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2023-2030 年全球無程式碼人工智慧 (AI) 平台市場
市場調查報告書
商品編碼
1380262

2023-2030 年全球無程式碼人工智慧 (AI) 平台市場

Global No-code Artificial Intelligence (AI) Platform Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 205 Pages | 商品交期: 2-3個工作天內

價格

細分市場前景

全球無程式碼人工智慧平台市場按技術、部署、企業規模和垂直領域進行細分。根據技術，市場細分為自然語言處理（NLP）、電腦視覺、機器學習等。根據部署，市場分為雲端和本地。依企業規模，市場分為中小企業和大型企業。此外，根據垂直領域，市場細分為 BFSI、醫療保健、零售和電子商務、IT 和電信、能源和公用事業、政府和公共部門等。自然語言處理 (NLP) 子類別預計將佔據技術領域的很大一部分市場佔有率。這歸功於NLP的使用，人工智慧系統可以理解和翻譯人類語言。透過將 NLP 嵌入無程式碼 AI 平台，使用者可以開發能夠理解用戶輸入並永續、透明地做出相應回應的應用程式。

預計醫療保健細分市場將在全球無程式碼人工智慧平台市場中顯著成長

在垂直行業中，醫療保健細分市場預計在預測期內將大幅成長。細分市場的成長歸因於健康資料管理的簡化。由於健康資料的複雜性，人們一直希望找到能夠簡化其處理過程的解決方案。無程式碼平台簡化了資料管理，使醫療保健從業人員更容易存取和使用。

區域展望

全球無代碼人工智慧平台市場根據地理位置進一步細分，包括北美（美國和加拿大）、歐洲（英國、義大利、西班牙、德國、法國和歐洲其他地區）、亞太地區（印度、中國、日本、韓國和亞洲其他地區）以及世界其他地區（中東和非洲以及拉丁美洲）。

北美地區預計全球無程式碼人工智慧平台市場將以顯著的複合CAGR成長

在所有地區中，北美地區預計在預測期內將以相當大的CAGR成長。區域成長歸因於該地區不斷增強的技術適應能力。多年來，金融服務業一直在技術進步方面不斷創新，不斷適應新工具和解決方案的優勢，以改善客戶體驗和營運效率。根據 ET BFSI 的數據，2023 年 9 月，銀行、金融服務和保險（BFSI）產業多年來一直在適應技術變革。隨著客戶對便利性、速度和以客戶為中心的期望不斷成長，對創新的需求變得更加重要。在這個不斷發展的環境中，兩項變革性技術被認為是遊戲規則的改變者：低程式碼開發和人工智慧 (AI)。印度已成為金融創新中心，金融科技新創公司將在 2022 年籌集大量資金。

市場參與者展望

服務無程式碼人工智慧平台市場的主要公司包括：蘋果、AWS、微軟、Google等。市場參與者透過各種策略（包括併購、合作、合作、融資和新產品發布），為市場成長做出了巨大貢獻，以保持市場競爭力。例如，2023 年8 月，Akkio 宣布完成了由Bain Capital Ventures (BCV) 和Pandome, Inc. 參與的1500 萬美元A 輪融資。這筆資金加速了Akkio 強大、易於使用且價格實惠的人工智慧的商業化平台。

報告涵蓋：

  • 2022年市場價​​值資料分析及2030年預測。
  • 每個細分市場的年化市場收入（百萬美元）。
  • 主要地理區域的國家分析。
  • 在全球無程式碼人工智慧平台市場營運的主要公司。根據現有資料，報告中還提供了與新產品發布相關的資訊以及相關新聞。
  • 透過確定未來強勁成長的關鍵細分市場來分析業務策略。
  • 市場進入和市場擴張策略分析。
  • 透過識別市場中「誰的立場」來制定競爭策略。

目錄

第 1 章：報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 按細分
    • 按地區

第 2 章：市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要發現
    • 建議
    • 結論

第 3 章：競爭格局

  • 主要公司分析
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • 關鍵策略分析

第 4 章：市場細分

  • 按技術分類的全球無程式碼人工智慧平台市場
    • 自然語言處理（NLP）
    • 電腦視覺
    • 機器學習
    • 其他（使用者介面 (UI)、資料整合和 ETL）
  • 按部署模式分類的全球無程式碼人工智慧平台市場
    • 雲
    • 本地部署
  • 按企業規模分類的全球無程式碼人工智慧平台市場
    • 中小企業
    • 大型企業
  • 全球無程式碼人工智慧平台市場（按垂直領域）
    • BFSI
    • 衛生保健
    • 零售與電子商務
    • 資訊科技與電信
    • 能源與公用事業
    • 政府及公部門
    • 其他（行銷和廣告、電信和教育）

第 5 章：區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區

第 6 章：公司簡介

  • AgilePoint Inc
  • Akkio Inc
  • Amazon.com, Inc.
  • Apple
  • Appy Pie
  • Builder.ai
  • Cogniflow AI, Inc.
  • DataRobot
  • Google, LLC
  • Levity AI GmbH
  • Microsoft Corp.
  • MonkeyLearn Inc.
  • nocode.ai
  • Obviously AI, Inc.
  • Quickbase, Inc.
Product Code: OMR2027812

Title: Global No-Code Artificial Intelligence (AI) Platform Market Size, Share & Trends Analysis Report by Technology (Natural Language Processing (NLP), Computer Vision, Machine Learning, and Others), by Deployment (Cloud, and On-premises), by Enterprise Size (SMEs, and Large Enterprises), and by vertical (BFSI, Healthcare, Retail & E-Commerce, IT & Telecom, Energy & Utilities, Government & Public Sector, and Others),Forecast Period (2023-2030).

Global no-code AI platform market is anticipated to grow at a CAGR of 27.3 % during the Forecast Period (2023-2030). The market's growth is attributed to enhancing productivity suites and SaaS applications across the globe. The increasing need to improve the management, security, and functionality of existing SaaS applications has been addressed by products such as AWS AppFabric, which encourages the development of no-code AI platforms to further optimize these platforms. For instance, in June 2023, Amazon.com, Inc. launched AWS AppFabric, a no-code service that enhances companies' existing investment in software-as-a-service (SaaS) applications with improved security, management, and productivity. AppFabric allows IT and security teams to improve the effectiveness of SaaS applications and productivity suites. It collects and organizes log data from various sources and reduces the cost of creating and maintaining individual integrations. In the future, AppFabric will additionally include a generative AI feature powered by Amazon Bedrock, that uses language models and data from the common API layer to provide suggestions, execute tasks, and generate insights.

Segmental Outlook

The global no-code AI platform market is segmented on the technology, deployment, enterprise size, and vertical. Based on the technology, the market is sub-segmented natural language processing (NLP), computer vision, machine learning, and others. Based on the deployment, the market is sub-segmented into cloud, and on-premises. Based on the enterprise size, the market is sub-segmented into SMEs and large enterprises. Furthermore, based on vertical, the market is sub-segmented into BFSI, healthcare, retail & e-commerce, it & telecom, energy & utilities, government & public sector, and others. The natural language processing (NLP) subcategory is expected to capture a significant portion of the market share within the technology segment. This is attributed to the use of NLP, AI systems can comprehend and translate human language. By embedding NLP with no-code AI platforms, users can develop applications that understand user inputs and respond accordingly sustainably and transparently.

The Healthcare Sub-Segment is Anticipated to Grow significantly in the Global No-code AI Platform Market

Among the verticals, the healthcare sub-segment is expected to grow considerably during the forecast period. The segmental growth is attributed to simplifying the management of health data. There has been a desire for solutions to simplify the process of handling health data owing to its complexity. Data administration is streamlined by no-code platforms, making it easier for healthcare practitioners to access and utilize.

Regional Outlook

The global no-code AI platform market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America).

The North America Region is Expected to Grow at a Significant CAGR in the Global No-code AI Platform Market

Among all regions, the North American region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the rising technological adaptation in the region. For years, the financial services sector has been innovative in technological advancement, continuously adapting to enable the advantage of new tools and solutions to improve client experiences and operational effectiveness. According to the ET BFSI, in September 2023, the banking, financial services, and insurance (BFSI) sector has been adapting to technological change for many years. As customer expectations for convenience, speed, and customer-centricity have grown, the need for innovation has become more important. Two transformative technologies have been identified as game-changers in this ever-evolving landscape: low-code development and artificial intelligence (AI). India has become a hub for financial innovation, with FinTech startups raising a significant amount of capital in 2022.

Market Players Outlook

The major companies serving the no-code AI platform market include: Apple, AWS, Microsoft, Google, and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in August 2023, Akkio announced that it had closed a $15M Series A with participation by Bain Capital Ventures (BCV) and Pandome, Inc. The funding accelerates the commercialization of Akkio's powerful, easy-to-use, and affordable AI platform.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global no-code AI platform market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
    • 3.1.1. Overview
    • 3.1.2. Financial Analysis
    • 3.1.3. SWOT Analysis
    • 3.1.4. Recent Developments
  • 3.2. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global No-Code AI Platform Market by Technology
    • 4.1.1. Natural Language Processing (NLP)
    • 4.1.2. Computer Vision
    • 4.1.3. Machine Learning
    • 4.1.4. Others (User Interface (UI), and Data Integration and ETL)
  • 4.2. Global No-Code AI Platform Market by Deployment Mode
    • 4.2.1. Cloud
    • 4.2.2. On-Premises
  • 4.3. Global No-Code AI Platform Market by Enterprise size
    • 4.3.1. SMEs
    • 4.3.2. Large Enterprises
  • 4.4. Global No-Code AI Platform Market by Vertical
    • 4.4.1. BFSI
    • 4.4.2. Healthcare
    • 4.4.3. Retail & E-Commerce
    • 4.4.4. IT & Telecom
    • 4.4.5. Energy & Utilities
    • 4.4.6. Government & Public Sector
    • 4.4.7. Others (Marketing and Advertising, Telecommunications, and Education)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. AgilePoint Inc
  • 6.2. Akkio Inc
  • 6.3. Amazon.com, Inc.
  • 6.4. Apple
  • 6.5. Appy Pie
  • 6.6. Builder.ai
  • 6.7. Cogniflow AI, Inc.
  • 6.8. DataRobot
  • 6.9. Google, LLC
  • 6.10. Levity AI GmbH
  • 6.11. Microsoft Corp.
  • 6.12. MonkeyLearn Inc.
  • 6.13. nocode.ai
  • 6.14. Obviously AI, Inc.
  • 6.15. Quickbase, Inc.

LIST OF TABLES

  • 1. GLOBAL NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 2. GLOBAL NLP BASED NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL COMPUTER VISION BASED NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL MACHINE LEARNING BASED NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL OTHERS NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 7. GLOBAL CLOUD-BASED NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL ON-PREMISES-BASED NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY ENTERPRISE SIZE, 2022-2030 ($ MILLION)
  • 10. GLOBAL NO-CODE AI PLATFORM BY SMES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL NO-CODE AI PLATFORM BY LARGE ENTERPRISES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY VERTICAL , 2022-2030 ($ MILLION)
  • 13. GLOBAL NO-CODE AI PLATFORM FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL NO-CODE AI PLATFORM FOR HEALTHCARE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL NO-CODE AI PLATFORM FOR RETAIL & E-COMMERCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL NO-CODE AI PLATFORM FOR IT & TELECOM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL NO-CODE AI PLATFORM FOR ENERGY & UTILITIES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL NO-CODE AI PLATFORM FOR GOVERNMENT & PUBLIC SECTOR MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. GLOBAL NO-CODE AI PLATFORM FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 20. GLOBAL NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 21. NORTH AMERICAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 22. NORTH AMERICAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 23. NORTH AMERICAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 24. NORTH AMERICAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY ENTERPRISE SIZE, 2022-2030 ($ MILLION)
  • 25. NORTH AMERICAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 26. EUROPEAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 27. EUROPEAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 28. EUROPEAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 29. EUROPEAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY ENTERPRISE SIZE, 2022-2030 ($ MILLION)
  • 30. EUROPEAN NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)
  • 31. ASIA- PACIFIC NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 32. ASIA- PACIFIC NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 33. ASIA- PACIFIC NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 34. ASIA- PACIFIC NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY ENTERPRISE SIZE, 2022-2030 ($ MILLION)
  • 35. ASIA- PACIFIC NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY VERTICAL , 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2022-2030 ($ MILLION)
  • 37. REST OF THE WORLD NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 38. REST OF THE WORLD NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY ENTERPRISE SIZE, 2022-2030 ($ MILLION)
  • 39. REST OF THE WORLD NO-CODE AI PLATFORM MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL NO-CODE AI PLATFORM MARKET SHARE BY TECHNOLOGY, 2022 VS 2030 (%)
  • 2. GLOBAL NLP BASED NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL COMPUTER VISION BASED NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL MACHINE LEARNING BASED NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 5. GLOBAL OTHERS NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL NO-CODE AI PLATFORM MARKET SHARE BY DEPLOYMENT, 2022 VS 2030 (%)
  • 7. GLOBAL CLOUD-BASED NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL ON-PREMISES-BASED NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL NO-CODE AI PLATFORM MARKET SHARE BY ENTERPRISE SIZE, 2022 VS 2030 (%)
  • 10. GLOBAL NO-CODE AI PLATFORM BY SMES MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL NO-CODE AI PLATFORM BY LARGE ENTERPRISES MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL NO-CODE AI PLATFORM MARKET SHARE BY VERTICAL, 2022 VS 2030 (%)
  • 13. GLOBAL NO-CODE AI PLATFORM FOR BFSI MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL NO-CODE AI PLATFORM FOR HEALTHCARE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL NO-CODE AI PLATFORM FOR RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL NO-CODE AI PLATFORM FOR IT & TELECOM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL NO-CODE AI PLATFORM FOR ENERGY & UTILITIES MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL NO-CODE AI PLATFORM FOR GOVERNMENT & PUBLIC SECTOR MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL NO-CODE AI PLATFORM FOR OTHER VERTICAL S MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 20. GLOBAL NO-CODE AI PLATFORM MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 21. US NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. CANADA NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. UK NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. FRANCE NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. GERMANY NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. ITALY NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. SPAIN NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. REST OF EUROPE NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. INDIA NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. CHINA NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. JAPAN NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. SOUTH KOREA NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. REST OF ASIA-PACIFIC NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD NO-CODE AI PLATFORM MARKET SIZE, 2022-2030 ($ MILLION)