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IoT 人工智能边缘运算

市场调查报告书

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1505158

边缘人工智慧市场规模、份额和成长分析：按组件、按硬体、按软体、按最终用途行业、按地区 - 行业预测，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个工作天内

价格

简介目录

2022年边缘AI市场规模为156亿美元，2031年将达到1,859.5亿美元，高于2023年的205.5亿美元，复合年增长率预计将成长31.7%。

「边缘AI」是指在靠近资料来源的边缘装置（例如嵌入式系统、智慧型手机和物联网（IoT）装置）上实现人工智慧演算法。与传统的云端基础的人工智慧不同，边缘人工智慧在本地处理资料，不需要与集中伺服器进行持续的资料交换。这种方法有几个好处，包括减少延迟、最小化频宽、增强隐私性和提高营运效率。在更广泛的人工智慧和物联网领域，由于对分散式人工智慧应用、低延迟处理和节能运算的需求不断增长，边缘人工智慧产业正在经历快速成长。由于几个关键因素和机会，边缘人工智慧市场预计将大幅扩张。物联网设备的激增、人工智慧和机器学习技术的进步以及对即时资料处理和分析的需求不断增加是这一增长的关键驱动力。连接设备产生的资料呈指数级增长，需要高效的本地处理来减少延迟和频宽消耗，尤其是在智慧城市基础设施、医疗保健监控和自动驾驶车辆等即时应用中，这对于需要决策的应用极为重要。此外，5G技术的引进将提高连接性和资料传输速度，进一步提高边缘人工智慧系统的可行性和效率。

市场概况
解决方案
- 类型
- 独立的
- 融合的
- 部署
- 本地
- 云
服务
- 专业服务
- 培训和咨询
- 系统整合和测试
- 支援与维护
- 管理服务
资料类型
- 视讯和图像资料
- 物体侦测与识别
- 脸部辨识
- 视力检查
- 其他视讯/影像资料应用
- 语音资料/语言资料
- 语音辨识
- 声音异常侦测
- 语音助理
- 其他音讯资料应用
文字和语言资料
- 自然语言处理
- 情绪分析
- 聊天机器人和虚拟助理
- 其他文字/语言资料应用
环境/位置资料
- 地理空间分析
- 天气预报
- 空气品质监测
- 其他环境和位置资料应用
生物识别资料
- 指纹辨识
- 虹膜和视网膜扫描
- 生物识别
- 其他生物识别资料应用
多模态资料
- 感测器集成
- 整合文字和视觉资料
- 其他多模态资料应用

边缘人工智慧市场：按最终用途行业

市场概况
消费性电子产品
- 智慧型手机
- 穿戴式的
- 娱乐机器人
智慧家庭设备
- 智慧音箱
- 智慧型相机
- 家庭机器人
汽车/运输设备
- 汽车零件
- 监视录影机
- 物流机器人
- 其他汽车及运输设备
医疗保健设备
- 医疗机器人
- 穿戴式的
- 其他医疗保健设备
工业设备
- 工业机器人
- 无人机
- MV摄影机
航太和国防设备
- 服务机器人
- 其他航太和国防设备
建筑设备
- 服务机器人
- 无人机
其他行业
- 按设备
  - 监视录影机
  - 专业服务机器人
  - 穿戴式的
  - 其他设备
- 边缘伺服器
- 无人机

边缘人工智慧市场：按地区

市场概况
北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲 (MEA)
- 海湾合作委员会国家
- 南非
- 其他中东/非洲地区

竞争格局

前5名企业对比
主要企业市场定位（2023年）
主要市场参与者所采取的策略
近期市集活动
主要企业市场占有率（2023年）

主要企业简介

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）

简介目录

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