As hybrid multicloud strategies gain momentum across the U.S., enterprises are increasingly partnering with service providers that integrate AI and automation into cloud and data center management. According to the newly released 2025 ISG Provider Lens Private/Hybrid Cloud  Data Center Services report, published by Information Services Group (ISG), this shift reflects the growing demand for infrastructure that is both intelligent and scalable.

AI continues to reshape enterprise IT, placing data centers at the center of transformation. To meet rising needs, especially from technologies like generative AI and large language models (LLMs), service providers now offer advanced tools and expert guidance to help businesses build AI-ready infrastructure.

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More specifically, organizations face an unprecedented need for fast, secure, and compliant data processing and storage. In response, providers are enabling enterprises to virtualize workloads, transition to cloud or colocation centers, and manage infrastructure using cloud-agnostic platforms. This not only boosts scalability and efficiency but also reduces IT costs a growing concern in today’s uncertain economic environment.

Furthermore, many providers now incorporate AI and machine learning into managed services, enhancing features like real-time data analysis, anomaly detection, and predictive disruption forecasts. For enterprises unsure of where to begin with AI, service providers offer end-to-end consulting for design, deployment, and infrastructure management.

Transitioning to hybrid cloud environments also raises concerns around security and compliance. To address these, providers embed advanced security operations such as real-time monitoring, automated threat detection, and rapid incident response ensuring consistent protection across private and public clouds.

The report also identifies leading U.S. service providers in this space. Companies like Kyndryl, NTT DATA, Accenture, TCS, and Rackspace have earned top rankings across multiple service quadrants. Meanwhile, Coforge and HPE have been recognized as “Rising Stars” for their innovative offerings.

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With containerization, software-defined data centers, and DevOps adoption on the rise, enterprises are doubling down on investments that future-proof their cloud strategies.

FAQs

1. What is AI-ready infrastructure, and why do enterprises need it?

AI-ready infrastructure refers to computing environments designed to support high-performance AI workloads. Enterprises need it to run real-time analytics, machine learning models, and large-scale AI applications efficiently and securely.

2. How do hybrid cloud services benefit enterprise operations?

Hybrid cloud services allow businesses to distribute workloads across private and public clouds, optimizing for cost, compliance, and performance. This flexibility supports business continuity, scalability, and innovation.

3. Can small and mid-sized companies also leverage AI-powered hybrid cloud services?

Absolutely. Many service providers now offer scalable solutions tailored to midmarket companies, including managed services and infrastructure consulting that help them adopt AI without major upfront investment.

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