Natural Language Processing Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Component (Service, Solution, and Managed Services), By Deployment (On-Premises and Cloud), By Type (Statistical, Hybrid and Rule Based), By Application (Automatic Text Summarization, Semantic Analysis, Text Extraction, Sentiment Analysis, Speech Recognition, Machine Translation, Others), By Industry Vertical (BFSI, IT & Telecommunications, Healthcare and Life Science, Retail and E-Commerce, Government and Public Sector and Others), By Region, Competition
Global Natural Language Processing (NLP) Market is growing rapidly owing to the increasing demand for more automation software and solutions after the surge in Covid-19 pandemic. Natural language processing is becoming the foundational technology model for the next normal. Many enterprises are adopting natural language processing as a cost-effective solution to bolster employee productivity. The high usage for natural language processing solutions across various industries has become one of the significant factors offering cutting edge services for better efficiency, scalability, and customers’ experience. Moreover, the growth of the market is on account of the increasing adoption of the big data, cloud computing, Internet of Things (IoT), 5G Infrastructure, use of real-time analytics enabled by Machine Learning (ML) and Artificial Intelligence (AI) across the globe during the forecast period. Technology has become the key enabler of excellence and businesses are gradually becoming mobile as digitalization emerges, which is expected to drive the global natural language processing market during the forecast period.
Natural Language Processing (NLP) is a subset of Artificial Intelligence (AI) that integrates computational linguistics and rule-based modeling of human language with machine learning (ML), deep learning (DL) and statistical models. The combination allows a variety of methodologies to analyze the ambiguities in human languages including text or speech data recognition, automated summarization, disambiguation, entity and relation extraction and sentiment analysis. This also drives the computer programs that translate text from one language to another and summarize vast amounts of text rapidly in real time. Natural language processing does also play a great role in enterprise solutions for streamlining business operations, simplifying mission-critical business procedures, and increasing employee productivity. The role of this direction is the development of methods for automatic analysis and human language presentation to facilitate user’s work and satisfy the desire to communicate in natural language with the computers. This enables smooth workload migration behind machine intelligence and process in many modern real-world applications such as spam detection, virtual agents and chatbots, machine translation, social media sentiment analysis and text summarizations. Many NLP related software tasks such as morphological and syntactic analysis, have been successfully addressed and integrated for usage on the internet.
Rising Demand and Adoption of Cloud-based Technologies
The exponential growth and the massive adoption of cloud-based technologies is driving the natural language processing market globally owing to the recent developments in cloud computing. Cloud computing software and services such as Google cloud natural language, Microsoft Azure Cognitive services, third-party options, and software as services are enabling services to automate workflows based on unstructured data and offer a huge space for NLP technology and vendors to grow and expand geographically. Furthermore, the continuous technical advancement to provide low-cost and flexible on-demand computing infrastructure with good service reliability is enabling the growing adoption of cloud-based technologies. Thus, this rising adoption is expected to drive the natural language processing market.
Increasing Adoption of Technologies in the Healthcare Sector
One of the main drivers for the small and medium-sized enterprise is the increasing demand for adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML) and 5G in the healthcare industries. As natural learning processing has the potential to revolutionize with cutting-edge breakthrough technology, many new and exciting opportunities are being created. Applications in healthcare such as clinical documentation, clinical trials, medical transcription, decision support system and many more are adopted for patient health awareness, pharmacovigilance, disease diagnostics, increasing patent interaction with the Electronic Health Record (EHR) and improve care quality. Moreover, technological advancement in the emerging technology services for streamlining the process are enabling the massive use of Artificial Intelligence (AI) capabilities in the healthcare are expected to grow the natural language processing market in the forecast period.
Growing use of Smart Devices in the Industry
The rapid expansion of smart devices with computing capabilities, proliferated data exchange mobility, data deployment options and varied technology connectivity has enabled potential opportunities which have altered the workload flexible, available and cost effective. The increasing amount of smart consumer electronics activated by voice has become a natural step of technological evolution. In the IoT space, combining machine learning and natural language processing allows intelligent devices to offer ambient sound processing solutions. Moreover, applications particularly in popular home assistant devices such as Google Home, Apple HomePod and Amazon Alexa are increasingly getting popular allowing enterprises for partnerships to adapt more advanced technologies to boost the capabilities. For instance, as per Statista Technology Market Outlook, in FY2022, it is estimated that around 130 million households are home to at least one smart speaker and the market is expected to increase as many as 335 million households in the next 5 years. Thus, the growing use of smart devices is driving the demand for natural language processing market during the forecast period.
Market Segmentation
The natural language processing (NLP) market is segmented into component, deployment, organization, type, application, industry vertical and region. Based on component type, the market is bifurcated into services, solution, and managed services. Based on deployment, the market is further bifurcated into on-premises and cloud. Based on organization, the market is further divided into large and small & medium enterprises. Based on type, the market is segmented into statistical, hybrid and rule-based. Based on application, the market is further divided into automatic text summarization, semantic analysis, text extraction, sentiment analysis, speech recognition, machine translation, others automatic text summarization, semantic analysis, text extraction, sentiment analysis, speech recognition, machine translation, and others. The industry vertical segment is further divided into BFSI, IT & telecommunications, healthcare & life science, retail & e-commerce, government & public sector and others.
Market Player
Major market players in the global natural language processing market are Microsoft Corporation, IBM Corporation, Apple Inc., 3M Company, Amazon Inc., Google Inc., Dolbey Systems, Inc., Intel Corporation, Baidu, Inc., and Veritone Inc.
Report Scope:
In this report, the global natural language processing market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the global natural language processing market.
Available Customizations:
With the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Natural Language Processing (NLP) is a subset of Artificial Intelligence (AI) that integrates computational linguistics and rule-based modeling of human language with machine learning (ML), deep learning (DL) and statistical models. The combination allows a variety of methodologies to analyze the ambiguities in human languages including text or speech data recognition, automated summarization, disambiguation, entity and relation extraction and sentiment analysis. This also drives the computer programs that translate text from one language to another and summarize vast amounts of text rapidly in real time. Natural language processing does also play a great role in enterprise solutions for streamlining business operations, simplifying mission-critical business procedures, and increasing employee productivity. The role of this direction is the development of methods for automatic analysis and human language presentation to facilitate user’s work and satisfy the desire to communicate in natural language with the computers. This enables smooth workload migration behind machine intelligence and process in many modern real-world applications such as spam detection, virtual agents and chatbots, machine translation, social media sentiment analysis and text summarizations. Many NLP related software tasks such as morphological and syntactic analysis, have been successfully addressed and integrated for usage on the internet.
Rising Demand and Adoption of Cloud-based Technologies
The exponential growth and the massive adoption of cloud-based technologies is driving the natural language processing market globally owing to the recent developments in cloud computing. Cloud computing software and services such as Google cloud natural language, Microsoft Azure Cognitive services, third-party options, and software as services are enabling services to automate workflows based on unstructured data and offer a huge space for NLP technology and vendors to grow and expand geographically. Furthermore, the continuous technical advancement to provide low-cost and flexible on-demand computing infrastructure with good service reliability is enabling the growing adoption of cloud-based technologies. Thus, this rising adoption is expected to drive the natural language processing market.
Increasing Adoption of Technologies in the Healthcare Sector
One of the main drivers for the small and medium-sized enterprise is the increasing demand for adoption of advanced technologies such as artificial intelligence (AI), machine learning (ML) and 5G in the healthcare industries. As natural learning processing has the potential to revolutionize with cutting-edge breakthrough technology, many new and exciting opportunities are being created. Applications in healthcare such as clinical documentation, clinical trials, medical transcription, decision support system and many more are adopted for patient health awareness, pharmacovigilance, disease diagnostics, increasing patent interaction with the Electronic Health Record (EHR) and improve care quality. Moreover, technological advancement in the emerging technology services for streamlining the process are enabling the massive use of Artificial Intelligence (AI) capabilities in the healthcare are expected to grow the natural language processing market in the forecast period.
Growing use of Smart Devices in the Industry
The rapid expansion of smart devices with computing capabilities, proliferated data exchange mobility, data deployment options and varied technology connectivity has enabled potential opportunities which have altered the workload flexible, available and cost effective. The increasing amount of smart consumer electronics activated by voice has become a natural step of technological evolution. In the IoT space, combining machine learning and natural language processing allows intelligent devices to offer ambient sound processing solutions. Moreover, applications particularly in popular home assistant devices such as Google Home, Apple HomePod and Amazon Alexa are increasingly getting popular allowing enterprises for partnerships to adapt more advanced technologies to boost the capabilities. For instance, as per Statista Technology Market Outlook, in FY2022, it is estimated that around 130 million households are home to at least one smart speaker and the market is expected to increase as many as 335 million households in the next 5 years. Thus, the growing use of smart devices is driving the demand for natural language processing market during the forecast period.
Market Segmentation
The natural language processing (NLP) market is segmented into component, deployment, organization, type, application, industry vertical and region. Based on component type, the market is bifurcated into services, solution, and managed services. Based on deployment, the market is further bifurcated into on-premises and cloud. Based on organization, the market is further divided into large and small & medium enterprises. Based on type, the market is segmented into statistical, hybrid and rule-based. Based on application, the market is further divided into automatic text summarization, semantic analysis, text extraction, sentiment analysis, speech recognition, machine translation, others automatic text summarization, semantic analysis, text extraction, sentiment analysis, speech recognition, machine translation, and others. The industry vertical segment is further divided into BFSI, IT & telecommunications, healthcare & life science, retail & e-commerce, government & public sector and others.
Market Player
Major market players in the global natural language processing market are Microsoft Corporation, IBM Corporation, Apple Inc., 3M Company, Amazon Inc., Google Inc., Dolbey Systems, Inc., Intel Corporation, Baidu, Inc., and Veritone Inc.
Report Scope:
In this report, the global natural language processing market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Natural Language Processing Market, By Component
- Service
- Solution
- Managed Services
- Natural Language Processing Market, By Deployment
- On-Premises
- Cloud
- Natural Language Processing Market, By Organization
- Large Enterprises
- Small & Medium Enterprises
- Natural Language Processing Market, By Type
- Statistical
- Hybrid
- Rule Based
- Natural Language Processing Market, By Application
- Automatic Test Summarization
- Semantic Analysis
- Text Extraction
- Sentiment Analysis
- Speech Recognition
- Machine Translation
- Others
- Natural Language Processing Market, By Industry Vertical
- BFSI
- IT & Telecommunication
- Healthcare & Life Science
- Retail & E-Commerce
- Government & Public Sector
- Others
- Natural Language Processing Market, By Region:
- North America
- United States
- Canada
- Mexico
- Asia-Pacific
- China
- Japan
- South Korea
- India
- Australia
- Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- South America
- Brazil
- Argentina
- Colombia
- Middle East
- UAE
- Kuwait
- Saudi Arabia
- South Africa
Company Profiles: Detailed analysis of the major companies present in the global natural language processing market.
Available Customizations:
With the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. Service Overview
2. RESEARCH METHODOLOGY
3. IMPACT OF COVID-19 ON GLOBAL NATURAL LANGUAGE PROCESSING MARKET
4. EXECUTIVE SUMMARY
5. VOICE OF CUSTOMERS
6. GLOBAL NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service, Solution and Managed Services)
6.2.2. By Deployment (On-Premises and Cloud)
6.2.3. By Organization (Large Enterprises, Small & Medium Enterprises)
6.2.4. By Type (Statistical, Hybrid and Rule Based)
6.2.5. By Application (Automatic Text Summarization, Semantic Analysis, Text Extraction, Sentiment Analysis, Speech Recognition, Machine Translation, Others)
6.2.6. By Industry Vertical (BFSI, IT & Telecommunication, Healthcare & Life Science, Retail & E-Commerce, Government & Public Sector, Others)
6.2.7. By Region (North America, Europe, Asia-Pacific, South America, Middle East & Africa (MEA))
6.3. By Company (2022)
6.4. Market Map
7. NORTH AMERICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment
7.2.3. By Organization
7.2.4. By Type
7.2.5. By Application
7.2.6. By Industry Vertical
7.2.7. By Country
7.3. North America: Country Analysis
7.3.1. United States Natural Language Processing Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Deployment
7.3.1.2.3. By Organization
7.3.1.2.4. By Type
7.3.1.2.5. By Application
7.3.1.2.6. By Industry Vertical
7.3.2. Canada Natural Language Processing Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Deployment
7.3.2.2.3. By Organization
7.3.2.2.4. By Type
7.3.2.2.5. By Application
7.3.2.2.6. By Industry Vertical
7.3.3. Mexico Natural Language Processing Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Deployment
7.3.3.2.3. By Organization
7.3.3.2.4. By Type
7.3.3.2.5. By Application
7.3.3.2.6. By Industry Vertical
8. ASIA-PACIFIC NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By Organization
8.2.4. By Type
8.2.5. By Application
8.2.6. By Industry Vertical
8.2.7. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Natural Language Processing Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Deployment
8.3.1.2.3. By Organization
8.3.1.2.4. By Type
8.3.1.2.5. By Application
8.3.1.2.6. By Industry Vertical
8.3.2. Japan Natural Language Processing Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Deployment
8.3.2.2.3. By Organization
8.3.2.2.4. By Type
8.3.2.2.5. By Application
8.3.2.2.6. By Industry Vertical
8.3.3. South Korea Natural Language Processing Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Deployment
8.3.3.2.3. By Organization
8.3.3.2.4. By Type
8.3.3.2.5. By Application
8.3.3.2.6. By Industry Vertical
8.3.4. India Natural Language Processing Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Deployment
8.3.4.2.3. By Organization
8.3.4.2.4. By Type
8.3.4.2.5. By Application
8.3.4.2.6. By Industry Vertical
8.3.5. Australia Natural Language Processing Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Deployment
8.3.5.2.3. By Organization
8.3.5.2.4. By Type
8.3.5.2.5. By Application
8.3.5.2.6. By Industry Vertical
9. EUROPE NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment
9.2.3. By Organization
9.2.4. By Type
9.2.5. By Application
9.2.6. By Industry Vertical
9.2.7. By Country
9.3. Europe: Country Analysis
9.3.1. United Kingdom Natural Language Processing Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Deployment
9.3.1.2.3. By Organization
9.3.1.2.4. By Type
9.3.1.2.5. By Application
9.3.1.2.6. By Industry Vertical
9.3.2. Germany Natural Language Processing Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Deployment
9.3.2.2.3. By Organization
9.3.2.2.4. By Type
9.3.2.2.5. By Application
9.3.2.2.6. By Industry Vertical
9.3.3. France Natural Language Processing Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Deployment
9.3.3.2.3. By Organization
9.3.3.2.4. By Type
9.3.3.2.5. By Application
9.3.3.2.6. By Industry Vertical
9.3.4. Italy Natural Language Processing Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Component
9.3.4.2.2. By Deployment
9.3.4.2.3. By Organization
9.3.4.2.4. By Type
9.3.4.2.5. By Application
9.3.4.2.6. By Industry Vertical
9.3.5. Spain Natural Language Processing Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Component
9.3.5.2.2. By Deployment
9.3.5.2.3. By Organization
9.3.5.2.4. By Type
9.3.5.2.5. By Application
9.3.5.2.6. By Industry Vertical
10. SOUTH AMERICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment
10.2.3. By Organization
10.2.4. By Type
10.2.5. By Application
10.2.6. By Industry Vertical
10.2.7. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Natural Language Processing Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Deployment
10.3.1.2.3. By Organization
10.3.1.2.4. By Type
10.3.1.2.5. By Application
10.3.1.2.6. By Industry Vertical
10.3.2. Argentina Natural Language Processing Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Deployment
10.3.2.2.3. By Organization
10.3.2.2.4. By Type
10.3.2.2.5. By Application
10.3.2.2.6. By Industry Vertical
10.3.3. Colombia Natural Language Processing Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Deployment
10.3.3.2.3. By Organization
10.3.3.2.4. By Type
10.3.3.2.5. By Application
10.3.3.2.6. By Industry Vertical
11. MIDDLE EAST & AFRICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment
11.2.3. By Organization
11.2.4. By Type
11.2.5. By Application
11.2.6. By Industry Vertical
11.2.7. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. UAE Natural Language Processing Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Deployment
11.3.1.2.3. By Organization
11.3.1.2.4. By Type
11.3.1.2.5. By Application
11.3.1.2.6. By Industry Vertical
11.3.2. Kuwait Natural Language Processing Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Deployment
11.3.2.2.3. By Organization
11.3.2.2.4. By Type
11.3.2.2.5. By Application
11.3.2.2.6. By Industry Vertical
11.3.3. Saudi Arabia Natural Language Processing Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Deployment
11.3.3.2.3. By Organization
11.3.3.2.4. By Type
11.3.3.2.5. By Application
11.3.3.2.6. By Industry Vertical
11.3.4. South Africa Natural Language Processing Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Deployment
11.3.4.2.3. By Organization
11.3.4.2.4. By Type
11.3.4.2.5. By Application
11.3.4.2.6. By Industry Vertical
12. MARKET DYNAMICS
12.1. Drivers
12.1.1. Rising Demand and Adoption of Cloud-based Technologies
12.1.2. Increasing Adoption of Technology in the Healthcare Industry
12.1.3. Growing use of Smart Devices in the Industry
12.2. Challenges
12.2.1. Lack of Skilled Professional across the Industry
12.2.2. Operational Complexity from Traditional to Advanced Technology
13. MARKET TRENDS & DEVELOPMENTS
13.1. Surge in Demand for Corporate Solutions to Optimize Business Operations for Better Client Experience
13.2. Increasing Adoption of Cognitive Technology in the Field of Artificial Intelligence (AI)
13.3. Increasing Government Initiatives
13.4. Changing Business needs due to Covid-19 Driving Adoption
13.5. Rising adoption of Cloud Computing services
14. COMPANY PROFILES
14.1. Microsoft Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. Key Product/Services
14.2. IBM Corporation
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel
14.2.5. Key Product/Services
14.3. Apple Inc.
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel
14.3.5. Key Product/Services
14.4. 3M Company
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel
14.4.5. Key Product/Services
14.5. Amazon Inc.
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel
14.5.5. Key Product/Services
14.6. Google Inc.
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel
14.6.5. Key Product/Services
14.7. Dolbey Systems, Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel
14.7.5. Key Product/Services
14.8. Intel Corporation
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel
14.8.5. Key Product/Services
14.9. Baidu, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel
14.9.5. Key Product/Services
14.10. Veritone Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel
14.10.5. Key Product/Services
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
(Note: The companies list can be customized based on the client requirements.)
2. RESEARCH METHODOLOGY
3. IMPACT OF COVID-19 ON GLOBAL NATURAL LANGUAGE PROCESSING MARKET
4. EXECUTIVE SUMMARY
5. VOICE OF CUSTOMERS
6. GLOBAL NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service, Solution and Managed Services)
6.2.2. By Deployment (On-Premises and Cloud)
6.2.3. By Organization (Large Enterprises, Small & Medium Enterprises)
6.2.4. By Type (Statistical, Hybrid and Rule Based)
6.2.5. By Application (Automatic Text Summarization, Semantic Analysis, Text Extraction, Sentiment Analysis, Speech Recognition, Machine Translation, Others)
6.2.6. By Industry Vertical (BFSI, IT & Telecommunication, Healthcare & Life Science, Retail & E-Commerce, Government & Public Sector, Others)
6.2.7. By Region (North America, Europe, Asia-Pacific, South America, Middle East & Africa (MEA))
6.3. By Company (2022)
6.4. Market Map
7. NORTH AMERICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment
7.2.3. By Organization
7.2.4. By Type
7.2.5. By Application
7.2.6. By Industry Vertical
7.2.7. By Country
7.3. North America: Country Analysis
7.3.1. United States Natural Language Processing Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Deployment
7.3.1.2.3. By Organization
7.3.1.2.4. By Type
7.3.1.2.5. By Application
7.3.1.2.6. By Industry Vertical
7.3.2. Canada Natural Language Processing Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Deployment
7.3.2.2.3. By Organization
7.3.2.2.4. By Type
7.3.2.2.5. By Application
7.3.2.2.6. By Industry Vertical
7.3.3. Mexico Natural Language Processing Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Deployment
7.3.3.2.3. By Organization
7.3.3.2.4. By Type
7.3.3.2.5. By Application
7.3.3.2.6. By Industry Vertical
8. ASIA-PACIFIC NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By Organization
8.2.4. By Type
8.2.5. By Application
8.2.6. By Industry Vertical
8.2.7. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Natural Language Processing Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Deployment
8.3.1.2.3. By Organization
8.3.1.2.4. By Type
8.3.1.2.5. By Application
8.3.1.2.6. By Industry Vertical
8.3.2. Japan Natural Language Processing Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Deployment
8.3.2.2.3. By Organization
8.3.2.2.4. By Type
8.3.2.2.5. By Application
8.3.2.2.6. By Industry Vertical
8.3.3. South Korea Natural Language Processing Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Deployment
8.3.3.2.3. By Organization
8.3.3.2.4. By Type
8.3.3.2.5. By Application
8.3.3.2.6. By Industry Vertical
8.3.4. India Natural Language Processing Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Deployment
8.3.4.2.3. By Organization
8.3.4.2.4. By Type
8.3.4.2.5. By Application
8.3.4.2.6. By Industry Vertical
8.3.5. Australia Natural Language Processing Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Deployment
8.3.5.2.3. By Organization
8.3.5.2.4. By Type
8.3.5.2.5. By Application
8.3.5.2.6. By Industry Vertical
9. EUROPE NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment
9.2.3. By Organization
9.2.4. By Type
9.2.5. By Application
9.2.6. By Industry Vertical
9.2.7. By Country
9.3. Europe: Country Analysis
9.3.1. United Kingdom Natural Language Processing Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Deployment
9.3.1.2.3. By Organization
9.3.1.2.4. By Type
9.3.1.2.5. By Application
9.3.1.2.6. By Industry Vertical
9.3.2. Germany Natural Language Processing Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Deployment
9.3.2.2.3. By Organization
9.3.2.2.4. By Type
9.3.2.2.5. By Application
9.3.2.2.6. By Industry Vertical
9.3.3. France Natural Language Processing Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Deployment
9.3.3.2.3. By Organization
9.3.3.2.4. By Type
9.3.3.2.5. By Application
9.3.3.2.6. By Industry Vertical
9.3.4. Italy Natural Language Processing Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Component
9.3.4.2.2. By Deployment
9.3.4.2.3. By Organization
9.3.4.2.4. By Type
9.3.4.2.5. By Application
9.3.4.2.6. By Industry Vertical
9.3.5. Spain Natural Language Processing Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Component
9.3.5.2.2. By Deployment
9.3.5.2.3. By Organization
9.3.5.2.4. By Type
9.3.5.2.5. By Application
9.3.5.2.6. By Industry Vertical
10. SOUTH AMERICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment
10.2.3. By Organization
10.2.4. By Type
10.2.5. By Application
10.2.6. By Industry Vertical
10.2.7. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Natural Language Processing Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Deployment
10.3.1.2.3. By Organization
10.3.1.2.4. By Type
10.3.1.2.5. By Application
10.3.1.2.6. By Industry Vertical
10.3.2. Argentina Natural Language Processing Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Deployment
10.3.2.2.3. By Organization
10.3.2.2.4. By Type
10.3.2.2.5. By Application
10.3.2.2.6. By Industry Vertical
10.3.3. Colombia Natural Language Processing Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Deployment
10.3.3.2.3. By Organization
10.3.3.2.4. By Type
10.3.3.2.5. By Application
10.3.3.2.6. By Industry Vertical
11. MIDDLE EAST & AFRICA NATURAL LANGUAGE PROCESSING MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment
11.2.3. By Organization
11.2.4. By Type
11.2.5. By Application
11.2.6. By Industry Vertical
11.2.7. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. UAE Natural Language Processing Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Deployment
11.3.1.2.3. By Organization
11.3.1.2.4. By Type
11.3.1.2.5. By Application
11.3.1.2.6. By Industry Vertical
11.3.2. Kuwait Natural Language Processing Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Deployment
11.3.2.2.3. By Organization
11.3.2.2.4. By Type
11.3.2.2.5. By Application
11.3.2.2.6. By Industry Vertical
11.3.3. Saudi Arabia Natural Language Processing Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Deployment
11.3.3.2.3. By Organization
11.3.3.2.4. By Type
11.3.3.2.5. By Application
11.3.3.2.6. By Industry Vertical
11.3.4. South Africa Natural Language Processing Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Deployment
11.3.4.2.3. By Organization
11.3.4.2.4. By Type
11.3.4.2.5. By Application
11.3.4.2.6. By Industry Vertical
12. MARKET DYNAMICS
12.1. Drivers
12.1.1. Rising Demand and Adoption of Cloud-based Technologies
12.1.2. Increasing Adoption of Technology in the Healthcare Industry
12.1.3. Growing use of Smart Devices in the Industry
12.2. Challenges
12.2.1. Lack of Skilled Professional across the Industry
12.2.2. Operational Complexity from Traditional to Advanced Technology
13. MARKET TRENDS & DEVELOPMENTS
13.1. Surge in Demand for Corporate Solutions to Optimize Business Operations for Better Client Experience
13.2. Increasing Adoption of Cognitive Technology in the Field of Artificial Intelligence (AI)
13.3. Increasing Government Initiatives
13.4. Changing Business needs due to Covid-19 Driving Adoption
13.5. Rising adoption of Cloud Computing services
14. COMPANY PROFILES
14.1. Microsoft Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. Key Product/Services
14.2. IBM Corporation
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel
14.2.5. Key Product/Services
14.3. Apple Inc.
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel
14.3.5. Key Product/Services
14.4. 3M Company
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel
14.4.5. Key Product/Services
14.5. Amazon Inc.
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel
14.5.5. Key Product/Services
14.6. Google Inc.
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel
14.6.5. Key Product/Services
14.7. Dolbey Systems, Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel
14.7.5. Key Product/Services
14.8. Intel Corporation
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel
14.8.5. Key Product/Services
14.9. Baidu, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel
14.9.5. Key Product/Services
14.10. Veritone Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel
14.10.5. Key Product/Services
15. STRATEGIC RECOMMENDATIONS
16. ABOUT US & DISCLAIMER
(Note: The companies list can be customized based on the client requirements.)
