Asia Pacific Data as a Service (DaaS) Market Growth, Size, Trends, Share and Future Outlook

Asia Pacific Data as a Service (DaaS) Market Size- By Development, By Organisation Size, By End User- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Asia Pacific Data as a Service (DaaS) Market Size- By Development, By Organisation Size, By End User- Regional Outlook, Competitive Strategies and Segment Forecast to 2033

Published: Jul 2024 Report ID: IACT24136 Pages: 1 - 157 Formats*:     
Category : Information & Communications Technology
Asia Pacific Data as a Service (DaaS) Market Introduction and Overview

According to SPER Market Research, the Asia Pacific Data as a Service (DaaS) Market is estimated to reach USD XX billion by 2033 with a CAGR 22.21%.

The report includes an in-depth analysis of the Asia Pacific Data as a Service (DaaS) Market, including market size and trends, product mix, distribution channels, and supplier analysis. Data as a service (DaaS) is a platform for managing data that leverages cloud-based networking to provide enterprise needs including processing, analysis, integration, and storage of data. This service provides customers with on-demand data, allowing businesses to reduce their own technology and server costs.

  • January 2023: Google Cloud Platform launches BigQuery Omni, a new tool that allows organisations to compare data from on-premises and cloud sources.
  • February 2023: Amazon Web Services launches Amazon Managed Data Warehouse for SQL Server, a fully managed solution.
  • In March 2023, Microsoft announced the public release of Azure Data Lake Analytics Gen2, a new version of their cloud-based data lake analytics service that promised better speed, scalability, and security.
Asia Pacific Data as a Service (DaaS) Market
Market Opportunities and Challenges

Opportunities: The increase in data consumption across a variety of processes and systems to generate important insights in a company is likely to drive the growth of the data as a service (DaaS) market during the forecast period. Furthermore, the growing acceptance of the data as a service model in auditing and accounting, as well as global digitization, are expected to drive growth in the data as a service (DaaS) market. Furthermore, the expansion of digital businesses is expected to boost the data as a service (DaaS) market. Furthermore, expanding digital enterprises and increased consumption of external data will create new opportunities for the data as a service (DaaS) market to flourish in the future years. 

Challenges: DaaS deployment has many benefits, but there are also a number of obstacles that could prevent the industry from expanding in the Asia-Pacific region. Data security, privacy, and appropriate governance are an organization's top priorities. Additionally, in order to use DaaS, the company must move all of its data from its on-premise location to the cloud. The sharing of data by the organisation may therefore contain information on mission-critical programmes, customer information, business secrets, etc., which raises the risk of privacy. In light of this, if the DaaS vendor's security is out of date, there is a high likelihood of data vulnerability & exposure. Thus, this causes anxiety about data security within the company, which could further impede the adoption of DaaS.

Asia Pacific Data as a Service (DaaS) Market


Market Competitive Landscape
The DaaS industry is highly competitive due to the existence of numerous small and large firms who operate in both domestic and international markets. The market is fragmented, with key competitors pursuing product and service innovation strategies, as well as mergers and acquisitions. Major market players include IBM Corporation, Oracle Corporation, SAP SE, and Bloomberg Finance LP, among others.

Scope of the Report:
 Report Metric Details
 Market size available for years 2020-2033
 Base year considered 2023
 Forecast period 2024-2033
 Segments coveredBy Development, By Organisation Size, By End User
 Regions covered
China, Japan, India, South Korea, Australia, Indonesia, Others.
 Companies Covered
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.
COVID-19 Impact on Asia Pacific Data as a Service (DaaS) Market
The COVID-19 epidemic has had a favourable impact on the growth of the data-as-a-service business. The spread of the pandemic has highlighted the importance of data-driven decision-making, particularly during times of uncertainty, as businesses across industries sought to understand changing consumer behaviours, Supply chain disruptions, and industry developments are driving demand for DaaS solutions that can provide relevant and up-to-date data for decision-making.

Key Target Audience:
  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)
  • Financial Services Companies
  • Healthcare and Life Sciences Organizations
  • Retail and E-commerce Businesses
  • Telecommunications Providers
  • Government and Public Sector Agencies
  • IT and Technology Firms
  • Media and Entertainment Companies
  • Education and Research Institutions
Our in-depth analysis of the Asia Pacific Data as a Service (DaaS) Market includes the following segments:
By Development:
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
  • By Organisation Size:
  • SMEs
  • Large Enterprises
  • By End User:
  • BFSI
  • Healthcare
  • Retail
  • IT and Telecom
  • Government
  • Others
  • Key Topics Covered in the Report:
    • Asia Pacific Data as a Service (DaaS) Market Size (FY’2024-FY’2033)
    • Overview of Asia Pacific Data as a Service (DaaS) Market
    • Segmentation of Asia Pacific Data as a Service (DaaS) Market By Development (Public Cloud, Private Cloud, Hybrid Cloud)
    • Segmentation of Asia Pacific Data as a Service (DaaS) Market By Organisation Size (SMEs, Large Enterprises)
    • Segmentation of Asia Pacific Data as a Service (DaaS) Market By End Users (BFSI, Healthcare, Retail, IT and Telecom, Government, Others)
    • Statistical Snap of Asia Pacific Data as a Service (DaaS) Market
    • Expansion Analysis of Asia Pacific Data as a Service (DaaS) Market
    • Problems and Obstacles in Asia Pacific Data as a Service (DaaS) Market
    • Competitive Landscape in the Asia Pacific Data as a Service (DaaS) Market
    • Impact of COVID-19 and Demonetization on Asia Pacific Data as a Service (DaaS) Market
    • Details on Current Investment in Asia Pacific Data as a Service (DaaS) Market
    • Competitive Analysis of Asia Pacific Data as a Service (DaaS) Market
    • Prominent Players in the Asia Pacific Data as a Service (DaaS) Market
    • SWOT Analysis of Asia Pacific Data as a Service (DaaS) Market
    • Asia Pacific Data as a Service (DaaS) Market Future Outlook and Projections (FY’2024-FY’2033)
    • Recommendations from Analyst
    1. Introduction
    1.1. Scope of the report 
    1.2. Market segment analysis

    2. Research Methodology
    2.1. Research data source
    2.1.1. Secondary Data
    2.1.2. Primary Data
    2.1.3. SPER’s internal database
    2.1.4. Premium insight from KOL’s
    2.2. Market size estimation
    2.2.1. Top-down and Bottom-up approach
    2.3. Data triangulation

    3. Executive Summary

    4. Market Dynamics
    4.1. Driver, Restraint, Opportunity and Challenges analysis
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunities
    4.1.4. Challenges
    4.2. COVID-19 Impacts of the Asia Pacific Data as a Service (DaaS) Market 

    5. Market variable and outlook
    5.1. SWOT Analysis
    5.1.1. Strengths
    5.1.2. Weaknesses
    5.1.3. Opportunities
    5.1.4. Threats
    5.2. PESTEL Analysis
    5.2.1. Political Landscape
    5.2.2. Economic Landscape
    5.2.3. Social Landscape
    5.2.4. Technological Landscape
    5.2.5. Environmental Landscape
    5.2.6. Legal Landscape
    5.3. PORTER’s Five Forces 
    5.3.1. Bargaining power of suppliers
    5.3.2. Bargaining power of buyers
    5.3.3. Threat of Substitute
    5.3.4. Threat of new entrant
    5.3.5. Competitive rivalry
    5.4. Heat Map Analysis

    6. Competitive Landscape
    6.1. Asia Pacific Data as a Service (DaaS) Market Manufacturing Base Distribution, Sales Area, Product Type 
    6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Asia Pacific Data as a Service (DaaS) Market 

    7. Asia Pacific Data as a Service (DaaS) Market, By Development (USD Million) 2020-2033
    7.1. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By Development, 2020-2026 
    7.2. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By Development, 2027-2033
    7.3. Public Cloud
    7.4. Private Cloud
    7.5. Hybrid Cloud

    8. Asia Pacific Data as a Service (DaaS) Market, By Organisation Size (USD Million) 2020-2033
    8.1. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By Organisation Size, 2020-2026 
    8.2. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By Organisation Size, 2027-2033
    8.3. SMEs
    8.4. Large Enterprises

    9. Asia Pacific Data as a Service (DaaS) Market, By End User (USD Million) 2020-2033
    9.1. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By End User, 2020-2026 
    9.2. Asia Pacific Data as a Service (DaaS) Market Size, Share and Forecast, By End User, 2027-2033
    9.3. BFSI
    9.4. Healthcare
    9.5. Retail
    9.6. IT and Telecom 
    9.7. Government
    9.8. Others

    10. Asia Pacific Data as a Service (DaaS) Market Forecast, 2020-2033 (USD Million)
    10.1. Asia Pacific Data as a Service (DaaS) Market Size and Market Share

    11. Asia Pacific Data as a Service (DaaS) Market, By Region, 2020-2033 (USD Million)
    11.1. Asia Pacific Data as a Service (DaaS) Market Size and Market Share By Region (2020-2026)
    11.2. Asia Pacific Data as a Service (DaaS) Market Size and Market Share By Region (2027-2033)
    11.3. China
    11.4. Japan
    11.5. India
    11.6. South Korea
    11.7. Australia
    11.8. Indonesia
    11.9. Others

    12. Company Profile
    12.1. Microsoft Corporation
    12.1.1. Company details
    12.1.2. Financial outlook
    12.1.3. Product summary 
    12.1.4. Recent developments
    12.2. Google
    12.2.1. Company details
    12.2.2. Financial outlook
    12.2.3. Product summary 
    12.2.4. Recent developments
    12.3. Amazon Web Services
    12.3.1. Company details
    12.3.2. Financial outlook
    12.3.3. Product summary 
    12.3.4. Recent developments
    12.4. IBM Corporation
    12.4.1. Company details
    12.4.2. Financial outlook
    12.4.3. Product summary 
    12.4.4. Recent developments
    12.5. Oracle Corporation
    12.5.1. Company details
    12.5.2. Financial outlook
    12.5.3. Product summary 
    12.5.4. Recent developments
    12.6. Alibaba Group Holding Limited
    12.6.1. Company details
    12.6.2. Financial outlook
    12.6.3. Product summary 
    12.6.4. Recent developments
    12.7. SAP SE
    12.7.1. Company details
    12.7.2. Financial outlook
    12.7.3. Product summary 
    12.7.4. Recent developments
    12.8. Teradata Corporation
    12.8.1. Company details
    12.8.2. Financial outlook
    12.8.3. Product summary 
    12.8.4. Recent developments
    12.9. SAS Institute, Inc
    12.9.1. Company details
    12.9.2. Financial outlook
    12.9.3. Product summary 
    12.9.4. Recent developments
    12.10. Huawei Technologies Co Ltd
    12.10.1. Company details
    12.10.2. Financial outlook
    12.10.3. Product summary 
    12.10.4. Recent developments
    12.11. Bloomberg Finance L.P
    12.11.1. Company details
    12.11.2. Financial outlook
    12.11.3. Product summary 
    12.11.4. Recent developments
    12.12. IQVIA
    12.12.1. Company details
    12.12.2. Financial outlook
    12.12.3. Product summary 
    12.12.4. Recent developments
    12.13. TIBCO Software
    12.13.1. Company details
    12.13.2. Financial outlook
    12.13.3. Product summary 
    12.13.4. Recent developments
    12.14. Thomson Reuters Corporation
    12.14.1. Company details
    12.14.2. Financial outlook
    12.14.3. Product summary 
    12.14.4. Recent developments
    12.15. Others

    13. Conclusion

    14. List of Abbreviations

    15. Reference Links

    SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.

    The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings.  The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.

    SPER-Methodology-1

    SPER-Methodology-2

    SPER-Methodology-3


    Frequently Asked Questions About This Report
    Asia Pacific Data as a Service (DaaS) Market is projected to reach USD XX billion by 2033, growing at a CAGR of 22.21% during the forecast period.
    Asia Pacific Data as a Service (DaaS) Market grew in Market size from 2024. The Market is expected to reach USD XX billion by 2033, at a CAGR of 22.21% during the forecast period.
    Asia Pacific Data as a Service (DaaS) Market CAGR of 22.21% during the forecast period.
    Asia Pacific Data as a Service (DaaS) Market size is USD XX Billion from 2024 to 2033.
    Asia Pacific Data as a Service (DaaS) Market is covered By Development, By Organisation Size, By End User.
    The Asia-Pacific is anticipated to have the highest Market share in the Asia Pacific Data as a Service (DaaS) Market.
    The key players in the Market include Companies Covered 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.
    Data as a service (DaaS) is a platform for managing data that leverages cloud-based networking to provide enterprise needs including processing, analysis, integration, and storage of data.
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