No-Code AI Platforms Market

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

Report Code: TC 9047 Jun, 2024, by marketsandmarkets.com

[352 Pages Report] 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 technology enables users to develop artificial intelligence models effortlessly, even without programming expertise. It operates through a user-friendly interface where users input data and specify the desired AI model type, automating the model creation process. This innovation democratizes AI, making it accessible beyond technical specialists. By automating repetitive tasks, conducting data analysis, and facilitating swift decision-making, No-Code AI enhances business efficiency and fosters growth. It empowers businesses to harness AI capabilities without relying on extensive teams of data scientists or programmers, thereby conserving time and resources. Furthermore, it fosters innovation and enhances competitiveness, enabling businesses to adapt swiftly in dynamic markets.

No-Code AI Platforms Market

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No-Code AI Platforms Market Opportunities

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Market Dynamics

Driver: Empowering rapid prototyping and collaboration with no-code AI platforms

The surge in demand for rapid prototyping and experimentation is propelling the adoption of no-code AI platforms, which enable individuals across diverse fields to create AI applications without extensive coding skills. These platforms offer several advantages, including swift testing and refinement of ideas into functional prototypes using visual tools and immediate iterations. They also drive cost and time efficiency by accelerating early-stage validation, reducing development expenses, and expediting product launches. Moreover, it fosters enhanced collaboration among designers, developers, and stakeholders, enabling non-technical team members to actively contribute to the design process and improve decision-making and project outcomes. Additionally, no-code AI platforms democratize AI application development by empowering designers to validate ideas without technical constraints, focusing on user experience and aesthetics, and making innovation more inclusive and approachable for a wider audience. This trend reflects a fundamental shift in how AI technology is accessed and utilized, opening new avenues for creativity, collaboration, and advancement across industries.

Restraint: Balancing customization and simplicity in no-code AI platforms to drive market growth

No-Code AI platforms have democratized AI development by making it accessible to a broader audience. However, their limited customization options can impede market growth. These platforms typically rely on pre-built models and a structured framework, restricting users from making substantial adjustments to meet their specific needs. This inflexibility can be particularly problematic for organizations with unique requirements or complex use cases requiring advanced customization. Additionally, the simplistic design of No-Code AI platforms may not be suitable for creating sophisticated and nuanced AI models. Users aiming to build highly specialized applications or requiring deeper control over the underlying algorithms may find these platforms inadequate. This limitation can lead to a mismatch between the platform's capabilities and user requirements, potentially hindering the adoption of No-Code AI in certain industries or use cases. To address this challenge, No-Code AI platforms need to balance simplicity and customization, offering advanced options for users needing greater control over their AI models. Enhancing customization while maintaining user-friendly interfaces can cater to a broader spectrum of users and drive market growth.

Opportunity: Rising demand for streamlining operations drives business efficiency

The increasing demand for streamlining operations and maximizing efficiency through automation is driving the market for no-code AI platforms. As businesses aim to leverage artificial intelligence (AI) and machine learning (ML) to automate tasks and extract real-time insights, there is a growing requirement for user-friendly tools that can bridge the gap between technical complexities and operational needs. No-code AI platforms play a critical role in democratizing AI development, empowering non-technical users to effortlessly create and interact with AI models. This democratization not only accelerates AI adoption but also enables organizations to harness the transformative potential of AI without relying solely on specialized technical skills. By simplifying the process of AI model deployment, these platforms facilitate improved operational efficiency and informed decision-making. Consequently, the relentless pursuit of automation to enhance productivity and drive innovation is fueling the rapid expansion of the global market for no-code AI platforms, reshaping the dynamics of contemporary business operations.

Challenge: Navigating vendor lock-in in the no-code AI platform market

The issue of vendor lock-in within the no-code AI platform sphere presents a significant business challenge. These platforms often utilize proprietary coding languages, complicating the process of migrating to alternative vendors. Consequently, businesses are confronted with substantial costs and operational risks during transitions, necessitating extensive retooling and retraining efforts. Furthermore, the proprietary nature of these platforms restricts seamless integration with other systems, amplifying reliance on the original vendor. Addressing this challenge entails conducting thorough evaluations of vendors' long-term roadmaps, licensing models, and flexibility. By strategically selecting a no-code AI platform, businesses can enhance their ability to manage data and applications effectively while mitigating the risks associated with vendor lock-in.

No-code AI platforms Market Ecosystem

The no-code AI platforms ecosystem thrives on a diverse array of stakeholders. Solutions providers such as Bubble, Levity, and others offer intuitive tools for creating AI-driven applications without coding. Services providers such as AWS and Google offer scalable infrastructure and managed services, catering to varying needs. End users, from startups to enterprises, leverage these platforms for streamlined automation and predictive analytics. Regulatory bodies ensure compliance and ethical use, shaping the framework for responsible AI deployment. Together, these entities foster innovation while addressing concerns of accessibility, transparency, and ethical implications in the rapidly evolving landscape of no-code AI solutions.

Top Companies in No-Code AI Platforms Market

By Vertical, BFSI segment accounts for the largest market size during the forecast period.

The BFSI sector is increasingly embracing no-code AI platforms due to their ability to democratize AI adoption and accelerate digital transformation. These platforms empower financial institutions to create and deploy AI solutions without extensive programming skills, reducing development cycles and costs significantly. By leveraging no-code AI tools, banks and insurance companies can enhance operational efficiency, improve customer experiences with personalized services, and strengthen risk management through advanced analytics. Moreover, these platforms enable quick prototyping and iteration of AI applications, fostering innovation and agility within the sector. As regulatory pressures mount, no-code AI platforms also offer built-in compliance features, ensuring adherence to industry standards and enhancing trust in AI-driven decision-making processes. Overall, the growing adoption of no-code AI platforms in BFSI underscores their pivotal role in driving competitive advantage and operational excellence in the financial services landscape.

By Data Modality, text segment accounts for the largest market size during the forecast period.

Text data modality is rapidly gaining significant market share within the evolving landscape of no-code AI platforms. As businesses increasingly recognize the value of unstructured text data, these platforms enable seamless integration and analysis without complex coding requirements. From sentiment analysis to chatbot development and content categorization, the versatility of text data fuels innovation across industries. This growing adoption is driven by the accessibility and scalability offered by no-code platforms, democratizing AI capabilities for a broader range of users. As a result, organizations can extract actionable insights from textual sources with greater efficiency and accuracy, driving decision-making and enhancing customer experiences. The expanding market signals a shift towards more intuitive, user-friendly AI solutions tailored to harness the power of textual information effectively.

North America to account for the largest market size during the forecast period.

The no-code AI platform market in North America is witnessing significant growth, driven by the increasing adoption of AI technologies across various industries. The region's robust technological infrastructure, strong research and development capabilities, and presence of key market players have contributed to its dominance. These platforms empower businesses and individuals with varying technical backgrounds to create sophisticated AI solutions without extensive coding knowledge. From startups to established enterprises, industries such as finance, healthcare, and retail are leveraging these tools to streamline operations, enhance customer experiences, and drive innovation. With user-friendly interfaces and pre-built modules for tasks like data analysis, natural language processing, and predictive modeling, no-code AI platforms democratize access to advanced technologies.

North American No-Code AI Platforms Market Size, and Share

Key Market Players

The major No-code AI platform solutions and service providers include IBM (US) , Google (US) , Microsoft (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). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the no-code AI platforms market.

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

USD Billion

Segments Covered

Offering (solutions [by type { reporting & visualization tools, AutoML platforms, and automation platforms (flow builder tools, conversational AI building tools, business process automation tools, and others), and other solution types}, by deployment mode [cloud, and on-premises]}, and services), Technology (predictive analytics, deep learning, natural language processing, computer vision), Data Modality (text, image, video, audio & speech, and multimodal), Application ( workflow automation, text translation & generation, platform building, chatbot & virtual assistants, predictive lead scoring, digital workflow design, visual recognition & object detection, predictive customer churn, and other applications), Vertical (BFSI, retail & ecommerce, automotive, transportation & logistics, government & defense, healthcare & life sciences, telecommunications, energy & utilities, manufacturing, agriculture, IT/ITeS, media & entertainment, and other verticals).

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, Latin America

Companies covered

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).

This research report categorizes the No-code AI platforms market based on offering (solutions [By type, deployment mode] & services), technology, data modality, application, vertical, and region.

Offering:
  • Solutions
    • By Type
      • Reporting & Visualization Tools
      • AutoML Platforms
      •  Automation Platforms
        • Flow Builder Tools
        • Conversational AI Building Tool
        • Business Process Automation Tools
        • Others
      • Others
    • By Deployment Mode
      • Cloud
      • On-Premises
  • Services
    • Professional Services
      • Consulting Services
      • Deployment & Integration Services
      • Support & Maintenance Services
    • Managed Services
By Technology:
  • Predictive Analytics
  • Natural Language Processing
  • Deep Learning
  • Computer Vision
By Data Modality:
  • Text
  • Image
  • Video
  • Audio & Speech
  • Multimodal
By Application:
  • Workflow Automation
  • Text Translation & Generation
  • Platform Building
  • Chatbot & Virtual Assistants
  • Predictive Lead Scoring
  • Digital Workflow Design
  • Visual Recognition & Object Detection
  • Predictive Customer Churn
  • Other Applications
By Vertical:
  • BFSI
  • Retail & eCommerce
  • Automotive, Transportation & Logistics
  • Government & Defense
  • Healthcare & Life Sciences
  • Telecommunications
  • Energy & Utilities
  • Manufacturing
  • Agriculture
  • IT/ITeS
  • Media & Entertainment
  • Other Verticals
By Region:
  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Recent Developments:

  • In May 2024, IBM and Salesforce expand partnership to advance open, trusted AI and data ecosystems, combining IBM Watsonx with Salesforce Einstein for greater customer choice, responsible AI development, and industry-specific solutions to enhance customer experiences while safeguarding data and accelerating AI adoption through IBM Consulting and diverse partner ecosystem.
  • In April 2024, C3 AI and Google Cloud have partnered to democratize generative AI with no-code tools on the Google Cloud Marketplace, making it more accessible to enterprises. This enables more companies to benefit from the technology and improve access to data, boost productivity, and deliver better personalized experiences.
  • In April 2024, Google unveiled Vertex AI Agent Builder, a no-code tool designed to streamline the creation of AI agents. This tool simplifies the process of building and deploying conversational agents, empowering users to efficiently train and guide them for enhanced performance. With Vertex AI Agent Builder, users can easily develop and deploy production-ready conversational agents, enabling them to improve the accuracy and quality of responses from AI models.
  • In October 2023, Salesforce announced the acquisition of Airkit.ai, which bolsters its Service Cloud division, integrating AI-powered customer service solutions. This addition complements existing capabilities, enriching the ecosystem for more advanced AI-driven customer experiences. This strategic move solidifies Salesforce's leadership in AI-driven customer engagement, leveraging its platform and ecosystem to maintain a competitive edge and stay at the forefront of innovation in the industry.
  • In September 2022, Altair a global leader in computational science and AI, has signed a definitive agreement to acquire RapidMiner, a leading provider of advanced data analytics and machine learning (ML) software.
  • In March 2022, JADBio, a leading automated machine learning no-code platform has teamed up with AWS to unveil the inclusion of its Automated Machine Learning platform on the renowned AWS Marketplace. It streamlines the process of discovering, testing, purchasing, and deploying software designed to operate seamlessly on AWS.
  • In September 2021, Qlik acquired Big Squid, a leader in no-code automated machine learning (AutoML). This acquisition enhances Qlik’s offerings with advanced augmented analytics capabilities, including key driver analysis, predictive analytics, and what-if scenario planning.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 33)
    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 (Page No. - 38)
    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 (Page No. - 50)
 
4 PREMIUM INSIGHTS (Page No. - 56)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN NO-CODE AI PLATFORMS MARKET 
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
    4.3 MARKET, BY KEY TECHNOLOGY, 2024–2029 
    4.4 MARKET, BY OFFERING AND KEY VERTICAL, 2024 
    4.5 MARKET, BY REGION, 2024 
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 59)
    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 (Page No. - 100)
    6.1 INTRODUCTION 
           6.1.1 OFFERING: 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 (Page No. - 120)
    7.1 INTRODUCTION 
           7.1.1 TECHNOLOGY: 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 (Page No. - 127)
    8.1 INTRODUCTION 
           8.1.1 DATA MODALITY: 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 (Page No. - 135)
    9.1 INTRODUCTION 
           9.1.1 APPLICATION: 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 (Page No. - 147)
     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
     10.1 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 (Page No. - 182)
     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 (Page No. - 242)
     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 (Page No. - 264)
     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 (Page No. - 326)
     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 (Page No. - 340)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 
 
 
LIST OF TABLES (341 Tables) 
 
TABLE 1 USD EXCHANGE RATE, 2020–2023
TABLE 2 PRIMARY INTERVIEWS
TABLE 3 FACTOR ANALYSIS
TABLE 4 GLOBAL NO-CODE AI PLATFORMS MARKET AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y%)
TABLE 5 GLOBAL MARKET AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y%)
TABLE 6 ROLE OF PLAYERS IN MARKET
TABLE 7 IMPACT OF EACH FORCE ON MARKET
TABLE 8 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
TABLE 9 INDICATIVE PRICING LEVELS OF NO-CODE AI PLATFORMS, BY OFFERING
TABLE 10 PATENTS FILED, 2014–2024
TABLE 11 TOP 20 PATENT OWNERS IN MARKET, 2014–2024
TABLE 12 LIST OF FEW PATENTS IN MARKET, 2023–2024
TABLE 13 DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
TABLE 14 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 15 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 16 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 17 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 18 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
TABLE 20 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
TABLE 21 COMPARISON BETWEEN TRADITIONAL AND NO-CODE AI PROCESSES
TABLE 22 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 23 NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 24 SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 25 SOLUTIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 26 NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 27 NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 28 REPORTING & VISUALIZATION TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 29 REPORTING & VISUALIZATION TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 30 AUTOML PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 31 AUTOML PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 32 AUTOMATION PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 33 AUTOMATION PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 34 OTHER SOLUTION TYPES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 35 OTHER SOLUTION TYPES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 36 NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 37 NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 38 CLOUD: NO-CODE AI PLATFORMS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 39 CLOUD: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 40 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 41 ON-PREMISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 42 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 43 MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 44 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 45 SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 46 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 47 MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 48 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 49 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 50 CONSULTING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 51 CONSULTING SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 52 DEPLOYMENT & INTEGRATION SERVICES: NO-CODE AI PLATFORMS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 53 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 54 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 55 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 56 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 57 MANAGED SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 58 MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 59 NO-CODE AI PLATFORMS MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 60 PREDICTIVE ANALYTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 61 PREDICTIVE ANALYTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 62 DEEP LEARNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 63 DEEP LEARNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 64 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 65 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 66 COMPUTER VISION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 67 COMPUTER VISION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 68 MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 69 NO-CODE AI PLATFORMS MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 70 TEXT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 71 TEXT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 72 IMAGE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 73 IMAGE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 74 VIDEO: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 75 VIDEO: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 76 SPEECH & AUDIO: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 77 SPEECH & AUDIO: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 78 MULTIMODAL: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 79 MULTIMODAL: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 80 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 81 NO-CODE AI PLATFORMS MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 82 WORKFLOW AUTOMATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 83 WORKFLOW AUTOMATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 84 TEXT TRANSLATION & GENERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 85 TEXT TRANSLATION & GENERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 86 PLATFORM BUILDING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 87 PLATFORM BUILDING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 88 CHATBOTS & VIRTUAL ASSISTANTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 89 CHATBOTS & VIRTUAL ASSISTANTS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 90 PREDICTIVE LEAD SCORING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 91 PREDICTIVE LEAD SCORING: NO-CODE AI PLATFORMS MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 92 PREDICTIVE CUSTOMER CHURN: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 93 PREDICTIVE CUSTOMER CHURN: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 94 VISUAL RECOGNITION & OBJECT DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 95 VISUAL RECOGNITION & OBJECT DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 96 VISUAL WORKFLOW BUILDING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 97 VISUAL WORKFLOW BUILDING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 98 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 99 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 100 NO-CODE AI PLATFORMS MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 101 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 102 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 103 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 104 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 105 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 106 AUTOMOTIVE, TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 107 AUTOMOTIVE, TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 108 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 109 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 110 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 111 HEALTHCARE & LIFE SCIENCES: NO-CODE AI PLATFORMS MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 112 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 113 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 114 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 115 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 116 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 117 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 118 AGRICULTURE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 119 AGRICULTURE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 120 IT/ITES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 121 IT/ITES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 122 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 123 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 124 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 125 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 126 MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 127 NO-CODE AI PLATFORMS MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 128 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 129 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 130 NORTH AMERICA: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 131 NORTH AMERICA: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 132 NORTH AMERICA: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 133 NORTH AMERICA: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 134 NORTH AMERICA: NO-CODE AI PLATFORMS MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 135 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 136 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 137 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 138 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 139 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 140 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 141 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 142 NORTH AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 143 NORTH AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 144 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 145 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 146 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 147 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 148 US: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 149 US: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 150 US: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 151 US: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 152 US: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 153 US: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 154 US: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 155 US: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 156 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 157 EUROPE: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 158 EUROPE: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 159 EUROPE: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 160 EUROPE: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 161 EUROPE: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 162 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 163 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 164 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 165 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 166 EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 167 EUROPE: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 168 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 169 EUROPE: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 170 EUROPE: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 171 EUROPE: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 172 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 173 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 174 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 175 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 176 GERMANY: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 177 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 178 GERMANY: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 179 GERMANY: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 180 GERMANY: NO-CODE AI PLATFORMS SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 181 GERMANY: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 182 GERMANY: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 183 GERMANY: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 184 ASIA PACIFIC: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 185 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 186 ASIA PACIFIC: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 187 ASIA PACIFIC: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 188 ASIA PACIFIC: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 189 ASIA PACIFIC: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 190 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 191 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 192 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 193 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 194 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 195 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 196 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 197 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 198 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 199 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 200 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 201 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 202 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 203 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 204 CHINA: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 205 CHINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 206 CHINA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 207 CHINA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 208 CHINA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 209 CHINA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 210 CHINA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 211 CHINA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 212 MIDDLE EAST & AFRICA: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 214 MIDDLE EAST & AFRICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 215 MIDDLE EAST & AFRICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 216 MIDDLE EAST & AFRICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 217 MIDDLE EAST & AFRICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 224 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 226 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 227 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 228 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 229 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 230 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 231 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 232 LATIN AMERICA: NO-CODE AI PLATFORMS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 233 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 234 LATIN AMERICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 235 LATIN AMERICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 236 LATIN AMERICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 237 LATIN AMERICA: NO-CODE AI PLATFORM SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 238 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 239 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 240 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 241 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 242 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
TABLE 243 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
TABLE 244 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 245 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 246 LATIN AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 247 LATIN AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 248 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 249 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
TABLE 250 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 251 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 252 OVERVIEW OF STRATEGIES ADOPTED BY KEY NO-CODE AI PLATFORM VENDORS
TABLE 253 NO-CODE AI PLATFORMS MARKET: DEGREE OF COMPETITION
TABLE 254 MARKET: REGION FOOTPRINT, 2023
TABLE 255 MARKET: OFFERING FOOTPRINT, 2023
TABLE 256 MARKET: APPLICATION FOOTPRINT, 2023
TABLE 257 MARKET: VERTICAL FOOTPRINT, 2023
TABLE 258 MARKET: KEY STARTUPS/SMES
TABLE 259 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
TABLE 260 MARKET: PRODUCT LAUNCHES, JANUARY 2021–MAY 2024
TABLE 261 NO-CODE AI PLATFORMS MARKET: DEALS, JANUARY 2021–MAY 2024
TABLE 262 IBM: COMPANY OVERVIEW
TABLE 263 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 264 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 265 IBM: DEALS
TABLE 266 MICROSOFT: COMPANY OVERVIEW
TABLE 267 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 268 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 269 MICROSOFT: OTHER DEALS
TABLE 270 GOOGLE: COMPANY OVERVIEW
TABLE 271 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 272 GOOGLE: PRODUCT LAUNCHES
TABLE 273 GOOGLE: DEALS
TABLE 274 AWS: COMPANY OVERVIEW
TABLE 275 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 276 AWS: PRODUCT LAUNCHES
TABLE 277 AWS: DEALS
TABLE 278 SALESFORCE: COMPANY OVERVIEW
TABLE 279 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 280 SALESFORCE: PRODUCT LAUNCHES
TABLE 281 SALESFORCE: DEALS
TABLE 282 C3 AI: COMPANY OVERVIEW
TABLE 283 C3 AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 284 C3 AI: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 285 C3 AI: DEALS
TABLE 286 H2O.AI: COMPANY OVERVIEW
TABLE 287 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 288 H2O.AI: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 289 H2O.AI: DEALS
TABLE 290 QLIK: COMPANY OVERVIEW
TABLE 291 QLIK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 292 QLIK: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 293 QLIK: DEALS
TABLE 294 CLARIFAI: COMPANY OVERVIEW
TABLE 295 CLARIFAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 296 CLARIFAI: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 297 DATAROBOT: COMPANY OVERVIEW
TABLE 298 DATAROBOT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 299 DATAROBOT: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 300 DATAROBOT: DEALS
TABLE 301 DATAIKU: COMPANY OVERVIEW
TABLE 302 DATAIKU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 303 DATAIKU: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 304 ALTAIR: COMPANY OVERVIEW
TABLE 305 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 306 ALTAIR: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 307 ALTAIR: DEALS
TABLE 308 SYMPHONYAI: COMPANY OVERVIEW
TABLE 309 SYMPHONYAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 310 SYMPHONYAI: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 311 SYMPHONYAI: DEALS
TABLE 312 PECAN AI: COMPANY OVERVIEW
TABLE 313 PECAN AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 314 PECAN AI: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 315 PECAN AI: OTHER DEALS
TABLE 316 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH)
TABLE 317 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2023–2030 (USD MILLION, Y-O-Y GROWTH)
TABLE 318 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
TABLE 319 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023–2030 (USD MILLION)
TABLE 320 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
TABLE 321 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
TABLE 322 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
TABLE 323 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
TABLE 324 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
TABLE 325 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
TABLE 326 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
TABLE 327 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
TABLE 328 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y)
TABLE 329 GLOBAL CONVERSATIONAL AI MARKET SIZE AND GROWTH RATE, 2024–2030 (USD MILLION, Y-O-Y)
TABLE 330 CONVERSATIONAL AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 331 CONVERSATIONAL AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
TABLE 332 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 333 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
TABLE 334 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2019–2023 (USD MILLION)
TABLE 335 CONVERSATIONAL AI MARKET, BY CONVERSATIONAL AGENT TYPE, 2024–2030 (USD MILLION)
TABLE 336 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2019–2023 (USD MILLION)
TABLE 337 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2024–2030 (USD MILLION)
TABLE 338 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
TABLE 339 CONVERSATIONAL AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
TABLE 340 CONVERSATIONAL AI MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 341 CONVERSATIONAL AI MARKET, BY REGION, 2024–2030 (USD MILLION)
 
  
LIST OF FIGURES (64 Figures) 
 
FIGURE 1 NO-CODE AI PLATFORMS MARKET: RESEARCH DESIGN
FIGURE 2 MARKET: DATA TRIANGULATION
FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE FROM VENDORS OF SOLUTIONS/SERVICES OF NO-CODE AI PLATFORMS MARKET
FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES OF NO-CODE AI PLATFORMS
FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY SIDE): MARKET ESTIMATION FROM ALL SOLUTIONS/SERVICES AND CORRESPONDING SOURCES
FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF NO-CODE AI PLATFORMS THROUGH OVERALL NO-CODE AI PLATFORMS SPENDING
FIGURE 8 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET IN 2024
FIGURE 9 REPORTING & VISUALIZATION TOOLS SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024
FIGURE 10 CLOUD DEPLOYMENT TO ACCOUNT FOR LARGER MARKET IN 2024
FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET IN 2024
FIGURE 12 CONSULTING SERVICES SEGMENT TO HOLD LARGEST MARKET IN 2024
FIGURE 13 PREDICTIVE ANALYTICS SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024
FIGURE 14 TEXT SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024
FIGURE 15 CHATBOTS & VIRTUAL ASSISTANTS SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024
FIGURE 16 BFSI ESTIMATED TO ACCOUNT FOR LARGEST MARKET IN 2024
FIGURE 17 NORTH AMERICAN MARKET TO ACCOUNT FOR LARGEST SHARE IN 2024
FIGURE 18 RISING DEMAND FOR MAXIMIZING EFFICIENCY THROUGH AUTOMATION TO PROPEL MARKET GROWTH
FIGURE 19 NO-CODE AI PLATFORMS MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2024
FIGURE 20 PREDICTIVE ANALYTICS SEGMENT TO ACCOUNT FOR LARGEST MARKET
FIGURE 21 SOLUTIONS AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES
FIGURE 22 NORTH AMERICA TO DOMINATE MARKET IN 2024
FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
FIGURE 24 MILESTONES IN MARKET
FIGURE 25 KEY PLAYERS IN NO-CODE AI PLATFORMS MARKET ECOSYSTEM
FIGURE 26 MARKET: SUPPLY CHAIN ANALYSIS
FIGURE 27 PORTER’S FIVE FORCES ANALYSIS
FIGURE 28 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY TOP APPLICATION
FIGURE 29 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2014–2024
FIGURE 30 TOP 10 APPLICANTS IN MARKET, 2014–2024
FIGURE 31 REGIONAL ANALYSIS OF PATENTS GRANTED FOR MARKET, 2014–2024
FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
FIGURE 34 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
FIGURE 35 NO-CODE AI PLATFORMS MARKET: INVESTMENT LANDSCAPE, 2019–2024
FIGURE 36 COMPARING TRADITIONAL AND NO-CODE AI DEVELOPMENT PIPELINE
FIGURE 37 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 38 AUTOMATION PLATFORMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 39 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 40 PROFESSIONAL SERVICES SEGMENT TO HOLD LARGEST MARKET DURING FORECAST PERIOD
FIGURE 41 CONSULTING SERVICES SEGMENT TO HOLD LARGEST MARKET DURING FORECAST PERIOD
FIGURE 42 COMPUTER VISION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 43 MULTIMODAL SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 44 PLATFORM BUILDING SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 45 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 46 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 47 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 48 NORTH AMERICA: NO-CODE AI PLATFORMS MARKET SNAPSHOT
FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 50 REVENUE ANALYSIS OF KEY PLAYERS, 2019–2023
FIGURE 51 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
FIGURE 52 BRAND COMPARISON ANALYSIS
FIGURE 53 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
FIGURE 54 MARKET: COMPANY FOOTPRINT, 2023
FIGURE 55 NO-CODE AI PLATFORMS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
FIGURE 56 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
FIGURE 57 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND FIVE-YEAR STOCK BETA OF KEY VENDORS
FIGURE 58 IBM: COMPANY SNAPSHOT
FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
FIGURE 60 GOOGLE: COMPANY SNAPSHOT
FIGURE 61 AWS: COMPANY SNAPSHOT
FIGURE 62 SALESFORCE: COMPANY SNAPSHOT
FIGURE 63 C3 AI: COMPANY SNAPSHOT
FIGURE 64 ALTAIR: COMPANY SNAPSHOT

The research study for the no-code AI platforms market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred No-Code AI platform providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

The market size of companies offering No-Code AI platforms solutions, and services was determined based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, no-code AI platform spending in various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to offering, technology, data modality, application, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and No-Code AI platforms expertise; related key executives from No-Code AI platforms solution vendors, System Integrators (SIs), professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions, and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helps understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using No-Code AI platforms solutions, and services, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of No-Code AI platforms solutions, and services, which would impact the overall No-Code AI platforms market.

The following is the breakup of primary profiles:

No-Code AI Platforms Market Size, and Share

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the no-code AI platforms market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions, and services in the No-Code AI platforms market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of offerings, technology, data modality, applications, and vertical. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of No-Code AI platforms solutions, and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of No-Code AI platforms solutions, and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the No-Code AI platforms market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major No-Code AI platforms providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary values, the exact values of the overall No-Code AI platforms market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

No-Code AI Platforms Market Top Down and Bottom Up Approach

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Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

No-code AI platforms aim to democratize artificial intelligence by enabling users to deploy AI and machine learning models through a visual, code-free interface, often with drag-and-drop features. This category includes dedicated no-code AI tools and some automation tools, such as RPA software, that integrate AI capabilities within a no-code interface.

According to C3 AI, no-code is an approach that allows users to create application functionality without writing traditional code. Users design applications and workflows by linking building blocks in a graphical user interface and selecting implementation details via a menu-driven interface. Built on a model-driven architecture, no-code platforms use a declarative approach for writing simplified functions and expressions. These environments target business users or analysts with limited programming experience but substantial domain knowledge to create or modify workflows. They also enable experienced programmers to make quick changes without altering code.

Stakeholders

  • No-Code AI Platforms Solution Providers
  • AI Technology Providers
  • Professional and Managed Service Providers
  • Industry Associations
  • Research Institutions
  • System Integrators
  • Technology Consultants
  • Independent Software Vendors (ISVs)
  • Consulting Firms
  • Value-Added Resellers (VARs)
  • Government Agencies

Report Objectives

  • To define, describe, and predict the No-Code AI platforms market by offering (solutions, and services), technology, data modality, application, and vertical.
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth.
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market.
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders.
  • To analyze competitive developments, such as partnerships, mergers and acquisitions, and product developments, in the market.
  • To analyze the impact of the recession across all the regions in the No-Code AI platforms market.
  •  

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the North American No-code AI platforms Market
  • Further breakup of the European Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American No-code AI platforms Market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
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Report Code
TC 9047
Published ON
Jun, 2024
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