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Asia-Pacific Data as a Service (DaaS) Market Research Report: Forecast (2024-2030)

Asia-Pacific Data as a Service (DaaS) Market Report - By Deployment (Public Cloud, Private Cloud, Hybrid & Multi Cloud), By Organization Size (Large Enterprises Small & medium Enterprises), By End Use... ... rprises), By End User (BFSI, Healthcare, Retail, IT & Telecom, Government, Others (Media & Entertainment, Industrial, etc.)), and Others Read more

ICT & Electronics
May 2024
Pages 170
Report Format: PDF, Excel, PPT

Market Definition

Data as a service (DaaS) is a data management platform that utilizes cloud-based networking to deliver enterprise requirements, including data storage, integration, processing, and analytic services. This service helps the enterprises to minimize their internal technology & server costs through on-demand data for consumers.

Market Insights & Analysis: Asia-Pacific Data as a Service (DaaS) Market (2024-30):

The Asia-Pacific Data as a Service (DaaS) Market size is estimated to grow at a CAGR of around 22% during the forecast period, i.e., 2024-30. The Asia Pacific region has been experiencing unprecedented growth in its fintech industry due to the rising adoption of online payment platforms, a surging count of startups in the region, and the increasing integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Blockchain, Industry 4.0, BigData, among others. In recent years, internet penetration & smartphone accessibility in the region have drastically increased. As per the Global System for Mobile Communications (GSMA), in 2022, almost 1.23 billion individuals in the Asia-Pacific region use mobile internet services. This higher internet usage is creating a conducive environment for the adoption of digital services in different industry verticals, like BFSI, IT & Telecom, etc. Therefore, several industries have started providing their service through online channels. According to the International Data Corporation (IDC), almost 22% of the organizations in Asia-Pacific have allocated substantial funds to use generative AI within their enterprise. This increasing inclination towards digital platforms is resulting in the increased requirement for solutions that help in resource management & streamlining of business operations. Consequently, this is leading to the extensive usage of the DaaS, enlarging Asia-Pacific Data as a Service (DaaS) market size.

Report Coverage	Details
Study Period	Historical Data: 2019-22
	Base Year: 2023
	Forecast Period: 2024-30
CAGR (2024-2030)	22%
Country Covered	China, India, Japan, South Korea, Singapore, Rest of Asia Pacific
Key Companies Profiled	Microsoft Corporation, Google, Amazon Web Services, IBM Corporation, Oracle Corporation, Alibaba Group Holding Limited, SAP SE, Teradata Corporation, SAS Institute, Inc., Huawei Technologies Co., Ltd., Bloomberg Finance L.P, IQVIA, TIBCO Software, Thomson Reuters Corporation, Morningstar, Inc., Equifax, Inc., Moody's Investors Service, Inc., MasterCard Advisors LLC, Dow Jones & Company, Inc., Hitachi Vantara, Information Builders, NetApp, Inc., and Others
Unit Denominations	USD Million/Billion

Further, traditionally, organizations used to store & manage their data in-house, which required a dedicated team of experts possessing high technical expertise in technologies, including AI, BigData, ML, etc. As a result, the cost of operations for the enterprises was higher. As per the research by Forester Research Inc., an IT advisory company, the total annual cost of internal storage for 100Tb data is approximately USD1 million, whereas the cloud-based storage solutions are only USD200,000. Therefore, to cut down the overhead costs, enterprises are increasingly using the DaaS solution since it helps in the management of large datasets. Additionally, the DaaS solutions also provide advanced analytical services, which help in sales, marketing, demand forecasting, resource management, supply chain management, and behavior analytics, among others. Therefore, businesses are increasingly adopting these solutions for effective management & storage of data.

Furthermore, different industries in Asia-Pacific are undergoing a rapid digital transformation, where these companies are integrating emerging technologies, like Artificial Intelligence (AI), Machine Learning (ML), etc., within their ecosystems. Therefore, to ensure the smooth incorporation of the advanced technologies by delegating the risks & responsibilities of data management to a third-party cloud-based service provider would continue to uplift the demand for DaaS solutions in the forecast years.

Market Segmentation
Introduction
1. Product Definition
2. Research Process
3. Assumptions
Executive Summary
Asia-Pacific Data as a Service (DaaS) Market Start-Up Ecosystem
1. Entrepreneurial Activity
2. Year on Year Funding Received
3. Funding Received by Top Companies
4. Key Investors Active in the Market
5. Series Wise Funding Received
  1. Seed Funding
  2. Angel Investing
  3. Venture Capitalists (VC) Funding
  4. Others
Asia Pacific Data as a Service (DaaS) Business Model Analysis
1. Volume-based
2. Data type-based
3. Consumption-based
Asia-Pacific Data as a Service (DaaS) Market Trends & Insights
Asia-Pacific Data as a Service (DaaS) Market Dynamics
1. Growth Drivers
2. Challenges
Asia-Pacific Data as a Service (DaaS) Market Policies & Regulations
Asia-Pacific Data as a Service (DaaS) Market Hotspot & Opportunities
Asia-Pacific Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment
    1. Public Cloud - Market Size & Forecast 2019-2030, USD Million
    2. Private Cloud - Market Size & Forecast 2019-2030, USD Million
    3. Hybrid & Multi Cloud - Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size
    1. Large Enterprises- Market Size & Forecast 2019-2030, USD Million
    2. Small & medium Enterprises- Market Size & Forecast 2019-2030, USD Million
  3. By End User
    1. BFSI - Market Size & Forecast 2019-2030, USD Million
    2. Healthcare - Market Size & Forecast 2019-2030, USD Million
    3. Retail - Market Size & Forecast 2019-2030, USD Million
    4. IT & Telecom - Market Size & Forecast 2019-2030, USD Million
    5. Government - Market Size & Forecast 2019-2030, USD Million
    6. Others (Media & Entertainment, Industrial, etc.) - Market Size & Forecast 2019-2030, USD Million
  4. By Country
    1. China
    2. India
    3. Japan
    4. South Korea
    5. Singapore
    6. Rest of Asia-Pacific
  5. By Company
    1. Competition Characteristics
    2. Market Share & Analysis
China Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment- Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size- Market Size & Forecast 2019-2030, USD Million
  3. By End User- Market Size & Forecast 2019-2030, USD Million
India Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment- Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size- Market Size & Forecast 2019-2030, USD Million
  3. By End User- Market Size & Forecast 2019-2030, USD Million
Japan Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment- Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size- Market Size & Forecast 2019-2030, USD Million
  3. By End User- Market Size & Forecast 2019-2030, USD Million
South Korea Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment- Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size- Market Size & Forecast 2019-2030, USD Million
  3. By End User- Market Size & Forecast 2019-2030, USD Million
Singapore Data as a Service (DaaS) Market Outlook, 2019-2030F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Deployment- Market Size & Forecast 2019-2030, USD Million
  2. By Organization Size- Market Size & Forecast 2019-2030, USD Million
  3. By End User- Market Size & Forecast 2019-2030, USD Million
Asia-Pacific Data as a Service (DaaS) Market Key Strategic Imperatives for Success & Growth
Competitive Outlook
1. Company Profiles
  1. Technology Providers
    1. Microsoft Corporation
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    2. Google
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    3. Amazon Web Services
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    4. IBM Corporation
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    5. Oracle Corporation
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    6. Alibaba Group Holding Limited
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    7. SAP SE
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    8. Teradata Corporation
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    9. SAS Institute, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    10. Huawei Technologies Co., Ltd.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    11. Bloomberg Finance L.P
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    12. IQVIA
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    13. TIBCO Software
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    14. Others
  2. Key Data Aggregators
    1. Thomson Reuters Corporation
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    2. Morningstar, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    3. Equifax, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    4. Moody's Investors Service, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    5. MasterCard Advisors LLC
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    6. Dow Jones & Company, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    7. Hitachi Vantara
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    8. Information Builders
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    9. NetApp, Inc.
      1. Business Description
      2. Product Portfolio
      3. Strategic Alliances or Partnerships
      4. Recent Developments
      5. Financial Details
      6. Others
    10. Others
Disclaimer

MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making

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