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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