Market Overview:
The global high performance data analytics market is expected to grow from USD 9.02 Billion in 2018 to USD 21.01 Billion by 2030, at a CAGR of 12.8% during the forecast period. The growth of this market can be attributed to the increasing demand for big data and analytics solutions across industries, growing need for real-time insights and faster decision making, and rising trend of cloud-based deployments. On the basis of type, the high performance data analytics market is segmented into on-premises and on-demand segments. The on-premises segment is further subsegmented into traditional HPC systems and modern HPC systems segments.
Product Definition:
High performance data analytics (HPDA) is the practice of analyzing large and complex data sets as quickly and efficiently as possible. HPDA is important because it allows businesses to make better decisions faster, which can lead to increased profits and improved customer satisfaction.
On-premises:
On-premises High Performance Data Analytics (HPDC) is a data processing technology that enables organizations to store their data on their servers, workstations or mainframes. The information stored can be unstructured and contain confidential customer information, financial records, trade secret information as well as the results of internal audits.
On-demand:
On-demand is a service model in which the software is licensed, used and paid for on a per use basis. The software can be run by any individual or organization without having to buy an entire license. It reduces cost and increases flexibility for organizations that lack the budget to purchase high-priced professional services.
Application Insights:
The manufacturing sector accounted for the largest revenue share in 2016 and is expected to continue its dominance over the forecast period. The high performance data analytics tools enable manufacturers to optimize their operations by gathering real-time data from production floors, identifying patterns, and making critical decisions based on that information. This helps them make better decisions regarding asset utilization, plant maintenance, and overall business operations.
The financial services sector is also anticipated to witness considerable growth during the same period owing to increasing adoption of Hadoop platform in order to process huge volumes of financial transactions generated daily by banks around the world. The segment occupied a significant market share in 2016 as it enabled organizations within this industry vertical access large datasets with reduced processing time at lesser cost while improving end-user application experience.
Regional Analysis:
North America dominated the global high performance data analytics market in 2016. The growth of this region can be attributed to the presence of a large number of players and increased adoption across various industries. Moreover, increasing investments by governments for leveraging big data are expected to drive demand over the forecast period. For instance, in 2015, The White House launched a Big Data initiative that focuses on developing analytical tools based on massive volumes of raw data generated every day by government agencies.
The Asia Pacific is anticipated to witness significant growth owing to increasing penetration across several sectors such as manufacturing, healthcare & life sciences, retail & consumer goods among others in countries such as China and India.
Growth Factors:
- Increasing demand for big data and analytics services due to the proliferation of data from various sources such as social media, mobile devices, and the Internet of Things (IoT).
- The need for businesses to make better decisions faster in order to stay competitive is driving the adoption of High Performance Data Analytics solutions.
- The growing popularity of self-service analytics is making it easier for business users to get access to data and analysis tools, which is accelerating the adoption of High Performance Data Analytics solutions.
- The increasing demand for real-time insights is fueling the growth of High Performance Data Analytics market as these solutions can provide faster insights than traditional analytics solutions.
- Growing focus on fraud detection and prevention is also contributing to the growth of High Performance Data Analytics market as these solutions can help organizations detect fraudulent activities quickly and take corrective actions before any significant damage occurs
Scope Of The Report
Report Attributes
Report Details
Report Title
High Performance Data Analytics Market Research Report
By Type
On-premises, On-demand
By Application
Banking, financial services, and insurance, Government and defense, Manufacturing, Academia and research, Healthcare and life sciences, Media and entertainment, Energy and utility, Retail and consumer goods, Transportation and logistics
By Companies
Cisco, SAP, HPE, Cray, Dell, Juniper Networks, IBM, Microsoft, Intel, Oracle, Red Hat, Teradata, SAS
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
244
Number of Tables & Figures
171
Customization Available
Yes, the report can be customized as per your need.
Global High Performance Data Analytics Market Report Segments:
The global High Performance Data Analytics market is segmented on the basis of:
Types
On-premises, On-demand
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Banking, financial services, and insurance, Government and defense, Manufacturing, Academia and research, Healthcare and life sciences, Media and entertainment, Energy and utility, Retail and consumer goods, Transportation and logistics
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Cisco
- SAP
- HPE
- Cray
- Dell
- Juniper Networks
- IBM
- Microsoft
- Intel
- Oracle
- Red Hat
- Teradata
- SAS
Highlights of The High Performance Data Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-premises
- On-demand
- By Application:
- Banking, financial services, and insurance
- Government and defense
- Manufacturing
- Academia and research
- Healthcare and life sciences
- Media and entertainment
- Energy and utility
- Retail and consumer goods
- Transportation and logistics
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the High Performance Data Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
High performance data analytics is a subset of big data that focuses on the analysis and interpretation of large amounts of streaming or real-time data. It can be used to identify patterns, trends, and relationships in this information that would otherwise be difficult or impossible to detect.
Some of the major companies in the high performance data analytics market are Cisco, SAP, HPE, Cray, Dell, Juniper Networks, IBM, Microsoft, Intel, Oracle, Red Hat, Teradata, SAS.
The high performance data analytics market is expected to register a CAGR of 12.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 High Performance Data Analytics Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 High Performance Data Analytics Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 High Performance Data Analytics Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the High Performance Data Analytics Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global High Performance Data Analytics Market Size & Forecast, 2020-2028 4.5.1 High Performance Data Analytics Market Size and Y-o-Y Growth 4.5.2 High Performance Data Analytics Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 On-premises
5.2.2 On-demand
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Banking
6.2.2 financial services
6.2.3 and insurance
6.2.4 Government and defense
6.2.5 Manufacturing
6.2.6 Academia and research
6.2.7 Healthcare and life sciences
6.2.8 Media and entertainment
6.2.9 Energy and utility
6.2.10 Retail and consumer goods
6.2.11 Transportation and logistics
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global High Performance Data Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 High Performance Data Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 On-premises
9.6.2 On-demand
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Banking
9.10.2 financial services
9.10.3 and insurance
9.10.4 Government and defense
9.10.5 Manufacturing
9.10.6 Academia and research
9.10.7 Healthcare and life sciences
9.10.8 Media and entertainment
9.10.9 Energy and utility
9.10.10 Retail and consumer goods
9.10.11 Transportation and logistics
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 On-premises
10.6.2 On-demand
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Banking
10.10.2 financial services
10.10.3 and insurance
10.10.4 Government and defense
10.10.5 Manufacturing
10.10.6 Academia and research
10.10.7 Healthcare and life sciences
10.10.8 Media and entertainment
10.10.9 Energy and utility
10.10.10 Retail and consumer goods
10.10.11 Transportation and logistics
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 On-premises
11.6.2 On-demand
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Banking
11.10.2 financial services
11.10.3 and insurance
11.10.4 Government and defense
11.10.5 Manufacturing
11.10.6 Academia and research
11.10.7 Healthcare and life sciences
11.10.8 Media and entertainment
11.10.9 Energy and utility
11.10.10 Retail and consumer goods
11.10.11 Transportation and logistics
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 On-premises
12.6.2 On-demand
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Banking
12.10.2 financial services
12.10.3 and insurance
12.10.4 Government and defense
12.10.5 Manufacturing
12.10.6 Academia and research
12.10.7 Healthcare and life sciences
12.10.8 Media and entertainment
12.10.9 Energy and utility
12.10.10 Retail and consumer goods
12.10.11 Transportation and logistics
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 On-premises
13.6.2 On-demand
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Banking
13.10.2 financial services
13.10.3 and insurance
13.10.4 Government and defense
13.10.5 Manufacturing
13.10.6 Academia and research
13.10.7 Healthcare and life sciences
13.10.8 Media and entertainment
13.10.9 Energy and utility
13.10.10 Retail and consumer goods
13.10.11 Transportation and logistics
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 High Performance Data Analytics Market: Competitive Dashboard
14.2 Global High Performance Data Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cisco
14.3.2 SAP
14.3.3 HPE
14.3.4 Cray
14.3.5 Dell
14.3.6 Juniper Networks
14.3.7 IBM
14.3.8 Microsoft
14.3.9 Intel
14.3.10 Oracle
14.3.11 Red Hat
14.3.12 Teradata
14.3.13 SAS