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1522832

全球邊緣人工智慧市場規模研究，按處理器、組件、來源、最終用途、應用和區域預測 2022-2032

Global Edge Artificial Intelligence Market Size Study, by Processor, by Component, by Source, by End-Use, by Application and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球邊緣人工智慧市場價值約為10.6億美元，預計在2024-2032年預測期內將以超過24.80%的健康成長率成長。邊緣人工智慧（AI）是指人工智慧演算法在硬體設備本地處理，無需依賴雲端即可實現即時資料處理和決策的系統。這種去中心化的方法是透過將先進的人工智慧和機器學習功能直接整合到智慧型手機、物聯網設備和自動駕駛汽車等邊緣設備中來實現的，正在各個行業中獲得關注。對低延遲處理和即時決策能力的需求激增正在推動邊緣人工智慧技術的開發和採用。

物聯網設備的激增以及在不使網路頻寬過載的情況下從源頭處理大量資料的需求進一步推動了對邊緣人工智慧解決方案的需求。然而，資料安全和隱私問題等挑戰，加上在邊緣設備上部署和維護人工智慧模型的複雜性，可能會阻礙市場成長。儘管如此，在半導體技術進步和人工智慧研究投資增加的推動下，醫療保健、汽車和製造領域存在重大機遇，從而帶來更強大、更高效的邊緣人工智慧解決方案。 ASIC 因其高效率和針對特定 AI 演算法的最佳化而受到青睞，使其成為需要即時處理的大容量嵌入式裝置的理想選擇。 CPU 作為通用處理器，具有靈活性，適合需要複雜決策能力的應用。 GPU 擅長並行處理任務，有利於深度學習、視訊分析和 AI 模型訓練，增強其在邊緣 AI 應用中的使用。然而，資料安全和隱私問題以及人工智慧模型部署的複雜性將抑制 2024-2032 年預測期內的市場成長。

邊緣人工智慧能夠即時處理生物辨識、行動、感測器、語音和視訊資料，顯著減少延遲並增強隱私。汽車產業利用邊緣人工智慧進行自動駕駛、預測性維護和增強用戶體驗。能源和公用事業利用邊緣人工智慧進行電網運作和基礎設施維護。在政府和公共部門，邊緣人工智慧對於智慧城市計畫、公共安全和交通系統至關重要。醫療保健透過病患監測、醫學影像分析和醫院物流從邊緣人工智慧中受益。製造業利用邊緣人工智慧進行品質控制、預測性維護和供應鏈最佳化，而電信營運商則將其用於網路最佳化和預測分析。

全球邊緣人工智慧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、中東和非洲。從地區來看，由於技術創新和物聯網設備的普及，北美在邊緣人工智慧採用的市場佔有率中佔據主導地位。歐洲、中東和非洲地區的成長是由嚴格的隱私法規和智慧城市計畫推動的，特別是在歐洲和中東。在政府支援、技術進步以及採用邊緣人工智慧進行即時流程最佳化的大型製造基地的推動下，亞太地區預計將出現最快的成長率。

目錄

第 1 章：全球邊緣人工智慧市場執行摘要

  • 全球邊緣人工智慧市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 按處理器
    • 按組件
    • 按來源
    • 按最終用途
    • 按申請
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球邊緣人工智慧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：全球邊緣人工智慧市場動態

  • 市場促進因素
    • 低延遲處理的需求增加
    • 物聯網設備的激增
    • 即時決策能力
  • 市場挑戰
    • 資料安全和隱私問題
    • AI模型部署的複雜性
  • 市場機會
    • 醫療保健、汽車和製造領域的智慧應用
    • 半導體技術的進步
    • 增加人工智慧研究的投資

第 4 章：全球邊緣人工智慧市場產業分析

  • 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：2022-2032 年全球邊緣人工智慧市場規模及處理器預測

  • 細分儀表板
  • 全球邊緣人工智慧市場：2022 年和 2032 年處理器收入趨勢分析
    • 專用積體電路
    • 中央處理器
    • 圖形處理器

第 6 章：2022-2032 年全球邊緣人工智慧市場規模及組成部分預測

  • 細分儀表板
  • 全球邊緣人工智慧市場：2022 年和 2032 年組件收入趨勢分析
    • 服務
      • 支援與維護
      • 系統整合與測試
      • 培訓與諮詢
    • 解決方案
      • 平台
      • 軟體工具

第 7 章：2022-2032 年全球邊緣人工智慧市場規模及來源預測

  • 細分儀表板
  • 全球邊緣人工智慧市場：2022 年和 2032 年來源收入趨勢分析
    • 生物辨識數據
    • 行動數據
    • 感測器數據
    • 語音辨識
    • 視訊和圖像識別

第 8 章：2022-2032 年全球邊緣人工智慧市場規模及最終用途預測

  • 細分儀表板
  • 全球邊緣人工智慧市場：2022 年和 2032 年最終用途收入趨勢分析
    • 汽車
    • 能源和公用事業
    • 政府及公部門
    • 衛生保健
    • 製造業
    • 電信

第 9 章：2022-2032 年全球邊緣人工智慧市場規模及應用預測

  • 細分儀表板
  • 全球邊緣人工智慧市場：2022 年和 2032 年應用收入趨勢分析
    • 存取管理
    • 自動駕駛汽車
    • 能源管理
    • 精準農業
    • 遠端監控和預測性維護
    • 智慧型穿戴裝置
    • 遙測
    • 視訊監控

第 10 章：2022-2032 年全球邊緣人工智慧市場規模及地區預測

  • 北美邊緣人工智慧市場
    • 美國邊緣人工智慧市場
      • 2022-2032 年型別細分規模與預測
      • 2022-2032 年材料類型細分尺寸與預測
      • 2022-2032 年流量細分規模與預測
      • 2022-2032 年應用細分規模與預測
    • 加拿大邊緣人工智慧市場
  • 歐洲邊緣人工智慧市場
    • 德國邊緣人工智慧市場
    • 英國邊緣人工智慧市場
    • 法國邊緣人工智慧市場
    • 義大利邊緣人工智慧市場
    • 西班牙邊緣人工智慧市場
    • 歐洲其他地區的邊緣人工智慧市場
  • 亞太邊緣人工智慧市場
    • 中國邊緣人工智慧市場
    • 日本邊緣人工智慧市場
    • 印度邊緣人工智慧市場
    • 韓國邊緣人工智慧市場
    • 澳洲邊緣人工智慧市場
    • 亞太地區其他邊緣人工智慧市場
  • 拉丁美洲邊緣人工智慧市場
    • 巴西邊緣人工智慧市場
    • 墨西哥邊緣人工智慧市場
    • 拉丁美洲其他地區的邊緣人工智慧市場
  • 中東和非洲邊緣人工智慧市場
    • 沙烏地阿拉伯邊緣人工智慧市場
    • 南非邊緣人工智慧市場
    • LAMEA 邊緣人工智慧市場的其餘部分

第 11 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Intel Corporation
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Google LLC by Alphabet Inc.
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Hewlett Packard Enterprise Company
    • Lenovo Group Ltd.
    • International Business Machines Corporation
    • NVIDIA Corporation
    • Qualcomm Technologies, Inc.
    • Synaptics Incorporated
    • Adlink Technology, Inc.
    • BrainChip Holdings Ltd.
    • Nutanix, Inc.
    • Cloudera, Inc.
    • EdgeConneX

第 12 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

The Global Edge Artificial Intelligence Market is valued approximately at USD 1.06 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 24.80% over the forecast period 2024-2032. Edge artificial intelligence (AI) refers to a system where AI algorithms are processed locally on hardware devices, enabling real-time data processing and decision-making without reliance on the cloud. This decentralized approach, achieved through integrating advanced AI and machine learning capabilities directly into edge devices like smartphones, IoT devices, and autonomous vehicles, is gaining traction across various industries. The surge in demand for low-latency processing and real-time decision-making capabilities is driving the development and adoption of edge AI technology.

The proliferation of IoT devices and the need to process vast amounts of data at the source without overloading network bandwidth further fuel the demand for edge AI solutions. However, challenges such as data security and privacy concerns, coupled with the complexity of deploying and maintaining AI models on edge devices, could impede market growth. Nonetheless, significant opportunities exist in the healthcare, automotive, and manufacturing sectors, driven by advancements in semiconductor technologies and increased investments in AI research, leading to more powerful and efficient edge AI solutions. ASICs are preferred for their high efficiency and optimization for specific AI algorithms, making them ideal for high-volume, embedded devices requiring real-time processing. CPUs, as general-purpose processors, offer flexibility and are suitable for applications needing complex decision-making capabilities. GPUs excel in parallel processing tasks, beneficial for deep learning, video analytics, and AI model training, enhancing their use in edge AI applications. However, data security and privacy concerns and complexity of ai model deployment would stifle the market growth during the forecast period 2024-2032.

Edge AI enables real-time processing of biometric, mobile, sensor, speech, and video data, significantly reducing latency and enhancing privacy. The automotive industry utilizes edge AI for autonomous driving, predictive maintenance, and enhancing user experiences. Energy and utilities employ edge AI for grid operations and infrastructure maintenance. In the government and public sector, edge AI is pivotal for smart city initiatives, public safety, and transportation systems. Healthcare benefits from edge AI through patient monitoring, medical imaging analysis, and hospital logistics. Manufacturing leverages edge AI for quality control, predictive maintenance, and supply chain optimization, while telecom operators use it for network optimization and predictive analytics.

The key regions considered for the Global Edge Artificial Intelligence Market study include Asia Pacific, North America, Europe, Latin America, and the Middle East and Africa. Regionally, the North America is dominating the market share in edge AI adoption due to technological innovation and the prevalence of IoT devices. EMEA's growth is driven by strict privacy regulations and smart city initiatives, particularly in Europe and the Middle East. APAC is expected to witness the fastest growth rate, propelled by government support, technological advancements, and a large manufacturing base incorporating edge AI for real-time process optimization.

Major market players included in this report are:

  • Intel Corporation
  • Google LLC by Alphabet Inc.
  • Microsoft Corporation
  • Amazon Web Services Inc.
  • Hewlett Packard Enterprise Company
  • Lenovo Group Ltd.
  • International Business Machines Corporation
  • NVIDIA Corporation
  • Qualcomm Technologies, Inc.
  • Synaptics Incorporated
  • Adlink Technology, Inc.
  • BrainChip Holdings Ltd.
  • Nutanix, Inc.
  • Cloudera, Inc.
  • EdgeConneX

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

By Processor:

  • ASIC
  • CPU
  • GPU

By Component:

  • Services
  • Solution

By Source:

  • Biometric Data
  • Mobile Data
  • Sensor Data
  • Speech Recognition
  • Video & Image Recognition

By End-Use:

  • Automotive
  • Energy and Utilities
  • Government & Public Sector
  • Healthcare
  • Manufacturing
  • Telecom

By Application:

  • Access Management
  • Autonomous Vehicles
  • Energy Management
  • Precision Agriculture
  • Remote Monitoring & Predictive Maintenance
  • Smart Wearables
  • Telemetry
  • Video Surveillance

By Region:

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

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 Edge Artificial Intelligence Market Executive Summary

  • 1.1. Global Edge Artificial Intelligence Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Processor
    • 1.3.2. By Component
    • 1.3.3. By Source
    • 1.3.4. By End-Use
    • 1.3.5. By Application
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Edge Artificial Intelligence 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 Edge Artificial Intelligence Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increased Demand for Low-Latency Processing
    • 3.1.2. Proliferation of IoT Devices
    • 3.1.3. Real-Time Decision-Making Capabilities
  • 3.2. Market Challenges
    • 3.2.1. Data Security and Privacy Concerns
    • 3.2.2. Complexity of AI Model Deployment
  • 3.3. Market Opportunities
    • 3.3.1. Intelligent Applications in Healthcare, Automotive, and Manufacturing
    • 3.3.2. Advancements in Semiconductor Technologies
    • 3.3.3. Increased Investments in AI Research

Chapter 4. Global Edge Artificial Intelligence 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 Edge Artificial Intelligence Market Size & Forecasts by Processor 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Edge Artificial Intelligence Market: Processor Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. ASIC
    • 5.2.2. CPU
    • 5.2.3. GPU

Chapter 6. Global Edge Artificial Intelligence Market Size & Forecasts by Component 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Edge Artificial Intelligence Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Services
      • 6.2.1.1. Support & Maintenance
      • 6.2.1.2. System Integration & Testing
      • 6.2.1.3. Training & Consulting
    • 6.2.2. Solution
      • 6.2.2.1. Platform
      • 6.2.2.2. Software Tools

Chapter 7. Global Edge Artificial Intelligence Market Size & Forecasts by Source 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Edge Artificial Intelligence Market: Source Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Biometric Data
    • 7.2.2. Mobile Data
    • 7.2.3. Sensor Data
    • 7.2.4. Speech Recognition
    • 7.2.5. Video & Image Recognition

Chapter 8. Global Edge Artificial Intelligence Market Size & Forecasts by End-Use 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Edge Artificial Intelligence Market: End-Use Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. Automotive
    • 8.2.2. Energy and Utilities
    • 8.2.3. Government & Public Sector
    • 8.2.4. Healthcare
    • 8.2.5. Manufacturing
    • 8.2.6. Telecom

Chapter 9. Global Edge Artificial Intelligence Market Size & Forecasts by Application 2022-2032

  • 9.1. Segment Dashboard
  • 9.2. Global Edge Artificial Intelligence Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 9.2.1. Access Management
    • 9.2.2. Autonomous Vehicles
    • 9.2.3. Energy Management
    • 9.2.4. Precision Agriculture
    • 9.2.5. Remote Monitoring & Predictive Maintenance
    • 9.2.6. Smart Wearables
    • 9.2.7. Telemetry
    • 9.2.8. Video Surveillance

Chapter 10. Global Edge Artificial Intelligence Market Size & Forecasts by Region 2022-2032

  • 10.1. North America Edge Artificial Intelligence Market
    • 10.1.1. U.S. Edge Artificial Intelligence Market
      • 10.1.1.1. Type breakdown size & forecasts, 2022-2032
      • 10.1.1.2. Material Type breakdown size & forecasts, 2022-2032
      • 10.1.1.3. Flow Rate breakdown size & forecasts, 2022-2032
      • 10.1.1.4. Application breakdown size & forecasts, 2022-2032
    • 10.1.2. Canada Edge Artificial Intelligence Market
  • 10.2. Europe Edge Artificial Intelligence Market
    • 10.2.1. Germany Edge Artificial Intelligence Market
    • 10.2.2. U.K. Edge Artificial Intelligence Market
    • 10.2.3. France Edge Artificial Intelligence Market
    • 10.2.4. Italy Edge Artificial Intelligence Market
    • 10.2.5. Spain Edge Artificial Intelligence Market
    • 10.2.6. Rest of Europe Edge Artificial Intelligence Market
  • 10.3. Asia-Pacific Edge Artificial Intelligence Market
    • 10.3.1. China Edge Artificial Intelligence Market
    • 10.3.2. Japan Edge Artificial Intelligence Market
    • 10.3.3. India Edge Artificial Intelligence Market
    • 10.3.4. South Korea Edge Artificial Intelligence Market
    • 10.3.5. Australia Edge Artificial Intelligence Market
    • 10.3.6. Rest of Asia-Pacific Edge Artificial Intelligence Market
  • 10.4. Latin America Edge Artificial Intelligence Market
    • 10.4.1. Brazil Edge Artificial Intelligence Market
    • 10.4.2 Mexico Edge Artificial Intelligence Market
    • 10.4.3 Rest of Latin America Edge Artificial Intelligence Market
  • 10.5 Middle East and Africa Edge Artificial Intelligence Market
    • 10.5.1. Saudi Arabia Edge Artificial Intelligence Market
    • 10.5.2. South Africa Edge Artificial Intelligence Market
    • 10.5.3. Rest of LAMEA Edge Artificial Intelligence Market

Chapter 11. Competitive Intelligence

  • 11.1. Key Company SWOT Analysis
  • 11.2. Top Market Strategies
  • 11.3. Company Profiles
    • 11.3.1. Intel Corporation
      • 11.3.1.1. Key Information
      • 11.3.1.2. Overview
      • 11.3.1.3. Financial (Subject to Data Availability)
      • 11.3.1.4. Product Summary
      • 11.3.1.5. Market Strategies
    • 11.3.2. Google LLC by Alphabet Inc.
    • 11.3.3. Microsoft Corporation
    • 11.3.4. Amazon Web Services Inc.
    • 11.3.5. Hewlett Packard Enterprise Company
    • 11.3.6. Lenovo Group Ltd.
    • 11.3.7. International Business Machines Corporation
    • 11.3.8. NVIDIA Corporation
    • 11.3.9. Qualcomm Technologies, Inc.
    • 11.3.10. Synaptics Incorporated
    • 11.3.11. Adlink Technology, Inc.
    • 11.3.12. BrainChip Holdings Ltd.
    • 11.3.13. Nutanix, Inc.
    • 11.3.14. Cloudera, Inc.
    • 11.3.15. EdgeConneX

Chapter 12. Research Process

  • 12.1. Research Process
    • 12.1.1. Data Mining
    • 12.1.2. Analysis
    • 12.1.3. Market Estimation
    • 12.1.4. Validation
    • 12.1.5. Publishing
  • 12.2. Research Attributes