Chicago, July 03, 2024 (GLOBE NEWSWIRE) -- The No-code AI Platforms Market is expected to grow from USD 4.9 billion in 2024 to USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period, according to a new report by MarketsandMarkets™. Browse in-depth TOC on "No-code AI Platforms Market" 265 - Tables 75 - Figures 375 - Pages Download Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=241336240 No-code AI Platforms Market Dynamics: Drivers: Rapid Prototyping and Experimentation Democratization of AI Development Focus on User Experience Improved Decision-Making Restraints: Limited Customization Options Inflexibility for Unique Requirements Mismatch Between Capabilities and User Requirements Opportunities: Streamlining Operations Improved Operational Efficiency Global Market Expansion List of Key Players in No-code AI Platforms Market: IBM (US) Microsoft (US) Google (US) AWS (US) Salesforce (US) C3 AI (US) H2O. ai (US) Qlik (US) Clarifai (US) DataRobot (US) Request Sample Pages@ https://www.marketsandmarkets.com/requestsampleNew.asp?id=241336240 No-code AI democratizes access to artificial intelligence, stimulating innovation and bolstering problem-solving capabilities across diverse user bases. This approach enables the creation of customized AI applications tailored to specific challenges, leveraging the insights and perspectives of its varied users. Collaboration within this inclusive environment enhances the development of AI solutions, ensuring they precisely align with business needs. Consequently, organizations can deploy innovative applications that effectively leverage AI to drive efficiency and growth. By eliminating technical barriers, no-code AI platforms empower a broader range of professionals to contribute to and benefit from the transformative potential of artificial intelligence in practical, impactful ways. Based on the offering, the market is further categorized into solutions and services. The solutions segment is sub-segmented by type into reporting & visualization tools, AutoML platforms, and automation platforms (flow builder tools, conversational AI building tools, business process automation tools, and others), other solutions and by deployment mode into cloud, and on-premises. Also, the services segment is further divided into managed services and professional services. Further, the professional services is divided into ...