Asia-Pacific Data as a Service (DaaS) Market Comprehensive Analysis and Forecast 2024 to 2030
Asia-Pacific Data as a Service (DaaS) Market Overview: 2024-2030
Base Year: 2023
Historical Years: 2019-22
Forecast Years: 2024-2030
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 Data as a Service (DaaS) Market is going through significant growth due to multiple drivers like technological advancements and, of course, increasing healthcare needs. The increase in road accidents throughout the country creates a greater demand for X-rays.
Markntel Advisor’s Asia-Pacific Data as a Service (DaaS) Market Insights report provides the current and forecast market analysis, individual leading companies' market shares, challenges, Asia-Pacific Data as a Service (DaaS) Market drivers, barriers, Asia-Pacific Data as a Service (DaaS) Market Trends, and Key Players in Asia-Pacific Data as a Service (DaaS) Market.
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Asia-Pacific Data as a Service (DaaS) Market Dynamics: 2024-2030
Asia-Pacific Data as a Service (DaaS) Market Driver:
Increasing Inclination Towards Cloud Computing in Various Industry Verticals Boost the Market Growth – The increasing incorporation of digitalized services, such as cloud computing, serverless computing, software as a service, business process automation, etc., has augmented the demand for data services to manage & extract insights from data aggregators. Several businesses are inclining towards cloud computing in the Asia-Pacific countries. According to Red Hat Inc., as of 2023, around 85% of business leaders in APAC have started to adopt cloud-based solutions within their organizations. This helps the organizations to make informed decisions for the enterprises based on the data collected & stored on the cloud-based platform. Moreover, the top companies are also allocating substantial funds in fields such as fintech, digital payments, data processing & hosting, cloud computing, and professional & technical services. Based on the research conducted by Canalys company, in Q2 2022, the spending on cloud infrastructure reached around USD8.7 billion within the APAC region excluding China. As a result, there would be a surge in the adoption of DaaS within the industries during the forecast period.
Furthermore, the establishment of investment promotion agencies, digital clusters, and digital special economic zones across the Asia-Pacific region by various private & public players is leading to the incubation of DaaS. Additionally, the perpetual implementation of digitalization services through data localization policies, local storage requirements, and conditional flow regimes would augment the use case of DaaS in the coming years.
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Asia-Pacific Data as a Service (DaaS) Market (2024-30): Segmentation Outlook
The market report has segmented the market into the following categories:
By Deployment
-Public Cloud - Market Size & Forecast 2019-2030, USD Million
-Private Cloud - Market Size & Forecast 2019-2030, USD Million
-Hybrid & Multi Cloud - Market Size & Forecast 2019-2030, USD Million
By Organization Size
-Large Enterprises- Market Size & Forecast 2019-2030, USD Million
-Small & medium Enterprises- Market Size & Forecast 2019-2030, USD Million
By End User
-BFSI - Market Size & Forecast 2019-2030, USD Million
-Healthcare - Market Size & Forecast 2019-2030, USD Million
-Retail - Market Size & Forecast 2019-2030, USD Million
-IT & Telecom - Market Size & Forecast 2019-2030, USD Million
-Government - Market Size & Forecast 2019-2030, USD Million
-Others (Media & Entertainment, Industrial, etc.) - Market Size & Forecast 2019-2030, USD Million
By Country
-China
-India
-Japan
-South Korea
-Singapore
-Rest of Asia-Pacific.
Note - If there are any particular details you need that are not currently included in the report, we will be happy to provide them as part of our customization services.
Top Companies Operating in the Asia-Pacific Data as a Service (DaaS) Market:
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.
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