
DAS (Data Analytics Supercomputer), also known as HPCC (High-Performance Computing Cluster), is an open source, data-intensive computing system platform developed by LexisNexis Risk Solutions. The HPCC platform incorporates a software architecture implemented on commodity computing clusters to provide high-performance, data-parallel processing for applications utilizing big data.
Highlights
The global Data Analytics Supercomputer (DAS) market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North America is dominating the market due to the presence of the global players in this region as well as high technological advancement. North America is expected to dominate the market throughout the forecast period whereas Asia-Pacific has emerged as fastest growing market and expected to be the second biggest market by the end of forecast period. Currently Europe holds second position in the market but expected to be dominated by Asia-Pacific by the end of forecast period.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data Analytics Supercomputer (DAS), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Analytics Supercomputer (DAS).
The Data Analytics Supercomputer (DAS) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Data Analytics Supercomputer (DAS) market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data Analytics Supercomputer (DAS) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
PSSC Labs
Silicon Graphics International (SGI)
Intel
Dell
Hewlett Packard
Amazon Web Services
Bright Computing
Google
Microsoft
Advanced Micro Devices
Cisco Systems
TotalCAE
Cray
Cepoint Networks
Lenovo
Penguin Computing
Nor-Tech
RackMountPro
Segment by Type
On-premises
Cloud-based
Segment by Application
Life Science
Industrial Manufacturing
Banking
Defense
Gaming Industry
Retail
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data Analytics Supercomputer (DAS) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data Analytics Supercomputer (DAS) Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 On-premises
1.2.3 Cloud-based
1.3 Market by Application
1.3.1 Global Data Analytics Supercomputer (DAS) Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Life Science
1.3.3 Industrial Manufacturing
1.3.4 Banking
1.3.5 Defense
1.3.6 Gaming Industry
1.3.7 Retail
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data Analytics Supercomputer (DAS) Market Perspective (2018-2029)
2.2 Data Analytics Supercomputer (DAS) Growth Trends by Region
2.2.1 Global Data Analytics Supercomputer (DAS) Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data Analytics Supercomputer (DAS) Historic Market Size by Region (2018-2023)
2.2.3 Data Analytics Supercomputer (DAS) Forecasted Market Size by Region (2024-2029)
2.3 Data Analytics Supercomputer (DAS) Market Dynamics
2.3.1 Data Analytics Supercomputer (DAS) Industry Trends
2.3.2 Data Analytics Supercomputer (DAS) Market Drivers
2.3.3 Data Analytics Supercomputer (DAS) Market Challenges
2.3.4 Data Analytics Supercomputer (DAS) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data Analytics Supercomputer (DAS) Players by Revenue
3.1.1 Global Top Data Analytics Supercomputer (DAS) Players by Revenue (2018-2023)
3.1.2 Global Data Analytics Supercomputer (DAS) Revenue Market Share by Players (2018-2023)
3.2 Global Data Analytics Supercomputer (DAS) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data Analytics Supercomputer (DAS) Revenue
3.4 Global Data Analytics Supercomputer (DAS) Market Concentration Ratio
3.4.1 Global Data Analytics Supercomputer (DAS) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data Analytics Supercomputer (DAS) Revenue in 2022
3.5 Data Analytics Supercomputer (DAS) Key Players Head office and Area Served
3.6 Key Players Data Analytics Supercomputer (DAS) Product Solution and Service
3.7 Date of Enter into Data Analytics Supercomputer (DAS) Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data Analytics Supercomputer (DAS) Breakdown Data by Type
4.1 Global Data Analytics Supercomputer (DAS) Historic Market Size by Type (2018-2023)
4.2 Global Data Analytics Supercomputer (DAS) Forecasted Market Size by Type (2024-2029)
5 Data Analytics Supercomputer (DAS) Breakdown Data by Application
5.1 Global Data Analytics Supercomputer (DAS) Historic Market Size by Application (2018-2023)
5.2 Global Data Analytics Supercomputer (DAS) Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data Analytics Supercomputer (DAS) Market Size (2018-2029)
6.2 North America Data Analytics Supercomputer (DAS) Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data Analytics Supercomputer (DAS) Market Size by Country (2018-2023)
6.4 North America Data Analytics Supercomputer (DAS) Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data Analytics Supercomputer (DAS) Market Size (2018-2029)
7.2 Europe Data Analytics Supercomputer (DAS) Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data Analytics Supercomputer (DAS) Market Size by Country (2018-2023)
7.4 Europe Data Analytics Supercomputer (DAS) Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data Analytics Supercomputer (DAS) Market Size (2018-2029)
8.2 Asia-Pacific Data Analytics Supercomputer (DAS) Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data Analytics Supercomputer (DAS) Market Size by Region (2018-2023)
8.4 Asia-Pacific Data Analytics Supercomputer (DAS) Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data Analytics Supercomputer (DAS) Market Size (2018-2029)
9.2 Latin America Data Analytics Supercomputer (DAS) Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data Analytics Supercomputer (DAS) Market Size by Country (2018-2023)
9.4 Latin America Data Analytics Supercomputer (DAS) Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data Analytics Supercomputer (DAS) Market Size (2018-2029)
10.2 Middle East & Africa Data Analytics Supercomputer (DAS) Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data Analytics Supercomputer (DAS) Market Size by Country (2018-2023)
10.4 Middle East & Africa Data Analytics Supercomputer (DAS) Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Data Analytics Supercomputer (DAS) Introduction
11.1.4 IBM Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.1.5 IBM Recent Development
11.2 PSSC Labs
11.2.1 PSSC Labs Company Detail
11.2.2 PSSC Labs Business Overview
11.2.3 PSSC Labs Data Analytics Supercomputer (DAS) Introduction
11.2.4 PSSC Labs Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.2.5 PSSC Labs Recent Development
11.3 Silicon Graphics International (SGI)
11.3.1 Silicon Graphics International (SGI) Company Detail
11.3.2 Silicon Graphics International (SGI) Business Overview
11.3.3 Silicon Graphics International (SGI) Data Analytics Supercomputer (DAS) Introduction
11.3.4 Silicon Graphics International (SGI) Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.3.5 Silicon Graphics International (SGI) Recent Development
11.4 Intel
11.4.1 Intel Company Detail
11.4.2 Intel Business Overview
11.4.3 Intel Data Analytics Supercomputer (DAS) Introduction
11.4.4 Intel Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.4.5 Intel Recent Development
11.5 Dell
11.5.1 Dell Company Detail
11.5.2 Dell Business Overview
11.5.3 Dell Data Analytics Supercomputer (DAS) Introduction
11.5.4 Dell Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.5.5 Dell Recent Development
11.6 Hewlett Packard
11.6.1 Hewlett Packard Company Detail
11.6.2 Hewlett Packard Business Overview
11.6.3 Hewlett Packard Data Analytics Supercomputer (DAS) Introduction
11.6.4 Hewlett Packard Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.6.5 Hewlett Packard Recent Development
11.7 Amazon Web Services
11.7.1 Amazon Web Services Company Detail
11.7.2 Amazon Web Services Business Overview
11.7.3 Amazon Web Services Data Analytics Supercomputer (DAS) Introduction
11.7.4 Amazon Web Services Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.7.5 Amazon Web Services Recent Development
11.8 Bright Computing
11.8.1 Bright Computing Company Detail
11.8.2 Bright Computing Business Overview
11.8.3 Bright Computing Data Analytics Supercomputer (DAS) Introduction
11.8.4 Bright Computing Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.8.5 Bright Computing Recent Development
11.9 Google
11.9.1 Google Company Detail
11.9.2 Google Business Overview
11.9.3 Google Data Analytics Supercomputer (DAS) Introduction
11.9.4 Google Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.9.5 Google Recent Development
11.10 Microsoft
11.10.1 Microsoft Company Detail
11.10.2 Microsoft Business Overview
11.10.3 Microsoft Data Analytics Supercomputer (DAS) Introduction
11.10.4 Microsoft Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.10.5 Microsoft Recent Development
11.11 Advanced Micro Devices
11.11.1 Advanced Micro Devices Company Detail
11.11.2 Advanced Micro Devices Business Overview
11.11.3 Advanced Micro Devices Data Analytics Supercomputer (DAS) Introduction
11.11.4 Advanced Micro Devices Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.11.5 Advanced Micro Devices Recent Development
11.12 Cisco Systems
11.12.1 Cisco Systems Company Detail
11.12.2 Cisco Systems Business Overview
11.12.3 Cisco Systems Data Analytics Supercomputer (DAS) Introduction
11.12.4 Cisco Systems Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.12.5 Cisco Systems Recent Development
11.13 TotalCAE
11.13.1 TotalCAE Company Detail
11.13.2 TotalCAE Business Overview
11.13.3 TotalCAE Data Analytics Supercomputer (DAS) Introduction
11.13.4 TotalCAE Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.13.5 TotalCAE Recent Development
11.14 Cray
11.14.1 Cray Company Detail
11.14.2 Cray Business Overview
11.14.3 Cray Data Analytics Supercomputer (DAS) Introduction
11.14.4 Cray Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.14.5 Cray Recent Development
11.15 Cepoint Networks
11.15.1 Cepoint Networks Company Detail
11.15.2 Cepoint Networks Business Overview
11.15.3 Cepoint Networks Data Analytics Supercomputer (DAS) Introduction
11.15.4 Cepoint Networks Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.15.5 Cepoint Networks Recent Development
11.16 Lenovo
11.16.1 Lenovo Company Detail
11.16.2 Lenovo Business Overview
11.16.3 Lenovo Data Analytics Supercomputer (DAS) Introduction
11.16.4 Lenovo Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.16.5 Lenovo Recent Development
11.17 Penguin Computing
11.17.1 Penguin Computing Company Detail
11.17.2 Penguin Computing Business Overview
11.17.3 Penguin Computing Data Analytics Supercomputer (DAS) Introduction
11.17.4 Penguin Computing Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.17.5 Penguin Computing Recent Development
11.18 Nor-Tech
11.18.1 Nor-Tech Company Detail
11.18.2 Nor-Tech Business Overview
11.18.3 Nor-Tech Data Analytics Supercomputer (DAS) Introduction
11.18.4 Nor-Tech Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.18.5 Nor-Tech Recent Development
11.19 RackMountPro
11.19.1 RackMountPro Company Detail
11.19.2 RackMountPro Business Overview
11.19.3 RackMountPro Data Analytics Supercomputer (DAS) Introduction
11.19.4 RackMountPro Revenue in Data Analytics Supercomputer (DAS) Business (2018-2023)
11.19.5 RackMountPro Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
IBM
PSSC Labs
Silicon Graphics International (SGI)
Intel
Dell
Hewlett Packard
Amazon Web Services
Bright Computing
Google
Microsoft
Advanced Micro Devices
Cisco Systems
TotalCAE
Cray
Cepoint Networks
Lenovo
Penguin Computing
Nor-Tech
RackMountPro
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Ìý
*If Applicable.
