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Global Industrial Robot Controller Market to reach USD 150.83 million by 2028

Global Industrial Robot Controller Market Size study, by Axis Type (Single Axis, Four Axis, Six Axis, Other Axis), by Robotic Type (SCARA Robot, Delta Robot, Cartesian/Gantry Robot, Articulated Robot, Collaborative Robot, Dual Arm Robot) and Regional Forecasts 2022-2028

Product Code: OIRIA-83137421
Publish Date: 30-04-2022
Page: 200

Global Industrial Robot Controller Market is valued at approximately USD 83.04 million in 2021 and is anticipated to grow with a healthy growth rate of more than 8.90 % over the forecast period 2022-2028. Industrial robot controllers are in charge of operating and monitoring industrial robots that are used in automation processes to execute tasks like lifting, welding, and assembling. They control the robotic arm and keep in touch with its surroundings. The controller is a computer that uses a combination of hardware and software to complete its functions. Rising demand for automation in robotics, rising deployment of robots in manufacturing units, and rising investments by manufacturers in advanced robotics technologies has driven the Market growth of Industrial robot controllers. For Instance: In April 2021, BMW i venture started investing in leading provider of vision software for logistics robots to robotize the vehicle supply chain and logistics. Also, rising advancements in robotics research and technologies and rising diversity in the development of robot controllers are most likely to boost the overall growth of the Industrial Robot Controller Market. However, high upfront cost of robot controllers can obstruct the Market’s expansion over the projection period of 2022-2028.
The key regions considered for the Global Industrial Robot Controller Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Rising adoption of robotic technologies by manufacturers is driving the Market growth in North America. Asia Pacific specifically China 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 rising government initiatives to adopt automated technologies.
Major Market players included in this report are:

Mitsubishi Electric Corporation
Omron Corporation

Denso Wave Incorporated

Motion Controls Robotics Inc.

NexCOM Inc.

Wynright Corporation

KUKA AG

Yaskawa Electric Corporation

Fanuc Corporation

Toshiba Machine Co. Ltd.

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 Axis Type:
Single Axis
Four Axis
Six Axis
Other Axis

By Robotic Type:
SCARA Robot
Delta Robot
Cartesian/Gantry Robot
Articulated Robot
Collaborative Robot
Dual Arm Robot

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, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Industrial Robot Controller 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. Industrial Robot Controller Market, by Region, 2020-2028 (USD Billion)
1.2.2. Industrial Robot Controller Market, by Axis Type, 2020-2028 (USD Billion)
1.2.3. Industrial Robot Controller Market, by Robot Type, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Industrial Robot Controller 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 Industrial Robot Controller Market Dynamics
3.1. Industrial Robot Controller Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Rising demand for Automation and Robotics
3.1.1.2. Rising deployment of robots in manufacturing units
3.1.1.3. Rising investments by manufacturers in advanced robotics technologies
3.1.2. Market Challenges
3.1.2.1. High upfront cost
3.1.2.2. Imposed restrictions on manufacturing activities during covid-19 pandemic
3.1.3. Market Opportunities
3.1.3.1. Rising advancements in robotics research and technologies
3.1.3.2. Rising diversity in the development of robot controllers

Chapter 4. Global Industrial Robot Controller 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 Industrial Robot Controller Market, by Axis Type
6.1. Market Snapshot
6.2. Global Industrial Robot Controller Market by Axis Type, Performance – Potential Analysis
6.3. Global Industrial Robot Controller Market Estimates & Forecasts by Axis Type, 2019-2028 (USD Billion)
6.4. Industrial Robot Controller Market, Sub Segment Analysis
6.4.1. Single Axis
6.4.2. Four Axis
6.4.3. Six Axis
6.4.4. Other Axis

Chapter 7. Global Industrial Robot Controller Market, by Robot Type
7.1. Market Snapshot
7.2. Global Industrial Robot Controller Market by Robot Type, Performance – Potential Analysis
7.3. Global Industrial Robot Controller Market Estimates & Forecasts by Robot Type, 2019-2028 (USD Billion)
7.4. Industrial Robot Controller Market, Sub Segment Analysis
7.4.1. SCARA Robot
7.4.2. Delta Robot
7.4.3. Cartesian/Gantry Robot
7.4.4. Articulated Robot
7.4.5. Collaborative Robot
7.4.6. Dual Arm Robot

Chapter 8. Global Industrial Robot Controller Market, Regional Analysis

8.1. Industrial Robot Controller Market, Regional Market Snapshot
8.2. North America Industrial Robot Controller Market
8.2.1. U.S. Industrial Robot Controller Market
8.2.1.1. Axis Type breakdown estimates & forecasts, 2019-2028
8.2.1.2. Robot Type breakdown estimates & forecasts, 2019-2028
8.2.2. Canada Industrial Robot Controller Market
8.3. Europe Industrial Robot Controller Market Snapshot
8.3.1. U.K. Industrial Robot Controller Market
8.3.2. Germany Industrial Robot Controller Market
8.3.3. France Industrial Robot Controller Market
8.3.4. Spain Industrial Robot Controller Market
8.3.5. Italy Industrial Robot Controller Market
8.3.6. Rest of Europe Industrial Robot Controller Market
8.4. Asia-Pacific Industrial Robot Controller Market Snapshot
8.4.1. China Industrial Robot Controller Market
8.4.2. India Industrial Robot Controller Market
8.4.3. Japan Industrial Robot Controller Market
8.4.4. Australia Industrial Robot Controller Market
8.4.5. South Korea Industrial Robot Controller Market
8.4.6. Rest of Asia Pacific Industrial Robot Controller Market
8.5. Latin America Industrial Robot Controller Market Snapshot
8.5.1. Brazil Industrial Robot Controller Market
8.5.2. Mexico Industrial Robot Controller Market
8.6. Rest of The World Industrial Robot Controller Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1 Mitsubishi Electric Corporation
9.2.1.1 Key Information
9.2.1.2 Overview
9.2.1.3 Financial (Subject to Data Availability)
9.2.1.4 Container Axis Type Summary
9.2.1.5 Recent Developments

9.2.2 Omron Corporation
9.2.3 Denso Wave Incorporated
9.2.4 Motion Controls Robotics Inc.
9.2.5 NexCOM Inc.
9.2.6 Wynright Corporation
9.2.7 KUKA AG
9.2.8 Yaskawa Electric Corporation
9.2.9 Fanuc Corporation
9.2.10 Toshiba Machine Co. Ltd.
Chapter 10. Research Process

10.1 Research Process
10.1.1 Data Mining
10.1.2 Analysis
10.1.3 Market Estimation
10.1.4 Validation
10.1.5 Publishing
10.2 Research Attributes
10.3 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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