Asia Pacific AI as a Service Market

Asia Pacific AI as a Service Market Size, Share & Trends Analysis Report By Organization Size, By Offering (Infrastructure as a Service, Platform as a Service and Software as a Service), By Cloud Type, By Technology, By Vertical, By Country and Growth Forecast, 2023 - 2030

Report Id: KBV-19985 Publication Date: February-2024 Number of Pages: 188
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Market Report Description

The Asia Pacific AI as a Service Market would witness market growth of 42.1% CAGR during the forecast period (2023-2030).

Since its development, Artificial Intelligence (AI) has transformed business operations and transformed industries into a tangible reality. Artificial intelligence (AI) has emerged as a leader in technological innovation due to its capability of pattern recognition, data analysis, and autonomous decision-making. As businesses seek to leverage AI to gain a competitive edge, the concept of AI as a Service (AIaaS) has emerged as a compelling solution. AIaaS offers organizations the ability to access AI capabilities through cloud-based platforms, eliminating the need for significant upfront investments in infrastructure and expertise.

Employing the AIaaS delivery model enables organizations to operate AI solutions at a reduced cost without the need for project development or management. Because AIaaS solutions are also flexible, scalable, and uncomplicated, organizations may opt to implement particular AI services. Among the pragmatic benefits of AIaaS are longevity, consistency, and speed. Deploying AI-based technology is most efficiently accomplished through AIaaS. Organization-modifiable solutions are extremely beneficial because they permit the organization to tailor the service to its needs and constraints.

Australia has a strong healthcare system known for its high-quality medical services and research capabilities. The country's healthcare sector is expanding to meet the needs of an aging population, focusing on digital health, telemedicine, and precision medicine. Australia is also a major player in the global life sciences industry, strongly focusing on biotechnology and medical research. Australian healthcare providers are utilizing AIaaS platforms to improve medical imaging and diagnostics. Pharmaceutical companies and research institutions in Australia are also utilizing AIaaS for drug discovery and development. Therefore, the regional AI as a service market is bound to grow rapidly in the coming years.

The China market dominated the Asia Pacific AI as a Service Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $8,483.5 million by 2030. The Japan market is exhibiting a CAGR of 41.2% during (2023 - 2030). Additionally, The India market would experience a CAGR of 43% during (2023 - 2030).

Free Valuable Insights: The Global AI as a Service Market is Predict to reach $ 116.7 Billion by 2030, at a CAGR of 41.4%

Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises. Based on Offering, the market is segmented into Infrastructure as a Service, Platform as a Service and Software as a Service. Based on Cloud Type, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context Awareness, and Computer Vision. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Retail & eCommerce, Manufacturing, Healthcare & Life Sciences, Government & Defense, Energy & Utilities and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

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List of Key Companies Profiled

  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc. (, Inc.)
  • Oracle Corporation
  • Google LLC (Alphabet Inc.)
  • Fair Isaac Corporation (FICO)
  • Baidu, Inc.
  • SAS Institute, Inc.
  • SAP SE
  • Salesforce, Inc.

Asia Pacific AI as a Service Market Report Segmentation

By Organization Size

  • Large Enterprises
  • Small & Medium-Sized Enterprises

By Offering

  • Infrastructure as a Service
  • Platform as a Service
  • Software as a Service

By Cloud Type

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context Awareness
  • Computer Vision

By Vertical

  • BFSI
  • IT & Telecom
  • Retail & eCommerce
  • Manufacturing
  • Healthcare & Life Sciences
  • Government & Defense
  • Energy & Utilities
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific


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