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Global Power GaN Devices Market to reach USD 395.22 million by 2028

Global Power GaN Devices Market Size study, by Type (Integrated Power Device, Discrete Power Device), by Voltage (Below 200V, 200V to 600V, Above 600V) and Regional Forecasts 2022-2028

Product Code: EESC-41983050
Publish Date: 30-04-2022
Page: 200

Global Power GaN Devices Market is valued at approximately USD 110.3 million in 2021 and is anticipated to grow with a healthy growth rate of more than 20.00 % over the forecast period 2022-2028. Power GaN Devices or say Gallium nitride (GaN) transistors have evolved as an enhanced performance substitute of silicon-based transistors, owing to their ability to fabricate more compact devices for a given resistance value and breakdown voltage as compared to silicon devices. These power devices can attain extremely low-resistance and high-frequency switching. These properties are exploited in high-efficiency power supplies, electric vehicles (EV), hybrid electric vehicles (HEV), photovoltaic inverters, and RF switching. The increasing demand for fast switching devices and growing demand from EVs and mobility sectors has led to the adoption of Power GaN Devices across the forecast period. For Instance: as per the IBEF, EVs in India could represent a Rs 500 billion (US$ 7.09 billion) opportunity by 2025. Two- and three-wheelers will lead the electrification movement in India in the medium term. Also, with the government initiatives in HVDC and smart grid and increase in requirement of GaN devices for commercial RF applications, the adoption & demand for Power GaN Devices is likely to increase the market growth during the forecast period. However, lack of availability of GaN material and high costs impede the growth of the market over the forecast period of 2022-2028.

The key regions considered for the Global Power Gan Devices Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share owing to the heavy investment in smart grid technology to improve their electrical networks. Whereas, Asia-Pacific is also anticipated to exhibit the highest growth rate over the forecast period 2022-2028. Factors such as rising disposable income, environmental concerns would create lucrative growth prospects for the Power GaN Devices Market across Asia-Pacific region.

Major market players included in this report are:
VisIC Technologies
Texas Instruments
Efficient Power Conversion Corporation, Inc.
Fujitsu limited
GaN Power Inc.
GaN systems
Infineon Technologies
Navitas Semiconductor
On Semiconductors
Panasonic Corporation

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 Type:
Integrated Power Device
Discrete Power Device
By Voltage:
Below 200V
200V to 600V
Above 600V
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
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 Power GaN Devices 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
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Power GaN Devices Market, by Region, 2020-2028 (USD Billion)
1.2.2. Power GaN Devices Market, by Type, 2020-2028 (USD Billion)
1.2.3. Power GaN Devices Market, by Voltage, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Power GaN Devices 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 Power GaN Devices Market Dynamics
3.1. Power GaN Devices Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Increasing Demand for Fast Switching Devices
3.1.1.2. Growing Demand from EVs and Mobility Sector
3.1.2. Market Challenges
3.1.2.1. Lack of availability of GaN material
3.1.2.2. High Costs
3.1.3. Market Opportunities
3.1.3.1. Government initiatives in HVDC and smart grid
3.1.3.2. Increase in requirement of GaN devices for commercial RF applications
Chapter 4. Global Power GaN Devices 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. Economical
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 Power GaN Devices Market, by Type
6.1. Market Snapshot
6.2. Global Power GaN Devices Market by Type, Performance – Potential Analysis
6.3. Global Power GaN Devices Market Estimates & Forecasts by Type, 2019-2028 (USD Billion)
6.4. Power GaN Devices Market, Sub Segment Analysis
6.4.1. Integrated Power Device
6.4.2. Discrete Power Device
Chapter 7. Global Power GaN Devices Market, by Voltage
7.1. Market Snapshot
7.2. Global Power GaN Devices Market by Voltage, Performance – Potential Analysis
7.3. Global Power GaN Devices Market Estimates & Forecasts by Voltage, 2019-2028 (USD Billion)
7.4. Power GaN Devices Market, Sub Segment Analysis
7.4.1. Below 200V
7.4.2. 200V to 600V
7.4.3. Above 600V
Chapter 8. Global Power GaN Devices Market, Regional Analysis
8.1. Power GaN Devices Market, Regional Market Snapshot
8.2. North America Power GaN Devices Market
8.2.1. U.S. Power GaN Devices Market
8.2.1.1. Type breakdown estimates & forecasts, 2019-2028
8.2.1.2. Voltage breakdown estimates & forecasts, 2019-2028
8.2.2. Canada Power GaN Devices Market
8.3. Europe Power GaN Devices Market Snapshot
8.3.1. U.K. Power GaN Devices Market
8.3.2. Germany Power GaN Devices Market
8.3.3. France Power GaN Devices Market
8.3.4. Spain Power GaN Devices Market
8.3.5. Italy Power GaN Devices Market
8.3.6. Rest of Europe Power GaN Devices Market
8.4. Asia-Pacific Power GaN Devices Market Snapshot
8.4.1. China Power GaN Devices Market
8.4.2. India Power GaN Devices Market
8.4.3. Japan Power GaN Devices Market
8.4.4. Australia Power GaN Devices Market
8.4.5. South Korea Power GaN Devices Market
8.4.6. Rest of Asia Pacific Power GaN Devices Market
8.5. Latin America Power GaN Devices Market Snapshot
8.5.1. Brazil Power GaN Devices Market
8.5.2. Mexico Power GaN Devices Market
8.6. Rest of The World Power GaN Devices Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. VisIC Technologies
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Texas Instruments
9.2.3. Efficient Power Conversion Corporation, Inc.
9.2.4. Fujitsu limited
9.2.5. GaN Power Inc.
9.2.6. GaN systems
9.2.7. Infineon Technologies
9.2.8. Navitas Semiconductor
9.2.9. On Semiconductors
9.2.10. Panasonic Corporation
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:
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.
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