U.S. Enterprises Integrate Analytics, AI at Scale

Key Terms

predictive analytics technical

Predictive analytics uses historical data and patterns to estimate future outcomes, like sales, customer behavior, or operational problems. For investors it matters because it turns past signals into probable forecasts—similar to a weather forecast or traffic app—helping assess potential risks, spot opportunities, and prioritize where to allocate capital, while remembering that predictions carry uncertainty and are not guarantees.

telemetry technical

Telemetry is the automatic collection and transmission of measurements from remote devices, systems, or patients to a central system for monitoring and analysis—like a car sending engine, speed and location data back to a dashboard. For investors it matters because telemetry provides real-time evidence of product performance, safety and user behavior, helping assess revenue potential, operational risk, regulatory compliance and whether a product is meeting market demand.

consumption-based financial

A consumption-based model is a pricing or revenue approach where customers pay only for the amount of a product or service they actually use, like a utility bill or a pay-as-you-go phone plan. For investors, it matters because revenue and cash flow scale with usage rather than fixed subscriptions, which can boost growth during high demand but also make revenue more variable and harder to forecast than predictable flat-fee models.

outcome-linked financial

Outcome-linked describes an agreement, payment, or investment whose size or continuation depends on achieving specific, measurable results—such as clinical trial success, regulatory approval, or commercial milestones. For investors it matters because it ties returns and risk directly to real-world performance: like a bonus that only pays if a target is met, outcome-linked arrangements can limit payouts when goals fail and increase upside when they succeed, changing a company’s risk and reward profile.

Companies build unified operating models to support growing role of AI in generating business value from data, ISG Provider Lens^® report says

STAMFORD, Conn.--(BUSINESS WIRE)-- The advanced analytics and AI strategies of large U.S. enterprises are maturing from isolated initiatives into integrated programs spanning all core business systems, 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^® Advanced Analytics and AI Services reports for the U.S. find that organizations are responding to the growing complexity of their IT environments by seeking unified data foundations to support predictive analytics and increasingly ambitious AI goals. As the average software portfolios of large enterprises near 2,000 systems, data and application fragmentation has elevated the importance of consistent data integration, governance and lifecycle management. Organizations are partnering with service providers on projects that combine data modernization, analytics and AI.

“U.S. enterprises are no longer experimenting with analytics and AI at the margins,” said Kathy Rudy, partner, ISG Data, Analytics and Technology Office. “They are embedding these capabilities into how decisions are made, processes are automated and performance is measured across the organization.”

AI is increasingly central to digital transformation at U.S. companies, with AI spending as a share of IT budgets almost tripling in the past two years to nearly 6 percent, ISG says. As enterprise AI moves from pilots to production, organizations have been forced to reassess how they use data, analytics and AI across lines of business. Many large enterprises are adopting formalized operating models for advanced analytics and AI (AAAI) initiatives, consolidating leadership, governance and architectural ownership across the organization.

Midsize enterprises often follow a different path, creating hybrid operating models that blend central coordination with autonomy within domains, ISG says. By allowing leaders of different parts of the organization to steward AAAI projects, midsize firms allow domains to advance at their own paces. Midsize service providers are well-equipped to support this approach by offering accelerators, pre-configured data models and migration frameworks that can be adapted to specific business contexts.

Specialist providers have recently emerged as important analytics and AI partners for enterprises in the U.S., ISG says. Customer data, supply chain telemetry, competitive intelligence and clinical datasets are expected to become leading drivers of business value in the coming years, and many specialists are focused on applying advanced analytics and AI to these types of regulated or high-precision data. They continue to deepen their expertise in verticals such as healthcare, financial services, manufacturing and digital commerce.

“Enterprises are under increasing pressure to connect analytics and AI investments to measurable business results,” said Gowtham Sampath, principal analyst, ISG Research, and lead author of the report. “The organizations making progress are those that treat data, analytics and AI as a continuous operational capability rather than a series of projects.”

The reports also explore other trends in analytics and AI services in the U.S., including the importance of change readiness and process reengineering to successful AAAI initiatives and increasing demand for consumption-based and outcome-linked provider pricing.

For more insights into the analytics and AI 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.

For 2025, ISG Provider Lens has published two Advanced Analytics and AI Services reports for the U.S.: one examining large and midsize providers and one assessing specialist providers. The Large and Midsize report evaluates the capabilities of 60 providers across four quadrants: Data Science and AI Services — Large, Data Science and AI Services — Midsize, Data Analytics and Modernization Services — Large and Data Analytics and Modernization Services — Midsize.

The Large and Midsize report names Accenture, Apexon, Atos, Brillio, Capgemini, Cognizant, EXL, Genpact, HARMAN, HCLTech, Hexaware, HTC Global Services, IBM, Infosys, Innova Solutions, Mphasis, Persistent Systems, TCS, Tech Mahindra, Unisys, UST, Virtusa and Wipro as Leaders in two quadrants each. It names Stefanini as a Leader in one quadrant each.

In addition, Coforge and DXC Technology are named as Rising Stars — companies with a “promising portfolio” and “high future potential” by ISG’s definition — in two quadrant each.

The 2025 ISG Provider Lens^® Advanced Analytics and AI Services — Specialist report evaluates the capabilities of 21 providers across two quadrants: Data Science and AI Services — Specialist and Data and Analytics — Modernization Services.

The Specialist report names Fractal Analytics, Lingaro, MathCo, Quantiphi, Tiger Analytics, Tredence and WNS Analytics as Leaders in two quadrants each. It names Evalueserve as a Leader in one quadrant.

In addition, Sigmoid is named as a Rising Star Stars — a company with a “promising portfolio” and “high future potential” by ISG’s definition — in two quadrants.

In the area of customer experience, Capgemini is named the global ISG CX Star Performer for 2025 among advanced analytics and AI services providers. Capgemini 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.

Customized versions of the report are available from 66 Degrees, Akkodis, Atos, Hexaware, Ignitho, Lingaro, Quantiphi, Rackspace, Sedin and WNS.

The 2025 ISG Provider Lens^® Advanced Analytics and AI Services — Large and Midsize report for the U.S. is available to subscribers or for one-time purchase on this webpage. The 2025 ISG Provider Lens^® Advanced Analytics and AI Services — Specialist report for the U.S. is available 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.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260119701448/en/

Press Contacts:

Laura Hupprich, ISG

+1 203-517-3100

laura.hupprich@isg-one.com

Julianna Sheridan, Matter Communications for ISG

+1 978-518-4520

isg@matternow.com

Source: Information Services Group, Inc.