ISG to Publish Report on NVIDIA Ecosystem Providers

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Key Terms

ai platforms technical

AI platforms are software systems that let companies build, run and manage artificial-intelligence tools—think of them as a digital toolbox plus an engine that turns data into decisions or automation. They matter to investors because these platforms can drive cost savings, new products, and faster decision-making across many industries, so a company’s use or ownership of an AI platform can affect revenue growth, margins and competitive position.

nvidia-based ai environments technical

NVIDIA-based AI environments are computing setups that use NVIDIA’s specialized processors and software to run artificial intelligence workloads. Think of them as high-performance kitchens where NVIDIA provides the ovens and tools that let AI models be trained and run much faster and more efficiently than on ordinary hardware. Investors care because these environments can lower costs, speed product development, and influence which companies can compete effectively in AI-driven markets.

ai factories technical

AI factories are organized platforms and processes that turn raw data and computing power into finished AI products and services at scale — think of them as automated assembly lines for machine intelligence. For investors, they matter because they concentrate the tools, data and infrastructure that speed up development, lower unit costs and make it easier to roll out new AI features, which can translate into faster revenue growth or cost savings for companies that operate them.

agentic workloads technical

Agentic workloads are sets of tasks that are carried out by autonomous software agents rather than people, such as routing customer requests, making routine decisions, or executing repeatable processes. For investors, they matter because shifting work from humans to these self-directed programs can cut labor costs, speed operations, and scale services like a factory robot — changes that can boost productivity, alter capital needs, and affect a company’s future earnings potential.

digital twins technical

Digital twins are virtual replicas of physical objects, systems, or processes that simulate their real-world counterparts in real time. They allow users to monitor, analyze, and predict how the actual entity will behave under different conditions. For investors, digital twins can provide valuable insights into performance and potential risks, helping to make better-informed decisions.

hyperscaler technical

A hyperscaler is a very large provider of cloud computing and data-center services that owns and operates vast amounts of servers, storage and network capacity to host other companies’ applications and data. Think of them as the electric utility for digital services: their scale cuts unit costs, enables rapid growth for customers, and creates high barriers to entry, so investors watch their market share, margins and capital spending closely.

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.

customer experience (cx) data technical

Customer experience (CX) data is information collected about how customers interact with a business, including their feedback, preferences, and behaviors. It helps companies understand what customers like or dislike, similar to how a store manager notices which products are popular or which areas need improvement. For investors, analyzing CX data reveals how well a company meets customer needs, which can indicate its future success and growth potential.

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06/16/2026 - 09:00 AM

Upcoming ISG Provider Lens^® report will evaluate providers helping U.S. enterprises scale AI platforms from strategy through operations

STAMFORD, Conn.--(BUSINESS WIRE)-- Information Services Group (ISG) (Nasdaq: III), a global AI-centered technology research and advisory firm, has launched a research study examining providers that help U.S. enterprises adopt and operate NVIDIA-based AI environments at scale.

The study results will be published in a comprehensive ISG Provider Lens^® report, called NVIDIA Ecosystem, scheduled to be released in October 2026. The report will cover companies offering consulting, deployment and performance optimization services for NVIDIA-based enterprise AI platforms.

Enterprise buyers will be able to use the report’s insights to evaluate their current vendor relationships, identify potential new engagements and compare available offerings. ISG advisors will use the research to guide clients through increasingly complex transformation and platform investment decisions.

The NVIDIA ecosystem is maturing as enterprises scale AI deployments and increasingly focus on AI reliability, governance and cost control. NVIDIA’s expansion from building hardware to offering a broader AI platform is changing how companies design and operate AI infrastructure. Enterprises are adopting NVIDIA-based environments to support AI factories, agentic workloads and digital twins across cloud, on-premises and hybrid architectures, increasing demand for partners with platform engineering, AI operations and governance expertise.

“Enterprises are looking for a clearer path through an increasingly complex ecosystem for AI platforms,” said Heiko Henkes, managing director at ISG. “As NVIDIA-based environments become more central to enterprise AI strategies, including physical AI initiatives, providers will need to help clients make practical decisions about architecture, operating models and long-term value realization.”

ISG has distributed surveys to more than 80 NVIDIA ecosystem providers. Working in collaboration with ISG’s global advisors, the research team will produce three quadrants representing the NVIDIA ecosystem services the typical enterprise is buying, based on ISG’s experience working with its clients. The three quadrants are:

NVIDIA Consulting and AI Transformation Services, evaluating providers that help enterprises adopt NVIDIA-aligned AI platforms, operating models and roadmaps at scale. These providers support AI strategy, use-case prioritization, data readiness assessment, business case development and governance-led transformation programs.
NVIDIA Deployment and Implementation Services, assessing providers that engineer, deploy and integrate NVIDIA full-stack AI platforms. These providers are evaluated on platform engineering, workload deployment and integration capabilities across hyperscaler, on-premises and hybrid infrastructures.
NVIDIA Performance Optimization Services, covering providers that operate, optimize and continuously improve NVIDIA-powered AI environments at scale. These providers deliver services focused on performance reliability, GPU efficiency, workload stability and operational resilience.

The report produced from the study will cover the global NVIDIA ecosystem market and examine products and services available in the U.S. ISG analysts Dr. Tapati Bandopadhyay and Ashwin Gaidhani will serve as authors of the report.

A list of identified providers and vendors and further details on the study are available in this digital brochure. Companies not listed as NVIDIA ecosystem providers can contact ISG and ask to be included in the study.

All 2026 ISG Provider Lens evaluations feature expanded customer experience (CX) data capturing real-world enterprise feedback on specific provider services and solutions, based on ISG’s continuous CX research.

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.