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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

Publisher SPER Market Research Pvt. Ltd.
Published Jul 12, 2024
Length 157 Pages
SKU # SPER19034579

Description

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 Introduction and Overview

According to SPER market research, ‘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’ state that the Asia Pacific Data as a Service (DaaS) Market is predicted to reach USD XX billion by 2033 with a CAGR of 22.21%.

Data as a Service (DaaS) is a cloud service that ensures critical data availability in a simple and cost-effective manner for businesses. The DaaS concept works by offloading the workload and risks connected with data management to a third-party cloud provider. DaaS enables clients to receive specific useful data on demand, regardless of an organization’s structural or geographical constraints.

The COVID-19 pandemic has had a beneficial effect on the industry for data as a service growth. Due to the need for businesses across industries to understand shifting consumer behaviours, supply chain disruptions, and market trends, the pandemic’s spread has brought attention to the value of data-driven decision-making, particularly in uncertain times. This has increased demand for DaaS solutions that can offer up-to-date, relevant data to support decision-making.

Scope of the Report:

Report Metric Details

Market size available for years 2020-2033

Base year considered 2023

Forecast period 2024-2033

Segments covered By 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, Huawei Technologies Co, Ltd, Bloomberg Finance, Thomson Reuters Corporation.

Asia Pacific Data as a Service (DaaS) Market Segmentation

By Development: Based on the Development, Asia Pacific Data as a Service (DaaS) Market is segmented as; Public Cloud, Private Cloud, Hybrid Cloud.

By Organisation Size: Based on the Organisation Size, Asia Pacific Data as a Service (DaaS) Market is segmented as; SMEs, Large Enterprises.

By End User:Based on the End User, Asia Pacific Data as a Service (DaaS) Market is segmented as; BFSI, Healthcare, Retail, IT and Telecom, Government, Others.

Table of Contents

157 Pages
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

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