Product Code: GVR-4-68040-090-3
No-code AI Platform Market Growth & Trends:
The global no-code AI platform market size is anticipated to reach USD 24.42 billion by 2030 and is projected to grow at a CAGR of 30.6% from 2024 to 2030, according to a new report by Grand View Research, Inc. The no-code AI is an AI landscape category that intends to democratize AI. It uses a no-code AI development platform with a code-free, visual, and drag-and-drop interface to implement machine learning and AI models. No-code AI capabilities are provided by various tools, including some automation solutions and dedicated no-code AI tools that incorporate integrated AI capabilities in a no-code user interface. No code AI platform allows non-technical users to quickly analyze, classify data and easily create precise models to make predictions.
Enterprises globally are persuaded to increase their investment in AI/ML systems to achieve a competitive edge through better customer insights and increased employee productivity. No-code AI platform enables the creation of AI models without requiring skilled personnel. This benefits businesses since there are simply not enough data science skills. Building AI models takes time, effort, and experience. No-code AI decreases the time it takes to construct AI models to minutes, allowing organizations to incorporate these models into their operations immediately. For instance, in May 2023, Writesonic, Inc., developer of an AI-powered copywriting tool, announced the release of Botsonic, an innovative no-code AI chatbot builder. The new no-code AI chatbot builder is equipped with GPT-4 technology, enabling any enterprise with a no-code integration strategy to effortlessly incorporate Botsonic into its website in minutes.
Moreover, building custom AI solutions necessitates data organizing, data cleansing, code development, debugging, categorizing, and model training. These take significantly longer for users who are unfamiliar with data science. No-code AI platforms have the potential to save development time. No-code AI platforms are designed to aid non-technical users in constructing ML models without delving into the specifics of each process stage, making them simple to use. Additionally, increasing high-quality, affordable automated technology availability is expected to drive market growth expansion in the coming years.
No-code AI Platform Market Report Highlights:
- Based on component, the no-code AI platforms segment led the market with the largest revenue share of 76.8% in 2023. No-code AI platform enables non-expert coders to develop AI systems. Users can use the self-developed AI system to analyze and classify data to build accurate models and make predictions
- Based on technology, the natural language processing segment led the market with the largest revenue share of 55.6% in 2023. It allows machines to encode human language, allowing them to gain a greater understanding of the human environment. Users can use pre-trained NLP engines to automate text-based workflows or a no-code NLP AI platform to develop models
- Based on deployment, the on-premises segment held the market with the largest revenue share of 56.0% in 2023. On-premise no-code AI platform allows users to build and deploy AI applications within their infrastructure without requiring extensive coding knowledge or skills
- North America dominated the market with a revenue share of 39.5% in 2023. The region is home to numerous startups, established technology companies, and cloud service providers offering a range of no-code AI platforms to cater to different industries and use cases
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Research Methodology
- 1.2. Research Scope and Assumptions
- 1.3. Information Procurement
- 1.3.1. Purchased database
- 1.3.2. GVR's internal database
- 1.3.3. Secondary sources & third-party perspectives
- 1.3.4. Primary research
- 1.4. Information Analysis
- 1.4.1. Data analysis models
- 1.5. Market Formulation & Data Visualization
- 1.6. Data Validation & Publishing
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segmental Outlook
- 2.3. Competitive Insights
Chapter 3. Market Variables, Trends, and Scope
- 3.1. Market Lineage
- 3.2. Industry Value Chain Analysis
- 3.3. No-code AI platform Market - Market Dynamics
- 3.3.1. Market driver analysis
- 3.3.1.1. The increasing demand for AI and ML applications
- 3.3.1.2. The increasing adoption of IoT, Edge computing, and data science solutions & services across various industries.
- 3.3.2. Market restraint analysis
- 3.3.2.1. Limited customization and complexity
- 3.3.3. Industry challenges
- 3.4. Business Environmental Tools Analysis: No-code AI Platform Market
- 3.4.1. Porter's five forces analysis
- 3.4.1.1. Bargaining Power of Suppliers
- 3.4.1.2. Bargaining Power of Buyers
- 3.4.1.3. Threat of Substitution
- 3.4.1.4. Threat of New Entrants
- 3.4.1.5. Competitive Rivalry
- 3.4.2. Pestle analysis
- 3.4.2.1. Political Landscape
- 3.4.2.2. Economic Landscape
- 3.4.2.3. Social Landscape
- 3.4.2.4. Technology Landscape
- 3.4.2.5. Environmental Landscape
- 3.4.2.6. Legal Landscape
- 3.5. Economic Mega Trend Analysis
Chapter 4. No-code AI Platform Market: Component Estimates & Trend Analysis
- 4.1. No-code AI Platform Market, by Component: Key Takeaways
- 4.2. No-code AI Platform Market: Component Movement Analysis, 2023 & 2030
- 4.3. No-code AI Platforms
- 4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 4.4. Services
- 4.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 5. No-code AI Platform Market: Technology Estimates & Trend Analysis
- 5.1. No-code AI Platform Market, by Technology: Key Takeaways
- 5.2. No-code AI Platform Market: Technology Movement Analysis, 2023 & 2030
- 5.3. Natural Language Processing
- 5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.4. Computer Vision
- 5.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.5. Predictive Analytics
- 5.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 5.6. Others
- 5.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 6. No-code AI Platform Market: Deployment Estimates & Trend Analysis
- 6.1. No-code AI Platform Market, by Deployment: Key Takeaways
- 6.2. No-code AI Platform Market: Deployment Movement Analysis, 2023 & 2030
- 6.3. Cloud
- 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 6.4. On-premise
- 6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 7. No-code AI Platform Market: Enterprise Size Estimates & Trend Analysis
- 7.1. No-code AI Platform Market, by Enterprise Size: Key Takeaways
- 7.2. No-code AI Platform Market: Enterprise Size Movement Analysis, 2023 & 2030
- 7.3. SMEs
- 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 7.4. Large Enterprises
- 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 8. No-code AI Platform Market: Vertical Estimates & Trend Analysis
- 8.1. No-code AI Platform Market, by Vertical: Key Takeaways
- 8.2. No-code AI Platform Market: Vertical Movement Analysis, 2023 & 2030
- 8.3. BFSI
- 8.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.4. Healthcare
- 8.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.5. Retail & E-Commerce
- 8.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.6. IT & Telecom
- 8.8.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.7. Energy & Utilities
- 8.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.8. Government & Public Sector
- 8.12.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 8.9. Others
- 8.16.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 9. No-code AI Platform Market: Regional Estimates & Trend Analysis
- 9.1. No-code AI Platform Market: Regional Movement Analysis, 2023 & 2030
- 9.2. North America
- 9.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.2.2. U.S.
- 9.2.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.2.3. Canada
- 9.2.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.3. Europe
- 9.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.3.2. Germany
- 9.3.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.3.3. U.K.
- 9.3.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.3.4. France
- 9.3.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4. Asia Pacific
- 9.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4.2. China
- 9.4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4.3. Japan
- 9.4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4.4. India
- 9.4.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4.5. South Korea
- 9.4.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.4.6. Australia
- 9.4.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.5. Latin America
- 9.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.5.2. Brazil
- 9.5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.5.3. Mexico
- 9.5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.6. Middle East & Africa
- 9.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.6.2. Kingdom of Saudi Arabia (KSA)
- 9.6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.6.3. UAE
- 9.6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
- 9.6.4. South Africa
- 9.6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 10. Competitive Landscape
- 10.1. Company Categorization
- 10.2. Company Market Positioning
- 10.3. Company Heat Map Analysis
- 10.4. Strategy Mapping
- 10.5. Company Profiles/Listing
- 10.5.1. AKKIO INC.
- 10.5.1.1. Overview
- 10.5.1.2. Financial Performance
- 10.5.1.3. Product Benchmarking
- 10.5.1.4. Strategic Initiatives
- 10.5.2. Amazon.com, INC.
- 10.5.2.1. Overview
- 10.5.2.2. Financial Performance
- 10.5.2.3. Product Benchmarking
- 10.5.2.4. Strategic Initiatives
- 10.5.3. Apple INC.
- 10.5.3.1. Overview
- 10.5.3.2. Financial Performance
- 10.5.3.3. Product Benchmarking
- 10.5.3.4. Strategic Initiatives
- 10.5.4. Caspio, INC.
- 10.5.4.1. Overview
- 10.5.4.2. Financial Performance
- 10.5.4.3. Product Benchmarking
- 10.5.4.4. Strategic Initiatives
- 10.5.5. ClarifAI, INC.
- 10.5.5.1. Overview
- 10.5.5.2. Financial Performance
- 10.5.5.3. Product Benchmarking
- 10.5.5.4. Strategic Initiatives
- 10.5.6. Datarobot, INC.
- 10.5.6.1. Overview
- 10.5.6.2. Financial Performance
- 10.5.6.3. Product Benchmarking
- 10.5.6.4. Strategic Initiatives
- 10.5.7. Google LLC
- 10.5.7.1. Overview
- 10.5.7.2. Financial Performance
- 10.5.7.3. Product Benchmarking
- 10.5.7.4. Strategic Initiatives
- 10.5.8. LEVITY AI GMBH
- 10.5.8.1. Overview
- 10.5.8.2. Financial Performance
- 10.5.8.3. Product Benchmarking
- 10.5.8.4. Strategic Initiatives
- 10.5.9. Microsoft
- 10.5.9.1. Overview
- 10.5.9.2. Financial Performance
- 10.5.9.3. Product Benchmarking
- 10.5.9.4. Strategic Initiatives
- 10.5.10. Quickbase, INC.
- 10.5.10.1. Overview
- 10.5.10.2. Financial Performance
- 10.5.10.3. Product Benchmarking
- 10.5.10.4. Strategic Initiatives