Highlights
The global Memory of Connected and Autonomous Vehicle market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Memory of Connected and Autonomous Vehicle is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Memory of Connected and Autonomous Vehicle is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Memory of Connected and Autonomous Vehicle in Instrument Cluster is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Memory of Connected and Autonomous Vehicle include Samsung Electronics Co., Ltd., SK Hynix, Micron Technologies, Western Digital, Toshiba Corporation, Macronix, Winbond, SunDisk and Hailo, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Memory of Connected and Autonomous Vehicle, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Memory of Connected and Autonomous Vehicle.
The Memory of Connected and Autonomous Vehicle market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Memory of Connected and Autonomous Vehicle market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Memory of Connected and Autonomous Vehicle companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Samsung Electronics Co., Ltd.
SK Hynix
Micron Technologies
Western Digital
Toshiba Corporation
Macronix
Winbond
SunDisk
Hailo
AIStorm
Esperanto Technologies
Quadric
Graphcore
Xnor
Flex Logix
Segment by Type
by Memory Type
DRAM
NAND
SRAM
Other Memories
by Level of Autonomy
Level 1
Level 2
Level 3
Level 4
Level 5
Segment by Application
Instrument Cluster
Infotainment
ADAS
Powertrain
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Memory of Connected and Autonomous Vehicle companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Memory Type
1.2.1 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Size Growth Rate by Memory Type: 2018 VS 2022 VS 2029
1.2.2 DRAM
1.2.3 NAND
1.2.4 SRAM
1.2.5 Other Memories
1.3 麻豆原创 by Application
1.3.1 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Instrument Cluster
1.3.3 Infotainment
1.3.4 ADAS
1.3.5 Powertrain
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Perspective (2018-2029)
2.2 Memory of Connected and Autonomous Vehicle Growth Trends by Region
2.2.1 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Memory of Connected and Autonomous Vehicle Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Memory of Connected and Autonomous Vehicle Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Memory of Connected and Autonomous Vehicle 麻豆原创 Dynamics
2.3.1 Memory of Connected and Autonomous Vehicle Industry Trends
2.3.2 Memory of Connected and Autonomous Vehicle 麻豆原创 Drivers
2.3.3 Memory of Connected and Autonomous Vehicle 麻豆原创 Challenges
2.3.4 Memory of Connected and Autonomous Vehicle 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Memory of Connected and Autonomous Vehicle Players by Revenue
3.1.1 Global Top Memory of Connected and Autonomous Vehicle Players by Revenue (2018-2023)
3.1.2 Global Memory of Connected and Autonomous Vehicle Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Memory of Connected and Autonomous Vehicle Revenue
3.4 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Concentration Ratio
3.4.1 Global Memory of Connected and Autonomous Vehicle 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Memory of Connected and Autonomous Vehicle Revenue in 2022
3.5 Memory of Connected and Autonomous Vehicle Key Players Head office and Area Served
3.6 Key Players Memory of Connected and Autonomous Vehicle Product Solution and Service
3.7 Date of Enter into Memory of Connected and Autonomous Vehicle 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Memory of Connected and Autonomous Vehicle Breakdown Data by Type
4.1 Global Memory of Connected and Autonomous Vehicle Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Memory of Connected and Autonomous Vehicle Forecasted 麻豆原创 Size by Type (2024-2029)
5 Memory of Connected and Autonomous Vehicle Breakdown Data by Application
5.1 Global Memory of Connected and Autonomous Vehicle Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Memory of Connected and Autonomous Vehicle Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Memory of Connected and Autonomous Vehicle 麻豆原创 Size (2018-2029)
6.2 North America Memory of Connected and Autonomous Vehicle 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2018-2023)
6.4 North America Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Memory of Connected and Autonomous Vehicle 麻豆原创 Size (2018-2029)
7.2 Europe Memory of Connected and Autonomous Vehicle 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2018-2023)
7.4 Europe Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Memory of Connected and Autonomous Vehicle 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Memory of Connected and Autonomous Vehicle 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Memory of Connected and Autonomous Vehicle 麻豆原创 Size (2018-2029)
9.2 Latin America Memory of Connected and Autonomous Vehicle 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Memory of Connected and Autonomous Vehicle 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Memory of Connected and Autonomous Vehicle 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Memory of Connected and Autonomous Vehicle 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Samsung Electronics Co., Ltd.
11.1.1 Samsung Electronics Co., Ltd. Company Detail
11.1.2 Samsung Electronics Co., Ltd. Business Overview
11.1.3 Samsung Electronics Co., Ltd. Memory of Connected and Autonomous Vehicle Introduction
11.1.4 Samsung Electronics Co., Ltd. Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.1.5 Samsung Electronics Co., Ltd. Recent Development
11.2 SK Hynix
11.2.1 SK Hynix Company Detail
11.2.2 SK Hynix Business Overview
11.2.3 SK Hynix Memory of Connected and Autonomous Vehicle Introduction
11.2.4 SK Hynix Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.2.5 SK Hynix Recent Development
11.3 Micron Technologies
11.3.1 Micron Technologies Company Detail
11.3.2 Micron Technologies Business Overview
11.3.3 Micron Technologies Memory of Connected and Autonomous Vehicle Introduction
11.3.4 Micron Technologies Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.3.5 Micron Technologies Recent Development
11.4 Western Digital
11.4.1 Western Digital Company Detail
11.4.2 Western Digital Business Overview
11.4.3 Western Digital Memory of Connected and Autonomous Vehicle Introduction
11.4.4 Western Digital Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.4.5 Western Digital Recent Development
11.5 Toshiba Corporation
11.5.1 Toshiba Corporation Company Detail
11.5.2 Toshiba Corporation Business Overview
11.5.3 Toshiba Corporation Memory of Connected and Autonomous Vehicle Introduction
11.5.4 Toshiba Corporation Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.5.5 Toshiba Corporation Recent Development
11.6 Macronix
11.6.1 Macronix Company Detail
11.6.2 Macronix Business Overview
11.6.3 Macronix Memory of Connected and Autonomous Vehicle Introduction
11.6.4 Macronix Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.6.5 Macronix Recent Development
11.7 Winbond
11.7.1 Winbond Company Detail
11.7.2 Winbond Business Overview
11.7.3 Winbond Memory of Connected and Autonomous Vehicle Introduction
11.7.4 Winbond Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.7.5 Winbond Recent Development
11.8 SunDisk
11.8.1 SunDisk Company Detail
11.8.2 SunDisk Business Overview
11.8.3 SunDisk Memory of Connected and Autonomous Vehicle Introduction
11.8.4 SunDisk Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.8.5 SunDisk Recent Development
11.9 Hailo
11.9.1 Hailo Company Detail
11.9.2 Hailo Business Overview
11.9.3 Hailo Memory of Connected and Autonomous Vehicle Introduction
11.9.4 Hailo Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.9.5 Hailo Recent Development
11.10 AIStorm
11.10.1 AIStorm Company Detail
11.10.2 AIStorm Business Overview
11.10.3 AIStorm Memory of Connected and Autonomous Vehicle Introduction
11.10.4 AIStorm Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.10.5 AIStorm Recent Development
11.11 Esperanto Technologies
11.11.1 Esperanto Technologies Company Detail
11.11.2 Esperanto Technologies Business Overview
11.11.3 Esperanto Technologies Memory of Connected and Autonomous Vehicle Introduction
11.11.4 Esperanto Technologies Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.11.5 Esperanto Technologies Recent Development
11.12 Quadric
11.12.1 Quadric Company Detail
11.12.2 Quadric Business Overview
11.12.3 Quadric Memory of Connected and Autonomous Vehicle Introduction
11.12.4 Quadric Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.12.5 Quadric Recent Development
11.13 Graphcore
11.13.1 Graphcore Company Detail
11.13.2 Graphcore Business Overview
11.13.3 Graphcore Memory of Connected and Autonomous Vehicle Introduction
11.13.4 Graphcore Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.13.5 Graphcore Recent Development
11.14 Xnor
11.14.1 Xnor Company Detail
11.14.2 Xnor Business Overview
11.14.3 Xnor Memory of Connected and Autonomous Vehicle Introduction
11.14.4 Xnor Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.14.5 Xnor Recent Development
11.15 Flex Logix
11.15.1 Flex Logix Company Detail
11.15.2 Flex Logix Business Overview
11.15.3 Flex Logix Memory of Connected and Autonomous Vehicle Introduction
11.15.4 Flex Logix Revenue in Memory of Connected and Autonomous Vehicle Business (2018-2023)
11.15.5 Flex Logix Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Samsung Electronics Co., Ltd.
SK Hynix
Micron Technologies
Western Digital
Toshiba Corporation
Macronix
Winbond
SunDisk
Hailo
AIStorm
Esperanto Technologies
Quadric
Graphcore
Xnor
Flex Logix
听
听
*If Applicable.
