The Asia Pacific DataOps Platform Market would witness market growth of 22.2% CAGR during the forecast period (2023-2030).
The market has been growing significantly in recent years as more firms seek more efficient ways to manage their data operations. Data operations platforms provide a framework for managing the entire data lifecycle, from data collection and processing to storage, analysis, and reporting. These systems are designed to manage the challenges of maintaining large, complicated databases automatically, cooperatively, and dynamically. One key driver propelling the market is the growing demand for real-time data processing and analysis. As businesses grow more data-driven, they must be able to access and analyze data in real-time to make decisions quickly.
In the next years, the market is anticipated to be driven by the demand for real-time data processing and analysis and the need for more efficient and collaborative data management solutions. Depending on the industry, businesses can use data in many ways. For instance, operational data from systems and equipment can provide information about productivity and efficiency in industrial firms. Leaders can devise methods to streamline crucial operational areas by analyzing which procedures create delays.
In 2020, due to the pandemic, the Australian e-commerce industry expanded. Due to social isolation, border closures, and lockdowns, Australia’s e-commerce expenditure reached $49 billion in 2021, up from $38 billion in 2020. According to Australia Post’s 2022 eCommerce Industry Report, approximately 9.2 million Australian households, or four out of five, made online purchases in 2021. More than 19 percent of all retail trade is now conducted online. Also, retailers and digital marketing agencies are anticipated to increase their efforts to provide e-commerce solutions and services. With the growing number of e-commerce and retail users, the sector will require a robust solution to better manage and utilize the generated data, which can be accomplished by the DataOps platforms, thereby driving market expansion in APAC.
The China market dominated the Asia Pacific DataOps Platform Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,152 million by 2030. The Japan market is estimated to grow a CAGR of 21.5% during (2023 - 2030). Additionally, The India market would experience a CAGR of 23% during (2023 - 2030).
Based on Deployment, the market is segmented into Cloud (Public Cloud, Private Cloud and Hybrid Cloud) and On-premise. Based on Service Model, the market is segmented into Agile Development, DevOps and Lean Manufacturing. Based on Component, the market is segmented into Platform and Services. Based on Vertical, the market is segmented into BFSI, IT & Telecommunication, Retail, Media & Entertainment, Healthcare & Dental, Energy & Utilities, Manufacturing, Government 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 Microsoft Corporation, IBM Corporation, Oracle Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Informatica, LLC, Teradata Corporation, Wipro Limited, Accenture PLC, SAS Institute, Inc., and Hitachi Vantara LLC (Hitachi Ltd.)
Scope of the Study
Market Segments covered in the Report:
By Deployment
- Cloud
o Public Cloud
o Private Cloud
o Hybrid Cloud - On-premise
By Service Model - Agile Development
- DevOps
- Lean Manufacturing
By Component - Platform
- Services
By Vertical - BFSI
- IT & Telecommunication
- Retail
- Media & Entertainment
- Healthcare & Dental
- Energy & Utilities
- Manufacturing
- Government
- Others
By Country - China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Companies Profiled - Microsoft Corporation
- IBM Corporation
- Oracle Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Informatica, LLC
- Teradata Corporation
- Wipro Limited
- Accenture PLC
- SAS Institute, Inc.
- Hitachi Vantara LLC (Hitachi Ltd.)
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