The rise in Artificial Intelligence (AI) and gen AI adoption has cast the spotlight on technology infrastructure’s demand to support AI workloads. AI workloads can put considerable strain on IT infrastructure, placing huge demands on data, storage, and network infrastructure during model training and inferencing.
Enterprises are increasingly recognizing the need for dedicated infrastructure, which is vital for AI applications’ optimal functioning and forms AI deployment’s backbone. As AI’s demand grows, they are strongly emphasizing advanced compute hardware, high storage capacity, enhanced connectivity, and robust cloud platforms and data centers.
In this report, we provide the global AI infrastructure market’s outlook along with enterprise concerns and challenges, adoption framework, recent developments, and implications for enterprises and providers. Additionally, the report provides an enterprise playbook for AI infrastructure adoption and the top 20 AI infrastructure providers’ overview.
Scope
- All industries and geographies
- AI infrastructure
Contents
In this report, we provide:
- Global AI infrastructure market’s overview with demand drivers, enterprise concerns, and adoption framework
- The top 20 AI infrastructure providers’ overview
Membership(s)
Cloud and Infrastructure Services
Sourcing and Vendor Management
