AI Enhanced HPC Market Size To Surpass USD 6.10 Billion By 2032 Owing To The Surging Adoption Of AI And ML In Research And Enterprise Applications SNS Insider

(MENAFN- GlobeNewsWire - Nasdaq) The U.S. AI Enhanced HPC Market was valued at USD 0.85 billion in 2024 and is projected to reach USD 1.70 billion by 2032, growing at a CAGR of 9.12% during the forecast period 2025–2032.

Austin, Sept. 26, 2025 (GLOBE NEWSWIRE) -- AI Enhanced HPC Market Size & Growth Insights:

According to the SNS Insider,“The AI enhanced HPC M arket size was valued at USD 2.98 Billion in 2024 and is projected to reach USD 6.10 Billion by 2032, growing at a CAGR of 9.43% during 2025-2032.”

AI-HPC Market Soars on High-Performance Computing to Boost Market Growth

Some factors attributed to the growth of the AI Enhanced HPC market include the rapid expansion of cloud-based HPC services, the growing demand for high-performance data and machine learning processing, and the growing acceptance of AI and machine learning across enterprise and research settings. Simulations and analytics can be finished more quickly thanks to advancements in GPUs, CPUs, and networking technology. Simultaneously with the robust industry need for real-time information in healthcare, finance, and manufacturing, national exascale programs are enabling tighter market momentum.

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Leading Market Players with their Product Listed in this Report are:

• NVIDIA Corporation
• Intel Corporation
• AMD (Advanced Micro Devices)
• IBM Corporation
• Hewlett Packard Enterprise (HPE)
• Dell Technologies
• Amazon Web Services (AWS)
• Google Cloud
• Microsoft Corporation
• Alibaba Cloud
• Lenovo
• Fujitsu
• Penguin Computing
• YOTTA
• Cray (HPE)
• Oracle
• Rescale
• Supermicro
• Ampere Computing
• Wiwynn

AI Enhanced HPC Market Report Scope:

Report Attributes	Details
Market Size in 2024	USD 2.98 Billion
Market Size by 2032	USD 6.10 Billion
CAGR	CAGR of 9.43% From 2025 to 2032
Report Scope & Coverage	Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segmentation	. By Component (Hardware, Software, and Services) . By Deployment Model (Cloud-Based, and On-Premises) . By End-User Industry (Healthcare & Life Sciences, Financial Services, Industrial & Manufacturing, and Research & Academia) . By Computing Type (Parallel Computing, Distributed Computing, and Exascale Computing)

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Key Industry Segmentation

By Deployment Model

Cloud-based segment led the market in 2024 holding a share of around 57% and is projected to grow at the highest CAGR of 9.61% during 2025–2032, owing to advantages of scalability, flexibility, and cost efficiency over on-premise models.

By Component

The AI Enhanced HPC market in 2024 holding a share of 51% was primarily hardware driven fueled by significant demand for GPUs, CPUs, and high-end interconnect systems to support faster simulations, faster real-time analytics, and large-scale processing. Software is projected to grow with the fastest CAGR of 9.96% during 2025-2032, driven by rising adoption of various AI frameworks, middleware, and workload-optimized applications.

By End-User

In 2024, Healthcare & Life Sciences segment led the market with around 27% share driven by growing genomics, drug discovery, and AI-enabled medical imaging processes that impose enormous computational requirements. Industrial & Manufacturing segment is expected to have fastest CAGR of 9.81% over 2025–2032, driven by combined power of Human Performance Computing (HPC) and Industry 4.0 with applications in smart factories, predictive maintenance, supply chain optimization to improve efficiency, automation and productivity.

By Computing Type

Parallel Computing Outpace segment held the largest market share of 46% in 2024 due to its legacy adoption as the default strategy for large-scale AI workloads and HPC workloads, platting faster processing and scalability. The fastest burgeoning CAGR of 10.12% with regard to Exascale Computing will be existing over 2025–2032, which is mainly attributed due to national exascale initiatives, enhancing the technology of CPUs, GPUs and interconnects.

North America was the Leading Region in the Market with a Share of 37.6% in 2024; Asia Pacific is Expected to Witness Fastest CAGR of 17.79% in the Market During 2025-2032

Due to significant investments in AI research, sophisticated supercomputing infrastructures, the growing use of supercomputers in the manufacturing, healthcare, and financial industries, as well as government-backed exascale projects, North America led the AI-enhanced HPC market in 2024 with a 37.6% share. Exascale government initiatives, the growing digital transformation, the rising adoption rate of AI, and the need for cloud-based HPC in the manufacturing, research, and healthcare sectors all point to the Asia Pacific region's potential for the highest CAGR of 10.07% over 2025-2032. Strong investments in regional innovation hubs and AI infrastructure are supporting this trend.

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Recent News:

• In June 2025 , NVIDIA powers JUPITER, Europe's fastest supercomputer, built on the Grace Hopper platform. JUPITER is on track to become Europe's first exascale system, delivering over 90 exaflops of AI performance while maintaining high energy efficiency.
• In September 2024 , Intel introduced the Xeon 6 processors with Performance-cores (P-cores) and the Gaudi 3 AI accelerators.

Exclusive Sections of the AI Enhanced HPC Market Report (The USPs):

• PERFORMANCE & EFFICIENCY METRICS – helps you understand throughput improvements, faster time-to-solution, and energy efficiency gains delivered by AI-enhanced HPC infrastructures.
• ADOPTION & DEPLOYMENT TRENDS – helps you track the integration of AI accelerators across supercomputing centers, the balance between cloud vs. on-premise deployments, and the growth of hybrid AI-HPC clusters.
• APPLICATION-SPECIFIC UTILIZATION – helps you identify leading use cases such as scientific research, financial modeling, aerospace, and drug discovery, along with dataset sizes and workload density per node.
• INVESTMENT & COST IMPACT ANALYSIS – helps you measure cost savings from AI integration, R&D spending allocations by key players, and government/enterprise funding momentum in AI-HPC.
• TECHNOLOGICAL INNOVATION RATE – helps you uncover how AI-driven workload optimization and HPC scaling strategies are shaping future competitiveness and efficiency benchmarks.

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