AI as a Service Market Growth Potential & Forecast, 2032
As per a recent research report, AI as a Service Market surpass USD 110 Bn by 2032.
Increasing data availability and
advancements in cloud computing are cited as chief drivers of the industry. The
proliferation of data and the rise of cloud computing are stimulating AI models
as businesses are now generating vast volumes of high-quality data to train
effectively. Cloud computing platforms provide the necessary infrastructure to
store, process, and analyze this data, making it easier for AIaaS providers to
offer their services at scale. Moreover, the ease of integration with existing
systems facilitates the adoption of AI across various industries and is
contributing to industry demand.
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AI as a Service market from the large enterprises segment
accounted for a significant revenue share in 2022, attributed to fluctuating
demands for AI services based on the business cycles, seasonal variations, or
specific projects in these organizations. AI as a service offers scalability
and flexibility, allowing organizations to adjust their AI usage based on their
needs. In addition, the ability to offload the burden of AI development,
deployment, and maintenance to specialized providers aids large firms to save
costs & effort.
The private cloud segment will depict a considerable
growth from 2023 to 2032 owing to greater control and customization over AI
solutions. Private cloud services enable businesses to tailor AI models and
algorithms to their specific needs, ensuring compliance and security of proprietary
information. Moreover, it allows organizations to deploy AI services closer to
their data sources, reducing latency and ensuring optimal performance.
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APAC AI as a Service market is expected to amass
substantial gains by 2032. Countries such as China, Japan, South Korea, and
Singapore invest heavily on AI R&D, pursuing digital transformation
initiatives across various sectors such as healthcare, finance, manufacturing,
and retail. This transformation provides intelligent solutions for automation,
data analytics, customer engagement, and personalized services, which will spur
the regional market progression in the upcoming years.
Partial chapters of report table of contents
(TOC):
Chapter 2 Executive Summary
2.1 AI as a service
industry 360ยบ synopsis, 2018 - 2032
2.2 Business trends
2.2.1 Total Addressable
Market (TAM)
2.3 Regional trends
2.4 Deployment type
trends
2.5 Organization size
trends
2.6 End-use trends
Chapter 3 AI as a Service Market
Industry Insights
3.1 Impact on COVID-19
impact
3.2 Russia- Ukraine war
impact
3.3 Industry ecosystem
analysis
3.4 Vendor matrix
3.5 Profit margin
analysis
3.6 Technology &
innovation landscape
3.7 Patent analysis
3.8 Key news and
initiatives
3.9 Regulatory landscape
3.10 Impact forces
3.10.1 Growth drivers
3.10.1.1 Growing number
of innovative startups across the globe
3.10.1.2 Strong
government initiatives to promote AI-based infrastructure worldwide
3.10.1.3 Increasing
importance of data-driven decisions in businesses
3.10.1.4 High investments
by enterprises in AI services
3.10.2 Industry pitfalls
& challenges
3.10.2.1 Lack of skilled
and qualified staff
3.10.2.2 Data security
issues
3.11 Growth potential
analysis
3.12 Porter’s analysis
3.13 PESTEL analysis
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