Global Smart Motors Market 2024–2033

Table of Contents

• Chapter 1. Preface
  • 1.1 Report Description and Scope
  • 1.2 Research scope
  • 1.3 Research methodology
    • 1.3.1 Market Research Type
    • 1.3.2 Market research methodology
• Chapter 2. Executive Summary
  • 2.1 Global Smart Motors Market, (2022 – 2030) (USD Billion)
  • 2.2 Global Smart Motors Market : snapshot
• Chapter 3. Global Smart Motors Market – Industry Analysis
  • 3.1 Smart Motors Market: Market Dynamics
  • 3.2 Market Drivers
    • 3.2.1 The increasing demand for robotics
    • 3.2.2 Industrial automation
    • 3.2.3 Effective and environmentally friendly motors.
  • 3.3 Market Restraints
  • 3.4 Market Opportunities
  • 3.5 Market Challenges
  • 3.6 Porter’s Five Forces Analysis
  • 3.7 Market Attractiveness Analysis
    • 3.7.1 Market attractiveness analysis By Product
    • 3.7.2 Market attractiveness analysis By Application
• Chapter 4. Global Smart Motors Market- Competitive Landscape
  • 4.1 Company market share analysis
    • 4.1.1 Global Smart Motors Market: company market share, 2021
  • 4.2 Strategic development
    • 4.2.1 Acquisitions & mergers
    • 4.2.2 New Product launches
    • 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
    • 4.2.4 Research and development and Regional expansion
  • 4.3 Price trend analysis
• Chapter 5. Global Smart Motors Market – Product Analysis
  • 5.1 Global Smart Motors Market overview: By Product
    • 5.1.1 Global Smart Motors Market share, By Product, 2021 and 2030
  • 5.2 18V
    • 5.2.1 Global Smart Motors Market by 18V, 2022 – 2030 (USD Billion)
  • 5.3 24V
    • 5.3.1 Global Smart Motors Market by 24V, 2022 – 2030 (USD Billion)
  • 5.4 36V
    • 5.4.1 Global Smart Motors Market by 36V, 2022 – 2030 (USD Billion)
  • 5.5 48.24V
    • 5.5.1 Global Smart Motors Market by 48.24V, 2022 – 2030 (USD Billion)
• Chapter 6. Global Smart Motors Market – Application Analysis
  • 6.1 Global Smart Motors Market overview: By Application
    • 6.1.1 Global Smart Motors Market share, By Application, 2021 and 2030
  • 6.2 Commercial
    • 6.2.1 Global Smart Motors Market by Commercial, 2022 – 2030 (USD Billion)
  • 6.3 Industrial
    • 6.3.1 Global Smart Motors Market by Industrial, 2022 – 2030 (USD Billion)
  • 6.4 Automotive
    • 6.4.1 Global Smart Motors Market by Automotive, 2022 – 2030 (USD Billion)
  • 6.5 Oil & Gas
    • 6.5.1 Global Smart Motors Market by Oil & Gas, 2022 – 2030 (USD Billion)
  • 6.6 Water and Wastewater
    • 6.6.1 Global Smart Motors Market by Water and Wastewater, 2022 – 2030 (USD Billion)
  • 6.7 Aerospace & Defense
    • 6.7.1 Global Smart Motors Market by Aerospace & Defense, 2022 – 2030 (USD Billion)
  • 6.8 Metal and Mining
    • 6.8.1 Global Smart Motors Market by Metal and Mining, 2022 – 2030 (USD Billion)
• Chapter 7. Smart Motors Industry – Regional Analysis
  • 7.1 Global Smart Motors Industry Regional Overview
  • 7.2 Global Smart Motors Industry Share, by Region, 2021 & 2030 (USD Billion)
  • 7.3. North America
    • 7.3.1 North America Smart Motors Industry, 2022 – 2030 (USD Billion)
      • 7.3.1.1 North America Smart Motors Industry, by Country, 2022 – 2030 (USD Billion)
  • 7.4 North America Smart Motors Industry, by Product, 2022 – 2030
    • 7.4.1 North America Smart Motors Industry, by Product, 2022 – 2030 (USD Billion)
  • 7.5 North America Smart Motors Industry, by Application, 2022 – 2030
    • 7.5.1 North America Smart Motors Industry, by Application, 2022 – 2030 (USD Billion)
  • 7.6. Europe
    • 7.6.1 Europe Smart Motors Industry, 2022 – 2030 (USD Billion)
      • 7.6.1.1 Europe Smart Motors Industry, by Country, 2022 – 2030 (USD Billion)
  • 7.7 Europe Smart Motors Industry, by Product, 2022 – 2030
    • 7.7.1 Europe Smart Motors Industry, by Product, 2022 – 2030 (USD Billion)
  • 7.8 Europe Smart Motors Industry, by Application, 2022 – 2030
    • 7.8.1 Europe Smart Motors Industry, by Application, 2022 – 2030 (USD Billion)
  • 7.9. Asia Pacific
    • 7.9.1 Asia Pacific Smart Motors Industry, 2022 – 2030 (USD Billion)
      • 7.9.1.1 Asia Pacific Smart Motors Industry, by Country, 2022 – 2030 (USD Billion)
  • 7.10 Asia Pacific Smart Motors Industry, by Product, 2022 – 2030
    • 7.10.1 Asia Pacific Smart Motors Industry, by Product, 2022 – 2030 (USD Billion)
  • 7.11 Asia Pacific Smart Motors Industry, by Application, 2022 – 2030
    • 7.11.1 Asia Pacific Smart Motors Industry, by Application, 2022 – 2030 (USD Billion)
  • 7.12. Latin America
    • 7.12.1 Latin America Smart Motors Industry, 2022 – 2030 (USD Billion)
      • 7.12.1.1 Latin America Smart Motors Industry, by Country, 2022 – 2030 (USD Billion)
  • 7.13 Latin America Smart Motors Industry, by Product, 2022 – 2030
    • 7.13.1 Latin America Smart Motors Industry, by Product, 2022 – 2030 (USD Billion)
  • 7.14 Latin America Smart Motors Industry, by Application, 2022 – 2030
    • 7.14.1 Latin America Smart Motors Industry, by Application, 2022 – 2030 (USD Billion)
  • 7.15. The Middle-East and Africa
    • 7.15.1 The Middle-East and Africa Smart Motors Industry, 2022 – 2030 (USD Billion)
      • 7.15.1.1 The Middle-East and Africa Smart Motors Industry, by Country, 2022 – 2030 (USD Billion)
  • 7.16 The Middle-East and Africa Smart Motors Industry, by Product, 2022 – 2030
    • 7.16.1 The Middle-East and Africa Smart Motors Industry, by Product, 2022 – 2030 (USD Billion)
  • 7.17 The Middle-East and Africa Smart Motors Industry, by Application, 2022 – 2030
    • 7.17.1 The Middle-East and Africa Smart Motors Industry, by Application, 2022 – 2030 (USD Billion)
• Chapter 8. Company Profiles
  • 8.1 ABB Ltd
    • 8.1.1 Overview
    • 8.1.2 Financials
    • 8.1.3 Product Portfolio
    • 8.1.4 Business Strategy
    • 8.1.5 Recent Developments
  • 8.2 Fuji Electric Co. Ltd. (Furukawa Co. Ltd.)
    • 8.2.1 Overview
    • 8.2.2 Financials
    • 8.2.3 Product Portfolio
    • 8.2.4 Business Strategy
    • 8.2.5 Recent Developments
  • 8.3 Dunkermotoren GmbH (AMETEK Inc.)
    • 8.3.1 Overview
    • 8.3.2 Financials
    • 8.3.3 Product Portfolio
    • 8.3.4 Business Strategy
    • 8.3.5 Recent Developments
  • 8.4 Nidec Corporation
    • 8.4.1 Overview
    • 8.4.2 Financials
    • 8.4.3 Product Portfolio
    • 8.4.4 Business Strategy
    • 8.4.5 Recent Developments
  • 8.5 General Electric Company
    • 8.5.1 Overview
    • 8.5.2 Financials
    • 8.5.3 Product Portfolio
    • 8.5.4 Business Strategy
    • 8.5.5 Recent Developments
  • 8.6 Moog Inc.
    • 8.6.1 Overview
    • 8.6.2 Financials
    • 8.6.3 Product Portfolio
    • 8.6.4 Business Strategy
    • 8.6.5 Recent Developments
  • 8.7 RobotShop Inc.
    • 8.7.1 Overview
    • 8.7.2 Financials
    • 8.7.3 Product Portfolio
    • 8.7.4 Business Strategy
    • 8.7.5 Recent Developments
  • 8.8 Siemens AG
    • 8.8.1 Overview
    • 8.8.2 Financials
    • 8.8.3 Product Portfolio
    • 8.8.4 Business Strategy
    • 8.8.5 Recent Developments
  • 8.9 Rockwell Automation Inc.
    • 8.9.1 Overview
    • 8.9.2 Financials
    • 8.9.3 Product Portfolio
    • 8.9.4 Business Strategy
    • 8.9.5 Recent Developments
  • 8.10 Schneider Electric SE
    • 8.10.1 Overview
    • 8.10.2 Financials
    • 8.10.3 Product Portfolio
    • 8.10.4 Business Strategy
    • 8.10.5 Recent Developments
  • 8.11 Technosoft SA
    • 8.11.1 Overview
    • 8.11.2 Financials
    • 8.11.3 Product Portfolio
    • 8.11.4 Business Strategy
    • 8.11.5 Recent Developments

List Of Figures

Figures No 1 to 25

List Of Tables

Tables No 1 to 52

Report Methodology

In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:

Preliminary Data Mining

On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.

Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.

Statistical Model

Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.

Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.

Some of the variables taken into account for forecasting are as follows:

• Industry drivers and constraints, as well as their current and projected impact

• The raw material case, as well as supply-versus-price trends

• Current volume and projected volume growth through 2030

We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.

Primary Validation

This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.

Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.

All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:

• Market leaders

• Suppliers of raw materials

• Suppliers of raw materials

• Buyers.

The following are the primary research objectives:

• To ensure the accuracy and acceptability of our data.

• Gaining an understanding of the current market and future projections.

Data Collection Matrix

Market Analysis Matrix