Market Overview:
The global big data platform market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for big data analytics and rising need for efficient data management solutions. The cloud-based segment is expected to dominate the global big data platform market during the forecast period, owing to its advantages such as low cost, scalability, and easy deployment. By application, banking is expected to be the largest segment in terms of revenue contribution in 2018. However, professional services are projected to witness highest CAGR during the forecast period due from growing demand for big data analytics across various industries.
Product Definition:
A Big Data Platform is a technology platform that enables organizations to manage and process large volumes of data. The importance of a Big Data Platform is that it can help organizations efficiently and effectively manage and process large amounts of data.
Cloud-Based:
Cloud-based solutions are expected to gain traction in the Big Data Platform market owing to factors such as low cost of maintenance, easy deployment and integration, and high scalability. The major factor driving the growth of this market is data volume which has resulted in need for scalable infrastructure.
The cloud computing technology offers a platform where information can be stored & retrieved at any place.
On-Premise:
On-premise software is installed and run from the customer's site. The data generated by the on-premise software can be directly accessed by authorized users. On-premise solutions are mostly used for internal purposes, such as data analysis or reporting, which require a high level of security than cloud solutions provide.
Cloud computing has emerged as a prominent technology due to its ability to offer services at low costs.
Application Insights:
The banking, financial services, and insurance (BFSI) sector accounted for the largest market share in 2017. The BFSI sector is expected to be followed by the manufacturing segment. The professional services segment is also expected to witness significant growth over the forecast period owing to increasing demand from various industries such as IT and telecom, media and entertainment, healthcare and life sciences among others. Other applications include public sectors such as government or education where big data analytics helps in improving various functions including student admissions or teacher evaluations which further boosts industry growth across different regions of the world.
Regional Analysis:
North America dominated the market in 2017. The growth of this region can be attributed to the presence of a large number of players such as Amazon Web Services, Inc.; IBM Corporation; and Google LLC. These companies are focusing on developing new technologies and applications for big data platform that would enable businesses to gain insights from massive volumes of data more efficiently. Moreover, these companies are also offering their services through partnerships with other vendors thereby making it difficult for any single player to dominate this space over the next few years.
Asia Pacific is expected to grow at a significant rate over the forecast period owing to increasing investments by various governments in developing economies coupled with growing adoption by enterprises operating across various sectors including manufacturing, retail & e-commerce, banking & financial services, telecom sector among others.
Growth Factors:
- Increasing demand for data-driven decision making: The growth of big data platforms is propelled by the increasing demand for data-driven decision making across industries. Organizations are looking to big data platforms to help them make better and faster decisions by analyzing large volumes of unstructured data.
- Proliferation of connected devices and sensors: The growth of the Internet of Things (IoT) is leading to the proliferation of connected devices and sensors, which generate huge volumes of streaming data. Big data platforms are well suited to handle this type of streaming data, helping organizations derive insights from it in real time.
- Emergence of new applications: Big Data Platforms are being used for a variety if new applications such as fraud detection, predictive maintenance, targeted marketing, etc., that require fast analysisof large amounts ifdata .This is driving the need for bigdataplatforms .
- . Growth in cloud computing: Cloud computing is providing a scalable platformfor deployingbig dataprocessing workloadsandishelpingto drive downthe costof deployingandmanagingbig datasystems .Thisismakingbig dataprocessingmoreaccessibletomoreorganizations ,leadingtothegrowthofthebigdatamarket .
- . Increased focus on security and privacy: As organizations amass more and more sensitive information – including personal identifiable information (PII) – they are becoming increasingly concerned about protecting it from unauthorized access or theft.
Scope Of The Report
Report Attributes
Report Details
Report Title
Big Data Platform Market Research Report
By Type
Cloud-Based, On-Premise, Big Data Platfor
By Application
Banking, Manufacturing, Professional Services, Government, Others
By Companies
Microsoft, Google, AWS, IBM, Dell, Splunk, Micro Focus, SAP, Accenture, Informatica, Teradata, Oracle, Cloudera, Palantir, HPE, Cisco, SAS, Big Data Platfor
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
240
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Big Data Platform Market Report Segments:
The global Big Data Platform market is segmented on the basis of:
Types
Cloud-Based, On-Premise, Big Data Platfor
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, Manufacturing, Professional Services, Government, Others
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:
- Microsoft
- Google
- AWS
- IBM
- Dell
- Splunk
- Micro Focus
- SAP
- Accenture
- Informatica
- Teradata
- Oracle
- Cloudera
- Palantir
- HPE
- Cisco
- SAS
- Big Data Platfor
Highlights of The Big Data Platform 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:
- Cloud-Based
- On-Premise
- Big Data Platfor
- By Application:
- Banking
- Manufacturing
- Professional Services
- Government
- Others
- 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 Big Data Platform 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.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
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?
A Big Data Platform is a software platform that enables organizations to manage and analyze large data sets. It provides a comprehensive set of tools and services for managing, processing, analyzing, visualizing and sharing data.
Some of the major companies in the big data platform market are Microsoft, Google, AWS, IBM, Dell, Splunk, Micro Focus, SAP, Accenture, Informatica, Teradata, Oracle, Cloudera, Palantir, HPE, Cisco, SAS, Big Data Platfor.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Big Data Platform Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Big Data Platform Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Big Data Platform Market - Supply Chain
4.5. Global Big Data Platform Market Forecast
4.5.1. Big Data Platform Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Big Data Platform Market Size (000 Units) and Y-o-Y Growth
4.5.3. Big Data Platform Market Absolute $ Opportunity
5. Global Big Data Platform Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Big Data Platform Market Size and Volume Forecast by Type
5.3.1. Cloud-Based
5.3.2. On-Premise
5.3.3. Big Data Platfor
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Big Data Platform Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Big Data Platform Market Size and Volume Forecast by Application
6.3.1. Banking
6.3.2. Manufacturing
6.3.3. Professional Services
6.3.4. Government
6.3.5. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Big Data Platform Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Big Data Platform Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Big Data Platform Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Big Data Platform Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Big Data Platform Demand Share Forecast, 2019-2026
9. North America Big Data Platform Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Big Data Platform Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Big Data Platform Market Size and Volume Forecast by Application
9.4.1. Banking
9.4.2. Manufacturing
9.4.3. Professional Services
9.4.4. Government
9.4.5. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Big Data Platform Market Size and Volume Forecast by Type
9.7.1. Cloud-Based
9.7.2. On-Premise
9.7.3. Big Data Platfor
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Big Data Platform Demand Share Forecast, 2019-2026
10. Latin America Big Data Platform Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Big Data Platform Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Big Data Platform Market Size and Volume Forecast by Application
10.4.1. Banking
10.4.2. Manufacturing
10.4.3. Professional Services
10.4.4. Government
10.4.5. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Big Data Platform Market Size and Volume Forecast by Type
10.7.1. Cloud-Based
10.7.2. On-Premise
10.7.3. Big Data Platfor
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Big Data Platform Demand Share Forecast, 2019-2026
11. Europe Big Data Platform Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Big Data Platform Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Big Data Platform Market Size and Volume Forecast by Application
11.4.1. Banking
11.4.2. Manufacturing
11.4.3. Professional Services
11.4.4. Government
11.4.5. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Big Data Platform Market Size and Volume Forecast by Type
11.7.1. Cloud-Based
11.7.2. On-Premise
11.7.3. Big Data Platfor
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Big Data Platform Demand Share, 2019-2026
12. Asia Pacific Big Data Platform Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Big Data Platform Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Big Data Platform Market Size and Volume Forecast by Application
12.4.1. Banking
12.4.2. Manufacturing
12.4.3. Professional Services
12.4.4. Government
12.4.5. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Big Data Platform Market Size and Volume Forecast by Type
12.7.1. Cloud-Based
12.7.2. On-Premise
12.7.3. Big Data Platfor
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Big Data Platform Demand Share, 2019-2026
13. Middle East & Africa Big Data Platform Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Big Data Platform Market Size and Volume 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. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Big Data Platform Market Size and Volume Forecast by Application
13.4.1. Banking
13.4.2. Manufacturing
13.4.3. Professional Services
13.4.4. Government
13.4.5. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Big Data Platform Market Size and Volume Forecast by Type
13.7.1. Cloud-Based
13.7.2. On-Premise
13.7.3. Big Data Platfor
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Big Data Platform Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Big Data Platform Market: Market Share Analysis
14.2. Big Data Platform Distributors and Customers
14.3. Big Data Platform Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Microsoft
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. Google
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. AWS
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. IBM
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Dell
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Splunk
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Micro Focus
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. SAP
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Accenture
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Informatica
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Teradata
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. Oracle
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Cloudera
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. Palantir
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. HPE
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. Cisco
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. SAS
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. Big Data Platfor
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
