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Kenneth Research, in its repository of market research reports, has recently added a report on Hadoop Big Data Analytics Market that emphasizes the latest trends, key opportunities, drivers, and challenges associated with the growth of the market during the forecast period, i.e., 2022 – 2031. The Hadoop Big Data Analytics Market is anticipated to grow primarily on account of the growing trade of ICT goods and services worldwide. According to the statistics by the World Bank, the exports of ICT goods globally increased from 11.164% of total goods exports in 2017 to 11.53% of total goods exports in 2019.
The U.S. Market recovers fast; In a release on May 4th, 2021, the U.S. Bureau and Economic Analysis and U.S. Census Bureau mention the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4 billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) average exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilst imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Hadoop Big Data Analytics Market products.
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The Global Hadoop Big Data Analytics Market was valued at USD 6.86 billion in 2016 and is projected to reach USD 198.76 billion by 2025, growing at a CAGR of 45.36% from 2017 to 2025.
Hadoop is a distributed processing technology used for Big Data analysis. Big data analytics refers to the strategy of analyzing large volumes of data, or big data. To maximize the value of traditional and multi-structured data assets, companies need to deploy technologies that integrate Hadoop and relational database systems. Hadoop provides several benefits for big data analytics which includes – high scalability, cost effectiveness, flexible, fast processing, and is resilient to failure.
Market Dynamics:
1. Market Drivers
1.1 Need to increase operational efficiency and affordable business processes
1.2 Innovation in technologies drives business growth
1.3 Emergence of IoT and big data
1.4 Rising need for big data analytics
2. Market Restraints
2.1 Concerns for data security on hadoop big data platform
2.2 Lack of technical expertise
2.3 Increasing variety of data
Market Segmentation:
The Global Hadoop Big Data Analytics Market is segmented on the application, component, vertical, and region.
1. Application:
1.1 Distributed Coordination Service
1.2 Risk & Fraud Analytics
1.3 Customer Analytics
1.4 Merchandizing & Supply Chain Analytics
1.5 Operational Intelligence
1.6 Internet of Things
1.7 Offloading Mainframe Application
1.8 Security Intelligence
1.9 Linguistic Analytics
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2. By Deployment Mode:
2.1 Cloud-based
2.2 On-premises
3. By Component:
3.1 Software
3.1.1 Performance Monitoring Software
3.1.2 Management Software
3.1.3 Packaged Software
3.1.4 Application Software
3.2 Services
3.2.1 Consulting & Development Services
3.2.2 Training & Support Services
3.2.3 Admin & Managed Services
4. By Vertical:
4.1 Healthcare
4.2 Government and Defense
4.3 IT and Telecom
4.4 Education and Research
4.5 Transportation and SCM
4.6 Retail and Consumer Goods
4.7 Manufacturing
4.8 Others
5. By Region:
5.1 North America (U.S., Canada, Mexico)
5.2 Europe (Germany, UK, France, Rest of Europe)
5.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
5.4 Latin America (Brazil, Argentina, Rest of Latin America)
5.5 Middle East & Africa
Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. SAP SE
3. Amazon Web Services (AWS)
4. Pentaho Corporation
5. Tableau Software, Inc.
6. Microsoft Corporation
7. Pivotal Software, Inc.
8. Teradata Corporation
9. Cloudera, Inc.
10. Marklogic Corporation
These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.
RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH:
Research study on the Global Hadoop Big Data Analytics Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.
To know more about the research methodology of verified market research and other aspects of the research study, kindly get in touch with our sales team
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Kenneth Research provides scheduled syndicated reports that help industry professionals and organizations decipher market trends to take significant decisions and plan strategies. We cater to a wide range of industries including healthcare & pharmaceuticals, ICT & telecom, automotive & transportation, energy & power, chemicals, FMCG & food, aerospace & defense, among others. Our research team ensures to track and analyze the industry on a regular basis to offer strategic business consultancy services on a global level. We, at Kenneth Research, are adept at capturing descriptive insights on crucial topics to help our clients make their informed decisions.
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