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Global Automotive Upholstery Market to reach USD 9.95 billion by 2028.

Global Automotive Upholstery Market Size study, by Material (Leather, Vinyl, Other Material Types) by Product (Dashboard, Seats, Roof Liners, Door Trim) and Regional Forecasts 2022-2028

Product Code: ALTAMC-33868465
Publish Date: 10-05-2022
Page: 200

Global Automotive Upholstery Market is valued approximately at USD 6.40 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 6.5 % over the forecast period 2022-2028. Upholstery is defined as the cloth, leather, etc. that covers a couch, chair, seat, etc. and the process or business of covering pieces of furniture with the cloth, leather, etc. The growing automotive industry and increasing demand for Lightweight automotive materials has led the adoption of automotive upholstery across the forecast period. The growing automotive industry resukt in increasing demand for advanced automotive technologies and automotive interiors. For Instance: as per the IBEF in 2020, India was the fifth-largest auto market, with 3.49 million units combined sold in the passenger and commercial vehicles categories. It was the seventh-largest manufacturer of commercial vehicles in 2019. Also, with the Increasing Use of Non-Woven Fabrics and development of autonomous vehicles to present new opportunities for automotive interior design the adoption & demand for Automotive upholstery is likely to increase the market growth during the forecast period. However, volatility in raw material prices and stringent government mandates to reduce hap emissions impedes the growth of the market over the forecast period of 2022-2028.

The key regions considered for the Global Automotive Upholstery Market study includes Asia Pacific, North America, Europe, Latin America and Rest of the World. Europe is the leading region across the world in terms of market share owing to the increasing demand for advanced automotive technologies and automotive interiors, rising focus on lightweight automotive materials. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate over the forecast period 2022-2028. Factors such as rising focus on lightweight automotive materials, and the development of a varied non-fabric substitutes for automotive upholstery across Asia-Pacific region.

Major market player included in this report are:
Volkswagen AG
Adient PLC
Toyota Boshoku Corporation
Faurecia SE
CMI Enterprises (JKSP Solutions)
IMS Nonwoven
Katzkin Leather Inc. (Stahl Holdings BV)
Lear Corporation
Seiren Co. Ltd
The Woodbridge Group

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Material:
Other Material Types
By Product:
Roof Liners
Door Trim
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Automotive Upholstery Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Automotive Upholstery Market, by region, 2020-2028 (USD Billion)
1.2.2. Automotive Upholstery Market, by Material, 2020-2028 (USD Billion)
1.2.3. Automotive Upholstery Market, by Product, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automotive Upholstery Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automotive Upholstery Market Dynamics
3.1. Automotive Upholstery Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Growing automotive industry Increasing demand for lightweight automotive materials
3.1.2. Market Challenges Volatility in raw material prices Stringent Government Mandates to Reduce Hap Emissions
3.1.3. Market Opportunities Increasing use of non-woven fabrics Development of Autonomous Vehicles to Present New Opportunities for Automotive Interior Design
Chapter 4. Global Automotive Upholstery Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2019-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Automotive Upholstery Market, by Material
6.1. Market Snapshot
6.2. Global Automotive Upholstery Market by Material, Performance – Potential Analysis
6.3. Global Automotive Upholstery Market Estimates & Forecasts by Material 2019-2028 (USD Billion)
6.4. Automotive Upholstery Market, Sub Segment Analysis
6.4.1. Leather
6.4.2. Vinyl
6.4.3. Other Material Types
Chapter 7. Global Automotive Upholstery Market, by Product
7.1. Market Snapshot
7.2. Global Automotive Upholstery Market by Product, Performance – Potential Analysis
7.3. Global Automotive Upholstery Market Estimates & Forecasts by Product 2019-2028 (USD Billion)
7.4. Automotive Upholstery Market, Sub Segment Analysis
7.4.1. Dashboard
7.4.2. Seats
7.4.3. Roof Liners
7.4.4. Door Trim
Chapter 8. Global Automotive Upholstery Market, Regional Analysis
8.1. Automotive Upholstery Market, Regional Market Snapshot
8.2. North America Automotive Upholstery Market
8.2.1. U.S. Automotive Upholstery Market Material breakdown estimates & forecasts, 2019-2028 Product breakdown estimates & forecasts, 2019-2028
8.2.2. Canada Automotive Upholstery Market
8.3. Europe Automotive Upholstery Market Snapshot
8.3.1. U.K. Automotive Upholstery Market
8.3.2. Germany Automotive Upholstery Market
8.3.3. France Automotive Upholstery Market
8.3.4. Spain Automotive Upholstery Market
8.3.5. Italy Automotive Upholstery Market
8.3.6. Rest of Europe Automotive Upholstery Market
8.4. Asia-Pacific Automotive Upholstery Market Snapshot
8.4.1. China Automotive Upholstery Market
8.4.2. India Automotive Upholstery Market
8.4.3. Japan Automotive Upholstery Market
8.4.4. Australia Automotive Upholstery Market
8.4.5. South Korea Automotive Upholstery Market
8.4.6. Rest of Asia Pacific Automotive Upholstery Market
8.5. Latin America Automotive Upholstery Market Snapshot
8.5.1. Brazil Automotive Upholstery Market
8.5.2. Mexico Automotive Upholstery Market
8.6. Rest of The World Automotive Upholstery Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Volkswagen AG Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Adient PLC
9.2.3. Toyota Boshoku Corporation
9.2.4. Faurecia SE
9.2.5. CMI Enterprises (JKSP Solutions)
9.2.6. IMS Nonwoven
9.2.7. Katzkin Leather Inc. (Stahl Holdings BV)
9.2.8. Lear Corporation
9.2.9. Seiren Co. Ltd
9.2.10. The Woodbridge Group
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Data Collection:
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Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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