ccording to www.techsciresearch.com latest Report- Global automotive memory market is anticipated to grow at a double digit CAGR through 2025 on account of growing use of memory bundles in automobiles coupled with growing popularity of connected devices.
Report URL- https://www.techsciresearch.com/report/automotive-memory-market/4342.html
2. 2
Scope of Report
Product of Interest (POI): Automotive Memory Market
Review Period
2015 – 2018
Base Year
2019
Estimated Year
2020
Forecast Period
2021 – 2025
Year Range
REGION
• Asia-Pacific
• Europe
• North America
• South America
• Middle East & Africa
Global automotive memory market is anticipated to grow at a double digit CAGR until 2025 on account of
growing use of memory bundles in automobiles coupled with growing popularity of connected devices.
Surging demand for automotive telematics is responsible for increasing proliferation of internet of things,
which is expected to ramp up the demand for automotive memory over the coming years. New
automotive vehicles now come pre-equipped with latest features including advanced driver assistant
system (ADAS), predictive and self-intelligence systems and all these features require automotive
microcontroller. Automotive microcontrollers come equipped with memory for the storage and data
transfer. Growing demand for such features is contributing to the increasing requirement of automotive
memory, which is anticipated to drive the market during forecast period.
Market Segmentation
VEHICLE TYPE
• Passenger Car
• Commercial Vehicle
PRODUCT
• DRAM
• NAND
• NOR
• Flash
• Others
APPLICATION
• Infotainment &
Connectivity
• ADAS
• Others
3. 3
Table of Contents
S. No. Contents Page No.
1. Product Overview
2. Research Methodology
3. Executive Summary
4. Voice of Customer
5. Global Automotive Memory Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Product (DRAM, NAND, NOR, Flash, Others)
5.2.2. By Vehicle Type (Passenger Car, Commercial Vehicle)
5.2.3. By Application (Infotainment & Connectivity, ADAS, Others)
5.2.4. By Company (2019)
5.2.5.
By Region (Asia-Pacific, Europe, North America, South America, Middle East &
Africa)
5.3. Product Market Map
6. Asia-Pacific Automotive Memory Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
4. 4
S. No. Contents Page No.
6.2.1. By Product
6.2.2. By Vehicle Type
6.2.3. By Country (India, China, Japan, South Korea, Singapore)
6.3. Asia Pacific: Country Analysis
6.3.1. India Automotive Memory Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Product
6.3.1.2.2. By Vehicle Type
6.3.2. China Automotive Memory Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Product
6.3.2.2.2. By Vehicle Type
6.3.3. Japan Automotive Memory Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
Table of Contents
5. 5
S. No. Contents Page No.
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Product
6.3.3.2.2. By Vehicle Type
6.3.4. South Korea Automotive Memory Market Outlook
6.3.4.1. Market Size & Forecast
6.3.4.1.1. By Value
6.3.4.2. Market Share & Forecast
6.3.4.2.1. By Product
6.3.4.2.2. By Vehicle Type
6.3.5. Singapore Automotive Memory Market Outlook
6.3.5.1. Market Size & Forecast
6.3.5.1.1. By Value
6.3.5.2. Market Share & Forecast
6.3.5.2.1. By Product
6.3.5.2.2. By Vehicle Type
7. Europe Automotive Memory Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
Table of Contents
6. 6
S. No. Contents Page No.
7.2.1. By Product
7.2.2. By Vehicle Type
7.2.3. By Country (United Kingdom, Germany, France, Italy, Spain)
7.3. Europe : Country Analysis
7.3.1. United Kingdom Automotive Memory Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Product
7.3.1.2.2. By Vehicle Type
7.3.2. Germany Automotive Memory Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Product
7.3.2.2.2. By Vehicle Type
7.3.3. France Automotive Memory Market Outlook
7.3.3.1. Market Size & Forecast
Table of Contents
7. 7
S. No. Contents Page No.
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Product
7.3.3.2.2. By Vehicle Type
7.3.4. Italy Automotive Memory Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Product
7.3.4.2.2. By Vehicle Type
7.3.5. Spain Automotive Memory Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Product
7.3.5.2.2. By Vehicle Type
8. North America Automotive Memory Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
Table of Contents
8. 8
S. No. Contents Page No.
8.2. Market Share & Forecast
8.2.1. By Product
8.2.2. By Vehicle Type
8.2.3. By Country (United States, Canada, Mexico)
8.3. North America: Country Analysis
8.3.1. United States Automotive Memory Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Product
8.3.1.2.2. By Vehicle Type
8.3.2. Canada Automotive Memory Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Product
8.3.2.2.2. By Vehicle Type
8.3.3. Mexico Automotive Memory Market Outlook
Table of Contents
9. 9
S. No. Contents Page No.
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Product
8.3.3.2.2. By Vehicle Type
9. South America Automotive Memory Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Product
9.2.2. By Vehicle Type
9.2.3. By Country (Brazil, Argentina, Colombia)
9.3. Middle East & Africa: Country Analysis
9.3.1. Brazil Automotive Memory Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Product
Table of Contents
10. 10
S. No. Contents Page No.
9.3.1.2.2. By Vehicle Type
9.3.2. Argentina Automotive Memory Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Product
9.3.2.2.2. By Vehicle Type
9.3.3. Colombia Automotive Memory Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Product
9.3.3.2.2. By Vehicle Type
10. Middle East & Africa Automotive Memory Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Product
10.2.2. By Vehicle Type
Table of Contents
11. 11
S. No. Contents Page No.
10.2.3. By Country (South Africa, Saudi Arabia, UAE)
10.3. South America: Country Analysis
10.3.1. South Africa Automotive Memory Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Product
10.3.1.2.2. By Vehicle Type
10.3.2. Saudi Arabia Automotive Memory Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Product
10.3.2.2.2. By Vehicle Type
10.3.3. UAE Automotive Memory Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
Table of Contents
12. 12
S. No. Contents Page No.
10.3.3.2.1. By Product
10.3.3.2.2. By Vehicle Type
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
13. Competitive Landscape
14. Strategic Recommendations
15. About Us & Distributor
Table of Contents
14. 14
Research Methodology
Identifying Key Opinion
Leaders
Questionnaire Design
In-depth Interviews
Data
Collection
Developing List
of Respondents
Formulating
Questionnaire
Market
Profiling
Data
Validation
Data
Analysis
In-depth secondary
research was conducted to
determine top players in
the global automotive
memory market, overall
market size and segmental
market size.
In order to conduct
industry experts’
interviews, TechSci
formulated a detailed
discussion guide.
List of industry
players and industry
specialists was
developed.
TechSci conducted
interviews with
industry experts and
industry players for
data collection and
verification.
Data obtained as a
result of primary
and secondary
research was
validated through
rigorous
triangulation.
The data was scrutinized
using MS-Excel, statistical
tools and internal
proprietary database to
obtain qualitative and
quantitative insights about
the global automotive
memory market.
Data
Collection
Data Filter
& Analysis
Research &
Intelligence
Actionable
Insights
Business
Solution
Primary Research Desk Research Company Analysis
Recent Developments
Market Changing
Aspects/Dynamics
Government Policies
Conclusion
Market Participants
Key Strengths
LinkedIn
TechSci Internal
Database
Factiva
Hoovers
Paid Sources
Company Websites
Company Annual
Reports
White Paper Study
Financial Reports
Investor
Presentations
Regulatory Body
Associations, etc.
Secondary
Research
Primary Research
15. 15
Research Methodology
Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of the global automotive memory market. The team
of this market, while considering the major influencing factors such as the surging demand for automotive telematics which is
The study includes market forecasting, which would enable our clients to take better decisions while planning their strategy to achieve
market.
Methodology Followed for Calculation of Market Size:
• Market Size by Value: Market size, in terms of value, for the year 2019 was calculated based on information collected through
exhaustive secondary research and primary surveys, with various key opinion leaders/stakeholders, such as automotive memory
influencers & end users, industry experts, and other industry participants.
• The team interviewed more than 15 – 20 automotive memory market companies, 100 – 120 end users, and 15 – 20 industry experts
automotive memory market to obtain the overall market size from 2015 to 2019, which was validated by the Delphi technique.
market size was averaged out, to arrive at the market size data during 2015-2019.
16. 16
Research Methodology
• Respondents were asked about the current and future market growth rates, market shares by product, by vehicle type, by application, by company and by region. Removing the
outlier responses, the geometric mean of growth estimates and provider wise revenue shares generated across various segments were considered, to arrive at the final revenue
shares. Revenue shares generated across various segments were further triangulated from other stakeholders.
Methodology Followed for Calculation of Market Shares:
• Market by product, by vehicle type, by application, by company and by region were calculated based on the responses received through primary surveys with industry experts, in
which the respondents were asked about the market shares or revenue generated from various segments of automotive memory markets. The final shares were calculated by taking
the geometric mean of the responses gathered from key opinion leaders after eliminating the outliers.
Methodology Followed for Forecasting:
• TechSci Research performed periodical checks on data collected through the surveys with logic checks and analyzed the survey results in SPSS/Tableau Software.
• Data triangulation techniques were applied to fill the gaps and to present a more meaningful picture of the market. To forecast global automotive memory market, TechSci Research
used various forecast techniques such as:
Moving Average
Time Series Analysis
Regression Analysis
Econometric and Judgmental Analysis
17. 17
Research Methodology
TechSci Research used its own forecast tool, which is based on the growth of various allied industries in respective regions. TechSci Research also used the impact analysis during
short, medium and long term period to estimate the demand and to reach accurate market numbers. It should be noted that the figures compiled are only for the organized market
including market share data. The currency used in the report is the United States Dollar (USD), with the market size indicated in USD million.
Partial List of Companies Interviewed Key Secondary Sources
Micron Technology Inc.
Samsung Electronics Co., Ltd.
Toshiba Corporation
Cypress Semiconductor Corporation
NXP Semiconductors N.V.
Integrated Silicon Solution, Inc.
STMicroelectronics
Texas Instruments Incorporated
Qualcomm Incorporated
MediaTek Inc.
World Bank
TechSci Research Proprietary Database & Knowledge Repository
Company Annual Reports
Industry Magazines
Industry Reports
News Dailies
Credible Paid Databases
18. 18
INDUSTRY BRIEF
According to TechSci Research report, “Global Automotive Memory Market By Product, By Vehicle Type, By Application, By Region, Competition, Forecast &
Opportunities, 2025”, the global automotive memory market is expected to grow at impressive rate during the forecast period on account of growing
implementation of automotive microcontrollers in vehicles and other technological advancements in automotive electronics sector. Increasing demand for remote
connectivity is contributing to the development of automotive telematics for offerings such as vehicle to vehicle & vehicle to infrastructure communication, which
require microcontrollers and sensors for the transfer of information to other vehicles or nodes.
Automotive memory market, globally, can be segmented based on product, vehicle type, application, company and region. In terms of vehicle type, passenger
car dominated the automotive market and the trend is forecast to continue over the next five years as well. This is due to high demand for passenger car which
can be attributed to increasing disposable income and growing middle-class population. Furthermore, growing traction of software driven features in latest
vehicles is expected to boost the demand for automotive memory market through 2025.
Micron Technology Inc., Samsung Electronics Co., Ltd., Toshiba Corporation, Cypress Semiconductor Corporation, NXP Semiconductors N.V., Integrated
Silicon Solution, Inc., STMicroelectronics, Texas Instruments Incorporated, Qualcomm Incorporated and MediaTek Inc., among others are the leading players
operating in global automotive memory market. The companies operating in the market are using organic strategies such as product launches, mergers and
collaborations to boost their share. For instance, during early 2019, Micron Technologies Inc. announced its collaboration with Qualcomm to enable 5G
automotive platform for next generation vehicles.
“Asia-Pacific is expected to witness extensive adoption of automotive memory until 2025 due to high production and sales of vehicles in the region. Strict safety
norms in countries such as India, China and Japan are contributing towards the increasing demand for greater safety, driver auto assist capabilities and
communication between vehicles, which is elevating the average memory content per vehicles, contributing to the growing market size of automotive memory.”
said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.
19. 19
SAMPLE DATA - SNAPSHOT
Global Automotive Memory Market Size, By Value (USD Million), 2015-2025F
5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00
2015 2019 2020E 2025F
By Value (USD Million)
CAGR By Value CAGR By Value
XX% YY%
North America Automotive Memory Market Share, By Product, By Value, 2015–2025F
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
20%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
DRAM NAND NOR Flash Others
United States Automotive Memory Market Share, By Vehicle Type, By Value, 2015–2025F
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Passenger Car Commercial Vehicle
20. 20
REPORT ORDERING
Report Name: GLOBAL AUTOMOTIVE MEMORY MARKET
FORECAST & OPPORTUNITIES
2015 – 2025
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number of areas to organizations. The company uses innovative business models that focus on improving productivity, while ensuring creation of high-quality
analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global
company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.
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