Global Data as a Service (DaaS) Market Revolutionizing Business Efficiency
DaaS Market Insights:
The US Data
as a Service (DaaS) market refers to an industry that provides a platform for
delivering data on-demand to users over the internet Global DaaS Market provide businesses and
individuals with access to data from various sources, which can be used for
data analysis, business intelligence, and other applications. The market is
being driven by factors such as the rapid adoption of cloud computing, the
increasing demand for real-time data analytics, and the growing need for
cost-effective data management solutions.
The study offers a complete assessment of the global situation,
the economic situation, and the COVID-19 analysis of the overall industry. Data
as a service (DaaS) is a model that offers on-demand data to users regardless
of the geography or organization of the provider and the consumer. DaaS is a
cost-effective responsive service that enables companies to concentrate on
selling their products rather than sourcing, managing, and activating data. Businesses
need new capabilities to support themselves in the market and to build a
competitive edge for themselves. Due to rapid technological change, companies
are turning to cloud-based services to help their businesses minimize the costs
of building, running, and protecting applications, thereby accelerating
business agility.
Market Size:
The data
as a service (DaaS) market Size is projected to grow
from USD 7.52 Billion in 2022 to USD 67.85 billion by 2030, exhibiting a
compound annual growth rate (CAGR) of 36.9% during the forecast period (2022 -
2030)
Key players
· IBM Corporation (U.S.)
· Fair Isaac Corporation (U.S.)
· Microsoft Corporation (U.S.)
· Alibaba Group Holding Limited (China)
· Google Inc (U.S.)
· Facebook Inc (U.S.)
· Oracle Corporation (U.S.)
· Bloomberg Finance L.P. (U.S.)
· Salesforce.com Inc. (U.S.)
· LinkedIn Corporation (U.S.)
· Mastercard Advisors LLC (U.S.)
· LexisNexis Corporation (U.S.)
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Market Dynamics
The factors responsible for driving the market are the increasing
adoption of big data analytics across various industry verticals and the
increasing demand for real-time data analytics. In addition, the industry is
also driven by the increased adoption of cloud-based services in enterprises.
Initiatives like Bring Your Own Device (BYOD) and Enterprise Mobility are
critical opportunities in the data as a service (DaaS) industry. The industry
also faces a variety of obstacles, including data theft and cyber-attacks, and
a lack of technological knowledge in data as a service (DaaS) share that could
potentially impede the market growth.
Market Segmentation
The global data as a service market has been segmented
into deployment, organization size, end-user, pricing model, solution, and
professional services.
By deployment, the global data as a service market has been segmented
into public cloud, private cloud, and hybrid cloud.
By organization size, the global data as a
service market has been segmented into small and medium enterprises and large
enterprises.
By the end-user, the global data as a service market has been segmented
into BFSI, healthcare, retail, manufacturing, media & entertainment,
transportation, IT & telecom, and others.
By pricing model, the global data as a service market has been segmented
into volume-based pricing model and data type-based pricing model. The
volume-based pricing model includes quantity-based pricing and pay per use
pricing.
By solution, the global data as a service market has been segmented
into disaster recovery and backup solutions, test data management, data
warehousing, data migration, and others.
By professional services, the global data
as a service market has been segmented into implementation & deployment,
support & maintenance, and consulting.
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