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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

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    Report

  • 174 Pages
  • May 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5978699
Description Jump to:
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$87.81 billion 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).



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.

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.

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.

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

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI and Machine Learning in Business Market, by Component
1.4.2 Asia Pacific AI and Machine Learning in Business Market, by Enterprise Size
1.4.3 Asia Pacific AI and Machine Learning in Business Market, by Industry Vertical
1.4.4 Asia Pacific AI and Machine Learning in Business Market, by Application
1.4.5 Asia Pacific AI and Machine Learning in Business Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2021, May - 2024, Apr) Leading Players
4.4 Porter Five Forces Analysis
Chapter 5. Asia Pacific AI and Machine Learning in Business Market by Component
5.1 Asia Pacific Solution Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific AI and Machine Learning in Business Market by Enterprise Size
6.1 Asia Pacific Large Enterprise Market by Country
6.2 Asia Pacific Small & Middle-sized Enterprise Market by Country
Chapter 7. Asia Pacific AI and Machine Learning in Business Market by Industry Vertical
7.1 Asia Pacific BFSI Market by Country
7.2 Asia Pacific IT & Telecom Market by Country
7.3 Asia Pacific Retail Market by Country
7.4 Asia Pacific Energy Sector & Utilities Market by Country
7.5 Asia Pacific Manufacturing & Logistics Market by Country
7.6 Asia Pacific Healthcare Market by Country
7.7 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific AI and Machine Learning in Business Market by Application
8.1 Asia Pacific Data Analytics Market by Country
8.2 Asia Pacific Predictive Analytics Market by Country
8.3 Asia Pacific Cyber Security Market by Country
8.4 Asia Pacific Supply Chain & Inventory Management Market by Country
8.5 Asia Pacific Others Market by Country
Chapter 9. Asia Pacific AI and Machine Learning in Business Market by Country
9.1 China AI and Machine Learning in Business Market
9.1.1 China AI and Machine Learning in Business Market by Component
9.1.2 China AI and Machine Learning in Business Market by Enterprise Size
9.1.3 China AI and Machine Learning in Business Market by Industry Vertical
9.1.4 China AI and Machine Learning in Business Market by Application
9.2 Japan AI and Machine Learning in Business Market
9.2.1 Japan AI and Machine Learning in Business Market by Component
9.2.2 Japan AI and Machine Learning in Business Market by Enterprise Size
9.2.3 Japan AI and Machine Learning in Business Market by Industry Vertical
9.2.4 Japan AI and Machine Learning in Business Market by Application
9.3 India AI and Machine Learning in Business Market
9.3.1 India AI and Machine Learning in Business Market by Component
9.3.2 India AI and Machine Learning in Business Market by Enterprise Size
9.3.3 India AI and Machine Learning in Business Market by Industry Vertical
9.3.4 India AI and Machine Learning in Business Market by Application
9.4 South Korea AI and Machine Learning in Business Market
9.4.1 South Korea AI and Machine Learning in Business Market by Component
9.4.2 South Korea AI and Machine Learning in Business Market by Enterprise Size
9.4.3 South Korea AI and Machine Learning in Business Market by Industry Vertical
9.4.4 South Korea AI and Machine Learning in Business Market by Application
9.5 Singapore AI and Machine Learning in Business Market
9.5.1 Singapore AI and Machine Learning in Business Market by Component
9.5.2 Singapore AI and Machine Learning in Business Market by Enterprise Size
9.5.3 Singapore AI and Machine Learning in Business Market by Industry Vertical
9.5.4 Singapore AI and Machine Learning in Business Market by Application
9.6 Malaysia AI and Machine Learning in Business Market
9.6.1 Malaysia AI and Machine Learning in Business Market by Component
9.6.2 Malaysia AI and Machine Learning in Business Market by Enterprise Size
9.6.3 Malaysia AI and Machine Learning in Business Market by Industry Vertical
9.6.4 Malaysia AI and Machine Learning in Business Market by Application
9.7 Rest of Asia Pacific AI and Machine Learning in Business Market
9.7.1 Rest of Asia Pacific AI and Machine Learning in Business Market by Component
9.7.2 Rest of Asia Pacific AI and Machine Learning in Business Market by Enterprise Size
9.7.3 Rest of Asia Pacific AI and Machine Learning in Business Market by Industry Vertical
9.7.4 Rest of Asia Pacific AI and Machine Learning in Business Market by Application
Chapter 10. Company Profiles
10.1 NVIDIA Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 Recent strategies and developments:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Product Launches and Product Expansions:
10.1.6 SWOT Analysis
10.2 Google LLC (Alphabet Inc.)
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.5.3 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Baidu, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 SAP SE
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional Analysis
10.4.4 Research & Development Expense
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.6 SWOT Analysis
10.5 Hewlett Packard Enterprise Company
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Partnerships, Collaborations, and Agreements:
10.5.5.2 Product Launches and Product Expansions:
10.5.5.3 Acquisition and Mergers:
10.5.6 SWOT Analysis
10.6 Microsoft Corporation
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 Recent strategies and developments:
10.6.5.1 Partnerships, Collaborations, and Agreements:
10.6.5.2 Acquisition and Mergers:
10.6.6 SWOT Analysis
10.7 IBM Corporation
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Regional & Segmental Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.7.5.2 Acquisition and Mergers:
10.7.5.3 Geographical Expansions:
10.7.6 SWOT Analysis
10.8 Intel Corporation
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 Recent strategies and developments:
10.8.5.1 Partnerships, Collaborations, and Agreements:
10.8.5.2 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 Salesforce, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.5.2 Product Launches and Product Expansions:
10.9.5.3 Acquisition and Mergers:
10.9.6 SWOT Analysis
10.10. Amazon.com, Inc.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental Analysis
10.10.4 Recent strategies and developments:
10.10.4.1 Partnerships, Collaborations, and Agreements:
10.10.5 SWOT Analysis

Companies Mentioned

  • 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.

Methodology

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