANCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
5.12 PRICING ANALYSIS
FIGURE 27 INDICATIVE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS
TABLE 15 AVERAGE SELLING PRICING ANALYSIS OF KEY PLAYERS FOR TOP 3 APPLICATIONS (USD)
5.13 PORTER’S FIVE FORCES ANALYSIS
TABLE 16 IMPACT OF EACH FORCE ON NLP IN FINANCE MARKET
FIGURE 28 NLP IN FINANCE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
5.14.2 BUYING CRITERIA
FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
5.15 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF NLP IN FINANCE MARKET
FIGURE 31 NLP IN FINANCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
5.16 BEST PRACTICES IN NLP IN FINANCE MARKET
5.16.1 DOMAIN-SPECIFIC DATA SELECTION AND DATA CLEANING
5.16.2 FEATURE ENGINEERING
5.16.3 MODEL SELECTION
5.16.4 EVALUATION METRICS
5.16.5 CROSS-VALIDATION
5.16.6 REGULARIZATION
5.16.7 HYPERPARAMETER TUNING
5.16.8 TRANSFER LEARNING
5.16.9 INTERPRETABILITY
5.16.10 REGULATORY COMPLIANCE
5.16.11 BACKTESTING AND DEPLOYMENT
5.17 TECHNOLOGY ROADMAP OF NLP IN FINANCE
5.17.1 NLP IN FINANCE ROADMAP TILL 2030
TABLE 19 NLP IN FINANCE ROADMAP TILL 2030
5.17.1.1 Pre-2020
5.17.1.2 2020-2022
5.17.1.3 Short-term (2023-2025)
5.17.1.4 Mid-term (2026-2028)
5.17.1.5 Long-term (2029-2030)
5.18 CURRENT AND EMERGING BUSINESS MODELS
5.18.1 SAAS MODEL
5.18.2 CONSULTING SERVICES MODEL
5.18.3 PARTNER PROGRAMS (REVENUE SHARING MODEL)
5.18.4 PAY-PER-USE MODEL
5.19 NLP IN FINANCE’S IMPACT ON ADJACENT NICHE TECHNOLOGIES
5.19.1 HIGH-FREQUENCY TRADING AND ELECTRONIC TRADING PLATFORMS
5.19.2 FINANCIAL CYBERSECURITY
5.19.3 REGULATORY TECHNOLOGY (REGTECH)
6 NLP IN FINANCE MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: NLP IN FINANCE MARKET DRIVERS
FIGURE 32 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 20 NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 21 NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 SOFTWARE
TABLE 22 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 23 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1 NLP IN FINANCE SOFTWARE, BY SOFTWARE TYPE
FIGURE 33 STATISTICAL NLP SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023
TABLE 24 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2019–2022 (USD MILLION)
TABLE 25 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2023–2028 (USD MILLION)
6.2.1.1 Rule-based NLP Software
6.2.1.1.1 Rule-based NLP software to help financial institutions automate compliance and risk management processes
TABLE 26 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 27 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.1.1.1 Regular Expression (Regex)
6.2.1.1.1.2 Finite State Machines (FSMs)
6.2.1.1.1.3 Named Entity Recognition (NER)
6.2.1.1.1.4 Part-of-Speech (POS) Tagging
6.2.1.2 Statistical NLP Software
6.2.1.2.1 Statistical NLP software to analyze large volumes of unstructured data
TABLE 28 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 29 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.2.1.1 Naive Bayes
6.2.1.2.1.2 Logistic Regression
6.2.1.2.1.3 Support Vector Machines (SVMs)
6.2.1.2.1.4 Recurrent Neural Networks (RNNs)
6.2.1.3 Hybrid NLP Software
6.2.1.3.1 Hybrid NLP to combine strengths of rule-based and statistical approaches
TABLE 30 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 31 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.3.1.1 Latent Dirichlet Allocation (LDA)
6.2.1.3.1.2 Hidden Markov Models (HMMs)
6.2.1.3.1.3 Conditional Random Fields (CRFs)
6.3 SERVICES
FIGURE 34 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN NLP IN FINANCE MARKET FOR SERVICES DURING FORECAST PERIOD
TABLE 32 NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 33 NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 34 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 35 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Professional services to offer specialized expertise in NLP in finance
FIGURE 35 TRAINING AND CONSULTING SERVICES SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 36 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 37 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 38 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 39 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.1 Training and consulting services
TABLE 40 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 41 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.2 System integration and implementation services
TABLE 42 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 43 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.3 Support and maintenance services
TABLE 44 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.2 MANAGED SERVICES
6.3.2.1 Managed services to provide end-to-end management to help businesses focus on core competencies
TABLE 46 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 47 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7 NLP IN FINANCE MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: NLP IN FINANCE MARKET DRIVERS
FIGURE 36 NATURAL LANGUAGE GENERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
TABLE 48 NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 49 NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
7.2 SENTIMENT ANALYSIS
7.2.1 SENTIMENT ANALYSIS TO IDENTIFY AND MITIGATE POTENTIAL FINANCIAL RISKS
TABLE 50 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 51 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.2.1.1 Brand reputation management
7.2.1.2 Market sentiment analysis
7.2.1.3 Customer feedback analysis
7.2.1.4 Product review analysis
7.2.1.5 Social media monitoring
7.3 RISK MANAGEMENT AND FRAUD DETECTION
7.3.1 NLP TO IMPROVE SPEED AND ACCURACY OF RISK IDENTIFICATION AND FRAUD DETECTION
TABLE 52 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 53 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.3.1.1 Credit risk assessment
7.3.1.2 Fraud Detection and Prevention
7.3.1.3 Anti-money laundering (AML)
7.3.1.4 Compliance monitoring
7.3.1.5 Cybersecurity threat detection
7.4 COMPLIANCE MONITORING
7.4.1 NLP TO ANALYZE FINANCIAL TRANSACTIONS AND IDENTIFY POTENTIAL NON-COMPLIANCE ISSUES
TABLE 54 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 55 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.4.1.1 Regulatory compliance monitoring
7.4.1.2 KYC/AML compliance monitoring
7.4.1.3 Legal and policy compliance monitoring
7.4.1.4 Audit trail monitoring
7.4.1.5 Trade surveillance
7.5 INVESTMENT ANALYSIS
7.5.1 FINANCIAL INSTITUTIONS INVESTING IN NLP TECHNOLOGY TO HAVE COMPETITIVE EDGE
TABLE 56 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 57 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.5.1.1 Asset allocation and portfolio optimization
7.5.1.2 Equity research and analysis
7.5.1.3 Quantitative analysis and modeling
7.5.1.4 Investment recommendations and planning
7.5.1.5 Risk management and prediction
7.5.1.6 Investment opportunity identification
7.6 FINANCIAL NEWS AND MARKET ANALYSIS
7.6.1 NLP ALGORITHMS TO PREDICT HOW MARKETS REACT AND HELP INVESTORS MAKE INFORMED INVESTMENT DECISIONS
TABLE 58 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 59 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.6.1.1 Financial news analysis
7.6.1.2 Stock market prediction
7.6.1.3 Macroeconomic analysis
7.7 CUSTOMER SERVICE AND SUPPORT
7.7.1 ADOPTION OF INTELLIGENT CHATBOTS AND CUSTOMER SUPPORT SYSTEMS TO DRIVE GROWTH
TABLE 60 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 61 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.7.1.1 Chatbots and virtual assistants
7.7.1.2 Personalized support and service
7.7.1.3 Compliant resolution
7.7.1.4 Query resolution and escalation management
7.7.1.5 Self-service options
7.7.1.6 Multilingual customer service and support
7.8 DOCUMENT AND CONTRACT ANALYSIS
7.8.1 DOCUMENT AND CONTRACT ANALYSIS TO STREAMLINE DATA PROCESSING WORKFLOWS
TABLE 62 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 63 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.8.1.1 Contract management
7.8.1.2 Legal document analysis
7.8.1.3 Due diligence analysis
7.8.1.4 Data extraction and normalization
7.9 SPEECH RECOGNITION AND TRANSCRIPTION
7.9.1 POWERFUL TOOL TO CAPTURE AND ANALYZE VOICE DATA AND ENSURE COMPLIANCE
TABLE 64 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 65 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.9.1.1 Voice-enabled search and navigation
7.9.1.2 Speech-to-text conversion
7.9.1.3 Call transcription and analysis
7.9.1.4 Voice biometrics and authentication
7.9.1.5 Speech-enabled virtual assistants
7.10 LANGUAGE TRANSLATION
7.10.1 AUTOMATING REPORT WRITING AND PERSONALIZED FINANCIAL ADVICE TO DRIVE UPTAKE OF LANGUAGE TRANSLATION TOOLS
TABLE 66 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 67 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.10.1.1 Financial document translation
7.10.1.2 Investment research translation
7.10.1.3 Cross-border business communication
7.10.1.4 Localization and internationalization
7.11 OTHER APPLICATIONS
TABLE 68 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 69 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8 NLP IN FINANCE MARKET, BY TECHNOLOGY
8.1 INTRODUCTION
8.1.1 TECHNOLOGY: NLP IN FINANCE MARKET DRIVERS
FIGURE 37 DEEP LEARNING SEGMENT TO GROW AT HIGHER CAGR
TABLE 70 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 71 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
8.2 MACHINE LEARNING
8.2.1 MACHINE LEARNING TO BE EXTENSIVELY DEPLOYED TO PREDICT FINANCIAL MARKET INSIGHTS
TABLE 72 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.2.1.1 Supervised learning
8.2.1.2 Unsupervised learning
8.2.1.3 Reinforcement learning
8.3 DEEP LEARNING
8.3.1 DEEP LEARNING TO PLAY CRITICAL ROLE IN ADVANCING NLP DEVELOPMENTS
TABLE 74 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 75 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.3.1.1 Convolutional neural networks (CNN)
8.3.1.2 Recurrent neural networks (RNN)
8.3.1.3 Transformer models (BERT, GPT-3, etc.)
8.4 NATURAL LANGUAGE GENERATION
8.4.1 FINANCIAL INSTITUTIONS TO INCREASINGLY ADOPT NLG TO IMPROVE EFFICIENCY AND REDUCE COSTS
TABLE 76 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 77 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.4.1.1 Automated report writing
8.4.1.2 Customer communication
8.4.1.3 Financial document generation
8.5 TEXT CLASSIFICATION
8.5.1 TEXT CLASSIFICATION TO ANALYZE MARKET SENTIMENTS IN FINANCE
TABLE 78 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 79 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.5.1.1 Sentiment classification
8.5.1.2 Intent classification
8.6 TOPIC MODELING
8.6.1 TOPIC MODELING TO EXTRACT INSIGHTS FROM FINANCIAL NEWS ARTICLES
TABLE 80 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 81 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.6.1.1 Topic identification
8.6.1.2 Topic clustering
8.6.1.3 Topic visualization
8.7 EMOTION DETECTION
8.7.1 EMOTION DETECTION TO IMPROVE SENTIMENT ANALYSIS IN FINANCIAL DISCOURSE
TABLE 82 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 83 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.7.1.1 Emotion recognition
8.7.1.2 Emotion classification
8.8 OTHER TECHNOLOGIES
8.8.1 NER AND EVENT EXTRACTION TO FACE SPIKE IN HANDLING UNSTRUCTURED FINANCIAL DATA
TABLE 84 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 85 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9 NLP IN FINANCE MARKET, BY VERTICAL
9.1 INTRODUCTION
9.1.1 VERTICAL: NLP IN FINANCE MARKET DRIVERS
FIGURE 38 INSURANCE SEGMENT TO GROW AT HIGHEST CAGR
TABLE 86 NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 87 NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
9.2 BANKING
9.2.1 NLP TO IMPROVE EFFICIENCY, ACCURACY, AND CUSTOMER EXPERIENCE
9.2.2 NLP IN FINANCE: BANKING USE CASES
TABLE 88 BANKING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 BANKING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.2.2.1 Retail banking
9.2.2.2 Corporate banking
9.2.2.3 Investment banking
9.2.2.4 Wealth management
9.3 INSURANCE
9.3.1 INSURANCE COMPANIES TO ANALYZE LARGE AMOUNTS OF DATA USING NLP
9.3.2 NLP IN FINANCE: INSURANCE USE CASES
TABLE 90 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 91 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.3.2.1 Life insurance
9.3.2.2 Property and casualty insurance
9.3.2.3 Health insurance
9.4 FINANCIAL SERVICES
9.4.1 USE OF NLP TO GROW IN FINTECH
9.4.2 NLP IN FINANCE: FINANCIAL SERVICES USE CASES
TABLE 92 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.4.2.1 Credit rating
9.4.2.2 Payment processing and remitting
9.4.2.3 Accounting and auditing
9.4.2.4 Personal finance management
9.4.2.5 Robo-advisory
9.4.2.6 Cryptocurrencies and blockchain
9.4.2.7 Stock movement prediction
9.4.2.8 Others
9.5 OTHER ENTERPRISE VERTICALS
9.5.1 NLP IN FINANCE TO MAKE INROADS ACROSS FINANCIAL OPERATIONS
9.5.1.1 Healthcare and life sciences
9.5.1.2 Manufacturing
9.5.1.3 Retail and eCommerce
9.5.1.4 Energy & utilities
9.5.1.5 Transportation and logistics
9.5.1.6 Others
10 NLP IN FINANCE MARKET, BY REGION
10.1 INTRODUCTION
FIGURE 39 ASIA PACIFIC NLP IN FINANCE MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 40 INDIA TO REGISTER HIGHEST CAGR IN NLP IN FINANCE
TABLE 94 NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 95 NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: NLP IN FINANCE MARKET DRIVERS
10.2.2 NORTH AMERICA: RECESSION IMPACT
FIGURE 41 NORTH AMERICA: SNAPSHOT OF NLP IN FINANCE MARKET
TABLE 96 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 97 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 98 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 99 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 100 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 101 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 102 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 103 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 104 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 105 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 106 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 107 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 108 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 109 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 110 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 111 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.2.3 US
10.2.3.1 US to implement NLP for real-time data analysis
TABLE 112 US: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 113 US: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.2.4 CANADA
10.2.4.1 Canadian banks to use NLP-powered chatbots to interact with customers
TABLE 114 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 115 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3 EUROPE
10.3.1 EUROPE: NLP IN FINANCE MARKET DRIVERS
10.3.2 EUROPE: RECESSION IMPACT
TABLE 116 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 117 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 118 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 119 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 120 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 121 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 122 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 123 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 124 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 125 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 126 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 127 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 128 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 129 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 130 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 131 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.3.3 UK
10.3.3.1 UK companies to leverage NLP to improve operations and gain competitive edge
TABLE 132 UK: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 133 UK: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.4 GERMANY
10.3.4.1 Adoption of NLP to be driven by regulatory compliance, cost reduction, and better customer experience
TABLE 134 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 135 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.5 FRANCE
10.3.5.1 France to witness emergence of AI-based chatbots using NLP
TABLE 136 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 137 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.6 ITALY
10.3.6.1 NLP to help financial institutions analyze large volumes of data efficiently and accurately
TABLE 138 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 139 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.7 SPAIN
10.3.7.1 NLP to significantly improve customer service and reduce operating costs in banking
TABLE 140 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 141 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.8 SWITZERLAND
10.3.8.1 Swiss banks and financial institutions to invest in NLP to gain competitive advantage
TABLE 142 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 143 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.9 REST OF EUROPE
TABLE 144 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 145 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: NLP IN FINANCE MARKET DRIVERS
10.4.2 ASIA PACIFIC: RECESSION IMPACT
FIGURE 42 ASIA PACIFIC: SNAPSHOT OF NLP IN FINANCE MARKET
TABLE 146 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 147 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 148 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 149 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 150 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 151 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 152 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 153 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 154 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 155 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 156 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 157 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 158 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 159 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 160 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 161 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.4.3 CHINA
10.4.3.1 NLP solutions to develop as demand for digital transformation increases
TABLE 162 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 163 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.4 INDIA
10.4.4.1 Adoption of NLP in banking to be influenced by startups and Digital India movement
TABLE 164 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 165 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.5 JAPAN
10.4.5.1 NLP potential to be unlocked in Japan's finance markets
TABLE 166 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 167 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.6 SOUTH KOREA
10.4.6.1 NLP to change financial sector by improving consumer experience
TABLE 168 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 169 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.7 SINGAPORE
10.4.7.1 Singapore to improve its financial services and stay competitive using NLP
TABLE 170 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 171 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.8 ANZ
10.4.8.1 NLP solutions to gain more prominence due to technology development
TABLE 172 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 173 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.9 REST OF ASIA PACIFIC
TABLE 174 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 175 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET DRIVERS
10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
TABLE 176 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 177 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 178 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 179 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 180 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 181 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 182 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 183 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 184 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 185 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 186 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 187 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 188 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 189 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 190 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 191 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.5.3 SAUDI ARABIA
10.5.3.1 Saudi Arabia to embrace NLP to drive economic growth
TABLE 192 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 193 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.4 UAE
10.5.4.1 Several UAE startups to leverage NLP to drive innovation
TABLE 194 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 195 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.5 SOUTH AFRICA
10.5.5.1 South Africa to witness several developments in NLP
TABLE 196 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 197 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.6 ISRAEL
10.5.6.1 Adoption of NLP to position country as leader in technological advancements
TABLE 198 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 199 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.7 REST OF MIDDLE EAST & AFRICA
TABLE 200 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 201 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: NLP IN FINANCE MARKET DRIVERS
10.6.2 LATIN AMERICA: RECESSION IMPACT
TABLE 202 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 203 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 204 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 205 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 206 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 207 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 208 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 209 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 210 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 211 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 212 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 213 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 214 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 215 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 216 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 217 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.6.2.1 Brazil
10.6.2.1.1 NLP to be used in customer service
TABLE 218 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 219 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.2 Mexico
10.6.2.2.1 NLP to witness wide adoption in finance
TABLE 220 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 221 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.3 Argentina
10.6.2.3.1 Advancements in NLP to change ways how financial institutions interact with customers
TABLE 222 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 223 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.4 Rest of Latin America
TABLE 224 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 225 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS
TABLE 226 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP IN FINANCE VENDORS
11.3 REVENUE ANALYSIS
11.3.1 HISTORIC REVENUE ANALYSIS
FIGURE 43 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022 (USD MILLION)
11.4 MARKET SHARE ANALYSIS
FIGURE 44 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
TABLE 227 NLP IN FINANCE MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
FIGURE 45 NLP IN FINANCE MARKET: COMPANY EVALUATION QUADRANT, 2022
11.6 COMPETITIVE BENCHMARKING
TABLE 228 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
TABLE 229 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
11.7 STARTUP/SME EVALUATION QUADRANT
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
FIGURE 46 STARTUPS/SMES: COMPANY EVALUATION QUADRANT, 2022
11.8 STARTUP/SME COMPETITIVE BENCHMARKING
TABLE 230 NLP IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
TABLE 231 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/ SMES, 2022
11.9 NLP IN FINANCE PRODUCT LANDSCAPE
11.9.1 PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
TABLE 232 COMPARATIVE ANALYSIS OF PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
11.9.1.1 Lexalytics
11.9.1.2 Aylien
11.9.1.3 Google Cloud
11.9.1.4 IBM Watson
11.9.1.5 Amazon Comprehend
11.9.2 PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
TABLE 233 COMPARATIVE ANALYSIS OF PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
11.9.2.1 Rosette
11.9.2.2 Spacy
11.9.2.3 Basis Tech
11.9.2.4 Expert.AI
11.9.2.5 MeaningCloud
11.9.3 PROMINENT TOPIC MODELING PRODUCTS
TABLE 234 COMPARATIVE ANALYSIS OF PROMINENT TOPIC MODELING PRODUCTS
11.9.3.1 Gensim
11.9.3.2 Mallet
11.9.3.3 LDAvis
11.9.3.4 bigARTM
11.9.3.5 Stanford NLP
11.9.4 PROMINENT TEXT CLASSIFICATION PRODUCTS
TABLE 235 COMPARATIVE ANALYSIS OF PROMINENT TEXT CLASSIFICATION PRODUCTS
11.9.4.1 MonkeyLearn
11.9.4.2 Datumbox
11.9.4.3 OpenAI
11.9.4.4 Hugging Face
11.9.4.5 TensorFlow
11.9.5 PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
TABLE 236 COMPARATIVE ANALYSIS OF PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
11.9.5.1 Azure Cognitive Services Text Analytics
11.9.5.2 OpenText Magellan
11.9.5.3 RapidMiner
11.9.5.4 Prodigy By Explosion AI
11.9.5.5 KNIME Analytics Platform
11.10 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
FIGURE 47 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
11.11 COMPETITIVE SCENARIO AND TRENDS
11.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 237 SERVICE/PRODUCT LAUNCHES, 2020–2023
11.11.2 DEALS
TABLE 238 DEALS, 2021–2023
12 COMPANY PROFILES
12.1 INTRODUCTION
(Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats)*
12.2 KEY PLAYERS
12.2.1 MICROSOFT
TABLE 239 MICROSOFT: BUSINESS OVERVIEW
FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
TABLE 240 MICROSOFT: SOFTWARE/SERVICES OFFERED
TABLE 241 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 242 MICROSOFT: DEALS
12.2.2 IBM
TABLE 243 IBM: BUSINESS OVERVIEW
FIGURE 49 IBM: COMPANY SNAPSHOT
TABLE 244 IBM: SOFTWARE/SERVICES OFFERED
TABLE 245 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 246 IBM: DEALS
12.2.3 GOOGLE
TABLE 247 GOOGLE: BUSINESS OVERVIEW
FIGURE 50 GOOGLE: COMPANY SNAPSHOT
TABLE 248 GOOGLE: SOFTWARE/SERVICES OFFERED
TABLE 249 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 250 GOOGLE: DEALS
12.2.4 AWS
TABLE 251 AWS: BUSINESS OVERVIEW
FIGURE 51 AWS: COMPANY SNAPSHOT
TABLE 252 AWS: SOFTWARE/SERVICES OFFERED
TABLE 253 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 254 AWS: DEALS
12.2.5 ORACLE
TABLE 255 ORACLE: BUSINESS OVERVIEW
FIGURE 52 ORACLE: COMPANY SNAPSHOT
TABLE 256 ORACLE: SOFTWARE/SERVICES OFFERED
TABLE 257 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 258 ORACLE: DEALS
12.2.6 SAS INSTITUTE
TABLE 259 SAS INSTITUTE: BUSINESS OVERVIEW
TABLE 260 SAS INSTITUTE: SOFTWARE/SERVICES OFFERED
TABLE 261 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 262 SAS INSTITUTE: DEALS
12.2.7 QUALTRICS
TABLE 263 QUALTRICS: BUSINESS OVERVIEW
FIGURE 53 QUALTRICS: COMPANY SNAPSHOT
TABLE 264 QUALTRICS: SOFTWARE/SERVICES OFFERED
TABLE 265 QUALTRICS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 266 QUALTRICS: DEALS
12.2.8 BAIDU
TABLE 267 BAIDU: BUSINESS OVERVIEW
FIGURE 54 BAIDU: COMPANY SNAPSHOT
TABLE 268 BAIDU: SOFTWARE/SERVICES OFFERED
TABLE 269 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
12.2.9 INBENTA
TABLE 270 INBENTA: BUSINESS OVERVIEW
TABLE 271 INBENTA: SOFTWARE/SERVICES OFFERED
TABLE 272 INBENTA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 273 INBENTA: DEALS
12.2.10 BASIS TECHNOLOGY
TABLE 274 BASIS TECHNOLOGY: BUSINESS OVERVIEW
TABLE 275 BASIS TECHNOLOGY: SOFTWARE/SERVICES OFFERED
TABLE 276 BASIS TECHNOLOGY: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 277 BASIS TECHNOLOGY: DEALS
12.2.11 NUANCE COMMUNICATIONS
TABLE 278 NUANCE COMMUNICATIONS: BUSINESS OVERVIEW
FIGURE 55 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT
TABLE 279 NUANCE COMMUNICATIONS: SOFTWARE/SERVICES OFFERED
TABLE 280 NUANCE COMMUNICATIONS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 281 NUANCE COMMUNICATIONS: DEALS
12.2.12 EXPERT.AI
TABLE 282 EXPERT.AI: BUSINESS OVERVIEW
FIGURE 56 EXPERT.AI: COMPANY SNAPSHOT
TABLE 283 EXPERT.AI: SOFTWARE/SERVICES OFFERED
TABLE 284 EXPERT.AI: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 285 EXPERT.AI: DEALS
12.2.13 LIVEPERSON
12.2.14 VERITONE
12.2.15 AUTOMATED INSIGHTS
12.2.16 BITEXT
12.2.17 CONVERSICA
12.2.18 ACCERN
12.2.19 KASISTO
12.2.20 KENSHO
12.2.21 ABBYY
12.2.22 MOSAIC
12.2.23 UNIPHORE
*Details on Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats might not be captured in case of unlisted companies.
12.3 STARTUP/SME PROFILES
12.3.1 OBSERVE.AI
12.3.2 LILT
12.3.3 COGNIGY
12.3.4 ADDEPTO
12.3.5 SKIT.AI
12.3.6 MINDTITAN
12.3.7 SUPERTEXT.AI
12.3.8 NARRATIVA
12.3.9 CRESTA
13 ADJACENT AND RELATED MARKETS
13.1 NLP IN HEALTHCARE & LIFE SCIENCES
13.1.1 MARKET DEFINITION
13.1.2 MARKET OVERVIEW
13.1.2.1 NLP in healthcare & life sciences market, by component
TABLE 286 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 287 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 288 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 289 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
TABLE 290 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 291 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION)
TABLE 292 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 293 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION)
TABLE 294 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 295 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
13.1.2.2 NLP in healthcare & life sciences market, by type
TABLE 296 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 297 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION)
13.1.2.3 NLP in healthcare & life sciences market, by application
TABLE 298 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2017–2021 (USD MILLION)
TABLE 299 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
13.1.2.4 NLP in healthcare & life sciences market, by size
TABLE 300 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2017–2021 (USD MILLION)
TABLE 301 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2022–2027 (USD MILLION)
13.1.2.5 NLP in healthcare & life sciences market, by deployment mode
TABLE 302 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 303 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
13.1.2.6 NLP in healthcare & life sciences market, by technique
TABLE 304 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2017–2021 (USD MILLION)
TABLE 305 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2022–2027 (USD MILLION)
13.1.2.7 NLP in healthcare & life sciences market, by end user
TABLE 306 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2017–2021 (USD MILLION)
TABLE 307 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2022–2027 (USD MILLION)
13.1.2.8 NLP in healthcare & life sciences market, by region
TABLE 308 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 309 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
13.2 SPEECH ANALYTICS MARKET
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Speech analytics market, by component
TABLE 310 SPEECH ANALYTICS MARKET, BY COMPONENT, 2018–2021(USD MILLION)
TABLE 311 SPEECH ANALYTICS MARKET, BY COMPONENT, 2022–2027(USD MILLION)
TABLE 312 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021(USD MILLION)
TABLE 313 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027(USD MILLION)
TABLE 314 SPEECH ANALYTICS MARKET, BY SERVICE, 2018–2021 (USD MILLION)
TABLE 315 SPEECH ANALYTICS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 316 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 317 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
13.2.2.2 Speech analytics market, by business function
TABLE 318 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2018–2021(USD MILLION)
TABLE 319 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
13.2.2.3 Speech analytics market, by organization size
TABLE 320 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
TABLE 321 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
13.2.2.4 Speech analytics market, by deployment mode
TABLE 322 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2018–2021(USD MILLION)
TABLE 323 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027(USD MILLION)
13.2.2.5 Speech analytics market, by application
TABLE 324 SPEECH ANALYTICS MARKET, BY APPLICATION, 2017–2021 (USD MILLION)
TABLE 325 SPEECH ANALYTICS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
13.2.2.6 Speech analytics market, by vertical
TABLE 326 SPEECH ANALYTICS MARKET BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 327 SPEECH ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
13.2.2.7 Speech analytics market, by region
TABLE 328 SPEECH ANALYTICS MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 329 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 REGIONS COVERED
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
TABLE 1 US DOLLAR EXCHANGE RATE, 2019–2022
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 1 NLP IN FINANCE MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Primary interviews
2.1.2.2 Breakup of primary profiles
2.1.2.3 Key industry insights
2.2 DATA TRIANGULATION
FIGURE 2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
FIGURE 3 NLP IN FINANCE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE FROM SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NLP IN FINANCE MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF NLP IN FINANCE THROUGH OVERALL SPENDING
2.4 MARKET FORECAST
TABLE 2 FACTOR ANALYSIS
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
2.7 IMPLICATIONS OF RECESSION IMPACT ON NLP IN FINANCE
3 EXECUTIVE SUMMARY
TABLE 3 NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
TABLE 4 GLOBAL NLP IN FINANCE MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
FIGURE 8 SOFTWARE SEGMENT TO HOLD LARGEST MARKET SIZE IN 2023
FIGURE 9 STATISTICAL NLP SOFTWARE TO ACCOUNT FOR MAJOR MARKET SHARE IN 2023
FIGURE 10 PROFESSIONAL SERVICES TO DOMINATE MARKET IN 2023
FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES TO DOMINATE MARKET IN 2023
FIGURE 12 RISK MANAGEMENT AND FRAUD DETECTION TO BE LEADING APPLICATION IN 2023
FIGURE 13 MACHINE LEARNING TO BE MOST DEPLOYED TECHNOLOGY IN 2023
FIGURE 14 INSURANCE VERTICAL SET TO WITNESS FASTEST GROWTH RATE
FIGURE 15 NORTH AMERICA TO HOLD LARGEST MARKET SHARE
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN NLP IN FINANCE MARKET
FIGURE 16 INCREASING POPULARITY OF CHATBOTS ACROSS FINANCE AND IMPROVING PERFORMANCE OF NLP MODELS TO DRIVE MARKET GROWTH
4.2 NLP IN FINANCE MARKET: TOP THREE APPLICATIONS
FIGURE 17 CUSTOMER SERVICE AND SUPPORT APPLICATION SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE
4.3 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING AND VERTICAL
FIGURE 18 SOFTWARE AND BANKING TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2023
4.4 NLP IN FINANCE MARKET, BY REGION
FIGURE 19 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2023
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 20 NLP IN FINANCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
5.2.1.1 Increasing demand for automated and efficient financial services worldwide
5.2.1.2 Rising need for accurate and real-time analysis of complex financial data
5.2.1.3 Emergence of AI and ML models
5.2.2 RESTRAINTS
5.2.2.1 Lack of standardization in NLP-based financial applications and services
5.2.2.2 Difficulty in managing large volumes of unstructured data
5.2.2.3 Complexity in developing and training sophisticated NLP models
5.2.3 OPPORTUNITIES
5.2.3.1 Development of customized NLP solutions for specific financial services and use cases
5.2.3.2 Integration of NLP with blockchain and big data to enhance accuracy and efficiency of financial operations
5.2.3.3 Growing adoption of NLP-powered chatbots and virtual assistants
5.2.4 CHALLENGES
5.2.4.1 High implementation costs associated with NLP
5.2.4.2 Limited availability of skilled professionals
5.2.4.3 Data privacy concerns associated with use of NLP
5.3 ETHICS AND IMPLICATIONS OF NLP IN FINANCE
5.3.1 BIAS AND FAIRNESS
5.3.2 PRIVACY AND SECURITY
5.3.3 INTELLECTUAL PROPERTY
5.3.4 ACCOUNTABILITY AND RESPONSIBILITY
5.3.5 SOCIETAL AND ECONOMIC IMPACT
5.4 BRIEF HISTORY OF NLP IN FINANCE
FIGURE 21 BRIEF HISTORY OF NLP IN FINANCE
5.5 ECOSYSTEM ANALYSIS
FIGURE 22 KEY PLAYERS IN NLP IN FINANCE MARKET ECOSYSTEM
5.5.1 NLP IN FINANCE TECHNOLOGY PROVIDERS
5.5.2 NLP IN FINANCE CLOUD PLATFORM PROVIDERS
5.5.3 NLP IN FINANCE API AND AS-A-SERVICE PROVIDERS
5.5.4 NLP IN FINANCE HARDWARE PROVIDERS
5.5.5 NLP IN FINANCE END USERS
5.5.6 NLP IN FINANCE REGULATORS
5.6 NLP IN FINANCE TOOLS AND FRAMEWORK
5.6.1 TENSORFLOW
5.6.2 PYTORCH
5.6.3 KERAS
5.6.4 NLTK
5.6.5 APACHE OPENNLP
5.6.6 SPACY
5.6.7 GENSIM
5.6.8 ALLENNLP
5.6.9 FLAIR
5.6.10 STANFORD CORENLP
5.7 CASE STUDY ANALYSIS
5.7.1 CASE STUDY 1: NATWEST IMPROVED SPEED AND ACCURACY OF COMPLAINT-HANDLING PROCESS THROUGH IBM
5.7.2 CASE STUDY 2: AYASDI’S NLP PLATFORM HELPED J.P. MORGAN CHASE RAMP UP RISK ASSESSMENT TECHNIQUES
5.7.3 CASE STUDY 3: CAPITAL ONE ELIMINATED INEFFICIENCIES IN CUSTOMER QUERY RESOLUTION THROUGH NLP
5.7.4 CASE STUDY 4: BLACKROCK IDENTIFIED NEW INVESTMENT AVENUES BY ANALYZING LARGE VOLUMES OF UNSTRUCTURED DATA
5.7.5 CASE STUDY 5: YSEOP ASSISTED TD AMERITRADE IN DISCOVERING NEW CUSTOMER INSIGHTS
5.7.6 CASE STUDY 6: ALLIANZ WITNESSED SUBSTANTIAL IMPROVEMENT IN INSURANCE CLAIMS PROCESSING THROUGH NLP
5.7.7 CASE STUDY 7: UBS TRAINED DATASETS THROUGH NLP TO AUGMENT RISK MANAGEMENT PROCESSES
5.7.8 CASE STUDY 8: CITI ADDED PERSONALIZED TOUCH TO CUSTOMER RECOMMENDATIONS VIA NLP-BASED QUERY ANALYSIS
5.7.9 CASE STUDY 9: BARCLAYS SCALED ITS TRADING AND INVESTMENT ANALYSIS PROCESSES VIA AYASDI’S NLP TOOL
5.7.10 CASE STUDY 10: GOLDMAN SACHS AUGMENTED ITS FINANCIAL R&D PROWESS
5.7.11 CASE STUDY 11: NLP EMPOWERED KABBAGE WITH SMARTER DECISION-MAKING FOR LOAN DISBURSAL
5.7.12 CASE STUDY 12: CHAINALYSIS DEPLOYED NLP FOR FRAUD PREVENTION IN CRYPTO TRADING
5.8 SUPPLY CHAIN ANALYSIS
FIGURE 23 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
TABLE 5 NLP IN FINANCE MARKET: SUPPLY CHAIN ANALYSIS
5.9 REGULATORY LANDSCAPE
5.9.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 6 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 7 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 8 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.9.2 NORTH AMERICA
5.9.2.1 Fair Credit Reporting Act (FCRA)
5.9.2.2 Consumer Financial Protection Act (CFPA)
5.9.2.3 Gramm-Leach-Bliley Act (GLBA)
5.9.2.4 Sarbanes-Oxley Act (SOX)
5.9.2.5 Dodd-Frank Wall Street Reform and Consumer Protection Act
5.9.3 EUROPE
5.9.3.1 Markets in Financial Instruments Directive II (MiFID II)
5.9.3.2 General Data Protection Regulation (GDPR)
5.9.3.3 Payment Services Directive 2 (PSD2)
5.9.3.4 Markets in Financial Instruments Regulation (MiFIR)
5.9.3.5 Anti-Money Laundering (AML) Directive
5.9.4 ASIA PACIFIC
5.9.4.1 Personal Information Protection Act (PIPA) – Japan
5.9.4.2 Personal Data Protection Act (PDPA) – Singapore
5.9.4.3 Information Technology Act (ITA) – India
5.9.4.4 Personal Information Protection Law (PIPL) – China
5.9.4.5 Privacy Act – Australia
5.9.5 LATIN AMERICA
5.9.5.1 General Data Protection Law (LGPD) – Brazil
5.9.5.2 Data Protection Law (Ley de Proteccion de Datos Personales) – Mexico
5.9.5.3 Financial Institutions Law (Ley de Instituciones de Credito) – Mexico
5.9.5.4 Anti-Money Laundering (AML) Law – Colombia
5.9.5.5 Financial Sector Law (Ley del Sector Financiero) – Colombia
5.9.6 MIDDLE EAST AND AFRICA
5.9.6.1 Dubai Financial Services Authority (DFSA) Regulations
5.9.6.2 Financial Sector Regulation (FSR) – South Africa
5.9.6.3 Anti-Money Laundering and Countering Financing of Terrorism (AML/CFT) Regulations – Saudi Arabia
5.9.6.4 Data Protection and Privacy Regulations – Egypt
5.9.6.5 Financial Services Authority (FSA) Regulations – Morocco
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.10.2 PATENTS FILED, BY DOCUMENT TYPE, 2019–2022
TABLE 11 PATENTS FILED, 2019–2022
5.10.3 INNOVATION AND PATENT APPLICATIONS
FIGURE 24 TOTAL NUMBER OF PATENTS GRANTED, 2013–2022
5.10.4 TOP APPLICANTS
FIGURE 25 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2022
TABLE 12 TOP 20 PATENT OWNERS IN NLP IN FINANCE MARKET, 2013–2022
TABLE 13 LIST OF PATENTS IN NLP IN FINANCE MARKET, 2021–2023
FIGURE 26 REGIONAL ANALYSIS OF PATENTS GRANTED FOR NLP IN FINANCE MARKET, 2013-2022
5.11 KEY CONFERENCES AND EVENTS, 2023–2024
TABLE 14 NLP IN FINANCE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
5.12 PRICING ANALYSIS
FIGURE 27 INDICATIVE SELLING PRICES OF KEY PLAYERS FOR TOP 3 APPLICATIONS
TABLE 15 AVERAGE SELLING PRICING ANALYSIS OF KEY PLAYERS FOR TOP 3 APPLICATIONS (USD)
5.13 PORTER’S FIVE FORCES ANALYSIS
TABLE 16 IMPACT OF EACH FORCE ON NLP IN FINANCE MARKET
FIGURE 28 NLP IN FINANCE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
TABLE 17 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
5.14.2 BUYING CRITERIA
FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 18 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
5.15 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS OF NLP IN FINANCE MARKET
FIGURE 31 NLP IN FINANCE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
5.16 BEST PRACTICES IN NLP IN FINANCE MARKET
5.16.1 DOMAIN-SPECIFIC DATA SELECTION AND DATA CLEANING
5.16.2 FEATURE ENGINEERING
5.16.3 MODEL SELECTION
5.16.4 EVALUATION METRICS
5.16.5 CROSS-VALIDATION
5.16.6 REGULARIZATION
5.16.7 HYPERPARAMETER TUNING
5.16.8 TRANSFER LEARNING
5.16.9 INTERPRETABILITY
5.16.10 REGULATORY COMPLIANCE
5.16.11 BACKTESTING AND DEPLOYMENT
5.17 TECHNOLOGY ROADMAP OF NLP IN FINANCE
5.17.1 NLP IN FINANCE ROADMAP TILL 2030
TABLE 19 NLP IN FINANCE ROADMAP TILL 2030
5.17.1.1 Pre-2020
5.17.1.2 2020-2022
5.17.1.3 Short-term (2023-2025)
5.17.1.4 Mid-term (2026-2028)
5.17.1.5 Long-term (2029-2030)
5.18 CURRENT AND EMERGING BUSINESS MODELS
5.18.1 SAAS MODEL
5.18.2 CONSULTING SERVICES MODEL
5.18.3 PARTNER PROGRAMS (REVENUE SHARING MODEL)
5.18.4 PAY-PER-USE MODEL
5.19 NLP IN FINANCE’S IMPACT ON ADJACENT NICHE TECHNOLOGIES
5.19.1 HIGH-FREQUENCY TRADING AND ELECTRONIC TRADING PLATFORMS
5.19.2 FINANCIAL CYBERSECURITY
5.19.3 REGULATORY TECHNOLOGY (REGTECH)
6 NLP IN FINANCE MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: NLP IN FINANCE MARKET DRIVERS
FIGURE 32 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
TABLE 20 NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 21 NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 SOFTWARE
TABLE 22 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 23 SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1 NLP IN FINANCE SOFTWARE, BY SOFTWARE TYPE
FIGURE 33 STATISTICAL NLP SOFTWARE TO HOLD LARGEST MARKET SHARE IN 2023
TABLE 24 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2019–2022 (USD MILLION)
TABLE 25 SOFTWARE: NLP IN FINANCE MARKET, BY SOFTWARE TYPE, 2023–2028 (USD MILLION)
6.2.1.1 Rule-based NLP Software
6.2.1.1.1 Rule-based NLP software to help financial institutions automate compliance and risk management processes
TABLE 26 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 27 RULE-BASED NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.1.1.1 Regular Expression (Regex)
6.2.1.1.1.2 Finite State Machines (FSMs)
6.2.1.1.1.3 Named Entity Recognition (NER)
6.2.1.1.1.4 Part-of-Speech (POS) Tagging
6.2.1.2 Statistical NLP Software
6.2.1.2.1 Statistical NLP software to analyze large volumes of unstructured data
TABLE 28 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 29 STATISTICAL NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.2.1.1 Naive Bayes
6.2.1.2.1.2 Logistic Regression
6.2.1.2.1.3 Support Vector Machines (SVMs)
6.2.1.2.1.4 Recurrent Neural Networks (RNNs)
6.2.1.3 Hybrid NLP Software
6.2.1.3.1 Hybrid NLP to combine strengths of rule-based and statistical approaches
TABLE 30 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 31 HYBRID NLP SOFTWARE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1.3.1.1 Latent Dirichlet Allocation (LDA)
6.2.1.3.1.2 Hidden Markov Models (HMMs)
6.2.1.3.1.3 Conditional Random Fields (CRFs)
6.3 SERVICES
FIGURE 34 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR IN NLP IN FINANCE MARKET FOR SERVICES DURING FORECAST PERIOD
TABLE 32 NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 33 NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 34 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 35 SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Professional services to offer specialized expertise in NLP in finance
FIGURE 35 TRAINING AND CONSULTING SERVICES SUB-SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 36 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 37 SERVICES: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 38 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 39 PROFESSIONAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.1 Training and consulting services
TABLE 40 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 41 TRAINING AND CONSULTING SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.2 System integration and implementation services
TABLE 42 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 43 SYSTEM INTEGRATION AND IMPLEMENTATION SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1.1.3 Support and maintenance services
TABLE 44 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 SUPPORT AND MAINTENANCE SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.2 MANAGED SERVICES
6.3.2.1 Managed services to provide end-to-end management to help businesses focus on core competencies
TABLE 46 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 47 MANAGED SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7 NLP IN FINANCE MARKET, BY APPLICATION
7.1 INTRODUCTION
7.1.1 APPLICATION: NLP IN FINANCE MARKET DRIVERS
FIGURE 36 NATURAL LANGUAGE GENERATION SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023
TABLE 48 NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 49 NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
7.2 SENTIMENT ANALYSIS
7.2.1 SENTIMENT ANALYSIS TO IDENTIFY AND MITIGATE POTENTIAL FINANCIAL RISKS
TABLE 50 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 51 SENTIMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.2.1.1 Brand reputation management
7.2.1.2 Market sentiment analysis
7.2.1.3 Customer feedback analysis
7.2.1.4 Product review analysis
7.2.1.5 Social media monitoring
7.3 RISK MANAGEMENT AND FRAUD DETECTION
7.3.1 NLP TO IMPROVE SPEED AND ACCURACY OF RISK IDENTIFICATION AND FRAUD DETECTION
TABLE 52 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 53 RISK MANAGEMENT AND FRAUD DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.3.1.1 Credit risk assessment
7.3.1.2 Fraud Detection and Prevention
7.3.1.3 Anti-money laundering (AML)
7.3.1.4 Compliance monitoring
7.3.1.5 Cybersecurity threat detection
7.4 COMPLIANCE MONITORING
7.4.1 NLP TO ANALYZE FINANCIAL TRANSACTIONS AND IDENTIFY POTENTIAL NON-COMPLIANCE ISSUES
TABLE 54 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 55 COMPLIANCE MONITORING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.4.1.1 Regulatory compliance monitoring
7.4.1.2 KYC/AML compliance monitoring
7.4.1.3 Legal and policy compliance monitoring
7.4.1.4 Audit trail monitoring
7.4.1.5 Trade surveillance
7.5 INVESTMENT ANALYSIS
7.5.1 FINANCIAL INSTITUTIONS INVESTING IN NLP TECHNOLOGY TO HAVE COMPETITIVE EDGE
TABLE 56 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 57 INVESTMENT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.5.1.1 Asset allocation and portfolio optimization
7.5.1.2 Equity research and analysis
7.5.1.3 Quantitative analysis and modeling
7.5.1.4 Investment recommendations and planning
7.5.1.5 Risk management and prediction
7.5.1.6 Investment opportunity identification
7.6 FINANCIAL NEWS AND MARKET ANALYSIS
7.6.1 NLP ALGORITHMS TO PREDICT HOW MARKETS REACT AND HELP INVESTORS MAKE INFORMED INVESTMENT DECISIONS
TABLE 58 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 59 FINANCIAL NEWS AND MARKET ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.6.1.1 Financial news analysis
7.6.1.2 Stock market prediction
7.6.1.3 Macroeconomic analysis
7.7 CUSTOMER SERVICE AND SUPPORT
7.7.1 ADOPTION OF INTELLIGENT CHATBOTS AND CUSTOMER SUPPORT SYSTEMS TO DRIVE GROWTH
TABLE 60 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 61 CUSTOMER SERVICE AND SUPPORT: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.7.1.1 Chatbots and virtual assistants
7.7.1.2 Personalized support and service
7.7.1.3 Compliant resolution
7.7.1.4 Query resolution and escalation management
7.7.1.5 Self-service options
7.7.1.6 Multilingual customer service and support
7.8 DOCUMENT AND CONTRACT ANALYSIS
7.8.1 DOCUMENT AND CONTRACT ANALYSIS TO STREAMLINE DATA PROCESSING WORKFLOWS
TABLE 62 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 63 DOCUMENT AND CONTRACT ANALYSIS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.8.1.1 Contract management
7.8.1.2 Legal document analysis
7.8.1.3 Due diligence analysis
7.8.1.4 Data extraction and normalization
7.9 SPEECH RECOGNITION AND TRANSCRIPTION
7.9.1 POWERFUL TOOL TO CAPTURE AND ANALYZE VOICE DATA AND ENSURE COMPLIANCE
TABLE 64 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 65 SPEECH RECOGNITION AND TRANSCRIPTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.9.1.1 Voice-enabled search and navigation
7.9.1.2 Speech-to-text conversion
7.9.1.3 Call transcription and analysis
7.9.1.4 Voice biometrics and authentication
7.9.1.5 Speech-enabled virtual assistants
7.10 LANGUAGE TRANSLATION
7.10.1 AUTOMATING REPORT WRITING AND PERSONALIZED FINANCIAL ADVICE TO DRIVE UPTAKE OF LANGUAGE TRANSLATION TOOLS
TABLE 66 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 67 LANGUAGE TRANSLATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
7.10.1.1 Financial document translation
7.10.1.2 Investment research translation
7.10.1.3 Cross-border business communication
7.10.1.4 Localization and internationalization
7.11 OTHER APPLICATIONS
TABLE 68 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 69 OTHER APPLICATIONS: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8 NLP IN FINANCE MARKET, BY TECHNOLOGY
8.1 INTRODUCTION
8.1.1 TECHNOLOGY: NLP IN FINANCE MARKET DRIVERS
FIGURE 37 DEEP LEARNING SEGMENT TO GROW AT HIGHER CAGR
TABLE 70 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 71 NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
8.2 MACHINE LEARNING
8.2.1 MACHINE LEARNING TO BE EXTENSIVELY DEPLOYED TO PREDICT FINANCIAL MARKET INSIGHTS
TABLE 72 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 MACHINE LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.2.1.1 Supervised learning
8.2.1.2 Unsupervised learning
8.2.1.3 Reinforcement learning
8.3 DEEP LEARNING
8.3.1 DEEP LEARNING TO PLAY CRITICAL ROLE IN ADVANCING NLP DEVELOPMENTS
TABLE 74 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 75 DEEP LEARNING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.3.1.1 Convolutional neural networks (CNN)
8.3.1.2 Recurrent neural networks (RNN)
8.3.1.3 Transformer models (BERT, GPT-3, etc.)
8.4 NATURAL LANGUAGE GENERATION
8.4.1 FINANCIAL INSTITUTIONS TO INCREASINGLY ADOPT NLG TO IMPROVE EFFICIENCY AND REDUCE COSTS
TABLE 76 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 77 NATURAL LANGUAGE GENERATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.4.1.1 Automated report writing
8.4.1.2 Customer communication
8.4.1.3 Financial document generation
8.5 TEXT CLASSIFICATION
8.5.1 TEXT CLASSIFICATION TO ANALYZE MARKET SENTIMENTS IN FINANCE
TABLE 78 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 79 TEXT CLASSIFICATION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.5.1.1 Sentiment classification
8.5.1.2 Intent classification
8.6 TOPIC MODELING
8.6.1 TOPIC MODELING TO EXTRACT INSIGHTS FROM FINANCIAL NEWS ARTICLES
TABLE 80 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 81 TOPIC MODELING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.6.1.1 Topic identification
8.6.1.2 Topic clustering
8.6.1.3 Topic visualization
8.7 EMOTION DETECTION
8.7.1 EMOTION DETECTION TO IMPROVE SENTIMENT ANALYSIS IN FINANCIAL DISCOURSE
TABLE 82 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 83 EMOTION DETECTION: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
8.7.1.1 Emotion recognition
8.7.1.2 Emotion classification
8.8 OTHER TECHNOLOGIES
8.8.1 NER AND EVENT EXTRACTION TO FACE SPIKE IN HANDLING UNSTRUCTURED FINANCIAL DATA
TABLE 84 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 85 OTHER TECHNOLOGIES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9 NLP IN FINANCE MARKET, BY VERTICAL
9.1 INTRODUCTION
9.1.1 VERTICAL: NLP IN FINANCE MARKET DRIVERS
FIGURE 38 INSURANCE SEGMENT TO GROW AT HIGHEST CAGR
TABLE 86 NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 87 NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
9.2 BANKING
9.2.1 NLP TO IMPROVE EFFICIENCY, ACCURACY, AND CUSTOMER EXPERIENCE
9.2.2 NLP IN FINANCE: BANKING USE CASES
TABLE 88 BANKING: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 BANKING: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.2.2.1 Retail banking
9.2.2.2 Corporate banking
9.2.2.3 Investment banking
9.2.2.4 Wealth management
9.3 INSURANCE
9.3.1 INSURANCE COMPANIES TO ANALYZE LARGE AMOUNTS OF DATA USING NLP
9.3.2 NLP IN FINANCE: INSURANCE USE CASES
TABLE 90 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 91 INSURANCE: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.3.2.1 Life insurance
9.3.2.2 Property and casualty insurance
9.3.2.3 Health insurance
9.4 FINANCIAL SERVICES
9.4.1 USE OF NLP TO GROW IN FINTECH
9.4.2 NLP IN FINANCE: FINANCIAL SERVICES USE CASES
TABLE 92 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 FINANCIAL SERVICES: NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.4.2.1 Credit rating
9.4.2.2 Payment processing and remitting
9.4.2.3 Accounting and auditing
9.4.2.4 Personal finance management
9.4.2.5 Robo-advisory
9.4.2.6 Cryptocurrencies and blockchain
9.4.2.7 Stock movement prediction
9.4.2.8 Others
9.5 OTHER ENTERPRISE VERTICALS
9.5.1 NLP IN FINANCE TO MAKE INROADS ACROSS FINANCIAL OPERATIONS
9.5.1.1 Healthcare and life sciences
9.5.1.2 Manufacturing
9.5.1.3 Retail and eCommerce
9.5.1.4 Energy & utilities
9.5.1.5 Transportation and logistics
9.5.1.6 Others
10 NLP IN FINANCE MARKET, BY REGION
10.1 INTRODUCTION
FIGURE 39 ASIA PACIFIC NLP IN FINANCE MARKET TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 40 INDIA TO REGISTER HIGHEST CAGR IN NLP IN FINANCE
TABLE 94 NLP IN FINANCE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 95 NLP IN FINANCE MARKET, BY REGION, 2023–2028 (USD MILLION)
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: NLP IN FINANCE MARKET DRIVERS
10.2.2 NORTH AMERICA: RECESSION IMPACT
FIGURE 41 NORTH AMERICA: SNAPSHOT OF NLP IN FINANCE MARKET
TABLE 96 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 97 NORTH AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 98 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 99 NORTH AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 100 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 101 NORTH AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 102 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 103 NORTH AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 104 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 105 NORTH AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 106 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 107 NORTH AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 108 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 109 NORTH AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 110 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 111 NORTH AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.2.3 US
10.2.3.1 US to implement NLP for real-time data analysis
TABLE 112 US: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 113 US: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.2.4 CANADA
10.2.4.1 Canadian banks to use NLP-powered chatbots to interact with customers
TABLE 114 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 115 CANADA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3 EUROPE
10.3.1 EUROPE: NLP IN FINANCE MARKET DRIVERS
10.3.2 EUROPE: RECESSION IMPACT
TABLE 116 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 117 EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 118 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 119 EUROPE: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 120 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 121 EUROPE: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 122 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 123 EUROPE: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 124 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 125 EUROPE: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 126 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 127 EUROPE: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 128 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 129 EUROPE: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 130 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 131 EUROPE: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.3.3 UK
10.3.3.1 UK companies to leverage NLP to improve operations and gain competitive edge
TABLE 132 UK: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 133 UK: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.4 GERMANY
10.3.4.1 Adoption of NLP to be driven by regulatory compliance, cost reduction, and better customer experience
TABLE 134 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 135 GERMANY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.5 FRANCE
10.3.5.1 France to witness emergence of AI-based chatbots using NLP
TABLE 136 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 137 FRANCE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.6 ITALY
10.3.6.1 NLP to help financial institutions analyze large volumes of data efficiently and accurately
TABLE 138 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 139 ITALY: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.7 SPAIN
10.3.7.1 NLP to significantly improve customer service and reduce operating costs in banking
TABLE 140 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 141 SPAIN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.8 SWITZERLAND
10.3.8.1 Swiss banks and financial institutions to invest in NLP to gain competitive advantage
TABLE 142 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 143 SWITZERLAND: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.3.9 REST OF EUROPE
TABLE 144 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 145 REST OF EUROPE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: NLP IN FINANCE MARKET DRIVERS
10.4.2 ASIA PACIFIC: RECESSION IMPACT
FIGURE 42 ASIA PACIFIC: SNAPSHOT OF NLP IN FINANCE MARKET
TABLE 146 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 147 ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 148 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 149 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 150 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 151 ASIA PACIFIC: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 152 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 153 ASIA PACIFIC: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 154 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 155 ASIA PACIFIC: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 156 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 157 ASIA PACIFIC: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 158 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 159 ASIA PACIFIC: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 160 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 161 ASIA PACIFIC: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.4.3 CHINA
10.4.3.1 NLP solutions to develop as demand for digital transformation increases
TABLE 162 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 163 CHINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.4 INDIA
10.4.4.1 Adoption of NLP in banking to be influenced by startups and Digital India movement
TABLE 164 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 165 INDIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.5 JAPAN
10.4.5.1 NLP potential to be unlocked in Japan's finance markets
TABLE 166 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 167 JAPAN: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.6 SOUTH KOREA
10.4.6.1 NLP to change financial sector by improving consumer experience
TABLE 168 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 169 SOUTH KOREA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.7 SINGAPORE
10.4.7.1 Singapore to improve its financial services and stay competitive using NLP
TABLE 170 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 171 SINGAPORE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.8 ANZ
10.4.8.1 NLP solutions to gain more prominence due to technology development
TABLE 172 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 173 ANZ: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.4.9 REST OF ASIA PACIFIC
TABLE 174 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 175 REST OF ASIA PACIFIC: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET DRIVERS
10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
TABLE 176 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 177 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 178 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 179 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 180 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 181 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 182 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 183 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 184 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 185 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 186 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 187 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 188 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 189 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 190 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 191 MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.5.3 SAUDI ARABIA
10.5.3.1 Saudi Arabia to embrace NLP to drive economic growth
TABLE 192 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 193 SAUDI ARABIA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.4 UAE
10.5.4.1 Several UAE startups to leverage NLP to drive innovation
TABLE 194 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 195 UAE: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.5 SOUTH AFRICA
10.5.5.1 South Africa to witness several developments in NLP
TABLE 196 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 197 SOUTH AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.6 ISRAEL
10.5.6.1 Adoption of NLP to position country as leader in technological advancements
TABLE 198 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 199 ISRAEL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.5.7 REST OF MIDDLE EAST & AFRICA
TABLE 200 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 201 REST OF MIDDLE EAST & AFRICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: NLP IN FINANCE MARKET DRIVERS
10.6.2 LATIN AMERICA: RECESSION IMPACT
TABLE 202 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 203 LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 204 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
TABLE 205 LATIN AMERICA: NLP IN FINANCE MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
TABLE 206 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2019–2022 (USD MILLION)
TABLE 207 LATIN AMERICA: NLP IN FINANCE MARKET, BY SERVICE, 2023–2028 (USD MILLION)
TABLE 208 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION)
TABLE 209 LATIN AMERICA: NLP IN FINANCE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION)
TABLE 210 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 211 LATIN AMERICA: NLP IN FINANCE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
TABLE 212 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 213 LATIN AMERICA: NLP IN FINANCE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 214 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 215 LATIN AMERICA: NLP IN FINANCE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 216 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 217 LATIN AMERICA: NLP IN FINANCE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
10.6.2.1 Brazil
10.6.2.1.1 NLP to be used in customer service
TABLE 218 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 219 BRAZIL: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.2 Mexico
10.6.2.2.1 NLP to witness wide adoption in finance
TABLE 220 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 221 MEXICO: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.3 Argentina
10.6.2.3.1 Advancements in NLP to change ways how financial institutions interact with customers
TABLE 222 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 223 ARGENTINA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
10.6.2.4 Rest of Latin America
TABLE 224 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 225 REST OF LATIN AMERICA: NLP IN FINANCE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS
TABLE 226 OVERVIEW OF STRATEGIES ADOPTED BY KEY NLP IN FINANCE VENDORS
11.3 REVENUE ANALYSIS
11.3.1 HISTORIC REVENUE ANALYSIS
FIGURE 43 HISTORIC REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2020–2022 (USD MILLION)
11.4 MARKET SHARE ANALYSIS
FIGURE 44 MARKET SHARE ANALYSIS FOR KEY COMPANIES IN 2022
TABLE 227 NLP IN FINANCE MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
FIGURE 45 NLP IN FINANCE MARKET: COMPANY EVALUATION QUADRANT, 2022
11.6 COMPETITIVE BENCHMARKING
TABLE 228 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
TABLE 229 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
11.7 STARTUP/SME EVALUATION QUADRANT
11.7.1 PROGRESSIVE COMPANIES
11.7.2 RESPONSIVE COMPANIES
11.7.3 DYNAMIC COMPANIES
11.7.4 STARTING BLOCKS
FIGURE 46 STARTUPS/SMES: COMPANY EVALUATION QUADRANT, 2022
11.8 STARTUP/SME COMPETITIVE BENCHMARKING
TABLE 230 NLP IN FINANCE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
TABLE 231 NLP IN FINANCE MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/ SMES, 2022
11.9 NLP IN FINANCE PRODUCT LANDSCAPE
11.9.1 PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
TABLE 232 COMPARATIVE ANALYSIS OF PROMINENT NAMED SENTIMENT ANALYSIS PRODUCTS
11.9.1.1 Lexalytics
11.9.1.2 Aylien
11.9.1.3 Google Cloud
11.9.1.4 IBM Watson
11.9.1.5 Amazon Comprehend
11.9.2 PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
TABLE 233 COMPARATIVE ANALYSIS OF PROMINENT NAMED ENTITY RECOGNITION PRODUCTS
11.9.2.1 Rosette
11.9.2.2 Spacy
11.9.2.3 Basis Tech
11.9.2.4 Expert.AI
11.9.2.5 MeaningCloud
11.9.3 PROMINENT TOPIC MODELING PRODUCTS
TABLE 234 COMPARATIVE ANALYSIS OF PROMINENT TOPIC MODELING PRODUCTS
11.9.3.1 Gensim
11.9.3.2 Mallet
11.9.3.3 LDAvis
11.9.3.4 bigARTM
11.9.3.5 Stanford NLP
11.9.4 PROMINENT TEXT CLASSIFICATION PRODUCTS
TABLE 235 COMPARATIVE ANALYSIS OF PROMINENT TEXT CLASSIFICATION PRODUCTS
11.9.4.1 MonkeyLearn
11.9.4.2 Datumbox
11.9.4.3 OpenAI
11.9.4.4 Hugging Face
11.9.4.5 TensorFlow
11.9.5 PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
TABLE 236 COMPARATIVE ANALYSIS OF PROMINENT DOCUMENT CLASSIFICATION PRODUCTS
11.9.5.1 Azure Cognitive Services Text Analytics
11.9.5.2 OpenText Magellan
11.9.5.3 RapidMiner
11.9.5.4 Prodigy By Explosion AI
11.9.5.5 KNIME Analytics Platform
11.10 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
FIGURE 47 VALUATION AND FINANCIAL METRICS OF KEY NLP IN FINANCE VENDORS
11.11 COMPETITIVE SCENARIO AND TRENDS
11.11.1 PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 237 SERVICE/PRODUCT LAUNCHES, 2020–2023
11.11.2 DEALS
TABLE 238 DEALS, 2021–2023
12 COMPANY PROFILES
12.1 INTRODUCTION
(Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats)*
12.2 KEY PLAYERS
12.2.1 MICROSOFT
TABLE 239 MICROSOFT: BUSINESS OVERVIEW
FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
TABLE 240 MICROSOFT: SOFTWARE/SERVICES OFFERED
TABLE 241 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 242 MICROSOFT: DEALS
12.2.2 IBM
TABLE 243 IBM: BUSINESS OVERVIEW
FIGURE 49 IBM: COMPANY SNAPSHOT
TABLE 244 IBM: SOFTWARE/SERVICES OFFERED
TABLE 245 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 246 IBM: DEALS
12.2.3 GOOGLE
TABLE 247 GOOGLE: BUSINESS OVERVIEW
FIGURE 50 GOOGLE: COMPANY SNAPSHOT
TABLE 248 GOOGLE: SOFTWARE/SERVICES OFFERED
TABLE 249 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 250 GOOGLE: DEALS
12.2.4 AWS
TABLE 251 AWS: BUSINESS OVERVIEW
FIGURE 51 AWS: COMPANY SNAPSHOT
TABLE 252 AWS: SOFTWARE/SERVICES OFFERED
TABLE 253 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 254 AWS: DEALS
12.2.5 ORACLE
TABLE 255 ORACLE: BUSINESS OVERVIEW
FIGURE 52 ORACLE: COMPANY SNAPSHOT
TABLE 256 ORACLE: SOFTWARE/SERVICES OFFERED
TABLE 257 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 258 ORACLE: DEALS
12.2.6 SAS INSTITUTE
TABLE 259 SAS INSTITUTE: BUSINESS OVERVIEW
TABLE 260 SAS INSTITUTE: SOFTWARE/SERVICES OFFERED
TABLE 261 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 262 SAS INSTITUTE: DEALS
12.2.7 QUALTRICS
TABLE 263 QUALTRICS: BUSINESS OVERVIEW
FIGURE 53 QUALTRICS: COMPANY SNAPSHOT
TABLE 264 QUALTRICS: SOFTWARE/SERVICES OFFERED
TABLE 265 QUALTRICS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 266 QUALTRICS: DEALS
12.2.8 BAIDU
TABLE 267 BAIDU: BUSINESS OVERVIEW
FIGURE 54 BAIDU: COMPANY SNAPSHOT
TABLE 268 BAIDU: SOFTWARE/SERVICES OFFERED
TABLE 269 BAIDU: PRODUCT LAUNCHES AND ENHANCEMENTS
12.2.9 INBENTA
TABLE 270 INBENTA: BUSINESS OVERVIEW
TABLE 271 INBENTA: SOFTWARE/SERVICES OFFERED
TABLE 272 INBENTA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 273 INBENTA: DEALS
12.2.10 BASIS TECHNOLOGY
TABLE 274 BASIS TECHNOLOGY: BUSINESS OVERVIEW
TABLE 275 BASIS TECHNOLOGY: SOFTWARE/SERVICES OFFERED
TABLE 276 BASIS TECHNOLOGY: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 277 BASIS TECHNOLOGY: DEALS
12.2.11 NUANCE COMMUNICATIONS
TABLE 278 NUANCE COMMUNICATIONS: BUSINESS OVERVIEW
FIGURE 55 NUANCE COMMUNICATIONS: COMPANY SNAPSHOT
TABLE 279 NUANCE COMMUNICATIONS: SOFTWARE/SERVICES OFFERED
TABLE 280 NUANCE COMMUNICATIONS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 281 NUANCE COMMUNICATIONS: DEALS
12.2.12 EXPERT.AI
TABLE 282 EXPERT.AI: BUSINESS OVERVIEW
FIGURE 56 EXPERT.AI: COMPANY SNAPSHOT
TABLE 283 EXPERT.AI: SOFTWARE/SERVICES OFFERED
TABLE 284 EXPERT.AI: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 285 EXPERT.AI: DEALS
12.2.13 LIVEPERSON
12.2.14 VERITONE
12.2.15 AUTOMATED INSIGHTS
12.2.16 BITEXT
12.2.17 CONVERSICA
12.2.18 ACCERN
12.2.19 KASISTO
12.2.20 KENSHO
12.2.21 ABBYY
12.2.22 MOSAIC
12.2.23 UNIPHORE
*Details on Business Overview, Software/Services offered, Recent Developments, MnM view, Key strengths, Strategic choices, Weakness and competitive threats might not be captured in case of unlisted companies.
12.3 STARTUP/SME PROFILES
12.3.1 OBSERVE.AI
12.3.2 LILT
12.3.3 COGNIGY
12.3.4 ADDEPTO
12.3.5 SKIT.AI
12.3.6 MINDTITAN
12.3.7 SUPERTEXT.AI
12.3.8 NARRATIVA
12.3.9 CRESTA
13 ADJACENT AND RELATED MARKETS
13.1 NLP IN HEALTHCARE & LIFE SCIENCES
13.1.1 MARKET DEFINITION
13.1.2 MARKET OVERVIEW
13.1.2.1 NLP in healthcare & life sciences market, by component
TABLE 286 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2017–2021 (USD MILLION)
TABLE 287 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 288 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 289 SOLUTIONS: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
TABLE 290 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 291 NLP IN HEALTHCARE & LIFE SCIENCES SOLUTIONS MARKET, BY TYPE, 2022–2027 (USD MILLION)
TABLE 292 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 293 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION)
TABLE 294 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 295 SERVICES: NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
13.1.2.2 NLP in healthcare & life sciences market, by type
TABLE 296 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2017–2021 (USD MILLION)
TABLE 297 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TYPE, 2022–2027 (USD MILLION)
13.1.2.3 NLP in healthcare & life sciences market, by application
TABLE 298 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2017–2021 (USD MILLION)
TABLE 299 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
13.1.2.4 NLP in healthcare & life sciences market, by size
TABLE 300 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2017–2021 (USD MILLION)
TABLE 301 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY SIZE, 2022–2027 (USD MILLION)
13.1.2.5 NLP in healthcare & life sciences market, by deployment mode
TABLE 302 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2017–2021 (USD MILLION)
TABLE 303 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
13.1.2.6 NLP in healthcare & life sciences market, by technique
TABLE 304 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2017–2021 (USD MILLION)
TABLE 305 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY TECHNIQUE, 2022–2027 (USD MILLION)
13.1.2.7 NLP in healthcare & life sciences market, by end user
TABLE 306 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2017–2021 (USD MILLION)
TABLE 307 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY END USER, 2022–2027 (USD MILLION)
13.1.2.8 NLP in healthcare & life sciences market, by region
TABLE 308 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 309 NLP IN HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2022–2027 (USD MILLION)
13.2 SPEECH ANALYTICS MARKET
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Speech analytics market, by component
TABLE 310 SPEECH ANALYTICS MARKET, BY COMPONENT, 2018–2021(USD MILLION)
TABLE 311 SPEECH ANALYTICS MARKET, BY COMPONENT, 2022–2027(USD MILLION)
TABLE 312 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021(USD MILLION)
TABLE 313 SOLUTIONS: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027(USD MILLION)
TABLE 314 SPEECH ANALYTICS MARKET, BY SERVICE, 2018–2021 (USD MILLION)
TABLE 315 SPEECH ANALYTICS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 316 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2018–2021 (USD MILLION)
TABLE 317 SERVICES: SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
13.2.2.2 Speech analytics market, by business function
TABLE 318 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2018–2021(USD MILLION)
TABLE 319 SPEECH ANALYTICS MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD MILLION)
13.2.2.3 Speech analytics market, by organization size
TABLE 320 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2018–2021 (USD MILLION)
TABLE 321 SPEECH ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
13.2.2.4 Speech analytics market, by deployment mode
TABLE 322 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2018–2021(USD MILLION)
TABLE 323 SPEECH ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027(USD MILLION)
13.2.2.5 Speech analytics market, by application
TABLE 324 SPEECH ANALYTICS MARKET, BY APPLICATION, 2017–2021 (USD MILLION)
TABLE 325 SPEECH ANALYTICS MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
13.2.2.6 Speech analytics market, by vertical
TABLE 326 SPEECH ANALYTICS MARKET BY VERTICAL, 2017–2021 (USD MILLION)
TABLE 327 SPEECH ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
13.2.2.7 Speech analytics market, by region
TABLE 328 SPEECH ANALYTICS MARKET, BY REGION, 2017–2021 (USD MILLION)
TABLE 329 SPEECH ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
