Index Insider: Enterprises Re-evaluate Cloud Ecosystem to Align with AI
Global XaaS bookings dipped 11% during 2023. This was a sign of a maturing cloud market.
ISG delivers data-driven analysis and actionable recommendations to help higher education clients further student achievement and success.
Leaders of colleges, universities and academic medical centers face the extraordinary challenge of guiding institutions toward their missions even as they are buffeted by the external and internal forces of change: new business models, changing demographics,
shifts in funding and an onslaught of regulation.
ISG understands these challenges because our experienced team of experts has been guiding higher education and academic medical center clients to successful outcomes in this environment for years. We deliver data-driven analysis and specific, actionable
recommendations to clients looking to enhance recruiting and retention, improve the patient experience, transition to more effective and efficient service delivery or move enterprise applications to the cloud.
AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.
We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.
We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.
We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.
We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.
We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.
We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.
AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.
ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve
The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.
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Learn MoreWe deliver data-driven analysis and specific, actionable recommendations to institutions of higher education looking to enhance recruiting and retention, improve the student experience, transition to more effective and efficient service delivery or move enterprise applications to the cloud.
Enterprises are required to expand their service management capabilities beyond IT to a more comprehensive, enterprise-wide perspective – leading to a shift in focus toward enhancing legacy ITSM solutions to ESM implementations. Enterprises now consider ESM as a long-term strategy that will have a significant impact across several business areas in the coming years.
Although most organizations have already been using data analytics in some form, several lacked the necessary skill set and expertise to deploy a holistic strategy for better managing their data. We compare services and partners in four key areas: data science, data engineering, infrastructure and cloud integration and data lifecycle management.