노코드 AI 플랫폼 시장 : 컴포넌트, 테크놀러지, 모듈/기능, 조직 규모, 도입, 최종사용자별 - 세계 예측(2025-2030년)

The No-Code AI Platforms Market was valued at USD 3.83 billion in 2023, expected to reach USD 4.62 billion in 2024, and is projected to grow at a CAGR of 21.44%, to USD 14.92 billion by 2030.

No-code AI platforms have emerged as transformative tools allowing users to develop AI-driven solutions without the need for extensive programming skills. The scope of these platforms spans across diverse sectors, including healthcare, finance, retail, and manufacturing, serving purposes such as automating processes, predicting trends, personalizing customer experiences, and more. As organizations increasingly seek rapid digital transformation, the necessity for no-code AI platforms grows, driven by the need for faster deployment, reduced development costs, and empowerment of business users to create solutions independently. Their applications are broad, encompassing tasks like image recognition, natural language processing, predictive analytics, and workflow automation. In terms of end-use scope, small to medium enterprises (SMEs) benefit significantly from no-code AI solutions due to resource constraints, while large enterprises leverage them to augment their existing tech stack.

Key growth factors include the rising demand for AI-driven automation and the shortage of skilled developers, coupled with businesses' desire to innovate quickly. However, challenges remain, such as concerns over data security, limitations in handling complex AI tasks, and the need for continuous updates and maintenance to stay relevant. The market faces obstacles like an initial learning curve for non-tech users and potential integration issues with legacy systems.

Opportunities abound in further democratizing AI, expanding into untapped sectors like agriculture and education, and enhancing platform capabilities to include more sophisticated AI models. Innovators can focus on improving user interfaces, bolstering security features, and facilitating seamless integration with existing infrastructure. To capitalize on these opportunities, companies should actively engage with end-users to gather feedback, refine their offerings, and invest in robust customer support. For sustained growth, businesses must also stay abreast of the latest AI advancements and compliance regulations. As the market is dynamic and rapidly evolving, firms that prioritize adaptability and continuous learning are poised to succeed in the no-code AI landscape.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving No-Code AI Platforms Market

The No-Code AI Platforms Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing demand for rapid application development and deployment without extensive coding knowledge requirements
  • Growing need for businesses to leverage AI-driven insights and automation to stay competitive
  • Rising cost of traditional software development and associated long development cycles
  • Expanding integration of no-code AI platforms with existing business systems and workflows
• Market Restraints
  • Concerns over data security and privacy issues associated with no-code AI platforms
  • High initial costs and ongoing subscription fees that may deter small businesses
• Market Opportunities
  • Expanding market presence through educational partnerships and strategic alliances with leading universities
  • Leveraging influencer marketing and social media campaigns to attract small and medium-sized enterprises
  • Developing industry-specific AI solutions and tools tailored to niche markets within the no-code platform sector
• Market Challenges
  • Industry-specific challenge in the No-Code AI Platforms Market
  • Industry-specific challenge in the No-Code AI Platforms Market

Porter's Five Forces: A Strategic Tool for Navigating the No-Code AI Platforms Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the No-Code AI Platforms Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the No-Code AI Platforms Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the No-Code AI Platforms Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the No-Code AI Platforms Market

A detailed market share analysis in the No-Code AI Platforms Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the No-Code AI Platforms Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the No-Code AI Platforms Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the No-Code AI Platforms Market

A strategic analysis of the No-Code AI Platforms Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the No-Code AI Platforms Market, highlighting leading vendors and their innovative profiles. These include Adalo, Inc., Akkio Inc., Altair Engineering Inc., Amazon Web Services, Inc., Bubble Group, Inc., Caspio Inc., DataRobot, Inc., DeepLobe API, Evenly Odd, Inc., Formagrid Inc, Gathr Data Inc., Glide, Google LLC, Microsoft Corporation, OutSystems, Quickbase, Inc., Quixry Inc., Thunkable, Inc., Unqork, Voiceflow, Inc., Webflow, Inc., Writer, and Zapier Inc..

Market Segmentation & Coverage

This research report categorizes the No-Code AI Platforms Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Services and Solutions/Software.
• Based on Technology, market is studied across Computer Vision, Deep Learning, Natural Language Processing(NLP), and Predictive Analytics.
• Based on Module/Function, market is studied across Data Preparation & Analysis Modules, Model Building Modules, Visualization & Reporting Modules, and Workflow Automation Modules.
• Based on Organization Size, market is studied across Large Enterprise and Small & Medium Enterprise(SME).
• Based on Deployment, market is studied across Cloud and On-Premise.
• Based on End-User, market is studied across Business & Corporations, Education, Finance, Healthcare, IT & Telecommunications, Logistics & Transportation, and Marketing.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing demand for rapid application development and deployment without extensive coding knowledge requirements
    • 5.1.1.2. Growing need for businesses to leverage AI-driven insights and automation to stay competitive
    • 5.1.1.3. Rising cost of traditional software development and associated long development cycles
    • 5.1.1.4. Expanding integration of no-code AI platforms with existing business systems and workflows
  • 5.1.2. Restraints
    • 5.1.2.1. Concerns over data security and privacy issues associated with no-code AI platforms
    • 5.1.2.2. High initial costs and ongoing subscription fees that may deter small businesses
  • 5.1.3. Opportunities
    • 5.1.3.1. Expanding market presence through educational partnerships and strategic alliances with leading universities
    • 5.1.3.2. Leveraging influencer marketing and social media campaigns to attract small and medium-sized enterprises
    • 5.1.3.3. Developing industry-specific AI solutions and tools tailored to niche markets within the no-code platform sector
  • 5.1.4. Challenges
    • 5.1.4.1. Industry-specific challenge in the No-Code AI Platforms Market
    • 5.1.4.2. Industry-specific challenge in the No-Code AI Platforms Market
• 5.2. Market Segmentation Analysis
  • 5.2.1. Component: Emerging innovations in the solutions/software for no-code AI platforms
  • 5.2.2. End-User: Adoption of no-code AI platforms to drive data-driven decision-making in business and corporate settings
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. No-Code AI Platforms Market, by Component

• 6.1. Introduction
• 6.2. Services
• 6.3. Solutions/Software

7. No-Code AI Platforms Market, by Technology

• 7.1. Introduction
• 7.2. Computer Vision
• 7.3. Deep Learning
• 7.4. Natural Language Processing(NLP)
• 7.5. Predictive Analytics

8. No-Code AI Platforms Market, by Module/Function

• 8.1. Introduction
• 8.2. Data Preparation & Analysis Modules
• 8.3. Model Building Modules
• 8.4. Visualization & Reporting Modules
• 8.5. Workflow Automation Modules

9. No-Code AI Platforms Market, by Organization Size

• 9.1. Introduction
• 9.2. Large Enterprise
• 9.3. Small & Medium Enterprise(SME)

10. No-Code AI Platforms Market, by Deployment

• 10.1. Introduction
• 10.2. Cloud
• 10.3. On-Premise

11. No-Code AI Platforms Market, by End-User

• 11.1. Introduction
• 11.2. Business & Corporations
• 11.3. Education
• 11.4. Finance
• 11.5. Healthcare
• 11.6. IT & Telecommunications
• 11.7. Logistics & Transportation
• 11.8. Marketing

12. Americas No-Code AI Platforms Market

• 12.1. Introduction
• 12.2. Argentina
• 12.3. Brazil
• 12.4. Canada
• 12.5. Mexico
• 12.6. United States

13. Asia-Pacific No-Code AI Platforms Market

• 13.1. Introduction
• 13.2. Australia
• 13.3. China
• 13.4. India
• 13.5. Indonesia
• 13.6. Japan
• 13.7. Malaysia
• 13.8. Philippines
• 13.9. Singapore
• 13.10. South Korea
• 13.11. Taiwan
• 13.12. Thailand
• 13.13. Vietnam

14. Europe, Middle East & Africa No-Code AI Platforms Market

• 14.1. Introduction
• 14.2. Denmark
• 14.3. Egypt
• 14.4. Finland
• 14.5. France
• 14.6. Germany
• 14.7. Israel
• 14.8. Italy
• 14.9. Netherlands
• 14.10. Nigeria
• 14.11. Norway
• 14.12. Poland
• 14.13. Qatar
• 14.14. Russia
• 14.15. Saudi Arabia
• 14.16. South Africa
• 14.17. Spain
• 14.18. Sweden
• 14.19. Switzerland
• 14.20. Turkey
• 14.21. United Arab Emirates
• 14.22. United Kingdom

15. Competitive Landscape

• 15.1. Market Share Analysis, 2023
• 15.2. FPNV Positioning Matrix, 2023
• 15.3. Competitive Scenario Analysis
  • 15.3.1. Wipro Unveils Lab45 AI Platform: A Subscription-Based Service to Enhance Efficiency and Business Functions Using Advanced AI Technologies
  • 15.3.2. Autogon AI Secures Funding from Fast Forward Venture Studio to Democratize AI with User-Friendly Platform
  • 15.3.3. Assert AI Launches Pratham to Democratize Computer Vision and AI, Driving Innovation and Efficiency Across Multiple Industries
• 15.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Adalo, Inc.
• 2. Akkio Inc.
• 3. Altair Engineering Inc.
• 4. Amazon Web Services, Inc.
• 5. Bubble Group, Inc.
• 6. Caspio Inc.
• 7. DataRobot, Inc.
• 8. DeepLobe API
• 9. Evenly Odd, Inc.
• 10. Formagrid Inc
• 11. Gathr Data Inc.
• 12. Glide
• 13. Google LLC
• 14. Microsoft Corporation
• 15. OutSystems
• 16. Quickbase, Inc.
• 17. Quixry Inc.
• 18. Thunkable, Inc.
• 19. Unqork
• 20. Voiceflow, Inc.
• 21. Webflow, Inc.
• 22. Writer
• 23. Zapier Inc.