Report Feature
Automotive Memory Market Trends and Forecast
A more than 150-page report is developed to help in your business decisions. A sample figure with some insights is shown below.
Automotive Memory Market by Segment
Automotive Memory Market by Product [Value ($B) Shipment Analysis from 2017 to 2028]:
- NOR
- NAND
- Flash
- DRAM
- Others
Automotive Memory Market by Vehicle Type [Value ($B) Shipment Analysis from 2017 to 2028]:
- Commercial Vehicles
- Passenger Cars
Automotive Memory Market by Application [Value ($B) Shipment Analysis from 2017 to 2028]:
- Infotainment Systems
- Powertrain
- Instrument Cluster
- ADAS
- Others
Automotive Memory Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:
- North America
- Europe
- Asia Pacific
- The Rest of the World
List of Automotive Memory Companies
Automotive Memory Market Insights
- Lucintel forecasts that NOR will remain the largest product segment over the forecast period because the increasing usage of infotainment systems and engine control has created the demand for fast booting in modern vehicles.
- ADAS is expected to remain the largest application segment due to increasing penetration of blind spot detection, adaptive cruise control, cross traffic alert, and automatic emergency braking functions in vehicles so as to reduce the number of accident cases and increasing adherence to stringent safety regulations.
- North America will remain the largest region due to rising preference for electric and connected vehicles, growing trend of autonomous vehicles, and the presence of key players in the region.
Features of the Automotive Memory Market
- Market Size Estimates: Automotive memory market size estimation in terms of value ($B)
- Trend And Forecast Analysis: Market trends (2017-2022) and forecast (2023-2028) by various segments and regions.
- Segmentation Analysis: Automotive memory market size by various segments, such as by product, vehicle type, application, and region
- Regional Analysis: Automotive memory market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
- Growth Opportunities: Analysis on growth opportunities in different products, vehicle types, applications, and regions for the automotive memory market.
- Strategic Analysis: This includes M&A, new product development, and competitive landscape for the automotive memory market.
- Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
FAQ
Answer: The global automotive memory market is expected to reach an estimated $4.02 billion by 2028.
Q2. What is the growth forecast for automotive memory market?
Answer: The global automotive memory market is expected to grow with a CAGR of 18% from 2023 to 2028.
Q3. What are the major drivers influencing the growth of the automotive memory market?
Answer: The major drivers for this market are growing demand for electric vehicles incorporated with advanced safety features, and rising integration of cloud technologies in vehicles.
Q4. What are the major segments for automotive memory market?
Answer: The future of the automotive memory market looks promising with opportunities in the infotainment system, powertrain, instrument cluster, and ADAS product segments.
Q6. Who are the key automotive memory companies?
Answer: Some of the key automotive memory companies are as follows:
- Toshiba
- Samsung
- Integrated Silicon
- Micron Technology
- Cypress Semiconductor (Infineon)
Answer: Lucintel forecasts that NOR will remain the largest product segment over the forecast period because the increasing usage of infotainment systems and engine control has created the demand for fast booting in modern vehicles.
Q8. In automotive memory market, which region is expected to be the largest in next 5 years?
Answer: North America will remain the largest region due to rising preference for electric and connected vehicles, growing trend of autonomous vehicles, and the presence of key players in the region.
Q9. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% Customization Without any Additional Cost.