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Global Automotive Smart Window Market to reach USD 7.27 billion by the end of 2030

Global Automotive Smart Window Market Size study & Forecast, by Technology (Electrochromic (EC), Polymer Dispersed Liquid Device (PDLC), Suspended Particle Device (SPD)), by Type (OLED Glass, Self-dimming Window, Self-Repairing), by Vehicle Type (Light Commercial Vehicles, Medium and Heavy Commercial Vehicles, Passenger Cars) and Regional Analysis, 2023-2030

Product Code: ALTAE-45510332
Publish Date: 15-11-2023
Page: 200

Global Automotive Smart Window Market is valued at approximately USD 1.68 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 20.1% over the forecast period 2023-2030. Automotive Smart Windows are an innovative technology designed to enhance the functionality and comfort of vehicles while also improving their energy efficiency. These windows are typically made with special materials or coatings that can change their opacity or tint in response to various factors such as sunlight, temperature, or user preferences. The Automotive Smart Window market is expanding because of factors such as the surge in demand for electric and hybrid vehicles, high demand from the passenger car segment, and rising demand for ADAS in automobiles.

The global automotive industry is undergoing a significant transformation towards electrification, with numerous automakers increasingly focusing on electric vehicle (EV) production. As EVs gain traction due to their environmental benefits and improved performance, automakers are striving to enhance the overall driving experience, which includes integrating advanced technologies such as smart windows. Smart windows in EVs not only enhance the vehicle’s aesthetics andalso contribute to energy efficiency by reducing the need for air conditioning, thus extending the driving range on a single charge. The International Energy Agency states that there were more than 16.5 million electric vehicles in use worldwide in 2021, an increase of 61% is 10.2 million units in the year 2020. Moreover, the U.S. Environmental Protection Agency announced new exhaust pollution limits in April 2023, mandating that 67% of newly registered vehicles in the U.S. be all-electric by 2032. In addition, as per Statista, in 2022, 57.5 million passenger automobiles were sold, representing a 1.9% increase year on year. In 2022, Chinese travelers purchased approximately 23.56 million passenger cars. Thus, the rising demand and adoption of electric vehicles and passenger cars are driving the market growth. Moreover, rising demand for advanced vehicle features and rising technological advancement are creating new opportunities for the market. However, the high cost of automotive smart windows stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Automotive Smart Window Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. In 2022, the Asia Pacific region exhibited market dominance driven by several factors, including the increasing embrace of electric vehicles, heightened government efforts to encourage electric vehicle telematics adoption and advancements in technology. Conversely, Europe is anticipated to witness substantial market growth, primarily due to the burgeoning automotive industry, robust government initiatives aimed at fostering electric vehicle adoption, and a growing emphasis on investments in connectivity and IoT integration within electric vehicles across the region.

Major market player included in this report are:
Corning Incorporated
Gentex Corporation
Hitachi, Ltd
Pleotint LLC
PPG Industries
Saint gobain View, Inc
Research Frontiers Inc.
Gauzy Ltd.

Recent Developments in the Market:
Ø In May 2022, AGC, Inc. introduced a novel panoramic roof featuring a low e-coating, designed to create an expansive and airy cabin atmosphere while effectively preserving a comfortable interior temperature. This innovation harnesses the exceptional solar control and enhanced heat insulation capabilities of Low-E coating technology, making it a valuable addition to the automotive industry.
Ø In April 2022, Audi revealed a collaborative venture with Reiling Glas Recycling, Saint-Gobain Glass, and Saint-Gobain Sekurit for an upcoming pilot initiative aimed at transforming standard window glass into smart windows.

Global Automotive Smart Window Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Technology, Type, Vehicle Type, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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 Technology:
Electrochromic (EC)
Polymer Dispersed Liquid Device (PDLC)
Suspended Particle Device (SPD)

By Type:
OLED Glass
Self-dimming Window

By Vehicle Type:
Light Commercial Vehicles
Medium and Heavy Commercial Vehicles
Passenger Cars

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Automotive Smart Window Market, by Region, 2020-2030 (USD Billion)
1.2.2. Automotive Smart Window Market, by Technology, 2020-2030 (USD Billion)
1.2.3. Automotive Smart Window Market, by Type, 2020-2030 (USD Billion)
1.2.4. Automotive Smart Window Market, by Vehicle Type, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automotive Smart Window Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automotive Smart Window Market Dynamics
3.1. Automotive Smart Window Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Surge in demand for electric and hybrid vehicles High demand from passenger car segment Rising demand for ADAS in automobiles.
3.1.2. Market Challenges High cost of automotive smart window
3.1.3. Market Opportunities Rising Demand for Advanced Vehicle Features Rising technological advancement
Chapter 4. Global Automotive Smart Window 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Automotive Smart Window Market, by Technology
5.1. Market Snapshot
5.2. Global Automotive Smart Window Market by Technology, Performance – Potential Analysis
5.3. Global Automotive Smart Window Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
5.4. Automotive Smart Window Market, Sub Segment Analysis
5.4.1. Electrochromic (EC)
5.4.2. Polymer Dispersed Liquid Device (PDLC)
5.4.3. Suspended Particle Device (SPD)
Chapter 6. Global Automotive Smart Window Market, by Type
6.1. Market Snapshot
6.2. Global Automotive Smart Window Market by Type, Performance – Potential Analysis
6.3. Global Automotive Smart Window Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
6.4. Automotive Smart Window Market, Sub Segment Analysis
6.4.1. OLED Glass
6.4.2. Self-dimming Window
6.4.3. Self-Repairing
Chapter 7. Global Automotive Smart Window Market, by Vehicle Type
7.1. Market Snapshot
7.2. Global Automotive Smart Window Market by Vehicle Type, Performance – Potential Analysis
7.3. Global Automotive Smart Window Market Estimates & Forecasts by Vehicle Type 2020-2030 (USD Billion)
7.4. Automotive Smart Window Market, Sub Segment Analysis
7.4.1. Light Commercial Vehicles
7.4.2. Medium and Heavy Commercial Vehicles
7.4.3. Passenger Cars
Chapter 8. Global Automotive Smart Window Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Automotive Smart Window Market, Regional Market Snapshot
8.4. North America Automotive Smart Window Market
8.4.1. U.S. Automotive Smart Window Market Technology breakdown estimates & forecasts, 2020-2030 Type breakdown estimates & forecasts, 2020-2030 Vehicle Type breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Automotive Smart Window Market
8.5. Europe Automotive Smart Window Market Snapshot
8.5.1. U.K. Automotive Smart Window Market
8.5.2. Germany Automotive Smart Window Market
8.5.3. France Automotive Smart Window Market
8.5.4. Spain Automotive Smart Window Market
8.5.5. Italy Automotive Smart Window Market
8.5.6. Rest of Europe Automotive Smart Window Market
8.6. Asia-Pacific Automotive Smart Window Market Snapshot
8.6.1. China Automotive Smart Window Market
8.6.2. India Automotive Smart Window Market
8.6.3. Japan Automotive Smart Window Market
8.6.4. Australia Automotive Smart Window Market
8.6.5. South Korea Automotive Smart Window Market
8.6.6. Rest of Asia Pacific Automotive Smart Window Market
8.7. Latin America Automotive Smart Window Market Snapshot
8.7.1. Brazil Automotive Smart Window Market
8.7.2. Mexico Automotive Smart Window Market
8.8. Middle East & Africa Automotive Smart Window Market
8.8.1. Saudi Arabia Automotive Smart Window Market
8.8.2. South Africa Automotive Smart Window Market
8.8.3. Rest of Middle East & Africa Automotive Smart Window Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Corning Incorporated Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Gentex Corporation
9.3.3. Hitachi, Ltd
9.3.4. Pleotint LLC
9.3.5. PPG Industries
9.3.6. RavenWindow
9.3.7. Saint gobain View, Inc
9.3.8. AGC INC.
9.3.9. Research Frontiers Inc.
9.3.10. Gauzy Ltd.
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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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
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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