Big data refers to a wide range of hardware, software, and services required for processing and analyzing enterprise data that is too large for traditional data processing tools to manage. In this report, we have included big data infrastructure, which includes mainly hardware and embedded software.
In this market research, analysts have estimated eminent factors, such as the growth of cloud-based big data analytics, to spur market growth during the forecast period. The growth of cloud-based big data analytics is driven by the advantages associated with its usage. Cloud-based big data analytics not only helps in accelerating the potential for scalable analytics but also provides a more convenient and organized way to access the data. Some of the major technologies introduced processing cloud data include Amazon Redshift data warehousing, Kinesis data processing service, BigQuery data analytics service, and Bluemix.During 2015, the Americas dominated this market and accounted for an impressive market share of more than 38%.
In 2018, the global Big Data Infrastructure market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Big Data Infrastructure status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data Infrastructure development in United States, Europe and China.
The key players covered in this study
Dell
IBM
NetApp
Cisco
Intel
Oracle
...
Market segment by Type, the product can be split into
Storage
Server
Networking
Market segment by Application, split into
Social Networking Websites
Financial Services Sector
Healthcare Sector
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Big Data Infrastructure status, future forecast, growth opportunity, key market and key players.
To present the Big Data Infrastructure development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Big Data Infrastructure are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Table of Contents
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Big Data Infrastructure Market Size Growth Rate by Type (2014-2025)
1.4.2 Storage
1.4.3 Server
1.4.4 Networking
1.5 Market by Application
1.5.1 Global Big Data Infrastructure Market Share by Application (2014-2025)
1.5.2 Social Networking Websites
1.5.3 Financial Services Sector
1.5.4 Healthcare Sector
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Big Data Infrastructure Market Size
2.2 Big Data Infrastructure Growth Trends by Regions
2.2.1 Big Data Infrastructure Market Size by Regions (2014-2025)
2.2.2 Big Data Infrastructure Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
3 Market Share by Key Players
3.1 Big Data Infrastructure Market Size by Manufacturers
3.1.1 Global Big Data Infrastructure Revenue by Manufacturers (2014-2019)
3.1.2 Global Big Data Infrastructure Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global Big Data Infrastructure Market Concentration Ratio (CR5 and HHI)
3.2 Big Data Infrastructure Key Players Head office and Area Served
3.3 Key Players Big Data Infrastructure Product/Solution/Service
3.4 Date of Enter into Big Data Infrastructure Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
4.1 Global Big Data Infrastructure Market Size by Type (2014-2019)
4.2 Global Big Data Infrastructure Market Size by Application (2014-2019)
5 United States
5.1 United States Big Data Infrastructure Market Size (2014-2019)
5.2 Big Data Infrastructure Key Players in United States
5.3 United States Big Data Infrastructure Market Size by Type
5.4 United States Big Data Infrastructure Market Size by Application
6 Europe
6.1 Europe Big Data Infrastructure Market Size (2014-2019)
6.2 Big Data Infrastructure Key Players in Europe
6.3 Europe Big Data Infrastructure Market Size by Type
6.4 Europe Big Data Infrastructure Market Size by Application
7 China
7.1 China Big Data Infrastructure Market Size (2014-2019)
7.2 Big Data Infrastructure Key Players in China
7.3 China Big Data Infrastructure Market Size by Type
7.4 China Big Data Infrastructure Market Size by Application
8 Japan
8.1 Japan Big Data Infrastructure Market Size (2014-2019)
8.2 Big Data Infrastructure Key Players in Japan
8.3 Japan Big Data Infrastructure Market Size by Type
8.4 Japan Big Data Infrastructure Market Size by Application
9 Southeast Asia
9.1 Southeast Asia Big Data Infrastructure Market Size (2014-2019)
9.2 Big Data Infrastructure Key Players in Southeast Asia
9.3 Southeast Asia Big Data Infrastructure Market Size by Type
9.4 Southeast Asia Big Data Infrastructure Market Size by Application
10 India
10.1 India Big Data Infrastructure Market Size (2014-2019)
10.2 Big Data Infrastructure Key Players in India
10.3 India Big Data Infrastructure Market Size by Type
10.4 India Big Data Infrastructure Market Size by Application
11 Central & South America
11.1 Central & South America Big Data Infrastructure Market Size (2014-2019)
11.2 Big Data Infrastructure Key Players in Central & South America
11.3 Central & South America Big Data Infrastructure Market Size by Type
11.4 Central & South America Big Data Infrastructure Market Size by Application
12 International Players Profiles
12.1 Dell
12.1.1 Dell Company Details
12.1.2 Company Description and Business Overview
12.1.3 Big Data Infrastructure Introduction
12.1.4 Dell Revenue in Big Data Infrastructure Business (2014-2019)
12.1.5 Dell Recent Development
12.2 IBM
12.2.1 IBM Company Details
12.2.2 Company Description and Business Overview
12.2.3 Big Data Infrastructure Introduction
12.2.4 IBM Revenue in Big Data Infrastructure Business (2014-2019)
12.2.5 IBM Recent Development
12.3 NetApp
12.3.1 NetApp Company Details
12.3.2 Company Description and Business Overview
12.3.3 Big Data Infrastructure Introduction
12.3.4 NetApp Revenue in Big Data Infrastructure Business (2014-2019)
12.3.5 NetApp Recent Development
12.4 Cisco
12.4.1 Cisco Company Details
12.4.2 Company Description and Business Overview
12.4.3 Big Data Infrastructure Introduction
12.4.4 Cisco Revenue in Big Data Infrastructure Business (2014-2019)
12.4.5 Cisco Recent Development
12.5 Intel
12.5.1 Intel Company Details
12.5.2 Company Description and Business Overview
12.5.3 Big Data Infrastructure Introduction
12.5.4 Intel Revenue in Big Data Infrastructure Business (2014-2019)
12.5.5 Intel Recent Development
12.6 Oracle
12.6.1 Oracle Company Details
12.6.2 Company Description and Business Overview
12.6.3 Big Data Infrastructure Introduction
12.6.4 Oracle Revenue in Big Data Infrastructure Business (2014-2019)
12.6.5 Oracle Recent Development
13 Market Forecast 2019-2025
13.1 Market Size Forecast by Regions
13.2 United States
13.3 Europe
13.4 China
13.5 Japan
13.6 Southeast Asia
13.7 India
13.8 Central & South America
13.9 Market Size Forecast by Product (2019-2025)
13.10 Market Size Forecast by Application (2019-2025)
14 Analyst's Viewpoints/Conclusions
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
12.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Disclaimer
15.3 Author Details
SDMR employs a three way data triangulation approach to arrive at market estimates. We use primary research, secondary research and data triangulation by top down and bottom up approach
Secondary Research:
Our research methodology involves in-depth desk research using various secondary sources. Data is gathered from association/government publications/databases, company websites, press releases, annual reports/presentations/sec filings, technical papers, journals, research papers, magazines, conferences, tradeshows, and blogs.
Key Data Points through secondary research-
Macro-economic data points
Import Export data
Identification of major market trends across various applications
Primary understanding of the industry for both the regions
Competitors analysis for the production capacities, key production sites, competitive landscape
Key customers
Production Capacity
Pricing Scenario
Cost Margin Analysis
Key Data Points through primary research-
Major factors driving the market and its end application markets
Comparative analysis and customer analysis
Regional presence
Collaborations or tie-ups
Annual Production, and sales
Profit Margins
Average Selling Price
Data Triangulation:
Data triangulation is done using top down and bottom approaches. However, to develop accurate market sizing estimations, both the methodologies are used to accurately arrive at the market size. Insert Image
