Asia Pacific AI and Machine Learning in Business Market

Asia Pacific AI and Machine Learning in Business Market Size, Share & Trends Analysis Report By Component (Solution and Services), By Enterprise Size, By Industry Vertical, By Application, By Country and Growth Forecast, 2024 - 2031

Report Id: KBV-22948 Publication Date: June-2024 Number of Pages: 174
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Analysis of Market Size & Trends

The Asia Pacific AI and Machine Learning in Business Market would witness market growth of 32.0% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific AI and Machine Learning in Business Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $87,815.1 million by 2031. The Japan market is registering a CAGR of 31.1% during (2024 - 2031). Additionally, The India market would capture a CAGR of 32.8% during (2024 - 2031).

Asia Pacific AI and Machine Learning in Business Market

One key driver of AI and ML is the increasing adoption of these technologies across industries. Massive amounts of data analysis, robotic process automation, and the acquisition of valuable insights are all outcomes of businesses' applications of AI and ML. The justification for this execution is to maintain a competitive edge in an ever-changing corporate environment and cater to the increasing expectations of clientele regarding customized offerings. The exponential growth in data volumes is another significant driver of the AI and ML in the market. The digital transformation has led to the generation of large amounts of data, which can be harnessed by AI and ML algorithms to uncover valuable insights. Businesses use these insights to optimize operations, improve decision-making, and drive innovation.

Advancements in AI and ML technology are also fueling market growth. Ongoing efforts by researchers and developers to expand the limits of these technologies result in the creation of increasingly intricate algorithms and models. These advancements are expanding the capabilities of AI and ML, enabling businesses to tackle more complex problems and drive greater value.

Japan leverages AI and ML in the energy and healthcare sectors to improve efficiency and patient care. It uses AI for energy demand forecasting, grid optimization, and renewable energy integration in the energy sector. In healthcare, it is used for diagnostics, patient monitoring, and drug development. Japanese companies like Hitachi and Toshiba are at the forefront of AI adoption, showcasing Japan's commitment to technological advancement. Hence, these are expected to support the advancement of the regional market.

Free Valuable Insights: The Global AI and Machine Learning in Business Market is Predict to reach USD 1198.4 Billion by 2031, at a CAGR of 30.9%

Based on Component, the market is segmented into Solution and Services. Based on Enterprise Size, the market is segmented into Large Enterprise and Small & Middle-sized Enterprise. Based on Industry Vertical, the market is segmented into BFSI, IT & Telecom, Retail, Energy Sector & Utilities, Manufacturing & Logistics, Healthcare and Others. Based on Application, the market is segmented into Data Analytics, Predictive Analytics, Cyber Security, Supply Chain & Inventory Management 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

  • NVIDIA Corporation
  • Baidu, Inc.
  • SAP SE
  • Hewlett Packard Enterprise Company
  • Microsoft Corporation
  • IBM Corporation
  • Intel Corporation
  • Salesforce, Inc.
  • Google LLC (Alphabet Inc.)
  • Amazon.com, Inc.

Asia Pacific AI and Machine Learning in Business Market Report Segmentation

By Component

  • Solution
  • Services

By Enterprise Size

  • Large Enterprise
  • Small & Middle-sized Enterprise

By Industry Vertical

  • BFSI
  • IT & Telecom
  • Retail
  • Energy Sector & Utilities
  • Manufacturing & Logistics
  • Healthcare
  • Others

By Application

  • Data Analytics
  • Predictive Analytics
  • Cyber Security
  • Supply Chain & Inventory Management
  • Others

By Country

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