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자동차 산업용 엣지 컴퓨팅 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년)

Edge Computing in Automotive Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

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자동차 산업용 엣지 컴퓨팅 시장 : 성장, 동향, COVID-19의 영향, 예측(2021-2026년) Edge Computing in Automotive Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)
발행일 : 2022년 01월 페이지 정보 : 영문

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

자동차 산업용 엣지 컴퓨팅 시장 규모는 2021-2026년의 예측 기간 중 27.5%의 CAGR로 성장할 것으로 예상되고 있습니다. 자율주행차와 커넥티드카 인프라의 진화 및 엣지 컴퓨팅 솔루션의 효율을 높이기 위한 경량 프레임워크와 시스템의 요건은 벤더에게 풍부한 기회를 생성할 것으로 기대되고 있습니다. 현재 이용 가능한 대부분의 커넥티드카는 접속을 위해 셀룰러 네트워크를 활용하고 있습니다. 모바일 네트워크를 통해 생성되는 대량의 스트리밍 데이터는 비용과 대역폭 양측에 제한이 있습니다. 차량은 이미 많은 센서를 사용하고 있으나(후진시 전진하는 물체를 사용자에게 통지하는 시스템 등), 커넥티드카에는 한층 더 많은 센서가 필요하게 됩니다.

  • 커넥티드카가 기대하는 가치를 제공하기 위해서는 이 데이터를 실시간으로 작성할 수 있는 디바이스가 필요합니다. 엣지 컴퓨팅은 데이터가 생성되는 사물인터넷(IoT) 디바이스로부터의 데이터를 처리하는 방법입니다. 엣지를 사용하면 수집되는 데이터는 소스에서 직접 테스트됩니다.
  • 커넥티드 자율주행 커버에서 엣지 컴퓨팅의 이점의 일부 : 커넥티드카는 운전중 차량내에서 직접 작성되는 데이터를 준비하고 있으므로 일원화된 데이터 처리 웨어하우스의 요건이 없어집니다. 정보가 소스에서 작성되고 있으므로 지연이 없고 실시간 분석을 촉진합니다. 차량은 인터넷 대역폭을 동시에 줄이면서 퍼포먼스를 발휘할 수 있습니다.

세계의 자동차 산업용 엣지 컴퓨팅 시장을 조사했으며, 시장의 개요, 시장 성장요인 및 저해요인 분석, 시장 기회, 애플리케이션별·지역별 시장 규모의 추이와 예측, 경쟁 구도, 주요 기업의 개요 등의 정보를 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

재3장 주요 요약

제4장 시장 역학

  • 시장 개요
  • 시장 촉진요인과 제약의 서론
  • 시장 촉진요인
    • IOT의 채택 증가
    • 지수함수적으로 증가하는 데이터량과 네트워크 트래픽
  • 시장 억제요인
    • 인프라의 초기 자본지출
    • 프라이버시와 보안의 우려
  • 밸류체인/공급망 분석
  • Porter's Five Forces 분석

제5장 시장 세분화

  • 애플리케이션별
    • 커넥티드카
    • 트래픽 관리
    • 스마트 시티
    • 운송과 물류
    • 기타
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 기타 지역

제6장 경쟁 구도

  • 기업 개요
    • Altran Inc
    • Belden Inc.
    • Digi International Inc.
    • Cisco Systems, Inc.
    • Amazon Web Services(AWS), Inc.
    • General Electric Company
    • Hewlett Packard Enterprise Development LP
    • Huawei Technologies Co., ltd.
    • Litmus Automation
    • Azion Technologies Ltd.

제7장 투자 분석

제8장 시장 기회 및 향후 전망

KSA 21.03.08

The Edge Computing in Automotive Market is expected to grow at a CAGR of 27.5% over the forecast period (2021-2026). The evolution of autonomous vehicles and connected car infrastructure and the requirement for lightweight frameworks and systems to heighten the efficiency of edge computing solutions are anticipated to generate abundant opportunities for edge computing vendors. Most connected cars available presently leverage cellular networks for connectivity. Mass streaming data that is produced over mobile networks is both cost and bandwidth restrictive. While vehicles already use a number of sensors (like systems that inform the user of an advancing object when reversing), connected cars will need a lot more.

Key Highlights

  • For connected cars to give the value they are expected to, there requires to be 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.
  • Some of the advantages of edge computing in connected automated driving cover: eradicating the requirement for a centralized data-processing warehouse since the connected cars are preparing the data that is being created directly in the vehicle while it is driving, promoting real-time analytics without the delay since the information is being created at the source, allowing the vehicle to perform while concurrently decreasing internet bandwidth.

Key Market Trends

Connected Cars Dominate the Edge Computing in Automotive Market

  • Without arbitrating personal information, Edge Computing technology allows transportation agencies to locate vehicle data related to speed, location, and trajectory - allowing better management of traffic flow as the capability to discuss specific problems in real-time. So, in addition to transferring information to the driver, connected cars will communicate information to transportation agencies to intensify their knowledge of real-time road conditions, as well as create historical data that will assist agencies better plan and allocate prospective resources (which are typically stretched far too thin).
  • Driver assistance methods like Electronic Stability Program (ESP) or the automatic emergency braking, which are available in several vehicles already now, will be connected in the prospect. Thus, the advantages of these systems will grow even further. For instance, Bosch has seen into this future and examined what connected cars will be able to achieve using technologies that by then will be extensive: wrong-way driver warning, extremely automated driving, and smartphone integration.
  • Also, as early as 2018, the PSA Group marketed vehicles provided with "driver-controlled" automated driving functions to help drivers in monotonous traffic jams on expressways (with Traffic Jam Assist) and parking plans. Delegated driving enhances safety in driving conditions, especially sensitive to driver inattention, and hence stops the bulk of accidents linked to human error.

North America Occupies the Largest Market Share

  • North America 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 is contributing to the continued transition toward technology. The development of innovative concepts, such as autonomous cars, within the region is also expected to propel the regional market growth in the years to come.
  • Also, the region is expected to account for the largest market size during the forecast period, owing to the presence of large number of edge computing vendors and increasing technology adoption among North American enterprises for leveraging new technologies, such as 5G.

Competitive Landscape

The edge computing in the automotive market is moderately competitive and consists of several major players. In terms of market share, few of the major players currently dominate the market, which continues to hold a considerable share in the overall market, especially across developed economies in regions such as North America and Europe. In developing economies such as Japan and China, the market is largely unorganized, featuring the dominance of regional or local vendors. Realizing the vast growth opportunities, international players are slowly entering these unorganized markets through mergers, acquisitions, and establishing supply networks.

  • June 2019 - Capgemini and Altran Technologies, announced that they have entered into an agreement for exclusive negotiations whereby Capgemini is to acquire Altran, through a friendly takeover bid at EUR14.00 per Altran share, payable in cash. The total cash consideration will amount to EUR 3.6 billion, excluding net financial debt EUR1.4 billion.
  • Dec 2019 - Digi International, announced the expansion of its successful ConnectCore family of products with the introduction of the Digi ConnectCore 8M Nano System on Module (SOM). This highly integrated, cost-effective SOM platform features pre-certified wireless connectivity, an integrated device security framework, remote management, cloud integration and a complete Linux software platform based on Yocto Project.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Introduction to Market Drivers and Restraints
  • 4.3 Market Drivers
    • 4.3.1 Rising Adoption of IOT
    • 4.3.2 Exponentially Growing Data Volumes And Network Traffic
  • 4.4 Market Restraints
    • 4.4.1 Initial Capital Expenditure For Infrastructure
    • 4.4.2 Privacy and Security Concerns
  • 4.5 Value Chain / Supply Chain Analysis
  • 4.6 Industry Attractiveness - Porter's Five Force Analysis
    • 4.6.1 Threat of New Entrants
    • 4.6.2 Bargaining Power of Buyers/Consumers
    • 4.6.3 Bargaining Power of Suppliers
    • 4.6.4 Threat of Substitute Products
    • 4.6.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Connected Cars
    • 5.1.2 Traffic Management
    • 5.1.3 Smart Cities
    • 5.1.4 Transportation & Logistics
    • 5.1.5 Other Applications
  • 5.2 Geography
    • 5.2.1 North America
    • 5.2.2 Europe
    • 5.2.3 Asia Pacific
    • 5.2.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Altran Inc
    • 6.1.2 Belden Inc.
    • 6.1.3 Digi International Inc.
    • 6.1.4 Cisco Systems, Inc.
    • 6.1.5 Amazon Web Services (AWS), Inc.
    • 6.1.6 General Electric Company
    • 6.1.7 Hewlett Packard Enterprise Development LP
    • 6.1.8 Huawei Technologies Co., ltd.
    • 6.1.9 Litmus Automation
    • 6.1.10 Azion Technologies Ltd.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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