High-Performance Data Analytics Market Size and Share
Market Overview
| Study Period | 2019 - 2030 |
|---|---|
| Market Size (2025) | USD 125.99 Billion |
| Market Size (2030) | USD 335.93 Billion |
| Growth Rate (2025 - 2030) | 21.67% CAGR |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players
*Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
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High-Performance Data Analytics Market Analysis by Mordor Intelligence
The high-performance data analytics market is valued at USD 125.99 billion in 2025 and is forecast to reach USD 335.93 billion by 2030, registering a 21.67% CAGR. Momentum comes from the convergence of AI, cloud computing, and the swelling volume of enterprise data. Financial services remain a prime adopter as real-time fraud analytics become essential for secure transaction banking. Software accounts for 46.2% revenue, while services are expanding fastest on the back of specialized AI consulting. On-premise deployments presently lead with 57.8% share, yet cloud-based solutions are the clear growth engine at a 30.1% CAGR as providers scale global GPU capacity. Regionally, North America commands 35.4% share, but Asia-Pacific is on track for the quickest gains given sweeping digital-transformation programs. Large enterprises dominate adoption, though SMEs are narrowing the gap thanks to plummeting GPU rental rates, exemplified by USD 3.35-per-hour H100 instances that undercut hyperscaler list prices by more than 90%.
Key Report Takeaways
- By component, software led with 46.2% revenue share in 2024; the services segment is projected to advance at a 25.4% CAGR through 2030.
- By deployment model, on-premise solutions held 57.8% of the high-performance data analytics market share in 2024, while cloud deployments are rising at a 30.1% CAGR to 2030.
- By organization size, large enterprises accounted for 68.5% of the market in 2024; SMEs represent the fastest-growing cohort at a 27.8% CAGR to 2030.
- By end-user industry, BFSI captured 24.7% revenue in 2024; retail & e-commerce is forecast to expand at a 29.3% CAGR through 2030.
- By geography, North America commanded 35.4% of 2024 revenue; Asia-Pacific is projected to deliver a 28% CAGR to 2030.
Global High-Performance Data Analytics Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Accelerating Adoption of Real-Time Analytics in BFSI for Fraud Detection | +5.20% | North America, Europe, Asia-Pacific | Medium term (2-4 years) |
| Surge in AI/ML Model Training Requiring Petabyte-Scale Data Processing | +6.80% | Global, with concentration in Asia and North America | Long term (≥ 4 years) |
| Growth of Edge-to-Cloud HPC for Smart Manufacturing | +4.30% | Europe, North America, East Asia | Medium term (2-4 years) |
| Falling Cost-per-Core for GPU/CPU Clusters Enabling Affordable HPC for SMEs | +3.50% | Global | Short term (≤ 2 years) |
| Renewable-Energy Grid Optimization Initiatives Driving HPC Analytics | +1.20% | South America, Europe, North America | Medium term (2-4 years) |
| National Defense Big-Data Modernization Programs Across Middle East Governments | +0.70% | Middle East, North Africa | Medium term (2-4 years) |
| Source: Mordor Intelligence | |||
Accelerating Adoption of Real-Time Analytics in BFSI for Fraud Detection
Financial institutions have recorded a tenfold rise in social-engineering scams, now 23% of digital-banking fraud cases, prompting rapid rollouts of high-performance fraud-detection engines. TD Bank achieved enterprise-wide real-time monitoring after winning the 2024 FICO Decisions Award.[1]FICO Press Room, “2024 Decisions Awards Winners,” fico.com TD Bank, “TD Bank Wins 2024 FICO Decisions Award,” td.com AI-enabled platforms are attaining 98.5% detection accuracy while processing 1 Gbps data streams without latency. As a result, BFSI institutions are embedding low-latency analytics into payment rails, credit-risk scoring, and know-your-customer checks to safeguard reputational and financial capital. These deployments underpin a 5.2% lift in the overall CAGR for the high-performance data analytics market.
Surge in AI/ML Model Training Requiring Petabyte-Scale Data Processing
Generative-AI models are doubling in parameter count every six months, demanding petabyte-scale data ingestion and exascale compute clusters. Hyperscale data-center investment tied to AI workloads is set to climb from USD 162.79 billion in 2024 to USD 608.54 billion by 2030. Providers such as Microsoft and Google have earmarked a combined USD 155 billion for next-generation AI facilities.[2]Google Cloud, “Next’25 Key Announcements,” cloud.google.com This capital outlay elevates demand for distributed file systems, high-throughput interconnects, and advanced scheduling software, translating into a 6.8% positive push on market growth.
Growth of Edge-to-Cloud HPC for Smart Manufacturing
European factories are linking edge devices with cloud clusters to run physics-based twins, quality-inspection vision models, and energy-optimization algorithms in real time. The EU Cloud-Edge-IoT initiative targets 10,000 climate-neutral edge nodes by 2030, backed by EUR 80 million in Horizon Europe grants.[3]European Commission, “EU Cloud-Edge-IoT Initiative,” europa.eu Manufacturers consequently shorten feedback loops, cut scrap rates, and meet sustainability mandates, reinforcing high-performance data analytics adoption across discrete and process industries.
Falling Cost-Per-Core for GPU/CPU Clusters Enabling Affordable HPC for SMEs
Specialized providers now rent H100 GPUs at USD 3.35 per hour, undercutting hyperscalers by at least 96%. The price decline sharply improves the business case for small and medium enterprises to train vision, language, and forecasting models once affordable only to global conglomerates. Coupled with managed services that mask cluster complexity, the cost curve is driving a new cohort of data-driven SMEs, contributing 3.5% to CAGR acceleration.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| High Total Cost of Ownership for Dedicated HPC Clusters | -2.1% | Caribbean, Africa, Southeast Asia | Medium term (2-4 years) |
| Shortage of Skilled HPC & Parallel Programming Professionals | -1.8% | Europe, Oceania, Middle East | Long term (≥ 4 years) |
| Data-Sovereignty Regulations Limiting Cross-Border Cloud Analytics | -1.3% | Asia, Europe, South America | Medium term (2-4 years) |
| Infrastructure Reliability Issues in Emerging Markets | -0.9% | Africa, South Asia, Latin America | Short term (≤ 2 years) |
| Source: Mordor Intelligence | |||
High Total Cost of Ownership for Dedicated HPC Clusters
Capital expenditure on data-center builds is projected to surpass USD 250 billion in 2025, and expanding power needs add a further USD 500 billion through 2030. Many developing nations face electricity shortfalls that hinder the launch of local HPC facilities. Organizations struggle to justify on-premise clusters once equipment, cooling, and skilled-staff costs are tallied, curbing adoption in resource-constrained regions and trimming overall CAGR by 2.1%.
Shortage of Skilled HPC & Parallel-Programming Professionals
Fifty-three percent of IT leaders report gaps in expertise required to deploy and optimize high-performance data analytics solutions. Although universities and vendors are expanding training programs, demand for CUDA, MPI, and heterogeneous-architecture talent continues to outstrip supply. The resulting delays in workload migration and workflow redesign reduce effective adoption rates, shaving 1.8% from the forecast CAGR until the talent pipeline stabilizes.
Segment Analysis
By Component: Software Dominates While Services Accelerate
The software segment generated 46.2% of revenue in 2024, reflecting demand for user-friendly analytics engines, data-fabric layers, and AI orchestration tools. Vendors are embedding workflow automation and feature-store capabilities that hasten model deployment across business units. DevOps integration is tightening feedback cycles, and license structures are shifting toward consumption-based billing that aligns cost with value creation. Hardware sales remain foundational, propelled by silicon advances such as NVIDIA Blackwell Ultra GPUs that field higher tensor-core density for transformer workloads.[4]NVIDIA, “Blackwell Ultra Architecture Overview,” nvidia.com
Services are the quickest-expanding line, projected at 25.4% CAGR through 2030. Consulting teams now bundle data-strategy design, MLOps implementation, and continuous-model-tuning services, filling expertise gaps in complex hybrid stacks. Providers are launching AI-as-a-Service offerings that include managed feature engineering, bias auditing, and federated-learning orchestration. These shifts broaden addressable demand and lift the high-performance data analytics market size for service engagements, especially among first-time enterprise adopters.
Note: Segment shares of all individual segments available upon report purchase
By Deployment Model: On-Premise Leads as Cloud Growth Accelerates
On-premise deployments held 57.8% share in 2024, anchored by sectors that guard latency or sovereignty, including government and banking. Organizations cite direct hardware control and compliance with strict data-residency statutes as prime motives. Many firms also leverage existing data-center sunk costs, optimizing occupancy rates by refreshing nodes rather than migrating wholesale to cloud.
Cloud platforms are climbing at a 30.1% CAGR, propelled by elastic scaling, consumption pricing, and global edge-zone rollouts. Providers have broadened confidential-computing instances and sovereign-cloud regions to mollify regulatory concerns. Hybrid and multi-cloud patterns now dominate greenfield projects, combining local accelerators with burst capacity for AI training. The shift is enlarging the high-performance data analytics market size attached to consumption models while easing entry for resource-constrained enterprises.
By Organization Size: Large Enterprises Dominate While SMEs Gain Ground
Enterprises with more than 5,000 employees controlled 68.5% revenue in 2024. Their investments span data-mesh architecture, multimodal AI, and cross-domain authorization frameworks. Many are refining citizen-developer initiatives to push analytics to business teams, elevating data-literacy levels and unlocking fresh use cases. Such scale advantages underpin continuous experimentation and platform consolidation that reinforce incumbency.
SMEs are the fastest growth cohort at 27.8% CAGR. Cloud GPU democratization reduces capital hurdles and supports pay-as-you-go experimentation. Smaller firms focus narrowly on marketing attribution, demand forecasting, and inventory optimization, then expand footprint once early wins materialize. As adoption rises, the high-performance data analytics market share held by SMEs is set to improve, narrowing the gap with conglomerates and injecting competitive dynamism.
By End-User Industry: BFSI Leads, Retail & E-Commerce Surges
BFSI contributed 24.7% revenue in 2024. Risk models now integrate behavioral biometrics to spot account-takeover anomalies within milliseconds, while insurers employ climate-adjusted catastrophe models to refine premium pricing. Banks also use customer-propensity scoring to tailor cross-sell offers, which raises wallet share and reduces churn.
Retail & e-commerce is projected to grow at 29.3% CAGR. Merchants harness real-time recommendation engines, computer-vision shelf monitoring, and demand-shaping algorithms that sync promotions with inventory. Personalized engagement enhances conversion rates and average order value, while supply-chain analytics minimize stockouts. As a result, the high-performance data analytics industry is witnessing a notable infusion of retail workloads that broaden the sector mix.
Geography Analysis
North America maintained 35.4% revenue leadership in 2024, buoyed by deep hyperscaler footprints and early enterprise AI adoption. U.S. data-center supply rose by 26% year on year to 5.2 GW, matching proliferating AI inference demand. Banks such as TD leverage national payment telemetry for instant fraud scoring, underscoring sector maturity. Rental rates in Northern Virginia advanced 41.6% in 2024, evidencing tight capacity that spurs continued build-outs.
Asia-Pacific is the fastest-growing region with a 28% CAGR outlook. India plans to double installed data-center capacity to nearly 1.8 GW by 2026, underwritten by multibillion-dollar commitments from domestic and global investors. Taiwan’s facility builds are forecast to exceed USD 3 billion by 2028 to service chip-design simulations and large-language-model training. China is closing the model-quality gap with the United States, with provincial grants catalyzing next-generation AI frameworks. Yet, stringent data-localization rules are compelling firms to engineer country-specific analytics stacks rather than unified global fabrics.
Europe is scaling edge-to-cloud initiatives to modernize manufacturing and critical infrastructure. The EU aims to reach 75% business-cloud adoption and deploy 10,000 climate-neutral edge nodes by 2030. National programs channel capital toward 6G testbeds, telco-edge cloud pilots, and industrial metaverse demonstrators that require low-latency analytics. The opening of the first European AI factories in 2024 provides sovereign compute for automotive, aerospace, and energy firms seeking to train models without exporting data.
Competitive Landscape
The competitive arena is moderately concentrated, with the top providers capturing about 70% of revenue. AWS, Microsoft, and Google leverage integrated stacks of compute, storage, and AI services, accounting for 63% of global cloud spend in Q1 2025. They continuously unveil specialized accelerators, managed vector databases, and retrieval-augmented generation toolkits to preserve differentiation. Traditional hardware vendors, including Dell and Hewlett Packard Enterprise, pivot toward exascale-ready architectures and on-premise cloud appliances that deliver cloud-like elasticity within customer data centers.
Strategic mergers are frequent. Moody’s acquired CAPE Analytics to fuse satellite imagery with underwriting models, strengthening risk intelligence services. Cisco absorbed SnapAttack and Deeper Insights to extend its AI-driven security portfolio, signaling cross-domain convergence. Emerging firms exploit whitespace in federated-learning orchestration, privacy-preserving analytics, and industry-specific model hubs. Quantum-classical integration is an early-stage frontier, with proof-of-concept pilots in optimization and cryptography hinting at the next wave of performance leaps.
Hardware specialization is another battleground. NVIDIA introduced Blackwell Ultra GPUs coupled with an NVL576 rack for terabit optics that improve energy efficiency by up to 30%. Intel’s Xeon 6 lines target AI inference latency reductions, while Arm-based designs pursue lower-watt consumption for edge clusters. Suppliers are thus segmenting offerings by workload profile, further intensifying rivalry yet broadening customer choice.
High-Performance Data Analytics Industry Leaders
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SAS Institute, Inc.
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Hewlett Packard Enterprise Company
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Oracle Corporation
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ATOS SE
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Microsoft Corporation
- *Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- May 2025: NVIDIA unveiled Blackwell Ultra architecture with the NVL576 rack that houses 576 Rubin Ultra GPUs, enabling exascale-class AI computing while cutting energy draw via co-packaged optics.
- May 2025: One Stop Systems signed a Cooperative Research and Development Agreement with USSOCOM to co-develop rugged edge HPC units for field AI workloads.
- May 2025: Seer released Proteograph ONE plus SP200 automation, raising weekly proteomics throughput above 1,000 samples.
- April 2025: Google Cloud debuted autonomous data-foundation services and workflow agents that lift campaign productivity for partners such as Radisson Hotel Group by 50%.
- March 2025: IonOpticks appointed new global sales leaders to prepare for expanded proteomics and clinical launches.
Global High-Performance Data Analytics Market Report Scope
High-performance data analytics combines data analytics and HPC. This technology leverages the parallel processing capabilities of HPC to run robust analytics software at speeds over one teraflop, or one trillion floating point operations per second. Using this technique, users can quickly analyze large data sets and draw inferences about the information they contain. Market size includes the revenue from high-performance data analytics components and services sold by different market players globally.
The high-performance data analytics market is segmented by component (hardware, software, and services), deployment (on-premises and on-demand), organization size (small and medium enterprises and large enterprises), end-user industry (BFSI, government & defense, energy & utilities, retail & e-commerce), and geography (North America [United States, Canada], Europe [United Kingdom, Germany, France, Rest of Europe], Asia Pacific [China, India, Japan, Rest of Asia Pacific], Latin America [Mexico, Brazil, Rest of Latin America], and Middle East and Africa [United Arab Emirates, Saudi Arabia and Rest of Middle East and Africa]). The report offers market forecasts and size in value (USD) for all the above segments.
| Hardware |
| Software |
| Services |
| On-Premise |
| On-Demand/Cloud |
| Small and Medium Enterprises (SMEs) |
| Large Enterprises |
| Banking, Financial Services and Insurance (BFSI) |
| Government and Defense |
| Energy and Utilities |
| Retail and E-Commerce |
| Healthcare and Life Sciences |
| Telecommunication and IT Services |
| Manufacturing |
| North America | United States |
| Canada | |
| Mexico | |
| South America | Brazil |
| Argentina | |
| Chile | |
| Peru | |
| Rest of South America | |
| Europe | Germany |
| United Kingdom | |
| France | |
| Italy | |
| Spain | |
| Rest of Europe | |
| Asia-Pacific | China |
| Japan | |
| South Korea | |
| India | |
| Australia | |
| New Zealand | |
| Rest of Asia-Pacific | |
| Middle East | United Arab Emirates |
| Saudi Arabia | |
| Turkey | |
| Rest of Middle East | |
| Africa | South Africa |
| Rest of Africa |
| By Component | Hardware | |
| Software | ||
| Services | ||
| By Deployment Model | On-Premise | |
| On-Demand/Cloud | ||
| By Organization Size | Small and Medium Enterprises (SMEs) | |
| Large Enterprises | ||
| By End-User Industry | Banking, Financial Services and Insurance (BFSI) | |
| Government and Defense | ||
| Energy and Utilities | ||
| Retail and E-Commerce | ||
| Healthcare and Life Sciences | ||
| Telecommunication and IT Services | ||
| Manufacturing | ||
| By Geography | North America | United States |
| Canada | ||
| Mexico | ||
| South America | Brazil | |
| Argentina | ||
| Chile | ||
| Peru | ||
| Rest of South America | ||
| Europe | Germany | |
| United Kingdom | ||
| France | ||
| Italy | ||
| Spain | ||
| Rest of Europe | ||
| Asia-Pacific | China | |
| Japan | ||
| South Korea | ||
| India | ||
| Australia | ||
| New Zealand | ||
| Rest of Asia-Pacific | ||
| Middle East | United Arab Emirates | |
| Saudi Arabia | ||
| Turkey | ||
| Rest of Middle East | ||
| Africa | South Africa | |
| Rest of Africa | ||
Key Questions Answered in the Report
What is the current high-performance data analytics market size and projected growth?
The market is valued at USD 125.99 billion in 2025 and is forecast to reach USD 335.93 billion by 2030, registering a 21.67% CAGR.
Which component segment leads the high-performance data analytics market
Software dominates with 46.2% revenue share in 2024, while services are the fastest-growing segment at a projected 25.4% CAGR.
How quickly are cloud deployments expanding within this market?
Cloud-based high-performance data analytics solutions are projected to grow at a 30.1% CAGR from 2025 to 2030.
Which industry vertical is adopting high-performance data analytics most rapidly?
Retail & e-commerce is the fastest-growing vertical, expected to expand at a 29.3% CAGR through 2030.
Which region offers the highest growth potential?
Asia-Pacific shows the fastest regional expansion, forecast at a 28% CAGR owing to accelerated digital-transformation initiatives.
What is a key barrier limiting broader market uptake?
A shortage of skilled HPC and parallel-programming professionals is reducing effective adoption and optimization, trimming 1.8% from the forecast CAGR.
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