세계의 노코드 AI 플랫폼 시장 : 시장 규모, 점유율, 성장 분석 - 제공별, 기술별, 데이터 양식별, 용도별, 산업별, 지역별 - 예측(-2029년)

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.

TABLE OF CONTENTS

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