自動駕駛和連網汽車記憶體的全球市場：市場規模和份額分析 - 趨勢、驅動因素、競爭格局和未來預測（2024-2030）

主要亮點

2023 年，自動駕駛和連網汽車的全球記憶體市場規模為 45.969 億美元，複合年增長率將超過 24.0%，到 2030 年將達到 210.884 億美元。

該行業的一個主要趨勢是將人工智慧 (AI) 融入車輛中。 資訊娛樂系統採用人工智慧作為虛擬個人助理，透過回應語音命令並提供有效的導航支援來幫助駕駛員。

關鍵見解

北美在 2023 年以約 55% 的份額引領行業，並且很可能在未來 10 年繼續保持領先地位。 這一優勢得益於該地區汽車技術公司數量眾多以及連網和自動駕駛汽車銷量的不斷增長。

未來幾年，亞太地區預計將以 24.8% 的最快速度成長。 這是因為該地區的可支配收入正在上升，而且經濟比世界其他地區更發達。

導航類別擁有最大的市場份額，2023年約佔55%的份額。

未來幾年，遠端資訊處理類別預計將以 24.7% 的最快速度成長。 這是因為人們越來越偏愛自動駕駛汽車。

未來幾年，3 級類別將呈現最高成長率，達到 24.9%。 這是由於車輛自動駕駛的增加、此類車輛的採用增加以及共享移動車隊中 3 級自動駕駛車輛的部署。

DRAM 佔最大份額，2023 年約 40%。 該組件是優選的，因為它可以有效地儲存資訊並且與其他組件相比便宜。

未來幾年，商業類別的複合年增長率可能會更快。 這是由於車隊管理和車輛追蹤功能在商用車中的應用越來越多。

本報告對全球自動駕駛汽車和車聯網記憶體市場進行了分析，分析了市場的基本結構和最新情況、主要推動和限制因素以及全球市場規模，我們正在調查趨勢前景（貨幣基礎，2017- 2030 年）、按應用程式、自主性、記憶體和車輛類型劃分的詳細趨勢、市場競爭的現狀以及主要公司的概況。

目錄

第1章研究範圍

第2章研究方法

第 3 章執行摘要

第 4 章市場指標

第5章產業展望

• 市場動態
  • 趨勢
  • 促進因素
  • 抑制因素/挑戰
  • 促進/抑制因子影響分析
• 新型冠狀病毒感染 (COVID-19) 的影響
• 波特五力分析

第6章世界市場

• 摘要
• 市場收入：依應用分類（2017-2030 年）
• 市場收入：自治（2017-2030 年）
• 市場收入：依記憶體劃分（2017-2030 年）
• 市場收入：依車型劃分（2017-2030 年）
• 市場收入：按地區劃分（2017-2030 年）

第7章北美市場

• 摘要
• 市場收入：依應用分類（2017-2030 年）
• 市場收入：自治（2017-2030 年）
• 市場收入：依記憶體劃分（2017-2030 年）
• 市場收入：依車型劃分（2017-2030 年）
• 市場收入：依國家/地區劃分（2017-2030 年）

第8章歐洲市場

第9章亞太市場

第10章拉丁美洲市場

第11章中東及非洲市場

第12章美國市場

• 摘要
• 市場收入：依應用分類（2017-2030 年）
• 市場收入：自治（2017-2030 年）
• 市場收入：依記憶體劃分（2017-2030 年）
• 市場收入：依車型劃分（2017-2030 年）

第13章加拿大市場

第14章德國市場

第15章法國市場

第16章英國市場

第17章義大利市場

第18章西班牙市場

第19章日本市場

第20章中國市場

第21章印度市場

第22章澳洲市場

第23章韓國市場

第24章巴西市場

第25章墨西哥市場

第26章沙烏地阿拉伯市場

第27章南非市場

第 28 章阿聯酋 (UAE) 市場

第29章競爭態勢

• 市場參與者及其產品列表
• 主要公司的競爭基準
• 各大公司的產品基準
• 近期策略發展狀況

第30章公司簡介

• 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 附錄

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