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市场调查报告书
商品编码
1947526

人工智慧物联网市场：依产品、部署、应用和产业划分－全球预测至2036年

Artificial Intelligence of Things Market by Offering, Deployment, Application, and Vertical - Global Forecast to 2036
出版日期: | 出版商: Meticulous Research | 英文 278 Pages | 商品交期: 5-7个工作天内

价格
简介目录

全球人工智慧物联网 (AIoT) 市场预计将以29.4%的复合年增长率成长，从2026年的370.5亿美元成长到2036年的约4,854.5亿美元。

本报告对全球五大主要区域的AIoT市场进行了详细分析，重点关注当前市场趋势、市场规模、最新发展以及至2036年的预测。透过广泛的二级和一级研究以及对市场现状的深入分析，我们对关键产业驱动因素、限制因素、机会和挑战进行了影响分析。

推动AIoT市场成长的关键因素包括全球对营运智慧日益增长的兴趣，以及自主系统在各种工业和商业环境中的快速扩展。 此外，边缘智慧的整合、对即时资源优化日益增长的需求以及先进AIoT平台的扩展，预计将为AIoT市场中的企业创造巨大的成长机会。

市场区隔

目录

第一章：引言

第二章：摘要整理

第三章：市场概览

  • 市场动态
    • 驱动因素
      • 对营运效率和自动化日益增长的需求
      • 边缘运算在即时决策的应用日益广泛
      • 5G和6G连结在工业环境中的普及
      • 自主系统与机器人技术的扩展
    • 限制因素
      • 高部署成本与整合挑战
      • 资料隐私与网路安全问题
    • 机遇
      • 边缘环境：在智慧城市计画中整合生成式人工智慧和本地生命週期管理
      • 智慧城市计画与城市现代化
      • 绿色人工智慧物联网和节能系统的兴起
    • 挑战
      • 碎片化物联网生态系中的互通性挑战
      • 人工智慧和物联网工程技术人才短缺
  • 未满足的需求与空白市场
  • 互联市场与跨产业机遇
  • 一、二、三级厂商的策略举措

第四章 产业趋势

  • 人工智慧物联网与边缘智慧的演进
  • 波特五力模型分析
  • 供应链分析
  • 生态系分析
    • 半导体和晶片製造商
    • 感测器和连接模组供应商
    • AIoT平台和软体供应商
    • 云端基础设施供应商
    • 託管服务提供者
  • 定价分析
  • 监管框架和标准化
  • 生成式人工智慧对AIoT市场的影响

第五章：全球AIoT市场依产品/服务划分

  • 硬体
    • 处理器与SoC（GPU、TPU、FPGA、ASIC）
    • 感测器和执行器
    • 连线模组（5G、Wi-Fi）（6月7日、LoRaWAN）
    • 边缘设备网关
  • 软体
    • AIoT平台（装置、应用程式和连线管理）
    • 分析与资料管理工具
    • 网路安全与身分管理
  • 服务
    • 专业服务（整合、咨询与支援）
    • 託管服务

第六章 全球AIoT市场（依部署方式划分）

  • 边缘AIoT（设备端处理）
  • 云AIoT
  • 混合AIoT

第七章 全球AIoT市场（依应用划分）

  • 预测性维护
  • 即时监控与诊断
  • 资产追踪与管理
  • 自主系统（机器人、无人机等）车辆）
  • 智慧自动化与控制
  • 品质检测与安防
  • 其他应用

第八章：全球AIoT市场依产业划分

  • 製造业（工业AIoT、智慧工厂）
  • 医疗保健（互联医疗设备、远端监控）
  • 零售与电子商务（智慧货架、个人化行销）
  • 银行、金融服务和保险（BFSI）
  • 能源与公用事业（智慧电网、资源最佳化）
  • 交通运输与物流（车队管理、智慧仓库）
  • 智慧城市与建筑（公共安全、交通管理）
  • 农业（精准农业）
  • 其他行业（教育、媒体与娱乐）

第九章：全球AIoT市场依产业划分

地区
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 北欧国家
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲和纽西兰
    • 东协
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 智利
    • 其他拉丁美洲地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯联合大公国
    • 南非非洲
    • 卡达
    • 中东和非洲其他地区

第十章 竞争格局

  • 2025 年市占率分析
  • 竞争格局概览
    • 行业领导者
    • 市场差异化因素
    • 先锋企业
    • 新兴企业
  • 策略发展（併购、合作、产品发布）

第十一章 公司简介（业务概览、财务状况、产品组合、策略发展）

  • 英伟达公司
  • 英特尔公司
  • 高通科技公司
  • 三星电子有限公司
  • 亚马逊网路服务 (AWS)
  • IBM 公司
  • 微软公司
  • 思科系统公司 (Cisco Systems, Inc.)
  • 西门子股份公司 (Siemens AG)
  • 施耐德电机 (Schneider Electric)
  • 霍尼韦尔国际公司 (Honeywell International Inc.)
  • 罗克韦尔自动化公司 (Rockwell Automation, Inc.)
  • 研华科技股份有限公司 (Advantech Co., Ltd.)
  • 凌华科技股份有限公司 (ADLINK Technology Inc.)
  • 华为技术有限公司 (Huawei Technologies Co., Ltd.)

第十二章附录

简介目录
Product Code: MRICT - 1041779

Artificial Intelligence of Things (AIoT) Market by Offering (Hardware, Software, Services), Deployment (Edge AIoT, Cloud AIoT), Application (Predictive Maintenance, Real-Time Monitoring, Autonomous Systems, Asset Tracking, Others), Vertical (Manufacturing, Healthcare, Retail, BFSI), and Geography - Global Forecast to 2036

According to the research report titled, 'Artificial Intelligence of Things (AIoT) Market by Offering (Hardware, Software, Services), Deployment (Edge AIoT, Cloud AIoT), Application (Predictive Maintenance, Real-Time Monitoring, Autonomous Systems, Asset Tracking, Others), Vertical (Manufacturing, Healthcare, Retail, BFSI), and Geography - Global Forecast to 2036,' the global AIoT market is expected to reach approximately USD 485.45 billion by 2036 from USD 37.05 billion in 2026, at a CAGR of 29.4% during the forecast period (2026-2036).

The report provides an in-depth analysis of the global AIoT market across five major regions, emphasizing the current market trends, market sizes, recent developments, and forecasts till 2036. Following extensive secondary and primary research and an in-depth analysis of the market scenario, the report conducts the impact analysis of the key industry drivers, restraints, opportunities, and challenges.

The major factors driving the growth of the AIoT market include the intensifying global focus on operational intelligence and the rapid expansion of autonomous systems across diverse industrial and commercial environments. Additionally, the integration of edge intelligence, increasing demand for real-time resource optimization, and expansion of advanced AIoT platforms are expected to create significant growth opportunities for players operating in the AIoT market.

Market Segmentation

The AIoT market is segmented by offering (hardware, software, services), deployment (edge AIoT, cloud AIoT), application (predictive maintenance, real-time monitoring, autonomous systems, asset tracking, others), vertical (manufacturing, healthcare, retail, BFSI), and geography. The study also evaluates industry competitors and analyzes the market at the country level.

Based on Offering

By offering, the hardware segment holds the largest market share in 2026, primarily attributed to the critical infrastructure requirements for intelligent IoT devices and edge computing systems. Hardware components represent the foundational layer of AIoT deployments. However, the software segment is expected to grow at the fastest CAGR during the forecast period, driven by the increasing demand for advanced AI algorithms and machine learning platforms. The ability to deliver integrated solutions with proven performance makes advanced AIoT software platforms highly attractive for enterprises seeking operational optimization.

Based on Deployment

By deployment, the cloud AIoT segment holds the largest market share in 2026, owing to its widespread adoption for centralized data processing and scalable AI analytics across distributed IoT networks. Cloud-based AIoT provides flexible, on-demand computing resources for diverse applications. The edge AIoT segment is expected to witness significant growth during the forecast period, driven by the increasing demand for low-latency processing and real-time decision-making capabilities. Edge intelligence represents an emerging deployment paradigm with tremendous potential for industrial automation and autonomous systems.

Based on Application

By application, the predictive maintenance segment holds the largest share of the overall market in 2026, due to its proven efficacy in reducing equipment downtime and optimizing maintenance operations. Predictive maintenance represents the most mature AIoT application category. The real-time monitoring segment is expected to grow at a significant CAGR during the forecast period, driven by the increasing demand for continuous operational visibility and performance optimization. Autonomous systems and asset tracking represent emerging application segments with rapid growth potential across manufacturing and logistics sectors.

Geographic Analysis

An in-depth geographic analysis of the industry provides detailed qualitative and quantitative insights into the five major regions (North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa) and the coverage of major countries in each region. In 2026, North America dominates the global AIoT market with the largest market share, primarily attributed to massive investments in industrial automation and the presence of leading technology innovators in the United States and Canada. Asia-Pacific is expected to witness the fastest growth during the forecast period, supported by rapid industrialization and the widespread adoption of smart manufacturing technologies in China, India, and Southeast Asia. Europe, Latin America, and the Middle East & Africa represent emerging markets with growing industrial digitalization and increasing adoption of advanced AIoT solutions.

Key Players

The key players operating in the global AIoT market are Microsoft Corporation, Amazon Web Services (AWS), Google LLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Qualcomm Incorporated, Cisco Systems Inc., Siemens AG, and various other regional and emerging artificial intelligence and IoT solution providers, among others.

Key Questions Answered in the Report-

  • What is the current revenue generated by the AIoT market globally?
  • At what rate is the global AIoT market demand projected to grow for the next 7-10 years?
  • What are the historical market sizes and growth rates of the global AIoT market?
  • What are the major factors impacting the growth of this market at the regional and country levels? What are the major opportunities for existing players and new entrants in the market?
  • Which segments in terms of offering, deployment, application, and vertical are expected to create major traction for the service providers in this market?
  • What are the key geographical trends in this market? Which regions/countries are expected to offer significant growth opportunities for the companies operating in the global AIoT market?
  • Who are the major players in the global AIoT market? What are their specific product offerings in this market?
  • What are the recent strategic developments in the global AIoT market? What are the impacts of these strategic developments on the market?

Scope of the Report:

AIoT Market Assessment -- by Offering

  • Hardware
  • Software
  • Services

AIoT Market Assessment -- by Deployment

  • Edge AIoT
  • Cloud AIoT

AIoT Market Assessment -- by Application

  • Predictive Maintenance
  • Real-Time Monitoring
  • Autonomous Systems
  • Asset Tracking
  • Others

AIoT Market Assessment -- by Vertical

  • Manufacturing
  • Healthcare
  • Retail
  • BFSI

AIoT Market Assessment -- by Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa
    • Rest of Middle East & Africa

TABLE OF CONTENTS

1. Introduction

  • 1.1. Market Definition
  • 1.2. Market Scope
  • 1.3. Research Methodology
  • 1.4. Assumptions & Limitations

2. Executive Summary

3. Market Overview

  • 3.1. Introduction
  • 3.2. Market Dynamics
    • 3.2.1. Drivers
      • 3.2.1.1. Growing Demand for Operational Efficiency and Automation
      • 3.2.1.2. Increasing Adoption of Edge Computing for Real-Time Decision Making
      • 3.2.1.3. Rise of 5G and 6G Connectivity in Industrial Environments
      • 3.2.1.4. Expansion of Autonomous Systems and Robotics
    • 3.2.2. Restraints
      • 3.2.2.1. High Implementation Costs and Integration Challenges
      • 3.2.2.2. Data Privacy and Cybersecurity Concerns
    • 3.2.3. Opportunities
      • 3.2.3.1. Integration of Generative AI and Local LLMs at the Edge
      • 3.2.3.2. Smart City Initiatives and Urban Modernization
      • 3.2.3.3. Emergence of Green AIoT and Energy-Efficient Systems
    • 3.2.4. Challenges
      • 3.2.4.1. Interoperability Issues Across Fragmented IoT Ecosystems
      • 3.2.4.2. Shortage of Skilled AI and IoT Engineering Talent
  • 3.3. Unmet Needs and White Spaces
  • 3.4. Interconnected Markets and Cross-Sector Opportunities
  • 3.5. Strategic Moves by Tier-1/2/3 Players

4. Industry Trends

  • 4.1. Evolution of AIoT and Edge Intelligence
  • 4.2. Porter's Five Forces Analysis
  • 4.3. Supply Chain Analysis
  • 4.4. Ecosystem Analysis
    • 4.4.1. Semiconductor & Chip Manufacturers
    • 4.4.2. Sensor & Connectivity Module Providers
    • 4.4.3. AIoT Platform & Software Providers
    • 4.4.4. Cloud Infrastructure Providers
    • 4.4.5. Managed Service Providers
  • 4.5. Pricing Analysis
  • 4.6. Regulatory Framework and Standardization
  • 4.7. Impact of Generative AI on AIoT Market

5. Global AIoT Market, By Offering

  • 5.1. Introduction
  • 5.2. Hardware
    • 5.2.1. Processors & SoCs (GPUs, TPUs, FPGAs, ASICs)
    • 5.2.2. Sensors & Actuators
    • 5.2.3. Connectivity Modules (5G, Wi-Fi 6/7, LoRaWAN)
    • 5.2.4. Edge Devices & Gateways
  • 5.3. Software
    • 5.3.1. AIoT Platforms (Device, Application, Connectivity Management)
    • 5.3.2. Analytics & Data Management Tools
    • 5.3.3. Cybersecurity & Identity Management
  • 5.4. Services
    • 5.4.1. Professional Services (Integration, Consulting, Support)
    • 5.4.2. Managed Services

6. Global AIoT Market, By Deployment

  • 6.1. Introduction
  • 6.2. Edge AIoT (On-Device Processing)
  • 6.3. Cloud AIoT
  • 6.4. Hybrid AIoT

7. Global AIoT Market, By Application

  • 7.1. Introduction
  • 7.2. Predictive Maintenance
  • 7.3. Real-Time Monitoring & Diagnostics
  • 7.4. Asset Tracking & Management
  • 7.5. Autonomous Systems (Robots, Drones, Vehicles)
  • 7.6. Smart Automation & Control
  • 7.7. Quality Inspection & Security
  • 7.8. Other Applications

8. Global AIoT Market, By Vertical

  • 8.1. Introduction
  • 8.2. Manufacturing (Industrial AIoT, Smart Factories)
  • 8.3. Healthcare (Connected Medical Devices, Remote Monitoring)
  • 8.4. Retail & E-commerce (Smart Shelves, Personalized Marketing)
  • 8.5. BFSI (Banking, Financial Services, and Insurance)
  • 8.6. Energy & Utilities (Smart Grids, Resource Optimization)
  • 8.7. Transportation & Logistics (Fleet Management, Smart Warehousing)
  • 8.8. Smart Cities & Buildings (Public Safety, Traffic Management)
  • 8.9. Agriculture (Precision Farming)
  • 8.10. Other Verticals (Education, Media & Entertainment)

9. Global AIoT Market, By Geography

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. U.S.
    • 9.2.2. Canada
  • 9.3. Europe
    • 9.3.1. U.K.
    • 9.3.2. Germany
    • 9.3.3. France
    • 9.3.4. Italy
    • 9.3.5. Spain
    • 9.3.6. Nordics
    • 9.3.7. Rest of Europe
  • 9.4. Asia-Pacific
    • 9.4.1. China
    • 9.4.2. India
    • 9.4.3. Japan
    • 9.4.4. South Korea
    • 9.4.5. Australia & New Zealand
    • 9.4.6. ASEAN
    • 9.4.7. Rest of Asia-Pacific
  • 9.5. Latin America
    • 9.5.1. Brazil
    • 9.5.2. Mexico
    • 9.5.3. Argentina
    • 9.5.4. Chile
    • 9.5.5. Rest of Latin America
  • 9.6. Middle East & Africa
    • 9.6.1. Saudi Arabia
    • 9.6.2. UAE
    • 9.6.3. South Africa
    • 9.6.4. Qatar
    • 9.6.5. Rest of Middle East & Africa

10. Competitive Landscape

  • 10.1. Overview
  • 10.2. Market Share Analysis, 2025
  • 10.3. Competitive Dashboard
    • 10.3.1. Industry Leader
    • 10.3.2. Market Differentiators
    • 10.3.3. Vanguards
    • 10.3.4. Emerging Companies
  • 10.4. Strategic Developments (Mergers, Acquisitions, Partnerships, Product Launches)

11. Company Profiles (Business Overview, Financials, Product Portfolio, Strategic Developments)

  • 11.1. NVIDIA Corporation
  • 11.2. Intel Corporation
  • 11.3. Qualcomm Technologies, Inc.
  • 11.4. Samsung Electronics Co., Ltd.
  • 11.5. Amazon Web Services (AWS)
  • 11.6. IBM Corporation
  • 11.7. Microsoft Corporation
  • 11.8. Cisco Systems, Inc.
  • 11.9. Siemens AG
  • 11.10. Schneider Electric
  • 11.11. Honeywell International Inc.
  • 11.12. Rockwell Automation, Inc.
  • 11.13. Advantech Co., Ltd.
  • 11.14. ADLINK Technology Inc.
  • 11.15. Huawei Technologies Co., Ltd.

12. Appendix

  • 12.1. Questionnaire
  • 12.2. Related Reports