Cloud transformation is on course to generate as much as $3 trillion by 2030. Key to this shift is the emergence of artificial intelligence (AI)-enabled industry clouds, also called industry suites, that marry core infrastructure and applications with regulatory considerations to built-in industry-specific context, process capabilities, and workflows. These include health care industry clouds with embedded compliance and AI diagnostic tools, industry banking clouds with fraud detection and risk analytics, and utility industry clouds geared to support smart grid data and Internet of Things sensors.
Beyond workforce collaboration, analytics-driven real-time decision making, and other baseline improvements, AI-enabled industry clouds help enterprises access better insights, cut IT costs, and design more resilient and adaptive business models that are becoming increasingly essential to compete. The percentage of enterprises using industry-specific cloud platforms will rise to 70% by 2027 from just 15% in 2023, according to Gartner.
Many organizations remain in the early stages of scaling AI across enterprise operations, according to McKinsey research.
“AI is no longer a future bet—it’s a present-day business driver,” says Tim Hatton, VP–Strategic Partner Management at Oracle. “Organizations are moving beyond isolated AI experiments and embedding AI into core operational processes. The focus is increasingly on measurable results, operational efficiency, and faster time to value.”
