U.S. Enterprises Scale AWS Platforms to Expand Governed AI

Information Services Group (III) published a U.S. AWS ecosystem report examining how enterprises integrate cloud operations, AI and data governance.

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Providers help clients turn cloud resources into platforms for business execution, trusted information and operations, ISG Provider Lens^® report says

STAMFORD, Conn.--(BUSINESS WIRE)-- Organizations in the U.S. are turning to the AWS ecosystem for help in progressing toward integrated, well-governed operating models for cloud operations, AI and data, 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 2026 ISG Provider Lens^® AWS Ecosystem Partners report for the U.S. finds that AWS adoption has entered a new stage of maturity in which cloud migration is no longer the central objective. Organizations are updating applications, operationalizing AI and building trusted data foundations throughout AWS environments, seeking scalable operating models and measurable business outcomes with controlled costs.

“Enterprises in the U.S. are treating AWS implementation as a shared operating challenge,” said Anay Nawathe, ISG cloud delivery lead for the Americas. “To achieve sustained results, they know they will need disciplined execution across AWS technology, operations and finance.”

Companies are using AWS services to build agentic AI systems that reason, coordinate workflows and execute defined business processes. Their priorities include customer interactions, software engineering and operational decision-making across increasingly complex operating environments. AWS services for agent development, orchestration and deployment support production-oriented systems with defined controls and operational accountability. By taking a production engineering approach, providers help shorten AWS deployment time while limiting implementation complexity, delivery risk and demands on scarce AI talent.

Many organizations in the U.S. are updating data foundations in AWS before extending AI initiatives across their operations. They are adopting AWS-based lakehouse environments, data fabrics, semantic models and metadata management to unify fragmented information. Lineage tracking, data-quality controls and real-time processing capabilities improve reliability for analytics, automation and AI at scale. In highly regulated financial services, healthcare, life sciences and public sector organizations, these AWS investments also support essential protections in areas such as auditability, data protection and digital sovereignty.

Enterprises are unifying management of AWS cloud costs and AI spending as AI use becomes more continuous. To guide AWS scaling decisions, they are monitoring GPU utilization, model execution, inference activity and token consumption. Changes to VMware licensing are prompting large estates to reconsider data-center strategies and placement of core workloads. Many U.S. enterprises are consolidating these workloads onto AWS and other hyperscaler stacks through native migration paths, avoiding immediate re-architecture projects, ISG says.

“The next test for U.S. organizations will be connecting AWS and AI spending to operating results,” said Tapati Bandopadhyay, lead author of the report. “AWS ecosystem providers can help clients modernize data and applications while making cloud and AI costs more transparent.”

The report also explores other trends in the U.S. AWS ecosystem, including growing enterprise use of AWS-enabled autonomous cloud operations and increasing demand for providers to support industry-specific transformation approaches.

For more insights into the AWS-related challenges faced by enterprises in the U.S., along with ISG’s advice for addressing them, see the ISG Provider Lens Focal Points briefing here.

The report evaluates 42 providers across four quadrants: AWS Professional Services, AWS Managed Services, AWS Data Lifecycle Management Services and AI-Powered Business Transformation with AWS.

The report names Accenture, Capgemini, Cognizant, Deloitte, DXC Technology, HCLTech, Infosys, LTM, NTT DATA, Persistent Systems, PwC, Rackspace Technology, TCS and Wipro as Leaders in all four quadrants. It names Hexaware as a Leader in three quadrants and Coforge and Genpact as Leaders in one quadrant each.

In addition, Apexon is recognized as a Rising Star — a company with a “promising portfolio” and “high future potential” by ISG’s definition — in three quadrants. Coforge is recognized as a Rising Star in two quadrants. Genpact, Hexaware and ITC Infotech are recognized as Rising Stars in one quadrant each.

In the area of customer experience, MHP is named the global ISG CX Star Performer for 2026 among AWS ecosystem providers. MHP 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 2026 ISG Provider Lens AWS Ecosystem Partners report for the U.S. is available to subscribers or for one-time purchase on 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 and research, in-depth knowledge and governance of provider ecosystems, and the expertise of its 1,500 professionals worldwide working together to help clients maximize the value of their technology investments.

View source version on businesswire.com: https://www.businesswire.com/news/home/20261020490168/en/

Press Contacts:

Laura Hupprich, ISG
+1 203-517-3132
laura.hupprich@isg-one.com

Erik Arvidson, Matter Communications for ISG
+1 978-518-4542
isg@matternow.com

Source: Information Services Group, Inc.

Key Terms

gpu technical

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.