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自動車産業のビッグデータ市場-成長、動向、および予測(2020-2025)

Big Data Market in the Automotive Industry - Growth, Trends, and Forecasts (2020 - 2025)

出版日: | 発行: Mordor Intelligence LLP | ページ情報: 英文 120 Pages | 納期: 2-3営業日

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自動車産業のビッグデータ市場-成長、動向、および予測(2020-2025)
出版日: 2020年08月01日
発行: Mordor Intelligence LLP
ページ情報: 英文 120 Pages
納期: 2-3営業日
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  • 概要
  • 目次
概要

世界の自動車産業のビッグデータの市場規模は、2020年から2025年の予測期間中に14.4%のCAGRで成長すると予想されています。自動車産業は、あらゆる面で革新のために繁栄している産業です。市場で活動しているプレーヤーは、他のプレーヤーよりも競争力を高めるために自分自身をアップグレードする必要があります。ビッグデータとデータ分析は、競合他社の一歩先を行く機会を提供します。 SMAC(ソーシャル、モバイル、分析、クラウド)を支える破壊的テクノロジーは、データを最大限に活用して、新しいビジネスシナリオを推進します。

  • Accenture Plcの最近の調査によると、経営幹部の79%が、ビッグデータを採用していない企業は競争力を失い、市場で生き残れないだろうことに同意しています。さらに、83%が、競争上の優位性を獲得するためにビッグデータプロジェクトを追求しています。
  • COVID-19のパンデミックによって、自動車業界はサプライチェーンの混乱により大幅な不況に直面しています。アクセンチュアが実施した最近の調査によると、2020年2月の自動車販売台数は1月と比較して80%以上減少しました。
  • 中国の自動車消費者向けのオンライン自動車市場であるAutoHomeは、ビッグデータソリューションを使用して、COVID-19パンデミック中の顧客の行動の変化を分析しています。このような事例は、今後数年間で市場の成長を促進します。

当レポートでは、自動車産業のビッグデータ市場を調査し、市場概要、市場の成長要因および阻害要因の分析、用途別・地域別の市場規模の推移と予測、競合情勢、主要企業のプロファイル、市場機会など、包括的な情報を提供しています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の洞察

  • 市場概要
  • ポーターのファイブフォース分析
  • 最も価値のあるデータの主なカテゴリ
    • 診断
    • ロケーション
    • ユーザー体験
    • 先進運転支援システム(ADAS)および車両の自律性に関するその他のデータ

第5章 市場力学

  • 市場の推進力
    • 車両で生成されたデータを利用する際のさまざまな利害関係者からの努力の増加
    • コネクテッドカーのインストールベースの拡大
  • 市場の課題
    • 車両データ保護に関するプライバシーの問題と規制

第6章 市場セグメンテーション

  • 用途別
    • 製品開発、サプライチェーンおよび製造
    • OEM保証およびアフターセールス/ディーラー
    • コネクテッドカーと高度道路交通システム
    • 販売、マーケティング、その他
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋
    • その他の地域

第7章 競合情勢

  • 主要ベンダープロファイル*
    • 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 市場の将来

目次
Product Code: 71403

The big data market in the automotive industry is expected to grow at 14.4% CAGR during the forecast period of 2020-2025. The automotive industry is the one that faces significant competition and thrives for innovations in every aspect. The players operating in the market need to upgrade themselves to have a competitive edge over others. Big data and data analytics provide them with the opportunity to be a step ahead of competitors. Moreover, most of the automotive manufacturers are primarily driven by increased competition and data explosion. Complexity and scalability of disparate data pose a challenge for the traditional analytics and database technologies. Real-time processing of big data, using the cloud as an enabler, has become the norm. Disruptive technologies that underpin SMAC (social, mobile, analytics, and cloud) drive new business scenarios, making the best use of data.

  • According to an Accenture Plc's recent study, 79% of business executives agree that companies that do not embrace big data will lose their competitive edge and face extinction. Furthermore, 83% have pursued big data projects to seize a competitive advantage.
  • For automotive manufacturers, actionable data represents an opportunity in terms of fast repair times, improved diagnostics, and easy service processes. A vendor can leverage knowledge gained from AI and machine learning to schedule preventive maintenance with condition-based, hyper-specific maintenance. As a result, maintenance and repairs can be prepared based on the fuel utilization of the specific vehicles.
  • In a recent study conducted with the Volvo Group, enhanced processes were achieved by integrating predictive maintenance strategies. In the beginning, Volvo Group had plenty of data collected from vibration, pressure, and temperature sensors, as well as voltage and flow meters. But a lot of data does not make a cohesive plan, so the organization required actionable insights. By integrating the sensor collected data with the IBM SPSS modeler, Volvo Group was able to recognize patterns from the past and get insights for the future.
  • Increasing government initiatives for smart manufacturing is also creating opportunities for the big data market in the automotive industry. For instance, As per the 13th Five-Year Plan of Smart Manufacturing, China aims to establish its intelligent manufacturing system and complete the key industries' transformation by 2025. As China's manufacturing sector becomes more enhanced, big data can also support increased customization and niche manufacturing.
  • At this time of the COVID-19 pandemic, the automotive sector is facing a significant downturn due to a disrupted supply chain. According to a recent study conducted by Accenture Plc, the car sales drop in February 2020 of more than 80% compared to January is a strong indicator of the direction the global automotive market is heading, and the impact is already visible. The forecasts for global light-vehicle sales in major regions predict that the market will observe a decrease by around 12% in 2020. Sales forecasts for the United States estimate a decline of 9% annually that customers are not buying new vehicles due to the pandemic.
  • AutoHome, an online car marketplace for Chinese automotive consumers, has been using big data solutions to analyze changes in customer behavior during the COVID-19 pandemic to understand their requirements better. Also, through the creation of smart showrooms and virtual stores, AutoHome provides 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 is Expected to Grow at a Significant Rate Over the Forecast Period

  • Big data allows the automotive manufacturing industry to collect data from the ERP systems to combine information from multiple functional units of the business and the supply chain members. With the emergence of industrial 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 in the industry's manufacturing floor. These devices have increased the data generation points exponentially.
  • For many developed countries like the UK, the implications with its automotive manufacturing base and significance as a major sales market for manufacturers are clear; connectedness to the clients and their cars can directly impact the supply chain. With more direct demand signs coming from the users, and the automobile themselves, agile market participants will increasingly be in a position to use big data to shape, build, and produce and become more proactive in managing customer expectations in the aftermarket.
  • Automotive manufacturer Daimler is digitally transforming its business, from vehicle design to core business systems, using the advanced data solutions through the cloud. In a recent project, Daimler replaced its procurement system, which is used to manage 400,000 global suppliers, with a data analytics solution running in Microsoft Azure. The new system, which involves the SAP Supplier Relationship Management on HANA, Icertis Contract Management platform, and the SAP S/4HANA database, was operational in just three months. The records can be updated daily to have a transparent view into the supply chain management, and costs incurred were 50% less than the previous system.

North America Geographic Segment is Expected to Hold a Significant Share Throughout the Forecast Period

  • The major driver for the North America geographic segment's growth is the significant presence of technology providers. These players focus on entering into partnerships, merger-acquisitions, and innovative solutions offerings to stay in the regional and globally competitive landscape.
  • FleetPride, North America's one of the significant distributors of trailer and truck parts in the heavy-duty aftermarket channel, is transforming its supply chain management with the help of IBM Decision Optimization solutions. The solution helps FleetPride to work out optimal warehouse locations, minimize delivery time across its distribution network. This results in reduced labor costs and higher ROI.
  • Car selling platforms are also using big data-based solutions to stay competitive in the global landscape. For example, New York-based online car selling platform Vroom ingests millions of data points from significant corners of the automotive industry every day. It uses the data to analyze market dynamics at scale. The company can also use the insights for making decisions on selling cars, or on vehicle acquisitions. Vroom has also used its collected data to create an automated pricing tool, with which it offers real-time insights to consumers on its app and website.

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.

  • In March 2020, GAC R&D center and ThunderSoft, a Chinese OS technology provider, announced the launch of an innovation center focusing on intelligent vehicle data and software technologies. GAC has its in-car smart ecosystem at the core, designed to build platforms of autonomous driving, cloud platforms, and big data. The newly built innovation center will boost the speed of data-driven automotive solution innovations in the future.
  • In February 2020, IBM Corporation and C3.ai, an enterprise AI software provider, announced a global strategic partnership to drive the growth of artificial intelligence-based data solutions across all potential industries globally. C3.ai already has the automotive giant 3M as its client, and with the help of this alliance with IBM, the company will have the chance to avail more customers from the automotive industry.

Reasons to Purchase this report:

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

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Major Categories of Data that Represent Most Value
    • 4.3.1 Diagnostics
    • 4.3.2 Location
    • 4.3.3 User Experience
    • 4.3.4 Advanced Driver Assistance System (ADAS) & Other Data for Autonomy of the Vehicle

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Efforts from Various Stakeholders in Utilizing the Vehicle Generated Data
    • 5.1.2 Growing Installed-base of Connected Cars
  • 5.2 Market Challenges
    • 5.2.1 Privacy Issues and Regulations on Vehicle Data Protection

6 MARKET SEGMENTATION

  • 6.1 Application
    • 6.1.1 Product Development, Supply Chain and Manufacturing
    • 6.1.2 OEM Warranty & Aftersales/Dealers
    • 6.1.3 Connected Vehicle & Intelligent Transportation
    • 6.1.4 Sales, Marketing and Others
  • 6.2 Geography
    • 6.2.1 North America
    • 6.2.2 Europe
    • 6.2.3 Asia Pacific
    • 6.2.4 Rest of The World

7 COMPETITIVE LANDSCAPE

  • 7.1 Key Vendor Profiles*
    • 7.1.1 N-iX LTD
    • 7.1.2 Future Processing Sp.z.o.o.
    • 7.1.3 Reply S.p.A (Data Reply)
    • 7.1.4 Phocas Ltd
    • 7.1.5 iSoftStone
    • 7.1.6 Mayato GmbH
    • 7.1.7 Qburst Technologies Private Limited
    • 7.1.8 Monixo
    • 7.1.9 Traffilog Ltd.
    • 7.1.10 Driver Design Studio Limited
    • 7.1.11 Sight Machine Inc.
    • 7.1.12 SAS Institute Inc.
    • 7.1.13 IBM Corporation
    • 7.1.14 SAP SE
    • 7.1.15 Microsoft Corporation
    • 7.1.16 Amazon Web Services Inc.
    • 7.1.17 Teradata Corporation

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET

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