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Asia Pacific DataOps Platform Market Size, Share & Industry Trends Analysis Report By Deployment, By Service Model (Agile Development, DevOps and Lean Manufacturing), By Component, By Vertical, By Country and Growth Forecast, 2023 - 2030

  • PDF Icon

    Report

  • 159 Pages
  • June 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5852087
The Asia Pacific DataOps Platform Market should 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

By Deployment

  • Cloud
    • Public Cloud
    • Private Cloud
    • 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

Key Market Players

List of Companies Profiled in the Report:

  • 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.)

Unique Offerings

  • 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
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific DataOps Platform Market, by Deployment
1.4.2 Asia Pacific DataOps Platform Market, by Service Model
1.4.3 Asia Pacific DataOps Platform Market, by Component
1.4.4 Asia Pacific DataOps Platform Market, by Vertical
1.4.5 Asia Pacific DataOps Platform Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market composition & scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Analyst's Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
3.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2019, Jan - 2023, May) Leading Players
Chapter 4. Asia Pacific DataOps Platform Market by Deployment
4.1 Asia Pacific Cloud Market by Country
4.2 Asia Pacific DataOps Platform Market by Cloud Type
4.2.1 Asia Pacific Public Cloud Market by Country
4.2.2 Asia Pacific Private Cloud Market by Country
4.2.3 Asia Pacific Hybrid Cloud Market by Country
4.3 Asia Pacific On-premise Market by Country
Chapter 5. Asia Pacific DataOps Platform Market by Service Model
5.1 Asia Pacific Agile Development Market by Country
5.2 Asia Pacific DevOps Market by Country
5.3 Asia Pacific Lean Manufacturing Market by Country
Chapter 6. Asia Pacific DataOps Platform Market by Component
6.1 Asia Pacific Platform Market by Country
6.2 Asia Pacific Services Market by Country
Chapter 7. Asia Pacific DataOps Platform Market by Vertical
7.1 Asia Pacific BFSI Market by Country
7.2 Asia Pacific IT & Telecommunication Market by Country
7.3 Asia Pacific Retail Market by Country
7.4 Asia Pacific Media & Entertainment Market by Country
7.5 Asia Pacific Healthcare & Dental Market by Country
7.6 Asia Pacific Energy & Utilities Market by Country
7.7 Asia Pacific Manufacturing Market by Country
7.8 Asia Pacific Government Market by Country
7.9 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific DataOps Platform Market by Country
8.1 China DataOps Platform Market
8.1.1 China DataOps Platform Market by Deployment
8.1.1.1 China DataOps Platform Market by Cloud Type
8.1.2 China DataOps Platform Market by Service Model
8.1.3 China DataOps Platform Market by Component
8.1.4 China DataOps Platform Market by Vertical
8.2 Japan DataOps Platform Market
8.2.1 Japan DataOps Platform Market by Deployment
8.2.1.1 Japan DataOps Platform Market by Cloud Type
8.2.2 Japan DataOps Platform Market by Service Model
8.2.3 Japan DataOps Platform Market by Component
8.2.4 Japan DataOps Platform Market by Vertical
8.3 India DataOps Platform Market
8.3.1 India DataOps Platform Market by Deployment
8.3.1.1 India DataOps Platform Market by Cloud Type
8.3.2 India DataOps Platform Market by Service Model
8.3.3 India DataOps Platform Market by Component
8.3.4 India DataOps Platform Market by Vertical
8.4 South Korea DataOps Platform Market
8.4.1 South Korea DataOps Platform Market by Deployment
8.4.1.1 South Korea DataOps Platform Market by Cloud Type
8.4.2 South Korea DataOps Platform Market by Service Model
8.4.3 South Korea DataOps Platform Market by Component
8.4.4 South Korea DataOps Platform Market by Vertical
8.5 Singapore DataOps Platform Market
8.5.1 Singapore DataOps Platform Market by Deployment
8.5.1.1 Singapore DataOps Platform Market by Cloud Type
8.5.2 Singapore DataOps Platform Market by Service Model
8.5.3 Singapore DataOps Platform Market by Component
8.5.4 Singapore DataOps Platform Market by Vertical
8.6 Malaysia DataOps Platform Market
8.6.1 Malaysia DataOps Platform Market by Deployment
8.6.1.1 Malaysia DataOps Platform Market by Cloud Type
8.6.2 Malaysia DataOps Platform Market by Service Model
8.6.3 Malaysia DataOps Platform Market by Component
8.6.4 Malaysia DataOps Platform Market by Vertical
8.7 Rest of Asia Pacific DataOps Platform Market
8.7.1 Rest of Asia Pacific DataOps Platform Market by Deployment
8.7.1.1 Rest of Asia Pacific DataOps Platform Market by Cloud Type
8.7.2 Rest of Asia Pacific DataOps Platform Market by Service Model
8.7.3 Rest of Asia Pacific DataOps Platform Market by Component
8.7.4 Rest of Asia Pacific DataOps Platform Market by Vertical
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 IBM Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional & Segmental Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Product Launches and Product Expansions:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental Analysis
9.3.4 Recent strategies and developments:
9.3.4.1 Partnerships, Collaborations, and Agreements:
9.3.4.2 Product Launches and Product Expansions:
9.3.5 SWOT Analysis
9.4 Oracle Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expense
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.5.2 Product Launches and Product Expansions:
9.4.5.3 Acquisition and Mergers:
9.4.6 SWOT Analysis
9.5 Informatica, LLC
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent strategies and developments:
9.5.5.1 Product Launches and Product Expansions:
9.6 Teradata Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expense
9.6.5 Recent strategies and developments:
9.6.5.1 Product Launches and Product Expansions:
9.6.6 SWOT Analysis
9.7 Wipro Limited
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.6 SWOT Analysis
9.8 Accenture PLC
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expenses
9.8.5 Recent strategies and developments:
9.8.5.1 Product Launches and Product Expansions:
9.8.5.2 Acquisition and Mergers:
9.8.6 SWOT Analysis
9.9 SAS Institute, Inc.
9.9.1 Company Overview
9.10. Hitachi Vantara LLC (Hitachi Ltd.)
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 Recent strategies and developments:
9.10.5.1 Product Launches and Product Expansions:
9.10.5.2 Acquisition and Mergers:
9.10.6 SWOT Analysis

Companies Mentioned

  • 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.)

Methodology

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