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The Memory Market for Connected & Autonomous Vehicles to 2029 - Increase in Semiconductor Wafer Sizes, Transition from Semi-Autonomous to Fully Autonomous Vehicles; Create Numerous Opportunities

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Mar 19, 2020, 11:15 ET

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DUBLIN, March 19, 2020 /PRNewswire/ -- The "Global Memory Market for Connected and Autonomous Vehicle: Focus on Memory Type, Level of Autonomy, Application, Vehicle Type, Country-Wise Analysis and Supply Chain Analysis - Analysis and Forecast, 2019-2029" report has been added to ResearchAndMarkets.com's offering.

This report projects the market to grow at a significant CAGR of 20.87% during the forecast period from 2019 to 2029.

The memory market for connected and autonomous vehicle market size is estimated at $2.25 billion in 2018. The North America region dominated the global memory market for connected and autonomous vehicle in 2018, whereas the APAC region is expected to have the highest growth rate during the forecast period.

The memory market for connected and autonomous vehicle is driven by the rise in innovations for driver and passenger safety applications, large amount of data generated by semi-autonomous and autonomous vehicle, and rise in demand for connected vehicles. However, sluggish pace of development of autonomous vehicles in developing countries largely limit the overall market growth.

Moreover, factors such as increase in semiconductor wafer sizes and transition from semi-autonomous vehicle to fully autonomous vehicle are anticipated to create numerous opportunities for the market growth.

Expert Quote

The DRAM segment dominated the global memory market for connected and autonomous vehicle. This is mainly due to a relatively smaller size and lower selling price of DRAMs than other conventional memories. Additionally, the memory has a simple structure and has higher storage capacity, thereby making it an ideal memory to be used in automotive applications. Moreover, North America was the largest market in 2018 and is anticipated to maintain its dominance throughout the forecast period owing to the presence of large number of manufacturing facilities of automotive OEMs and increasing number of autonomous vehicles in the region.

Market Segmentation

The memory market for connected and autonomous vehicle segmentation (on the basis of memory type) is further categorized into dynamic random access memory (DRAM), NAND, static random access memory (SRAM), and other memories. The DRAM dominated the global memory market for connected and autonomous vehicle in 2018 and the NAND memory is anticipated to grow at the fastest rate throughout the forecast period (2019-2029).

The memory market for connected and autonomous vehicle segmentation on the basis of level of autonomy is segregated into Level 1, Level 2, Level 3, Level 4, and Level 5. The Level 1 segment dominated the global memory market for connected and autonomous vehicle in 2018 and the Level 5 segment is anticipated to grow at the fastest rate throughout the forecast period.

The memory market for connected and autonomous vehicle segmentation, on the basis of application, is segregated into instrument cluster, infotainment, ADAS, powertrain, and others. The infotainment system segment dominated the global memory market for connected and autonomous vehicle in 2018 and the ADAS segment is anticipated to grow at the fastest rate throughout the forecast period.

The memory market for connected and autonomous vehicle segmentation on the basis of vehicle type is segregated into passenger vehicles, light commercial vehicles, heavy trucks, and heavy buses. The passenger vehicles segment in the conventional vehicles segment dominated the global memory market for connected and autonomous vehicle in 2018 and is anticipated to maintain its dominance throughout the forecast period.

The memory market for connected and autonomous vehicle segmentation by region is segregated under five major regions, such as North America, Europe, APAC, Middle East and Africa, and Latin America. The North America segment dominated the global memory market for connected and autonomous vehicle in 2018 and is anticipated to maintain its dominance throughout the forecast period.

Key Companies

The key players operating in the memory market for connected and autonomous vehicles include Samsung Electronics Co., Ltd., SK Hynix, Micron Technologies, Western Digital, Toshiba Corporation, Macronix, and Winbond, among others.

Key Questions Answered in the Report

  • Which global factors are expected to impact the automotive memory industry?
  • How is the industry expected to evolve during the forecast period 2019-2029?
  • How is each segment of the global automotive memory market estimated to grow during the forecast period, and what is the revenue expected to be generated by each of the segments by the end of 2029?
  • Which region is expected to be dominant in adopting the automotive memory solutions during the forecast period 2019-2029?
  • Which memory type is expected to dominate the automotive memory market during the forecast period 2019-2029?
  • Which automotive application is expected to prevail in the automotive memory market during the forecast period 2019-2029?
  • Which level of autonomy is expected to hold the major shares in the automotive memory market during the forecast period 2019-2029?
  • Which companies are major players in the market? What are the key market strategies being adopted by them?"

Key Topics Covered

Executive Summary

1 Market Overview
1.1 Emergence and Evolution of Automotive Memory
1.2 Major Components of Automotive Memory
1.3 Ecosystem Participants

2 Market Dynamics
2.1 Market Drivers
2.1.1 Impact of Market Drivers
2.1.2 Innovations in Driver and Passenger Safety Applications
2.1.3 Large Amount of Data Generated by Semi-Autonomous Vehicles and Autonomous Vehicles
2.1.4 Rising Demand for Connected Vehicles
2.2 Market Challenges
2.2.1 Impact of Market Challenges
2.2.2 Growing Threat of Automotive Cyber Attacks and Data Leakage in Storage Devices
2.2.3 Sluggish Pace of Development of Autonomous Vehicles in Developing Countries
2.3 Market Opportunities
2.3.1 Increase in Wafer Sizes Enhancing the Production of Memory ICs
2.3.2 Transition from Semi-Autonomous Vehicle to Fully Autonomous Vehicle

3 Competitive Intelligence
3.1 Key Developments in the Market and Strategies Adopted
3.1.1 Product Launches
3.1.2 Partnerships, Collaborations, and Joint Ventures
3.1.3 Business Expansion
3.1.4 Mergers and Acquisitions
3.1.5 Awards and Recognition
3.2 Key Players Active in the Market
3.3 Competitive Landscape

4 Industry Analysis
4.1 Value Chain Analysis
4.2 Supply Chain Analysis
4.3 Go-to-Market Strategies Adopted by Automotive OEMs and Self Driving Technology Providers
4.3.1 Major Strategy and Development
4.4 Start-Up Landscape: Automotive Memory Services Providers Space
4.4.1 Major Start-ups in the Ecosystem
4.4.2 Funding Analysis
4.4.2.1 Major Investors
4.5 Association and Consortium

5 Global Memory Market for Connected and Autonomous Vehicle, by Level of Autonomy
5.1 Market Overview
5.2 Level 1 (Advanced Driving Assistance System- ADAS)
5.3 Level 2 (Partial Automation)
5.4 Level 3 (Conditional Automation)
5.5 Level 4 (High Automation)
5.6 Level 5 (High Automation)

6 Global Memory Market for Connected and Autonomous Vehicle, by Memory Type
6.1 Market Overview
6.2 DRAM
6.3 SRAM
6.4 NAND
6.5 Others

7 Global Memory Market for Connected and Autonomous Vehicle, by Application
7.1 Market Overview
7.2 Instrument Cluster
7.3 Infotainment System
7.4 Advanced Driving Assistance System (ADAS)
7.5 Powertrain
7.6 Others

8 Global Memory Market for Connected and Autonomous Vehicle, by Vehicle Type
8.1 Market Overview
8.2 Passenger Vehicles
8.3 Light Commercial Vehicle
8.4 Heavy Trucks
8.5 Heavy Buses

9 Market Value Analysis of Memory Market by Wafer Size
9.1 Introduction
9.2 Emergence and Evolution of Memory Wafers Size

10 Global Memory Market for Connected and Autonomous Vehicle, by Region
10.1 North America
10.2 Europe
10.3 Asia-Pacific (APAC)
10.4 the Middle East and Africa
10.5 Latin America

11 Company Profiles
11.1 Micron Technology Inc.
11.1.1 Company Overview
11.1.2 Role of Micron Technology in the Global Memory Market for Connected & Autonomous Vehicles
11.1.3 Financials
11.1.4 SWOT Analysis
11.2 Western Digital Technologies Inc.
11.3 Nanya Technology Corporation
11.4 Cypress Semiconductor Corporation
11.5 Integrated Silicon Solution Inc.
11.6 SK Hynix Inc.
11.7 Renesas Electronics Corporation
11.8 Macronix International Co. Ltd.
11.9 Winbond Electronics Corporation
11.10 ATP Electronics Inc.
11.11 Everspin Technologies Inc.
11.12 Swissbit AG
11.13 Toshiba Corporation
11.14 Microchip Technology Inc.
11.15 Samsung Electronics Co. Ltd.

For more information about this report visit https://www.researchandmarkets.com/r/ldarrx

Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research.

Media Contact:

Research and Markets
Laura Wood, Senior Manager
[email protected]

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