Automotive Interior Market By Component Type-
Automotive Interior Market By Material-
Automotive Interior Market By Level of Autonomy-
Automotive Interior Market By Electric Vehicle-
Automotive Interior Market By Passenger Car Class-
Automotive Interior Market By ICE Vehicle Type-
Automotive Interior Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Automotive Interior Market Snapshot
Chapter 4. Global Automotive Interior Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: By Component Type Estimates & Trend Analysis
5.1. By Component Type, & Market Share, 2020 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Component Type:
5.2.1. Center Stack
5.2.2. Head-Up Display
5.2.3. Instrument Cluster
5.2.4. Rear Sear Entertainment
5.2.5. Dome Module
5.2.6. Headliner
5.2.7. Seat
5.2.8. Interior Lighting
5.2.9. Door Panel
5.2.10. Center Console
5.2.11. Adhesives & tapes
5.2.12. Upholstery
5.2.13. Others
Chapter 6. Market Segmentation 2: By Material Estimates & Trend Analysis
6.1. By Material & Market Share, 2020 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Material:
6.2.1. Leather
6.2.2. Fabric
6.2.3. Vinyl
6.2.4. Wood
6.2.5. Glass Fiber Composite
6.2.6. Carbon Fiber Composite
6.2.7. Metal
Chapter 7. Market Segmentation 3: By Level of Autonomy Estimates & Trend Analysis
7.1. By Level of Autonomy & Market Share, 2020 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Level of Autonomy:
7.2.1. Semi-Autonomous
7.2.2. Autonomous
7.2.3. Non-autonomous
Chapter 8. Market Segmentation 4: By Electric Vehicle Estimates & Trend Analysis
8.1. By Electric Vehicle & Market Share, 2020 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Electric Vehicle:
8.2.1. Battery Electric Vehicle (BEV)
8.2.2. Fuel Cell Electric Vehicle (FCEV)
8.2.3. Hybrid Electric Vehicle (HEV)
8.2.4. Pulg-in Hybrid Electric Vehicle (PHEV)
Chapter 9. Market Segmentation 5: By Passenger Car Class Estimates & Trend Analysis
9.1. By Passenger Car Class & Market Share, 2020 & 2031
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By Passenger Car Class:
9.2.1. Economic cars
9.2.2. Mid Segment Cars
9.2.3. Luxury Segment cars
Chapter 10. Market Segmentation 6: By ICE Vehicle Type Estimates & Trend Analysis
10.1. By ICE Vehicle Type & Market Share, 2020 & 2031
10.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2020 to 2031 for the following By ICE Vehicle Type:
10.2.1. Passenger Car
10.2.2. Light Commercial Vehicle
10.2.3. Heavy Commercial Vehicle
Chapter 11. Automotive Interior Market Segmentation 7: Regional Estimates & Trend Analysis
11.1. North America
11.1.1. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By Component Level of Autonomy, 2019-2031
11.1.2. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By Material, 2019-2031
11.1.3. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By Level of Autonomy, 2019-2031
11.1.4. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By Electric Vehicle, 2019-2031
11.1.5. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By Passenger Car Class, 2019-2031
11.1.6. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts By ICE Vehicle Type, 2019-2031
11.1.7. North America Automotive Interior Market revenue (US$ Million) estimates and forecasts by country, 2019-2031
11.2. Europe
11.2.1. Europe Automotive Interior Market revenue (US$ Million) By Component Level of Autonomy, 2019-2031
11.2.2. Europe Automotive Interior Market revenue (US$ Million) By Material, 2019-2031
11.2.3. Europe Automotive Interior Market revenue (US$ Million) By Level of Autonomy, 2019-2031
11.2.4. Europe Automotive Interior Market revenue (US$ Million) By Electric Vehicle, 2019-2031
11.2.5. Europe Automotive Interior Market revenue (US$ Million) By Passenger Car Class, 2019-2031
11.2.6. Europe Automotive Interior Market revenue (US$ Million) By ICE Vehicle Type, 2019-2031
11.2.7. Europe Automotive Interior Market revenue (US$ Million) by country, 2019-2031
11.3. Asia Pacific
11.3.1. Asia Pacific Automotive Interior Market revenue (US$ Million) By Component Level of Autonomy, 2019-2031
11.3.2. Asia Pacific Automotive Interior Market revenue (US$ Million) By Material, 2019-2031
11.3.3. Asia Pacific Automotive Interior Market revenue (US$ Million) By Level of Autonomy, 2019-2031
11.3.4. Asia Pacific Automotive Interior Market revenue (US$ Million) By Electric Vehicle, 2019-2031
11.3.5. Asia Pacific Automotive Interior Market revenue (US$ Million) By Passenger Car Class, 2019-2031
11.3.6. Asia Pacific Automotive Interior Market revenue (US$ Million) By ICE Vehicle Type, 2019-2031
11.3.7. Asia Pacific Automotive Interior Market revenue (US$ Million) by country, 2019-2031
11.4. Latin America
11.4.1. Latin America Automotive Interior Market revenue (US$ Million) By Component Level of Autonomy, (US$ Million) 2019-2031
11.4.2. Latin America Automotive Interior Market revenue (US$ Million) By Material, (US$ Million) 2019-2031
11.4.3. Latin America Automotive Interior Market revenue (US$ Million) By Level of Autonomy, (US$ Million) 2019-2031
11.4.4. Latin America Automotive Interior Market revenue (US$ Million) By Electric Vehicle, (US$ Million) 2019-2031
11.4.5. Latin America Automotive Interior Market revenue (US$ Million) By Passenger Car Class, (US$ Million) 2019-2031
11.4.6. Latin America Automotive Interior Market revenue (US$ Million) By ICE Vehicle Type, (US$ Million) 2019-2031
11.4.7. Latin America Automotive Interior Market revenue (US$ Million) by country, 2019-2031
11.5. Middle East & Africa
11.5.1. Middle East & Africa Automotive Interior Market revenue (US$ Million) By Component Level of Autonomy, (US$ Million) 2019-2031
11.5.2. Middle East & Africa Automotive Interior Market revenue (US$ Million) By Material, (US$ Million) 2019-2031
11.5.3. Middle East & Africa Automotive Interior Market revenue (US$ Million) By Level of Autonomy, (US$ Million) 2019-2031
11.5.4. Middle East & Africa Automotive Interior Market revenue (US$ Million) By Electric Vehicle, (US$ Million) 2019-2031
11.5.5. Middle East & Africa Automotive Interior Market revenue (US$ Million) By Passenger Car Class, (US$ Million) 2019-2031
11.5.6. Middle East & Africa Automotive Interior Market revenue (US$ Million) By ICE Vehicle Type, (US$ Million) 2019-2031
11.5.7. Middle East & Africa Automotive Interior Market revenue (US$ Million) by country, 2019-2031
Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances
12.2. Company Profiles
12.2.1. Samvardhana Motherson Group (Smp Deutschland Gmbh)
12.2.2. Toyota Boshoku Corporation
12.2.3. Continental Ag
12.2.4. Lear Corporation
12.2.5. Robert Bosch Gmbh
12.2.6. Hyundai Mobis
12.2.7. Adient Plc.
12.2.8. Denso Corporation
12.2.9. ZF Friedrichshafen AG
12.2.10. Panasonic Holdings Corporation
12.2.11. Valeo
12.2.12. Draxlmaier
12.2.13. Nippon Seiki Co., Ltd.
12.2.14. Yazaki Corporation
12.2.15. Alps Alpine Co., Ltd.
12.2.16. Jvckenwood Corporation
12.2.17. Renesas Electronics Corporation
12.2.18. Toshiba Corporation
12.2.19. Japan Display, Inc.
12.2.20. Mitsubishi Electric Corporation
12.2.21. Texas Instruments
12.2.22. Nvidia Corporation
12.2.23. Magna International Inc.
12.2.24. Harman International
12.2.25. Saint-Gobain
12.2.26. Pioneer Corporation
12.2.27. Tomtom International
12.2.28. Visteon Corporation
12.2.29. Fujitsu Limited
12.2.30. Ford Motor Company
12.2.31. General Motors
12.2.32. Audi AG
12.2.33. BMW AG
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.