查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1527352

全球物联网人工智慧市场规模研究（按部署、按应用、按行业和 2022-2032 年区域预测）

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个工作天内

价格
简介目录

到 2023 年，全球物联网人工智慧 (AIoT) 市场价值约为 356.5 亿美元，预计将大幅成长，2024 年至 2032 年预计年复合成长率(CAGR) 为 32.4%。与物联网(IoT) 融合的变革性技术，可促进机器的资料收集、学习和规划能力。这种融合导致了交通、智慧家庭、製造和医疗保健等不同领域的广泛应用，从而实现了工业现代化并提高了个人的生活品质。

物联网设备的日益普及、运算能力的增强、人工智慧演算法的进步以及对高效营运和数据驱动洞察的需求，共同推动了对 AIoT 解决方案不断增长的需求。农业、智慧家庭、医疗保健、製造和交通运输等行业正在积极利用 AIoT 来提高生产、改善消费者体验、降低成本并获得竞争优势。例如，Amazon Go 商店透过整合可实现交易和库存管理自动化的物联网设备，利用 AIoT 彻底改变了零售业，从而显着增强了购物体验。永续智慧城市的发展为 AIoT 市场带来了巨大的市场机会，因为 AIoT 解决方案促进了流程自动化、智慧决策以及能源和水管理效率的提高。然而，人工智慧和物联网设备的整合引发了重大的安全和隐私问题。 AIoT 系统收集和分析的大量资料（包括个人资讯和敏感资讯）使它们容易受到网路攻击。确保资料隐私和保护 AIoT 网路免受网路威胁是可能阻碍市场成长的关键挑战。

全球人工智慧物联网 (AIoT) 市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。就收入而言，北美是全球人工智慧物联网（AIoT）市场的主导地区。该地区的市场成长归因于物联网在各个领域的广泛采用等因素。该地区快速部署感测器和物联网设备以提高营运效率，为其领先的市场份额做出了贡献。鑑于亚太地区人口众多、互联网和行动技术的广泛采用以及蓬勃发展的製造业，预计将在预测期内以最快的速度增长，这是 AIoT 需求的主要驱动力。

目录

第 1 章：全球人工智慧物联网 (AIoT) 市场执行摘要

  • 全球AIoT市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按部署
    • 按申请
    • 按行业分类
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球人工智慧物联网 (AIoT) 市场定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：全球人工智慧物联网 (AIoT) 市场动态

  • 市场驱动因素
    • 越来越多地使用物联网设备和人工智慧演算法
    • 对高效营运和数据驱动洞察的需求
  • 市场挑战
    • 资料安全和隐私问题
    • 技术复杂性和整合问题
  • 市场机会
    • 永续智慧城市的发展
    • 工业自动化和机器人技术的进步

第 4 章：全球人工智慧物联网 (AIoT) 市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球人工智慧物联网 (AIoT) 市场规模与预测：按部署划分 - 2022-2032

  • 细分仪表板
  • 全球 AIoT 市场：2022 年和 2032 年部署收入趋势分析
    • 基于云端
    • 边缘人工智慧物联网

第 6 章：全球人工智慧物联网 (AIoT) 市场规模与预测：按应用分类 - 2022-2032

  • 细分仪表板
  • 全球AIoT市场：2022年和2032年应用收入趋势分析
    • 视讯监控
    • 稳健的资产管理
    • 库存管理
    • 能源消耗管理
    • 预测性维护
    • 即时机械状态监测
    • 供应链管理

第 7 章：全球人工智慧物联网 (AIoT) 市场规模与预测：按行业分类 - 2022-2032

  • 细分仪表板
  • 全球AIoT市场：2022年及2032年产业收入趋势分析
    • 卫生保健
    • 汽车与运输
    • 零售
    • 农业
    • 製造业
    • 后勤
    • BFSI
    • 其他（石油和天然气）

第 8 章：全球人工智慧物联网 (AIoT) 市场规模与预测：按地区 - 2022-2032

  • 北美AIoT市场
    • 美国AIoT市场
    • 加拿大AIoT市场
  • 欧洲AIoT市场
    • 英国AIoT市场
    • 德国AIoT市场
    • 法国AIoT市场
    • 西班牙AIoT市场
    • 义大利AIoT市场
    • 欧洲其他地区AIoT市场
  • 亚太AIoT市场
    • 中国AIoT市场
    • 印度AIoT市场
    • 日本AIoT市场
    • 澳洲AIoT市场
    • 韩国AIoT市场
    • 亚太地区其他 AIoT 市场
  • 拉丁美洲AIoT市场
    • 巴西AIoT市场
    • 墨西哥AIoT市场
    • 拉丁美洲其他地区AIoT市场
  • 中东和非洲AIoT市场
    • 沙乌地阿拉伯AIoT市场
    • 南非AIoT市场
    • 中东和非洲其他地区AIoT市场

第 9 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • BOSCH
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • 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：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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