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Global Smart Motors Market to reach USD 4461.1 million by the end of 2030.

Global Smart Motors Market Size study & Forecast, by Component (Variable Speed Drive, Intelligent Motor Control Center, Motor) by Application (Industrial, Commercial, Automotive, Aerospace and Defense, Oil and Gas, Metal and Mining, Water and Wastewater, Other Applications), and Regional Analysis, 2023-2030

Product Code: OIRIA-93849816
Publish Date: 20-07-2023
Page: 200

Global Smart Motors Market is valued approximately at USD 2757.1 million in 2022 and is anticipated to grow with a growth rate of more than 6.20% over the forecast period 2023-2030. The smart motors market refers to the industry focused on the production and deployment of electric motors equipped with advanced features such as connectivity, integrated sensors, and control systems, enabling enhanced monitoring, efficiency, and automation in various applications. These motors utilize intelligent technologies to optimize performance, improve energy efficiency, provide remote control capabilities, and enable integration with smart systems for applications across industries including manufacturing, automotive, robotics, and HVAC. The Smart Motors Market is being driven by factors such as technological advancements in smart motor technology and rising integration of IoT in industrial automation.

Continuous advancements in motor control technologies, sensor integration, connectivity solutions, and data analytics are driving the development of smart motors. These advancements enhance motor performance, enable predictive maintenance, and facilitate intelligent decision-making for efficient operations. For instance, in May 2022, TMEIC Asia Pte. Limited has introduced the Smart Motor Sensor TMASMS, an AI-powered predictive maintenance platform for electric motors. This innovative solution enables early detection of motor failures by continuously monitoring and analyzing key diagnostic parameters. By leveraging AI technology, the platform provides round-the-clock monitoring and analysis, contributing to the stable operation of plants and factories. The TMASMS solution helps predict potential causes of motor failure, facilitating timely maintenance actions and preventing costly downtime. Along with this in May 2022, Analog Devices and Nissei collaborate to introduce ADI OtoSense Smart Motor Sensors, enhancing motor defect monitoring and improving maintenance efficiency for soft-serve ice cream manufacturing equipment. Thus increasing advancement in smart motor technology and increasing industrial automation and IoT integration fueling the growth of the market. In addition to growing focus on predictive maintenance and increasing Demand for automation and robotics create lucrative opportunities for the market. However, the high initial costs of smart motor and cybersecurity concerns hinders market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Smart Motors Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 owing to the region has witnessed significant industrial growth and manufacturing activities, leading to a high demand for smart motors in various sectors such as automotive, electronics, and machinery. The need for automation, energy efficiency, and improved operational control has fueled the adoption of smart motors in these industries. Asia Pacific is considered as the fastest growing region during the forecasted period due to industries in Asia Pacific increasingly embrace automation to improve productivity and operational efficiency, the demand for smart motors as a key component of automated systems continues to rise.

Major market player included in this report are:
ABB Ltd
Siemens AG
Schaeffler AG
Sick AG
Schneider Electric SE
Weg SA
Augury Inc.
Moog Inc.
Dunkermotoren GmbH
Technosoft SA
Recent Developments in the Market:
Ø In November 2021, WEG, a leading manufacturer of electrical equipment, has expanded its product portfolio by introducing the CFW900 variable speed drive (VSD). The CFW900 is a state-of-the-art VSD designed to drive and control three-phase induction and permanent magnet motors. This advanced drive offers outstanding static and dynamic performance, ensuring precise control of torque, speed, and position. It is capable of handling high overload capacity, making it suitable for a wide range of applications. The addition of the CFW900 VSD enhances WEG’s offerings in the market, providing customers with a reliable and high-performance solution for motor control and automation needs.
Ø In October 2021, ABB introduced the FusionAir Smart Sensor, a touch-free room sensor with optional room control sensors capable of monitoring temperature, humidity, carbon dioxide (CO2), and volatile organic compounds (VOCs) to improve overall IAQ and lower the risk of virus exposure. The FusionAir Smart Sensor sends data to the connected controller, causing it to react and make intelligent adjustments to lighting, shading, and HVAC, ensuring that lights are not left on in empty meeting rooms. That costly HVAC is switched off when not needed.
Global Smart Motors 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 – Component, Application, 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 Component:
Variable Speed Drive
Intelligent Motor Control Center
Motor

By Application:
Industrial
Commercial
Automotive
Aerospace and Defense
Oil and Gas
Metal and Mining
Water and Wastewater
Other Applications

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

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 Million)
1.2.1. Smart Motors Market, by region, 2020-2030 (USD Million)
1.2.2. Smart Motors Market, by Component, 2020-2030 (USD Million)
1.2.3. Smart Motors Market, by Application, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Smart Motors 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 Smart Motors Market Dynamics
3.1. Smart Motors Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Technological advancements in smart motor technology
3.1.1.2. Rising integration of IoT in industrial automation .
3.1.2. Market Challenges
3.1.2.1. High initial costs of smart motor
3.1.2.2. Cybersecurity concerns
3.1.3. Market Opportunities
3.1.3.1. Increasing demand for automation and robotics
3.1.3.2. Growing focus on predictive maintenance
Chapter 4. Global Smart Motors 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. Economic
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 Smart Motors Market, by Component
5.1. Market Snapshot
5.2. Global Smart Motors Market by Component, Performance – Potential Analysis
5.3. Global Smart Motors Market Estimates & Forecasts by Component 2020-2030 (USD Million)
5.4. Smart Motors Market , Sub Segment Analysis
5.4.1. Variable Speed Drive
5.4.2. Intelligent Motor Control Center
5.4.3. Motor
Chapter 6. Global Smart Motors Market, by Application
6.1. Market Snapshot
6.2. Global Smart Motors Market by Application, Performance – Potential Analysis
6.3. Global Smart Motors Market Estimates & Forecasts by Application 2020-2030 (USD Million)
6.4. Smart Motors Market , Sub Segment Analysis
6.4.1. Industrial
6.4.2. Commercial
6.4.3. Automotive
6.4.4. Aerospace and Defense
6.4.5. Oil and Gas
6.4.6. Metal and Mining
6.4.7. Water and Wastewater
6.4.8. Other Applications
Chapter 7. Global Smart Motors Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Smart Motors Market , Regional Market Snapshot
7.4. North America Smart Motors Market
7.4.1. U.S. Smart Motors Market
7.4.1.1. Component breakdown estimates & forecasts, 2020-2030
7.4.1.2. Application breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Smart Motors Market
7.5. Europe Smart Motors Market Snapshot
7.5.1. U.K. Smart Motors Market
7.5.2. Germany Smart Motors Market
7.5.3. France Smart Motors Market
7.5.4. Spain Smart Motors Market
7.5.5. Italy Smart Motors Market
7.5.6. Rest of Europe Smart Motors Market
7.6. Asia-Pacific Smart Motors Market Snapshot
7.6.1. China Smart Motors Market
7.6.2. India Smart Motors Market
7.6.3. Japan Smart Motors Market
7.6.4. Australia Smart Motors Market
7.6.5. South Korea Smart Motors Market
7.6.6. Rest of Asia Pacific Smart Motors Market
7.7. Latin America Smart Motors Market Snapshot
7.7.1. Brazil Smart Motors Market
7.7.2. Mexico Smart Motors Market
7.8. Middle East & Africa Smart Motors Market
7.8.1. Saudi Arabia Smart Motors Market
7.8.2. South Africa Smart Motors Market
7.8.3. Rest of Middle East & Africa Smart Motors Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. ABB Ltd
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Recent Developments
8.3.2. Siemens AG
8.3.3. Schaeffler AG
8.3.4. Sick AG
8.3.5. Schneider Electric SE
8.3.6. Weg SA
8.3.7. Augury Inc.
8.3.8. Moog Inc.
8.3.9. Dunkermotoren GmbH
8.3.10. Technosoft SA
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

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Data Collection:
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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.
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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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