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IoT 人工智能邊緣運算

市場調查報告書

商品編碼

1574142

全球邊緣人工智慧市場－2024年至2029年預測

Global Edge AI Market - Forecasts from 2024 to 2029

出版日期: 2024年09月27日 | 出版商:

Knowledge Sourcing Intelligence | 英文 120 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

全球邊緣人工智慧市場預計複合年成長率為20.54%，市場規模從2024年的235.71億美元增加到2029年的599.78億美元。

邊緣AI是邊緣運算與人工智慧（AI）技術結合而產生的。借助該解決方案，多種具有邊緣運算能力的人工智慧演算法可以在設備上本地運行，以實現關鍵應用。此解決方案允許本地設備在沒有網路連線的情況下即時處理資料。汽車、製造、醫療保健、能源和公共事業、消費品、IT 和電信領域的公司正在利用這些小工具。邊緣人工智慧可實現高速資料處理，進而實現物聯網設備中的即時資訊處理。 Edge AI 不會將其儲存在雲端中，而是將在本地設備或附近的伺服器上應用 AI 所需的資料儲存起來。

多訪問邊緣運算架構在靠近最終用戶和裝置的網路邊緣提供網路、儲存和處理功能。在 MEC Edge AI使用案例中，虛擬設備（而不是真正的邊緣電腦）用於透過 5G 連接處理攝影機的視訊串流。例如，2023年2月，歐洲都柏林城市大學與歐洲無線通訊基礎設施供應商Cellnex Ireland合作開發了支援5G的智慧校園。作為此次合作的一部分，Cellnex 將在園區內安裝各種通訊基礎設施，以實現行動邊緣運算 (MEC) 功能並確保整個主園區的 5G 覆蓋範圍。

全球邊緣人工智慧市場促進因素：

醫療保健產業對邊緣人工智慧的需求不斷成長預計將推動市場成長

醫療保健產業正在見證人工智慧應用程式的使用迅速增加。應用包括電療、機器人輔助手術、影像分析、虛擬診斷等。這些設備允許醫生遠端諮詢患者並幫助醫療機構分析健康資料。此外，還採用基於邊緣的網路安全來保護個人醫療資訊。

主要市場公司正在努力組織和創造新的技術進步。此外，醫療保健產業可能會受益於該技術整合所提供的高效能和加速。例如，NVIDIA 於 2022 年 9 月擴大了邊緣 AI 技術在機器人和醫療保健領域的使用。 Nvidia IGX 平台旨在提高效能並獲得即時洞察，以用於工業和醫療使用案例。

全球邊緣人工智慧市場地理展望

北美在預測期內將經歷指數級成長

北美市場的快速擴張得益於該地區企業採用人工智慧和機器學習等先進技術。此外，人工智慧技術已受到美國政府的全國重視並作為首要目標。例如，2024年3月，AI解決方案供應商宜鼎國際在美國NVIDIA GTC上展示了其在邊緣AI整合方面的專業知識。宜鼎國際專注於提供可跨產業使用的客製化人工智慧解決方案，積極在全球共用其研究成果和現實世界的邊緣人工智慧實施。該公司透過展示其相機模組如何與 NVIDIA 專業的 AI 視覺技術無縫整合，重點介紹了整個行業的有用應用。

為什麼要購買這份報告？

富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

2022年至2029年歷史資料與預測
成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
競爭對手的市場狀況、策略與市場佔有率分析
包括國家在內的細分市場和地區的收益成長和預測評估
公司簡介（策略、產品、財務資訊、主要動態等）

全球邊緣AI市場細分分析如下：

按成分

服務
解決方案

按資料來源

行動資料
感測器資料
生物識別資料
音訊、影像、影像識別

按用途

視訊監控
存取管理
自動駕駛汽車
能源管理
其他

按地區

北美洲
美國
加拿大
墨西哥
南美洲
巴西
阿根廷
其他
歐洲
英國
德國
法國
西班牙
其他
中東/非洲
沙烏地阿拉伯
以色列
其他
亞太地區
日本
中國
印度
韓國
其他

介紹
北美洲
- 按成分
- 按發展
- 按用途
- 按國家/地區
南美洲
- 按成分
- 按發展
- 按用途
- 按國家/地區
歐洲
- 按成分
- 按發展
- 按用途
- 按國家/地區
中東/非洲
- 按成分
- 按發展
- 按用途
- 按國家/地區
亞太地區
- 按成分
- 按發展
- 按用途
- 按國家/地區

第9章競爭環境及分析

主要企業及策略分析
市場佔有率分析
合併、收購、協議和合作
競爭對手儀表板

第10章公司簡介

Microsoft Corporation
Alphabet Inc.
Amazon
IBM Corporation
Apple
Intel
Anagog Ltd.
Nutanix
Octonion SA.
Synaptics Incorporated

簡介目錄

Product Code: KSI061614137

The global edge AI market is expected to grow at a CAGR of 20.54%, reaching a market size of US$59.978 billion in 2029 from US$23.571 billion in 2024.

Edge computing and artificial intelligence (AI) technology are combined to create edge AI. With the help of this solution, several AI algorithms with edge computing capabilities can operate locally on devices for vital applications. Without internet access, this solution enables local devices to process data in real-time. Company sectors such as automotive, manufacturing, healthcare, energy and utility, consumer goods, IT, and telecom are making use of these gadgets. Edge AI enables fast data processing, leading to real-time information processing on the Internet of Things gadgets. Instead of being stored in the cloud, edge AI stores the data required to apply AI locally on the device or a nearby server.

Multi-Access Edge Computing architecture provides networking, storage, and processing capabilities at the edge of the network, near end users and end devices. Virtual devices, as opposed to actual edge computers, are utilized in MEC Edge AI use cases to process camera video streams over a 5G connection. For instance, in February 2023, Dublin City University in Europe and Cellnex Ireland, a European provider of wireless telecom infrastructure, worked together to develop a 5G-enabled smart campus. Cellnex installs a range of telecommunication infrastructure on the campuses as part of this partnership to enable Mobile Edge Computing (MEC) capabilities and guarantee 5G coverage throughout the main campus.

Global Edge AI Market Drivers:

Increasing demand for edge AI in the healthcare industry is anticipated to propel the market growth

The healthcare industry is seeing a sharp rise in the use of artificial intelligence applications because these technologies yield accurate results. Applications include electroceuticals, robotics-assisted surgery, image analysis, and virtual diagnostics. These instruments enable doctors to consult with patients remotely and assist healthcare organizations in analyzing health data. Additionally, edge-based cybersecurity is employed to protect private medical information.

The major market players are attempting to organize and create new technological advancements. Furthermore, the healthcare sector will benefit from the high performance and acceleration provided by the integration of this technology. For instance, Nvidia extended the use of its Edge Artificial Intelligence technology for robotics and healthcare in September 2022. The Nvidia IGX Platform aims to accelerate performance and extract real-time insights for use in both industrial and medical use cases.

Global Edge AI Market Geographical Outlook

North America is witnessing exponential growth during the forecast period

The rapid expansion of North American markets can be attributed to companies in the region adopting sophisticated technologies like artificial intelligence and machine learning. Moreover, AI technology is getting national attention from the U.S. government as its main goal. For example, in March 2024, the AI solutions provider Innodisk demonstrated its expertise in integrating edge AI at NVIDIA GTC in the United States. With a focus on delivering customizable AI solutions available to various industries, Innodisk actively shares its research and real-world edge AI implementations globally. The company highlights useful applications across industries by showcasing how its camera modules seamlessly integrate with NVIDIA's specialized AI visual technology.

Reasons for buying this report:-

Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

Historical data & forecasts from 2022 to 2029
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Global Edge AI market is segmented and analyzed as follows:

By Component

Services
Solutions

By Data Sources

Mobile Data
Sensor Data
Biometric Data
Speech, Video, and Image Recognition

By Application

Video Surveillance
Access Management
Autonomous Vehicles
Energy Management
Others

By Geography

North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
UK
Germany
France
Spain
Others
Middle East and Africa
Saudi Arabia
Israel
Others
Asia Pacific
Japan
China
India
South Korea
Others

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

2.1. Research Design
2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings
3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View

5. GLOBAL EDGE AI MARKET BY COMPONENT

5.1. Introduction
5.2. Services
5.3. Solutions

6. GLOBAL EDGE AI MARKET BY DATA SOURCES

6.1. Introduction
6.2. Mobile Data
6.3. Sensor Data
6.4. Biometric Data
6.5. Speech, Video, and Image Recognition

7. GLOBAL EDGE AI MARKET BY APPLICATION

7.1. Introduction
7.2. Video Surveillance
7.3. Access Management
7.4. Autonomous Vehicles
7.5. Energy Management
7.6. Others

8. GLOBAL EDGE AI MARKET BY GEOGRAPHY

8.1. Introduction
8.2. North America
- 8.2.1. By Component
- 8.2.2. By Deployment
- 8.2.3. By Application
- 8.2.4. By Country
  - 8.2.4.1. USA
  - 8.2.4.2. Canada
  - 8.2.4.3. Mexico
8.3. South America
- 8.3.1. By Component
- 8.3.2. By Deployment
- 8.3.3. By Application
- 8.3.4. By Country
  - 8.3.4.1. Brazil
  - 8.3.4.2. Argentina
  - 8.3.4.3. Others
8.4. Europe
- 8.4.1. By Component
- 8.4.2. By Deployment
- 8.4.3. By Application
- 8.4.4. By Country
  - 8.4.4.1. UK
  - 8.4.4.2. Germany
  - 8.4.4.3. France
  - 8.4.4.4. Spain
  - 8.4.4.5. Others
8.5. Middle East and Africa
- 8.5.1. By Component
- 8.5.2. By Deployment
- 8.5.3. By Application
- 8.5.4. By Country
  - 8.5.4.1. Saudi Arabia
  - 8.5.4.2. Israel
  - 8.5.4.3. Others
8.6. Asia Pacific
- 8.6.1. By Component
- 8.6.2. By Deployment
- 8.6.3. By Application
- 8.6.4. By Country
  - 8.6.4.1. Japan
  - 8.6.4.2. China
  - 8.6.4.3. India
  - 8.6.4.4. South Korea
  - 8.6.4.5. Others