AI-as-a-Service (AIaaS) Market size to grow by USD 28,773.14 million from 2022 to 2027
The artificial
intelligence-as-a-service (AIaaS) market size is set to grow by USD 28,773.14 million from 2022 to 2027, progressing at a
CAGR of 40.17% during the forecast period. The report
offers an up-to-date analysis regarding the current global market scenario, the
latest trends and drivers, and the overall market environment. The adoption of cloud-based solutions is
the major factor driving the artificial intelligence-as-a-service
market growth. Global acceptance of cloud computing services
has directed the favor of cloud-based applications that can be used in numerous
end-user industries. Also, the inherent benefits of cloud computing, such as
minimal infrastructure computing costs, scalability, reliability, and high
resource availability, have led enterprises to adopt cloud-based solutions. The
adoption of cloud computing also lowers operating costs by eliminating
the requirement for a dedicated IT support team. Businesses are adopting
pay-as-you-go services to get the most value. It strives to augment the
adoption of cloud-based applications through a service model. The availability
of developed and scalable infrastructure at low cost will be a significant
aspect driving the AIaaS market globally. Developing an AI platform needs
significant investment in hardware, software, sensors, maintenance, and repair.
Also, the software needs frequent maintenance and upgrades to satisfy varying
business requirements. Businesses prefer to outsource these tasks to AIaaS
providers to bypass these direct costs in implementing and utilizing AI which
will be expected to drive market growth during the forecast period.
Artificial Intelligence-as-a-Service (AIaaS) Market 2023-2027 -
Market Dynamics
Major Trends
The growing number of mergers and acquisitions is an
emerging trend in the AIaaS market growth. Due to the expansion of AIaaS coverage and associated
AIaaS market growth, the global AIaaS market is growing. Mainly, service
providers in the banking, retail, and healthcare sectors are moving their
business models to cloud-based models. Moreover, with government support,
businesses are opening AI research centers. To gain access to new
customers, market participants choose these partnerships and acquisitions.
Further, it helps market players access new technologies that help improve their
product portfolios. For instance, in January 2023, international
accredited registrar DNV acquired Proxima Solutions, an AI-enabled wind
software-as-a-service provider. This acquisition will strengthen DNV
GreenPowerMonitor's business. Such strategic partnerships will help
vendors to develop their geographic presence, expand their customer base, and
deliver improved AI services, which will drive the growth of the market during
the forecast period.
Significant Challenges
The rising concern for data privacy is a major
challenge hindering market growth. To gain insights for
future business planning and operational optimization, AI-based solutions use
big data, and the emergence of newly developed AI solutions has privacy
concerns. Due to the ability of tools to make autonomous decisions and actions,
privacy issues arise in AI. Furthermore, companies use data anonymization
techniques to generalize key details of data points and prevent privacy
breaches when deploying AI. Nevertheless, sensitive data like this is the key
to AIaaS. Assuring the privacy and anonymity of data points and large amounts
of data, therefore, becomes a major challenge for the market growth during the
forecast period.
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