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巨量資料

市場調查報告書

商品編碼

1445666

汽車產業巨量資料 - 市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

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簡介目錄

汽車業巨量資料市場預計將從2024年的59.2億美元成長到2029年的128.6億美元，預測期間（2024-2029年）CAGR為16.78%。

汽車產業正在透過採用從感測器到人工智慧到巨量資料分析等技術、應用和服務來實現轉型；因此，生態系統正在見證新參與者的持續湧入，從而促使未來汽車的持續發展。各利害關係人擴大利用車輛產生的資料，加上連網汽車安裝量的不斷成長，推動了市場的成長。

主要亮點

大資料分析允許汽車製造業從 ERP 系統收集資料，以整合來自業務和供應鏈成員的多個功能單元的資訊。隨著工業物聯網、網路系統和M2M通訊的出現，汽車產業正向工業4.0定位。感測器、RFID、條碼閱讀器和機器人現已成為業界製造車間的標準配置。這些設備成倍增加了資料生成點。
消費性電子產業高度依賴需求和供給因素。巨量資料分析的使用極大地幫助了這個行業的區隔，並使其能夠轉向拉動市場策略而不是推動市場策略。透過巨量資料分析，該行業現在更加了解消費者的行為模式，並可以根據這些行為模式來規劃生產。隨著物聯網的發展和電子元件成為汽車不可或缺的一部分，汽車產業也展現出類似的潛力。
此外，巨量資料分析幫助汽車製造商提高銷售和行銷效率。它還透過幫助整合預測性維護和服務計劃等實用程式來改善其營運。它還幫助汽車供應商簡化採購流程，透過分析需求預測資料提高成本效益。
數據對於 OEM 來說變得越來越重要。因此，必須透過強力的隱私權策略確保它們遵守一般資料保護規範 (GDPR)。由於業內許多人尚不熟悉現有法規和內部政策，因此需要對資料保護，特別是 GDPR 的細節有明顯的認知。這可能會導致與公眾的溝通不良。因此，資料保護法對於互聯和自主移動非常重要，因為自動擷取的資料範圍非常廣泛。
最近爆發的 COVID-19 揭示了不確定性對決策過程和市場的負面影響。當市場參與者開始收到有關情況的即時資訊時，汽車市場開始放緩。這是一個可以利用巨量資料向各個利害關係人放大資訊以防止恐慌並確保市場穩定和供應安全的場景。

汽車市場趨勢中的巨量資料

產品開發、供應鏈和製造板塊佔主要佔有率

在當代科技驅動的企業環境中，大資料是製造商生產力和效率的關鍵促進因素之一。由於感測器和連接設備的快速採用以及機器對機器 (M2M) 通訊的便利，汽車行業的資料點數量顯著增加。
儘管汽車行業在製造、行銷和供應鏈等領域採用資料分析方面取得了重大進展，但產品本身內資料生成和分析的利用相對剛剛起步。然而，隨著物聯網（IoT）的日益普及和運算的進步，更具成本效益的資料收集方法開始出現。
連網汽車可能會促使使用者體驗發生重大變化。根據美聯社報道，預計到 2023 年，汽車產業將在全球生產 7,630 萬輛連網汽車。透過提供設備和軟體，您可以將他們連接到雲端，以便他們可以產生資料並獲得有用的見解。當汽車公司能夠存取即時的道路資料，它可以加快產品開發速度，並可能徹底改變他們監控性能、維護產品品質和確保安全的方式。
美國最大的汽車製造商通用汽車是汽車行業使用巨量資料和分析的先驅。如今，汽車中的感測器和中央處理器 (CPU) 已成為常態。以汽車內的感測器和遠端資訊處理為重點，通用汽車可以節省大量資金，同時提高車輛的安全性和可靠性。例如，DataFlair 聲稱遠端資訊處理就像一座金礦，因為它可以為每輛車節省高達 800 美元的費用。

亞太地區預計將在預測期內大幅成長

在所有地區中，亞太地區人口最多。由於該地區城市人口不斷成長和購買力不斷上升，亞太地區被視為汽車行業最大的市場之一。
根據中國汽車工業協會 (CAAM) 的數據，2022 年 4 月，中國銷售了約 96.5 萬輛乘用車和 21.6 萬輛商用車；這些數字較上個月分別減少了 48% 和 42%。預計如此大規模的汽車銷售將為正在調查的行業帶來成長機會。
企業正在共同努力擴大在眾多領域的影響力，以增加市場佔有率、滲透不同的市場並實現產品供應多元化。例如，2022 年 6 月，日本電報電話公司 (NTT) 和豐田汽車合作開發連網汽車來收集和共享資料。 NTT資料網路和資料部門執行長Yo Honma在接受採訪時表示，該公司將積極研究併購，以加快進軍海外市場的步伐。據 Honma 稱，該公司可能在未來四年內斥資高達 4,000 億日圓（30 億美元）進行交易。
例如，SG Holdings Co. 旗下的 Sakawa Express Co. 於 2021 年 6 月推出了首款電動車的原型車，作為其實現所有小型貨車電氣化目標的一部分。該車輛是與東京新創公司 ASF 合作製造的。該國最大的送貨服務公司計劃在 2030 年改用電動車，每年減少 28,000 噸二氧化碳排放。這些變化將使所研究的市場有可能擴大。

汽車產業巨量資料概述

汽車產業的巨量資料市場競爭激烈，由許多全球和區域參與者組成。這些參與者佔據了相當大的市場佔有率，並專注於擴大客戶群。這些供應商專注於研發活動、策略合作夥伴關係以及其他有機和無機成長策略，以在預測期內獲得競爭優勢。

2022年3月，美國國家儀器公司（NIC）收購Heinzinger GmbH的電子汽車系統部門的消息公開。此次收購將提高 NIC 的電氣化、電池測試和永續能源能力，同時擴大其客戶群。在測試汽車產業組件方面，NI 和 Heinzinger 扮演著極其互補的角色。這使得快速創新能夠實現車輛電氣化並實現零願景。

2022 年 1 月，為了擴大在北美的業務，Reply SpA 宣布收購 Enowa LLC，這是一家專門從事基於 SAP 技術提供諮詢和建置解決方案的公司。 Enowa LLC 使用 SAP 技術提供加值服務和雲端設計。

額外的好處：

Excel 格式的市場估算 (ME) 表
3 個月的分析師支持

公司簡介
- 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：投資分析

第 9 章：市場機會與未來趨勢

簡介目錄

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.