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Global Motion Control Software in Robotics Market is valued at approximately USD 7.56 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 19.6 % over the forecast period 2022-2028. Motion Control Software is a critical component of robotic systems that determines how a robot should move in order to complete pre-defined tasks. It allows you to manipulate the machine tooling or the part itself in a precise and controlled manner. Increasing innovations in software, rising adoption of linear robotics and rising liability on automation have driven the adoption of Motion Control Software in Robotics across the projected period. For Instance: According to the International Federation of Robotics (IFB), the use of industrial robots grew by 10% in 2021, with about 3 million industrial robots operating in companies. Also, rising preference for efficient and automatic systems and involvement of leading Robotic Industries is most likely to boost the overall growth of the Motion Control Software in Robotics market. However, lack of skilled specialists and lack of awareness of the technology can obstruct the market’s expansion over the projection period of 2022-2028.
The key regions considered for the Global Motion Control Software In Robotics Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Extensive use of robotics in the automotive, manufacturing and healthcare industries is driving the market growth in the region. Whereas, APEJ is also anticipated to exhibit the highest growth rate over the forecast period 2022-2028. The market is expected to grow during the projected period due to the extensive adoption of automation and rapid industrialization.
Major market players included in this report are:
ABB Ltd.
Fanuc Robotics Company
Teradyne
Kuka AG
Yamaha Motor Co.
Yaskawa Electric Corp.
Denso Wave
Omron Corporation
Nachi Robotics System
Energid Technologies
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 Robot Type:
Articulated
Cartesian
Cylindrical
Polar
SCARA
Delta
By Robotic System Type:
Manipulation Robotic System
Mobile Robotic System
Data Acquisition and Control System
By Application:
Industrial Robot
Medical Robot
Consumer Robot
By Offering:
Standard
Customized
By Software:
Pick & Place
Drilling
Hold & Rotate
Painting
Striking, Punching & Blanking
Welding
Inspection
Cutting
Layout, Marking & Measurement
Grinding & Polishing
Other
By Motion Type:
Linear
Rotary
Oscillatory
Omni-Directionally
By End-User:
Manufacturing Industries
Oil & Gas
Healthcare
Research Academia
Others
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
Base year – 2020
Forecast period – 2021 to 2027
Target Audience of the Global Motion Control Software in Robotics 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. Motion Control Software in Robotics Market, by Region, 2020-2028 (USD Billion)
1.2.2. Motion Control Software in Robotics Market, by Robotic Type, 2020-2028 (USD Billion)
1.2.3. Motion Control Software in Robotics Market, by Robotic System Type, 2020-2028 (USD Billion)
1.2.4. Motion Control Software in Robotics Market, by Application, 2020-2028 (USD Billion)
1.2.5. Motion Control Software in Robotics Market, by Offering, 2020-2028 (USD Billion)
1.2.6. Motion Control Software in Robotics Market, by Software, 2020-2028 (USD Billion)
1.2.7. Motion Control Software in Robotics Market, by Motion Type, 2020-2028 (USD Billion)
1.2.8. Motion Control Software in Robotics Market, by End-User, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Motion Control Software in Robotics 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 Motion Control Software in Robotics Market Dynamics
3.1. Motion Control Software in Robotics Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Increasing innovations in software
3.1.1.2. Rising adoption of linear robotics
3.1.1.3. Rising liability on automation
3.1.2. Market Challenges
3.1.2.1. Lack of skilled specialists
3.1.2.2. Lack of awareness of the technology
3.1.3. Market Opportunities
3.1.3.1. Rising preference for efficient and automatic Systems
3.1.3.2. Involvement of leading Robotic Industries
Chapter 4. Global Motion Control Software in Robotics 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 Motion Control Software in Robotics Market, by Robot Type
6.1. Market Snapshot
6.2. Global Motion Control Software in Robotics Market by Robot Type, Performance – Potential Analysis
6.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Robot Type, 2019-2028 (USD Billion)
6.4. Motion Control Software in Robotics Market, Sub Segment Analysis
6.4.1 Articulated
6.4.2 Cartesian
6.4.3 Cylindrical
6.4.4 Polar
6.4.5 SCARA
6.4.6 Delta
Chapter 7. Global Motion Control Software in Robotics Market, by Robotic System Type
7.1. Market Snapshot
7.2. Global Motion Control Software in Robotics Market by Robotic System Type, Performance – Potential Analysis
7.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Robotic System Type, 2019-2028 (USD Billion)
7.4. Motion Control Software in Robotics Market, Sub Segment Analysis
7.4.1 Manipulation Robotic System
7.4.2 Mobile Robotic System
7.4.3 Data Acquisition and Control System
Chapter 8. Global Motion Control Software in Robotics Market, by Application
8.1. Market Snapshot
8.2. Global Motion Control Software in Robotics Market by Application, Performance – Potential Analysis
8.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Application, 2019-2028 (USD Billion)
8.4. Motion Control Software in Robotics Market, Sub Segment Analysis
8.4.1 Industrial Robot
8.4.2 Medical Robot
8.4.3 Consumer Robot
Chapter 9. Global Motion Control Software in Robotics Market, by Offering
9.1. Market Snapshot
9.2. Global Motion Control Software in Robotics Market by Offering, Performance – Potential Analysis
9.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Offering, 2019-2028 (USD Billion)
9.4. Motion Control Software in Robotics Market, Sub Segment Analysis
9.4.1 Standard
9.4.2 Customized
Chapter 10. Global Motion Control Software in Robotics Market, by Software
10.1. Market Snapshot
10.2. Global Motion Control Software in Robotics Market by Software, Performance – Potential Analysis
10.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Software, 2019-2028 (USD Billion)
10.4. Motion Control Software in Robotics Market, Sub Segment Analysis
10.4.1 Chemical Pick & Place
10.4.2 Drilling
10.4.3 Hold & Rotate
10.4.4 Painting
10.4.5 Striking, Punching & Blanking
10.4.6 Welding
10.4.7 Inspection
10.4.8 Cutting
10.4.9 Layout, Marking & Measurement
10.4.10 Grinding & Polishing
10.4.11 Other
Chapter 11. Global Motion Control Software in Robotics Market, by Motion Type
11.1. Market Snapshot
11.2. Global Motion Control Software in Robotics Market by Motion Type, Performance – Potential Analysis
11.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by Motion Type, 2019-2028 (USD Billion)
11.4. Motion Control Software in Robotics Market, Sub Segment Analysis
11.4.1 Linear
11.4.2 Rotatory
11.4.3 Oscillatory
11.4.4 Omni-Directionally
Chapter 12. Global Motion Control Software in Robotics Market, by End-User
12.1. Market Snapshot
12.2. Global Motion Control Software in Robotics Market by End-User, Performance – Potential Analysis
12.3. Global Motion Control Software in Robotics Market Estimates & Forecasts by End-User, 2019-2028 (USD Billion)
12.4. Motion Control Software in Robotics Market, Sub Segment Analysis
12.5.1 Manufacturing Industries
12.5.2 Oil & Gas
12.5.3 Healthcare
12.5.4 Research Academia
12.5.5 Others
Chapter 13. Global Motion Control Software in Robotics Market, Regional Analysis
13.1. Motion Control Software in Robotics Market, Regional Market Snapshot
13.2. North America Motion Control Software in Robotics Market
13.2.1. U.S. Motion Control Software in Robotics Market
13.2.1.1. Robotic Type breakdown estimates & forecasts, 2019-2028
13.2.1.2. Robotic System Type breakdown estimates & forecasts, 2019-2028
13.2.1.3. Application breakdown estimates & forecasts, 2019-2028
13.2.1.4. Offering breakdown estimates & forecasts, 2019-2028
13.2.1.5. Software breakdown estimates & forecasts, 2019-2028
13.2.1.6. Motion Type breakdown estimates & forecasts, 2019-2028
13.2.1.7. End-User breakdown estimates & forecasts, 2019-2028
13.2.2. Canada Motion Control Software in Robotics Market
13.3. Europe Motion Control Software in Robotics Market Snapshot
13.3.1. U.K. Motion Control Software in Robotics Market
13.3.2. Germany Motion Control Software in Robotics Market
13.3.3. France Motion Control Software in Robotics Market
13.3.4. Spain Motion Control Software in Robotics Market
13.3.5. Italy Motion Control Software in Robotics Market
13.3.6. Rest of Europe Motion Control Software in Robotics Market
13.4. Asia-Pacific Motion Control Software in Robotics Market Snapshot
13.4.1. China Motion Control Software in Robotics Market
13.4.2. India Motion Control Software in Robotics Market
13.4.3. Japan Motion Control Software in Robotics Market
13.4.4. Australia Motion Control Software in Robotics Market
13.4.5. South Korea Motion Control Software in Robotics Market
13.4.6. Rest of Asia Pacific Motion Control Software in Robotics Market
13.5. Latin America Motion Control Software in Robotics Market Snapshot
13.5.1. Brazil Motion Control Software in Robotics Market
13.5.2. Mexico Motion Control Software in Robotics Market
13.6. Rest of The World Motion Control Software in Robotics Market
Chapter 14. Competitive Intelligence
14.1. Top Market Strategies
14.2. Company Profiles
14.2.1. ABB Ltd.
14.2.1.1. Key Information
14.2.1.2. Overview
14.2.1.3. Financial (Subject to Data Availability)
14.2.1.4. End-User Summary
14.2.1.5. Recent Developments
14.2.2. Fanuc Robotics Company
14.2.3. Teradyne
14.2.4. Kuka AG
14.2.5. Yamaha Motor Co.
14.2.6. Yaskawa Electric Corp.
14.2.7. Denso Wave
14.2.8. Omron Corporation
14.2.9. Nachi Robotics System
14.2.10. Energid Technologies
Chapter 15. Research Process
15.1 Research Process
15.1.1 Data Mining
15.1.2 Analysis
15.1.3 Market Estimation
15.1.4 Validation
15.1.5 Publishing
15.2 Research Attributes
15.3 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.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
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.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.
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