AI Platforms Market $292B by 2030, Mapping Risks & Bull Market Scenarios

Austin, Texas, USA, December 2, 2025

Futurum reveals findings from new AI Platforms market research. The base forecast shows a surge to $292B by 2030, with bull and bear scenarios mapping opportunities and risks such as inference, agentic AI, and talent gaps.

According to the base forecast from new research by The Futurum Group, the global AI Platforms market is projected to scale from $24.9 billion in 2024 to $292 billion by 2030, growing at an approximately 50.8% CAGR.

The “2H 2025 AI Platforms Market Sizing & Five-Year Forecast” report identifies that this explosive expansion reflects the enterprise mainstreaming of model training, inference, and agentic application enablement across all verticals.

Figure 1: AI Platform Market Growth Scenarios (2025-2030)

The report provides three independent trajectories for the market: a Bull scenario ($819.4 billion), the Base forecast ($292.0 billion), and a Bear scenario ($155.1 billion). These scenarios reflect different outcomes based on four key drivers: the pace of decline in training and inference costs, which impacts ROI and adoption; the availability of skilled talent and mature partner ecosystems, boosting enterprise application development; the predictability of regulation and governance, which unlocks or hinders regulated sectors; and the adequacy of data center and power capacity, enabling or constraining growth due to GPU supply, grid capacity, and cloud coverage.

Nick Patience, VP & AI Practice Lead at Futurum, said, “This explosive market expansion, projecting a 50.8% CAGR to $292B in our base case, shows enterprises are moving AI from experimentation to mainstream deployment. We’re seeing a clear shift where inference workloads are set to overtake training revenue by 2026, and privacy-driven hybrid and edge deployments are surging”.

The research reveals several key developments shaping the AI platforms landscape:

• Inference Overtakes Training: By 2026, inference workloads (e.g., copilots, agents) will drive most revenue growth.
• Hybrid and Edge Resurgence: Privacy, latency, and efficiency needs fuel a shift to hybrid and edge deployments, projected to grow significantly between 2026 and 2028.
• Fastest Growing Vendors: While US hyperscalers capture most early revenue, vendors such as OpenAI and Anthropic demonstrate extremely high growth potential in the base forecast.
• Top Use Cases: Code Generation and Developer Assistance are projected to have the strongest sustained CAGR, driven by clear, measurable productivity gains for enterprise developers.
• Regional Dynamics: North America maintains the early lead, but APAC shows the fastest initial growth, driven by large-scale, government-led investment programs.
• Market Constraints: Systemic constraints, including AI skills scarcity and data center bottlenecks, are key factors shaping the different forecast scenarios.

“The findings underscore a clear trend toward enterprise mainstreaming of AI,” noted Patience.

“While early revenue is largely captured by hyperscalers such as Microsoft, AWS, and Google, the vendor landscape is rapidly diversifying. Independent platforms and specialists in other areas are experiencing accelerated growth as enterprise needs for data governance and multi-cloud architectures mature.

Read more in the “2H 2025 AI Platforms Market Sizing & Five-Year Forecast Report” on the Futurum Intelligence Platform. Non-subscribers can click here for more information.

About Futurum Intelligence for Market Leaders

Futurum Intelligence’s AI Platforms IQ service provides actionable insight from analysts, reports, and interactive visualization datasets, helping leaders drive their organizations through transformation and business growth. Subscribers can log into the platform at https://app.futurumgroup.com/, and non-subscribers can find additional information at Futurum Intelligence.

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