No-Code Artificial Intelligence (AI) Platform Market 2023 Driving Factors Forecast Research 2029

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.

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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.

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• Market Coverage
• Market number available for - 2023-2029
• Base year- 2022
• Forecast period- 2023-2029
• Segment Covered- By Source, By Product Type, By Applications
• Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
• Inc., and others

Market Segmentation
Global No-Code AI Platform Market by Technology
o Natural Language Processing (NLP)
o Computer Vision
o Machine Learning
o Others (User Interface (UI), and Data Integration and ETL)

Global No-Code AI Platform Market by Deployment Mode
o Cloud
o On-Premises

Global No-Code AI Platform Market by Enterprise size
o SMEs
o Large Enterprises

Global No-Code AI Platform Market by Vertical
o BFSI
o Healthcare
o Retail & E-Commerce
o IT & Telecom
o Energy & Utilities
o Government & Public Sector
o Others (Marketing and Advertising, Telecommunications, and Education)

Regional Analysis
o North America
o United States
o Canada
o Europe
o UK
o Germany
o Italy
o Spain
o France
o Rest of Europe
o Asia-Pacific
o China
o India
o Japan
o South Korea
o Rest of Asia-Pacific
o Rest of the World

Company Profiles
o AgilePoint Inc
o Akkio Inc
o Amazon.com, Inc.
o Apple
o Appy Pie
o Builder.ai
o Cogniflow AI, Inc.
o DataRobot
o Google, LLC
o Levity AI GmbH
o Microsoft Corp.
o MonkeyLearn Inc.
o nocode.ai
o Obviously AI, Inc.
o Quickbase, Inc.

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.

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