自动驾驶和连网汽车记忆体的全球市场：市场规模和份额分析 - 趋势、驱动因素、竞争格局和未来预测（2024-2030）

主要亮点

2023 年，自动驾驶和连网汽车的全球记忆体市场规模为 45.969 亿美元，复合年增长率将超过 24.0%，到 2030 年将达到 210.884 亿美元。

该行业的一个主要趋势是将人工智慧 (AI) 融入车辆中。 资讯娱乐系统采用人工智慧作为虚拟个人助理，透过回应语音命令并提供有效的导航支援来帮助驾驶员。

关键见解

北美在 2023 年以约 55% 的份额引领行业，并且很可能在未来 10 年继续保持领先地位。 这一优势得益于该地区汽车技术公司数量众多以及连网和自动驾驶汽车销量的不断增长。

未来几年，亚太地区预计将以 24.8% 的最快速度成长。 这是因为该地区的可支配收入正在上升，而且经济比世界其他地区更发达。

导航类别拥有最大的市场份额，2023年约占55%的份额。

未来几年，远端资讯处理类别预计将以 24.7% 的最快速度成长。 这是因为人们越来越偏爱自动驾驶汽车。

未来几年，3 级类别将呈现最高成长率，达到 24.9%。 这是由于车辆自动驾驶的增加、此类车辆的采用增加以及共享移动车队中 3 级自动驾驶车辆的部署。

DRAM 占最大份额，2023 年约 40%。 该组件是优选的，因为它可以有效地储存资讯并且与其他组件相比便宜。

未来几年，商业类别的复合年增长率可能会更快。 这是由于车队管理和车辆追踪功能在商用车中的应用越来越多。

本报告对全球自动驾驶汽车和车联网记忆体市场进行了分析，分析了市场的基本结构和最新情况、主要推动和限制因素以及全球市场规模，我们正在调查趋势前景（货币基础，2017- 2030 年）、按应用程式、自主性、记忆体和车辆类型划分的详细趋势、市场竞争的现状以及主要公司的概况。

目录

第1章研究范围

第2章研究方法

第 3 章执行摘要

第 4 章市场指标

第5章产业展望

• 市场动态
  • 趋势
  • 促进因素
  • 抑制因素/挑战
  • 促进/抑制因子影响分析
• 新型冠状病毒感染 (COVID-19) 的影响
• 波特五力分析

第6章世界市场

• 摘要
• 市场收入：依应用分类（2017-2030 年）
• 市场收入：自治（2017-2030 年）
• 市场收入：依记忆体划分（2017-2030 年）
• 市场收入：依车型划分（2017-2030 年）
• 市场收入：按地区划分（2017-2030 年）

第7章北美市场

• 摘要
• 市场收入：依应用分类（2017-2030 年）
• 市场收入：自治（2017-2030 年）
• 市场收入：依记忆体划分（2017-2030 年）
• 市场收入：依车型划分（2017-2030 年）
• 市场收入：依国家/地区划分（2017-2030 年）

第8章欧洲市场

第9章亚太市场

第10章拉丁美洲市场

第11章中东及非洲市场

第12章美国市场

• 摘要
• 市场收入：依应用分类（2017-2030 年）
• 市场收入：自治（2017-2030 年）
• 市场收入：依记忆体划分（2017-2030 年）
• 市场收入：依车型划分（2017-2030 年）

第13章加拿大市场

第14章德国市场

第15章法国市场

第16章英国市场

第17章义大利市场

第18章西班牙市场

第19章日本市场

第20章中国市场

第21章印度市场

第22章澳洲市场

第23章韩国市场

第24章巴西市场

第25章墨西哥市场

第26章沙乌地阿拉伯市场

第27章南非市场

第 28 章阿联酋 (UAE) 市场

第29章竞争态势

• 市场参与者及其产品列表
• 主要公司的竞争基准
• 各大公司的产品基准
• 近期策略发展状况

第30章公司简介

• Infineon Technologies
• Samsung Electronics Co. Ltd.
• Toshiba Corporation
• Integrated Silicon Solution Inc.
• Renesas Electronics Corporation
• Macronix International Co. Ltd.
• ATP Electronics Inc.
• Everspin Technologies Inc.
• Swissbit AG
• Microchip Technology Inc.
• Micron Technology Inc.

第31章 附录

Key Highlights

The memory market for autonomous and connected vehicles was valued at USD 4,596.9 million in 2023, and it will rise to USD 21,088.4 million, propelling at more than 24.0% CAGR, by 2030.

A major trend being observed in this industry is the incorporation of artificial intelligence (AI) in vehicles.

AI is being employed in infotainment systems, which have now started helping as virtual personal assistants, responding to voice commands and assisting drivers by offering effective navigational support.

To cater to the rising need for a better and safer driver experience, vehicle manufacturers are working together with technology firms, to integrate AI in vehicles.

The major factor driving the expansion of this industry is the increasing fondness for a greater driving experience.

With an increasing count of commercial and passenger vehicles, issues like accidents, limited accessibility of parking space, and traffic jams have become severe, particularly in developing nations, such as Indonesia, India, and China.

According to the WHO, among the 1.35 million individuals who die in road accidents annually, 93% occur in low- and middle-income nations, which only account for 60% of the worldwide vehicle fleet.

Key Insights

North America led the industry in 2023, with approximately 55% share, and it is likely to remain leading throughout this decade. The dominance is because of the high count of automotive technology firms and the increasing sales of connected and autonomous vehicles in this region.

APAC will advance at the fastest rate, of 24.8%, in the years to come. This is because of the rising disposable salary and higher economic development in this region than in other parts of the world.

The navigation category was the largest contributor to the industry in 2023, with approximately 55% share.

This is because of the rising acceptance of navigation features in automobiles, which produce large amounts of information, associated with the chokepoints or traffic on the road, alternative routes, or shortest route, which require an efficient storage mechanism.

The telematics category will propel at the fastest rate, of 24.7%, in the years to come. This will be because of the increasing fondness for autonomous vehicles.

The level 3 category will observe the highest growth, of 24.9%, in the years to come. This will be because of the rising driving autonomy in automobiles, increasing adoption of such vehicles, and the deployment of level 3 autonomous vehicles in shared mobility fleets.

Dynamic random-access memory (DRAM) accounted for the largest share of the industry in 2023, of approximately 40%. The high fondness for this component has been because of its effective storage of information as well as its lower price compared to other variants.

The commercial category will advance at a faster compound annual growth rate in the years to come. This is because of the augmented application of fleet management & automobile tracking features in commercial automobiles.

There are domestic and international OEMs that constantly compete with each other on product and price differentiation, which, sequentially, increases market competition.

Several prominent manufacturers are enhancing their presence in developing nations to access a large number of consumers and boost their profits.

Table of Contents

Chapter 1. Research Scope

• 1.1. Research Objectives
• 1.2. Market Definition
• 1.3. Analysis Period
• 1.4. Market Size Breakdown by Segments
  • 1.4.1. Market size breakdown, by application
  • 1.4.2. Market size breakdown, by autonomy
  • 1.4.3. Market size breakdown, by memory
  • 1.4.4. Market size breakdown, by vehicle
  • 1.4.5. Market size breakdown, by region
  • 1.4.6. Market size breakdown, by country
• 1.5. Market Data Reporting Unit
  • 1.5.1. Value
• 1.6. Key Stakeholders

Chapter 2. Research Methodology

• 2.1. Secondary Research
  • 2.1.1. Paid
  • 2.1.2. Unpaid
  • 2.1.3. P&S Intelligence database
• 2.2. Primary Research
• 2.3. Market Size Estimation
• 2.4. Data Triangulation
• 2.5. Currency Conversion Rates
• 2.6. Assumptions for the Study
• 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

• 5.1. Market Dynamics
  • 5.1.1. Trends
  • 5.1.2. Drivers
  • 5.1.3. Restraints/challenges
  • 5.1.4. Impact analysis of drivers/restraints
• 5.2. Impact of COVID-19
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Bargaining power of buyers
  • 5.3.2. Bargaining power of suppliers
  • 5.3.3. Threat of new entrants
  • 5.3.4. Intensity of rivalry
  • 5.3.5. Threat of substitutes

Chapter 6. Global Market

• 6.1. Overview
• 6.2. Market Revenue, by Application (2017-2030)
• 6.3. Market Revenue, by Autonomy (2017-2030)
• 6.4. Market Revenue, by Memory (2017-2030)
• 6.5. Market Revenue, by Vehicle (2017-2030)
• 6.6. Market Revenue, by Region (2017-2030)

Chapter 7. North America Market

• 7.1. Overview
• 7.2. Market Revenue, by Application (2017-2030)
• 7.3. Market Revenue, by Autonomy (2017-2030)
• 7.4. Market Revenue, by Memory (2017-2030)
• 7.5. Market Revenue, by Vehicle (2017-2030)
• 7.6. Market Revenue, by Country (2017-2030)

Chapter 8. Europe Market

• 8.1. Overview
• 8.2. Market Revenue, by Application (2017-2030)
• 8.3. Market Revenue, by Autonomy (2017-2030)
• 8.4. Market Revenue, by Memory (2017-2030)
• 8.5. Market Revenue, by Vehicle (2017-2030)
• 8.6. Market Revenue, by Country (2017-2030)

Chapter 9. APAC Market

• 9.1. Overview
• 9.2. Market Revenue, by Application (2017-2030)
• 9.3. Market Revenue, by Autonomy (2017-2030)
• 9.4. Market Revenue, by Memory (2017-2030)
• 9.5. Market Revenue, by Vehicle (2017-2030)
• 9.6. Market Revenue, by Country (2017-2030)

Chapter 10. LATAM Market

• 10.1. Overview
• 10.2. Market Revenue, by Application (2017-2030)
• 10.3. Market Revenue, by Autonomy (2017-2030)
• 10.4. Market Revenue, by Memory (2017-2030)
• 10.5. Market Revenue, by Vehicle (2017-2030)
• 10.6. Market Revenue, by Country (2017-2030)

Chapter 11. MEA Market

• 11.1. Overview
• 11.2. Market Revenue, by Application (2017-2030)
• 11.3. Market Revenue, by Autonomy (2017-2030)
• 11.4. Market Revenue, by Memory (2017-2030)
• 11.5. Market Revenue, by Vehicle (2017-2030)
• 11.6. Market Revenue, by Country (2017-2030)

Chapter 12. U.S. Market

• 12.1. Overview
• 12.2. Market Revenue, by Application (2017-2030)
• 12.3. Market Revenue, by Autonomy (2017-2030)
• 12.4. Market Revenue, by Memory (2017-2030)
• 12.5. Market Revenue, by Vehicle (2017-2030)

Chapter 13. Canada Market

• 13.1. Overview
• 13.2. Market Revenue, by Application (2017-2030)
• 13.3. Market Revenue, by Autonomy (2017-2030)
• 13.4. Market Revenue, by Memory (2017-2030)
• 13.5. Market Revenue, by Vehicle (2017-2030)

Chapter 14. Germany Market

• 14.1. Overview
• 14.2. Market Revenue, by Application (2017-2030)
• 14.3. Market Revenue, by Autonomy (2017-2030)
• 14.4. Market Revenue, by Memory (2017-2030)
• 14.5. Market Revenue, by Vehicle (2017-2030)

Chapter 15. France Market

• 15.1. Overview
• 15.2. Market Revenue, by Application (2017-2030)
• 15.3. Market Revenue, by Autonomy (2017-2030)
• 15.4. Market Revenue, by Memory (2017-2030)
• 15.5. Market Revenue, by Vehicle (2017-2030)

Chapter 16. U.K. Market

• 16.1. Overview
• 16.2. Market Revenue, by Application (2017-2030)
• 16.3. Market Revenue, by Autonomy (2017-2030)
• 16.4. Market Revenue, by Memory (2017-2030)
• 16.5. Market Revenue, by Vehicle (2017-2030)

Chapter 17. Italy Market

• 17.1. Overview
• 17.2. Market Revenue, by Application (2017-2030)
• 17.3. Market Revenue, by Autonomy (2017-2030)
• 17.4. Market Revenue, by Memory (2017-2030)
• 17.5. Market Revenue, by Vehicle (2017-2030)

Chapter 18. Spain Market

• 18.1. Overview
• 18.2. Market Revenue, by Application (2017-2030)
• 18.3. Market Revenue, by Autonomy (2017-2030)
• 18.4. Market Revenue, by Memory (2017-2030)
• 18.5. Market Revenue, by Vehicle (2017-2030)

Chapter 19. Japan Market

• 19.1. Overview
• 19.2. Market Revenue, by Application (2017-2030)
• 19.3. Market Revenue, by Autonomy (2017-2030)
• 19.4. Market Revenue, by Memory (2017-2030)
• 19.5. Market Revenue, by Vehicle (2017-2030)

Chapter 20. China Market

• 20.1. Overview
• 20.2. Market Revenue, by Application (2017-2030)
• 20.3. Market Revenue, by Autonomy (2017-2030)
• 20.4. Market Revenue, by Memory (2017-2030)
• 20.5. Market Revenue, by Vehicle (2017-2030)

Chapter 21. India Market

• 21.1. Overview
• 21.2. Market Revenue, by Application (2017-2030)
• 21.3. Market Revenue, by Autonomy (2017-2030)
• 21.4. Market Revenue, by Memory (2017-2030)
• 21.5. Market Revenue, by Vehicle (2017-2030)

Chapter 22. Australia Market

• 22.1. Overview
• 22.2. Market Revenue, by Application (2017-2030)
• 22.3. Market Revenue, by Autonomy (2017-2030)
• 22.4. Market Revenue, by Memory (2017-2030)
• 22.5. Market Revenue, by Vehicle (2017-2030)

Chapter 23. South Korea Market

• 23.1. Overview
• 23.2. Market Revenue, by Application (2017-2030)
• 23.3. Market Revenue, by Autonomy (2017-2030)
• 23.4. Market Revenue, by Memory (2017-2030)
• 23.5. Market Revenue, by Vehicle (2017-2030)

Chapter 24. Brazil Market

• 24.1. Overview
• 24.2. Market Revenue, by Application (2017-2030)
• 24.3. Market Revenue, by Autonomy (2017-2030)
• 24.4. Market Revenue, by Memory (2017-2030)
• 24.5. Market Revenue, by Vehicle (2017-2030)

Chapter 25. Mexico Market

• 25.1. Overview
• 25.2. Market Revenue, by Application (2017-2030)
• 25.3. Market Revenue, by Autonomy (2017-2030)
• 25.4. Market Revenue, by Memory (2017-2030)
• 25.5. Market Revenue, by Vehicle (2017-2030)

Chapter 26. Saudi Arabia Market

• 26.1. Overview
• 26.2. Market Revenue, by Application (2017-2030)
• 26.3. Market Revenue, by Autonomy (2017-2030)
• 26.4. Market Revenue, by Memory (2017-2030)
• 26.5. Market Revenue, by Vehicle (2017-2030)

Chapter 27. South Africa Market

• 27.1. Overview
• 27.2. Market Revenue, by Application (2017-2030)
• 27.3. Market Revenue, by Autonomy (2017-2030)
• 27.4. Market Revenue, by Memory (2017-2030)
• 27.5. Market Revenue, by Vehicle (2017-2030)

Chapter 28. U.A.E. Market

• 28.1. Overview
• 28.2. Market Revenue, by Application (2017-2030)
• 28.3. Market Revenue, by Autonomy (2017-2030)
• 28.4. Market Revenue, by Memory (2017-2030)
• 28.5. Market Revenue, by Vehicle (2017-2030)

Chapter 29. Competitive Landscape

• 29.1. List of Market Players and their Offerings
• 29.2. Competitive Benchmarking of Key Players
• 29.3. Product Benchmarking of Key Players
• 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

• 30.1. Infineon Technologies
  • 30.1.1. Business overview
  • 30.1.2. Product and service offerings
  • 30.1.3. Key financial summary
• 30.2. Samsung Electronics Co. Ltd.
  • 30.2.1. Business overview
  • 30.2.2. Product and service offerings
  • 30.2.3. Key financial summary
• 30.3. Toshiba Corporation
  • 30.3.1. Business overview
  • 30.3.2. Product and service offerings
  • 30.3.3. Key financial summary
• 30.4. Integrated Silicon Solution Inc.
  • 30.4.1. Business overview
  • 30.4.2. Product and service offerings
  • 30.4.3. Key financial summary
• 30.5. Renesas Electronics Corporation
  • 30.5.1. Business overview
  • 30.5.2. Product and service offerings
  • 30.5.3. Key financial summary
• 30.6. Macronix International Co. Ltd.
  • 30.6.1. Business overview
  • 30.6.2. Product and service offerings
  • 30.6.3. Key financial summary
• 30.7. ATP Electronics Inc.
  • 30.7.1. Business overview
  • 30.7.2. Product and service offerings
  • 30.7.3. Key financial summary
• 30.8. Everspin Technologies Inc.
  • 30.8.1. Business overview
  • 30.8.2. Product and service offerings
  • 30.8.3. Key financial summary
• 30.9. Swissbit AG
  • 30.9.1. Business overview
  • 30.9.2. Product and service offerings
  • 30.9.3. Key financial summary
• 30.10. Microchip Technology Inc.
  • 30.10.1. Business overview
  • 30.10.2. Product and service offerings
  • 30.10.3. Key financial summary
• 30.11. Micron Technology Inc.
  • 30.11.1. Business overview
  • 30.11.2. Product and service offerings
  • 30.11.3. Key financial summary

Chapter 31. Appendix

• 31.1. Abbreviations
• 31.2. Sources and References
• 31.3. Related Reports