No-Code AI Platforms Market Size, Share, Growth Analysis, by Offering (Solutions, Services), Technology, Data Modality, Application (Workflow Automation, Platform Building, Predictive Lead Scoring), Vertical, and Region - Global Industry Forecast to 2029
The global no-code AI platforms market is expected to grow from USD 4.9 billion in 2024 to USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. No-code AI democratizes artificial intelligence by enabling non-technical users, business analysts, and domain experts to participate in development without coding skills. It accelerates prototyping and deployment through intuitive drag-and-drop interfaces, reducing development time and costs associated with hiring specialized talent. These platforms offer user-friendly interfaces that cater to varying levels of technical expertise and allow for customization to optimize performance for specific use cases. No-code AI promotes collaboration between technical and non-technical teams, fostering comprehensive AI solutions. Its agility supports rapid adjustments to models in response to evolving business needs and data trends, making it a flexible choice for businesses aiming to leverage AI effectively.
“By offering, the solutions segment is projected to hold the largest market size during the forecast period.”
In the expanding market of no-code AI platforms, businesses are pioneering accessible solutions to democratize artificial intelligence. These platforms feature intuitive drag-and-drop interfaces, ready-made templates for rapid AI deployment, and automated machine learning capabilities that streamline model development. It prioritizes seamless integration with existing systems, ensuring operational efficiency and compatibility. Furthermore, these platforms are engineered for scalability, accommodating diverse workloads and delivering robust performance for real-time applications. By enabling businesses to harness advanced analytics and predictive capabilities without the need for deep technical knowledge, vendors facilitate innovation and agility in competitive landscapes.
“By Application, platform building is registered to grow at the highest CAGR during the forecast period.”
The rapid evolution of no-code AI platforms has significantly boosted the growth of platform building as a versatile application. These platforms empower users with little to no programming background to create sophisticated applications and systems effortlessly. From automating routine tasks to developing complex AI-driven solutions, the accessibility and user-friendliness of no-code AI tools have democratized technology. As a result, businesses across various sectors are increasingly adopting these platforms to streamline operations, enhance customer interactions, and innovate without relying on traditional software development cycles.
“Asia Pacific is projected to witness the highest CAGR during the forecast period.”
The no-code AI platforms market is experiencing rapid growth across the Asia Pacific region, driven by increasing digital transformation initiatives and a burgeoning startup ecosystem. These platforms empower users without extensive programming skills to create AI-powered solutions swiftly and efficiently. Countries such as India, China, Japan, and other are at the forefront, fostering innovation hubs and supporting tech entrepreneurship. In India, for instance, the rise of no-code AI platforms is democratizing access to AI tools, enabling businesses of all sizes to leverage predictive analytics and automation. China's tech giants are investing heavily in no-code AI platforms to cater to the diverse needs of their large market and accelerate adoption in sectors ranging from e-commerce to healthcare. Overall, the Asia Pacific region is witnessing a paradigm shift where accessibility and usability of AI technology are expanding, promising significant advancements in sectors critical to economic growth and innovation.
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 no-code AI platforms market.
Research Coverage
The market study covers no-code AI platforms across segments. It aims at estimating the market size and the growth potential across different segments, such as solutions ( by type, and deployment mode] & services), technology, data modality, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for no-code AI platforms and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
“By offering, the solutions segment is projected to hold the largest market size during the forecast period.”
In the expanding market of no-code AI platforms, businesses are pioneering accessible solutions to democratize artificial intelligence. These platforms feature intuitive drag-and-drop interfaces, ready-made templates for rapid AI deployment, and automated machine learning capabilities that streamline model development. It prioritizes seamless integration with existing systems, ensuring operational efficiency and compatibility. Furthermore, these platforms are engineered for scalability, accommodating diverse workloads and delivering robust performance for real-time applications. By enabling businesses to harness advanced analytics and predictive capabilities without the need for deep technical knowledge, vendors facilitate innovation and agility in competitive landscapes.
“By Application, platform building is registered to grow at the highest CAGR during the forecast period.”
The rapid evolution of no-code AI platforms has significantly boosted the growth of platform building as a versatile application. These platforms empower users with little to no programming background to create sophisticated applications and systems effortlessly. From automating routine tasks to developing complex AI-driven solutions, the accessibility and user-friendliness of no-code AI tools have democratized technology. As a result, businesses across various sectors are increasingly adopting these platforms to streamline operations, enhance customer interactions, and innovate without relying on traditional software development cycles.
“Asia Pacific is projected to witness the highest CAGR during the forecast period.”
The no-code AI platforms market is experiencing rapid growth across the Asia Pacific region, driven by increasing digital transformation initiatives and a burgeoning startup ecosystem. These platforms empower users without extensive programming skills to create AI-powered solutions swiftly and efficiently. Countries such as India, China, Japan, and other are at the forefront, fostering innovation hubs and supporting tech entrepreneurship. In India, for instance, the rise of no-code AI platforms is democratizing access to AI tools, enabling businesses of all sizes to leverage predictive analytics and automation. China's tech giants are investing heavily in no-code AI platforms to cater to the diverse needs of their large market and accelerate adoption in sectors ranging from e-commerce to healthcare. Overall, the Asia Pacific region is witnessing a paradigm shift where accessibility and usability of AI technology are expanding, promising significant advancements in sectors critical to economic growth and innovation.
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 no-code AI platforms market.
- By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
- By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
- By Region: North America: 40%, Europe: 20%, Asia Pacific: 25%, Middle East & Africa: 10%, Latin America: 5%
Research Coverage
The market study covers no-code AI platforms across segments. It aims at estimating the market size and the growth potential across different segments, such as solutions ( by type, and deployment mode] & services), technology, data modality, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for no-code AI platforms and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Growing need to reduce dependency on extensive coding expertise, Empowering rapid prototyping and collaboration with no-code AI platforms), restraints (Balancing customization and simplicity in no-code AI platforms to drive market growth, Growing concern of data quality on no-code AI tool effectiveness), opportunities (Capitalizing on ethical AI unlocks new avenues for growth and innovation, Rising demand for streamlining operations drives business efficiency), and challenges (Navigating vendor lock-in in the no-code AI platform market, Issues related with scalability to meet heightened user demands or accommodate complex functionalities) influencing the growth of the no-code AI platforms market.
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the no-code AI platforms market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the no-code AI platforms market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in no-code AI platforms market strategies; the report also helps stakeholders understand the pulse of the no-code AI platforms market and provides them with information on key market drivers, restraints, challenges, and opportunities.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Google (US), AWS (US), and Salesforce (US) among others in the no-code AI platforms market.
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
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
1.7 RECESSION IMPACT
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key insights from industry experts
2.2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 IMPACT OF RECESSION
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NO-CODE AI PLATFORMS MARKET
4.2 OVERVIEW OF RECESSION IN GLOBAL NO-CODE AI PLATFORMS MARKET
4.3 NO-CODE AI PLATFORMS MARKET, BY KEY TECHNOLOGY, 2024–2029
4.4 NO-CODE AI PLATFORMS MARKET, BY OFFERING AND KEY VERTICAL, 2024
4.5 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing need to reduce dependency on extensive coding expertise
5.2.1.2 Empowering rapid prototyping and collaboration with no-code AI platforms
5.2.2 RESTRAINTS
5.2.2.1 Limited customization options to impede market growth
5.2.2.2 Growing concern about data quality on no-code AI tool effectiveness
5.2.3 OPPORTUNITIES
5.2.3.1 Capitalizing on ethical AI unlocks new avenues for growth and innovation
5.2.3.2 Rising demand for streamlining operations drives business efficiency
5.2.4 CHALLENGES
5.2.4.1 Navigating vendor lock-in in no-code AI platforms market
5.2.4.2 Issues related with scalability to meet heightened user demands or accommodate complex functionalities
5.3 NO-CODE AI PLATFORMS MARKET: EVOLUTION
5.4 ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 SPH LEVERAGES GOOGLE APPSHEET TO ADAPT TO RAPIDLY CHANGING BUSINESS NEEDS
5.5.2 OBVIOUSLY AI HELPED CREDITT TO STREAMLINE ITS LOAN EVALUATION PROCESS
5.5.3 TOSOH CORPORATION SELECTED APPY PIE TO PROVIDE PRODUCT INFORMATION EASILY FOR ITS POTENTIAL CLIENTS
5.5.4 DUBAI REFRESHMENTS LEVERAGES BUILDER.AI TO STREAMLINE OPERATIONS AND ACCOMMODATE RAPID GROWTH
5.5.5 BUBBLE HELPS CITY OF ATLANTA TO MODERNIZE ITS PROCUREMENT OPERATIONS
5.6 SUPPLY CHAIN ANALYSIS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Generative AI
5.7.1.2 AutoML
5.7.1.3 Conversational AI
5.7.1.4 Cloud Computing
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Explainable AI
5.7.2.2 Blockchain
5.7.2.3 Edge Computing
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Big Data
5.7.3.2 AR & VR
5.7.3.3 Robotic Process Automation
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 THREAT OF NEW ENTRANTS
5.8.2 THREAT OF SUBSTITUTES
5.8.3 BARGAINING POWER OF SUPPLIERS
5.8.4 BARGAINING POWER OF BUYERS
5.8.5 INTENSITY OF COMPETITIVE RIVALRY
5.9 PRICING ANALYSIS
5.9.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
5.9.2 INDICATIVE PRICING ANALYSIS OF NO-CODE AI PLATFORMS, BY OFFERING
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.10.2 PATENTS FILED, BY DOCUMENT TYPE
5.10.3 INNOVATION AND PATENT APPLICATIONS
5.10.3.1 Top 10 applicants in no-code AI platforms market
5.11 KEY CONFERENCES & EVENTS, 2024–2025
5.12 REGULATORY LANDSCAPE
5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.12.1.1 North America
5.12.1.1.1 SCR 17: Artificial Intelligence Bill (California)
5.12.1.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut )
5.12.1.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.12.1.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
5.12.1.2 Europe
5.12.1.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
5.12.1.2.2 General Data Protection Regulation (Europe)
5.12.1.3 Asia Pacific
5.12.1.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.12.1.3.2 The National AI Strategy (Singapore)
5.12.1.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.12.1.4 Middle East & Africa
5.12.1.4.1 The National Strategy for Artificial Intelligence (UAE)
5.12.1.4.2 The National Artificial Intelligence Strategy (Qatar)
5.12.1.4.3 The AI Ethics Principles and Guidelines (Dubai)
5.12.1.5 Latin America
5.12.1.5.1 The Santiago Declaration (Chile)
5.12.1.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.13.2 BUYING CRITERIA
5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.15 INVESTMENT AND FUNDING SCENARIO
5.16 COMPARISON OF TRADITIONAL AI PROCESS AND NO-CODE AI PROCESS
6 NO-CODE AI PLATFORMS MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: NO-CODE AI PLATFORMS MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 GROWING NEED TO SWIFTLY PROTOTYPE AND DEPLOY AI MODELS WITHOUT TECHNICAL EXPERTISE TO BOOST GROWTH
6.2.2 SOLUTIONS, BY TYPE
6.2.2.1 Reporting & visualization tools
6.2.2.2 AutoML platforms
6.2.2.3 Automation platforms
6.2.2.3.1 Flow builder tools
6.2.2.3.2 Conversational AI building tools
6.2.2.3.3 Business process automation tools
6.2.2.3.4 Other automation platforms
6.2.2.4 Other solution types
6.2.3 SOLUTIONS, BY DEPLOYMENT MODE
6.2.3.1 Cloud
6.2.3.2 On-premises
6.3 SERVICES
6.3.1 RISING NEED FOR EFFICIENT AI DEVELOPMENT & DEPLOYMENT TO DRIVE GROWTH
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Consulting services
6.3.2.2 Deployment & integration services
6.3.2.3 Support & maintenance services
6.3.3 MANAGED SERVICES
7 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
7.1.1 TECHNOLOGY: NO-CODE AI PLATFORMS MARKET DRIVERS
7.2 PREDICTIVE ANALYTICS
7.2.1 GROWING NEED TO LEVERAGE AI TECHNOLOGY FOR ANALYZING HISTORICAL DATA TO DRIVE MARKET
7.3 DEEP LEARNING
7.3.1 GROWING ABILITY TO PROCESS VAST AMOUNTS OF DATA AND EXTRACT INTRICATE PATTERNS TO DRIVE MARKET
7.4 NATURAL LANGUAGE PROCESSING
7.4.1 RISING NEED FOR ANALYZING TEXT FOR INSIGHTS AND CREATING CONVERSATIONAL CHATBOTS TO DRIVE MARKET
7.5 COMPUTER VISION
7.5.1 RISING NEED TO FACILITATE RAPID DEVELOPMENT AND DEPLOYMENT OF AI VISION APPLICATIONS TO DRIVE MARKET
8 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY
8.1 INTRODUCTION
8.1.1 DATA MODALITY: NO-CODE AI PLATFORMS MARKET DRIVERS
8.2 TEXT
8.2.1 GROWING NEED FOR TEXT-BASED MODELS TO DRIVE MARKET
8.3 IMAGE
8.3.1 GROWING NEED TO PROVIDE INTUITIVE VISUAL TOOLS FOR CREATING IMAGE-BASED AI APPLICATIONS TO DRIVE MARKET
8.4 VIDEO
8.4.1 RISING NEED TO HANDLE SUBSTANTIAL VOLUMES OF VIDEO DATA WITH SPEED AND EFFECTIVENESS TO DRIVE MARKET
8.5 SPEECH & AUDIO
8.5.1 GROWING ABILITY TO EMPOWER DEVELOPERS TO INCORPORATE SPEECH-TO-TEXT FUNCTIONALITIES TO DRIVE MARKET
8.6 MULTIMODAL
8.6.1 GROWING NEED TO SEAMLESSLY INTEGRATE DIVERSE DATA TYPES TO DRIVE MARKET
9 NO-CODE AI PLATFORMS MARKET, BY APPLICATION
9.1 INTRODUCTION
9.1.1 APPLICATION: NO-CODE AI PLATFORMS MARKET DRIVERS
9.2 WORKFLOW AUTOMATION
9.2.1 GROWING NEED FOR EMPOWERING USERS TO STREAMLINE BUSINESS PROCESSES EFFECTIVELY TO DRIVE MARKET
9.3 TEXT TRANSLATION & GENERATION
9.3.1 GROWING NEED TO INTEGRATE AI-POWERED TEXT TRANSLATION AND GENERATION TO DRIVE MARKET
9.4 PLATFORM BUILDING
9.4.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET
9.5 CHATBOTS & VIRTUAL ASSISTANTS
9.5.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET
9.6 PREDICTIVE LEAD SCORING
9.6.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET
9.7 PREDICTIVE CUSTOMER CHURN
9.7.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET
9.8 VISUAL RECOGNITION & OBJECT DETECTION
9.8.1 GROWING NEED TO DEVELOP CUSTOM COMPUTER VISION MODELS EFFORTLESSLY TO DRIVE MARKET
9.9 VISUAL WORKFLOW BUILDING
9.9.1 GROWING NEED TO VISUALLY CONSTRUCT, AUTOMATE, AND OVERSEE BUSINESS WORKFLOWS TO DRIVE MARKET
9.10 OTHER APPLICATIONS
10 NO-CODE AI PLATFORMS MARKET, BY VERTICAL
10.1 INTRODUCTION
10.1.1 VERTICAL: NO-CODE AI PLATFORMS MARKET DRIVERS
10.2 BFSI
10.2.1 GROWING NEED FOR EMPOWERING BFSI SECTOR TO STAY AGILE AND INNOVATIVE TO DRIVE MARKET
10.2.2 FRAUD DETECTION & PREVENTION
10.2.3 CREDIT SCORING & UNDERWRITING
10.2.4 REGULATORY COMPLIANCE & MONITORING
10.2.5 CUSTOMER SERVICE AUTOMATION
10.2.6 OTHER BFSI SUBSEGMENT
10.3 RETAIL & E-COMMERCE
10.3.1 RISING DEMAND FOR EMPOWERING BUSINESSES TO DEVELOP CUSTOMIZED E-COMMERCE SOLUTIONS QUICKLY TO DRIVE MARKET
10.3.2 PERSONALIZED PRODUCT RECOMMENDATION
10.3.3 CUSTOMER BEHAVIOR ANALYTICS
10.3.4 VISUAL SEARCH INTEGRATION
10.3.5 CUSTOMER SUPPORT TICKET ROUTING
10.3.6 OTHER RETAIL & E-COMMERCE SUBSEGMENT
10.4 AUTOMOTIVE, TRANSPORTATION & LOGISTICS
10.4.1 RISING DEMAND OF EMPOWERING BUSINESSES TO ACHIEVE GREATER OPERATIONAL AGILITY AND COMPETITIVENESS TO DRIVE MARKET
10.4.2 ROUTE OPTIMIZATION
10.4.3 FLEET MANAGEMENT
10.4.4 DRIVER ASSISTANCE SYSTEMS
10.4.5 INTELLIGENT TRAFFIC MANAGEMENT
10.4.6 OTHER AUTOMOTIVE, TRANSPORTATION & LOGISTICS SUBSEGMENT
10.5 GOVERNMENT & DEFENSE
10.5.1 RISING DEMAND TO ENHANCE CITIZEN ENGAGEMENT AND DELIVER PUBLIC SERVICES TO DRIVE MARKET
10.5.2 INTELLIGENCE ANALYSIS & DATA PROCESSING
10.5.3 E-GOVERNANCE AND DIGITAL CITY SERVICES
10.5.4 SIMULATION & TRAINING
10.5.5 DISASTER RESPONSE & RECOVERY ASSISTANCE
10.5.6 OTHER GOVERNMENT & DEFENSE SUBSEGMENT
10.6 HEALTHCARE & LIFE SCIENCES
10.6.1 GROWING NEED TO PROVIDE MORE PRECISE DIAGNOSTICS AND PERSONALIZED TREATMENT PLANS TO DRIVE MARKET
10.6.2 MEDICAL IMAGING
10.6.3 DRUG DISCOVERY & DEVELOPMENT
10.6.4 CLINICAL TRIAL OPTIMIZATION
10.6.5 LIFESTYLE MANAGEMENT & MONITORING
10.6.6 OTHER HEALTHCARE & LIFE SCIENCES SUBSEGMENT
10.7 TELECOMMUNICATIONS
10.7.1 GROWING NEED TO STREAMLINE INTERNAL PROCESSES SUCH AS DATA MANAGEMENT TO DRIVE MARKET
10.7.2 NETWORK OPTIMIZATION
10.7.3 VIRTUAL NETWORK ASSISTANTS
10.7.4 INTELLIGENT CALL ROUTING
10.7.5 NETWORK SECURITY
10.7.6 OTHER TELECOMMUNICATIONS SUBSEGMENT
10.8 ENERGY & UTILITIES
10.8.1 GROWING NEED TO STREAMLINE INSPECTIONS BY ENABLING CREATION OF CUSTOM APPLICATIONS TO DRIVE MARKET
10.8.2 ENERGY DEMAND FORECASTING
10.8.3 ENERGY STORAGE OPTIMIZATION
10.8.4 REAL-TIME ENERGY MONITORING & CONTROL
10.8.5 ENERGY CONSUMPTION ANALYTICS
10.8.6 OTHER ENERGY & UTILITY SUBSEGMENT
10.9 MANUFACTURING
10.9.1 GROWING NEED TO IMPROVE PRODUCT QUALITY AND ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET
10.9.2 PRODUCTION PLANNING
10.9.3 QUALITY CONTROL
10.9.4 INTELLIGENT INVENTORY MANAGEMENT
10.9.5 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
10.9.6 OTHER MANUFACTURING SUBSEGMENT
10.10 AGRICULTURE
10.10.1 GROWING NEED FOR EMPOWERING FARMERS AND AGRIBUSINESSES TO LEVERAGE ADVANCED TECHNOLOGIES TO DRIVE MARKET
10.10.2 CROP HEALTH MONITORING
10.10.3 PRECISION FARMING
10.10.4 SOIL ANALYSIS & MANAGEMENT
10.10.5 WEATHER & CLIMATE MONITORING
10.10.6 OTHER AGRICULTURE SUBSEGMENT
10.11 IT/ITES
10.11.1 GROWING NEED TO ENHANCE AGILITY AND RESPONSIVENESS TO MARKET CHANGES TO DRIVE MARKET
10.11.2 AUTOMATED CODE GENERATION & OPTIMIZATION
10.11.3 IT TICKETING & SUPPORT AUTOMATION
10.11.4 AUTOMATED IT ASSET MANAGEMENT
10.11.5 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE
10.11.6 OTHER IT/ITES SUBSEGMENT
10.12 MEDIA & ENTERTAINMENT
10.12.1 GROWING NEED TO REVOLUTIONIZE CONTENT CREATION AND AUDIENCE ENGAGEMENT TO DRIVE MARKET
10.12.2 CONTENT CREATION & GENERATION
10.12.3 PERSONALIZED ADVERTISING
10.12.4 CONTENT RECOMMENDATION SYSTEMS
10.12.5 AUDIENCE INSIGHT & SEGMENTATION
10.12.6 OTHER MEDIA & ENTERTAINMENT SUBSEGMENT
10.13 OTHER VERTICALS
11 NO-CODE AI PLATFORMS MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MARKET DRIVERS
11.2.2 RECESSION IMPACT
11.2.3 US
11.2.3.1 Increased accessibility and adoption of AI-driven technologies across industries to drive market
11.2.4 CANADA
11.2.4.1 Growing need to harness transformative potential of AI to drive market
11.3 EUROPE
11.3.1 MARKET DRIVERS
11.3.2 RECESSION IMPACT
11.3.3 GERMANY
11.3.3.1 Growing adoption of no-code AI platforms to drive innovation across country
11.3.4 UK
11.3.4.1 Growing need for app development without need for technical skills to drive market
11.3.5 FRANCE
11.3.5.1 Rising need to enable non-technical users to leverage AI to drive market
11.3.6 ITALY
11.3.6.1 Rising need for democratizing AI development tailored to specific needs to drive market
11.3.7 SPAIN
11.3.7.1 Growing emphasis on efficiently creating and deploying AI models without coding to drive market
11.3.7.2 Rest of Europe
11.4 ASIA PACIFIC
11.4.1 MARKET DRIVERS
11.4.2 RECESSION IMPACT
11.4.3 CHINA
11.4.3.1 Growing AI landscape to foster innovation and adoption to drive market
11.4.4 JAPAN
11.4.4.1 Growing significance of accessible and intuitive AI solutions to meet business needs to drive market
11.4.5 INDIA
11.4.5.1 Growing need to integrate advanced AI functionalities to drive market
11.4.6 SOUTH KOREA
11.4.6.1 Growing need to foster more accessible and dynamic digital ecosystem to drive market
11.4.7 ANZ
11.4.7.1 Growing need to leverage data-driven insights and automate processes to drive market
11.4.8 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MARKET DRIVERS
11.5.2 RECESSION IMPACT
11.5.3 SAUDI ARABIA
11.5.3.1 Growing demand to embrace digital transformation for enhancing customer experiences to drive market
11.5.4 UAE
11.5.4.1 Growing adoption of cutting-edge AI technology to offer innovative solutions to drive market
11.5.5 TURKEY
11.5.5.1 Growing need to automate routine tasks to drive market
11.5.6 QATAR
11.5.6.1 Rising need to integrate AI technology without need for extensive coding expertise to drive market
11.5.7 SOUTH AFRICA
11.5.7.1 Growing investments and adoption of green technology to drive market
11.5.8 REST OF MIDDLE EAST & AFRICA
11.6 LATIN AMERICA
11.6.1 MARKET DRIVERS
11.6.2 RECESSION IMPACT
11.6.3 BRAZIL
11.6.3.1 Rising need to streamline AI integration without necessity of advanced coding skills to drive market
11.6.4 MEXICO
11.6.4.1 Growing need to develop and deploy AI-powered solutions swiftly and efficiently to drive market
11.6.5 ARGENTINA
11.6.5.1 Rising demand for AI solutions across various verticals to drive market
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS
12.4 MARKET SHARE ANALYSIS
12.4.1 MARKET RANKING ANALYSIS
12.5 BRAND COMPARATIVE ANALYSIS
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.6.1 STARS
12.6.2 EMERGING LEADERS
12.6.3 PERVASIVE PLAYERS
12.6.4 PARTICIPANTS
12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.6.5.1 Company footprint
12.6.5.2 Region footprint
12.6.5.3 Offering footprint
12.6.5.4 Application footprint
12.6.5.5 Vertical footprint
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.7.5.1 Detailed list of key startups/SMEs
12.7.5.2 Competitive benchmarking of key start-ups/SMEs
12.8 COMPETITIVE SCENARIO AND TRENDS
12.8.1 PRODUCT LAUNCHES
12.8.2 DEALS
12.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
13 COMPANY PROFILES
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 IBM
13.2.1.1 Business overview
13.2.1.2 Products/Solutions/Services offered
13.2.1.3 Recent developments
13.2.1.4 MnM view
13.2.1.4.1 Key strengths
13.2.1.4.2 Strategic choices
13.2.1.4.3 Weaknesses and competitive threats
13.2.2 MICROSOFT
13.2.2.1 Business overview
13.2.2.2 Products/Solutions/Services offered
13.2.2.3 Recent developments
13.2.2.4 MnM view
13.2.2.4.1 Key strengths
13.2.2.4.2 Strategic choices
13.2.2.4.3 Weaknesses and competitive threats
13.2.3 GOOGLE
13.2.3.1 Business overview
13.2.3.2 Products/Solutions/Services offered
13.2.3.3 Recent developments
13.2.3.4 MnM view
13.2.3.4.1 Key strengths
13.2.3.4.2 Strategic choices
13.2.3.4.3 Weaknesses and competitive threats
13.2.4 AWS
13.2.4.1 Business overview
13.2.4.2 Products/Solutions/Services offered
13.2.4.3 Recent developments
13.2.4.4 MnM view
13.2.4.4.1 Key strengths
13.2.4.4.2 Strategic choices
13.2.4.4.3 Weaknesses and competitive threats
13.2.5 SALESFORCE
13.2.5.1 Business overview
13.2.5.2 Products/Solutions/Services offered
13.2.5.3 Recent developments
13.2.5.4 MnM view
13.2.5.4.1 Key strengths
13.2.5.4.2 Strategic choices
13.2.5.4.3 Weaknesses and competitive threats
13.2.6 C3 AI
13.2.6.1 Business overview
13.2.6.2 Products/Solutions/Services offered
13.2.6.3 Recent developments
13.2.7 H2O.AI
13.2.7.1 Business overview
13.2.7.2 Products/Solutions/Services offered
13.2.7.3 Recent developments
13.2.8 QLIK
13.2.8.1 Business overview
13.2.8.2 Products/Solutions/Services offered
13.2.8.3 Recent developments
13.2.9 CLARIFAI
13.2.9.1 Business overview
13.2.9.2 Products/Solutions/Services offered
13.2.9.3 Recent developments
13.2.10 DATAROBOT
13.2.10.1 Business overview
13.2.10.2 Products/Solutions/Services offered
13.2.10.3 Recent developments
13.2.11 DATAIKU
13.2.11.1 Business overview
13.2.11.2 Products/Solutions/Services offered
13.2.11.3 Recent developments
13.2.12 ALTAIR
13.2.12.1 Business overview
13.2.12.2 Products/Solutions/Services offered
13.2.12.3 Recent developments
13.2.13 SYMPHONYAI
13.2.13.1 Business overview
13.2.13.2 Products/Solutions/Services offered
13.2.13.3 Recent developments
13.2.14 KORE.AI
13.3 STARTUPS/SMES
13.3.1 PECAN AI
13.3.1.1 Business overview
13.3.1.2 Products/Solutions/Services offered
13.3.1.3 Recent developments
13.3.2 LEVITY
13.3.3 CREATIO
13.3.4 AKKIO
13.3.5 AITO
13.3.6 OBVIOUSLY AI
13.3.7 KONVERSE AI
13.3.8 YELLOW.AI
13.3.9 MONKEYLEARN
13.3.10 ROBOFLOW
13.3.11 NANONETS
13.3.12 NOOGATA
13.3.13 RASA
13.3.14 BUILDER.AI
13.3.15 APPY PIE
13.3.16 ACCERN
13.3.17 RUNWAYML
13.3.18 BUBBLE
13.3.19 KATONIC AI
13.3.20 SWAY AI
14 ADJACENT AND RELATED MARKETS
14.1 INTRODUCTION
14.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2030
14.2.1 MARKET DEFINITION
14.2.2 MARKET OVERVIEW
14.2.2.1 Artificial intelligence market, by offering
14.2.2.2 Artificial intelligence market, by technology
14.2.2.3 Artificial intelligence market, by business function
14.2.2.4 Artificial intelligence market, by vertical
14.2.2.5 Artificial intelligence market, by region
14.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2030
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
14.3.2.1 Conversational AI market, by offering
14.3.2.2 Conversational AI market, by business function
14.3.2.3 Conversational AI market, by conversational agent type
14.3.2.4 Conversational AI market, by integration mode
14.3.2.5 Conversational AI market, by vertical
14.3.2.6 Conversational AI market, by region
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 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
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
1.7 RECESSION IMPACT
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key insights from industry experts
2.2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 RESEARCH LIMITATIONS
2.7 IMPACT OF RECESSION
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NO-CODE AI PLATFORMS MARKET
4.2 OVERVIEW OF RECESSION IN GLOBAL NO-CODE AI PLATFORMS MARKET
4.3 NO-CODE AI PLATFORMS MARKET, BY KEY TECHNOLOGY, 2024–2029
4.4 NO-CODE AI PLATFORMS MARKET, BY OFFERING AND KEY VERTICAL, 2024
4.5 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Growing need to reduce dependency on extensive coding expertise
5.2.1.2 Empowering rapid prototyping and collaboration with no-code AI platforms
5.2.2 RESTRAINTS
5.2.2.1 Limited customization options to impede market growth
5.2.2.2 Growing concern about data quality on no-code AI tool effectiveness
5.2.3 OPPORTUNITIES
5.2.3.1 Capitalizing on ethical AI unlocks new avenues for growth and innovation
5.2.3.2 Rising demand for streamlining operations drives business efficiency
5.2.4 CHALLENGES
5.2.4.1 Navigating vendor lock-in in no-code AI platforms market
5.2.4.2 Issues related with scalability to meet heightened user demands or accommodate complex functionalities
5.3 NO-CODE AI PLATFORMS MARKET: EVOLUTION
5.4 ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 SPH LEVERAGES GOOGLE APPSHEET TO ADAPT TO RAPIDLY CHANGING BUSINESS NEEDS
5.5.2 OBVIOUSLY AI HELPED CREDITT TO STREAMLINE ITS LOAN EVALUATION PROCESS
5.5.3 TOSOH CORPORATION SELECTED APPY PIE TO PROVIDE PRODUCT INFORMATION EASILY FOR ITS POTENTIAL CLIENTS
5.5.4 DUBAI REFRESHMENTS LEVERAGES BUILDER.AI TO STREAMLINE OPERATIONS AND ACCOMMODATE RAPID GROWTH
5.5.5 BUBBLE HELPS CITY OF ATLANTA TO MODERNIZE ITS PROCUREMENT OPERATIONS
5.6 SUPPLY CHAIN ANALYSIS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Generative AI
5.7.1.2 AutoML
5.7.1.3 Conversational AI
5.7.1.4 Cloud Computing
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Explainable AI
5.7.2.2 Blockchain
5.7.2.3 Edge Computing
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Big Data
5.7.3.2 AR & VR
5.7.3.3 Robotic Process Automation
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 THREAT OF NEW ENTRANTS
5.8.2 THREAT OF SUBSTITUTES
5.8.3 BARGAINING POWER OF SUPPLIERS
5.8.4 BARGAINING POWER OF BUYERS
5.8.5 INTENSITY OF COMPETITIVE RIVALRY
5.9 PRICING ANALYSIS
5.9.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
5.9.2 INDICATIVE PRICING ANALYSIS OF NO-CODE AI PLATFORMS, BY OFFERING
5.10 PATENT ANALYSIS
5.10.1 METHODOLOGY
5.10.2 PATENTS FILED, BY DOCUMENT TYPE
5.10.3 INNOVATION AND PATENT APPLICATIONS
5.10.3.1 Top 10 applicants in no-code AI platforms market
5.11 KEY CONFERENCES & EVENTS, 2024–2025
5.12 REGULATORY LANDSCAPE
5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.12.1.1 North America
5.12.1.1.1 SCR 17: Artificial Intelligence Bill (California)
5.12.1.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut )
5.12.1.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.12.1.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
5.12.1.2 Europe
5.12.1.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
5.12.1.2.2 General Data Protection Regulation (Europe)
5.12.1.3 Asia Pacific
5.12.1.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.12.1.3.2 The National AI Strategy (Singapore)
5.12.1.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.12.1.4 Middle East & Africa
5.12.1.4.1 The National Strategy for Artificial Intelligence (UAE)
5.12.1.4.2 The National Artificial Intelligence Strategy (Qatar)
5.12.1.4.3 The AI Ethics Principles and Guidelines (Dubai)
5.12.1.5 Latin America
5.12.1.5.1 The Santiago Declaration (Chile)
5.12.1.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.13.2 BUYING CRITERIA
5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.15 INVESTMENT AND FUNDING SCENARIO
5.16 COMPARISON OF TRADITIONAL AI PROCESS AND NO-CODE AI PROCESS
6 NO-CODE AI PLATFORMS MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: NO-CODE AI PLATFORMS MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 GROWING NEED TO SWIFTLY PROTOTYPE AND DEPLOY AI MODELS WITHOUT TECHNICAL EXPERTISE TO BOOST GROWTH
6.2.2 SOLUTIONS, BY TYPE
6.2.2.1 Reporting & visualization tools
6.2.2.2 AutoML platforms
6.2.2.3 Automation platforms
6.2.2.3.1 Flow builder tools
6.2.2.3.2 Conversational AI building tools
6.2.2.3.3 Business process automation tools
6.2.2.3.4 Other automation platforms
6.2.2.4 Other solution types
6.2.3 SOLUTIONS, BY DEPLOYMENT MODE
6.2.3.1 Cloud
6.2.3.2 On-premises
6.3 SERVICES
6.3.1 RISING NEED FOR EFFICIENT AI DEVELOPMENT & DEPLOYMENT TO DRIVE GROWTH
6.3.2 PROFESSIONAL SERVICES
6.3.2.1 Consulting services
6.3.2.2 Deployment & integration services
6.3.2.3 Support & maintenance services
6.3.3 MANAGED SERVICES
7 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
7.1.1 TECHNOLOGY: NO-CODE AI PLATFORMS MARKET DRIVERS
7.2 PREDICTIVE ANALYTICS
7.2.1 GROWING NEED TO LEVERAGE AI TECHNOLOGY FOR ANALYZING HISTORICAL DATA TO DRIVE MARKET
7.3 DEEP LEARNING
7.3.1 GROWING ABILITY TO PROCESS VAST AMOUNTS OF DATA AND EXTRACT INTRICATE PATTERNS TO DRIVE MARKET
7.4 NATURAL LANGUAGE PROCESSING
7.4.1 RISING NEED FOR ANALYZING TEXT FOR INSIGHTS AND CREATING CONVERSATIONAL CHATBOTS TO DRIVE MARKET
7.5 COMPUTER VISION
7.5.1 RISING NEED TO FACILITATE RAPID DEVELOPMENT AND DEPLOYMENT OF AI VISION APPLICATIONS TO DRIVE MARKET
8 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY
8.1 INTRODUCTION
8.1.1 DATA MODALITY: NO-CODE AI PLATFORMS MARKET DRIVERS
8.2 TEXT
8.2.1 GROWING NEED FOR TEXT-BASED MODELS TO DRIVE MARKET
8.3 IMAGE
8.3.1 GROWING NEED TO PROVIDE INTUITIVE VISUAL TOOLS FOR CREATING IMAGE-BASED AI APPLICATIONS TO DRIVE MARKET
8.4 VIDEO
8.4.1 RISING NEED TO HANDLE SUBSTANTIAL VOLUMES OF VIDEO DATA WITH SPEED AND EFFECTIVENESS TO DRIVE MARKET
8.5 SPEECH & AUDIO
8.5.1 GROWING ABILITY TO EMPOWER DEVELOPERS TO INCORPORATE SPEECH-TO-TEXT FUNCTIONALITIES TO DRIVE MARKET
8.6 MULTIMODAL
8.6.1 GROWING NEED TO SEAMLESSLY INTEGRATE DIVERSE DATA TYPES TO DRIVE MARKET
9 NO-CODE AI PLATFORMS MARKET, BY APPLICATION
9.1 INTRODUCTION
9.1.1 APPLICATION: NO-CODE AI PLATFORMS MARKET DRIVERS
9.2 WORKFLOW AUTOMATION
9.2.1 GROWING NEED FOR EMPOWERING USERS TO STREAMLINE BUSINESS PROCESSES EFFECTIVELY TO DRIVE MARKET
9.3 TEXT TRANSLATION & GENERATION
9.3.1 GROWING NEED TO INTEGRATE AI-POWERED TEXT TRANSLATION AND GENERATION TO DRIVE MARKET
9.4 PLATFORM BUILDING
9.4.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET
9.5 CHATBOTS & VIRTUAL ASSISTANTS
9.5.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET
9.6 PREDICTIVE LEAD SCORING
9.6.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET
9.7 PREDICTIVE CUSTOMER CHURN
9.7.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET
9.8 VISUAL RECOGNITION & OBJECT DETECTION
9.8.1 GROWING NEED TO DEVELOP CUSTOM COMPUTER VISION MODELS EFFORTLESSLY TO DRIVE MARKET
9.9 VISUAL WORKFLOW BUILDING
9.9.1 GROWING NEED TO VISUALLY CONSTRUCT, AUTOMATE, AND OVERSEE BUSINESS WORKFLOWS TO DRIVE MARKET
9.10 OTHER APPLICATIONS
10 NO-CODE AI PLATFORMS MARKET, BY VERTICAL
10.1 INTRODUCTION
10.1.1 VERTICAL: NO-CODE AI PLATFORMS MARKET DRIVERS
10.2 BFSI
10.2.1 GROWING NEED FOR EMPOWERING BFSI SECTOR TO STAY AGILE AND INNOVATIVE TO DRIVE MARKET
10.2.2 FRAUD DETECTION & PREVENTION
10.2.3 CREDIT SCORING & UNDERWRITING
10.2.4 REGULATORY COMPLIANCE & MONITORING
10.2.5 CUSTOMER SERVICE AUTOMATION
10.2.6 OTHER BFSI SUBSEGMENT
10.3 RETAIL & E-COMMERCE
10.3.1 RISING DEMAND FOR EMPOWERING BUSINESSES TO DEVELOP CUSTOMIZED E-COMMERCE SOLUTIONS QUICKLY TO DRIVE MARKET
10.3.2 PERSONALIZED PRODUCT RECOMMENDATION
10.3.3 CUSTOMER BEHAVIOR ANALYTICS
10.3.4 VISUAL SEARCH INTEGRATION
10.3.5 CUSTOMER SUPPORT TICKET ROUTING
10.3.6 OTHER RETAIL & E-COMMERCE SUBSEGMENT
10.4 AUTOMOTIVE, TRANSPORTATION & LOGISTICS
10.4.1 RISING DEMAND OF EMPOWERING BUSINESSES TO ACHIEVE GREATER OPERATIONAL AGILITY AND COMPETITIVENESS TO DRIVE MARKET
10.4.2 ROUTE OPTIMIZATION
10.4.3 FLEET MANAGEMENT
10.4.4 DRIVER ASSISTANCE SYSTEMS
10.4.5 INTELLIGENT TRAFFIC MANAGEMENT
10.4.6 OTHER AUTOMOTIVE, TRANSPORTATION & LOGISTICS SUBSEGMENT
10.5 GOVERNMENT & DEFENSE
10.5.1 RISING DEMAND TO ENHANCE CITIZEN ENGAGEMENT AND DELIVER PUBLIC SERVICES TO DRIVE MARKET
10.5.2 INTELLIGENCE ANALYSIS & DATA PROCESSING
10.5.3 E-GOVERNANCE AND DIGITAL CITY SERVICES
10.5.4 SIMULATION & TRAINING
10.5.5 DISASTER RESPONSE & RECOVERY ASSISTANCE
10.5.6 OTHER GOVERNMENT & DEFENSE SUBSEGMENT
10.6 HEALTHCARE & LIFE SCIENCES
10.6.1 GROWING NEED TO PROVIDE MORE PRECISE DIAGNOSTICS AND PERSONALIZED TREATMENT PLANS TO DRIVE MARKET
10.6.2 MEDICAL IMAGING
10.6.3 DRUG DISCOVERY & DEVELOPMENT
10.6.4 CLINICAL TRIAL OPTIMIZATION
10.6.5 LIFESTYLE MANAGEMENT & MONITORING
10.6.6 OTHER HEALTHCARE & LIFE SCIENCES SUBSEGMENT
10.7 TELECOMMUNICATIONS
10.7.1 GROWING NEED TO STREAMLINE INTERNAL PROCESSES SUCH AS DATA MANAGEMENT TO DRIVE MARKET
10.7.2 NETWORK OPTIMIZATION
10.7.3 VIRTUAL NETWORK ASSISTANTS
10.7.4 INTELLIGENT CALL ROUTING
10.7.5 NETWORK SECURITY
10.7.6 OTHER TELECOMMUNICATIONS SUBSEGMENT
10.8 ENERGY & UTILITIES
10.8.1 GROWING NEED TO STREAMLINE INSPECTIONS BY ENABLING CREATION OF CUSTOM APPLICATIONS TO DRIVE MARKET
10.8.2 ENERGY DEMAND FORECASTING
10.8.3 ENERGY STORAGE OPTIMIZATION
10.8.4 REAL-TIME ENERGY MONITORING & CONTROL
10.8.5 ENERGY CONSUMPTION ANALYTICS
10.8.6 OTHER ENERGY & UTILITY SUBSEGMENT
10.9 MANUFACTURING
10.9.1 GROWING NEED TO IMPROVE PRODUCT QUALITY AND ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET
10.9.2 PRODUCTION PLANNING
10.9.3 QUALITY CONTROL
10.9.4 INTELLIGENT INVENTORY MANAGEMENT
10.9.5 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
10.9.6 OTHER MANUFACTURING SUBSEGMENT
10.10 AGRICULTURE
10.10.1 GROWING NEED FOR EMPOWERING FARMERS AND AGRIBUSINESSES TO LEVERAGE ADVANCED TECHNOLOGIES TO DRIVE MARKET
10.10.2 CROP HEALTH MONITORING
10.10.3 PRECISION FARMING
10.10.4 SOIL ANALYSIS & MANAGEMENT
10.10.5 WEATHER & CLIMATE MONITORING
10.10.6 OTHER AGRICULTURE SUBSEGMENT
10.11 IT/ITES
10.11.1 GROWING NEED TO ENHANCE AGILITY AND RESPONSIVENESS TO MARKET CHANGES TO DRIVE MARKET
10.11.2 AUTOMATED CODE GENERATION & OPTIMIZATION
10.11.3 IT TICKETING & SUPPORT AUTOMATION
10.11.4 AUTOMATED IT ASSET MANAGEMENT
10.11.5 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE
10.11.6 OTHER IT/ITES SUBSEGMENT
10.12 MEDIA & ENTERTAINMENT
10.12.1 GROWING NEED TO REVOLUTIONIZE CONTENT CREATION AND AUDIENCE ENGAGEMENT TO DRIVE MARKET
10.12.2 CONTENT CREATION & GENERATION
10.12.3 PERSONALIZED ADVERTISING
10.12.4 CONTENT RECOMMENDATION SYSTEMS
10.12.5 AUDIENCE INSIGHT & SEGMENTATION
10.12.6 OTHER MEDIA & ENTERTAINMENT SUBSEGMENT
10.13 OTHER VERTICALS
11 NO-CODE AI PLATFORMS MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 MARKET DRIVERS
11.2.2 RECESSION IMPACT
11.2.3 US
11.2.3.1 Increased accessibility and adoption of AI-driven technologies across industries to drive market
11.2.4 CANADA
11.2.4.1 Growing need to harness transformative potential of AI to drive market
11.3 EUROPE
11.3.1 MARKET DRIVERS
11.3.2 RECESSION IMPACT
11.3.3 GERMANY
11.3.3.1 Growing adoption of no-code AI platforms to drive innovation across country
11.3.4 UK
11.3.4.1 Growing need for app development without need for technical skills to drive market
11.3.5 FRANCE
11.3.5.1 Rising need to enable non-technical users to leverage AI to drive market
11.3.6 ITALY
11.3.6.1 Rising need for democratizing AI development tailored to specific needs to drive market
11.3.7 SPAIN
11.3.7.1 Growing emphasis on efficiently creating and deploying AI models without coding to drive market
11.3.7.2 Rest of Europe
11.4 ASIA PACIFIC
11.4.1 MARKET DRIVERS
11.4.2 RECESSION IMPACT
11.4.3 CHINA
11.4.3.1 Growing AI landscape to foster innovation and adoption to drive market
11.4.4 JAPAN
11.4.4.1 Growing significance of accessible and intuitive AI solutions to meet business needs to drive market
11.4.5 INDIA
11.4.5.1 Growing need to integrate advanced AI functionalities to drive market
11.4.6 SOUTH KOREA
11.4.6.1 Growing need to foster more accessible and dynamic digital ecosystem to drive market
11.4.7 ANZ
11.4.7.1 Growing need to leverage data-driven insights and automate processes to drive market
11.4.8 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MARKET DRIVERS
11.5.2 RECESSION IMPACT
11.5.3 SAUDI ARABIA
11.5.3.1 Growing demand to embrace digital transformation for enhancing customer experiences to drive market
11.5.4 UAE
11.5.4.1 Growing adoption of cutting-edge AI technology to offer innovative solutions to drive market
11.5.5 TURKEY
11.5.5.1 Growing need to automate routine tasks to drive market
11.5.6 QATAR
11.5.6.1 Rising need to integrate AI technology without need for extensive coding expertise to drive market
11.5.7 SOUTH AFRICA
11.5.7.1 Growing investments and adoption of green technology to drive market
11.5.8 REST OF MIDDLE EAST & AFRICA
11.6 LATIN AMERICA
11.6.1 MARKET DRIVERS
11.6.2 RECESSION IMPACT
11.6.3 BRAZIL
11.6.3.1 Rising need to streamline AI integration without necessity of advanced coding skills to drive market
11.6.4 MEXICO
11.6.4.1 Growing need to develop and deploy AI-powered solutions swiftly and efficiently to drive market
11.6.5 ARGENTINA
11.6.5.1 Rising demand for AI solutions across various verticals to drive market
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
12.3 REVENUE ANALYSIS
12.4 MARKET SHARE ANALYSIS
12.4.1 MARKET RANKING ANALYSIS
12.5 BRAND COMPARATIVE ANALYSIS
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
12.6.1 STARS
12.6.2 EMERGING LEADERS
12.6.3 PERVASIVE PLAYERS
12.6.4 PARTICIPANTS
12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
12.6.5.1 Company footprint
12.6.5.2 Region footprint
12.6.5.3 Offering footprint
12.6.5.4 Application footprint
12.6.5.5 Vertical footprint
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
12.7.1 PROGRESSIVE COMPANIES
12.7.2 RESPONSIVE COMPANIES
12.7.3 DYNAMIC COMPANIES
12.7.4 STARTING BLOCKS
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
12.7.5.1 Detailed list of key startups/SMEs
12.7.5.2 Competitive benchmarking of key start-ups/SMEs
12.8 COMPETITIVE SCENARIO AND TRENDS
12.8.1 PRODUCT LAUNCHES
12.8.2 DEALS
12.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
13 COMPANY PROFILES
13.1 INTRODUCTION
13.2 KEY PLAYERS
13.2.1 IBM
13.2.1.1 Business overview
13.2.1.2 Products/Solutions/Services offered
13.2.1.3 Recent developments
13.2.1.4 MnM view
13.2.1.4.1 Key strengths
13.2.1.4.2 Strategic choices
13.2.1.4.3 Weaknesses and competitive threats
13.2.2 MICROSOFT
13.2.2.1 Business overview
13.2.2.2 Products/Solutions/Services offered
13.2.2.3 Recent developments
13.2.2.4 MnM view
13.2.2.4.1 Key strengths
13.2.2.4.2 Strategic choices
13.2.2.4.3 Weaknesses and competitive threats
13.2.3 GOOGLE
13.2.3.1 Business overview
13.2.3.2 Products/Solutions/Services offered
13.2.3.3 Recent developments
13.2.3.4 MnM view
13.2.3.4.1 Key strengths
13.2.3.4.2 Strategic choices
13.2.3.4.3 Weaknesses and competitive threats
13.2.4 AWS
13.2.4.1 Business overview
13.2.4.2 Products/Solutions/Services offered
13.2.4.3 Recent developments
13.2.4.4 MnM view
13.2.4.4.1 Key strengths
13.2.4.4.2 Strategic choices
13.2.4.4.3 Weaknesses and competitive threats
13.2.5 SALESFORCE
13.2.5.1 Business overview
13.2.5.2 Products/Solutions/Services offered
13.2.5.3 Recent developments
13.2.5.4 MnM view
13.2.5.4.1 Key strengths
13.2.5.4.2 Strategic choices
13.2.5.4.3 Weaknesses and competitive threats
13.2.6 C3 AI
13.2.6.1 Business overview
13.2.6.2 Products/Solutions/Services offered
13.2.6.3 Recent developments
13.2.7 H2O.AI
13.2.7.1 Business overview
13.2.7.2 Products/Solutions/Services offered
13.2.7.3 Recent developments
13.2.8 QLIK
13.2.8.1 Business overview
13.2.8.2 Products/Solutions/Services offered
13.2.8.3 Recent developments
13.2.9 CLARIFAI
13.2.9.1 Business overview
13.2.9.2 Products/Solutions/Services offered
13.2.9.3 Recent developments
13.2.10 DATAROBOT
13.2.10.1 Business overview
13.2.10.2 Products/Solutions/Services offered
13.2.10.3 Recent developments
13.2.11 DATAIKU
13.2.11.1 Business overview
13.2.11.2 Products/Solutions/Services offered
13.2.11.3 Recent developments
13.2.12 ALTAIR
13.2.12.1 Business overview
13.2.12.2 Products/Solutions/Services offered
13.2.12.3 Recent developments
13.2.13 SYMPHONYAI
13.2.13.1 Business overview
13.2.13.2 Products/Solutions/Services offered
13.2.13.3 Recent developments
13.2.14 KORE.AI
13.3 STARTUPS/SMES
13.3.1 PECAN AI
13.3.1.1 Business overview
13.3.1.2 Products/Solutions/Services offered
13.3.1.3 Recent developments
13.3.2 LEVITY
13.3.3 CREATIO
13.3.4 AKKIO
13.3.5 AITO
13.3.6 OBVIOUSLY AI
13.3.7 KONVERSE AI
13.3.8 YELLOW.AI
13.3.9 MONKEYLEARN
13.3.10 ROBOFLOW
13.3.11 NANONETS
13.3.12 NOOGATA
13.3.13 RASA
13.3.14 BUILDER.AI
13.3.15 APPY PIE
13.3.16 ACCERN
13.3.17 RUNWAYML
13.3.18 BUBBLE
13.3.19 KATONIC AI
13.3.20 SWAY AI
14 ADJACENT AND RELATED MARKETS
14.1 INTRODUCTION
14.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2030
14.2.1 MARKET DEFINITION
14.2.2 MARKET OVERVIEW
14.2.2.1 Artificial intelligence market, by offering
14.2.2.2 Artificial intelligence market, by technology
14.2.2.3 Artificial intelligence market, by business function
14.2.2.4 Artificial intelligence market, by vertical
14.2.2.5 Artificial intelligence market, by region
14.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2030
14.3.1 MARKET DEFINITION
14.3.2 MARKET OVERVIEW
14.3.2.1 Conversational AI market, by offering
14.3.2.2 Conversational AI market, by business function
14.3.2.3 Conversational AI market, by conversational agent type
14.3.2.4 Conversational AI market, by integration mode
14.3.2.5 Conversational AI market, by vertical
14.3.2.6 Conversational AI market, by region
15 APPENDIX
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
