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IoT 人工智能邊緣運算

市場調查報告書

商品編碼

1505158

邊緣人工智慧市場規模、佔有率和成長分析：按組件、按硬體、按軟體、按最終用途行業、按地區 - 行業預測，2024-2031 年

Edge Artificial Intelligence Market Size, Share, Growth Analysis, By Component(Hardware (Device )), By End Use Industry(Consumer Electronics Device, Smart Homes Device ), By Region - Industry Forecast 2024-2031

出版日期: 2024年06月20日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022年邊緣AI市場規模為156億美元，2031年將達到1,859.5億美元，高於2023年的205.5億美元，複合年成長率預計將成長31.7%。

「邊緣AI」是指在靠近資料來源的邊緣裝置（例如嵌入式系統、智慧型手機和物聯網（IoT）裝置）上實現人工智慧演算法。與傳統的雲端基礎的人工智慧不同，邊緣人工智慧在本地處理資料，不需要與集中伺服器進行持續的資料交換。這種方法有幾個好處，包括減少延遲、最小化頻寬、增強隱私性和提高營運效率。在更廣泛的人工智慧和物聯網領域，由於對分散式人工智慧應用、低延遲處理和節能運算的需求不斷成長，邊緣人工智慧產業正在經歷快速成長。由於幾個關鍵因素和機遇，邊緣人工智慧市場預計將大幅擴張。物聯網設備的激增、人工智慧和機器學習技術的進步以及對即時資料處理和分析的需求不斷增加是這一成長的關鍵驅動力。連接設備產生的資料呈指數級成長，需要高效的本地處理來減少延遲和頻寬消耗，尤其是在智慧城市基礎設施、醫療保健監控和自動駕駛車輛等即時應用中，這對於需要決策的應用極為重要。此外，5G技術的引進將提高連接性和資料傳輸速度，進一步提高邊緣人工智慧系統的可行性和效率。

市場概況
解決方案
- 類型
- 獨立的
- 融合的
- 部署
- 本地
- 雲
服務
- 專業服務
- 培訓和諮詢
- 系統整合和測試
- 支援與維護
- 管理服務
資料類型
- 視訊和圖像資料
- 物體偵測與識別
- 臉部辨識
- 視力檢查
- 其他視訊/影像資料應用
- 語音資料/語言資料
- 語音辨識
- 聲音異常偵測
- 語音助理
- 其他音訊資料應用
文字和語言資料
- 自然語言處理
- 情緒分析
- 聊天機器人和虛擬助理
- 其他文字/語言資料應用
環境/位置資料
- 地理空間分析
- 天氣預報
- 空氣品質監測
- 其他環境和位置資料應用
生物識別資料
- 指紋辨識
- 虹膜和視網膜掃描
- 生物識別
- 其他生物識別資料應用
多模態資料
- 感測器整合
- 整合文字和視覺資料
- 其他多模態資料應用

邊緣人工智慧市場：按最終用途行業

市場概況
消費性電子產品
- 智慧型手機
- 穿戴式的
- 娛樂機器人
智慧家庭設備
- 智慧音箱
- 智慧型相機
- 家庭機器人
汽車/運輸設備
- 汽車零件
- 監視錄影機
- 物流機器人
- 其他汽車及運輸設備
醫療保健設備
- 醫療機器人
- 穿戴式的
- 其他醫療保健設備
工業設備
- 工業機器人
- 無人機
- MV攝影機
航太和國防設備
- 服務機器人
- 其他航太和國防設備
建築設備
- 服務機器人
- 無人機
其他行業
- 按設備
  - 監視錄影機
  - 專業服務機器人
  - 穿戴式的
  - 其他設備
- 邊緣伺服器
- 無人機

邊緣人工智慧市場：按地區

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲 (MEA)
- 海灣合作理事會國家
- 南非
- 其他中東/非洲地區

競爭格局

前5名企業對比
主要企業市場定位（2023年）
主要市場參與者所採取的策略
近期市集活動
主要企業市場佔有率（2023年）

主要企業簡介

Hewlett Packard Enterprise（HPE）（US）
Samsung Electronics Co., Ltd.（South Korea）
Siemens AG（Germany）
NEC Corporation（Japan）
Advanced Micro Devices, Inc.（AMD）（US）
Huawei Technologies Co., Ltd.（China）
NVIDIA Corporation（US）
Amazon Web Services（AWS）（US）
Baidu, Inc.（China）
Cisco Systems, Inc.（US）
Minima Ltd.（UK）
Accenture PLC（Ireland）
MediaTek Inc.（Taiwan）
Dell Technologies Inc.（US）
SAP SE（Germany）
Xilinx, Inc.（US）
Fujitsu Limited（Japan）
Intel Corporation（US）
Qualcomm Inc.（US）
Renesas Electronics Corporation（Japan）

簡介目錄

Product Code: SQMIG45A2309

Edge Artificial Intelligence (AI) Market size was valued at USD 15.60 Billion in 2022 and is projected to grow from USD 20.55 Billion in 2023 to reach USD 185.95 Billion by 2031, growing at a CAGR of 31.7% in the forecast period (2024-2031).

"Edge AI" refers to the implementation of artificial intelligence algorithms on edge devices such as embedded systems, smartphones, and Internet of Things (IoT) devices located near data sources. Unlike traditional cloud-based AI, Edge AI processes data locally, eliminating the need for continuous data transfer to and from a centralized server. This approach offers several advantages, including reduced latency, minimized bandwidth usage, enhanced privacy, and improved operational efficiency. Within the broader AI and IoT sectors, the Edge AI industry is witnessing rapid growth, driven by increasing demand for decentralized AI applications, low-latency processing, and energy-efficient computation. The Edge AI market is poised for significant expansion due to several key factors and opportunities. The proliferation of IoT devices, advancements in AI and machine learning technologies, and rising demand for real-time data processing and analysis are the primary drivers of this growth. The exponential increase in data generated by connected devices necessitates efficient local processing to mitigate latency and bandwidth consumption, particularly crucial for applications requiring real-time decision-making, such as smart city infrastructure, healthcare monitoring, and autonomous vehicles. Additionally, the deployment of 5G technology enhances connectivity and data transmission rates, further enhancing the viability and efficiency of Edge AI systems.

Top-down and bottom-up approaches were used to estimate and validate the size of the Edge Artificial Intelligence (AI) market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Edge Artificial Intelligence (AI) Market Segmental Analysis

The edge artificial intelligence (AI) market is segmented based on component, end use industry, and regional type. In terms of components, the market is segmented into Hardware (Device [Smartphone, Surveillance Cameras, Robots, Wearables, Edge Servers, Smart Speakers, Automobiles, Other Devices]). Power Consumption [Less Than 1W, 1-3W, 3-5W, 5-10W, More Than 10W], Processor [CPU, GPU, ASIC, Other]). (Function [Training, Inference]). Software (Offerings [Solutions {By type (Standalone, Integrated), {By Deployment (On-premises, Cloud)}, [Services {Professional Services (Training & consulting, System integration & testing, Support & maintenance}, Managed Services. (Data Type [Video and Image Data Object Detection & Recognition, Facial Recognition, Visual Inspection, Other Video & Image Data Applications], Audio Data Text & Language Data [Speech Recognition, Sound Anomaly Detection, Voice Assistants, Other Audio Data Applications], Text & Language Data [Natural Language Processing, Sentiment Analysis, Chatbots & Virtual Assistants, Other Text & Language Data Applications] Environmental & Location Data [Geospatial Analysis, Weather Prediction , Air Quality Monitoring , Other Environmental & Location Data Applications]Biometric Data [Fingerprint Recognition, Iris & Retina Scanning, Biometric Authentication, Other Biometric Data Applications], Multi-Modal Data [Integration Of Sensors, Integration Of Text & Visual Data, Other Multi-modal Data Applications], Edge Cloud Infrastructure, Services. In terms of end use industry, the market is segmented into Consumer Electronics (By Device [smartphones, wearables, entertainment robots, Smart Homes [By Device {smart speakers, smart cameras, domestic robots, Automotive & Transportation [By Device {automobile parts, surveillance cameras, logistics robots, other automotive & transportation devices], Government [By Device {surveillance cameras, drones}, Healthcare [By Device, {Medical Robots, Wearables, Other Healthcare Devices}, Industrial [By Device {Industrial robots, Drones, Mv Cameras}, Aerospace & Defense [By Device {Service Robots, Other Aerospace & Defense Devices}, Construction [By Device, Service Robots, Drones], Other Verticals [By Device,{Surveillance Cameras, Professional Service Robots, Wearables, Other Devices},[Edge Servers, Drones]. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

Drivers of the Edge Artificial Intelligence (AI) Market

Security vulnerabilities and the threat of malware infiltration pose significant obstacles to the seamless operation of Edge AI applications. Given the sensitivity of the data they manage and store, these apps are susceptible to various security risks. Despite being a relatively newer development, the lack of experience and comprehension across industries exacerbates these vulnerabilities. Moreover, edge computing relies heavily on standardized units and hardware, making the prototype construction labor-intensive and time-consuming to integrate into production. Additionally, substantial investments are required for training, personnel, and research and development efforts. Edge AI encounters challenges such as computing constraints, data privacy concerns, and security issues. The limited computational capacity of edge devices, compared to cloud servers, constrains the complexity and scale of AI models that can be deployed. Processing data locally on distributed edge devices raises significant apprehensions regarding data privacy and security, necessitating robust security measures to safeguard sensitive data.

Restraints in the Edge Artificial Intelligence (AI) Market

The significant expense associated with setting up and maintaining equipment poses challenges for the adoption of technologies such as Edge Artificial Intelligence (AI)s. Procuring Edge Artificial Intelligence (AI)s and the necessary tools incurs substantial costs, leading to overall increased expenses. Consequently, only companies and firms with high turnovers and strong competitiveness in the market can afford to integrate these Edge Artificial Intelligence (AI)s. This situation is expected to dampen the growth of the global Edge Artificial Intelligence (AI) market throughout the forecast period.

Market Trends of the Edge Artificial Intelligence (AI) Market

The escalating reliance on digital technologies, particularly Edge Artificial Intelligence (AI), within Industry 4.0 signifies a pivotal transformation in design and industrial production. Organizations are increasingly integrating advanced technologies like AI, Internet of Things (IoT), cloud computing, and automation to facilitate the creation of smart factories. This shift towards Industry 4.0 emphasizes the importance of Edge AI, which involves processing data closer to its source with minimal reliance on centralized areas like data centers or cloud premises. Edge AI plays a vital role in Industry 4.0 by addressing various needs such as reducing latency, facilitating instantaneous information processing to enhance real-time insights, and automating network activities. The Edge AI market is undergoing a revolutionary phase characterized by notable trends that significantly impact its growth and development. One such trend is the rising demand for rapid and efficient response through real-time analysis and decision-making across diverse organizational sectors. This trend places considerable pressure on technologies like Edge AI solutions, enabling swift reactions with minimal latency. Additionally, the convergence of cloud services and edge computing emerges as a significant trend offering enhanced scalability and resource utilization.

Introduction

Objectives of the Study
Definitions
Market Scope

Research Methodology

Information Procurement
Secondary & Primary Data Sources
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Market Overview Outlook
Supply Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Dynamics
- Drivers
- Opportunities
- Restraints
- Challenges
Porters Analysis
- Competitive rivalry
- Threat of Substitute Products
- Bargaining Power of Buyers
- Threat of New Entrants
- Bargaining Power of Suppliers

Key Market Insights

Technology Analysis
Pricing Analysis
Value Chain Analysis
Case Study Analysis
- Imagimob integrated motion intelligence into a fitness tracker to provide more detailed analysis of daily activities.
- Anagog's JedAI 4.0 supported banking institutions in monitoring and predicting changes in customers' lifestyles.
- Bytelake developed a starter kit for rapid creation and deployment of innovative computer vision systems in grocery retail stores.
Ecosystem of the Market
Trade Analysis
Supply chain Analysis
Value chain Analysis
Patent Analysis
Start-up Analysis
Customer & Buying Criteria Analysis
Regulatory Landscape
Innovation Matrix
Top Investment Analysis
Key Success Factor
Degree of Competition

Edge Artificial Intelligence Market by Component

Market Overview
Hardware
Software
Edge Cloud Infrastructure
Services

Edge Artificial Intelligence Market by Hardware

Market Overview
By Device
- Smartphones
- Surveillance Cameras
- Robots
- Wearables
- Edge Servers
- Smart Speakers
- Automobiles
- Other Devices
Power Consumption
- Less Than 1W
- 1-3W
- 3-5W
- 5-10W
- More Than 10W
Processor
- CPU
- GPU
- ASIC
- Other
Function
- Training
- Inference

Edge Artificial Intelligence Market by Software

Market Overview
Solutions
- Type
- Standalone
- Integrated
- Deployment
- On-premises
- Cloud
Services
- Professional Services
- Training & consulting
- System integration & testing
- Support & maintenance
- Managed Services
Data Type
- Video and Image Data
- Object Detection & Recognition
- Facial Recognition
- Visual Inspection
- Other Video & Image Data Applications
- Audio Data Text and Language Data
- Speech Recognition
- Sound Anomaly Detection
- Voice Assistants
- Other Audio Data Applications
Text & Language Data
- Natural Language Processing
- Sentiment Analysis
- Chatbots & Virtual Assistants
- Other Text & Language Data Applications
Environmental and Location Data
- Geospatial Analysis
- Weather Prediction
- Air Quality Monitoring
- Other Environmental & Location Data Applications
Biometric Data
- Fingerprint Recognition
- Iris & Retina Scanning
- Biometric Authentication
- Other Biometric Data Applications
Multi-Modal Data
- Integration Of Sensors
- Integration Of Text & Visual Data
- Other Multi-modal Data Applications

Edge Artificial Intelligence Market by End Use Industry

Market Overview
Consumer Electronics Device
- Smartphones
- Wearables
- Entertainment Robots
Smart Homes Devices
- Smart Speakers
- Smart Cameras
- Domestic Robots
Automotive & Transportation Devices
- Automobile Parts
- Surveillance Cameras
- Logistics Robots
- Other Automotive & Transportation Devices
Healthcare Devices
- Medical Robots
- Wearables
- Other Healthcare Devices
Industrial Devices
- Industrial robots
- Drones
- Mv Cameras
Aerospace & Defence Device
- Service Robots
- Other Aerospace & Defense Devices
Construction Devices
- Service Robots
- Drones
Other Verticals
- By Device
  - Surveillance Cameras
  - Professional Service Robots
  - Wearables
  - Other Devices
- Edge Servers
- Drones

Edge Artificial Intelligence Market Size by Region

Market Overview
North America
- USA
- Canada
Europe
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Rest of Latin America
Middle East & Africa (MEA)
- GCC Countries
- South Africa
- Rest of MEA

Competitive Landscape

Top 5 Player Comparison
Market Positioning of Key Players, 2023
Strategies Adopted by Key Market Players
Recent Activities in the Market
Key Companies Market Share (%), 2023

Key Company Profiles

Hewlett Packard Enterprise (HPE) (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Samsung Electronics Co., Ltd. (South Korea)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Siemens AG (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NEC Corporation (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Advanced Micro Devices, Inc. (AMD) (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Huawei Technologies Co., Ltd. (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
NVIDIA Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Web Services (AWS) (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baidu, Inc. (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Cisco Systems, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Minima Ltd. (UK)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Accenture PLC (Ireland)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
MediaTek Inc. (Taiwan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Dell Technologies Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP SE (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Xilinx, Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Fujitsu Limited (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Intel Corporation (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Qualcomm Inc. (US)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Renesas Electronics Corporation (Japan)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments