AI adoption accelerates as companies refine workload placement and cost governance across hybrid environments, ISG Provider Lens^® report says

U.S. enterprises are implementing AI in public cloud environments to improve the productivity and efficiency of core business operations, according to a new research report published today by Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm.

The 2025 ISG Provider Lens^® Multi Public Cloud Services report for the U.S. finds that organizations are using cloud-native AI tools to reduce development complexity and shorten time to value as they modernize data pipelines and automate workflows. Many companies are adopting operating models that support distributed AI workloads across hybrid environments, gaining flexibility while working to meet new requirements for performance, compliance and governance.

“AI is becoming central to cloud strategies as enterprises seek simpler development and faster outcomes,” said Anay Nawathe, ISG cloud delivery lead for the Americas. “Companies in the U.S. want predictable operations that support AI at scale without adding cost or complexity.”

U.S. enterprises are refining the placement of workloads to control the growth of AI consumption on cloud platforms, the report says. They carefully locate training, inference and data preparation tasks to reduce egress costs and improve application latency. This helps companies align capacity planning with data adjacency and developer workflows across diverse systems. Many organizations place training near curated data and locate inference close to users or machines to maintain performance and reliability.

Cost governance has become a primary focus as AI workloads increase, ISG says. Companies are treating budget requirements as design inputs and integrating financial controls into pipelines to avoid waste. Techniques such as quantization and selective caching reduce GPU use while maintaining accuracy. Moving preprocessing to CPU resources preserves accelerators’ capacity for critical tasks. These steps help organizations manage cost per transaction while meeting reliability and latency expectations.

GenAI adoption in the U.S. remains limited as companies advance only high-accuracy use cases into production, the report says. Many enterprises run structured proof-of-concept programs with strict rules for problem framing, testing and ownership of data and risk. This approach reduces uncertainty and channels investment toward applications with measurable outcomes. It also supports disciplined scaling as companies standardize requirements for performance, governance and oversight.

“Enterprises that succeed with GenAI keep the scope of implementations tight and the quality high,” said Shashank Rajmane, principal analyst, ISG Provider Lens Research, and lead author of the report. “Providers help them move from experimentation to production with clear controls and consistent execution.”

The report also explores other trends in public cloud use, including providers’ use of agentic AI systems for governance and orchestration and the integration of sustainability metrics into cost and resource planning.

For more insights into the cloud-related challenges faced by enterprises in the U.S., plus ISG’s advice for overcoming them, see the ISG Provider Lens^® Focal Points briefing here.

The 2025 ISG Provider Lens^® Multicloud Platform and Cloud Services report for the U.S. evaluates 63 providers across seven quadrants: Consulting and Transformation Services — Large Accounts, Consulting and Transformation Services — Midmarket, Managed Services — Large Accounts, Managed Services — Midmarket, FinOps Services and AI-driven Optimization, Hyperscale Infrastructure and Platform Services and SAP HANA Infrastructure Services.

The report names Accenture, Capgemini, HCLTech, Kyndryl and Rackspace Technology as Leaders in three quadrants each. It names AWS, Coforge, Cognizant, Deloitte, Google, Hexaware, Hitachi Digital Services, Infosys, Innova Solutions, Microsoft, Mphasis, NTT DATA, Persistent Systems, TCS, Unisys and Wipro as Leaders in two quadrants each. It further names DXC Technology, IBM and Microland as Leaders in one quadrant each.

In addition, Brillio, IBM, NTT DATA and Oracle are recognized as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in one quadrant each.

In the area of customer experience, LTIMindtree is named the global ISG CX Star Performer for 2025 among public cloud services providers. LTIMindtree earned the highest customer satisfaction scores in ISG's Voice of the Customer survey, part of the ISG Star of Excellence™ program, the premier quality recognition for the technology and business services industry.

A customized version of the report is available from Hexaware.

The 2025 ISG Provider Lens^® Multi Public Cloud Services report for the U.S. is available to subscribers or for one-time purchase on this webpage.

About ISG Provider Lens^® Research

The ISG Provider Lens^® Quadrant research series is the only service provider evaluation of its kind to combine empirical, data-driven research and market analysis with the real-world experience and observations of ISG's global advisory team. Enterprises will find a wealth of detailed data and market analysis to help guide their selection of appropriate sourcing partners, while ISG advisors use the reports to validate their own market knowledge and make recommendations to ISG's enterprise clients. The research currently covers providers offering their services globally, across Europe, as well as in the U.S., Canada, Mexico, Brazil, the U.K., France, Benelux, Germany, Switzerland, the Nordics, Australia and Singapore/Malaysia, with additional markets to be added in the future. For more information about ISG Provider Lens research, please visit this webpage.

About ISG

ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.

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AI is becoming central to cloud strategies as enterprises seek simpler development and faster outcomes. Companies in the U.S. want predictable operations that support AI at scale without adding cost or complexity.