+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Asia Pacific Artificial Intelligence of Things (AIoT) Market Size, Share & Trends Analysis Report By Deployment (Cloud and On-Premises), By Component (Hardware, Software, and Services), By End use, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031

  • PDF Icon

    Report

  • 176 Pages
  • January 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6053261
The Asia Pacific Artificial Intelligence of Things (AIoT) Market is expected to witness market growth of 27.9% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific Artificial Intelligence of Things (AIoT) Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $7.37 billion by 2031. The Japan market is experiencing a CAGR of 27.1% during 2024-2031. Additionally, the India market is expected to exhibit a CAGR of 28.8% during 2024-2031.



The market is further enhanced by a rise in investments directed towards research and development. Technology companies, startups, and governments are pouring resources into AIoT innovation, leading to breakthroughs in hardware, software, and analytics. These investments are driving down costs and making AIoT solutions more accessible to businesses of all sizes. Furthermore, partnerships between technology providers and industry stakeholders are facilitating the creation of bespoke AIoT applications designed to meet particular requirements.

The necessity for real-time data analytics serves as a principal catalyst for the adoption of Artificial Intelligence of Things (AIoT). This capability allows businesses to instantaneously collect, process, and act on data, enhancing operational efficiency and customer experiences. In retail, AIoT systems analyze data from smart devices like shelves and cameras to understand consumer behavior and preferences, enabling personalized marketing and efficient inventory management. For example, real-time insights allow retailers to dynamically adjust promotions or restock items automatically, improving sales and reducing waste.

South Korea's manufacturing sector is a significant contributor to AIoT adoption, with the industry's added value projected to grow from $437 billion in 2018 to $678 billion by 2030, according to industry experts. AIoT technologies are transforming South Korea’s manufacturing landscape through applications such as smart robotics, IoT-enabled production monitoring, and AI-driven supply chain optimization. As South Korea continues to concentrate on digital transformation and smart manufacturing, AIoT is expected to aid in driving efficiency, innovation, and global competitiveness across its industries. Therefore, with a strong focus on automation, efficiency, and sustainability, Asia Pacific is solidifying its position as a global leader in the market.

List of Key Companies Profiled

  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • SAS Institute Inc.
  • Microsoft Corporation
  • PTC Inc.
  • SAP SE
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • GE Vernova Group

Market Report Segmentation

By Deployment

  • Cloud
  • On-Premises

By Component

  • Hardware
  • Software
  • Services

By End use

  • B2B
  • B2G
  • B2C

By Application

  • Video Surveillance
  • Supply Chain Management
  • Inventory Management
  • Predictive Maintenance
  • Other Application

By Vertical

  • Manufacturing
  • Automotive
  • Healthcare
  • Retail
  • BFSI
  • Logistics
  • Agriculture & 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 Artificial Intelligence of Things (AIoT) Market, by Deployment
1.4.2 Asia Pacific Artificial Intelligence of Things (AIoT) Market, by Component
1.4.3 Asia Pacific Artificial Intelligence of Things (AIoT) Market, by End use
1.4.4 Asia Pacific Artificial Intelligence of Things (AIoT) Market, by Application
1.4.5 Asia Pacific Artificial Intelligence of Things (AIoT) Market, by Vertical
1.4.6 Asia Pacific Artificial Intelligence of Things (AIoT) 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 The 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 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2025)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022-, May - 2025, Jan) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Asia Pacific Artificial Intelligence of Things (AIoT) Market by Deployment
5.1 Asia Pacific Cloud Market by Country
5.2 Asia Pacific On-Premises Market by Country
Chapter 6. Asia Pacific Artificial Intelligence of Things (AIoT) Market by Component
6.1 Asia Pacific Hardware Market by Country
6.2 Asia Pacific Software Market by Country
6.3 Asia Pacific Services Market by Country
Chapter 7. Asia Pacific Artificial Intelligence of Things (AIoT) Market by End use
7.1 Asia Pacific B2B Market by Country
7.2 Asia Pacific B2G Market by Country
7.3 Asia Pacific B2C Market by Country
Chapter 8. Asia Pacific Artificial Intelligence of Things (AIoT) Market by Application
8.1 Asia Pacific Video Surveillance Market by Country
8.2 Asia Pacific Supply Chain Management Market by Country
8.3 Asia Pacific Inventory Management Market by Country
8.4 Asia Pacific Predictive Maintenance Market by Country
8.5 Asia Pacific Other Application Market by Country
Chapter 9. Asia Pacific Artificial Intelligence of Things (AIoT) Market by Vertical
9.1 Asia Pacific Manufacturing Market by Country
9.2 Asia Pacific Automotive Market by Country
9.3 Asia Pacific Healthcare Market by Country
9.4 Asia Pacific Retail Market by Country
9.5 Asia Pacific BFSI Market by Country
9.6 Asia Pacific Logistics Market by Country
9.7 Asia Pacific Agriculture & Others Market by Country
Chapter 10. Asia Pacific Artificial Intelligence of Things (AIoT) Market by Country
10.1 China Artificial Intelligence of Things (AIoT) Market
10.1.1 China Artificial Intelligence of Things (AIoT) Market by Deployment
10.1.2 China Artificial Intelligence of Things (AIoT) Market by Component
10.1.3 China Artificial Intelligence of Things (AIoT) Market by End use
10.1.4 China Artificial Intelligence of Things (AIoT) Market by Application
10.1.5 China Artificial Intelligence of Things (AIoT) Market by Vertical
10.2 Japan Artificial Intelligence of Things (AIoT) Market
10.2.1 Japan Artificial Intelligence of Things (AIoT) Market by Deployment
10.2.2 Japan Artificial Intelligence of Things (AIoT) Market by Component
10.2.3 Japan Artificial Intelligence of Things (AIoT) Market by End use
10.2.4 Japan Artificial Intelligence of Things (AIoT) Market by Application
10.2.5 Japan Artificial Intelligence of Things (AIoT) Market by Vertical
10.3 India Artificial Intelligence of Things (AIoT) Market
10.3.1 India Artificial Intelligence of Things (AIoT) Market by Deployment
10.3.2 India Artificial Intelligence of Things (AIoT) Market by Component
10.3.3 India Artificial Intelligence of Things (AIoT) Market by End use
10.3.4 India Artificial Intelligence of Things (AIoT) Market by Application
10.3.5 India Artificial Intelligence of Things (AIoT) Market by Vertical
10.4 South Korea Artificial Intelligence of Things (AIoT) Market
10.4.1 South Korea Artificial Intelligence of Things (AIoT) Market by Deployment
10.4.2 South Korea Artificial Intelligence of Things (AIoT) Market by Component
10.4.3 South Korea Artificial Intelligence of Things (AIoT) Market by End use
10.4.4 South Korea Artificial Intelligence of Things (AIoT) Market by Application
10.4.5 South Korea Artificial Intelligence of Things (AIoT) Market by Vertical
10.5 Singapore Artificial Intelligence of Things (AIoT) Market
10.5.1 Singapore Artificial Intelligence of Things (AIoT) Market by Deployment
10.5.2 Singapore Artificial Intelligence of Things (AIoT) Market by Component
10.5.3 Singapore Artificial Intelligence of Things (AIoT) Market by End use
10.5.4 Singapore Artificial Intelligence of Things (AIoT) Market by Application
10.5.5 Singapore Artificial Intelligence of Things (AIoT) Market by Vertical
10.6 Malaysia Artificial Intelligence of Things (AIoT) Market
10.6.1 Malaysia Artificial Intelligence of Things (AIoT) Market by Deployment
10.6.2 Malaysia Artificial Intelligence of Things (AIoT) Market by Component
10.6.3 Malaysia Artificial Intelligence of Things (AIoT) Market by End use
10.6.4 Malaysia Artificial Intelligence of Things (AIoT) Market by Application
10.6.5 Malaysia Artificial Intelligence of Things (AIoT) Market by Vertical
10.7 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market
10.7.1 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market by Deployment
10.7.2 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market by Component
10.7.3 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market by End use
10.7.4 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market by Application
10.7.5 Rest of Asia Pacific Artificial Intelligence of Things (AIoT) Market by Vertical
Chapter 11. Company Profiles
11.1 Google LLC (Alphabet Inc.)
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent Strategies and Developments
11.1.5.1 Partnerships, Collaborations, and Agreements
11.1.6 SWOT Analysis
11.2 IBM Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Regional & Segmental Analysis
11.2.4 Research & Development Expenses
11.2.5 Recent Strategies and Developments
11.2.5.1 Partnerships, Collaborations, and Agreements
11.2.5.2 Acquisition and Mergers
11.2.6 SWOT Analysis
11.3 Oracle Corporation
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expense
11.3.5 Recent Strategies and Developments
11.3.5.1 Partnerships, Collaborations, and Agreements
11.3.5.2 Product Launches and Product Expansions
11.3.6 SWOT Analysis
11.4 Salesforce, Inc.
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Regional Analysis
11.4.4 Research & Development Expenses
11.4.5 Recent Strategies and Developments
11.4.5.1 Partnerships, Collaborations, and Agreements
11.4.6 SWOT Analysis
11.5 SAS Institute, Inc.
11.5.1 Company Overview
11.5.2 Recent Strategies and Developments
11.5.2.1 Partnerships, Collaborations, and Agreements
11.5.3 SWOT Analysis
11.6 Microsoft Corporation
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expenses
11.6.5 Recent Strategies and Developments
11.6.5.1 Partnerships, Collaborations, and Agreements
11.6.6 SWOT Analysis
11.7 PTC, Inc.
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Regional Analysis
11.7.4 Research & Development Expenses
11.7.5 Recent Strategies and Developments
11.7.5.1 Partnerships, Collaborations, and Agreements
11.7.6 SWOT Analysis
11.8 SAP SE
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional Analysis
11.8.4 Research & Development Expense
11.8.5 Recent Strategies and Developments
11.8.5.1 Partnerships, Collaborations, and Agreements
11.8.6 SWOT Analysis
11.9 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Segmental Analysis
11.9.4 SWOT Analysis
11.10. GE Vernova Group
11.10.1 Company Overview
11.10.2 SWOT Analysis

Companies Mentioned

  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Oracle Corporation
  • Salesforce, Inc.
  • SAS Institute Inc.
  • Microsoft Corporation
  • PTC Inc.
  • SAP SE
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • GE Vernova Group

Methodology

Loading
LOADING...