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市場調查報告書
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1618219

AIoT市場機會、成長動力、產業趨勢分析及2024年至2032年預測

AIoT Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 166 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年,全球 AIoT 市場價值 108 億美元,預計 2024 年至 2032 年複合年成長率為 24.6%。 這種快速成長主要是由政府加大數位化轉型舉措推動的。世界各國政府正在認知到 AIoT 技術在提高效率、促進創新和增強公共服務方面的潛力。透過資助智慧城市、先進製造和數位基礎設施領域的項目,他們正在為人工智慧物聯網的採用創造支援性環境,通常專注於整合人工智慧和物聯網,以最佳化資源管理、交通和醫療保健系統。 AIoT 市場成長的一個重要驅動力是對能源效率和永續性的重視。

隨著人們對氣候變遷和資源枯竭的日益擔憂,企業和政府都在優先考慮減少能源消耗和最佳化資源利用的技術。 AIoT 解決方案透過實現更智慧的能源管理和自動化,對於實現這些永續發展目標至關重要。對永續發展的關注正在刺激各行業對 AIoT 技術的投資,因為組織努力提高營運效率,同時盡量減少對環境的影響。軟體領域在 AIoT 市場佔據主導資料,到 2023 年將佔據超過 65% 的市場佔有率,預計到 2032 年將超過 450 億美元。

當公司採用 AIoT 解決方案時,他們會透過互連工具創建大量資料。這些資料蘊藏著寶貴的見解,可以最佳化營運、增強決策並推動創新。具有複雜分析功能的 AIoT 軟體使企業能夠即時處理和分析資料,識別模式、趨勢和異常。隨著各產業更加重視數據驅動,對具有強大分析功能的 AIoT 軟體的需求持續成長。

市場範圍
開始年份 2023年
預測年份 2024-2032
起始值 108億美元
預測值 756 億美元
複合年成長率 24.6%

在部署方面,到2023年,雲端細分市場佔據約67%的市場佔有率。雲端平台提供處理波動的工作負載所需的可擴展性,使組織能夠即時調整其資源。此外,雲端部署加速了人工智慧和物聯網功能的持續整合,無需大量本地基礎設施即可進行進階資料處理和分析。這降低了前期成本並簡化了維護,使其成為各種規模組織的有吸引力的選擇。

美國AIoT市場在2023年佔據80%的佔有率,預計到2032年將超過170億美元。智慧製造使用互連設備和進階分析來最大限度地減少生產程序、監控設備執行情況並檢測維護需求。透過將人工智慧與物聯網系統整合,企業可以即時了解其營運情況,從而加快決策速度並改善資源管理。對個人化商品和活躍供應鏈的需求進一步鼓勵製造商實施具有靈活性和反應能力的 AIoT 解決方案。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
    • 技術提供者
    • 雲端服務供應商
    • 電信公司
    • 系統整合商
    • 最終用途
  • 供應商格局
  • 利潤率分析
  • 技術與創新格局
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 製造業的採用率不斷上升
      • AIoT平台設備效率高
      • 跨產業更採用 AIoT 平台裝置進行即時決策
      • 物聯網投資不斷成長
    • 產業陷阱與挑戰
      • 需要 AIoT 平台專業知識的公司缺乏熟練勞動力
      • 產業價值鏈的複雜性
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按組成部分,2021 - 2032 年

  • 主要趨勢
  • 軟體
  • 服務

第 6 章:市場估計與預測:按部署分類,2021 年 - 2032 年

  • 主要趨勢
  • 本地

第 7 章:市場估計與預測:依最終用途,2021 - 2032 年

  • 主要趨勢
  • 製造業
  • 基礎設施
  • 衛生保健
  • 零售
  • BFSI
  • 汽車
  • 其他

第 8 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 荷蘭
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 新加坡
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • MEA
    • 海灣合作理事會
    • 南非

第 9 章:公司簡介

  • Alibaba
  • AWS
  • Baidu
  • Brighterion
  • Canvass Analytics
  • Cisco
  • Fujitsu
  • General Vision
  • Google
  • HPE
  • Huawei
  • IBM
  • Intel
  • Microsoft
  • Nvidia
  • Oracle
  • PTC Inc.
  • Qualcomm
  • SAP
  • Tencent
簡介目錄
Product Code: 5717

The Global AIoT Market was worth USD 10.8 billion in 2023 and is predicted to grow at a CAGR of 24.6% from 2024 to 2032. This rapid growth is largely driven by increased government initiatives aimed at digital transformation. Governments worldwide are recognizing the potential of AIoT technologies to boost efficiency, foster innovation, and enhance public services. By funding projects in smart cities, advanced manufacturing, and digital infrastructure, they are creating a supportive environment for AIoT adoption, often focusing on integrating AI and IoT to optimize resource management, transportation, and healthcare systems. A significant driver of AIoT market growth is the emphasis on energy efficiency and sustainability.

With growing concerns about climate change and resource depletion, both businesses and governments are prioritizing technologies that reduce energy consumption and optimize resource use. AIoT solutions are crucial for achieving these sustainability goals by allowing smarter energy management and automation. This focus on sustainability is spurring investments in AIoT technologies across various sectors as organizations strive to enhance operational efficiency while minimizing their environmental impact. The software segment dominated the AIoT market, accounting for over 65% of the market share in 2023, and is expected to surpass USD 45 billion by 2032. This growth is driven by the increasing need for advanced data analytics.

As companies incorporate AIoT solutions, they create huge data from interconnected tools. This data holds valuable insights that can optimize operations, enhance decision-making, and drive innovation. AIoT software with sophisticated analytics capabilities allows businesses to process and analyze data in real-time, identifying patterns, trends, and anomalies. As industries focus more on becoming data-driven, the demand for AIoT software with robust analytics features continues to grow.

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$10.8 billion
Forecast Value$75.6 billion
CAGR24.6%

Regarding deployment, the cloud segment held around 67% of the market share in 2023. The demand for scalable and flexible infrastructure is driving the growth of cloud deployment. Cloud platforms offer the scalability needed to handle fluctuating workloads, enabling organizations to adjust their resources in real-time. In addition, cloud deployment accelerates the continuous incorporation of AI and IoT capabilities, allowing advanced data processing and analytics without extensive on-premises infrastructure. This reduces upfront costs and simplifies maintenance, making it an attractive option for organizations of all sizes.

U.S. AIoT market captured an 80% share in 2023 and is expected to exceed USD 17 billion by 2032. This dominance is due to the increasing emphasis on smart manufacturing and industrial automation. Smart manufacturing uses interconnected devices and advanced analytics to minimize production procedures, monitor equipment execution, and detect maintenance requirements. By integrating AI with IoT systems, businesses can gain real-time insights into their operations, enabling faster decision-making and improved resource management. The need for personalized goods and active supply chains further encourages manufacturers to implement AIoT solutions that enable flexibility and responsiveness.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definition

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Technology providers
    • 3.1.2 Cloud service providers
    • 3.1.3 Telecommunication companies
    • 3.1.4 System integrators
    • 3.1.5 End Use
  • 3.2 Supplier landscape
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Key news & initiatives
  • 3.6 Regulatory landscape
  • 3.7 Impact forces
    • 3.7.1 Growth drivers
      • 3.7.1.1 Rising adoption in manufacturing industry
      • 3.7.1.2 High efficiency of AIoT platform devices
      • 3.7.1.3 Increased adoption of AIoT platforms devices across sectors for real-time decision making
      • 3.7.1.4 Growing investment in IoT
    • 3.7.2 Industry pitfalls & challenges
      • 3.7.2.1 Shortage of skilled workforce in companies requiring expertise in AIoT platforms
      • 3.7.2.2 Complexities in industry value chain
  • 3.8 Growth potential analysis
  • 3.9 Porter's analysis
  • 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Software
  • 5.3 Services

Chapter 6 Market Estimates & Forecast, By Deployment, 2021 - 2032 ($Bn)

  • 6.1 Key trends
  • 6.2 On-premises
  • 6.3 Cloud

Chapter 7 Market Estimates & Forecast, By End Use, 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 Manufacturing
  • 7.3 infrastructure
  • 7.4 Healthcare
  • 7.5 Retail
  • 7.6 BFSI
  • 7.7 Automotive
  • 7.8 Other

Chapter 8 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
  • 8.3 Europe
    • 8.3.1 UK
    • 8.3.2 Germany
    • 8.3.3 France
    • 8.3.4 Spain
    • 8.3.5 Italy
    • 8.3.6 Netherlands
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 India
    • 8.4.3 Japan
    • 8.4.4 South Korea
    • 8.4.5 ANZ
    • 8.4.6 Singapore
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Mexico
  • 8.6 MEA
    • 8.6.1 GCC
    • 8.6.2 South Africa

Chapter 9 Company Profiles

  • 9.1 Alibaba
  • 9.2 AWS
  • 9.3 Baidu
  • 9.4 Brighterion
  • 9.5 Canvass Analytics
  • 9.6 Cisco
  • 9.7 Fujitsu
  • 9.8 General Vision
  • 9.9 Google
  • 9.10 HPE
  • 9.11 Huawei
  • 9.12 IBM
  • 9.13 Intel
  • 9.14 Microsoft
  • 9.15 Nvidia
  • 9.16 Oracle
  • 9.17 PTC Inc.
  • 9.18 Qualcomm
  • 9.19 SAP
  • 9.20 Tencent