Market Overview:
The global motor intelligent module market is expected to grow at a CAGR of 6.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for energy-efficient and smart motors across different applications. Additionally, the growing awareness about energy conservation is also propelling the demand for motor intelligent modules globally. Based on type, the global motor intelligent module market can be segmented into half-bridge drivers and full-bridge drivers. The full-bridge driver segment is expected to witness higher growth during the forecast period as compared to other segments, owing to its ability to provide better performance than other types of drivers. Based on application, the global motor intelligent module market can be divided into five major segments: energy, oil and gas, machinery & equipment, household appliances and others (including medical devices and transportation). Among these segments, machinery & equipment accounted for a majority share of 43% in 2017; however, it is anticipated that by 2030 end; household appliances will emerge as one of key fastest growing application areas with highest CAGR over 2019–2030 period followed by oil & gas industry which will grow at 5%.
Product Definition:
A Motor Intelligent Module is an electronic device that controls the speed and direction of a motor. It can also monitor the condition of the motor and make adjustments to keep it running smoothly. The module is important because it allows motors to be controlled more efficiently, which can result in increased fuel economy and longer life for the motor.
Half-Bridge Driver:
The half-bridge driver is a crucial component used in the development of motor intelligent modules. The growth factor for this market is directly proportional to the need for power management solutions and advancements in sensor technology. Half bridge drivers are capable of delivering more output current compared to traditional full-bridge counterparts, which has resulted in increased adoption across several applications such as electric vehicles (EV), hybrid electric vehicles (HEV), and non-hybrid electric vehicles (NHEV).
Full-Bridge Driver:
The Full-bridge Driver is a circuit that controls the current flow in every single bridge element. It helps to regulate the current flow in Motor Intelligent Modules (MIM) and provides an output torque value for each of its phases. The torque value can be used by software or hardware systems to calculate vehicle speed, which further helps in enhancing driving experience and safety of driver as well as other road users.
Application Insights:
The energy segment dominated the global motor intelligent module market in 2017 and is expected to witness significant growth over the forecast period. The growing demand for electric vehicles, coupled with rising concerns regarding power consumption, has led to increased adoption of these modules across automotive applications. These devices help reduce vehicle emissions by monitoring various engine parameters and providing necessary alerts if there are any abnormalities or issues with the vehicle¢â‚¬â„¢s engine.
In addition, they also monitor fuel injection timings for ensuring proper distribution of fuel into cylinders which helps improve overall combustion efficiency and reduce harmful exhaust gases thereby reducing pollution levels significantly. Furthermore, they also monitor air/fuel mixture adjustment during cold start-up conditions which helps optimize performance further while reducing pollution levels at all costs. Such factors are projected to drive their demand in automotive applications over the forecast period thus propelling overall market growth across various regions globally.
Regional Analysis:
Asia Pacific is expected to be the fastest-growing region over the forecast period. The growth can be attributed to increasing adoption of motor intelligent modules in industrial applications, such as energy and oil and gas industries. Increasing demand for electric vehicles across countries such as China, India, Japan and South Korea is also anticipated to drive regional market growth over the forecast period.
The Asia Pacific regional market accounted for a revenue share of more than 30% in 2017 owing to high manufacturing volume of motors coupled with rapid industrialization across this region. For instance, according to IEA Energy R&D statistics 2016 published by IEA Directorate-General Laid down energy R&D expenditure in Asia increased from USD X billion (EUR 98 billion)in 2011to USD X billion (EUR 117 billion)in 2015). Such developments are expected favorably impact industry expansion over the next eight years.
Growth Factors:
- Increasing demand for electric vehicles
- Rising demand from the automotive sector
- Growing popularity of advanced driver assistance systems (ADAS)
- Proliferation of autonomous driving technology
- Increasing adoption of motor intelligent modules in industrial and commercial applications
Scope Of The Report
Report Attributes
Report Details
Report Title
Motor Intelligent Module Market Research Report
By Type
Half-Bridge Driver, Full-Bridge Driver
By Application
Energy, Oil and Gas, Machinery & Equipment, Household Appliances, Others
By Companies
Rockwell Automation, Siemens, Infineon Technologies, GE, Eaton, ABB, Schneider, Mitsubishi Electric, Nanotec, HPU, Rockwell Automation
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
141
Number of Tables & Figures
99
Customization Available
Yes, the report can be customized as per your need.
Global Motor Intelligent Module Market Report Segments:
The global Motor Intelligent Module market is segmented on the basis of:
Types
Half-Bridge Driver, Full-Bridge Driver
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Energy, Oil and Gas, Machinery & Equipment, Household Appliances, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Rockwell Automation
- Siemens
- Infineon Technologies
- GE
- Eaton
- ABB
- Schneider
- Mitsubishi Electric
- Nanotec
- HPU
- Rockwell Automation
Highlights of The Motor Intelligent Module Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Half-Bridge Driver
- Full-Bridge Driver
- By Application:
- Energy
- Oil and Gas
- Machinery & Equipment
- Household Appliances
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Motor Intelligent Module Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
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- Understanding Competition Scenario
- Product & Brand Management
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A Motor Intelligent Module (MIM) is a type of electronic control unit that helps manage the speed and power of electric motors. MIMs are used in a variety of applications, including industrial machinery, transportation systems, and consumer electronics.
Some of the key players operating in the motor intelligent module market are Rockwell Automation, Siemens, Infineon Technologies, GE, Eaton, ABB, Schneider, Mitsubishi Electric, Nanotec, HPU, Rockwell Automation.
The motor intelligent module market is expected to grow at a compound annual growth rate of 6.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Motor Intelligent Module Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Motor Intelligent Module Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Motor Intelligent Module Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Motor Intelligent Module Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Motor Intelligent Module Market Size & Forecast, 2020-2028
4.5.1 Motor Intelligent Module Market Size and Y-o-Y Growth
4.5.2 Motor Intelligent Module Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Half-Bridge Driver
5.2.2 Full-Bridge Driver
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 Energy
6.2.2 Oil and Gas
6.2.3 Machinery & Equipment
6.2.4 Household Appliances
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Motor Intelligent Module Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Motor Intelligent Module Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Half-Bridge Driver
9.6.2 Full-Bridge Driver
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 Energy
9.10.2 Oil and Gas
9.10.3 Machinery & Equipment
9.10.4 Household Appliances
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Half-Bridge Driver
10.6.2 Full-Bridge Driver
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 Energy
10.10.2 Oil and Gas
10.10.3 Machinery & Equipment
10.10.4 Household Appliances
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Half-Bridge Driver
11.6.2 Full-Bridge Driver
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 Energy
11.10.2 Oil and Gas
11.10.3 Machinery & Equipment
11.10.4 Household Appliances
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Half-Bridge Driver
12.6.2 Full-Bridge Driver
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 Energy
12.10.2 Oil and Gas
12.10.3 Machinery & Equipment
12.10.4 Household Appliances
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Half-Bridge Driver
13.6.2 Full-Bridge Driver
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 Energy
13.10.2 Oil and Gas
13.10.3 Machinery & Equipment
13.10.4 Household Appliances
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Motor Intelligent Module Market: Competitive Dashboard
14.2 Global Motor Intelligent Module Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Rockwell Automation
14.3.2 Siemens
14.3.3 Infineon Technologies
14.3.4 GE
14.3.5 Eaton
14.3.6 ABB
14.3.7 Schneider
14.3.8 Mitsubishi Electric
14.3.9 Nanotec
14.3.10 HPU
14.3.11 Rockwell Automation
