汽車邊緣運算：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

Edge Computing In Automotive - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)

出版日期: 2025年01月05日 | 出版商:

Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計預測期內汽車邊緣運算市場將以 44.47% 的複合年成長率成長。

自動駕駛汽車和聯網汽車基礎設施的發展，以及對提高邊緣運算解決方案效率的輕量級框架和系統的需求，預計將為邊緣運算供應商創造豐富的商機。

主要亮點

汽車公司開始透過採用各種技術創新來追求新的性能和生產力水平，包括感測器和其他資料生成和收集設備以及分析工具。傳統上，資料管理和分析是在雲端或資料中心進行的。然而，隨著智慧製造、智慧城市等網路化技術和措施的不斷滲透，這種情況似乎正在改變。
為了使連網汽車實現預期的價值，它們需要能夠即時融合這些資料的設備。邊緣運算是處理物聯網 (IoT) 設備產生的資料的一種方式。在邊緣，收集的資料在源頭受到嚴格審查。
此外，以更快的速度處理配備各種感測器的工業機器人和連網汽車產生的越來越多的資料是一個問題，而5G應用將以其低延遲和高可靠性解決此類問題，從而輕鬆地將部分處理需求卸載到邊緣或雲端基礎的伺服器，從而最大限度地降低複雜性。
此外，由於缺乏「全球」邊界，以及由大量必須透過網路合作的個人控制的單一所有者生態系統，它變得更加脆弱。您的基礎設施的某些部分可能會遭受高度局部的攻擊，並產生局部的影響。

汽車邊緣運算的市場趨勢

物聯網的普及將推動汽車邊緣運算市場的成長

物聯網技術正在解決製造業的勞動力短缺問題。對越來越多的公司來說，機器人等工業4.0技術的使用已成為日常業務的一部分。
使用邊緣網路上的物聯網設備收集和傳輸資料的機器人可以比使用雲端基礎的設計的機器人更快地檢測異常並消除低效率。由於採用分散式設計，此類系統具有更強的容錯能力，並且還能確保更高水準的執行時間生產力。
物聯網在汽車行業的日益廣泛應用將主要受到 5G 營運的推動，得益於低延遲和網路切片功能。目前，相當一部分工業IoT服務供應商和聚合商都提供支援 5G 的網路選項，並且預計未來幾年將融入邊緣運算來處理大量資料。
邊緣運算的潛力正在改變工業製造。未來幾十年，邊緣運算應用將從根本上改變製造業，提高效率和產量，同時降低成本。這將與新一代智慧物聯網邊緣設備結合實現。預計這將對預測期內的市場成長產生積極影響。
此外，企業採用雲端運算主要是因為它的靈活性、擴充性和成本效益，這有助於提高所研究市場中車輛功能的複雜性。

北美佔有最大市場佔有率

北美佔據了最大的市場佔有率，由於該地區消費者和商業部門對物聯網設備的依賴，預計在整個預測期內仍將保持主導地位。隨著雲端運算的採用，該地區正經歷技術轉型的加速。此外，該地區自動駕駛汽車等創新概念的發展也有望在未來幾年推動該地區的市場成長。
此外，由於邊緣運算供應商數量眾多，且北美企業對該技術的接受度不斷提高，以利用 5G 等新技術，預計該地區將在預測期內佔據最大的市場。
2022 年 3 月，聯邦汽車安全監管機構批准開發和使用無人駕駛汽車，這種汽車沒有方向盤或踏板等手動控制裝置。
5G技術仍處於測試階段。但希望將來能結出碩果。例如在美國，AT&T和Verizon正在進行現場測試。其中一些公司得到了企業合作夥伴的支持，例如美國最大的行動電話站點營運商 Crown Castle 和邊緣運算專家 VaporIO 的投資者。

汽車產業邊緣運算概述

汽車邊緣運算市場競爭激烈，已有多家主要參與者進入市場。目前，少數大公司佔了大部分市場佔有率，以北美和歐洲為主的新興市場佔了很大佔有率。在日本和中國等新興市場，市場高度混亂，區域和本地賣家佔據主導地位。國際參與者逐漸意識到潛在商機的巨大潛力，並逐步建立供應網路，並透過併購進入這些非結構化市場。

2023 年 1 月，Belden 推出了單對乙太網路 (SPE) 連接產品組合，旨在最佳化惡劣環境下的乙太網路連接，包括工業和運輸業務。 SPE 產品組合包括用於潔淨區域連接的 IP20 級 PCB 插孔、插線和電線組，以及用於可靠現場設備工業乙太網連接的 IP65/IP67 級圓形 M8/M12插線、電線組和插座。

2022年11月，Belden Inc.宣布推出網路安全、強化和部署簡化解決方案，包括Hirschmann GDME重型閥門連接器和Belden HorizonTM邊緣編配平台。該平台管理著能夠安全存取遠端裝置的軟體，同時確保 OT 裝置和應用程式的安全且易於部署、連接和管理。

其他福利：

Excel 格式的市場預測 (ME) 表
3 個月的分析師支持

Key Highlights

Enterprises across automotive are beginning to drive new levels of performance and productivity by deploying different technological innovations, like sensors and other data-producing and collecting devices, along with analysis tools. Traditionally, data management and analysis are performed in the cloud or data centers. However, the scenario seems to be changing with the increasing penetration of network-related technologies and initiatives, such as smart manufacturing and smart cities.
For connected cars to give the value they are expected to, there is a device that can concoct this data in real time. Edge computing is the method of processing data from IoT (Internet of Things) devices where it is generated. With the edge, the data being gathered gets examined right at the source.
Moreover, processing increasing amounts of data at a faster pace, generated by industrial robots and connected cars equipped with various sensors, is problematic, and 5G applications are solving such issues with their low latency and high reliability, making it easier to offload part of this processing need to edge or cloud-based servers, thus, minimizing the complexity.
Additionally, the absence of a "global" border and an ecosystem with a single owner that is governed by numerous individuals who must cooperate through networks makes it even more vulnerable. A piece of the infrastructure may be under the control of highly localized attacks with localized impact.

Edge Computing In Automotive Market Trends

Rising Adoption of IOT to Witness the Growth Edge Computing in Automotive Market

IoT technologies are overcoming the labor shortage in the manufacturing sector. For more organizations, using Industry 4.0 technologies, like robotization, is part of day-to-day operations.
Robots collecting and transferring data using IoT devices on an edge network can detect anomalies and eliminate inefficiencies far faster than they could use a cloud-based design. Such a system is substantially more resilient due to its distributed design, which also ensures higher levels of uptime productivity.
The growing use of IoT in the automotive industry is accelerated by 5G operations, principally fueled by lower latency and network slicing capabilities. A sizable portion of industrial IoT service providers and aggregators currently offer 5 G-enabled network options, which are anticipated to incorporate edge computing over the next few years to handle the massive volume of data.
Due to the potential of edge computing, industrial manufacturing is transforming. In the upcoming decades, edge computing applications will radically alter manufacturing to increase efficiency and production while lowering costs. This would be accomplished by combining them with a new generation of intelligent IoT edge devices. Over the projected period, this is expected to have a favorable effect on the market's growth.
Furthermore, the adoption of the cloud in enterprises is primarily due to flexibility, scalability, and cost-effectiveness, which can help the advancement of vehicle capabilities in the studied market.

North America Occupies the Largest Market Share

North America has accounted for the largest market share and is projected to maintain dominance throughout the forecast years as the consumer and business sectors in the region rely on IoT devices. Higher cloud adoption in the region contributes to the continued transition toward technology. The development of innovative concepts, such as autonomous cars, within the area is also expected to propel regional market growth in the years to come.
Additionally, the region is anticipated to represent the largest market during the forecast period due to a significant number of edge computing suppliers and the growing acceptance of technology among North American businesses for utilizing new technologies, such as 5G.
In March 2022, Federal vehicle safety regulators gave the go-ahead for developing and using driverless cars without manual controls like steering wheels or pedals.
5G technology is still in the testing stage. However, it is hoped that it will be fruitful in the future. For example, AT&T and Verizon conduct field tests in the United States. Some are backed by corporate partners, such as Crown Castle, the largest US mobile phone website operator and an investor in his Vapor IO, an edge computing specialist.

Edge Computing In Automotive Industry Overview

Edge computing in the automotive market is moderately competitive and consists of several major players. Few major companies today hold a disproportionate amount of the market share, which continues to be significant in all developed nations, particularly in North America and Europe. The market is highly disorganized in developing nations like Japan and China, where regional or local sellers predominate. International players are gradually creating supply networks and entering these unstructured marketplaces through mergers and acquisitions as they become aware of the significant potential opportunities.

In January 2023, Belden introduced its Single Pair Ethernet (SPE) portfolio of connectivity products designed to optimize Ethernet connection possibilities in harsh environments, including industrial and transportation operations. The SPE portfolio includes IP20-rated PCB jack, patch cords, and cord sets for clean-area connections and IP65/IP67-rated circular M8/M12 patch cords, cord sets, and receptacles for reliable field device industrial ethernet connections.

In November 2022 - Belden Inc. announced the launch of solutions for network security, ruggedization, and simplified deployment, including the Hirschmann GDME Heavy-Duty Valve Connectors and the Belden HorizonTM edge orchestration platform. The platform manages software that allows secure access to remote equipment while sustaining secure and easy deployment, connection, and management of OT devices and applications.

Additional Benefits:

The market estimate (ME) sheet in Excel format
3 months of analyst support

1 INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

4.1 Market Overview
4.2 Value Chain / Supply Chain Analysis
4.3 Industry Attractiveness - Porter's Five Forces Analysis
- 4.3.1 Bargaining Power of Buyers/Consumers
- 4.3.2 Bargaining Power of Suppliers
- 4.3.3 Threat of New Entrants
- 4.3.4 Threat of Substitute Products
- 4.3.5 Intensity of Competitive Rivalry

5 MARKET DYNAMICS

5.1 Market Drivers
- 5.1.1 Rising Adoption of IOT
- 5.1.2 Exponentially Growing Data Volumes And Network Traffic
5.2 Market Restraints
- 5.2.1 Initial Capital Expenditure For Infrastructure
- 5.2.2 Privacy and Security Concerns

6 MARKET SEGMENTATION

6.1 By Application
- 6.1.1 Connected Cars
- 6.1.2 Traffic Management
- 6.1.3 Smart Cities
- 6.1.4 Transportation & Logistics
- 6.1.5 Other Applications
6.2 By Geography
- 6.2.1 North America
- 6.2.2 Europe
- 6.2.3 Asia
- 6.2.4 Latin America
- 6.2.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

7.1 Company Profiles
- 7.1.1 Altran Inc
- 7.1.2 Belden Inc.
- 7.1.3 Digi International Inc.
- 7.1.4 Cisco Systems, Inc.
- 7.1.5 Amazon Web Services (AWS), Inc.
- 7.1.6 General Electric Company
- 7.1.7 Hewlett Packard Enterprise Development LP
- 7.1.8 Huawei Technologies Co., Ltd.
- 7.1.9 Litmus Automation
- 7.1.10 Azion Technologies Ltd.