노코드 AI 플랫폼 시장 : 구성요소별, 기술별, 기업 규모별, 전개 방식별, 최종사용자별, 지역별, 기회, 예측(2017-2031년)

Global no-code AI platform market is projected to witness a CAGR of 21.78% during the forecast period 2024-2031, growing from USD 3.93 billion in 2023 to USD 19.01 billion in 2031.

The adoption of AI across different industries is acting as a catalyst to drive the no-code AI platform market at a significant pace. As per the data provided by the International Trade Administration, the global AI market is poised to grow at a robust annual rate of 17.1%, and it is projected to add an estimated USD 15 trillion to the global economy by 2030, motivating more businesses and public sectors to incorporate it into their work processes to increase productivity on different fronts. Therefore, resulting in a strong rate of AI adoption amplifies the need for a no-code AI platform, as these tools allow non-programmers to deploy robust and validated AI solutions efficiently. No-Code AI platform simplifies the development and deployment of AI technologies, making it easier for more people to participate in the AI-driven transformation, thus accelerating the market's growth. Organizations are evaluating easy-to-access platforms to harness their benefits without needing extensive technical expertise as AI becomes a cornerstone of economic growth.

For instance, in November 2023, Akkio Inc. integrated generative AI with predictive analytics, enabling users to clean data and generate insights through natural language prompts. This innovation simplifies data analysis, making it accessible to all users.

Expanding AI Capabilities Propel Growth in No-Code AI Platform Market

The no-code AI platform market has experienced robust growth, driven by the demand for scalable AI solutions across various industries, including retail, healthcare, and finance. Businesses increasingly seek AI tools that can easily scale to meet their evolving needs and demand. For instance, retail no-code AI platforms are adopting process automation and shifting towards handling inventory and marketing personalization; these are examples of businesses transitioning to more sophisticated digital solutions from simple processes as they expand. While in healthcare, these digital platforms are addressing the growing demand for efficient patient data management and regulatory compliance support.

Additionally, financial services firms can scale no-code AI models for risk management and fraud detection as tasks become more complex. Similarly, banks could leverage scalable No-Code Forex trading tools to enhance their operations. This process will make it easier for organizations to scale according to needs and with rapid agility in responding to changing market scenarios without having substantial code deployers. This flexibility will support the growing demand for no-code AI platforms, contributing to market growth.

For example, in March 2024, Clarifai, Inc., a leader in AI development, announced a strategic partnership with Deepgram, Inc., a leader in automatic speech recognition technology. This alliance integrates Deepgram's speech-to-text technology into Clarifai's AI platform, enhancing capabilities for voice-driven AI applications.

Innovations in No-Code Development Tools Transform the No-Code AI Platform Market

The rise in no-code development tools is propelling the growth of the global no-code AI platform market. These tools have easy-to-use interfaces and pre-trained AI models that empower users to build smart applications without knowing the complexities of programming. These platforms include capabilities like automated machine learning and integration with the existing systems for data, reducing barriers to AI adoption in enterprises. No-code solutions have made AI much more accessible and faster to develop, allowing companies of all sizes the ability to experiment quickly with diverse features that AI can offer. This trend is driving market growth, as businesses across sectors increasingly adopt no-code AI platforms. Companies are leveraging these tools to increase productivity, create superior customer experiences, and foster data-driven decision-making, contributing to the expansion of the no-code AI platform market.

For instance, in May 2024, C3.ai, Inc. launched C3 Generative AI: Standard Edition on Google Cloud Marketplace, supporting Google's Gemini LLM. Thus, a no-code process enables users to effortlessly access insights from enterprise documents within the enterprise.

Government Initiatives Act as a Catalyst

Government initiatives significantly contribute to revenue growth in the no-code AI platform market by making no-code technology more accessible and user-friendly. The United States National AI Strategy and India's AI for All are examples of programs designed to democratize artificial intelligence, encouraging businesses of all sizes to adopt or deploy without requiring extensive coding skills. This enables companies to adopt AI capabilities more rapidly, thereby driving demand for the no-code platform market. These initiatives often provide funding and support via innovation budgets and digital transformation programs, which further stimulate the market.

As a result, there is an increase in adoption, especially among small and medium-sized enterprises, leading to higher revenue for no-code AI platforms. This supportive ecosystem for AI adoption around the world is fuelling the market growth in the forecasted period.

For example, in March 2021, China introduced its 14th Five-Year Plan for National Economic and Social Development and Vision 2035, emphasizing substantial investments in transportation infrastructure. The plan aims to boost logistics efficiency and integrate advanced technologies into transportation management systems to drive national progress.

IT and Telecommunication Sector Leads the No-Code AI Platform Market

The IT and telecommunications sector is at the forefront of the no-code AI platform market, driven by the urgent need for agility and innovation in a rapidly evolving landscape. These industries handle massive volumes of data, requiring efficient solutions for network optimization, predictive maintenance, and enhanced customer engagement. No-code AI platforms empower IT and telecommunication professionals to quickly develop and deploy AI models without requiring extensive coding expertise. This capability accelerates time-to-market, reduces operational costs, and facilitates real-time decision-making. These sectors can continuously innovate, improve service delivery, and maintain a competitive edge by leveraging no-code AI, significantly driving the no-code AI platform market's growth and influencing broader industry adoption.

North America Dominates the No-Code AI Platform Market

North America controls a significant portion of the no-code AI platform market owing to its widespread network of advanced technological organizations and a strong emphasis on deploying innovative solutions driven by robust artificial intelligence-based algorithms. Organizations in finance, healthcare, and retail are deploying no-code AI capabilities to improve process efficiency, consume personalized customer experiences, or go through digital transformation. The market also benefits from enormous venture capitalists' funds spent to accelerate the rate of innovation and adoption of next-gen AI-enabled tools. Additionally, North America's regulatory environment encourages innovation while providing frameworks that ensure the responsible use of AI. It has led North America to be the fastest in establishing a considerable market for no-code AI platforms by deploying this combination of industry demand, financial backing, and supportive policies.

For instance, in August 2023, Akkio, Inc. secured USD 15 million in Series A funding led by Bain Capital Ventures, LLC and Pandome, Inc. The investment will enhance Akkio's generative analytics platform, simplifying data insights and predictive modeling for businesses.

Future Market Scenario (2024-2031F)

No-code AI platform will witness a high adoption rate in industries such as healthcare, finance, and retail, making AI accessible to more non-technical users and driving innovation.

No-code AI platform will offer seamless integration to existing enterprise systems, making workflows easier and data sharing better.

Advanced no-code tools will provide deeper customization options, allowing users to tailor AI models more precisely to their needs.

More organizations will leverage no-code AI to democratize data science, empowering business users to develop AI solutions.

Key Players Landscape and Outlook

Market players are improving on expanding the capabilities of their platforms, such as increasing integration with legacy systems and advanced customization features. The surge in the demand for no-code AI is witnessed by the rising necessities for productivity and reach within industries like finance, healthcare, or retail. Furthermore, the no-code AI platform market seems optimistic with expected growth including an increase in digital transformation initiatives as well as a rise of artificial intelligence tools used by non-technical users. It is expected to witness further advancements in the no-code AI platform market, including more advanced functionalities perhaps with better security and global expansion.

In June 2024, C3 AI, Inc. partnered with Holcim Ltd to deploy its predictive maintenance and generative AI solutions across 45 global plants, boosting efficiency and sustainability in Holcim's digital transformation efforts.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-Added Service
  • 4.3.2. IT Infrastructure Compatibility
  • 4.3.3. Efficiency of Solutions
  • 4.3.4. After-Sales Support
• 4.4. Consideration of Privacy and Regulations

5. Global No-Code AI Platform Market Outlook, 2017-2031F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Component
    • 5.2.1.1. Software
    • 5.2.1.2. Services
  • 5.2.2. By Technology
    • 5.2.2.1. Predictive Analytics
    • 5.2.2.2. Natural Language Processing (NLP)
    • 5.2.2.3. Computer Vision
    • 5.2.2.4. Automated Machine Learning (AutoML)
    • 5.2.2.5. Others
  • 5.2.3. By Company Size
    • 5.2.3.1. Large Enterprises (> 1000 Employees)
    • 5.2.3.2. Small and Medium-Sized Enterprises (SMEs) (< 1000 Employees)
  • 5.2.4. By Deployment Mode
    • 5.2.4.1. Cloud-Based
    • 5.2.4.2. On-Premises
  • 5.2.5. By End-user
    • 5.2.5.1. Banking, Financial Services and Insurance (BFSI)
    • 5.2.5.2. IT and Telecommunication
    • 5.2.5.3. Energy and Utilities
    • 5.2.5.4. Retail and E-Commerce
    • 5.2.5.5. Healthcare
    • 5.2.5.6. Manufacturing
    • 5.2.5.7. Logistics and Transportation
    • 5.2.5.8. Government and Defense
    • 5.2.5.9. Others
  • 5.2.6. By Region
    • 5.2.6.1. North America
    • 5.2.6.2. Europe
    • 5.2.6.3. Asia-Pacific
    • 5.2.6.4. South America
    • 5.2.6.5. Middle East and Africa
  • 5.2.7. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
• 5.3. Market Map Analysis, 2023
  • 5.3.1. By Component
  • 5.3.2. By Technology
  • 5.3.3. By Company Size
  • 5.3.4. By Deployment Mode
  • 5.3.5. By End-User
  • 5.3.6. By Region

6. North America No-Code AI Platform Market Outlook, 2017-2031F*

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Component
    • 6.2.1.1. Software
    • 6.2.1.2. Services
  • 6.2.2. By Technology
    • 6.2.2.1. Predictive Analytics
    • 6.2.2.2. Natural Language Processing (NLP)
    • 6.2.2.3. Computer Vision
    • 6.2.2.4. Automated Machine Learning (AutoML)
    • 6.2.2.5. Others
  • 6.2.3. By Company Size
    • 6.2.3.1. Large Enterprises (> 1000 Employees)
    • 6.2.3.2. Small and Medium-Sized Enterprises (SMEs) (< 1000 Employees)
  • 6.2.4. By Deployment Mode
    • 6.2.4.1. Cloud-Based
    • 6.2.4.2. On-Premises
  • 6.2.5. By End-User
    • 6.2.5.1. Banking, Financial Services and Insurance (BFSI)
    • 6.2.5.2. IT and Telecommunication
    • 6.2.5.3. Energy and Utilities
    • 6.2.5.4. Retail and E-Commerce
    • 6.2.5.5. Healthcare
    • 6.2.5.6. Manufacturing
    • 6.2.5.7. Logistics and Transportation
    • 6.2.5.8. Government and Defense
    • 6.2.5.9. Others
  • 6.2.6. By Country Share
    • 6.2.6.1. United States
    • 6.2.6.2. Canada
    • 6.2.6.3. Mexico
• 6.3. Country Market Assessment
  • 6.3.1. United States No-Code AI Platform Market Outlook, 2017-2031F*
    • 6.3.1.1. Market Size Analysis & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share Analysis & Forecast
      • 6.3.1.2.1. By Component
        • 6.3.1.2.1.1. Software
        • 6.3.1.2.1.2. Services
      • 6.3.1.2.2. By Technology
        • 6.3.1.2.2.1. Predictive Analytics
        • 6.3.1.2.2.2. Natural Language Processing (NLP)
        • 6.3.1.2.2.3. Computer Vision
        • 6.3.1.2.2.4. Automated Machine Learning (AutoML)
        • 6.3.1.2.2.5. Others
      • 6.3.1.2.3. By Company Size
        • 6.3.1.2.3.1. Large Enterprises (> 1000 Employees)
        • 6.3.1.2.3.2. Small and Medium-Sized Enterprises (SMEs) (< 1000 Employees)
      • 6.3.1.2.4. By Deployment Mode
        • 6.3.1.2.4.1. Cloud-Based
        • 6.3.1.2.4.2. On-Premises
      • 6.3.1.2.5. By End-user
        • 6.3.1.2.5.1. Banking, Financial Services and Insurance (BFSI)
        • 6.3.1.2.5.2. IT and Telecommunication
        • 6.3.1.2.5.3. Energy and Utilities
        • 6.3.1.2.5.4. Retail and E-commerce
        • 6.3.1.2.5.5. Healthcare
        • 6.3.1.2.5.6. Manufacturing
        • 6.3.1.2.5.7. Logistics and Transportation
        • 6.3.1.2.5.8. Government and Defense
        • 6.3.1.2.5.9. Others
  • 6.3.2. Canada
  • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe No-Code AI Platform Market Outlook, 2017-2031F

• 7.1. Germany
• 7.2. France
• 7.3. Italy
• 7.4. United Kingdom
• 7.5. Russia
• 7.6. Netherlands
• 7.7. Spain
• 7.8. Turkey
• 7.9. Poland

8. Asia-Pacific No-Code AI Platform Market Outlook, 2017-2031F

• 8.1. India
• 8.2. China
• 8.3. Japan
• 8.4. Australia
• 8.5. Vietnam
• 8.6. South Korea
• 8.7. Indonesia
• 8.8. Philippines

9. South America No-Code AI Platform Market Outlook, 2017-2031F

• 9.1. Brazil
• 9.2. Argentina

10. Middle East and Africa No-Code AI Platform Market Outlook, 2017-2031F

• 10.1. Saudi Arabia
• 10.2. UAE
• 10.3. South Africa

11. Porter's Five Forces Analysis

12. PESTLE Analysis

13. Market Dynamics

• 13.1. Market Drivers
• 13.2. Market Challenges

14. Market Trends and Developments

15. Case Studies

16. Competitive Landscape

• 16.1. Competition Matrix of Top 5 Market Leaders
• 16.2. SWOT Analysis for Top 5 Players
• 16.3. Key Players Landscape for Top 10 Market Players
  • 16.3.1. Akkio Inc.
    • 16.3.1.1. Company Details
    • 16.3.1.2. Key Management Personnel
    • 16.3.1.3. Products and Services
    • 16.3.1.4. Financials (As Reported)
    • 16.3.1.5. Key Market Focus and Geographical Presence
    • 16.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisitions
  • 16.3.2. Alphabet Inc.
  • 16.3.3. Amazon Web Services, Inc.
  • 16.3.4. C3.ai, Inc.
  • 16.3.5. Clarifai, Inc.
  • 16.3.6. International Business Machines Corporation
  • 16.3.7. Microsoft Corporation
  • 16.3.8. QlikTech International A.B.
  • 16.3.9. Salesforce, Inc.
  • 16.3.10. SymphonyAI LLC

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

17. Strategic Recommendations

18. About Us and Disclaimer