The Asia Pacific Hadoop Market is expected to witness market growth of 39.2% CAGR during the forecast period (2021 2027).
The growing availability of mobile devices is one of the factors responsible for the growth of visualization-based data discovery solutions. Companies that continue to rely on highly centralized report creation by several fully skilled specialists are missing out on every faster, more cost-effective, and many others. Truly democratic business intelligence model that utilizes the interplay of the flexible workforce and Big Data to speed up insights and improve collaboration.
The companies deliver Hadoop-based data management through the cloud on a pay-per-use premise, reducing infrastructure waste and optimizing storage and server efficiency. Enterprises that employ on-premises software frequently pay for resources used rarely. Businesses may pay for only whatever it need and consume utilizing HDaaS solutions. It also aids in the lowering of project levels and works by employing only such resources that are required.
The Asia Pacific is rapidly becoming a central area in the Hadoop market. The explosion of data as a result of the widespread use of digital equipment has prompted businesses to deploy data-driven application forms to filter and handle this information. Hadoop is gaining clout as the foundation for next-generation data-driven applications.
Countries such as India, China, South Korea, Japan, and others are supposed to maintain regional market growth. Due to an increasing number of stores and emerging SMEs utilizing public cloud-based big data services. Moreover, local manufacturers providing BDaaS services are concentrating on acquisitions and mergers as well as partnerships to introduce various big data initiatives. For example, SMEs in India and Bangladesh recently completed a partnership with National Research Systems (NRS) to launch the Big Data2 CSA project in Southeast Asia.
The China market dominated the Asia Pacific Hadoop Market by Country in 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $27,228.5 million by 2027. The Japan market is estimated to grow a CAGR of 38.3% during (2021 - 2027). Additionally, The India market is expected to exhibit a CAGR of 40% during (2021 - 2027).
Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises (SMEs). Based on Component, the market is segmented into Services, Software, and Hardware. Based on Deployment Model, the market is segmented into On-premise, Cloud, and Hybrid. Based on Industry, the market is segmented into IT & Telecommunications, BFSI, Retail & Consumer Goods, Manufacturing, Healthcare, Government & Defense, Media & Entertainment, Energy & Utility, Trade & Transportation, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Hitachi Vantara LLC (Hitachi Ltd.), Fair Isaac Corporation, MapR Technologies, MarkLogic, Microsoft Corporation, and Teradata Corporation.
The growing availability of mobile devices is one of the factors responsible for the growth of visualization-based data discovery solutions. Companies that continue to rely on highly centralized report creation by several fully skilled specialists are missing out on every faster, more cost-effective, and many others. Truly democratic business intelligence model that utilizes the interplay of the flexible workforce and Big Data to speed up insights and improve collaboration.
The companies deliver Hadoop-based data management through the cloud on a pay-per-use premise, reducing infrastructure waste and optimizing storage and server efficiency. Enterprises that employ on-premises software frequently pay for resources used rarely. Businesses may pay for only whatever it need and consume utilizing HDaaS solutions. It also aids in the lowering of project levels and works by employing only such resources that are required.
The Asia Pacific is rapidly becoming a central area in the Hadoop market. The explosion of data as a result of the widespread use of digital equipment has prompted businesses to deploy data-driven application forms to filter and handle this information. Hadoop is gaining clout as the foundation for next-generation data-driven applications.
Countries such as India, China, South Korea, Japan, and others are supposed to maintain regional market growth. Due to an increasing number of stores and emerging SMEs utilizing public cloud-based big data services. Moreover, local manufacturers providing BDaaS services are concentrating on acquisitions and mergers as well as partnerships to introduce various big data initiatives. For example, SMEs in India and Bangladesh recently completed a partnership with National Research Systems (NRS) to launch the Big Data2 CSA project in Southeast Asia.
The China market dominated the Asia Pacific Hadoop Market by Country in 2020, and is expected to continue to be a dominant market till 2027; thereby, achieving a market value of $27,228.5 million by 2027. The Japan market is estimated to grow a CAGR of 38.3% during (2021 - 2027). Additionally, The India market is expected to exhibit a CAGR of 40% during (2021 - 2027).
Based on Enterprise Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises (SMEs). Based on Component, the market is segmented into Services, Software, and Hardware. Based on Deployment Model, the market is segmented into On-premise, Cloud, and Hybrid. Based on Industry, the market is segmented into IT & Telecommunications, BFSI, Retail & Consumer Goods, Manufacturing, Healthcare, Government & Defense, Media & Entertainment, Energy & Utility, Trade & Transportation, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Hitachi Vantara LLC (Hitachi Ltd.), Fair Isaac Corporation, MapR Technologies, MarkLogic, Microsoft Corporation, and Teradata Corporation.
Scope of the Study
Market Segments Covered in the Report:
By Enterprise Size
- Large Enterprises
- Small & Medium Enterprises (SMEs)
By Component
- Services
- Software
- Hardware
By Deployment Model
- On-premise
- Cloud
- Hybrid
By Industry
- IT & Telecommunications
- BFSI
- Retail & Consumer Goods
- Manufacturing
- Healthcare
- Government & Defense
- Media & Entertainment
- Energy & Utility
- Trade & Transportation
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Amazon Web Services, Inc.
- Cisco Systems, Inc.
- Cloudera, Inc.
- Datameer, Inc.
- Hitachi Vantara LLC (Hitachi Ltd.)
- Fair Isaac Corporation
- MapR Technologies
- MarkLogic
- Microsoft Corporation
- Teradata Corporation
Unique Offerings from the publisher
- Exhaustive coverage
- The highest number of market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific Hadoop Market by Enterprise Size
Chapter 5. Asia Pacific Hadoop Market by Component
Chapter 6. Asia Pacific Hadoop Market by Deployment Model
Chapter 7. Asia Pacific Hadoop Market by Industry
Chapter 8. Asia Pacific Hadoop Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Amazon Web Services, Inc.
- Cisco Systems, Inc.
- Cloudera, Inc.
- Datameer, Inc.
- Hitachi Vantara LLC (Hitachi Ltd.)
- Fair Isaac Corporation
- MapR Technologies
- MarkLogic
- Microsoft Corporation
- Teradata Corporation
Methodology
LOADING...
