The global motion control software in robotics market size is estimated to be worth around US$ 10.81 Billion in 2022. Owing to the increasing adoption of robots across diverse industries, the overall market is anticipated to grow at an impressive CAGR of 19.6% between 2022 and 2029, surpassing a valuation of US$ 37.86 Billion by 2029.
| Attribute | Details |
|---|---|
| Motion Control Software in Robotics Market Estimated Size in 2022 | US$ 10.81 Billion |
| Motion Control Software in Robotics Market Projected Size in 2029 | US$ 37.86 Billion |
| Motion Control Software in Robotics Market Historical CAGR (2014 to 2021) | 13.4% |
| Motion Control Software in Robotics Market Value-Based CAGR (2022 to 2029) | 19.6% |
With automation and robotics gradually taking over industries, the focus is now shifting toward robotics software. It is believed that innovation in software can take robotics to the next level in the future. Leading manufacturers are now focusing on developing new software features that allow better control of robots, quick customization of sequences, and improve overall efficiency. Currently, motion control software in the robotics market represents a 20.0% share of the global robotics market.
As per FMI, the linear segment will continue to lead the motion control software in robotics market, accounting for a share of 41.0% in 2022. The rising adoption of linear robotics due to their enhanced accuracy and low cost is triggering the growth of the segment.
Regionally, the Asia Pacific Excluding Japan (APEJ) remains at the epicenter of motion control software in robotics market growth on the back of rapid industrialization, increasing penetration of automation, and the heavy presence of leading market players.
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| Market Statistics | Details |
|---|---|
| H1,2021 (A) | 15.7% |
| H1,2022 Projected (P) | 16.7% |
| H1,2022 Outlook (O) | 17.2% |
| BPS Change : H1,2022 (O) - H1,2022 (P) | (+) 50 ↑ |
| BPS Change : H1,2022 (O) - H1,2021 (A) | (+) 150 ↑ |
Future Market Insights forecasts a review analysis of motion control software in robotics market. As per FMI, the BPS analysis from H1, 2022 - outlook over H1, 2022 projected reflects a growth of 50 units. The growth of motion control software in robotics market is fueled by the expanding use of automation and robotics in a variety of industries.
Leading industries including automotive, electrical & electronics, and chemicals are constantly embracing automation to boost efficiency and decrease human interference.
Moreover, as compared to H1-2021, the market is anticipated to grow by 150 points in H1-2022. More nations are heading in the direction of the fourth industrial revolution (Industry 4.0).
Several governments are urging businesses to utilize automation in order to boost productivity and increase worker safety. Also, the growing use of linear robotics due to their improved precision and low price is driving the market’s expansion. This further drives the growth of motion control software in robotics market.
The emphasis is now shifting towards robotics software, as automation and robotics are rapidly taking over industries. Robotic systems must include motion control software because it determines how a robot should move to complete predefined tasks.
The global motion control software in robotics market is set to expand at a prolific CAGR of 19.6% between 2022 and 2029 in comparison to the 13.4% CAGR registered from 2014 to 2021.
Rapid industrialization, increasing penetration of automation, the surge in workplace accidents, and rising adoption of robots across various end-use industries are some of the major factors driving the global motion control software in robotics market.
Motion control software is an essential component of robotic systems that dictates how a robot should move to do tasks that have already been defined. It provides the means to move the machine tooling or the part itself in a controlled and accurate manner.
Increasing penetration of automation and robotics in various industries is providing impetus to the growth of motion control software in robotics market. Leading industries such as automotive, electrical & electronics, and chemicals are continuously embracing automation to increase their productivity and reduce human intervention. This increase in the automation of factories has resulted in global demand for highly efficient and cost-effective motion control software in robotics.
The adoption of robots in industrial processes has significantly minimized human interference, cut down costs, and ruled out the chances of errors as well as workplace accidents. Today most of the work in the automotive and electronic industries is performed by robots.
According to the International Federation of Robotics (IFB), with around 3 million industrial robots operating in factories, the adoption of industrial robots increased by 10% in 2021.
Countries are increasingly moving towards the fourth industrial revolution (Industry 4.0). Various governments are encouraging industries to adopt automation for increasing productivity as well as improve workers' safety. This will further accelerate the growth of motion control software in robotics market over the forecast period.
Moreover, the introduction of robotic surgeries has provided a new thrust to the growth of motion control software in robotics market and the trend is likely to continue in the future. Healthcare experts are continuously employing robots for various applications such as surgeries, medical transportation, and sanitation. The adoption of these robots has completely transformed the healthcare industry.
Leading players are constantly focusing on developing new software features that will enable robots to perform multiple tasks with better efficiency. This will help them to attract more customers.
Ongoing advancements in robotic hardware components and intelligent software capabilities have paved way for the development of innovative products such as vision-guided robot systems and mobile manipulation robotic systems. These robotic systems have the ability to access environments that are hazardous to humans.
Spurred by the aforementioned factors, the motion control software in robotics market is set to expand 3.5X through 2029.
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Rising Need for Improving Industrial Safety Influencing the Growth of Motion Control Software in Robotics Market
With the increasing penetration of industrialization, there has been a substantial rise in the number of workplace accidents around the globe. According to the International Labour Organization (ILO), an estimated 2.3 million people succumb to work-related accidents and diseases every year. Furthermore, an estimated 340 million occupational accidents and 160 million victims of world-related illnesses are reported annually.
The increasing prevalence of these workplace accidents along with the rising need for improving industrial safety is encouraging the adoption of automation and robotics. This in turn is triggering the growth of motion control software in robotics market.
Industries are using collaborative robots as these are built to safely complement the work of manual processes. Collaborative robots have the ability to stop quickly when it collides with a human worker and this happens as collaborative robots have advanced motion control capabilities. This factor is increasing the demand for motion control software in the robotics market.
Collaborative robots (cobots) are gaining traction across various end-use industries. These robots are designed to safely work directly alongside human workers to complete tasks that cannot be fully automated. The adoption of these robots has significantly reduced the risk of impact or injury due to their advanced motion control capabilities aided by sensors.
As per FMI, the rising need for improving industrial safety will continue to accelerate the growth of motion control software in robotics market at a prolific pace during the forecast period.
Rising Penetration of Automation Driving Demand
China has become a global leader in robotics and motion control software in robotics market. The country is home to some of the leading robotics giants. Increasing penetration of automation, skyrocketing robot production, rising government support, and the presence of leading market players are some of the factors driving the motion control software in robotics market in China.
Amid rapid industrialization and increasing population, manufacturing industries across China are adopting robotics to increase their productivity as well as to lower manufacturing costs. According to the International Federation of Robotics (IFR), industrial robot installations in China grew strongly by 20% with around 168,400 units shipped. The increasing production and consumption of robots are creating a significant demand for motion control software.
One of the key features of the China motion control software in robotics market is the availability of innovative products at low costs. This is becoming a key strategy for market players to increase their sales. Moreover, increasing government support and penetration of modern technologies such as artificial intelligence (AI) and the internet of things (IoT) are anticipated to accelerate the motion control software in robotics market growth over the forecast period.
With increasing production and employment of industrial robots, China is projected to continue its supremacy in the global motion control software in robotics market over the forecast period.
Increasing Export Business of Robotics Creating Growth Prospects in Japan
As per FMI, Japan will remain one of the lucrative markets for motion control software in robotics during the forecast period. The Japan market is driven by increasing robot production, the rising adoption of automation in diverse industries, the presence of leading market players, and the growing popularity of industry 4.0.
Japan has become a promising market for motion control software in robotics. The country is home to some of the largest industrial robot manufacturers such as FANUC. Over the last few years, Japan has exported a large number of robots and automation technologies to the rest of the world. According to the World Robotics 2021 report by the International Federation of Robotics (IFR), 36% of the Japanese exports of robotics and automation technology were destined for China while 22% of the exports were shipped to the United States. Moreover, the adoption of new technologies such as collaborative robots and AI-enabled robots in manufacturing industries is gaining momentum in the country. These industrial robots help manufacturers to streamline various processes, increase efficiency, eliminate errors, and improve workplace safety.
Growing Popularity of Mobile Manipulation Robotic Systems Spurring Growth
The USA motion control software in robotics market is anticipated to grow at a stupendous CAGR over the forecast period from 2022 to 2029. The growing adoption of robotics across manufacturing, automotive, and healthcare industries is a major factor driving the USA motion control software in robotics.
With rapid urbanization and changing lifestyles, there has been a surge in demand for consumer goods, vehicles, and various other products. As a result, leading manufacturers in the country are embracing automation to increase productivity, reduce overall costs and make the workplace environment safer. This is opening growth avenues for motion control software in robotics in the country. Moreover, the growing popularity of robots in the medical and defense sectors will further accelerate the growth of the market in the country. A large number of advanced robots are being employed in healthcare settings for assisting doctors and nurses in various applications.
Leading robot manufacturing companies are developing innovative products such as mobile manipulation robotic systems for hazardous tasks across numerous industries, including aviation, energy, and oil and gas, to keep front-line workers out of harm’s way.
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The flexibility of Articulated Robots Makes Them Ideal for Adoption in Diverse Industries
As per FMI, the articulated robots segment dominated the global motion control software in robotics market, accounting for the largest share in 2022. Articulated robots come with rotary joints and can range from simple two-jointed structures to systems with 10 or more interacting joints. Thanks to their highly flexible nature, articulated robots provide more degrees of freedom and are thus commonly utilized by manufacturers.
They are being increasingly employed in diverse industries including automotive and chemicals, metal & metallurgy for applications like handling, assembling, welding, processing (cutting and polishing), testing, etc.
However, with the growing rising Adoption of SCARA Robots in the automotive and food industries, the SCARA segment is anticipated to grow at a marvelous pace during the forecast period.
Adoption of Manipulation Robotic Systems to Continue Growing in Manufacturing Facilities
Based on robotic system type, the global motion control software in robotics market has been segmented into manipulation robotic systems, mobile robotic systems, and data acquisition and data control robotic systems. Among these, the manipulation robotic system segment leads the motion control software in robotics market with a major share in 2022.
The manipulation robot system is the most commonly used robotic system type in manufacturing industries. This system is made of many robot arms with 4-6 axes and varying degrees of freedom. It can perform several different functions, including welding, material handling, and material removal applications.
The rising adoption of manipulation robotic systems across various industries is creating lucrative opportunities for growth in the market.
Increasing Factory Automation for Reducing Human Intervention Creating Demand
By application, the global motion control software in robotics market is categorized into industrial robots, medical robots, and consumer robots. Among these, the industrial robot segment accounts for the leading revenue share in 2022 and is likely to retain its dominant position in the motion control software in robotics market.
Factors such as rising labor costs, the surge in workplace accidents, and the increasing need for enhancing productivity are prompting manufacturers to adopt automation in their facilities. This is providing impetus to the growth of motion control software in robotics market.
Industrial robots are being increasingly employed for applications like part assembling, welding, painting, inspection, etc.
However, with the growing popularity of robotics in the healthcare industry, the medical robotics segment is anticipated to grow at a faster CAGR over the forecast period.
Pick & Place Remains a Highly Sought-After Robotics Software in Various Industries
Based on software, the pick & place segment leads the global motion control software in robotics market in 2022 and is projected to grow at an impressive pace over the forecast period. The rising adoption of pick & place software across some major manufacturing industries for increasing productivity and reducing labor costs is a major factor driving the growth of this segment.
Pick & place robotics are among the most adopted industrial robots in industries like automobile, aerospace, embedded system, etc. to speed up the manufacturing process in the assembly line. These robots offer advantages such as uninterrupted speed, reliability, inspection, sorting, accuracy, and dexterity. They can perform multiple tasks of picking and packing at high speed without the need for breaks.
Leading market players such as FANUC are constantly developing robotic software made specifically for pick-and-place robotic operations.
Higher Accuracy and Low-Cost Features Making Linear Robots Popular
Based on motion type, the global motion software control in robotics market is segmented into linear, rotary, oscillatory, and omnidirectional. Among these, the linear segment will continue to dominate the motion control software in robotics market, accounting for a share of 41.0% in 2022.
Linear motion-type robots are industrial robots with two or three principal axes that move in a straight line rather than rotate, functioning at right angles to each other. They require motion control software to move in a straight direction.
As there are no rotating axes, linear robotics have a higher degree of accuracy which makes them the ideal automation solution for various mundane repetitive tasks.
Linear motion robots are more economical than other types and are being increasingly used for applications such as pick and place. Rising demand for linear robots across various end-use industries will continue to drive motion control software in robotics market in the future.
Increasing Adoption of Automation in Manufacturing Processes Spurring Demand
As per FMI, manufacturing industries account for the largest revenue share in 2022 and are anticipated to continue their dominance in motion control software in robotics market throughout the forecast period. This is attributable to the increasing usage of robotics software in manufacturing industries for doing repetitive tasks like assembling, material handling, and picking and placing.
Over the last few years, there has been a substantial rise in the adoption of industrial robots in automotive, chemical, power, and several other manufacturing sectors. Manufacturers are increasingly employing robots for complex processes in order to increase overall efficiency as well as to reduce errors. This is creating demand for motion control software in robotics across manufacturing industries.
Moreover, increasing penetration of automation in manufacturing facilities across developing regions is anticipated to create growth prospects for the motion control software market during the forecast period.
Leading market players operating in motion control software in robotics are constantly upgrading their product offerings. They have adopted various organic and inorganic strategies such as mergers, partnerships, collaborations, and acquisitions to dominate the market. For instance,
| Attribute | Details |
|---|---|
| Historical Data Available for | 2014 to 2021 |
| Forecast Period | 2022 to 2029 |
| Market Analysis | Units for Volume and USD Million for Value |
| Key Regions Covered | North America; Latin America; Eastern Europe; Western Europe; Asia Pacific Excluding Japan; Japan; the Middle East; and Africa. |
| Key Countries Covered | USA, Canada, Mexico, Brazil, Germany, United Kingdom, France, Italy, Spain, Russia, Poland, China, Japan, South Korea, India, ASEAN, Turkey, and South Africa |
| Key Segments Covered | Robot Type, Robotic System Type, Application, Offering, Software, Motion Type, End Use, and Region |
| Key Companies Profiled | ABB Ltd; Fanuc; Teradyne; KUKA AG; Yamaha; Yaskawa Electric Corp; Denso Wave; Omron Corporation; Nachi Robotics System |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities, and Threats Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
| Customization & Pricing | Available upon Request |
The motion control software in robotics market is estimated to be worth around US$ 10.81 Billion in 2022.
As per FMI, the motion control software in robotics market is forecast to register a CAGR of prolific CAGR of 19.6% between 2022 and 2029
The motion control software in robotics market grew at a CAGR of 13.4% between 2014 and 2021.
The growing popularity of mobile robot systems, increasing adoption of automation, and innovations in motion control software are some of the key trends shaping market growth.
ABB Ltd, Fanuc, Teradyne, KUKA AG, Yamaha, Yaskawa Electric Corp, Denso Wave, Omron Corporation, and Nachi Robotics System are some of the leading players operating in the motion control software in robotics market.
1. Executive Summary | Motion Control Software in Robotics Market 1.1. Market Overview 1.2. Market Analysis 1.3. Analysis and Recommendations 2. Market Introduction 2.1. Market Definition 2.2. Technology Roadmap 2.3. Market Taxonomy 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Development Trends 4. Global Market Demand (in Value or Size in US$ Million) Analysis 2014 to 2021 and Forecast, 2022 to 2029 4.1. Historical Market Value (US$ Million) Analysis, 2014 to 2021 4.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2029 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Market Background 5.1. Macro-Economic Factors 5.2. Forecast Factors 5.3. Value chain 5.4. Market Dynamics 5.4.1. Drivers 5.4.2. Restraints 5.4.3. Opportunity Analysis 6. Global Market Analysis by Robot Type 6.1. Introduction / Key Findings 6.1.1. Articulated 6.1.2. Cartesian 6.1.3. Cylindrical 6.1.4. Polar 6.1.5. SCARA 6.1.6. Delta 6.2. Market Attractiveness Analysis by Robot Type 7. Global Market Analysis by Robotic System Type 7.1. Introduction / Key Findings 7.1.1. Manipulation Robotic System 7.1.2. Mobile Robotic System 7.1.3. Data Acquisition & Control Robot 7.2. Market Attractiveness Analysis by Robotic System Type 8. Global Market Analysis by Application 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) and Analysis By Application, 2014 to 2021 8.3. Current and Future Market Siz 8.4. e (US$ Million) and Analysis and Forecast By Application, 2022 to 2029 8.4.1. Industrial Robot 8.4.1.1. Assembly Line 8.4.1.2. Inspection 8.4.1.3. Warehouse 8.4.1.4. AGVs 8.4.1.5. Other 8.4.2. Medical Robot 8.4.2.1. Surgical Robot 8.4.2.2. Medical Transportation 8.4.2.3. Dispensing 8.4.2.4. Sanitation & Disinfection 8.4.3. Consumer Robot 8.4.3.1. Indoor 8.4.3.2. Outdoor 8.5. Market Attractiveness Analysis by Application 9. Global Market Analysis by Offering 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) and Analysis By Offering, 2014 to 2021 9.3. Current and Future Market Size (US$ Million) and Analysis and Forecast By Offering, 2022 to 2029 9.3.1. Standard 9.3.2. Customized 9.4. Market Attractiveness Analysis by Offering 10. Global Market Analysis by Software 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Million) and Analysis By Offering, 2014 to 2021 10.3. Current and Future Market Size (US$ Million) and Analysis and Forecast By Software, 2022 to 2029 10.3.1. Pick & Place 10.3.2. Drilling 10.3.3. Hold & Rotate 10.3.4. Painting 10.3.5. Striking, Punching & Blanking 10.3.6. Welding 10.3.7. Inspection 10.3.8. Cutting 10.3.9. Layout, Marking & Measurement 10.3.10. Grinding & Polishing 10.3.11. Other 10.4. Market Attractiveness Analysis by Offering 11. Global Market Analysis By Software By Motion Type 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Million) and Analysis By Offering, 2014 to 2021 11.3. Current and Future Market Size (US$ Million) and Analysis and Forecast By Software By Motion Type, 2022 to 2029 11.3.1. Linear 11.3.2. Rotary 11.3.3. Oscillatory 11.3.4. OMillioni Directional 11.4. Market Attractiveness Analysis By Software By Motion Type 12. Global Market Analysis by End Use 12.1. Introduction / Key Findings 12.2. Historical Market Size (US$ Million) and Analysis By Offering, 2014 to 2021 12.3. Current and Future Market Size (US$ Million) and Analysis and Forecast By Software, 2022 to 2029 12.3.1. Manufacturing Industries 12.3.1.1. Automotive, Aerospace & Shipbuilding 12.3.1.2. Pharmaceutical 12.3.1.3. Mining & Metallurgy 12.3.1.4. Power 12.3.1.5. Consumer Electronics & Appliance 12.3.1.6. Electrical and Heavy Machinery 12.3.1.7. Chemical & Agrochemical 12.3.1.8. Other 12.3.2. Oil & Gas 12.3.3. Healthcare 12.3.4. Research & Academia 12.3.5. Others 12.4. Market Attractiveness Analysis by End Use 13. Global Market Analysis by Region 13.1. Introduction 13.2. Historical Market Size (US$ Million) and Analysis By Region, 2014 to 2021 13.3. Current Market Size (US$ Million) and Analysis and Forecast By Region, 2022 to 2029 13.3.1. North America 13.3.2. Latin America 13.3.3. Eastern Europe 13.3.4. Western Europe 13.3.5. Asia Pacific excluding Japan (APEJ) 13.3.6. Japan 13.3.7. Middle East & Africa (MEA) 13.4. Market Attractiveness Analysis by Region 14. North America Market Analysis 2014 to 2021 and Forecast 2022 to 2029 14.1. Introduction 14.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 14.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 14.3.1. By Country 14.3.1.1. USA 14.3.1.2. Canada 14.3.2. By Robot Type 14.3.3. By Robotic System Robot Type 14.3.4. By Application 14.3.5. By Offering 14.3.6. By Software 14.3.7. By Software By Motion Type 14.3.8. By End Use 14.4. Market Attractiveness Analysis 14.4.1. By Country 14.4.2. By Robot Type 14.4.3. By Robotic System Robot Type 14.4.4. By Application 14.4.5. By Offering 14.4.6. By Software 14.4.7. By Software By Motion Type 14.4.8. By End Use 14.5. Market Trends 14.6. Key Market Participants - Intensity Mapping 14.7. Drivers and Restraints - Impact Analysis 15. Latin America Market Analysis 2014 to 2021 and Forecast 2022 to 2029 15.1. Introduction 15.2. Historical Market Size (US$ Million) Analysis By Market Taxonomy, 2014 to 2021 15.3. Market Size (US$ Million) Forecast By Market Taxonomy, 2022 to 2029 15.3.1. By Country 15.3.1.1. Brazil 15.3.1.2. Mexico 15.3.1.3. Rest of Latin America 15.3.2. By Robot Type 15.3.3. By Robotic System Robot Type 15.3.4. By Application 15.3.5. By Offering 15.3.6. By Software 15.3.7. By Software By Motion Type 15.3.8. By End Use 15.4. Market Attractiveness Analysis 15.4.1. By Country 15.4.2. By Robot Type 15.4.3. By Robotic System Robot Type 15.4.4. By Application 15.4.5. By Offering 15.4.6. By Software 15.4.7. By Software By Motion Type 15.4.8. By End Use 15.5. Market Trends 15.6. Key Market Participants - Intensity Mapping 15.7. Drivers and Restraints - Impact Analysis 16. Western Europe Market Analysis 2014 to 2021 and Forecast 2022 to 2029 16.1. Introduction 16.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 16.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 16.3.1. By Country 16.3.1.1. Germany 16.3.1.2. Italy 16.3.1.3. France 16.3.1.4. United Kingdom 16.3.1.5. Spain 16.3.1.6. BENELUX 16.3.1.7. Rest of Europe 16.3.2. By Robot Type 16.3.3. By Robotic System Robot Type 16.3.4. By Application 16.3.5. By Offering 16.3.6. By Software 16.3.7. By Software By Motion Type 16.3.8. By End Use 16.4. Market Attractiveness Analysis 16.4.1. By Country 16.4.2. By Robot Type 16.4.3. By Robotic System Robot Type 16.4.4. By Application 16.4.5. By Offering 16.4.6. By Software 16.4.7. By Software By Motion Type 16.4.8. By End Use 16.5. Market Trends 16.6. Key Market Participants - Intensity Mapping 16.7. Drivers and Restraints - Impact Analysis 17. Eastern Europe Market Analysis 2014 to 2021 and Forecast 2022 to 2029 17.1. Introduction 17.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 17.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 17.3.1. By Country 17.3.1.1. Russia 17.3.1.2. Poland 17.3.1.3. Rest of Eastern Europe 17.3.2. By Robot Type 17.3.3. By Robotic System Robot Type 17.3.4. By Application 17.3.5. By Offering 17.3.6. By Software 17.3.7. By Software By Motion Type 17.3.8. By End Use 17.4. Market Attractiveness Analysis 17.4.1. By Country 17.4.2. By Robot Type 17.4.3. By Robotic System Robot Type 17.4.4. By Application 17.4.5. By Offering 17.4.6. By Software 17.4.7. By Software By Motion Type 17.4.8. By End Use 17.5. Market Trends 17.6. Key Market Participants - Intensity Mapping 17.7. Drivers and Restraints - Impact Analysis 18. Asia Pacific excluding Japan Market Analysis 2014 to 2021 and Forecast 2022 to 2029 18.1. Introduction 18.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 18.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 18.3.1. By Country 18.3.1.1. China 18.3.1.2. India 18.3.1.3. Indonesia 18.3.1.4. Malaysia 18.3.1.5. South Korea 18.3.2. By Robot Type 18.3.3. By Robotic System Robot Type 18.3.4. By Application 18.3.5. By Offering 18.3.6. By Software 18.3.7. By Software By Motion Type 18.3.8. By End Use 18.4. Attractiveness Analysis 18.4.1. By Country 18.4.2. By Robot Type 18.4.3. By Robotic System Robot Type 18.4.4. By Application 18.4.5. By Offering 18.4.6. By Software 18.4.7. By Software By Motion Type 18.4.8. By End Use 18.5. Market Trends 18.6. Key Market Participants - Intensity Mapping 18.7. Drivers and Restraints - Impact Analysis 19. Japan Market Analysis 2014 to 2021 and Forecast 2022 to 2029 19.1. Introduction 19.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 19.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 19.3.1. By Robot Type 19.3.2. By Robotic System Robot Type 19.3.3. By Application 19.3.4. By Offering 19.3.5. By Software 19.3.6. By Software By Motion Type 19.3.7. By End Use 19.4. Market Attractiveness Analysis 19.4.1. By Country 19.4.2. By Robot Type 19.4.3. By Robotic System Robot Type 19.4.4. By Application 19.4.5. By Offering 19.4.6. By Software 19.4.7. By Software By Motion Type 19.4.8. By End Use 19.5. Market Trends 19.6. Key Market Participants - Intensity Mapping 19.7. Drivers and Restraints - Impact Analysis 20. Middle East and Africa Market Analysis 2014 to 2021 and Forecast 2022 to 2029 20.1. Introduction 20.2. Historical Market Size (US$ Million) and Trend Analysis By Market Taxonomy, 2014 to 2021 20.3. Market Size (US$ Million) and Forecast By Market Taxonomy, 2022 to 2029 20.3.1. By Country 20.3.1.1. GCC Countries 20.3.1.2. Turkey 20.3.1.3. Northern Africa 20.3.1.4. South Africa 20.3.1.5. Rest of Middle East and Africa 20.3.2. By Robot Type 20.3.3. By Robotic System Robot Type 20.3.4. By Application 20.3.5. By Offering 20.3.6. By Software 20.3.7. By Software By Motion Type 20.3.8. By End Use 20.4. Market Attractiveness Analysis 20.4.1. By Country 20.4.2. By Robot Type 20.4.3. By Robotic System Robot Type 20.4.4. By Application 20.4.5. By Offering 20.4.6. By Software 20.4.7. By Software By Motion Type 20.4.8. By End Use 20.5. Market Trends 20.6. Key Market Participants - Intensity Mapping 20.7. Drivers and Restraints - Impact Analysis 21. Emerging Countries Market Analysis 2014 to 2021 and Forecast 2022 to 2029 21.1. Introduction 21.1.1. Market Value Proportion Analysis, By Key Countries 21.1.2. Global Vs. Country Growth Comparison 21.2. China Market Analysis 21.2.1. Introduction 21.2.2. Pricing Analysis 21.2.3. PEST Analysis 21.2.4. Market Value Proportion Analysis by Market Taxonomy 21.2.5. Market Volume (Million Units) and Value (US$ Million) Analysis and Forecast by Market Taxonomy 21.2.5.1. By Robot Type 21.2.5.2. By Robotic System Robot Type 21.2.5.3. By Application 21.2.5.4. By Offering 21.2.5.5. By Software 21.2.5.6. By Software By Motion Type 21.2.5.7. By End Use 21.2.6. China Market - Competition Landscape 21.2.7. China - Trade Analysis 21.3. India Market Analysis 21.3.1. Introduction 21.3.2. Pricing Analysis 21.3.3. PEST Analysis 21.3.4. Market Value Proportion Analysis by Market Taxonomy 21.3.5. Market Volume (Million Units) and Value (US$ Million) Analysis and Forecast by Market Taxonomy 21.3.5.1. By Robot Type 21.3.5.2. By Robotic System Robot Type 21.3.5.3. By Application 21.3.5.4. By Offering 21.3.5.5. By Software 21.3.5.6. By Software By Motion Type 21.3.5.7. By End Use 21.3.6. India Market - Competition Landscape 21.4. Mexico Market Analysis 21.4.1. Introduction 21.4.2. Pricing Analysis 21.4.3. PEST Analysis 21.4.4. Market Value Proportion Analysis by Market Taxonomy 21.4.5. Market Volume (Million Units) and Value (US$ Million) Analysis and Forecast by Market Taxonomy 21.4.5.1. By Robot Type 21.4.5.2. By Robotic System Robot Type 21.4.5.3. By Application 21.4.5.4. By Offering 21.4.5.5. By Software 21.4.5.6. By Software By Motion Type 21.4.5.7. By End Use 21.4.6. Mexico Market - Competition Landscape 22. Market Structure Analysis 22.1. Market Analysis by Tier of Companies 22.2. Market Concentration 22.3. Market Share Analysis of Top Players 22.4. Market Presence Analysis 22.4.1. By Regional footprint of Players 22.4.2. Product foot print by Players 22.4.3. Channel Foot Print by Players 22.5. Technology Roadmap 23. Competition Analysis 23.1. Competition Dashboard 23.2. Competition Benchmarking 23.3. Competition Development 23.4. Competition Deep Dive 23.4.1. Teradyne Inc. 23.4.1.1. Overview 23.4.1.2. Product Portfolio 23.4.1.3. Profitability by Market Segments (Product/Channel/Region) 23.4.1.4. Sales Footprint 23.4.1.5. Strategy Overview 23.4.1.5.1. Marketing Strategy 23.4.1.5.2. Product Strategy 23.4.1.5.3. Channel Strategy 23.4.2. ABB Ltd 23.4.2.1. Overview 23.4.2.2. Product Portfolio 23.4.2.3. Profitability by Market Segments (Product/Channel/Region) 23.4.2.4. Sales Footprint 23.4.2.5. Strategy Overview 23.4.2.5.1. Marketing Strategy 23.4.2.5.2. Product Strategy 23.4.2.5.3. Channel Strategy 23.4.3. Yaskawa Electric Corporation 23.4.3.1. Overview 23.4.3.2. Product Portfolio 23.4.3.3. Profitability by Market Segments (Product/Channel/Region) 23.4.3.4. Sales Footprint 23.4.3.5. Strategy Overview 23.4.3.5.1. Marketing Strategy 23.4.3.5.2. Product Strategy 23.4.3.5.3. Channel Strategy 23.4.4. KUKA AG 23.4.4.1. Overview 23.4.4.2. Product Portfolio 23.4.4.3. Profitability by Market Segments (Product/Channel/Region) 23.4.4.4. Sales Footprint 23.4.4.5. Strategy Overview 23.4.4.5.1. Marketing Strategy 23.4.4.5.2. Product Strategy 23.4.4.5.3. Channel Strategy 23.4.5. Fanuc Corporation 23.4.5.1. Overview 23.4.5.2. Product Portfolio 23.4.5.3. Profitability by Market Segments (Product/Channel/Region) 23.4.5.4. Sales Footprint 23.4.5.5. Strategy Overview 23.4.5.5.1. Marketing Strategy 23.4.5.5.2. Product Strategy 23.4.5.5.3. Channel Strategy 23.4.6. Ormon Corporation 23.4.6.1. Overview 23.4.6.2. Product Portfolio 23.4.6.3. Profitability by Market Segments (Product/Channel/Region) 23.4.6.4. Sales Footprint 23.4.6.5. Strategy Overview 23.4.6.5.1. Marketing Strategy 23.4.6.5.2. Product Strategy 23.4.6.5.3. Channel Strategy 23.4.7. Mitsubishi Robotics 23.4.7.1. Overview 23.4.7.2. Product Portfolio 23.4.7.3. Profitability by Market Segments (Product/Channel/Region) 23.4.7.4. Sales Footprint 23.4.7.5. Strategy Overview 23.4.7.5.1. Marketing Strategy 23.4.7.5.2. Product Strategy 23.4.7.5.3. Channel Strategy 23.4.8. Energrid Technologies Corporation 23.4.8.1. Overview 23.4.8.2. Product Portfolio 23.4.8.3. Profitability by Market Segments (Product/Channel/Region) 23.4.8.4. Sales Footprint 23.4.8.5. Strategy Overview 23.4.8.5.1. Marketing Strategy 23.4.8.5.2. Product Strategy 23.4.8.5.3. Channel Strategy 23.4.9. Mitsubishi Electric Corporation 23.4.9.1. Overview 23.4.9.2. Product Portfolio 23.4.9.3. Profitability by Market Segments (Product/Channel/Region) 23.4.9.4. Sales Footprint 23.4.9.5. Strategy Overview 23.4.9.5.1. Marketing Strategy 23.4.9.5.2. Product Strategy 23.4.9.5.3. Channel Strategy 23.4.10. SOFT SERVO SYSTEMS, INC. 23.4.10.1. Overview 23.4.10.2. Product Portfolio 23.4.10.3. Profitability by Market Segments (Product/Channel/Region) 23.4.10.4. Sales Footprint 23.4.10.5. Strategy Overview 23.4.10.5.1. Marketing Strategy 23.4.10.5.2. Product Strategy 23.4.10.5.3. Channel Strategy 23.4.11. Apex Automation & Robotics 23.4.11.1. Overview 23.4.11.2. Product Portfolio 23.4.11.3. Profitability by Market Segments (Product/Channel/Region) 23.4.11.4. Sales Footprint 23.4.11.5. Strategy Overview 23.4.11.5.1. Marketing Strategy 23.4.11.5.2. Product Strategy 23.4.11.5.3. Channel Strategy 23.4.12. Rethink Robots 23.4.12.1. Overview 23.4.12.2. Product Portfolio 23.4.12.3. Profitability by Market Segments (Product/Channel/Region) 23.4.12.4. Sales Footprint 23.4.12.5. Strategy Overview 23.4.12.5.1. Marketing Strategy 23.4.12.5.2. Product Strategy 23.4.12.5.3. Channel Strategy 23.4.13. Valin 23.4.13.1. Overview 23.4.13.2. Product Portfolio 23.4.13.3. Profitability by Market Segments (Product/Channel/Region) 23.4.13.4. Sales Footprint 23.4.13.5. Strategy Overview 23.4.13.5.1. Marketing Strategy 23.4.13.5.2. Product Strategy 23.4.13.5.3. Channel Strategy 23.4.14. Cross Company 23.4.14.1. Overview 23.4.14.2. Product Portfolio 23.4.14.3. Profitability by Market Segments (Product/Channel/Region) 23.4.14.4. Sales Footprint 23.4.14.5. Strategy Overview 23.4.14.5.1. Marketing Strategy 23.4.14.5.2. Product Strategy 23.4.14.5.3. Channel Strategy 23.4.15. Nachi Robotics System 23.4.15.1. Overview 23.4.15.2. Product Portfolio 23.4.15.3. Profitability by Market Segments (Product/Channel/Region) 23.4.15.4. Sales Footprint 23.4.15.5. Strategy Overview 23.4.15.5.1. Marketing Strategy 23.4.15.5.2. Product Strategy 23.4.15.5.3. Channel Strategy 23.4.16. Denso wave 23.4.16.1. Overview 23.4.16.2. Product Portfolio 23.4.16.3. Profitability by Market Segments (Product/Channel/Region) 23.4.16.4. Sales Footprint 23.4.16.5. Strategy Overview 23.4.16.5.1. Marketing Strategy 23.4.16.5.2. Product Strategy 23.4.16.5.3. Channel Strategy 23.4.17. Epson Robots 23.4.17.1. Overview 23.4.17.2. Product Portfolio 23.4.17.3. Profitability by Market Segments (Product/Channel/Region) 23.4.17.4. Sales Footprint 23.4.17.5. Strategy Overview 23.4.17.5.1. Marketing Strategy 23.4.17.5.2. Product Strategy 23.4.17.5.3. Channel Strategy 23.4.18. Yamaha Robots 23.4.18.1. Overview 23.4.18.2. Product Portfolio 23.4.18.3. Profitability by Market Segments (Product/Channel/Region) 23.4.18.4. Sales Footprint 23.4.18.5. Strategy Overview 23.4.18.5.1. Marketing Strategy 23.4.18.5.2. Product Strategy 23.4.18.5.3. Channel Strategy 23.4.19. Universal Robot 23.4.19.1. Overview 23.4.19.2. Product Portfolio 23.4.19.3. Profitability by Market Segments (Product/Channel/Region) 23.4.19.4. Sales Footprint 23.4.19.5. Strategy Overview 23.4.19.5.1. Marketing Strategy 23.4.19.5.2. Product Strategy 23.4.19.5.3. Channel Strategy 23.4.20. RobotWorx 23.4.20.1. Overview 23.4.20.2. Product Portfolio 23.4.20.3. Profitability by Market Segments (Product/Channel/Region) 23.4.20.4. Sales Footprint 23.4.20.5. Strategy Overview 23.4.20.5.1. Marketing Strategy 23.4.20.5.2. Product Strategy 23.4.20.5.3. Channel Strategy 24. Assumptions and Acronyms Used 25. Research Methodology
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December 2024
REP-NA-142
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Motion Control Software in Robotics Market
