[시장보고서]지능형 파워 모듈 시장 : 업계 동향과 세계 예측(-2035년) - 파워 디바이스 유형별, 정격전압 유형별, 전류 유형별, 컨피규레이션 유형별, 응용 영역별, 최종사용자 유형별, 지역별

지능형 파워 모듈 시장 : 업계 동향과 세계 예측(-2035년) - 파워 디바이스 유형별, 정격전압 유형별, 전류 유형별, 컨피규레이션 유형별, 응용 영역별, 최종사용자 유형별, 지역별

Intelligent Power Module Market, Till 2035: Distribution by Type of Power Device, Type of Voltage Rating, Type of Current, Type of Configuration, Area of Application, Type of End User, Geographical Regions: Industry Trends and Global Forecasts

상품코드 : 1857190

리서치사 : Roots Analysis

발행일 : On Demand Report

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한글목차

샘플 요청 목록에 추가

세계의 지능형 파워 모듈 시장 규모는 현재 22억 2,000만 달러에서 2035년까지 63억 6,000만 달러로 성장하며, 2035년까지의 예측 기간 중 CAGR 10.03%로 성장할 것으로 예측됩니다.

지능형 전력 모듈 시장의 기회는 다음과 같은 부문에 분포되어 있습니다.

파워 디바이스 유형

절연 게이트 양극성 트랜지스터
금속 산화물막 반도체 전계효과 트랜지스터

정격전압 유형

600V 미만
601V-1200V
1200V 이상

정격 전류

최대 100A
101A에서 600A까지
600A 이상

구성

6팩 IPM
7팩 IPM
10팩 IPM

용도

자동차
가전제품
산업용
재생에너지
기타

최종사용자

상업
산업
주택

지역

북미
미국
캐나다
멕시코
기타 북미 국가
유럽
오스트리아
벨기에
덴마크
프랑스
독일
아일랜드
이탈리아
네덜란드
노르웨이
러시아
스페인
스웨덴
스위스
영국
기타 유럽 국가
아시아
중국
인도
일본
싱가포르
한국
기타 아시아 국가
라틴아메리카
브라질
칠레
콜롬비아
베네수엘라
기타 라틴아메리카 국가
중동 및 북아프리카
이집트
이란
이라크
이스라엘
쿠웨이트
사우디아라비아
아랍에미리트
기타 MENA 국가
세계 기타 지역
호주
뉴질랜드
기타 국가

지능형 전력모듈 시장 성장 및 동향

IPM은 절연 게이트 양극성 트랜지스터(IGBT), 금속-산화막-반도체 전계효과 트랜지스터(MOSFET) 등의 개별 반도체를 보호 회로, 게이트 드라이버, 통신 인터페이스와 결합한 첨단 전력전자 부품입니다. 이 모듈은 여러 기능을 하나의 유닛에 통합하여 시스템 설계를 간소화하고, 성능 효율을 높이며, 복잡성을 최소화합니다. 이러한 장점으로 인해 IPM은 모터 구동, 산업 자동화, 재생에너지 시스템, 전기자동차 등 다양한 분야에서 필수적인 요소로 자리 잡고 있으며, 회로 구성 동향에 따라 세계 시장 성장을 주도하고 있습니다.

최근 에너지 효율과 지속가능성에 대한 관심이 높아지면서 산업계 전반에 걸쳐 신뢰할 수 있는 전력 관리 솔루션에 대한 요구가 증가함에 따라 전력 사용을 최적화하는 IPM의 중요성이 부각되고 있습니다. 시스템의 신뢰성을 높이고 총 시스템 비용을 절감하는 IPM의 능력은 IPM을 파워 일렉트로닉스의 진화를 형성하는 중요한 원동력으로 자리매김하고 있습니다. 그 결과, 경쟁 우위를 강화하고 산업 발전을 촉진하기 위해 IPM 기술을 채택하는 기업이 증가하고 있습니다.

또한 고급 제어 알고리즘, 효율적인 열 관리 시스템, 강력한 보호 메커니즘의 통합은 예측 기간 중 IPM 시장의 성장을 크게 촉진할 것으로 예측됩니다. 지능형 전력 모듈의 혁신 가능성을 인식하고 이를 도입하기 위해 전략적으로 투자하는 기업은 새로운 기회를 활용하고 진화하는 세계 에너지 환경에서 주도적인 위치를 유지할 가능성이 높습니다.

영문목차

Intelligent Power Module Market Overview

As per Roots Analysis, the global intelligent power module market size is estimated to grow from USD 2.22 billion in the current year USD 6.36 billion by 2035, at a CAGR of 10.03% during the forecast period, till 2035.

The opportunity for intelligent power module market has been distributed across the following segments:

Type of Power Device

Insulated Gate Bipolar Transistor
Metal-Oxide-Semiconductor-Field-Effect Transistor

Type of Voltage Rating

Up to 600V
601V to1200V
Above 1200V

Type of Current

Up to 100A
101A to 600A
Above 600A

Type of Configuration

6 Pack IPM
7 Pack IPM
10 Pack IPM

Area of Application

Automotive
Consumer Electronics
Industrial
Renewable Energy
Others

Type of End-User

Commercial
Industrial
Residential

Geographical Regions

North America
US
Canada
Mexico
Other North American countries
Europe
Austria
Belgium
Denmark
France
Germany
Ireland
Italy
Netherlands
Norway
Russia
Spain
Sweden
Switzerland
UK
Other European countries
Asia
China
India
Japan
Singapore
South Korea
Other Asian countries
Latin America
Brazil
Chile
Colombia
Venezuela
Other Latin American countries
Middle East and North Africa
Egypt
Iran
Iraq
Israel
Kuwait
Saudi Arabia
UAE
Other MENA countries
Rest of the World
Australia
New Zealand
Other countries

Intelligent Power Module Market: Growth and Trends

An IPM is an advanced power electronic component that combines discrete semiconductor, such as insulated gate bipolar transistors (IGBTs) or metal-oxide-semiconductor field-effect transistors (MOSFETs), with protection circuits, gate drivers, and communication interfaces. By integrating multiple functionalities into a single unit, these modules streamline system design, enhance performance efficiency, and minimize complexity. Owing to these benefits, IPMs are becoming essential across a wide range of applications, including motor drives, industrial automation, renewable energy systems, and electric vehicles, thereby driving global market growth based on circuit configuration trends.

In recent years, the rising focus on energy efficiency, sustainability, and the need for reliable power management solutions across industries has underscored the significance of IPMs in optimizing power usage. Their ability to enhance system reliability and reduce total system costs further positions them as key enablers in shaping the evolution of power electronics. As a result, more companies are adopting IPM technologies to strengthen their competitive advantage and drive industry progress.

Furthermore, the integration of advanced control algorithms, efficient thermal management systems, and robust protection mechanisms is expected to propel the IPM market's growth substantially over the forecast period. Organizations that recognize the transformative potential of intelligent power modules and strategically invest in their adoption are likely to harness emerging opportunities and maintain a leading position in the evolving global energy landscape.

Intelligent Power Module Market: Key Segments

Market Share by Type of Power Device

Based on type of power device, the global intelligent power module market is segmented into insulated gate bipolar transistors and metal-oxide-semiconductor field-effect transistors. According to our estimates, currently, the insulated gate bipolar transistor (IGBP) segment captures the majority of the market share. This dominance is driven by the widespread adoption of IGBTs, due to their high switching speeds and superior current-handling capabilities. They are widely utilized in applications requiring both high voltage and high current management, such as motor drives, inverters, power supplies, and various industrial systems.

Conversely, the MOSFET segment is expected to grow at a higher CAGR during the forecast period, owing to its benefits such as high switching speeds, low resistance, and efficiency, which make them suitable for a variety of applications like amplifiers, digital circuits, and power suppliers.

Market Share by Type of Voltage Rating

Based on type of voltage rating, the global intelligent power module market is segmented into up to 600V, 601V to 1200V, and above 1200V. According to our estimates, currently, the up to 600V segment captures the majority of the market share. This growth is driven by the rising application of up to 600V voltage ratings in consumer electronics.

Conversely, the 601V to 1200V segment is expected to grow at a higher CAGR during the forecast period. The extensive utilization of this voltage range in industrial motors, renewable energy systems, and other power supply applications is expected to facilitate growth in this segment.

Market Share by Type of Current

Based on type of current, the global intelligent power module market is segmented into up to 100A, 101A to 600A, and above 600A. According to our estimates, currently, the up to 100A segment captures the majority of the market share. Typically, the up to 100A range is utilized in numerous household appliances, like refrigerators, air conditioners, and washing machines, due to their energy efficiency, which is a key factor driving the growth of this segment.

However, the 101A to 600A current rating is expected to grow at a higher CAGR during the forecast period. This range is particularly in demand within the automotive sector, especially for electric vehicles that require efficiency and power system capacity, thus increasing product demand.

Market Share by Type of Configuration

Based on type of configuration, the global intelligent power module market is segmented into 6 pack IPM, 7 Pack IPM, and 10 pack IPM. According to our estimates, currently, the 6 pack IPM segment captures the majority of the market share. This growth is due to the ease of integration and the optimal balance between performance and efficiency offered by the 6 pack configuration.

Furthermore, this configuration typically integrates 6 insulated gate bipolar transistors and diodes within a single module, which aids in delivering balanced solutions for power electronics applications, such as motors and inverters. Consequently, this segment is also anticipated to experience significant growth over the next decade.

Market Share by Area of Applications

Based on area of applications, the global intelligent power module market is segmented into automotive, consumer electronics, industrial, renewable energy, and others. According to our estimates, currently, the automotive segment captures the majority of the market share, due to the increasing adoption of electric vehicles that depend significantly on intelligent power modules for efficient power management and conversion.

Additionally, the consumer electronics segment is anticipated to grow at the fastest rate, driven by the extensive use of intelligent power modules in home automation, appliances, and various other applications.

Market Share by Type of End User

Based on type of end user, the global intelligent power module market is segmented into commercial, industrial, and residential. According to our estimates, currently, the industrial segment captures the majority of the market share. This trend is expected to remain stable, driven by the widespread application of intelligent power modules in various industrial machinery and equipment such as pumps, fans, and compressors.

Market Share by Geographical Regions

Based on geographical regions, the intelligent power module market is segmented into North America, Europe, Asia, Latin America, Middle East and North Africa, and the rest of the world. According to our estimates, currently Asia captures the majority share of the market, driven by rapid infrastructure development and industrial growth. In addition, North America is projected to experience the highest compound annual growth rate (CAGR) during the forecast period, due to the presence of well-established market players and strong automotive sectors in the area. Moreover, with a highly advanced semiconductor manufacturing industry, the market for intelligent power modules in the US is anticipated to grow significantly based on circuit configuration.

Example Players in Intelligent Power Module Market

Fuji Electric
Hitachi
Infineon
Mitsubishi Electric
ON Semiconductor
Powerex
Renesas
ROHM
Semikron
STMicroelectronics
Texas Electronics
Vincotech

Intelligent Power Module Market: Research Coverage

The report on the intelligent power module market features insights on various sections, including:

Market Sizing and Opportunity Analysis: An in-depth analysis of the intelligent power module market, focusing on key market segments, including [A] type of power device, [B] type of voltage rating, [C] type of current, [D] type of configuration, [E] area of application, [F] type of end user, [G] geographical regions.
Competitive Landscape: A comprehensive analysis of the companies engaged in the intelligent power module market, based on several relevant parameters, such as [A] year of establishment, [B] company size, [C] location of headquarters and [D] ownership structure.
Company Profiles: Elaborate profiles of prominent players engaged in the intelligent power module market, providing details on [A] location of headquarters, [B] company size, [C] company mission, [D] company footprint, [E] management team, [F] contact details, [G] financial information, [H] operating business segments, [I] high-frequency trading server portfolio, [J] moat analysis, [K] recent developments, and an informed future outlook.
Megatrends: An evaluation of ongoing megatrends in the intelligent power module industry.
Patent Analysis: An insightful analysis of patents filed / granted in the intelligent power module domain, based on relevant parameters, including [A] type of patent, [B] patent publication year, [C] patent age and [D] leading players.
Recent Developments: An overview of the recent developments made in the intelligent power module market, along with analysis based on relevant parameters, including [A] year of initiative, [B] type of initiative, [C] geographical distribution and [D] most active players.
Porter's Five Forces Analysis: An analysis of five competitive forces prevailing in the intelligent power module market, including threats of new entrants, bargaining power of buyers, bargaining power of suppliers, threats of substitute products and rivalry among existing competitors.
SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter.
Value Chain Analysis: A comprehensive analysis of the value chain, providing information on the different phases and stakeholders involved in the intelligent power module market.

Key Questions Answered in this Report

How many companies are currently engaged in intelligent power module market?
Which are the leading companies in this market?
What factors are likely to influence the evolution of this market?
What is the current and future market size?
What is the CAGR of this market?
How is the current and future market opportunity likely to be distributed across key market segments?

Reasons to Buy this Report

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Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies.
The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects.

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1. PREFACE

1.1. Introduction
1.2. Market Share Insights
1.3. Key Market Insights
1.4. Report Coverage
1.5. Key Questions Answered
1.6. Chapter Outlines

2. RESEARCH METHODOLOGY

2.1. Chapter Overview
2.2. Research Assumptions
2.3. Database Building
- 2.3.1. Data Collection
- 2.3.2. Data Validation
- 2.3.3. Data Analysis
2.4. Project Methodology
- 2.4.1. Secondary Research
  - 2.4.1.1. Annual Reports
  - 2.4.1.2. Academic Research Papers
  - 2.4.1.3. Company Websites
  - 2.4.1.4. Investor Presentations
  - 2.4.1.5. Regulatory Filings
  - 2.4.1.6. White Papers
  - 2.4.1.7. Industry Publications
  - 2.4.1.8. Conferences and Seminars
  - 2.4.1.9. Government Portals
  - 2.4.1.10. Media and Press Releases
  - 2.4.1.11. Newsletters
  - 2.4.1.12. Industry Databases
  - 2.4.1.13. Roots Proprietary Databases
  - 2.4.1.14. Paid Databases and Sources
  - 2.4.1.15. Social Media Portals
  - 2.4.1.16. Other Secondary Sources
- 2.4.2. Primary Research
  - 2.4.2.1. Introduction
  - 2.4.2.2. Types
    - 2.4.2.2.1. Qualitative
    - 2.4.2.2.2. Quantitative
  - 2.4.2.3. Advantages
  - 2.4.2.4. Techniques
    - 2.4.2.4.1. Interviews
    - 2.4.2.4.2. Surveys
    - 2.4.2.4.3. Focus Groups
    - 2.4.2.4.4. Observational Research
    - 2.4.2.4.5. Social Media Interactions
  - 2.4.2.5. Stakeholders
    - 2.4.2.5.1. Company Executives (CXOs)
    - 2.4.2.5.2. Board of Directors
    - 2.4.2.5.3. Company Presidents and Vice Presidents
    - 2.4.2.5.4. Key Opinion Leaders
    - 2.4.2.5.5. Research and Development Heads
    - 2.4.2.5.6. Technical Experts
    - 2.4.2.5.7. Subject Matter Experts
    - 2.4.2.5.8. Scientists
    - 2.4.2.5.9. Doctors and Other Healthcare Providers
  - 2.4.2.6. Ethics and Integrity
    - 2.4.2.6.1. Research Ethics
    - 2.4.2.6.2. Data Integrity
- 2.4.3. Analytical Tools and Databases

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS

3.1. Forecast Methodology
- 3.1.1. Top-Down Approach
- 3.1.2. Bottom-Up Approach
- 3.1.3. Hybrid Approach
3.2. Market Assessment Framework
- 3.2.1. Total Addressable Market (TAM)
- 3.2.2. Serviceable Addressable Market (SAM)
- 3.2.3. Serviceable Obtainable Market (SOM)
- 3.2.4. Currently Acquired Market (CAM)
3.3. Forecasting Tools and Techniques
- 3.3.1. Qualitative Forecasting
- 3.3.2. Correlation
- 3.3.3. Regression
- 3.3.4. Time Series Analysis
- 3.3.5. Extrapolation
- 3.3.6. Convergence
- 3.3.7. Forecast Error Analysis
- 3.3.8. Data Visualization
- 3.3.9. Scenario Planning
- 3.3.10. Sensitivity Analysis
3.4. Key Considerations
- 3.4.1. Demographics
- 3.4.2. Market Access
- 3.4.3. Reimbursement Scenarios
- 3.4.4. Industry Consolidation
3.5. Robust Quality Control
3.6. Key Market Segmentations
3.7. Limitations

4. MACRO-ECONOMIC INDICATORS

4.1. Chapter Overview
4.2. Market Dynamics
- 4.2.1. Time Period
  - 4.2.1.1. Historical Trends
  - 4.2.1.2. Current and Forecasted Estimates
- 4.2.2. Currency Coverage
  - 4.2.2.1. Overview of Major Currencies Affecting the Market
  - 4.2.2.2. Impact of Currency Fluctuations on the Industry
- 4.2.3. Foreign Exchange Impact
  - 4.2.3.1. Evaluation of Foreign Exchange Rates and Their Impact on Market
  - 4.2.3.2. Strategies for Mitigating Foreign Exchange Risk
- 4.2.4. Recession
  - 4.2.4.1. Historical Analysis of Past Recessions and Lessons Learnt
  - 4.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market
- 4.2.5. Inflation
  - 4.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
  - 4.2.5.2. Potential Impact of Inflation on the Market Evolution
- 4.2.6. Interest Rates
  - 4.2.6.1. Overview of Interest Rates and Their Impact on the Market
  - 4.2.6.2. Strategies for Managing Interest Rate Risk
- 4.2.7. Commodity Flow Analysis
  - 4.2.7.1. Type of Commodity
  - 4.2.7.2. Origins and Destinations
  - 4.2.7.3. Values and Weights
  - 4.2.7.4. Modes of Transportation
- 4.2.8. Global Trade Dynamics
  - 4.2.8.1. Import Scenario
  - 4.2.8.2. Export Scenario
- 4.2.9. War Impact Analysis
  - 4.2.9.1. Russian-Ukraine War
  - 4.2.9.2. Israel-Hamas War
- 4.2.10. COVID Impact / Related Factors
  - 4.2.10.1. Global Economic Impact
  - 4.2.10.2. Industry-specific Impact
  - 4.2.10.3. Government Response and Stimulus Measures
  - 4.2.10.4. Future Outlook and Adaptation Strategies
- 4.2.11. Other Indicators
  - 4.2.11.1. Fiscal Policy
  - 4.2.11.2. Consumer Spending
  - 4.2.11.3. Gross Domestic Product (GDP)
  - 4.2.11.4. Employment
  - 4.2.11.5. Taxes
  - 4.2.11.6. R&D Innovation
  - 4.2.11.7. Stock Market Performance
  - 4.2.11.8. Supply Chain
  - 4.2.11.9. Cross-Border Dynamics

5. EXECUTIVE SUMMARY

6. INTRODUCTION

6.1. Chapter Overview
6.2. Overview of Intelligent Power Module Market
- 6.2.1. Type of Power Device
- 6.2.2. Type of Voltage Rating
- 6.2.3. Type of Current
- 6.2.4. Type of Configuration
- 6.2.5. Area of Application
- 6.2.6. Type of End User
6.3. Future Perspective

7. COMPETITIVE LANDSCAPE

7.1. Chapter Overview
7.2. Intelligent Power Module: Overall Market Landscape
- 7.2.1. Analysis by Year of Establishment
- 7.2.2. Analysis by Company Size
- 7.2.3. Analysis by Location of Headquarters
- 7.2.4. Analysis by Ownership Structure

8. COMPANY PROFILES

8.1. Chapter Overview
8.2. Fuji Electric*
- 8.2.1. Company Overview
- 8.2.2. Company Mission
- 8.2.3. Company Footprint
- 8.2.4. Management Team
- 8.2.5. Contact Details
- 8.2.6. Financial Performance
- 8.2.7. Operating Business Segments
- 8.2.8. Service / Product Portfolio (project specific)
- 8.2.9. MOAT Analysis
- 8.2.10. Recent Developments and Future Outlook
8.3. Hitachi
8.4. Infineon
8.5. Mitsubishi Electric
8.6. ON Semiconductor
8.7. Powerex
8.8. Renesas Electronics
8.9. ROHM
8.10. Semikron
8.11. STMicroelectronics
8.12. Texas Instruments
8.13. Vincotech

9. VALUE CHAIN ANALYSIS

10. SWOT ANALYSIS

11. GLOBAL INTELLIGENT POWER MODULE MARKET

11.1. Chapter Overview
11.2. Key Assumptions and Methodology
11.3. Trends Disruption Impacting Market
11.4. Global Intelligent Power Module Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
11.5. Multivariate Scenario Analysis
- 11.5.1. Conservative Scenario
- 11.5.2. Optimistic Scenario
11.6. Key Market Segmentations

12. MARKET OPPORTUNITIES BASED ON TYPE OF POWER DEVICE

12.1. Chapter Overview
12.2. Key Assumptions and Methodology
12.3. Revenue Shift Analysis
12.4. Market Movement Analysis
12.5. Penetration-Growth (P-G) Matrix
12.6. Intelligent Power Module Market for Insulated Gate Bipolar Transistor: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
12.7. Intelligent Power Module Market for Metal-Oxide-Semiconductor Field-Effect Transistor: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
12.8. Data Triangulation and Validation

13. MARKET OPPORTUNITIES BASED ON TYPE OF VOLTAGE RATING

13.1. Chapter Overview
13.2. Key Assumptions and Methodology
13.3. Revenue Shift Analysis
13.4. Market Movement Analysis
13.5. Penetration-Growth (P-G) Matrix
13.6. Intelligent Power Module Market for Up to 600V: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
13.7. Intelligent Power Module Market for 601V to1200V: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
13.8. Intelligent Power Module Market for Above 1200V: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
13.9. Data Triangulation and Validation

14. MARKET OPPORTUNITIES BASED ON TYPE OF CURRENT

14.1. Chapter Overview
14.2. Key Assumptions and Methodology
14.3. Revenue Shift Analysis
14.4. Market Movement Analysis
14.5. Penetration-Growth (P-G) Matrix
14.6. Intelligent Power Module Market for Up to 100A: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
14.7. Intelligent Power Module Market for 101A to 600A: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
14.8. Intelligent Power Module Market for Above 600A: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
14.9. Data Triangulation and Validation

15. MARKET OPPORTUNITIES BASED ON TYPE OF CONFIGURATION

15.1. Chapter Overview
15.2. Key Assumptions and Methodology
15.3. Revenue Shift Analysis
15.4. Market Movement Analysis
15.5. Penetration-Growth (P-G) Matrix
15.6. Intelligent Power Module Market for 6 Pack IPM: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
15.7. Intelligent Power Module Market for 7 Pack IPM: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
15.8. Intelligent Power Module Market for 10 Pack IPM: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
15.9. Data Triangulation and Validation

16. MARKET OPPORTUNITIES BASED ON AREA OF APPLICATION

16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Revenue Shift Analysis
16.4. Market Movement Analysis
16.5. Penetration-Growth (P-G) Matrix
16.6. Intelligent Power Module Market for Automotive: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
16.7. Intelligent Power Module Market for Consumer Electronic: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
16.8. Intelligent Power Module Market for Industrial: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
16.9. Intelligent Power Module Market for Renewable Energy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
16.10. Intelligent Power Module Market for Others: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
16.11. Data Triangulation and Validation

17. MARKET OPPORTUNITIES BASED ON TYPE OF END USER

17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Revenue Shift Analysis
17.4. Market Movement Analysis
17.5. Penetration-Growth (P-G) Matrix
17.6. Intelligent Power Module Market for Commercial: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
17.7. Intelligent Power Module Market for Industrial: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
17.8. Intelligent Power Module Market for Residential: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
17.9. Data Triangulation and Validation

18. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN NORTH AMERICA

18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Revenue Shift Analysis
18.4. Market Movement Analysis
18.5. Penetration-Growth (P-G) Matrix
18.6. Intelligent Power Module Market in North America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 18.6.1. Intelligent Power Module Market in the US: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 18.6.2. Intelligent Power Module Market in Canada: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 18.6.3. Intelligent Power Module Market in Mexico: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 18.6.4. Intelligent Power Module Market in Other North American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
18.7. Data Triangulation and Validation

19. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN EUROPE

19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Revenue Shift Analysis
19.4. Market Movement Analysis
19.5. Penetration-Growth (P-G) Matrix
19.6. Intelligent Power Module Market in Europe: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.1. Intelligent Power Module Market in Austria: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.2. Intelligent Power Module Market in Belgium: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.3. Intelligent Power Module Market in Denmark: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.4. Intelligent Power Module Market in France: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.5. Intelligent Power Module Market in Germany: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.6. Intelligent Power Module Market in Ireland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.7. Intelligent Power Module Market in Italy: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 199.6.8. Intelligent Power Module Market in Netherlands: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.9. Intelligent Power Module Market in Norway: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.10. Intelligent Power Module Market in Russia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.11. Intelligent Power Module Market in Spain: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.12. Intelligent Power Module Market in Sweden: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.13. Intelligent Power Module Market in Switzerland: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.14. Intelligent Power Module Market in the UK: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 19.6.15. Intelligent Power Module Market in Other European Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
19.7. Data Triangulation and Validation

20. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN ASIA

20.1. Chapter Overview
20.2. Key Assumptions and Methodology
20.3. Revenue Shift Analysis
20.4. Market Movement Analysis
20.5. Penetration-Growth (P-G) Matrix
20.6. Intelligent Power Module Market in Asia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.1. Intelligent Power Module Market in China: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.2. Intelligent Power Module Market in India: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.3. Intelligent Power Module Market in Japan: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.4. Intelligent Power Module Market in Singapore: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.5. Intelligent Power Module Market in South Korea: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 20.6.6. Intelligent Power Module Market in Other Asian Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
20.7. Data Triangulation and Validation

21. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN MIDDLE EAST AND NORTH AFRICA (MENA)

21.1. Chapter Overview
21.2. Key Assumptions and Methodology
21.3. Revenue Shift Analysis
21.4. Market Movement Analysis
21.5. Penetration-Growth (P-G) Matrix
21.6. Intelligent Power Module Market in Middle East and North Africa (MENA): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.1. Intelligent Power Module Market in Egypt: Historical Trends (Since 2019) and Forecasted Estimates (Till 205)
- 21.6.2. Intelligent Power Module Market in Iran: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.3. Intelligent Power Module Market in Iraq: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.4. Intelligent Power Module Market in Israel: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.5. Intelligent Power Module Market in Kuwait: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.6. Intelligent Power Module Market in Saudi Arabia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.7. Intelligent Power Module Market in United Arab Emirates (UAE): Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 21.6.8. Intelligent Power Module Market in Other MENA Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
21.7. Data Triangulation and Validation

22. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN LATIN AMERICA

22.1. Chapter Overview
22.2. Key Assumptions and Methodology
22.3. Revenue Shift Analysis
22.4. Market Movement Analysis
22.5. Penetration-Growth (P-G) Matrix
22.6. Intelligent Power Module Market in Latin America: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.1. Intelligent Power Module Market in Argentina: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.2. Intelligent Power Module Market in Brazil: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.3. Intelligent Power Module Market in Chile: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.4. Intelligent Power Module Market in Colombia Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.5. Intelligent Power Module Market in Venezuela: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 22.6.6. Intelligent Power Module Market in Other Latin American Countries: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
22.7. Data Triangulation and Validation

23. MARKET OPPORTUNITIES FOR INTELLIGENT POWER MODULE IN REST OF THE WORLD

23.1. Chapter Overview
23.2. Key Assumptions and Methodology
23.3. Revenue Shift Analysis
23.4. Market Movement Analysis
23.5. Penetration-Growth (P-G) Matrix
23.6. Intelligent Power Module Market in Rest of the World: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 23.6.1. Intelligent Power Module Market in Australia: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 23.6.2. Intelligent Power Module Market in New Zealand: Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)
- 23.6.3. Intelligent Power Module Market in Other Countries
23.7. Data Triangulation and Validation

한글목차

목차

제1장 서문

제2장 조사 방법

제3장 경제적 및 기타 프로젝트 특유 고려 사항

제4장 거시경제 지표

제5장 개요

제6장 서론

제7장 경쟁 구도

제8장 기업 개요

제9장 밸류체인 분석

제10장 SWOT 분석

제11장 세계의 지능형 파워 모듈 시장

제12장 파워 디바이스 유형별 시장 기회

제13장 정격전압 유형별 시장 기회

제14장 전류 유형별 시장 기회

제15장 컨피규레이션 유형별 시장 기회

제16장 응용 영역별 시장 기회

제17장 최종사용자 유형별 시장 기회

제18장 북미에서 지능형 파워 모듈의 시장 기회

제19장 유럽에서 지능형 파워 모듈의 시장 기회

제20장 아시아에서 지능형 파워 모듈의 시장 기회

제21장 중동·북아프리카(MENA)에서 지능형 파워 모듈의 시장 기회

제22장 라틴아메리카에서 지능형 파워 모듈의 시장 기회

제23장 기타 지역에서 지능형 파워 모듈의 시장 기회

제24장 표형식 데이터

제25장 기업·단체 리스트

제26장 커스터마이즈 기회

제27장 ROOT 서브스크립션 서비스

제28장 저자 상세