市場調查報告書
商品編碼
965512

汽車行業的大數據市場-增長,趨勢和預測(2020-2025)

Big Data Market in the Automotive Industry - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

出版日期: | 出版商: Mordor Intelligence Pvt Ltd | 英文 120 Pages | 商品交期: 2-3個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

在2020年至2025年的預測期內,全球汽車行業大數據市場規模預計將以14.4%的複合年增長率增長。汽車工業是各個方面的蓬勃發展的創新產業。活躍於市場的參與者需要提升自身才能比其他參與者更具競爭力。大數據和數據分析為在競爭中保持領先地位提供了機會。支撐SMAC的顛覆性技術(社交,移動,分析,雲)充分利用您的數據來推動新的業務場景。

  • 根據埃森哲(Accenture Plc)最近的一項調查,有79%的高管同意,不採用大數據的公司將失去競爭優勢,並且無法在市場中生存。另外,有83%的人正在追求大數據項目以獲得競爭優勢。
  • 在COVID-19大流行中,由於供應鏈中斷,汽車行業正面臨嚴重衰退。埃森哲最近進行的一項調查顯示,2020年2月的汽車銷量與1月份相比下降了80%以上。
  • AutoHome是面向中國汽車消費者的在線汽車市場,它使用大數據解決方案來分析COVID-19大流行期間客戶行為的變化。這種情況將在未來幾年推動市場增長。

本報告調查了汽車行業的大數據市場,分析了市場概況,市場增長因素和障礙,按應用和區域劃分的市場規模變化和預測,競爭狀況,主要公司的概況,市場機會等,提供全面的信息。

目錄

第1章簡介

第2章調查方法

第3章執行摘要

第4章市場洞察力

  • 市場概況
  • 波特的五力分析
  • 最有價值的數據的主要類別
    • 診斷
    • 位置
    • 用戶體驗
    • 有關高級駕駛輔助系統(ADAS)和車輛自動駕駛的其他數據

第5章市場動態

  • 市場驅動力
    • 各種利益相關者在使用車輛生成的數據方面加大了力度
    • 擴大聯網汽車的安裝基礎
  • 市場挑戰
    • 有關車輛數據保護的隱私問題和法規

第6章市場細分

  • 按應用
    • 產品開發,供應鍊和製造
    • OEM保修和售後/經銷商
    • 聯網汽車和先進的公路運輸系統
    • 銷售,市場營銷等
  • 按地區
    • 北美
    • 歐洲
    • 亞太地區
    • 其他地區

第7章競爭情況

  • 主要供應商資料*
    • N-iX LTD
    • Future Processing Sp.zoo
    • Reply SpA (Data Reply)
    • Phocas Ltd
    • iSoftStone
    • Mayato GmbH
    • Qburst Technologies Private Limited
    • Monixo
    • Traffilog Ltd.
    • Driver Design Studio Limited
    • Sight Machine Inc.
    • SAS Institute Inc.
    • IBM Corporation
    • SAP SE
    • Microsoft Corporation
    • Amazon Web Services Inc.
    • Teradata Corporation

第8章 投資分析

第9章 市場的將來

目錄
Product Code: 71403

The big data market in the automotive industry was valued at USD 3,607.47 million in 2020, and it is expected to reach USD 8,929.37 million by 2026, registering a CAGR of 16.81% during the period of 2021-2026. The automobile industry is being transformed by the adoption of technologies, applications, and services ranging from sensors to artificial intelligence to big data analysis; thus, the ecosystem is witnessing a steady influx of new players, resulting in the continuous evolution of the future car. Increasing efforts from various stakeholders in utilizing the vehicle generated data coupled with a growing installed base of connected cars drive the growth of the market.

Key Highlights

  • Big data analytics allows the automobile manufacturing industry to collect data from ERP systems to combine information from multiple functional units of the business and the supply chain members. With the emergence of industry IoT, a networked system, M2M communication, the automotive industry is positioning itself towards industry 4.0 ready. Sensors, RFIDs, barcode readers, robots are now standard on the industry's manufacturing floor. These devices have increased data generation points exponentially.
  • The broad adoption of big data analytics across numerous manufacturing sectors is expected to impact the market's growth significantly over the forecast period. Many key vendors in the automotive industry are collaborating with the technology provider, which would help them be straight ahead of the competition. For instance, in 2020, Otonomo signed a commercial agreement with Mitsubishi Motors on an initiative to provide Mitsubishi Motors' connected car customers with exciting new services while adhering to international data privacy regulations.
  • Furthermore, big data analytics have helped automobile manufacturers boost their efficiency in terms of sales and marketing. It has also improved its operations by aiding in the incorporation of utilities like predictive maintenance and service schedule. It has also aided automotive vendors in streamlining the procurement process, making it more cost-efficient by analyzing the data for demand prediction.
  • With global sales of cars embedded with telematics reaching 28.5 million units in 2019 (according to Bloomberg New Energy Finance; MarkLines), it is no surprise that auto manufacturers are rapidly adopting connected car technology and embedding it within their vehicles. For instance, GM recently announced that it would be selling 4G data packages for connected vehicles that are powered by the AT&T network, including monthly subscriptions, one-time top-ups, daily passes, and even the ability to connect the car to a shared data plan with other devices. With the advent of ADAS systems, the vehicle's data is expected to increase exponentially over the forecast period.
  • Big data is increasingly playing a vital role in handling the effects of pandemic across industries. Various enterprises are increasingly investing in enhancing their decision-making process more data-driven. The uncertainties induced by COVID-19 have created great havoc across different industries.
  • Some of the companies are using big data solutions to understand the current requirements of the customer. For instance, AutoHome, an online car marketplace for Chinese automotive consumers, has utilized big data solutions to analyze changing customer behavior during the COVID-19 to understand their requirements in a better way. Also, it created smart showrooms and virtual stores to offer major functions of online car purchasing. This type of significant use case will drive market growth in the coming years.

Key Market Trends

Product Development, Supply Chain and Manufacturing Segment Holds for a Major Share Throughout the Forecast period

  • In the current technology-driven business environment, Big Data stands as one of the primary drivers of productivity and efficiency for manufacturers. With the high rate of adoption of sensors and connected devices and the enabling of M2M communication, there has been a massive increase in the automotive industry's data points.
  • Data analytics is at a nascent stage in the automotive business. While data analytics has been a component of the mainstream in the manufacturing, marketing, and supply chain sectors of the automotive industry, data generation, and analysis from the product have seen the smallest effort. Nevertheless, with the Internet of Things and computing becoming successful, less costly avenues for gathering data are beginning to appear in the industry.
  • Connected vehicles have the potential to bring about a massive change in user experience. According to The Associated Press, the global automotive industry is projected to deliver some 76.3 million connected cars by 2023. Being provided with hardware and software allows them to connect to the cloud, creating data to obtain actionable insight. Data from sensors on the vehicle can change how automotive firms monitor performance and maintain product quality and safety. Access to real-time, on-road data assists in accelerated product development.
  • General Motors, the largest American automobile manufacturing company, has been the pioneer of Big Data and analytics in the automotive industry. Cars with sensors and processors are commonplace these days. General Motors has sensors and telematics within the car as its center of interest, as it saves them a lot of revenue and makes their cars more secure and reliable. For instance, according to DataFlair, telematics is like a goldmine as it provides them massive savings of up to USD 800 per car.

Asia-pacific Segment is Expected to Grow at a Significant Rate Over the Forecast Period

  • Asia-Pacific has the largest population of all the regions. With an increase in the urban population and increased purchasing power, Asia-Pacific is one of the largest automotive industry markets.
  • China has been dominating the market in terms of the highest number of car users across the world. According to the Chinese Association of Automotive Manufacturers, Chinese automotive companies sold over 25.76 million vehicles in 2019.
  • The demand for connected cars is propelling the market for big data in the automotive industry in Asia-Pacific. Despite an overall slowdown in China, where auto sales fell for 14 straight months to the end of August 2019, Audi managed an 11% sales increase last year to 660,000 cars, led by the demand for its popular sport utility vehicles. The German carmaker also managed a 2% gain in the first eight months of 2019.
  • Increasing adoption, accuracy, and the reducing prices of sensors, cameras, and software are certain factors driving the increase in the adoption of big data in the automotive industry in the region. For instance, in March 2020, the Chinese automaker, Changan, launched its UNI-T with facial recognition for driver monitoring and human-computer interaction. The UNI-T also features an L3 self-driving system, which the company plans to introduce once autonomous driving is fully established in China.

Competitive Landscape

The big data market in the automotive industry is moderately competitive and consists of a significant number of global and regional players. These players account for a considerable share in the market and focus on expanding their customer base. These vendors focus on the research and development activities, strategic partnerships, and other organic & inorganic growth strategies to earn a competitive edge over the forecast period.

  • October 2020 - DRVR launched a new BI Analytics dashboard for Fuel. The dashboard helps fleet owners get information about the suitable vehicle, least economical fleet, and others. There is a need for a GPS provider to use the dashboard, which offers fuel data ideally via CanBus, but this can also be analog data or through a fuel sensor. GPS providers supported include Navixy, Ruptela, and Geotab.
  • October 2020 - Maruti Suzuki India Limited (MSIL) collaborated with Microsoft Research India to develop smartphone-based HAMS technology for testing applicants seeking a driving license. The HAMS technology has already been deployed at the Automated Driving Test Centre (ADTC), Dehradun, in association with Uttarakhand State Transport Department.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Industry Value Chain Analysis
  • 4.3 Porters Five Force Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers/Consumers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Impact of COVID-19 on the Market
  • 4.5 Market Drivers
    • 4.5.1 Increasing Efforts from Various Stakeholders in Utilizing the Vehicle Generated Data
    • 4.5.2 Growing Installed-base of Connected Cars
  • 4.6 Market Challenges
    • 4.6.1 Privacy Issues and Regulations On Vehicle Data Protection

5 MARKET SEGMENTATION

  • 5.1 Application
    • 5.1.1 Product Development, Supply Chain and Manufacturing
    • 5.1.2 OEM Warranty & Aftersales/Dealers
    • 5.1.3 Connected Vehicle & Intelligent Transportation
    • 5.1.4 Sales, Marketing and Others
  • 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 N-iX LTD
    • 6.1.2 Future Processing Sp.z.o.o.
    • 6.1.3 Reply SpA (Data Reply)
    • 6.1.4 Phocas Ltd
    • 6.1.5 iSoftStone
    • 6.1.6 Mayato GmbH
    • 6.1.7 Qburst Technologies Private Limited
    • 6.1.8 Monixo
    • 6.1.9 Traffilog Ltd
    • 6.1.10 Driver Design Studio Limited
    • 6.1.11 Sight Machine Inc.
    • 6.1.12 SAS Institute Inc.
    • 6.1.13 IBM Corporation
    • 6.1.14 SAP SE
    • 6.1.15 Microsoft Corporation

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS