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市場調查報告書
商品編碼
1947526

人工智慧物聯網市場：依產品、部署、應用和產業劃分－全球預測至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個工作天內

價格
簡介目錄

全球人工智慧物聯網 (AIoT) 市場預計將以29.4%的複合年增長率成長，從2026年的370.5億美元成長到2036年的約4,854.5億美元。

本報告對全球五大主要區域的AIoT市場進行了詳細分析，重點關注當前市場趨勢、市場規模、最新發展以及至2036年的預測。透過廣泛的二級和一級研究以及對市場現狀的深入分析，我們對關鍵產業驅動因素、限制因素、機會和挑戰進行了影響分析。

推動AIoT市場成長的關鍵因素包括全球對營運智慧日益增長的興趣，以及自主系統在各種工業和商業環境中的快速擴展。 此外，邊緣智慧的整合、對即時資源優化日益增長的需求以及先進AIoT平台的擴展，預計將為AIoT市場中的企業創造巨大的成長機會。

市場區隔

目錄

第一章：引言

第二章：摘要整理

第三章：市場概覽

  • 市場動態
    • 驅動因素
      • 對營運效率和自動化日益增長的需求
      • 邊緣運算在即時決策的應用日益廣泛
      • 5G和6G連結在工業環境中的普及
      • 自主系統與機器人技術的擴展
    • 限制因素
      • 高部署成本與整合挑戰
      • 資料隱私與網路安全問題
    • 機遇
      • 邊緣環境：在智慧城市計畫中整合生成式人工智慧和本地生命週期管理
      • 智慧城市計畫與城市現代化
      • 綠色人工智慧物聯網和節能系統的興起
    • 挑戰
      • 碎片化物聯網生態系中的互通性挑戰
      • 人工智慧和物聯網工程技術人才短缺
  • 未滿足的需求與空白市場
  • 互聯市場與跨產業機遇
  • 一、二、三級廠商的策略舉措

第四章 產業趨勢

  • 人工智慧物聯網與邊緣智慧的演進
  • 波特五力模型分析
  • 供應鏈分析
  • 生態系分析
    • 半導體和晶片製造商
    • 感測器和連接模組供應商
    • AIoT平台和軟體供應商
    • 雲端基礎設施供應商
    • 託管服務提供者
  • 定價分析
  • 監管框架和標準化
  • 生成式人工智慧對AIoT市場的影響

第五章：全球AIoT市場依產品/服務劃分

  • 硬體
    • 處理器與SoC（GPU、TPU、FPGA、ASIC）
    • 感測器和執行器
    • 連線模組（5G、Wi-Fi）（6月7日、LoRaWAN）
    • 邊緣設備網關
  • 軟體
    • AIoT平台（裝置、應用程式和連線管理）
    • 分析與資料管理工具
    • 網路安全與身分管理
  • 服務
    • 專業服務（整合、諮詢與支援）
    • 託管服務

第六章 全球AIoT市場（依部署方式劃分）

  • 邊緣AIoT（設備端處理）
  • 雲AIoT
  • 混合AIoT

第七章 全球AIoT市場（依應用劃分）

  • 預測性維護
  • 即時監控與診斷
  • 資產追蹤與管理
  • 自主系統（機器人、無人機等）車輛）
  • 智慧自動化與控制
  • 品質檢測與安防
  • 其他應用

第八章：全球AIoT市場依產業劃分

  • 製造業（工業AIoT、智慧工廠）
  • 醫療保健（互聯醫療設備、遠端監控）
  • 零售與電子商務（智慧貨架、個人化行銷）
  • 銀行、金融服務和保險（BFSI）
  • 能源與公用事業（智慧電網、資源最佳化）
  • 交通運輸與物流（車隊管理、智慧倉庫）
  • 智慧城市與建築（公共安全、交通管理）
  • 農業（精準農業）
  • 其他行業（教育、媒體與娛樂）

第九章：全球AIoT市場依產業劃分

地區
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 北歐國家
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲和紐西蘭
    • 東協
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 智利
    • 其他拉丁美洲地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非非洲
    • 卡達
    • 中東和非洲其他地區

第十章 競爭格局

  • 2025 年市佔率分析
  • 競爭格局概覽
    • 行業領導者
    • 市場差異化因素
    • 先鋒企業
    • 新興企業
  • 策略發展（併購、合作、產品發布）

第十一章 公司簡介（業務概覽、財務狀況、產品組合、策略發展）

  • 英偉達公司
  • 英特爾公司
  • 高通科技公司
  • 三星電子有限公司
  • 亞馬遜網路服務 (AWS)
  • IBM 公司
  • 微軟公司
  • 思科系統公司 (Cisco Systems, Inc.)
  • 西門子股份公司 (Siemens AG)
  • 施耐德電機 (Schneider Electric)
  • 霍尼韋爾國際公司 (Honeywell International Inc.)
  • 羅克韋爾自動化公司 (Rockwell Automation, Inc.)
  • 研華科技股份有限公司 (Advantech Co., Ltd.)
  • 凌華科技股份有限公司 (ADLINK Technology Inc.)
  • 華為技術有限公司 (Huawei Technologies Co., Ltd.)

第十二章附錄

簡介目錄
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