Techno Blogging
Neocloud providers will account for 20% of the projected $267 billion AI cloud market by 2030, according to Gartner, as enterprises increasingly seek AI-optimized infrastructure, sovereign cloud capabilities, and alternatives to traditional hyperscale cloud providers.
Gartner said the rapid adoption of generative AI is driving unprecedented demand for GPU-intensive computing, exposing the limitations of conventional cloud models while accelerating investment in specialized AI infrastructure.
"While U.S. hyperscalers are launching their own sovereign offerings, a new wave of specialized neocloud providers is gaining significant traction," said Enrique Castera, senior director analyst at Gartner. "These neoclouds are differentiated by their focus on AI-optimized infrastructure and high-performance workloads."
According to Gartner, some neocloud providers are also differentiating themselves by offering sovereign cloud capabilities that ensure data, operations, and governance remain within specific national jurisdictions. Such deployments are designed to help organizations comply with increasingly stringent data sovereignty regulations while reducing exposure to foreign legal claims.
The analyst firm said regulatory developments, including GDPR requirements and the European Union AI Act's transparency obligations that take effect in August 2026, are prompting organizations to rethink where AI data is stored, processed, and governed. Rising geopolitical concerns are also encouraging enterprises to adopt more localized and resilient cloud architectures.
Gartner said the combination of regulatory pressure, growing AI workloads, and limited GPU availability is creating opportunities for a new generation of cloud providers purpose-built for AI.
"Neoclouds are offering differentiation via superior performance on AI workloads, flexible deployment models and a strong commitment to data sovereignty, often at a more competitive price point," Castera said. "The AI cloud market is entering a new phase where sovereignty, performance, and infrastructure specialization are becoming primary decision factors for enterprises."
The emergence of neocloud providers is expected to reshape enterprise cloud strategies, with organizations moving beyond centralized cloud deployments toward hybrid and localized architectures.
Gartner advised infrastructure and operations leaders to evaluate specialized AI cloud providers alongside traditional hyperscalers to gain access to high-performance AI infrastructure and scarce GPU capacity. The firm also recommended strengthening governance, financial planning, and technical controls to address data sovereignty, regulatory compliance, and operational resilience.
"Organizations can leverage neocloud providers to enhance their AI capabilities while maintaining greater control over data sovereignty and regulatory compliance," Castera said. "These providers also enable enterprises to innovate faster by providing more flexible access to high-performance infrastructure tailored to AI workloads."
Gartner said the rapid adoption of generative AI is driving unprecedented demand for GPU-intensive computing, exposing the limitations of conventional cloud models while accelerating investment in specialized AI infrastructure.
"While U.S. hyperscalers are launching their own sovereign offerings, a new wave of specialized neocloud providers is gaining significant traction," said Enrique Castera, senior director analyst at Gartner. "These neoclouds are differentiated by their focus on AI-optimized infrastructure and high-performance workloads."
According to Gartner, some neocloud providers are also differentiating themselves by offering sovereign cloud capabilities that ensure data, operations, and governance remain within specific national jurisdictions. Such deployments are designed to help organizations comply with increasingly stringent data sovereignty regulations while reducing exposure to foreign legal claims.
The analyst firm said regulatory developments, including GDPR requirements and the European Union AI Act's transparency obligations that take effect in August 2026, are prompting organizations to rethink where AI data is stored, processed, and governed. Rising geopolitical concerns are also encouraging enterprises to adopt more localized and resilient cloud architectures.
Gartner said the combination of regulatory pressure, growing AI workloads, and limited GPU availability is creating opportunities for a new generation of cloud providers purpose-built for AI.
"Neoclouds are offering differentiation via superior performance on AI workloads, flexible deployment models and a strong commitment to data sovereignty, often at a more competitive price point," Castera said. "The AI cloud market is entering a new phase where sovereignty, performance, and infrastructure specialization are becoming primary decision factors for enterprises."
The emergence of neocloud providers is expected to reshape enterprise cloud strategies, with organizations moving beyond centralized cloud deployments toward hybrid and localized architectures.
Gartner advised infrastructure and operations leaders to evaluate specialized AI cloud providers alongside traditional hyperscalers to gain access to high-performance AI infrastructure and scarce GPU capacity. The firm also recommended strengthening governance, financial planning, and technical controls to address data sovereignty, regulatory compliance, and operational resilience.
"Organizations can leverage neocloud providers to enhance their AI capabilities while maintaining greater control over data sovereignty and regulatory compliance," Castera said. "These providers also enable enterprises to innovate faster by providing more flexible access to high-performance infrastructure tailored to AI workloads."
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