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1527352

全球物聯網人工智慧市場規模研究（按部署、按應用、按行業和 2022-2032 年區域預測）

Global Artificial Intelligence of Things Market Size study, by Deployment, by Application, by Industry, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3個工作天內

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簡介目錄

到 2023 年，全球物聯網人工智慧 (AIoT) 市場價值約為 356.5 億美元，預計將大幅成長，2024 年至 2032 年預計年複合成長率(CAGR) 為 32.4%。與物聯網(IoT) 融合的變革性技術，可促進機器的資料收集、學習和規劃能力。這種融合導致了交通、智慧家庭、製造和醫療保健等不同領域的廣泛應用，從而實現了工業現代化並提高了個人的生活品質。

物聯網設備的日益普及、運算能力的增強、人工智慧演算法的進步以及對高效營運和數據驅動洞察的需求，共同推動了對 AIoT 解決方案不斷成長的需求。農業、智慧家庭、醫療保健、製造和交通運輸等行業正在積極利用 AIoT 來提高生產、改善消費者體驗、降低成本並獲得競爭優勢。例如，Amazon Go 商店透過整合可實現交易和庫存管理自動化的物聯網設備，利用 AIoT 徹底改變了零售業，從而顯著增強了購物體驗。永續智慧城市的發展為 AIoT 市場帶來了巨大的市場機遇，因為 AIoT 解決方案促進了流程自動化、智慧決策以及能源和水管理效率的提高。然而，人工智慧和物聯網設備的整合引發了重大的安全和隱私問題。 AIoT 系統收集和分析的大量資料（包括個人資訊和敏感資訊）使它們容易受到網路攻擊。確保資料隱私和保護 AIoT 網路免受網路威脅是可能阻礙市場成長的關鍵挑戰。

全球人工智慧物聯網 (AIoT) 市場研究涵蓋的關鍵區域包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。就收入而言，北美是全球人工智慧物聯網（AIoT）市場的主導地區。該地區的市場成長歸因於物聯網在各個領域的廣泛採用等因素。該地區快速部署感測器和物聯網設備以提高營運效率，為其領先的市場佔有率做出了貢獻。鑑於亞太地區人口眾多、網際網路和行動技術的廣泛採用以及蓬勃發展的製造業，預計將在預測期內以最快的速度成長，這是 AIoT 需求的主要驅動力。

目錄

第 1 章：全球人工智慧物聯網 (AIoT) 市場執行摘要

  • 全球AIoT市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按部署
    • 按申請
    • 按行業分類
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球人工智慧物聯網 (AIoT) 市場定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：全球人工智慧物聯網 (AIoT) 市場動態

  • 市場促進因素
    • 擴大使用物聯網設備和人工智慧演算法
    • 對高效營運和數據驅動洞察的需求
  • 市場挑戰
    • 資料安全和隱私問題
    • 技術複雜性和整合問題
  • 市場機會
    • 永續智慧城市的發展
    • 工業自動化和機器人技術的進步

第 4 章：全球人工智慧物聯網 (AIoT) 市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球人工智慧物聯網 (AIoT) 市場規模與預測：按部署分類 - 2022-2032

  • 細分儀表板
  • 全球 AIoT 市場：2022 年和 2032 年部署收入趨勢分析
    • 基於雲端
    • 邊緣人工智慧物聯網

第 6 章：全球人工智慧物聯網 (AIoT) 市場規模與預測：按應用分類 - 2022-2032

  • 細分儀表板
  • 全球AIoT市場：2022年和2032年應用收入趨勢分析
    • 視訊監控
    • 穩健的資產管理
    • 庫存管理
    • 能源消耗管理
    • 預測性維護
    • 即時機械狀態監測
    • 供應鏈管理

第 7 章：全球人工智慧物聯網 (AIoT) 市場規模與預測：按行業分類 - 2022-2032

  • 細分儀表板
  • 全球AIoT市場：2022年及2032年產業收入趨勢分析
    • 衛生保健
    • 汽車與運輸
    • 零售
    • 農業
    • 製造業
    • 後勤
    • BFSI
    • 其他（石油和天然氣）

第 8 章：全球人工智慧物聯網 (AIoT) 市場規模與預測：按地區 - 2022-2032

  • 北美AIoT市場
    • 美國AIoT市場
    • 加拿大AIoT市場
  • 歐洲AIoT市場
    • 英國AIoT市場
    • 德國AIoT市場
    • 法國AIoT市場
    • 西班牙AIoT市場
    • 義大利AIoT市場
    • 歐洲其他地區AIoT市場
  • 亞太AIoT市場
    • 中國AIoT市場
    • 印度AIoT市場
    • 日本AIoT市場
    • 澳洲AIoT市場
    • 韓國AIoT市場
    • 亞太地區其他 AIoT 市場
  • 拉丁美洲AIoT市場
    • 巴西AIoT市場
    • 墨西哥AIoT市場
    • 拉丁美洲其他地區AIoT市場
  • 中東和非洲AIoT市場
    • 沙烏地阿拉伯AIoT市場
    • 南非AIoT市場
    • 中東和非洲其他地區AIoT市場

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • BOSCH
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Advantech Co., Ltd.
    • Nvidia Corporation
    • CMS Info Systems
    • Amazon Web Services
    • Microsoft Corporation
    • Inventec Corporation
    • Intel Corporation
    • Qualcomm
    • ARM
    • PTC
    • Google LLC
    • IBM Corporation
    • Samsung Electronics Co., Ltd.
    • Huawei Technologies Co., Ltd.
    • Cisco Systems, Inc.

第 10 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Artificial Intelligence of Things (AIoT) Market, valued at approximately USD 35.65 billion in 2023, is poised for substantial growth with a forecasted compound annual growth rate (CAGR) of 32.4% from 2024 to 2032. Artificial Intelligence of Things (AIoT) is a transformative technology that merges artificial intelligence (AI) with the Internet of Things (IoT), facilitating data collection, learning, and planning capabilities in machines. This convergence has led to widespread applications across diverse domains, including transportation, smart homes, manufacturing, and healthcare, thereby modernizing industries and enhancing individuals' quality of life.

The increasing adoption of IoT devices, enhancements in computing power, advancements in AI algorithms, and the demand for efficient operations and data-driven insights have collectively fueled the growing demand for AIoT solutions. Sectors such as agriculture, smart homes, healthcare, manufacturing, and transportation are actively leveraging AIoT to boost production, improve consumer experiences, reduce costs, and gain a competitive edge. For instance, Amazon Go stores revolutionized retail with AIoT by integrating IoT devices that automate transactions and inventory management, thus significantly enhancing the shopping experience. The development of sustainable smart cities presents a significant market opportunity for the AIoT market, as AIoT solutions facilitate process automation, intelligent decision-making, and increased efficiency in energy and water management. However, the integration of AI and IoT devices raises significant security and privacy concerns. The vast amounts of data collected and analyzed by AIoT systems, including personal and sensitive information, make them vulnerable to cyberattacks. Ensuring data privacy and protecting AIoT networks from cyber threats are critical challenges that could impede market growth.

The key regions considered for the Global Artificial Intelligence of Things (AIoT) Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is a dominating region in the Global Artificial Intelligence of Things (AIoT) Market in terms of revenue. The market growth in the region is being attributed to factors including the widespread adoption of IoT across various sectors. The region's rapid deployment of sensors and IoT devices to enhance operational efficiency has contributed to its leading market share. Whereas, the market in the Asia Pacific is anticipated to grow at the fastest rate over the forecast period fueled by the large population, widespread adoption of internet and mobile technologies, and thriving manufacturing sector are key drivers of AIoT demand.

Major market players included in this report are:

  • BOSCH (Germany)
  • Advantech Co., Ltd. (Taiwan)
  • Nvidia Corporation (U.S.)
  • CMS Info Systems (India)
  • Amazon Web Services (U.S.)
  • Microsoft Corporation (U.S.)
  • Inventec Corporation (Taiwan)
  • Intel Corporation (U.S.)
  • Qualcomm (U.S.)
  • ARM (U.K.)
  • PTC (U.S.)
  • Google LLC
  • IBM Corporation
  • Samsung Electronics Co., Ltd.
  • Huawei Technologies Co., Ltd.
  • Cisco Systems, Inc.

The detailed segments and sub-segment of the market are explained below:

By Deployment:

  • Cloud-based
  • Edge AIoT

By Application:

  • Video Surveillance
  • Robust Asset Management
  • Inventory Management
  • Energy Consumption Management
  • Predictive Maintenance
  • Real-Time Machinery Condition Monitoring
  • Supply Chain Management

By Industry:

  • Healthcare
  • Automotive & Transportation
  • Retail
  • Agriculture
  • Manufacturing
  • Logistics
  • BFSI
  • Others (Oil & Gas)

By Region:

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

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence of Things (AIoT) Market Executive Summary

  • 1.1. Global AIoT Market Size & Forecast (2022- 2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Deployment
    • 1.3.2. By Application
    • 1.3.3. By Industry
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence of Things (AIoT) Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence of Things (AIoT) Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Use of IoT Devices and AI Algorithms
    • 3.1.2. Demand for Efficient Operations and Data-Driven Insights
  • 3.2. Market Challenges
    • 3.2.1. Data Security and Privacy Concerns
    • 3.2.2. Technical Complexity and Integration Issues
  • 3.3. Market Opportunities
    • 3.3.1. Development of Sustainable Smart Cities
    • 3.3.2. Advancements in Industrial Automation and Robotics

Chapter 4. Global Artificial Intelligence of Things (AIoT) Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top Investment Opportunity
  • 4.4. Top Winning Strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Deployment 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global AIoT Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Cloud-based
    • 5.2.2. Edge AIoT

Chapter 6. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Application 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global AIoT Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Video Surveillance
    • 6.2.2. Robust Asset Management
    • 6.2.3. Inventory Management
    • 6.2.4. Energy Consumption Management
    • 6.2.5. Predictive Maintenance
    • 6.2.6. Real-Time Machinery Condition Monitoring
    • 6.2.7. Supply Chain Management

Chapter 7. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Industry 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global AIoT Market: Industry Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Healthcare
    • 7.2.2. Automotive & Transportation
    • 7.2.3. Retail
    • 7.2.4. Agriculture
    • 7.2.5. Manufacturing
    • 7.2.6. Logistics
    • 7.2.7. BFSI
    • 7.2.8. Others (Oil & Gas)

Chapter 8. Global Artificial Intelligence of Things (AIoT) Market Size & Forecasts by Region 2022-2032

  • 8.1. North America AIoT Market
    • 8.1.1. U.S. AIoT Market
      • 8.1.1.1. Deployment breakdown size & forecasts, 2022-2032
      • 8.1.1.2. Application breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Industry breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada AIoT Market
  • 8.2. Europe AIoT Market
    • 8.2.1. U.K. AIoT Market
    • 8.2.2. Germany AIoT Market
    • 8.2.3. France AIoT Market
    • 8.2.4. Spain AIoT Market
    • 8.2.5. Italy AIoT Market
    • 8.2.6. Rest of Europe AIoT Market
  • 8.3. Asia-Pacific AIoT Market
    • 8.3.1. China AIoT Market
    • 8.3.2. India AIoT Market
    • 8.3.3. Japan AIoT Market
    • 8.3.4. Australia AIoT Market
    • 8.3.5. South Korea AIoT Market
    • 8.3.6. Rest of Asia Pacific AIoT Market
  • 8.4. Latin America AIoT Market
    • 8.4.1. Brazil AIoT Market
    • 8.4.2. Mexico AIoT Market
    • 8.4.3. Rest of Latin America AIoT Market
  • 8.5. Middle East & Africa AIoT Market
    • 8.5.1. Saudi Arabia AIoT Market
    • 8.5.2. South Africa AIoT Market
    • 8.5.3. Rest of Middle East & Africa AIoT Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. BOSCH
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Advantech Co., Ltd.
    • 9.3.3. Nvidia Corporation
    • 9.3.4. CMS Info Systems
    • 9.3.5. Amazon Web Services
    • 9.3.6. Microsoft Corporation
    • 9.3.7. Inventec Corporation
    • 9.3.8. Intel Corporation
    • 9.3.9. Qualcomm
    • 9.3.10. ARM
    • 9.3.11. PTC
    • 9.3.11. Google LLC
    • 9.3.12. IBM Corporation
    • 9.3.13. Samsung Electronics Co., Ltd.
    • 9.3.14. Huawei Technologies Co., Ltd.
    • 9.3.15. Cisco Systems, Inc.

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes