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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

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 artifici... もっと見る

 

 

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Summary

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.
 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%
Major vendors offering no-code AI platforms solutions and services across the globe are IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US) .

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.

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Table of Contents

1 INTRODUCTION 33
1.1 STUDY OBJECTIVES 33
1.2 MARKET DEFINITION 33
1.2.1 INCLUSIONS AND EXCLUSIONS 33
1.3 MARKET SCOPE 35
1.3.1 MARKET SEGMENTATION 35
1.3.2 REGIONS COVERED 36
1.4 YEARS CONSIDERED 36
1.5 CURRENCY CONSIDERED 37
1.6 STAKEHOLDERS 37
1.7 RECESSION IMPACT 37
2 RESEARCH METHODOLOGY 38
2.1 RESEARCH DATA 38
2.1.1 SECONDARY DATA 39
2.1.2 PRIMARY DATA 39
2.1.2.1 Breakup of primary profiles 40
2.1.2.2 Key insights from industry experts 40
2.2 DATA TRIANGULATION 41
2.3 MARKET SIZE ESTIMATION 42
2.3.1 TOP-DOWN APPROACH 42
2.3.2 BOTTOM-UP APPROACH 43
2.4 MARKET FORECAST 46
2.5 RESEARCH ASSUMPTIONS 47
2.6 RESEARCH LIMITATIONS 49
2.7 IMPACT OF RECESSION 49
3 EXECUTIVE SUMMARY 50
4 PREMIUM INSIGHTS 56
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NO-CODE AI PLATFORMS MARKET 56
4.2 OVERVIEW OF RECESSION IN GLOBAL NO-CODE AI PLATFORMS MARKET 57
4.3 NO-CODE AI PLATFORMS MARKET, BY KEY TECHNOLOGY, 2024–2029 57
4.4 NO-CODE AI PLATFORMS MARKET, BY OFFERING AND KEY VERTICAL, 2024 58
4.5 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024 58

5 MARKET OVERVIEW AND INDUSTRY TRENDS 59
5.1 INTRODUCTION 59
5.2 MARKET DYNAMICS 59
5.2.1 DRIVERS 60
5.2.1.1 Growing need to reduce dependency on extensive coding expertise 60
5.2.1.2 Empowering rapid prototyping and collaboration with no-code AI platforms 60
5.2.2 RESTRAINTS 60
5.2.2.1 Limited customization options to impede market growth 60
5.2.2.2 Growing concern about data quality on no-code AI tool effectiveness 61
5.2.3 OPPORTUNITIES 61
5.2.3.1 Capitalizing on ethical AI unlocks new avenues for growth and innovation 61
5.2.3.2 Rising demand for streamlining operations drives business efficiency 61
5.2.4 CHALLENGES 62
5.2.4.1 Navigating vendor lock-in in no-code AI platforms market 62
5.2.4.2 Issues related with scalability to meet heightened user demands or accommodate complex functionalities 62
5.3 NO-CODE AI PLATFORMS MARKET: EVOLUTION 62
5.4 ECOSYSTEM ANALYSIS 64
5.5 CASE STUDY ANALYSIS 67
5.5.1 SPH LEVERAGES GOOGLE APPSHEET TO ADAPT TO RAPIDLY CHANGING BUSINESS NEEDS 67
5.5.2 OBVIOUSLY AI HELPED CREDITT TO STREAMLINE ITS LOAN EVALUATION PROCESS 68
5.5.3 TOSOH CORPORATION SELECTED APPY PIE TO PROVIDE PRODUCT INFORMATION EASILY FOR ITS POTENTIAL CLIENTS 68
5.5.4 DUBAI REFRESHMENTS LEVERAGES BUILDER.AI TO STREAMLINE OPERATIONS AND ACCOMMODATE RAPID GROWTH 69
5.5.5 BUBBLE HELPS CITY OF ATLANTA TO MODERNIZE ITS PROCUREMENT OPERATIONS 69
5.6 SUPPLY CHAIN ANALYSIS 70
5.7 TECHNOLOGY ANALYSIS 71
5.7.1 KEY TECHNOLOGIES 71
5.7.1.1 Generative AI 71
5.7.1.2 AutoML 71
5.7.1.3 Conversational AI 71
5.7.1.4 Cloud Computing 72
5.7.2 COMPLEMENTARY TECHNOLOGIES 72
5.7.2.1 Explainable AI 72
5.7.2.2 Blockchain 72
5.7.2.3 Edge Computing 72

5.7.3 ADJACENT TECHNOLOGIES 73
5.7.3.1 Big Data 73
5.7.3.2 AR & VR 73
5.7.3.3 Robotic Process Automation 73
5.8 PORTER’S FIVE FORCES ANALYSIS 73
5.8.1 THREAT OF NEW ENTRANTS 75
5.8.2 THREAT OF SUBSTITUTES 75
5.8.3 BARGAINING POWER OF SUPPLIERS 75
5.8.4 BARGAINING POWER OF BUYERS 75
5.8.5 INTENSITY OF COMPETITIVE RIVALRY 76
5.9 PRICING ANALYSIS 76
5.9.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION 77
5.9.2 INDICATIVE PRICING ANALYSIS OF NO-CODE AI PLATFORMS, BY OFFERING 78
5.10 PATENT ANALYSIS 78
5.10.1 METHODOLOGY 78
5.10.2 PATENTS FILED, BY DOCUMENT TYPE 79
5.10.3 INNOVATION AND PATENT APPLICATIONS 79
5.10.3.1 Top 10 applicants in no-code AI platforms market 79
5.11 KEY CONFERENCES & EVENTS, 2024–2025 83
5.12 REGULATORY LANDSCAPE 85
5.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
5.12.1.1 North America 89
5.12.1.1.1 SCR 17: Artificial Intelligence Bill (California) 89
5.12.1.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut ) 90
5.12.1.1.3 National Artificial Intelligence Initiative Act (NAIIA) 90
5.12.1.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada 90
5.12.1.2 Europe 91
5.12.1.2.1 The European Union (EU) - Artificial Intelligence Act (AIA) 91
5.12.1.2.2 General Data Protection Regulation (Europe) 91
5.12.1.3 Asia Pacific 92
5.12.1.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China) 92
5.12.1.3.2 The National AI Strategy (Singapore) 93
5.12.1.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan) 93
5.12.1.4 Middle East & Africa 94
5.12.1.4.1 The National Strategy for Artificial Intelligence (UAE) 94
5.12.1.4.2 The National Artificial Intelligence Strategy (Qatar) 94
5.12.1.4.3 The AI Ethics Principles and Guidelines (Dubai) 94

5.12.1.5 Latin America 95
5.12.1.5.1 The Santiago Declaration (Chile) 95
5.12.1.5.2 The Brazilian Artificial Intelligence Strategy (EBIA) 95
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA 96
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS 96
5.13.2 BUYING CRITERIA 97
5.14 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 97
5.15 INVESTMENT AND FUNDING SCENARIO 98
5.16 COMPARISON OF TRADITIONAL AI PROCESS AND NO-CODE AI PROCESS 99
6 NO-CODE AI PLATFORMS MARKET, BY OFFERING 100
6.1 INTRODUCTION 101
6.1.1 OFFERING: NO-CODE AI PLATFORMS MARKET DRIVERS 101
6.2 SOLUTIONS 102
6.2.1 GROWING NEED TO SWIFTLY PROTOTYPE AND DEPLOY AI MODELS WITHOUT TECHNICAL EXPERTISE TO BOOST GROWTH 102
6.2.2 SOLUTIONS, BY TYPE 103
6.2.2.1 Reporting & visualization tools 104
6.2.2.2 AutoML platforms 105
6.2.2.3 Automation platforms 106
6.2.2.3.1 Flow builder tools 107
6.2.2.3.2 Conversational AI building tools 107
6.2.2.3.3 Business process automation tools 107
6.2.2.3.4 Other automation platforms 108
6.2.2.4 Other solution types 108
6.2.3 SOLUTIONS, BY DEPLOYMENT MODE 109
6.2.3.1 Cloud 110
6.2.3.2 On-premises 111
6.3 SERVICES 112
6.3.1 RISING NEED FOR EFFICIENT AI DEVELOPMENT & DEPLOYMENT TO DRIVE GROWTH 112
6.3.2 PROFESSIONAL SERVICES 114
6.3.2.1 Consulting services 116
6.3.2.2 Deployment & integration services 117
6.3.2.3 Support & maintenance services 118
6.3.3 MANAGED SERVICES 119
7 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY 120
7.1 INTRODUCTION 121
7.1.1 TECHNOLOGY: NO-CODE AI PLATFORMS MARKET DRIVERS 121
7.2 PREDICTIVE ANALYTICS 122
7.2.1 GROWING NEED TO LEVERAGE AI TECHNOLOGY FOR ANALYZING HISTORICAL DATA TO DRIVE MARKET 122
7.3 DEEP LEARNING 123
7.3.1 GROWING ABILITY TO PROCESS VAST AMOUNTS OF DATA AND EXTRACT INTRICATE PATTERNS TO DRIVE MARKET 123
7.4 NATURAL LANGUAGE PROCESSING 124
7.4.1 RISING NEED FOR ANALYZING TEXT FOR INSIGHTS AND CREATING CONVERSATIONAL CHATBOTS TO DRIVE MARKET 124
7.5 COMPUTER VISION 125
7.5.1 RISING NEED TO FACILITATE RAPID DEVELOPMENT AND DEPLOYMENT OF AI VISION APPLICATIONS TO DRIVE MARKET 125
8 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY 127
8.1 INTRODUCTION 128
8.1.1 DATA MODALITY: NO-CODE AI PLATFORMS MARKET DRIVERS 128
8.2 TEXT 129
8.2.1 GROWING NEED FOR TEXT-BASED MODELS TO DRIVE MARKET 129
8.3 IMAGE 130
8.3.1 GROWING NEED TO PROVIDE INTUITIVE VISUAL TOOLS FOR CREATING IMAGE-BASED AI APPLICATIONS TO DRIVE MARKET 130
8.4 VIDEO 131
8.4.1 RISING NEED TO HANDLE SUBSTANTIAL VOLUMES OF VIDEO DATA WITH SPEED AND EFFECTIVENESS TO DRIVE MARKET 131
8.5 SPEECH & AUDIO 132
8.5.1 GROWING ABILITY TO EMPOWER DEVELOPERS TO INCORPORATE SPEECH-TO-TEXT FUNCTIONALITIES TO DRIVE MARKET 132
8.6 MULTIMODAL 133
8.6.1 GROWING NEED TO SEAMLESSLY INTEGRATE DIVERSE DATA TYPES TO DRIVE MARKET 133
9 NO-CODE AI PLATFORMS MARKET, BY APPLICATION 135
9.1 INTRODUCTION 136
9.1.1 APPLICATION: NO-CODE AI PLATFORMS MARKET DRIVERS 136
9.2 WORKFLOW AUTOMATION 138
9.2.1 GROWING NEED FOR EMPOWERING USERS TO STREAMLINE BUSINESS PROCESSES EFFECTIVELY TO DRIVE MARKET 138
9.3 TEXT TRANSLATION & GENERATION 139
9.3.1 GROWING NEED TO INTEGRATE AI-POWERED TEXT TRANSLATION AND GENERATION TO DRIVE MARKET 139
9.4 PLATFORM BUILDING 140
9.4.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET 140
9.5 CHATBOTS & VIRTUAL ASSISTANTS 141
9.5.1 GROWING DEMAND FOR INTEGRATING PRE-TRAINED MACHINE LEARNING MODELS TO DRIVE MARKET 141
9.6 PREDICTIVE LEAD SCORING 142
9.6.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET 142
9.7 PREDICTIVE CUSTOMER CHURN 143
9.7.1 GROWING DEMAND TO IDENTIFY AND PRIORITIZE HIGH-QUALITY LEADS TO DRIVE MARKET 143
9.8 VISUAL RECOGNITION & OBJECT DETECTION 144
9.8.1 GROWING NEED TO DEVELOP CUSTOM COMPUTER VISION MODELS EFFORTLESSLY TO DRIVE MARKET 144
9.9 VISUAL WORKFLOW BUILDING 145
9.9.1 GROWING NEED TO VISUALLY CONSTRUCT, AUTOMATE, AND OVERSEE BUSINESS WORKFLOWS TO DRIVE MARKET 145
9.10 OTHER APPLICATIONS 146
10 NO-CODE AI PLATFORMS MARKET, BY VERTICAL 147
10.1 INTRODUCTION 148
10.1.1 VERTICAL: NO-CODE AI PLATFORMS MARKET DRIVERS 148
10.2 BFSI 151
10.2.1 GROWING NEED FOR EMPOWERING BFSI SECTOR TO STAY AGILE AND INNOVATIVE TO DRIVE MARKET 151
10.2.2 FRAUD DETECTION & PREVENTION 152
10.2.3 CREDIT SCORING & UNDERWRITING 152
10.2.4 REGULATORY COMPLIANCE & MONITORING 152
10.2.5 CUSTOMER SERVICE AUTOMATION 152
10.2.6 OTHER BFSI SUBSEGMENT 153
10.3 RETAIL & E-COMMERCE 153
10.3.1 RISING DEMAND FOR EMPOWERING BUSINESSES TO DEVELOP CUSTOMIZED E-COMMERCE SOLUTIONS QUICKLY TO DRIVE MARKET 153
10.3.2 PERSONALIZED PRODUCT RECOMMENDATION 154
10.3.3 CUSTOMER BEHAVIOR ANALYTICS 155
10.3.4 VISUAL SEARCH INTEGRATION 155
10.3.5 CUSTOMER SUPPORT TICKET ROUTING 155
10.3.6 OTHER RETAIL & E-COMMERCE SUBSEGMENT 156
10.4 AUTOMOTIVE, TRANSPORTATION & LOGISTICS 156
10.4.1 RISING DEMAND OF EMPOWERING BUSINESSES TO ACHIEVE GREATER OPERATIONAL AGILITY AND COMPETITIVENESS TO DRIVE MARKET 156
10.4.2 ROUTE OPTIMIZATION 157
10.4.3 FLEET MANAGEMENT 158
10.4.4 DRIVER ASSISTANCE SYSTEMS 158
10.4.5 INTELLIGENT TRAFFIC MANAGEMENT 158
10.4.6 OTHER AUTOMOTIVE, TRANSPORTATION & LOGISTICS SUBSEGMENT 159
10.5 GOVERNMENT & DEFENSE 159
10.5.1 RISING DEMAND TO ENHANCE CITIZEN ENGAGEMENT AND DELIVER PUBLIC SERVICES TO DRIVE MARKET 159
10.5.2 INTELLIGENCE ANALYSIS & DATA PROCESSING 160
10.5.3 E-GOVERNANCE AND DIGITAL CITY SERVICES 161
10.5.4 SIMULATION & TRAINING 161
10.5.5 DISASTER RESPONSE & RECOVERY ASSISTANCE 161
10.5.6 OTHER GOVERNMENT & DEFENSE SUBSEGMENT 162
10.6 HEALTHCARE & LIFE SCIENCES 162
10.6.1 GROWING NEED TO PROVIDE MORE PRECISE DIAGNOSTICS AND PERSONALIZED TREATMENT PLANS TO DRIVE MARKET 162
10.6.2 MEDICAL IMAGING 163
10.6.3 DRUG DISCOVERY & DEVELOPMENT 163
10.6.4 CLINICAL TRIAL OPTIMIZATION 164
10.6.5 LIFESTYLE MANAGEMENT & MONITORING 164
10.6.6 OTHER HEALTHCARE & LIFE SCIENCES SUBSEGMENT 164
10.7 TELECOMMUNICATIONS 165
10.7.1 GROWING NEED TO STREAMLINE INTERNAL PROCESSES SUCH AS DATA MANAGEMENT TO DRIVE MARKET 165
10.7.2 NETWORK OPTIMIZATION 166
10.7.3 VIRTUAL NETWORK ASSISTANTS 166
10.7.4 INTELLIGENT CALL ROUTING 166
10.7.5 NETWORK SECURITY 167
10.7.6 OTHER TELECOMMUNICATIONS SUBSEGMENT 167
10.8 ENERGY & UTILITIES 167
10.8.1 GROWING NEED TO STREAMLINE INSPECTIONS BY ENABLING CREATION OF CUSTOM APPLICATIONS TO DRIVE MARKET 167
10.8.2 ENERGY DEMAND FORECASTING 168
10.8.3 ENERGY STORAGE OPTIMIZATION 169
10.8.4 REAL-TIME ENERGY MONITORING & CONTROL 169
10.8.5 ENERGY CONSUMPTION ANALYTICS 169
10.8.6 OTHER ENERGY & UTILITY SUBSEGMENT 169
10.9 MANUFACTURING 170
10.9.1 GROWING NEED TO IMPROVE PRODUCT QUALITY AND ENHANCE OPERATIONAL EFFICIENCY TO DRIVE MARKET 170
10.9.2 PRODUCTION PLANNING 171
10.9.3 QUALITY CONTROL 171
10.9.4 INTELLIGENT INVENTORY MANAGEMENT 171
10.9.5 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION 172
10.9.6 OTHER MANUFACTURING SUBSEGMENT 172
10.10 AGRICULTURE 172
10.10.1 GROWING NEED FOR EMPOWERING FARMERS AND AGRIBUSINESSES TO LEVERAGE ADVANCED TECHNOLOGIES TO DRIVE MARKET 172
10.10.2 CROP HEALTH MONITORING 173
10.10.3 PRECISION FARMING 174
10.10.4 SOIL ANALYSIS & MANAGEMENT 174
10.10.5 WEATHER & CLIMATE MONITORING 174
10.10.6 OTHER AGRICULTURE SUBSEGMENT 175

10.11 IT/ITES 175
10.11.1 GROWING NEED TO ENHANCE AGILITY AND RESPONSIVENESS TO MARKET CHANGES TO DRIVE MARKET 175
10.11.2 AUTOMATED CODE GENERATION & OPTIMIZATION 176
10.11.3 IT TICKETING & SUPPORT AUTOMATION 176
10.11.4 AUTOMATED IT ASSET MANAGEMENT 176
10.11.5 AUTOMATED SOFTWARE TESTING & QUALITY ASSURANCE 177
10.11.6 OTHER IT/ITES SUBSEGMENT 177
10.12 MEDIA & ENTERTAINMENT 177
10.12.1 GROWING NEED TO REVOLUTIONIZE CONTENT CREATION AND AUDIENCE ENGAGEMENT TO DRIVE MARKET 177
10.12.2 CONTENT CREATION & GENERATION 178
10.12.3 PERSONALIZED ADVERTISING 179
10.12.4 CONTENT RECOMMENDATION SYSTEMS 179
10.12.5 AUDIENCE INSIGHT & SEGMENTATION 179
10.12.6 OTHER MEDIA & ENTERTAINMENT SUBSEGMENT 180
10.13 OTHER VERTICALS 180
11 NO-CODE AI PLATFORMS MARKET, BY REGION 182
11.1 INTRODUCTION 183
11.2 NORTH AMERICA 184
11.2.1 MARKET DRIVERS 185
11.2.2 RECESSION IMPACT 185
11.2.3 US 193
11.2.3.1 Increased accessibility and adoption of AI-driven technologies across industries to drive market 193
11.2.4 CANADA 195
11.2.4.1 Growing need to harness transformative potential of AI to drive market 195
11.3 EUROPE 196
11.3.1 MARKET DRIVERS 196
11.3.2 RECESSION IMPACT 196
11.3.3 GERMANY 203
11.3.3.1 Growing adoption of no-code AI platforms to drive innovation across country 203
11.3.4 UK 206
11.3.4.1 Growing need for app development without need for technical skills to drive market 206
11.3.5 FRANCE 206
11.3.5.1 Rising need to enable non-technical users to leverage AI to drive market 206
11.3.6 ITALY 207
11.3.6.1 Rising need for democratizing AI development tailored to specific needs to drive market 207
11.3.7 SPAIN 207
11.3.7.1 Growing emphasis on efficiently creating and deploying AI models without coding to drive market 207
11.3.7.2 Rest of Europe 207
11.4 ASIA PACIFIC 208
11.4.1 MARKET DRIVERS 208
11.4.2 RECESSION IMPACT 208
11.4.3 CHINA 216
11.4.3.1 Growing AI landscape to foster innovation and adoption to drive market 216
11.4.4 JAPAN 219
11.4.4.1 Growing significance of accessible and intuitive AI solutions to meet business needs to drive market 219
11.4.5 INDIA 219
11.4.5.1 Growing need to integrate advanced AI functionalities to drive market 219
11.4.6 SOUTH KOREA 220
11.4.6.1 Growing need to foster more accessible and dynamic digital ecosystem to drive market 220
11.4.7 ANZ 220
11.4.7.1 Growing need to leverage data-driven insights and automate processes to drive market 220
11.4.8 REST OF ASIA PACIFIC 221
11.5 MIDDLE EAST & AFRICA 221
11.5.1 MARKET DRIVERS 222
11.5.2 RECESSION IMPACT 222
11.5.3 SAUDI ARABIA 229
11.5.3.1 Growing demand to embrace digital transformation for enhancing customer experiences to drive market 229
11.5.4 UAE 230
11.5.4.1 Growing adoption of cutting-edge AI technology to offer innovative solutions to drive market 230
11.5.5 TURKEY 230
11.5.5.1 Growing need to automate routine tasks to drive market 230
11.5.6 QATAR 230
11.5.6.1 Rising need to integrate AI technology without need for extensive coding expertise to drive market 230
11.5.7 SOUTH AFRICA 231
11.5.7.1 Growing investments and adoption of green technology to drive market 231
11.5.8 REST OF MIDDLE EAST & AFRICA 231
11.6 LATIN AMERICA 231
11.6.1 MARKET DRIVERS 232
11.6.2 RECESSION IMPACT 232
11.6.3 BRAZIL 239
11.6.3.1 Rising need to streamline AI integration without necessity of advanced coding skills to drive market 239
11.6.4 MEXICO 240
11.6.4.1 Growing need to develop and deploy AI-powered solutions swiftly and efficiently to drive market 240
11.6.5 ARGENTINA 240
11.6.5.1 Rising demand for AI solutions across various verticals to drive market 240
11.6.6 REST OF LATIN AMERICA 241
12 COMPETITIVE LANDSCAPE 242
12.1 OVERVIEW 242
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 242
12.3 REVENUE ANALYSIS 244
12.4 MARKET SHARE ANALYSIS 245
12.4.1 MARKET RANKING ANALYSIS 246
12.5 BRAND COMPARATIVE ANALYSIS 248
12.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 249
12.6.1 STARS 249
12.6.2 EMERGING LEADERS 249
12.6.3 PERVASIVE PLAYERS 249
12.6.4 PARTICIPANTS 249
12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 251
12.6.5.1 Company footprint 251
12.6.5.2 Region footprint 252
12.6.5.3 Offering footprint 252
12.6.5.4 Application footprint 253
12.6.5.5 Vertical footprint 254
12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 254
12.7.1 PROGRESSIVE COMPANIES 255
12.7.2 RESPONSIVE COMPANIES 255
12.7.3 DYNAMIC COMPANIES 255
12.7.4 STARTING BLOCKS 255
12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023 256
12.7.5.1 Detailed list of key startups/SMEs 256
12.7.5.2 Competitive benchmarking of key start-ups/SMEs 258
12.8 COMPETITIVE SCENARIO AND TRENDS 259
12.8.1 PRODUCT LAUNCHES 259
12.8.2 DEALS 261
12.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 263

13 COMPANY PROFILES 264
13.1 INTRODUCTION 264
13.2 KEY PLAYERS 264
13.2.1 IBM 264
13.2.1.1 Business overview 264
13.2.1.2 Products/Solutions/Services offered 265
13.2.1.3 Recent developments 266
13.2.1.4 MnM view 267
13.2.1.4.1 Key strengths 267
13.2.1.4.2 Strategic choices 267
13.2.1.4.3 Weaknesses and competitive threats 268
13.2.2 MICROSOFT 269
13.2.2.1 Business overview 269
13.2.2.2 Products/Solutions/Services offered 270
13.2.2.3 Recent developments 271
13.2.2.4 MnM view 272
13.2.2.4.1 Key strengths 272
13.2.2.4.2 Strategic choices 272
13.2.2.4.3 Weaknesses and competitive threats 272
13.2.3 GOOGLE 273
13.2.3.1 Business overview 273
13.2.3.2 Products/Solutions/Services offered 274
13.2.3.3 Recent developments 275
13.2.3.4 MnM view 277
13.2.3.4.1 Key strengths 277
13.2.3.4.2 Strategic choices 277
13.2.3.4.3 Weaknesses and competitive threats 277
13.2.4 AWS 278
13.2.4.1 Business overview 278
13.2.4.2 Products/Solutions/Services offered 279
13.2.4.3 Recent developments 280
13.2.4.4 MnM view 281
13.2.4.4.1 Key strengths 281
13.2.4.4.2 Strategic choices 281
13.2.4.4.3 Weaknesses and competitive threats 282
13.2.5 SALESFORCE 283
13.2.5.1 Business overview 283
13.2.5.2 Products/Solutions/Services offered 284
13.2.5.3 Recent developments 285

13.2.5.4 MnM view 286
13.2.5.4.1 Key strengths 286
13.2.5.4.2 Strategic choices 286
13.2.5.4.3 Weaknesses and competitive threats 286
13.2.6 C3 AI 287
13.2.6.1 Business overview 287
13.2.6.2 Products/Solutions/Services offered 288
13.2.6.3 Recent developments 289
13.2.7 H2O.AI 290
13.2.7.1 Business overview 290
13.2.7.2 Products/Solutions/Services offered 290
13.2.7.3 Recent developments 291
13.2.8 QLIK 292
13.2.8.1 Business overview 292
13.2.8.2 Products/Solutions/Services offered 292
13.2.8.3 Recent developments 293
13.2.9 CLARIFAI 294
13.2.9.1 Business overview 294
13.2.9.2 Products/Solutions/Services offered 294
13.2.9.3 Recent developments 295
13.2.10 DATAROBOT 296
13.2.10.1 Business overview 296
13.2.10.2 Products/Solutions/Services offered 296
13.2.10.3 Recent developments 297
13.2.11 DATAIKU 298
13.2.11.1 Business overview 298
13.2.11.2 Products/Solutions/Services offered 298
13.2.11.3 Recent developments 298
13.2.12 ALTAIR 300
13.2.12.1 Business overview 300
13.2.12.2 Products/Solutions/Services offered 301
13.2.12.3 Recent developments 302
13.2.13 SYMPHONYAI 304
13.2.13.1 Business overview 304
13.2.13.2 Products/Solutions/Services offered 304
13.2.13.3 Recent developments 305
13.2.14 KORE.AI 306

13.3 STARTUPS/SMES 307
13.3.1 PECAN AI 307
13.3.1.1 Business overview 307
13.3.1.2 Products/Solutions/Services offered 307
13.3.1.3 Recent developments 308
13.3.2 LEVITY 309
13.3.3 CREATIO 310
13.3.4 AKKIO 311
13.3.5 AITO 312
13.3.6 OBVIOUSLY AI 313
13.3.7 KONVERSE AI 314
13.3.8 YELLOW.AI 315
13.3.9 MONKEYLEARN 316
13.3.10 ROBOFLOW 317
13.3.11 NANONETS 318
13.3.12 NOOGATA 318
13.3.13 RASA 319
13.3.14 BUILDER.AI 320
13.3.15 APPY PIE 321
13.3.16 ACCERN 322
13.3.17 RUNWAYML 323
13.3.18 BUBBLE 324
13.3.19 KATONIC AI 325
13.3.20 SWAY AI 325
14 ADJACENT AND RELATED MARKETS 326
14.1 INTRODUCTION 326
14.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2030 326
14.2.1 MARKET DEFINITION 326
14.2.2 MARKET OVERVIEW 326
14.2.2.1 Artificial intelligence market, by offering 327
14.2.2.2 Artificial intelligence market, by technology 328
14.2.2.3 Artificial intelligence market, by business function 329
14.2.2.4 Artificial intelligence market, by vertical 330
14.2.2.5 Artificial intelligence market, by region 331
14.3 CONVERSATIONAL AI MARKET—GLOBAL FORECAST TO 2030 332
14.3.1 MARKET DEFINITION 332
14.3.2 MARKET OVERVIEW 333
14.3.2.1 Conversational AI market, by offering 334
14.3.2.2 Conversational AI market, by business function 334
14.3.2.3 Conversational AI market, by conversational agent type 335
14.3.2.4 Conversational AI market, by integration mode 336
14.3.2.5 Conversational AI market, by vertical 337
14.3.2.6 Conversational AI market, by region 338
15 APPENDIX 340
15.1 DISCUSSION GUIDE 340
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 349
15.3 CUSTOMIZATION OPTIONS 351
15.4 RELATED REPORTS 351
15.5 AUTHOR DETAILS 352

 

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