No-Code AI Platforms Market Anticipated to Grow to USD 78.36 Billion by 2031 | Key Players: Google (Vertex AI), Amazon (SageMaker Canvas), Microsoft (Azure AI), Dataiku, and H2O.AI.

USA, New Jersey: Verified Market Research reports that the global No-Code AI Platforms Market size was valued at USD 8.50 Billion in 2024 and is projected to reach USD 78.36 Billion by 2032 growing at a CAGR of 32.00% from 2025 to 2032.

No-Code AI Platforms Market 2025-2033: Opportunities, Trends & Pricing Analysis
The global No-Code AI Platforms Market from 2025 to 2033 is witnessing strong momentum as organizations accelerate digital transformation and citizen development initiatives. Over 55-65% of small and mid-sized enterprises are projected to deploy at least one no-code AI tool for automation, data analytics, or customer engagement by 2028. Growth is driven by increased demand for democratized AI, reduced dependency on professional data scientists, and integration across industries such as finance, healthcare, and retail. Key opportunities include workflow automation, predictive analytics, and computer vision applications. The expansion of pre-trained model libraries and drag-and-drop AI builders has reduced project deployment timelines by 40-60%, enabling non-technical users to create scalable models. North America and Europe maintain leadership through enterprise AI adoption, while Asia-Pacific exhibits the fastest regional growth due to cloud-native startups and government-led AI innovation programs.

Pricing dynamics are evolving as platforms adopt flexible usage tiers and subscription-based access models. Entry-level plans for small businesses typically range between $10-$150 per user per month, while enterprise-scale licenses extend from $1,000 to $25,000 annually depending on compute usage and data volume. Pay-per-deployment and consumption-based pricing are gaining traction for scalability-focused users. Roughly 45% of organizations prefer subscription bundles that integrate data preparation, model training, and deployment under one plan to streamline total cost of ownership. Advanced analytics and explainability modules contribute an average 25-35% cost premium over standard plans. From 2025-2033, market trends highlight hybrid AI automation suites, real-time edge AI capabilities, and governance-driven compliance layers as the next competitive differentiators for sustainable growth.

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The competitive landscape of a market explains strategies incorporated by key players of the No-Code AI Platforms Market. Key developments and shifts in management in recent years by players have been explained through company profiling. This helps readers to understand the trends that will accelerate the growth of the No-Code AI Platforms Market. It also includes investment strategies, marketing strategies, and product development plans adopted by major players of the No-Code AI Platforms Market. The market forecast will help readers make better investments.

The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:



Google (Vertex AI)
Amazon (SageMaker Canvas)
Microsoft (Azure AI)
Dataiku
and H2O.AI.


No-Code AI Platforms Market Segmentation

By Deployment Type

•Cloud-based SCM Software
• On-premises SCM Software

By Application

•Procurement & Sourcing
• Inventory & Warehouse Management

By Geography

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

The comprehensive segmental analysis offered in the report digs deep into important types and application segments of the No-Code AI Platforms Market. It shows how leading segments are attracting growth in the No-Code AI Platforms Market. Moreover, it includes accurate estimations of the market share, CAGR, and market size of all segments studied in the report.

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The regional segmentation study is one of the best offerings of the report that explains why some regions are taking the lead in the No-Code AI Platforms Market while others are making a low contribution to the global market growth. Each regional market is comprehensively researched in the report with accurate predictions about its future growth potential, market share, market size, and market growth rate.

Geographic Segment Covered in the Report:

• North America (USA and Canada)
• Europe (UK, Germany, France and the rest of Europe)
• Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)
• Latin America (Brazil, Mexico, and the rest of Latin America)
• Middle East and Africa (GCC and rest of the Middle East and Africa)

Key questions answered in the report:

• What is the growth potential of the No-Code AI Platforms Market?
• Which product segment will take the lion's share?
• Which regional market will emerge as a pioneer in the years to come?
• Which application segment will experience strong growth?
• What growth opportunities might arise in the Market in the years to come?
• What are the most significant challenges that the No-Code AI Platforms Market could face in the future?
• Who are the leading companies on the No-Code AI Platforms Market?
• What are the main trends that are positively impacting the growth of the market?
• What growth strategies are the players considering to stay in the No-Code AI Platforms Market?

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