AI Inference Platform-as-a-Service (PaaS) Market worth $105.22 billion by 2030 – Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., Oct. 3, 2025 — The global AI inference PaaS market is anticipated to be valued at USD 18.84 billion in 2025 and USD 105.22 billion by 2030, registering a CAGR of 41.1% during the forecast period, according to a new report by MarketsandMarkets. Growth is driven by the surging adoption of generative AI and large language models (LLMs), which require scalable, low-latency infrastructure for real-time deployment. As enterprises shift to cloud-native AI architectures, PaaS providers are emerging as critical enablers by offering flexible, cost-efficient, high-performance inference environments. Integration of inference capabilities with industry-specific SaaS platforms is expanding use cases across finance, retail, and healthcare, accelerating market adoption.
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Report Snapshot
AI Inference Platform-as-a-Service (PaaS) Market — Scope:
| Report Coverage | Details |
|---|---|
| Market Revenue in 2025 | $18.84 billion |
| Estimated Value by 2030 | $105.22 billion |
| Growth Rate | CAGR of 41.1% |
| Market Size Available for | 2021–2030 |
| Forecast Period | 2025–2030 |
| Forecast Units | Value (USD Million/Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | By Deployment, Application, Vertical and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and Rest of World |
| Key Market Challenge | Latency and bandwidth issues in cloud-only setups |
| Key Market Opportunities | On-demand inference availability for SMEs and startups |
| Key Market Drivers | Surging adoption of generative AI and large language models |
Highlights
By deployment, the public cloud segment is projected to account for the largest market share in 2025.
Public cloud’s scalability, cost efficiency, and broad access make it the preferred choice for large-scale AI inference workloads. Hyperscalers such as AWS, Microsoft Azure, and Google Cloud provide advanced GPU/TPU resources, managed inference services, pre-trained APIs, and pay-as-you-go models that attract enterprises, SMEs and startups. These capabilities support generative AI, NLP, and computer vision applications, driving public cloud adoption for inference PaaS.
IT & telecom segment — high CAGR from 2025 to 2030.
The IT and telecom sector is expected to register the highest CAGR in the forecast period, driven by digitization, 5G rollout, and demand for AI-enabled customer experience management. Telecom operators use inference PaaS for network optimization, traffic prediction, and real-time analytics, while IT service providers use it to scale AI-enabled cloud services, bolster cybersecurity, and support enterprise deployments. Edge computing integration unlocks low-latency applications such as autonomous networks and IoT analytics.
Regional outlook: North America is expected to account for the largest market share in 2030.
North America’s leadership is supported by advanced cloud infrastructure, major hyperscalers, and early enterprise AI adoption. The US leads the region with AWS, Microsoft, and Google offering robust inference services tailored to generative AI, machine learning, and computer vision. Sectors such as BFSI, healthcare, and media & entertainment are heavy adopters for fraud detection, medical imaging, personalized recommendations, and real-time analytics. Regulatory frameworks (for example, NIST AI Risk Management Framework) and growing hybrid/multi-cloud and sovereign AI initiatives also influence adoption and deployment strategies.
Key Players
Key companies include Microsoft (US), Amazon Web Services, Inc. (US), Google (US), Oracle (US), and IBM (US).
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SOURCE: MarketsandMarkets