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市場調查報告書

商品編碼

2024142

AIoT市場預測至2034年—按組件、設備類型、部署方式、應用、最終用戶和地區分類的全球分析

AIoT Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Device Type, Deployment, Application, End User and By Geography

出版日期: 2026年04月17日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球 AIoT 市場規模將達到 426 億美元，並在預測期內以 6.1% 的複合年成長率成長，到 2034 年將達到 684 億美元。

物聯網（AIoT）是指建立一個智慧互聯的生態系統，該系統將機器學習、深度學習、電腦視覺和自然語言處理等人工智慧演算法與物聯網設備網路和感測器基礎設施相整合，從而自主地從物理環境中收集、分析和處理即時數據。這使得預測分析、自動化決策、異常檢測和自適應控制等功能應用於連線健診製造、智慧城市、互聯醫療、精密農業和智慧建築管理等領域。

智慧製造實施規模

隨著智慧製造（工業4.0）專案的實施，工廠正在整合人工智慧驅動的感測器網路，以實現預測性維護、即時品質監控、自主物料流最佳化以及提升整個生產環境中的工人安全，這導致對人工智慧物聯網（AIoT）基礎設施的需求激增。德國、日本、中國和美國的政府製造業競爭力提升投資計畫正在提供激勵資金，以加速工業AIoT的普及，使其發展速度超過市場力量所能承受的範圍。

物聯網設備中的安全漏洞

高調的物聯網網路攻擊會破壞智慧建築系統、工業控制網路和消費性電子設備網路，從而導致實體系統被篡改，造成遠超傳統IT系統安全事件的嚴重安全或營運後果。因此，物聯網設備中的安全漏洞會威脅企業和消費者的人工智慧物聯網（AIoT）生態系統，並日益成為其普及應用的一大障礙。

智慧城市基礎建設投資

智慧城市市政基礎設施投資項目部署了人工智慧物聯網（AIoT）平台，用於智慧交通管理、環境監測、公共安全監控、電網最佳化和市民服務自動化，這為AIoT平台供應商帶來了數十億美元的採購機會。印度、中國、新加坡和中東等國家級智慧城市計畫正在催生大規模的AIoT基礎設施競標，這些計畫樹立了示範性部署案例，推動了智慧城市平台在全球的應用。

對連接基礎設施的依賴

AIoT平台的性能依賴於可靠、高頻寬的連接基礎設施，這在通訊基礎設施不足的區域市場造成了部署限制。這使得AIoT的價值提案極易受到連結中斷的影響，損害其自主運作能力，並降低企業對AIoT投資可靠性的信心，尤其是在需要持續AI監控和控制的關鍵任務型營運應用中。

新冠疫情的影響

新冠疫情凸顯了人工智慧物聯網（AIoT）的戰略價值。在疫情期間人員受限的情況下，非接觸式感測、自動化設施監控和人工智慧驅動的佔用管理系統確保了關鍵營運的正常進行。 AIoT在遠端資產監控和預測性維護方面的部署，有效防止了維護人員減少期間的設備故障。疫情後，企業對混合辦公場所管理和供應鏈韌性的投資持續推動著AIoT在智慧建築和工業監控應用領域的普及。

在預測期內，服務業預計將佔據最大佔有率。

在預測期內，服務板塊預計將佔據最大的市場佔有率。這主要得益於企業對AIoT平台整合、設備叢集管理、AI模型部署和更新服務，以及與複雜的多站點AIoT部署相關的持續性AIoT分析服務的巨大需求。這些部署涉及地理位置分散的運作環境中數千台連網設備。透過持續監控、最佳化和設備生命週期管理提供的AIoT管理服務收入構成了一個高利潤的經常性收入類別。

預計在預測期內，智慧相機細分市場將呈現最高的複合年成長率。

在預測期內，智慧攝影機領域預計將呈現最高的成長率。這主要得益於人工智慧視覺感測器在製造品質檢測、零售分析、智慧城市監控和物流自動化等應用領域的快速部署。在這些領域，攝影機硬體成本的下降、嵌入式人工智慧推理能力的提升以及電腦視覺人工智慧模型的日益普及，共同為智慧攝影機在各種商業環境中的大規模部署創造了極具吸引力的經濟效益。

市佔率最大的地區

在預測期內，北美地區預計將佔據最大的市場佔有率。這是因為美國擁有全球最成熟的工業IoT(IIoT) 和人工智慧物聯網 (AIoT) 部署生態系統，而 IBM、微軟、思科和霍尼韋爾等領先的平台供應商正憑藉其在製造業、能源和智慧建築領域建立的穩固客戶關係，獲得可觀的國內收入，這表明該地區是全球 AIoT 投資最集中的地區。

複合年成長率最高的地區

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要歸功於中國正在實施全球最大的智慧城市和工業IoT部署計畫之一，印度正在啟動大規模智慧城市建設的基礎設施投資，以及物聯網在東南亞製造業的快速普及。預計這將推動政府和私營部門的大量部署投資，從而使亞太地區成為全球人工智慧物聯網（AIoT）市場成長最快的地區。

免費客製化服務

所有購買此報告的客戶均可享受以下免費自訂選項之一。

企業概況
- 對其他市場參與企業（最多 3 家公司）進行全面分析
- 對主要企業進行SWOT分析（最多3家公司）
區域細分
- 我們根據客戶要求提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 透過產品系列、地理覆蓋範圍和策略聯盟對標主要企業。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
其他
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲地區

第11章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第12章：產業趨勢與策略舉措

併購
夥伴關係、聯盟、合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第13章：公司簡介

IBM Corporation
Microsoft Corporation
Google LLC
Amazon Web Services Inc.
Intel Corporation
Cisco Systems Inc.
Samsung Electronics
Huawei Technologies
Siemens AG
Bosch Group
Schneider Electric SE
Honeywell International Inc.
Qualcomm Inc.
Oracle Corporation
SAP SE
Dell Technologies
Hewlett Packard Enterprise

簡介目錄圖表

Product Code: SMRC35353

According to Stratistics MRC, the Global AIoT Market is accounted for $42.6 billion in 2026 and is expected to reach $68.4 billion by 2034 growing at a CAGR of 6.1% during the forecast period. AIoT, or Artificial Intelligence of Things, refers to the integration of artificial intelligence algorithms including machine learning, deep learning, computer vision, and natural language processing with Internet of Things device networks and sensor infrastructure to create intelligent connected ecosystems that autonomously collect, analyze, and act on real-time data from physical environments, enabling predictive analytics, automated decision-making, anomaly detection, and adaptive control across smart manufacturing, smart cities, connected healthcare, precision agriculture, and intelligent building management applications.

Market Dynamics:

Driver:

Smart Manufacturing Deployment Scale

Smart manufacturing Industry 4.0 program deployments are generating massive AIoT infrastructure procurement as factories integrate AI-powered sensor networks for predictive equipment maintenance, real-time quality monitoring, autonomous material flow optimization, and worker safety enhancement across production environments. Government manufacturing competitiveness investment programs in Germany, Japan, China, and the United States are providing incentive funding that accelerates industrial AIoT adoption beyond what market economics alone would support.

Restraint:

IoT Device Security Vulnerabilities

IoT device security vulnerabilities creating enterprise and consumer AIoT ecosystem compromise risks represent growing adoption barriers as high-profile IoT cyberattacks compromising smart building systems, industrial control networks, and consumer device networks generate security concern that slows AIoT deployment in critical infrastructure applications where device compromise could enable physical system manipulation with serious safety or operational consequences beyond conventional IT system security incidents.

Opportunity:

Smart City Infrastructure Investment

Smart city municipal infrastructure investment programs deploying AIoT platforms for intelligent traffic management, environmental monitoring, public safety surveillance, utility grid optimization, and citizen service automation represent multi-billion dollar procurement opportunities for AIoT platform vendors. National smart city programs across India, China, Singapore, and the Middle East are generating large-scale AIoT infrastructure tenders that establish reference deployments driving global smart city platform adoption.

Threat:

Connectivity Infrastructure Dependency

AIoT platform performance dependency on reliable high-bandwidth connectivity infrastructure creates deployment limitation risks in geographic markets with inadequate telecommunications infrastructure, exposing AIoT value propositions to connectivity interruption vulnerabilities that undermine autonomous operation capabilities and reduce enterprise confidence in AIoT investment reliability for mission-critical operational applications requiring continuous AI-powered monitoring and control.

Covid-19 Impact:

COVID-19 demonstrated AIoT strategic value as contactless sensing, automated facility monitoring, and AI-powered occupancy management systems maintained essential operations during pandemic-era human access restrictions. Remote asset monitoring and predictive maintenance AIoT deployments prevented equipment failures during reduced maintenance staffing periods. Post-pandemic hybrid workplace management and supply chain resilience investment continue driving enterprise AIoT adoption across smart building and industrial monitoring applications.

The services segment is expected to be the largest during the forecast period

The services segment is expected to account for the largest market share during the forecast period, due to substantial enterprise demand for AIoT platform integration, device fleet management, AI model deployment and update services, and ongoing managed AIoT analytics services that accompany complex multi-site AIoT deployments spanning thousands of connected devices across geographically distributed operational environments. Managed AIoT service revenue from continuous monitoring, optimization, and device lifecycle management represents a high-margin recurring revenue category.

The smart cameras segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the smart cameras segment is predicted to witness the highest growth rate, driven by rapidly expanding deployment of AI-powered vision sensors across manufacturing quality inspection, retail analytics, smart city surveillance, and logistics automation applications where the convergence of falling camera hardware costs, improved embedded AI inference capability, and expanding computer vision AI model availability creates compelling economics for high-volume smart camera deployment across diverse commercial environments.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting the world's most mature industrial IoT and AIoT deployment ecosystem with leading platform vendors including IBM, Microsoft, Cisco, and Honeywell generating substantial domestic revenue from established manufacturing, energy, and smart building sector customer relationships representing the highest per-region AIoT investment concentrations globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China implementing the world's most extensive smart city and industrial IoT deployment programs, India launching large-scale smart city mission infrastructure investment, and rapidly expanding manufacturing sector IoT adoption across Southeast Asia generating the fastest regional AIoT market growth globally driven by substantial government and private sector deployment investment.

Key players in the market

Some of the key players in AIoT Market include IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services Inc., Intel Corporation, Cisco Systems Inc., Samsung Electronics, Huawei Technologies, Siemens AG, Bosch Group, Schneider Electric SE, Honeywell International Inc., Qualcomm Inc., Oracle Corporation, SAP SE, Dell Technologies, and Hewlett Packard Enterprise.

Key Developments:

In February 2026, Honeywell International Inc. introduced an AI-powered smart building IoT management platform providing autonomous HVAC, lighting, and security optimization across enterprise real estate portfolios using connected sensor ecosystem data.

In January 2026, Bosch Group expanded its AIoT solutions portfolio with a new predictive quality management platform combining machine vision AI with IoT sensor analytics for inline defect prevention in automotive component manufacturing.

In November 2025, Qualcomm Inc. launched an industrial AIoT development platform enabling enterprises to rapidly prototype and deploy AI-powered IoT applications across Qualcomm-powered edge gateway and sensor device ecosystems.

Components Covered:

Hardware
Software
Services

Device Types Covered:

Smart Cameras
Wearables
Industrial Robots
Smart Meters
Connected Appliances
Edge Servers

Deployments Covered:

Cloud-Based
On-Premise

Applications Covered:

Smart Homes
Smart Cities
Industrial IoT
Healthcare

End Users Covered:

Manufacturing
Biomedical Sector
Retail
Automotive

Regions Covered:

North America
- United States
- Canada
- Mexico
Europe
- United Kingdom
- Germany
- France
- Italy
- Spain
- Netherlands
- Belgium
- Sweden
- Switzerland
- Poland
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Thailand
- Malaysia
- Singapore
- Vietnam
- Rest of Asia Pacific
South America
- Brazil
- Argentina
- Colombia
- Chile
- Peru
- Rest of South America
Rest of the World (RoW)
- Middle East
Saudi Arabia
United Arab Emirates
Qatar
Israel
Rest of Middle East
- Africa
South Africa
Egypt
Morocco
Rest of Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global AIoT Market, By Component

5.1 Hardware
- 5.1.1 Processors
- 5.1.2 Memory & Storage
- 5.1.3 Networking Components
5.2 Software
- 5.2.1 AI Platforms & Frameworks
- 5.2.2 IoT Platform Software
- 5.2.3 Data Analytics & Visualization
5.3 Services
- 5.3.1 Consulting & Advisory
- 5.3.2 Integration & Deployment

6 Global AIoT Market, By Device Type

6.1 Smart Cameras
6.2 Wearables
6.3 Industrial Robots
6.4 Smart Meters
6.5 Connected Appliances
6.6 Edge Servers

7 Global AIoT Market, By Deployment

7.1 Cloud-Based
7.2 On-Premise

8 Global AIoT Market, By Application

8.1 Smart Homes
8.2 Smart Cities
8.3 Industrial IoT
8.4 Healthcare

9 Global AIoT Market, By End User

9.1 Manufacturing
9.2 Biomedical Sector
9.3 Retail
9.4 Automotive

10 Global AIoT Market, By Geography

10.1 North America
- 10.1.1 United States
- 10.1.2 Canada
- 10.1.3 Mexico
10.2 Europe
- 10.2.1 United Kingdom
- 10.2.2 Germany
- 10.2.3 France
- 10.2.4 Italy
- 10.2.5 Spain
- 10.2.6 Netherlands
- 10.2.7 Belgium
- 10.2.8 Sweden
- 10.2.9 Switzerland
- 10.2.10 Poland
- 10.2.11 Rest of Europe
10.3 Asia Pacific
- 10.3.1 China
- 10.3.2 Japan
- 10.3.3 India
- 10.3.4 South Korea
- 10.3.5 Australia
- 10.3.6 Indonesia
- 10.3.7 Thailand
- 10.3.8 Malaysia
- 10.3.9 Singapore
- 10.3.10 Vietnam
- 10.3.11 Rest of Asia Pacific
10.4 South America
- 10.4.1 Brazil
- 10.4.2 Argentina
- 10.4.3 Colombia
- 10.4.4 Chile
- 10.4.5 Peru
- 10.4.6 Rest of South America
10.5 Rest of the World (RoW)
- 10.5.1 Middle East
  - 10.5.1.1 Saudi Arabia
  - 10.5.1.2 United Arab Emirates
  - 10.5.1.3 Qatar
  - 10.5.1.4 Israel
  - 10.5.1.5 Rest of Middle East
- 10.5.2 Africa
  - 10.5.2.1 South Africa
  - 10.5.2.2 Egypt
  - 10.5.2.3 Morocco
  - 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

11.1 Industry Value Network and Supply Chain Assessment
11.2 White-Space and Opportunity Mapping
11.3 Product Evolution and Market Life Cycle Analysis
11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

12.1 Mergers and Acquisitions
12.2 Partnerships, Alliances, and Joint Ventures
12.3 New Product Launches and Certifications
12.4 Capacity Expansion and Investments
12.5 Other Strategic Initiatives

13 Company Profiles

13.1 IBM Corporation
13.2 Microsoft Corporation
13.3 Google LLC
13.4 Amazon Web Services Inc.
13.5 Intel Corporation
13.6 Cisco Systems Inc.
13.7 Samsung Electronics
13.8 Huawei Technologies
13.9 Siemens AG
13.10 Bosch Group
13.11 Schneider Electric SE
13.12 Honeywell International Inc.
13.13 Qualcomm Inc.
13.14 Oracle Corporation
13.15 SAP SE
13.16 Dell Technologies
13.17 Hewlett Packard Enterprise

簡介目錄圖表

List of Tables

Table 1 Global AIoT Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global AIoT Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global AIoT Market Outlook, By Hardware (2023-2034) ($MN)
Table 4 Global AIoT Market Outlook, By Processors (2023-2034) ($MN)
Table 5 Global AIoT Market Outlook, By Memory & Storage (2023-2034) ($MN)
Table 6 Global AIoT Market Outlook, By Networking Components (2023-2034) ($MN)
Table 7 Global AIoT Market Outlook, By Software (2023-2034) ($MN)
Table 8 Global AIoT Market Outlook, By AI Platforms & Frameworks (2023-2034) ($MN)
Table 9 Global AIoT Market Outlook, By IoT Platform Software (2023-2034) ($MN)
Table 10 Global AIoT Market Outlook, By Data Analytics & Visualization (2023-2034) ($MN)
Table 11 Global AIoT Market Outlook, By Services (2023-2034) ($MN)
Table 12 Global AIoT Market Outlook, By Consulting & Advisory (2023-2034) ($MN)
Table 13 Global AIoT Market Outlook, By Integration & Deployment (2023-2034) ($MN)
Table 14 Global AIoT Market Outlook, By Device Type (2023-2034) ($MN)
Table 15 Global AIoT Market Outlook, By Smart Cameras (2023-2034) ($MN)
Table 16 Global AIoT Market Outlook, By Wearables (2023-2034) ($MN)
Table 17 Global AIoT Market Outlook, By Industrial Robots (2023-2034) ($MN)
Table 18 Global AIoT Market Outlook, By Smart Meters (2023-2034) ($MN)
Table 19 Global AIoT Market Outlook, By Connected Appliances (2023-2034) ($MN)
Table 20 Global AIoT Market Outlook, By Edge Servers (2023-2034) ($MN)
Table 21 Global AIoT Market Outlook, By Deployment (2023-2034) ($MN)
Table 22 Global AIoT Market Outlook, By Cloud-Based (2023-2034) ($MN)
Table 23 Global AIoT Market Outlook, By On-Premise (2023-2034) ($MN)
Table 24 Global AIoT Market Outlook, By Application (2023-2034) ($MN)
Table 25 Global AIoT Market Outlook, By Smart Homes (2023-2034) ($MN)
Table 26 Global AIoT Market Outlook, By Smart Cities (2023-2034) ($MN)
Table 27 Global AIoT Market Outlook, By Industrial IoT (2023-2034) ($MN)
Table 28 Global AIoT Market Outlook, By Healthcare (2023-2034) ($MN)
Table 29 Global AIoT Market Outlook, By End User (2023-2034) ($MN)
Table 30 Global AIoT Market Outlook, By Manufacturing (2023-2034) ($MN)
Table 31 Global AIoT Market Outlook, By Biomedical Sector (2023-2034) ($MN)
Table 32 Global AIoT Market Outlook, By Retail (2023-2034) ($MN)
Table 33 Global AIoT Market Outlook, By Automotive (2023-2034) ($MN)