AI-ready cloud solutions market seen reaching $67.18 billion by 2030

The Business Research Company says the AI-ready cloud solutions market is expanding fast, rising from $22.08 billion in 2025 to a projected $27.66 billion in 2026. The report forecasts the market will hit $67.18 billion by 2030 as enterprise AI adoption, cloud migration and demand for low-latency processing accelerate.

Why it matters: - AI-ready cloud infrastructure is becoming a core layer for enterprises running AI and machine learning workloads. - The market’s growth reflects rising demand for scalable computing, faster data processing and more flexible AI deployment across cloud environments. - The forecast points to broader corporate spending on digital transformation, automation and AI optimization.

What happened: - The Business Research Company released its AI-Ready Cloud Solutions Global Market Report 2026, covering market size, trends and forecasts for 2026-2035. - The report estimates the market will rise from $22.08 billion in 2025 to $27.66 billion in 2026. - The report projects the market will reach $67.18 billion by 2030. - The report says the market is growing from enterprise cloud migration and broader AI and machine learning adoption. - The report also highlights greater use of big data analytics platforms and higher investment in digital transformation.

The details: - AI-ready cloud solutions are cloud-based infrastructure, platforms and services built for AI and machine learning development, deployment, training and operation. - These systems provide scalable computing power, high-performance data processing and integrated AI development frameworks. - They are designed to support model training, data storage, analytics and AI inference. - The report forecasts a 25.3% CAGR from 2025 to 2026 and a 24.8% CAGR through 2030. - The next phase of growth is expected to come from low-latency AI processing, edge AI and distributed intelligence systems. - Other expected drivers include cloud AI optimization tools, AI-driven automation, secure and explainable AI frameworks and multi-cloud AI workload management. - The market’s expansion is also tied to the surge in enterprise-generated structured and unstructured data. - Edge Delta estimated in March 2024 that global data production reached about 120 zettabytes, or roughly 337,080 petabytes per day. - Edge Delta also estimated that with 5.35 billion internet users worldwide, the average user generates about 15.87 terabytes of data each day. - The report includes analysis of Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, the Middle East and Africa. - North America held the largest share of the market in 2025. - Asia-Pacific is projected to post the fastest growth over the forecast period. - The report says its 2026 package includes market attractiveness scoring, TAM analysis, company scoring matrix graphics and tables, Excel-based forecasting dashboards, market hotspots infographics, and updated graphics and tables.

Between the lines: - The forecast suggests AI infrastructure demand is shifting from experimentation to operational scale. - Low-latency processing and multi-cloud management point to a market that is moving beyond basic cloud hosting toward specialized AI performance layers. - The data-growth narrative signals that storage, processing and governance needs may be just as important as model development in driving spending.

What's next: - Cloud vendors and enterprise buyers are likely to keep prioritizing AI-specific infrastructure as workloads become more distributed and performance-sensitive. - Regional competition may intensify as Asia-Pacific grows faster than North America. - The report’s forecast period through 2030 suggests continued market expansion if enterprise AI adoption and cloud migration stay on track.

The bottom line: - AI-ready cloud solutions are moving into a high-growth phase as enterprises need infrastructure built for AI workloads, large-scale data and real-time decision-making.