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表紙：ノーコード人工知能（AI）プラットフォームの世界市場：2023-2030年
市場調査レポート
商品コード
1380262

ノーコード人工知能（AI）プラットフォームの世界市場：2023-2030年

Global No-code Artificial Intelligence (AI) Platform Market 2023-2030

出版日
ページ情報
英文 205 Pages
納期
2～3営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.82円
ノーコード人工知能（AI）プラットフォームの世界市場：2023-2030年
出版日: 2023年09月26日
発行: Orion Market Research
ページ情報: 英文 205 Pages
納期: 2～3営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界のノーコード人工知能（AI）プラットフォーム市場は、予測期間（2023-2030年）にCAGR 27.3％で成長すると予測されます。市場の成長は、世界中の生産性スイートとSaaSアプリケーションの強化に起因しています。既存のSaaSアプリケーションの管理、セキュリティ、機能性を向上させるニーズの高まりは、AWS AppFabricのような製品によって対処されており、これらのプラットフォームをさらに最適化するためのノーコード人工知能（AI）プラットフォームの開発を促しています。例えば、2023年6月、Amazon.com, Inc.は、セキュリティ、管理、生産性の向上により、企業のSaaS（Software-as-a-Service）アプリケーションへの既存の投資を強化するノーコードサービスであるAWS AppFabricを開始しました。AppFabricにより、ITおよびセキュリティチームは、SaaSアプリケーションおよび生産性スイートの有効性を向上させることができます。AppFabricは、さまざまなソースからログデータを収集および整理し、個々の統合を作成および維持するコストを削減します。将来的には、AppFabricにAmazon Bedrockによる生成AI機能が追加され、言語モデルと共通APIレイヤーのデータを使用して、提案の提供、タスクの実行、洞察の生成が行われる予定です。

セグメント別の展望

世界のノーコード人工知能（AI）プラットフォーム市場では、ヘルスケアサブセグメントが大きく成長すると予測されます。

業界別では、ヘルスケアサブセグメントが予測期間中に大きく成長すると予測されています。このセグメントの成長は、健康データの管理を簡素化することに起因しています。健康データは複雑であるため、その取り扱いプロセスを簡素化するソリューションが望まれてきました。データ管理は、ノーコード・プラットフォームによって合理化され、ヘルスケア従事者のアクセスと活用が容易になります。

地域別展望

世界のノーコード人工知能（AI）プラットフォーム市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、中南米）を含む地域別にさらに細分化されます。

世界のノーコード人工知能（AI）プラットフォーム市場では北米地域が大幅なCAGRで成長する見込み

すべての地域の中で、北米地域は予測期間中にかなりのCAGRで成長すると予測されています。同地域の成長は、同地域における技術適応の高まりに起因しています。長年にわたり、金融サービス部門は技術的進歩において革新的であり、顧客体験と業務効率を改善するための新しいツールとソリューションの利点を可能にするために継続的に適応してきました。2023年9月のET BFSIによると、銀行・金融サービス・保険（BFSI）セクターは長年にわたり技術変化に適応してきました。利便性、スピード、顧客中心主義に対する顧客の期待が高まるにつれ、イノベーションの必要性がより重要になってきました。ローコード開発と人工知能（AI）です。インドは金融イノベーションの拠点となっており、FinTech新興企業は2022年に多額の資本を調達しています。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • ノーコード人工知能（AI）プラットフォームの世界市場：技術別
    • 自然言語処理（NLP）
    • コンピュータビジョン
    • 機械学習
    • その他（ユーザーインターフェース（UI）、データ統合・ETL）
  • ノーコード人工知能（AI）プラットフォームの世界市場：展開形態別
    • クラウド
    • オンプレミス
  • ノーコード人工知能（AI）プラットフォームの世界市場：企業規模別
    • 中小企業
    • 大企業
  • ノーコード人工知能（AI）プラットフォームの世界市場：業界別
    • BFSI
    • ヘルスケア
    • 小売・eコマース
    • IT・テレコム
    • エネルギー・ユーティリティ
    • 政府・公共部門
    • その他（マーケティング・広告、通信、教育）

第5章 地域分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • 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.
図表

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)
目次
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.