The report’s insightful data is intended to enlighten the readers interested in this business sector about the lucrative growth opportunities in the Hadoop Big Data Analytics market. According to our analysts, the global Hadoop Big Data Analytics market is anticipated to expand substantially over the forecast timeline (2021-2028), registering a staggering CAGR of 12.2%.
This is expected to increase adoption of Hadoop big data analytics solutions among organizations across regions. In addition, data volume is increasing considerably as a result of rapid digitization, which has led to increased demand for Hadoop big data analytics solutions for analyzing such data and generating insights for organizations. This is expected to boost market revenue growth.
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Competitive Landscape:
Key market players operating in the global Hadoop Big Data Analytics market and studied in the report include Microsoft Corporation, Google LLC, Oracle Corporation, Amazon Web Services, Hewlett Packard Enterprise, SAP SE, Salesforce.com, Inc., Micro Focus International plc, Splunk Inc., and Imply Corporation.
Emergen Research has segmented the global Hadoop big data analytics on the basis of component, deployment, application, end-use, and region:
- Component Outlook (Revenue, USD Billion; 2018–2028)
- Solution
- Services
- Deployment Outlook (Revenue, USD Billion; 2018–2028)
- On-premises
- Cloud
- Application Outlook (Revenue, USD Billion; 2018–2028)
- Customer Analytics
- Risk Fraud Analytics
- Security Intelligence
- Internet of Things (IoT)
- Supply Chain Analytics
- Others
- End-Use Outlook (Revenue, USD Billion; 2018–2028)
- Manufacturing
- Retail E-commerce
- Transportation and Logistics
- BFSI
- Healthcare
- Media Entertainment
- Energy Utilities
- Government
- Real Estate
- Others
Some Key Highlights from the Report
- Solution segment revenue is expected to expand at a significant CAGR during the forecast period. Hadoop big data analytics solutions are used by businesses to manage, scale, and distribute customer and organizational data. This also helps with data collection from specialized machine data sets and during report creation.
- Cloud segment is expected to lead, in terms of revenue, over the forecast period. As cloud deployment enables quick flexibility, on-demand capabilities, extensive network connectivity, and improved resource pooling, there is a growing demand for cloud-based Hadoop big data analytics solutions.
- Risk fraud analytics segment is expected to account for considerable revenue share in the market over the forecast period. Risk and fraud assessments are becoming highly important in businesses. Risk and fraud analytics provide a detailed insight on the potential and existing issues.
- BFSI industry is expected to record considerable revenue growth during the forecast period. As the BFSI industry is strictly regulated, it needs new approaches. Organizations in the sector are replacing existing systems with modern software solutions. This is expected to increase adoption of Hadoop big data analytics solutions in the BFSI sector.
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Key Features of the Report:
- The report covers Hadoop Big Data Analytics business overview, product portfolios, market share, supply chain analysis, demand and supply ratio, import/export details, and product and consumption patterns
- The report covers different business expansion strategies undertaken by prominent players to offer a better understanding of the competitive landscape
- The report covers an extensive 8-year analysis of the Hadoop Big Data Analytics market
- Extensive analysis of the key elements like drivers, restraints, limitations, opportunities, and threats
Key Geographies Profiled in the Report:
- North America(the U.S., Mexico, and Canada)
- Asia Pacific(China, Japan, India, and Rest of Asia Pacific)
- Europe(the U.K., France, Germany, and Rest of Europe)
- Latin America(Brazil and Rest of Latin America)
- Middle East Africa(GCC Countries and Rest of Middle East Africa)
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