USD 46.01 billion
High Performance Data Analytics Market Size, Share, Growth Analysis, By Product(Structured, Semi-Structured and Un-Structured), By Deployment(On-Premise and Cloud), By Industrial Vertical(Government & Defense, Manufacturing, Academia & Research, Healthcare & Life Science), By Region - Industry Forecast 2024-2031
Report ID:
SQMIG45C2076 |
Region:
Global |
Published Date: April, 2024
Pages:
201
|Tables:
89
|Figures:
72
High Performance Data Analytics Market Insights
Global High Performance Data Analytics Market size was valued at USD 46.01 billion in 2022, USD 49.99 billion in 2023 and is projected to grow USD 91.86 billion by 2031, growing at a CAGR of 9.1% in the forecast period (2024-2031).
Finding patterns and insights through data analytics and high-performance computing (HPC) is the goal of high-performance data analytics (HPDA). The development of data analytics and cloud computing has made it possible to conduct investigations. High computer performance and a lot of data are combined to create what is known as data analytics. It is the procedure for gathering data by swiftly testing the biggest data sets. The same high-performance computer processing is used for this, along with potent analytics tools. For governments and corporate enterprises that need to combine high computer performance with data analysis, there is a new and quickly expanding market for high performance data analysis infrastructure. extreme real-time data collections.
An ever-more computerized and networked world is producing more data. But data grows exponentially rather than linearly. Businesses that rely on high-performance computing (HPC) are preparing for this increase. Businesses are starting to realize how much of an advantage it is to use HPC capabilities to support AI and development analytics. Companies like Intel, HP, and others provide a means to integrate workloads related to AI, HPC, and other areas so that organizations may lead the way in this technological transformation. The energy industry projected that geographic peak energy demands would balance the load. Thus, by analyzing data even more rapidly and precisely, high-performance computing (HPC)-driven analytics helps propel advances in climate research.
Market Snapshot - 2024-2031
Global Market Size
Largest Segment
Structured
Fastest Growth
Semi-structured
Growth Rate
9.1% CAGR
Global High Performance Data Analytics Market ($ Bn)
Country Share for North America (%)
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High Performance Data Analytics Market Segmental Analysis
The global high performance data analytics market is segmented based on product, deployment, industrial vertical and regional type. In terms of product, the market is trifurcated into structured, semi-structured and un-structured. Based on deployment, the market is divided into on-premise and cloud. Based on industrial vertical, the market is segmented into government & defense, manufacturing, academia & research, healthcare & life science, BFSI and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Central & South America and Middle East & Africa. Structured data is compatible with conventional relational database systems; hence the product category holds a sizable portion of the market.
Analysis by Product
As per categorization by product, the market is classified into structured, semi-structured and un-structured. Among these, structured earned the largest share and continues to dominate the market. In order to extract meaningful insights from large and complicated datasets, structured data analytics techniques are being rapidly innovated and used in the global high performance data analytics market. Organizations in a variety of industries are able to enhance decision-making procedures, boost operational effectiveness, and gain a competitive edge through the use of advanced analytics tools driven by structured data. In the high-performance data analytics market, structured data analytics solutions are still essential for corporate growth and innovation due to the increasing demand for real-time analytics and predictive modelling.
Due to their enormous volume and potential for insights, semi-structured and unstructured data are expected to increase at the quickest rate in the global high performance data analytics market. Large volumes of semi-structured and unstructured data are produced by businesses as they digitize their operations more and more. These sources include multimedia material, social media, and Internet of Things devices. To extract meaningful insights from various forms of data, modern analytics techniques like machine learning and natural language processing are leveraged. This trend highlights the necessity for advanced analytics programmes that can handle various data formats, which is propelling the market's substantial rise in this area.
Analysis by Industry Vertical
High-performance data analytics are being used by governments and the defense industry worldwide more and more to support security measures, improve decision-making, and allocate resources as efficiently as possible. These organizations can now analyze enormous amounts of structured and unstructured data, such as social media feeds, satellite images, and intelligence reports, in order to predict trends, identify possible threats, and increase operational efficiency thanks to advancements in data analytics technologies. These developments highlight how important data analytics is to bolstering governance and national security frameworks, which is fueling the market segment's ongoing expansion.
Due to their growing reliance on data-driven insights to improve operations and spur innovation, the BFSI, Manufacturing, Academia & Research, and Healthcare & Life Sciences sectors are expected to grow at a quick pace in the Global High Performance Data Analytics Market. Data analytics is essential for risk management, fraud detection, and customized client experiences in the BFSI industry. Supply chain optimization and predictive maintenance are beneficial to manufacturing. While Healthcare & Life Sciences use analytics for precision medicine, patient care optimization, and drug development, Academia & Research use it for scientific discoveries. These industries show great potential for growth.
Global High Performance Data Analytics Market By Product (%)
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High Performance Data Analytics Market Regional Insights
Due to their heavy reliance on CPU processing, workflows for data preparation, training, and deployment for data analytics were historically laborious and slow. This market will be dominated by the high-performance data analytics (HPDA) area in North America. Accelerated data science has been implemented by two advanced economies in the region, namely the USA and Canada, to improve the efficiency of end-to-end analytics workflows. This has the potential to accelerate value creation and reduce costs across various industries, hence propelling market expansion in the region. With a market share of second to none, the high-performance data analytics (HPDA) market is located in Europe. By incorporating cutting-edge capabilities like AI and HPC into their products, regional providers of data analytics software are broadening their customer base.
From 2023 to 2032, the Asia-Pacific High-Performance Data Analytics (HPDA) Market is anticipated to develop at the fastest rate. By using the promise of high-performance data analytics, businesses may enable enterprise-wide innovation, improve customer service, and deliver goods faster. In order to enhance their data analytics skills, numerous companies in the region are developing HPDA software that will be used in a variety of industries. The market for high performance data analytics is steadily expanding across Latin America and the Middle East and Africa. Brazil, Mexico, South Africa, and the United Arab Emirates are among the fastest-growing nations in these regions. These nations can be attributed to a growing number of digital transformation efforts, a developing IT infrastructure, and an increased need for data-driven decision-making in a variety of industries.
Global High Performance Data Analytics Market By Geography
- Largest
- Fastest
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High Performance Data Analytics Market Dynamics
Drivers
Growing Use of Machine Learning and Artificial Intelligence
- The global high performance data analytics market is expanding due in large part to the growing use of artificial intelligence (AI) and machine learning (ML) technologies. As AI and ML algorithms can process enormous volumes of data at previously unheard-of speeds, businesses may instantly gain insightful knowledge and make decisions based on facts. With the use of automation and predictive analytics, these technologies enable companies in a variety of industries to improve customer experiences, streamline processes, and open up new income opportunities.
Growth of IoT Environments
- Another significant factor propelling the growth of the global high performance data analytics market is the development of Internet of Things (IoT) ecosystems. In order to derive actionable insights from IoT-generated data streams, enterprises are increasingly relying on high-performance data analytics solutions due to the proliferation of connected devices producing huge volumes of data. Businesses may better understand consumer behaviour, increase operational effectiveness, and spur innovation in sectors like manufacturing, healthcare, and smart cities by utilising IoT data.
Restraints
Data Security and Privacy Issues
- The growing worry over data security and privacy is one of the major obstacles facing the global high performance data analytics market. The gathering and examination of large volumes of confidential information by organisations increases the danger of data breaches, illegal access, and noncompliance with regulations. Businesses face difficulties in maintaining compliance with the increasingly complicated data privacy laws, such the CCPA and GDPR, while also optimising the value of their data assets. To address these issues and win over customers and stakeholders, strong data protection protocols, strict access controls, and open data governance frameworks are needed.
Absence of Experts in Data Analytics
- The lack of qualified data analytics specialists is another barrier impeding the growth of the global high performance data analytics market. Organisations looking to effectively exploit advanced analytics capabilities face hurdles due to the skills gap that results from the increased demand for data scientists, analysts, and engineers exceeding the supply of competent personnel. The intricacy of advanced data analytics instruments and methodologies necessitates specific proficiency in domains like statistical analysis, machine learning, and data mining. This underscores the necessity of allocating resources towards workforce education and training in order to tackle the scarcity of skilled personnel.
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High Performance Data Analytics Market Competitive Landscape
Businesses need advanced tools to manage and extract value from the deluge of information that comes in the big data era. The market for high-performance data analytics, or HPDA, steps up to save the day. It offers robust solutions that process and analyse large datasets at breakneck speeds, spurring innovation and giving businesses a competitive edge.
Top Player’s Company Profiles
- Dawning Information Industry Co., Ltd. (China)
- NVIDIA Corporation (US)
- Hewlett Packard Enterprise Development LP (US)
- Amazon Web Services, Inc. (US)
- IBM Corporation (US)
- Fujitsu (Japan)
- Lenovo (China)
- Intel Corporation (US)
- Atos SE (France)
- Microsoft Corporation (US)
- Cloudera, Inc. (US)
- Google LLC (US)
- Cray Inc. (US)
- Dell Inc. (US)
- Bright Computing, Inc. (Netherlands)
- Cisco Systems, Inc. (US)
Recent Developments
- In December 2023, Lenovo is a firm that provides computer hardware, software, and services. At the Zuse Institute Berlin (ZIB), the HPC system "LISE" was enhanced. The institute's researchers would have access to the high processing power needed to run data-intensive applications thanks to this expansion. The main goal of this expansion is to make "LISE" more energy efficient.
- In August 2023, The HPC cloud platform Gompute, which provides on-premises and hybrid cloud solutions in addition to Cloud HPC services, has been acquired by atNorth, a provider of data center services. As per the deal, atNorth would broaden its offering by including Gompute's data center.
- In July 2023, the consulting and IT services company HCL Technologies Limited has expanded its partnership with Microsoft Corporation to offer HPC solutions, including advanced analytics, machine learning, core infrastructure, and simulations, to customers in a variety of industries.
High Performance Data Analytics Key Market Trends
- Edge Computing Revolution: The data analytics and processing landscape is changing due to revolutionary changes in the High-Performance Data Analytics (HPDA) business. The growing use of edge computing for HPDA applications is one notable development. In order to handle and extract insights from this decentralized data, enterprises are using high-performance analytics solutions as the amount of data produced at the edge by IoT devices and sensors keeps growing. In HPDA, edge computing enables real-time analytics at the point of data collection, cutting down on latency and facilitating quick decisions in situations where quick decisions are essential, like in smart cities or autonomous cars.
- Harnessing Intelligent Data Processing: This trend is a deliberate shift towards more intelligent data processing, allowing companies to quickly analyze big datasets and extract prescriptive and predictive insights that spur efficiency and creativity. The market for HPDA is being shaped by the emergence of hybrid and multi-cloud architectures as businesses look for scalable and adaptable solutions. For their HPDA workloads, several companies are utilizing a mix of private, public, and on-premises cloud platforms. With the help of this trend, businesses may make the most use of their resources, scale their computing capacity to meet particular demands, and guarantee data accessible across multiple platforms.
High Performance Data Analytics Market SkyQuest Analysis
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, the increasing use of artificial intelligence (AI) and machine learning (ML) technologies is propelling the global high performance data analytics market growth. These technologies enable businesses to process large amounts of data quickly, obtain actionable insights, improve customer experiences, streamline operations, and investigate new revenue streams through predictive analytics and automation. The global market is facing significant challenges from data security and privacy issues. Companies must balance the need to maximize the value of their data assets against the increasingly complex data privacy regulations, such as the CCPA and GDPR, which call for strong data protection measures, strict access controls, and transparent data governance frameworks in order to maintain stakeholder trust and assure compliance.
| Report Metric | Details |
|---|---|
| Market size value in 2023 | USD 46.01 billion |
| Market size value in 2031 | USD 91.86 billion |
| Growth Rate | 9.1% |
| Forecast period | 2024-2031 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
|
| Customization scope | Free report customization with purchase. Customization includes:-
|
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Table Of Content
Executive Summary
Market overview
- Exhibit: Executive Summary – Chart on Market Overview
- Exhibit: Executive Summary – Data Table on Market Overview
- Exhibit: Executive Summary – Chart on High Performance Data Analytics Market Characteristics
- Exhibit: Executive Summary – Chart on Market by Geography
- Exhibit: Executive Summary – Chart on Market Segmentation
- Exhibit: Executive Summary – Chart on Incremental Growth
- Exhibit: Executive Summary – Data Table on Incremental Growth
- Exhibit: Executive Summary – Chart on Vendor Market Positioning
Parent Market Analysis
Market overview
Market size
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- SWOT Analysis
KEY MARKET INSIGHTS
- Technology Analysis
- (Exhibit: Data Table: Name of technology and details)
- Pricing Analysis
- (Exhibit: Data Table: Name of technology and pricing details)
- Supply Chain Analysis
- (Exhibit: Detailed Supply Chain Presentation)
- Value Chain Analysis
- (Exhibit: Detailed Value Chain Presentation)
- Ecosystem Of the Market
- Exhibit: Parent Market Ecosystem Market Analysis
- Exhibit: Market Characteristics of Parent Market
- IP Analysis
- (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
- Trade Analysis
- (Exhibit: Data Table: Import and Export data details)
- Startup Analysis
- (Exhibit: Data Table: Emerging startups details)
- Raw Material Analysis
- (Exhibit: Data Table: Mapping of key raw materials)
- Innovation Matrix
- (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
- Pipeline product Analysis
- (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
- Macroeconomic Indicators
COVID IMPACT
- Introduction
- Impact On Economy—scenario Assessment
- Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
- Revised Market Size
- Exhibit: Data Table on High Performance Data Analytics Market size and forecast 2021-2027 ($ million)
- Impact Of COVID On Key Segments
- Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
- COVID Strategies By Company
- Exhibit: Analysis on key strategies adopted by companies
MARKET DYNAMICS & OUTLOOK
- Market Dynamics
- Exhibit: Impact analysis of DROC, 2021
- Drivers
- Opportunities
- Restraints
- Challenges
- Exhibit: Impact analysis of DROC, 2021
- Regulatory Landscape
- Exhibit: Data Table on regulation from different region
- SWOT Analysis
- Porters Analysis
- Competitive rivalry
- Exhibit: Competitive rivalry Impact of key factors, 2021
- Threat of substitute products
- Exhibit: Threat of Substitute Products Impact of key factors, 2021
- Bargaining power of buyers
- Exhibit: buyers bargaining power Impact of key factors, 2021
- Threat of new entrants
- Exhibit: Threat of new entrants Impact of key factors, 2021
- Bargaining power of suppliers
- Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
- Competitive rivalry
- Skyquest special insights on future disruptions
- Political Impact
- Economic impact
- Social Impact
- Technical Impact
- Environmental Impact
- Legal Impact
Market Size by Region
- Chart on Market share by geography 2021-2027 (%)
- Data Table on Market share by geography 2021-2027(%)
- North America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- USA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Canada
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Europe
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Germany
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Spain
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- France
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- UK
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Europe
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Asia Pacific
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- China
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- India
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Japan
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Korea
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of Asia Pacific
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Latin America
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- Brazil
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of South America
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Middle East & Africa (MEA)
- Chart on Market share by country 2021-2027 (%)
- Data Table on Market share by country 2021-2027(%)
- GCC Countries
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- South Africa
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
- Rest of MEA
- Exhibit: Chart on Market share 2021-2027 (%)
- Exhibit: Market size and forecast 2021-2027 ($ million)
KEY COMPANY PROFILES
- Competitive Landscape
- Total number of companies covered
- Exhibit: companies covered in the report, 2021
- Top companies market positioning
- Exhibit: company positioning matrix, 2021
- Top companies market Share
- Exhibit: Pie chart analysis on company market share, 2021(%)
- Total number of companies covered
Methodology
For the High Performance Data Analytics Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the High Performance Data Analytics Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Analyst Support
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the High Performance Data Analytics Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the High Performance Data Analytics Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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