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Artificial Intelligence as a Service Market was valued at USD 9.7 billion in 2023 and is estimated to register a CAGR of over 33% between 2024 and 2032. Global AI as a Service Market will garner noteworthy gains throughout 2024-2032, driven by the escalating rollouts of industry-specific solutions. Providers of AI as a Service (AIaaS) are crafting specialized solutions designed to cater to the distinct requirements of specific industries, including healthcare, finance, retail, and manufacturing.
For instance, in June 2023, Hims & Hers Health, the prominent health and wellness platform, introduced MedMatch, an AI-driven solution aimed at transforming healthcare by equipping healthcare providers with a more intelligent and informed approach to delivering personalized care to patients. This innovative tool seeks to enhance the precision and effectiveness of treatments and medication recommendations. The primary objective of MedMatch is to provide healthcare professionals with clinical recommendations and treatment options that draw upon the vast collective knowledge of thousands of providers and millions of data points. Ultimately, this approach aims to yield improved clinical outcomes and higher levels of patient satisfaction. These specialized AI services can address specific challenges and opportunities within each industry, further driving adoption and innovation in the AIaaS industry.
Report Attribute | Details |
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Base Year: | 2023 |
Artificial Intelligence as a Service Market Size in 2023: | USD 9.7 billion |
Forecast Period: | 2024 to 2032 |
Forecast Period 2024 to 2032 CAGR: | 33.2% |
2032 Value Projection: | USD 124.2 billion |
Historical Data for: | 2018 - 2023 |
No. of Pages: | 220 |
Tables, Charts & Figures: | 411 |
Segments covered: | Technology, Cloud Type, Organization Size, Offering, Industry Vertical |
Growth Drivers: |
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Pitfalls & Challenges: |
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However, integrating AIaaS solutions into existing infrastructure can be complex and time-consuming. Many organizations face challenges in seamlessly incorporating AI capabilities into their workflows and systems, which can act as a barrier to adoption, thus impacting the industry outlook.