Summary

U.K. High Performance Computing Market Growth & Trends

The U.K. high performance computing market size is estimated to reach USD 3.09 billion by 2030, growing at a CAGR of 5.4% from 2023 to 2030, according to the recent reports of Grand View Research, Inc. The proliferation of machine learning and big data analytics applications has increased the demand for U.K. high-performance computing resources for handling and analyzing massive datasets. High-performance computing is used for complex data processing in industries such as finance and healthcare. The U.K. has an increasing ecosystem of technology firms that use high-performance computing systems to drive innovation. Government initiatives and private-sector investment in IT innovators help to grow the market.

Efforts to make high performance computing (HPC) more accessible to a broader variety of customers, particularly small and medium-sized businesses (SMEs), contribute to market growth, and user-friendly HPC platforms and cloud services aid adoption. Cloud companies provide HPC-as-a-Service, allowing organizations to use HPC capabilities without making huge initial agreements. This ease of access helps to foster the growth of the market.

HPC systems demand an immense amount of energy, which leads to significant operating costs and environmental issues. Continuous issues involve creating more energy-efficient high performance computing technology and optimizing data center cooling. Building and maintaining HPC infrastructure, such as supercomputers and data centers, is expensive. Access to high-performance computing assets could turn out excessively costly for smaller enterprises, researchers, and educational organizations. This challenge has been addressed by efforts to lower costs while boosting convenience, such as cloud-based high-performance computing services.

Incorporating artificial intelligence (AI) and neural networks with high-performance computing (HPC) will continue to expand. HPC systems will be utilized to train and run increasingly complex AI models, enabling future advances in processing natural languages, machine vision, and learning by reinforcement. The link between HPC and edge computing will accelerate.

HPC technologies will be deployed closer to data sources, allowing for actual-time decision-making and analysis in applications such as autonomous vehicles, the Internet of Things, and industry automation. As HPC evolves, it will continue to be a key tool for pushing the boundaries of human knowledge, boosting efficiency across industries, and contributing to societal improvement. The high-performance computing market's issues, including energy conservation, price, and data management, will be met by continual creativity and cooperation among the U.K. high-performance computing players.

U.K. High Performance Computing Market Report Highlights

• Based on component, the storage segment is expected to register a CAGR of 6.7% from 2023 to 2030. Storage systems will keep evolving to provide greater capacity and faster performance. This is essential because HPC applications create and demand massive amounts of data. HPC storage solutions will include data management and analytics features to assist users in deriving value from their stored information

• Based on deployment, the cloud segment is expected to register a CAGR of 6.4% from 2023 to 2030.Cloud firms deliver machine learning services and artificial intelligence, which integrate effectively with HPC workloads. Cloud service companies invest in high-speed, low-latency networks, which are needed for HPC workloads. This allows for rapid data transfer and effective communication among devices

• Based on end-use, the manufacturing segment is expected to register a CAGR of 6.3% from 2023 to 2030.HPC-powered simulations assist manufacturers in optimizing manufacturing processes and lowering waste, energy usage, and manufacturing costs. It allows for the creation of simpler and more efficient production operations. Manufacturers can make immediate decisions via monitoring data and analytics using machine learning and artificial intelligence (AI) with high-performance computing

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Table of Contents

Table of Contents

Chapter 1. Methodology and Scope
1.1. Methodology Segmentation & Scope
1.2. Information procurement
1.2.1. Purchased database
1.2.2. GVR’s internal database
1.2.3. Secondary sources & third-party perspectives
1.2.4. Primary research
1.3. Information analysis
1.3.1. Data analysis models
1.4. Market formulation & data visualization
1.5. Data validation & publishing
Chapter 2. Executive Summary
2.1. U.K. High-Performance Computing Market - Component Snapshot, 2018 - 2030
2.2. U.K. High-Performance Computing Market - Deployment Snapshot, 2018 - 2030
2.3. U.K. High-Performance Computing Market - End-use Snapshot, 2018 - 2030
Chapter 3. U.K. High-Performance Computing Market Variables, Trends & Scope
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market Driver Analysis
3.3.2. Market Restraint/Challenge Analysis
3.3.3. Market Opportunity Analysis
3.4. Business Environment Analysis Tools
3.4.1. Porter's Five Forces Analysis
3.4.2. PEST Analysis
3.5. COVID-19 Impact Analysis
Chapter 4. U.K. High-Performance Computing Market Component Outlook
4.1. U.K. High-Performance Computing Market Share by Component 2022 & 2030 (USD Million)
4.2. Servers
4.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
4.3. Storage
4.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
4.4. Networking Devices
4.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
4.5. Software
4.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
4.6. Services
4.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
4.7. Cloud
4.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
4.8. Others
4.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 5. U.K. High-Performance Computing Market Deployment Outlook
5.1. U.K. High-Performance Computing Market Share by Deployment 2022 & 2030 (USD Million)
5.2. On-premise
5.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
5.3. Cloud
5.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 6. U.K. High-Performance Computing Market End-use Outlook
6.1. U.K. High-Performance Computing Market Share by Deployment 2022 & 2030 (USD Million)
6.2. BFSI
6.2.1. Market size estimates and forecasts, 2018 - 2030 (USD Million)
6.3. Gaming
6.3.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.4. Media & entertainment
6.4.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.5. Retail
6.5.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.6. Transportation
6.6.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.7. Government & Defense
6.7.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.8. Education & research
6.8.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.9. Manufacturing
6.9.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.10. Healthcare & bioscience
6.10.1. Market estimates and forecast, 2018 - 2030 (USD Million)
6.11. Others
6.11.1. Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 7. Competitive Landscape
7.1. Company Categorization (Mature Players, Emerging Players)
7.2. Company Share Analysis, 2022
7.3. Heat Map Analysis
7.4. Strategy Mapping
7.4.1. Expansion
7.4.2. Merger & Acquisition
7.4.3. Partnerships & Collaborations
7.4.4. Product/Service Launch
7.4.5. Investment
7.5. Company Profiles (Overview, Financial Performance, Product Overview, Strategic Initiatives)
7.5.1. Atos SE
7.5.2. Amazon Web Services, Inc.
7.5.3. Advanced Micro Devices, Inc
7.5.4. Cisco Systems, Inc.
7.5.5. Dell Inc.
7.5.6. Fujitsu
7.5.7. Hewlett Packard Enterprise Development LP
7.5.8. Huawei Technologies Co., Ltd.
7.5.9. Intel Corporation
7.5.10. IBM
7.5.11. Microsoft
7.5.12. Numerical Algorithms Group Ltd
7.5.13. Oracle
7.5.14. Red Hat, Inc.
7.5.15. Teradata Corporation