![]() 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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SummaryThe 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. Table of Contents1 INTRODUCTION 331.1 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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