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汽车产业大数据 - 市场占有率分析、产业趋势与统计、成长预测（2024 - 2029）

Big Data in the Automotive Industry - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: 2024年02月15日 | 出版商:

Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3个工作天内

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简介目录

汽车业大数据市场预计将从2024年的59.2亿美元成长到2029年的128.6亿美元，预测期间（2024-2029年）CAGR为16.78%。

汽车产业正在透过采用从感测器到人工智慧到巨量资料分析等技术、应用和服务来实现转型；因此，生态系统正在见证新参与者的持续涌入，从而导致未来汽车的持续发展。各利害关係人越来越多地利用车辆产生的资料，加上连网汽车安装量的不断增长，推动了市场的成长。

主要亮点

大资料分析允许汽车製造业从 ERP 系统收集资料，以整合来自业务和供应链成员的多个功能单元的资讯。随着工业物联网、网路系统和M2M通讯的出现，汽车产业正向工业4.0定位。感测器、RFID、条码阅读器和机器人现已成为业界製造车间的标准配置。这些设备成倍增加了资料生成点。
消费性电子产业高度依赖需求和供给因素。巨量资料分析的使用极大地帮助了这个行业的细分，并使其能够转向拉动市场策略而不是推动市场策略。透过巨量资料分析，该行业现在更加了解消费者的行为模式，并可以根据这些行为模式来规划生产。随着物联网的发展和电子元件成为汽车不可或缺的一部分，汽车产业也展现出类似的潜力。
此外，巨量资料分析帮助汽车製造商提高销售和行销效率。它还透过帮助整合预测性维护和服务计划等实用程式来改善其营运。它还帮助汽车供应商简化采购流程，透过分析需求预测资料提高成本效益。
数据对于 OEM 来说变得越来越重要。因此，必须透过强有力的隐私权策略确保它们遵守一般资料保护规范 (GDPR)。由于业内许多人尚不熟悉现有法规和内部政策，因此需要对资料保护，特别是 GDPR 的细节有明显的认识。这可能会导致与公众的沟通不良。因此，资料保护法对于互联和自主移动非常重要，因为自动撷取的资料范围非常广泛。
最近爆发的 COVID-19 揭示了不确定性对决策过程和市场的负面影响。当市场参与者开始收到有关情况的即时资讯时，汽车市场开始放缓。这是一个可以利用巨量资料向各个利害关係人放大资讯以防止恐慌并确保市场稳定和供应安全的场景。

汽车市场趋势中的大数据

产品开发、供应链和製造板块占主要份额

在当代科技驱动的企业环境中，大资料是製造商生产力和效率的关键驱动因素之一。由于感测器和连接设备的快速采用以及机器对机器 (M2M) 通讯的便利，汽车行业的资料点数量显着增加。
儘管汽车行业在製造、行销和供应链等领域采用资料分析方面取得了重大进展，但产品本身内资料生成和分析的利用相对刚刚起步。然而，随着物联网（IoT）的日益普及和运算的进步，更具成本效益的资料收集方法开始出现。
连网汽车可能会导致使用者体验发生重大变化。根据美联社报道，预计到 2023 年，汽车产业将在全球生产 7,630 万辆连网汽车。透过提供设备和软体，您可以将他们连接到云端，以便他们可以产生资料并获得有用的见解。当汽车公司能够存取即时的道路资料，它可以加快产品开发速度，并可能彻底改变他们监控性能、维护产品品质和确保安全的方式。
美国最大的汽车製造商通用汽车是汽车行业使用巨量资料和分析的先驱。如今，汽车中的感测器和中央处理器 (CPU) 已成为常态。以汽车内的感测器和远端资讯处理为重点，通用汽车可以节省大量资金，同时提高车辆的安全性和可靠性。例如，DataFlair 声称远端资讯处理就像一座金矿，因为它可以为每辆车节省高达 800 美元的费用。

亚太地区预计将在预测期内大幅成长

在所有地区中，亚太地区人口最多。由于该地区城市人口不断增长和购买力不断上升，亚太地区被视为汽车行业最大的市场之一。
根据中国汽车工业协会 (CAAM) 的数据，2022 年 4 月，中国销售了约 96.5 万辆乘用车和 21.6 万辆商用车；这些数字较上个月分别减少了 48% 和 42%。预计如此大规模的汽车销售将为正在调查的行业带来成长机会。
企业正在共同努力扩大在众多领域的影响力，以增加市场份额、渗透不同的市场并实现产品供应多元化。例如，2022 年 6 月，日本电报电话公司 (NTT) 和丰田汽车合作开发连网汽车来收集和共享资料。 NTT资料网路和资料部门执行长Yo Honma在接受采访时表示，该公司将积极研究併购，以加快进军海外市场的步伐。据 Honma 称，该公司可能在未来四年内斥资高达 4,000 亿日圆（30 亿美元）进行交易。
例如，SG Holdings Co. 旗下的 Sakawa Express Co. 于 2021 年 6 月推出了首款电动车的原型车，作为其实现所有小型货车电气化目标的一部分。该车辆是与东京新创公司 ASF 合作製造的。该国最大的送货服务公司计划在 2030 年改用电动车，每年减少 28,000 吨二氧化碳排放。这些变化将使所研究的市场有可能扩大。

汽车产业大数据概述

汽车产业的巨量资料市场竞争激烈，由许多全球和区域参与者组成。这些参与者占据了相当大的市场份额，并专注于扩大客户群。这些供应商专注于研发活动、策略合作伙伴关係以及其他有机和无机成长策略，以在预测期内获得竞争优势。

2022年3月，美国国家仪器公司（NIC）收购Heinzinger GmbH的电子汽车系统部门的消息公开。此次收购将提高 NIC 的电气化、电池测试和永续能源能力，同时扩大其客户群。在测试汽车产业组件方面，NI 和 Heinzinger 扮演着极其互补的角色。这使得快速创新能够实现车辆电气化并实现零愿景。

2022 年 1 月，为了扩大在北美的业务，Reply SpA 宣布收购 Enowa LLC，这是一家专门从事基于 SAP 技术提供咨询和建置解决方案的公司。 Enowa LLC 使用 SAP 技术提供加值服务和云端设计。

额外的好处：

Excel 格式的市场估算 (ME) 表
3 个月的分析师支持

公司简介
- N-iX LTD
- Future Processing Sp.zoo
- Reply SpA (Data Reply)
- Phocas Ltd
- Positive Thinking Company
- Qburst Technologies Private Limited
- Monixo SAS
- Allerin Tech Private Limited
- Driver Design Studio Limited
- Sight Machine Inc.
- SAS Institute Inc.
- IBM Corporation
- SAP SE
- Microsoft Corporation
- National Instruments Corp.

第 8 章：投资分析

第 9 章：市场机会与未来趋势

简介目录

Product Code: 71403

The Big Data Market In The Automotive Industry is expected to grow from USD 5.92 billion in 2024 to USD 12.86 billion by 2029, at a CAGR of 16.78% during the forecast period (2024-2029).

Big Data In The Automotive Industry - Market

The automobile industry is being transformed by adopting 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 market growth.

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, and M2M communication, the automotive industry is positioning itself toward industry 4.0. Sensors, RFIDs, barcode readers, and robots are now standard on the industry's manufacturing floor. These devices have increased data generation points exponentially.
The consumer electronics industry is highly dependent on the demand and supply factors. The use of big data analytics helped this industry segment drastically and allowed it to switch to a pull market strategy instead of the push market strategy. With big data analytics, the industry is now more aware of consumer behavior patterns and may plan production based on these. A similar potential has been exposed in the automotive sector, with IoT evolutions and electronics components becoming an integral part of automobiles.
Furthermore, big data analytics helped automobile manufacturers boost their efficiency in terms of sales and marketing. It also improved its operations by aiding in the incorporation of utilities like predictive maintenance and service schedule. It also aided automotive vendors in streamlining the procurement process, making it more cost-efficient by analyzing the data for demand prediction.
Data is increasingly becoming crucial for OEMs. Therefore, it is essential to ensure that they comply with the General Data Protection Regulation (GDPR) through a strong privacy strategy. An evident appreciation for data protection, and in particular the details of the GDPR, are required, as many in the industry are not yet familiar with existing regulations and internal policies. This may lead to miscommunication with the public. Therefore, data protection law is important in connected and autonomous mobility because the breadth of data captured automatically is tremendous.
The recent outbreak of COVID-19 revealed the negative impacts of uncertainty on decision-making processes and markets. At the time point when market participants started to receive real-time information about the situation, the automotive markets began to ease. This is one scenario where big data can be used to amplify information to various stakeholders to prevent panic and to ensure market stability and security of supply.

Big Data in Automotive Market Trends

Product Development, Supply Chain and Manufacturing Segment Accounts for a Major Share

Big data is one of the key drivers of productivity and efficiency for manufacturers in the contemporary technology-driven corporate climate. There has been a significant increase in the number of data points for the automobile industry due to the rapid adoption of sensors and connected devices, as well as the facilitation of machine-to-machine (M2M) communication.
While the car industry has made significant strides in adopting data analytics in areas such as manufacturing, marketing, and supply chain, the utilization of data generation and analysis within the product itself has been relatively nascent. However, with the increasing popularity of the Internet of Things (IoT) and advancements in computing, more cost-effective data collection methods are beginning to emerge.
A significant change in the user experience may result from connected automobiles. According to the Associated Press, by 2023, it is predicted that 76.3 million connected cars will be produced worldwide by the automobile industry. By offering gear and software, you can connect them to the cloud so they can generate data and gain useful insight. When automotive companies get access to real-time, on-the-road data, it speeds up product development and may revolutionize how they monitor performance, maintain product quality, and ensure safety.
The largest American automaker, General Motors, was a pioneer in the use of big data and analytics in the automotive sector. These days, sensors and central processing units (CPUs) in cars are the norm. With sensors and telematics within the automobile as its focus, General Motors can save a lot of money while also improving the safety and dependability of its vehicles. For instance, DataFlair claims that telematics is like a gold mine because it offers significant savings of up to USD 800 per vehicle.

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

Of all the regions, the Asia-Pacific has the largest population. Asia-Pacific is regarded as one of the biggest markets for the automotive industry due to the region's growing urban population and rising purchasing power.
Around 965,000 passenger cars and 216,000 commercial vehicles were sold in China in April 2022, according to the China Association of Automobile Manufacturers (CAAM); these figures reflect a 48% and a 42% reduction, respectively, from the previous month. Such massive vehicle sales are anticipated to present a growth opportunity for the sector under investigation.
Businesses are working together to grow their presence in numerous areas to increase their market share, penetrate diverse markets, and diversify their product offerings. For instance, in June 2022, Nippon Telegraph & Telephone (NTT) and Toyota Motor collaborated to develop connected cars to collect and share data. Yo Honma, the chief executive of NTT's data networking and data division, stated in an interview that the business would actively investigate mergers and acquisitions to hasten its drive into foreign markets. According to Honma, the company could spend as much as JPY 400 billion (USD 3 billion) on deals over the next four years.
For instance, Sagawa Express Co. of SG Holdings Co. debuted a prototype of its first electric vehicle in June 2021 as part of its goal to electrify all small delivery vans. This vehicle was constructed in collaboration with the Tokyo startup ASF. The biggest delivery service in the country intends to switch to electric vehicles by 2030 and reduce its CO2 emissions by 28,000 tonnes yearly. These changes should make it possible for the market under study to expand.

Big Data in Automotive Industry Overview

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

In March 2022, the purchase of Heinzinger GmbH's electronic vehicle systems division by National Instruments Corporation (NIC) was made public. The acquisition would increase NIC's capacity for electrification, battery testing, and sustainable energy while increasing its customer base. When it comes to testing automotive industry components, NI and Heinzinger play roles that are extremely complementary to one another. This allows for quick innovation to electrify vehicles and achieve vision zero.

In January 2022, to increase its footprint in North America, Reply SpA announced the acquisition of Enowa LLC, a business that specializes in advising and building solutions based on SAP technology. Enowa LLC uses SAP technology to provide value-added services and cloud design.

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 Industry Value Chain Analysis
4.3 Industry Attractiveness - 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 Intensity of Competitive Rivalry
4.4 Assessment of the Impact of COVID-19 on the Industry

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 By Application
- 6.1.1 Product Development, Supply Chain and Manufacturing
- 6.1.2 OEM Warranty and Aftersales/Dealers
- 6.1.3 Connected Vehicle and Intelligent Transportation
- 6.1.4 Sales, Marketing and Other Applications
6.2 By 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 Company Profiles
- 7.1.1 N-iX LTD
- 7.1.2 Future Processing Sp.z.o.o
- 7.1.3 Reply SpA (Data Reply)
- 7.1.4 Phocas Ltd
- 7.1.5 Positive Thinking Company
- 7.1.6 Qburst Technologies Private Limited
- 7.1.7 Monixo SAS
- 7.1.8 Allerin Tech Private Limited
- 7.1.9 Driver Design Studio Limited
- 7.1.10 Sight Machine Inc.
- 7.1.11 SAS Institute Inc.
- 7.1.12 IBM Corporation
- 7.1.13 SAP SE
- 7.1.14 Microsoft Corporation
- 7.1.15 National Instruments Corp.