The global collaborative robots demand is subjected to register a CAGR of 25.1%. The market revenue is likely to be valued at US$ 2.2 billion in 2023 and exhibit a revenue growth of US$ 20.5 billion by 2033.
Global Trends & Scopes Transforming the Collaborative Robots Market
SMEs are looking for automation to help them accomplish more with less and grow their operations in the face of manpower shortages, disruptive technology, and new commercial demands. SME automation allows businesses to remove time-consuming, repetitive, and possibly dangerous manual procedures, improve quality, and take on more work without incurring additional labor expenditures.
Collaborative robots (cobots) can assist industrial SMEs in introducing automated welding at a lower cost and providing an efficient approach to upskilling teams. OEM and automation integrator collaborative robot solutions combine dependable robot arms with a lightweight, simple-to-install control box. They are perfect for integrators, machine builders, and end users who require the control box to be integrated into the main control panel.
The e-Series cobots, developed by a certain market participant, are equipped with straightforward programming, diverse use, and an almost infinite list of addon possibilities. Regardless of your sector, business size, or product type, the e-Series may supplement production. This cobot was created with the future in mind, and it is intended to develop capabilities with enterprises. It takes on new jobs and discovers new applications so that the end user may constantly remain ahead of their competitors.
A type of intelligent product is another significant company's series of collaborative robots. It is designed for the visual guidance needed by the arm in an industrial automation situation. The device uses the arm as its core and combines a unique vision controller, special vision software, an industrial camera, and a light source module to allow users for completing vision hardware configuration quickly on-site. It also meets the arm's visual guidance needs in a variety of complex settings.
Key players have been creating robots for 50 years, with the primary goal of enhancing the productivity of their own vehicle component production operations. Key players have just unveiled a new collaborative robot that is human-friendly, tiny, and portable.
As the lifecycles of medical and cosmetic products shorten, collaborative automation improves production agility. Key players' robot arms may be employed to increase productivity and maintain constant quality before being easily redeployed for new product lines. Throughout the business, cobots are used to maintain machines and conveyors, accurately assemble gadgets and goods, and prepare and package things into blister packs, cartons, or pallets.
| Attributes | Details |
|---|---|
| Collaborative Robots Market HCAGR (2017 to 2022) | 31.9% |
| Collaborative Robots Market CAGR (2023 to 2033) | 25.1% |
| Market Size for Collaborative Robots (2023) | US$ 2.2 billion |
| Market Size for Collaborative Robots (2033) | US$ 20.5 billion |
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In the global market, collaborative robot sales recorded stellar growth of 50.4% CAGR from the period 2014 to 2021. This market is anticipated to record a 26% CAGR rate from 2022 to 2029 according to FMI. There is an increase in the use of these robots for several industrial applications including material handling, inspection, and assembly/disassembly due to the attribute. Furthermore, there are a few other factors anticipated to fuel the demand for collaborative robot sales such as the increasing investments in assembly automation and the growing adoption from both small and medium enterprises. The market revenue is estimated to grow to US$ 20.5 billion by 2033.
The high initial expenses of robots preclude most businesses from fully automating their processes using robots. The average selling price of a cobot ranges from US$ 25,000 to US$ 50,000, not including installation charges. Furthermore, there is a training expense connected with the robots, which limits the operators' willingness to integrate robots into their operating lines. The robotics market is hampered by the slow adoption of collaborative robotic systems by small and medium-sized businesses. High labor expenses, on the other hand, are expected to fuel the collaborative robot market throughout the projection period.
Robots are being used by numerous manufacturing activities around the area as technology progresses and applications become broader and adaptable. Collaborated robotics for automotive applications has seen a significant increase in recent years, owing to the growth of automotive plants in prominent economies of Asia Pacific such as China, India, and Vietnam, as well as increased demand for automotive robots from automakers in North America. Several famous automakers have deployed cobots on their manufacturing floors to do a variety of tasks such as welding, automobile painting, and assembly line operations.
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| Country | United States |
|---|---|
| CAGR (2023 to 2033) | 18.5% |
| HCAGR (2017 to 2022) | 28.9% |
| Country | Germany |
|---|---|
| CAGR (2023 to 2033) | 23.3% |
| HCAGR (2017 to 2022) | 25.5% |
| Country | China |
|---|---|
| CAGR (2023 to 2033) | 28.8% |
| HCAGR (2017 to 2022) | 40.4% |
| Country | Japan |
|---|---|
| CAGR (2023 to 2033) | 18.7% |
| HCAGR (2017 to 2022) | 26.3% |
| Country | South Korea |
|---|---|
| CAGR (2023 to 2033) | 19% |
| HCAGR (2017 to 2022) | 32.1% |
| Attributes | Details |
|---|---|
| United States Market Size (2033) | US$ 1.4 billion |
| United States Market Absolute Dollar Growth (US$ million/billion) | US$ 1.2 billion |
The United States accounts for 18.5% of overall sales in North America, making it a substantial collaborative robots market. The collaborative robots market in the United States is expected to reach a high of US$ 1.4 billion. Material handling is expected to account for the bulk of the global collaborative robot market because of its widespread adoption in a variety of end-use industries. Demand for high-speed and accurate work, for instance, is met by collaborative robots, which benefits the electronics and semiconductors industries on a huge scale.
Companies of all sizes are using industrial collaborative robots, or cobots, in their operations to alleviate labor difficulties, enhance productivity, and improve quality. A particular market player's OB7 collaborative robots are the simplest and most adaptable cobots for automating thousands of industrial production jobs across all sectors. Key automotive manufacturers have suggested intelligent factories, with the goal of increasing production flexibility through improved human-robot interaction.
Material handling cobots' skills are being enhanced by technological breakthroughs. Not only may human employees collaborate with material-handling cobots, but emerging exoskeleton technologies allow them to be worn by human workers. Humans wear full-body exoskeletons, which are designed to carry high weights of up to 200 pounds, to give additional strength and endurance for repetitive operations involving heavy equipment or components.
| Attributes | Details |
|---|---|
| Germany Market Size (2033) | US$ 1.5 billion |
| Germany Market Absolute Dollar Growth (US$ million/billion) | US$ 1.3 billion |
Germany is a strong market, with a forecasted value of US$ 1.5 billion and a revenue growth rate of 23.3% during the projection period. Cobots are precise, accurate, and dependable in Germany. The operating radius, weight, and floor area of the various versions vary. Therefore, they may be easily tailored to the specific application needs. Furthermore, they are simple to combine with other equipment, signifying a significant step toward developing an intelligent industrial environment in which humans and robots coexist.
Advances in digitalization and automation are expected to revolutionize welding manufacturing methods in the future. Welding using collaborative robots may relieve valued professionals of arduous regular and repetitive operations, especially when manually welding conventional sheet metal components. Moreover, project-specific gadgets are no longer required. A cobot, for instance, is employed as a universal assembly machine in German facilities, with a manually changing selection of tools such as vacuum grippers, potting dispensers, laminating rollers, or test stamps. The key benefit is that change-over periods for different customer-specific goods are incredibly quick.
Due to the advancements in sensors and programming, collaborative robot arms are becoming helpful for a variety of applications. In 2019, Han's Robot Germany GmbH, which branched out from Shenzhen Han's Robot Co., claimed to have built the world's first commercially viable cognitive robot. Han's Robot Germany's team, comprised of members of the Fraunhofer Association, the German Artificial Intelligence Research Center, and Hamburg Technical University, planned to complete the robot by 2020.
| Attributes | Details |
|---|---|
| China Market Size (2033) | US$ 11.9 billion |
| China Market Absolute Dollar Growth (US$ million/billion) | US$ 10.9 billion |
Asia Pacific is an economic powerhouse for the collaborative robots market, with key corporations in China and South Korea. With a revenue share of 28.8%, China dominates and profits from the collaborative robots market. The market for collaborative robots in China is anticipated to be worth US$ 11.9 billion. According to Interact Analysis, China's market share by shipments climbed by around 49.1% in 2021 and is predicted to augment to a stunning 54.4% in 2026. (At which point annual unit shipments may exceed 50,000).
The government intends to increase the number of robots in China. In December 2021, China's Ministry of Sector and Information Technology unveiled a five-year robotics strategy that intended for the country's robot industry to develop at a 20 percent yearly pace from 2021 to 2025. For the past eight years, China has been the world's dominant market for industrial robots. According to Wang Weiming, a ministry official, China intends to treble its manufacturing robot density by 2025.
China is strategically positioned to gain from cobots. Despite the fact that international robot manufacturers are well-entrenched and projected to maintain their market position, the cobot market is more level. With China's market leadership in AI, Chinese companies are well-positioned to dominate the domestic smart cobot industry in the next few years. According to analysts, the cobot supply chain/ecosystem is evolving considerably faster than other locations.
Making their products adaptable for new application situations is a significant emphasis for Chinese cobot companies right now. They are now experiencing a significant increase in collaborative robot utilization in the medical, education, logistics, and catering industries.
| Attributes | Details |
|---|---|
| South Korea Market Size (2033) | US$ 1.2 billion |
| South Korea Market Absolute Dollar Growth (US$ million/billion) | US$ 964.2 million |
South Korea is a wildly profitable collaborative robots market, with a revenue growth rate of 19% and a projected value of US$ 1.2 billion throughout the forecast period. In December 2018, a market participant constructed production facilities with an annual capacity of 20,000 units in Suwon, South Korea. The corporation is also extending its operations in China. Moreover, businesses are currently working on AI-powered collaborative robots. These can recognize speech and do clever picture analysis.
The South Korean government has resolved to increase the size of manufacturing in the domestic robot sector. Additionally, they are working hard to expand the various small and mid-sized robot manufacturers with sales of more than 50 billion (US$ 45.93 million). To that goal, industry, academic, and research organizations are expected to work together to develop a plan to improve the robot industry. They have actively marketed the collaborative robot sector, which is commonly utilized in manufacturing. Moreover, they devised a medium and long-term development strategy to ensure competitiveness in essential robot components.
To establish the AI platform for robots, telecom firms, robot manufacturers, and research institutes are expected to form a committee for artificial intelligence (AI)-robot application and industrialization. According to several industry analysts, South Korea needs to enhance its robot industrial basis by revitalizing the market for collaborative robots and potential service robots. They can accomplish this by focusing on crucial part supply and proactively upgrading linked processes.
Start-up companies are participating in robotics technology alongside key industry players to contribute to the global collaborative robots market growth:
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Due to the engagement of multiple established competitors, the collaborative robots market share is very competitive. Firms in the collaborative modular robotics industry frequently employ organic development strategies such as product releases and approvals. Market companies are focusing on expanding their presence through acquisitions, expansions, product approvals, and launches in order to leverage market growth potential.
Through 2033, the market anticipates to continue to develop at a CAGR of 25.1%.
By 2033, the market is projected to flourish to a value of US$ 20.5 billion.
In 2023, the market is projected to be worth US$ 2.2 billion.
Between 2018 and 2022, sales significantly increased with an HCAGR of 50.4%.
Through 2033, the United States is projected to evolve at a CAGR of 18.5%.
1. Executive Summary | Collaborative Robots Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyers 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Analysis 2017 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) & Volume (Units) Analysis, 2017 to 2022 4.2. Current and Future Market Size Value (US$ Million) & Volume (Units) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Payload Capacity 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Payload Capacity, 2017 to 2022 5.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Payload Capacity, 2023 to 2033 5.3.1. Up to 5 Kg 5.3.2. 5 Kg to 10 Kg 5.3.3. Above 10 Kg 5.4. Y-o-Y Growth Trend Analysis By Payload Capacity, 2017 to 2022 5.5. Absolute $ Opportunity Analysis By Payload Capacity, 2023 to 2033 6. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Application 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Application, 2017 to 2022 6.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Application, 2023 to 2033 6.3.1. Welding 6.3.2. Material Handling 6.3.3. Quality Testing/Inspection 6.3.4. General Assembly 6.3.5. Painting/Spraying 6.3.6. Other Application 6.4. Y-o-Y Growth Trend Analysis By Application, 2017 to 2022 6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033 7. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By End Use 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By End Use, 2017 to 2022 7.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By End Use, 2023 to 2033 7.3.1. Automotive & Transportation 7.3.2. Electronics & Semiconductors 7.3.3. Food & Beverage 7.3.4. Chemical & Pharmaceutical 7.3.5. Logistics 7.3.6. Healthcare 7.3.7. Other End Use 7.4. Y-o-Y Growth Trend Analysis By End Use, 2017 to 2022 7.5. Absolute $ Opportunity Analysis By End Use, 2023 to 2033 8. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Region, 2017 to 2022 8.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033 8.3.1. Americas 8.3.2. EMEA 8.3.3. South Asia & Pacific 8.3.4. East Asia 8.4. Market Attractiveness Analysis By Region 9. Americas Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022 9.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. USA 9.2.1.2. Canada 9.2.1.3. Mexico 9.2.1.4. Rest of Americas 9.2.2. By Payload Capacity 9.2.3. By Application 9.2.4. By End Use 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Payload Capacity 9.3.3. By Application 9.3.4. By End Use 9.4. Key Takeaways 10. EMEA Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022 10.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Germany 10.2.1.2. Italy 10.2.1.3. France 10.2.1.4. Eastern Europe 10.2.1.5. Africa 10.2.1.6. Rest of EMEA 10.2.2. By Payload Capacity 10.2.3. By Application 10.2.4. By End Use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Payload Capacity 10.3.3. By Application 10.3.4. By End Use 10.4. Key Takeaways 11. South Asia & Pacific Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022 11.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. India 11.2.1.2. ASEAN 11.2.1.3. Oceania 11.2.1.4. Rest of South Asia & Pacific 11.2.2. By Payload Capacity 11.2.3. By Application 11.2.4. By End Use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Payload Capacity 11.3.3. By Application 11.3.4. By End Use 11.4. Key Takeaways 12. East Asia Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022 12.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. China 12.2.1.2. Japan 12.2.1.3. South Korea 12.2.2. By Payload Capacity 12.2.3. By Application 12.2.4. By End Use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Payload Capacity 12.3.3. By Application 12.3.4. By End Use 12.4. Key Takeaways 13. Key Countries Analysis 13.1. USA 13.1.1. Pricing Analysis 13.1.2. Market Share Analysis, 2022 13.1.2.1. By Payload Capacity 13.1.2.2. By Application 13.1.2.3. By End Use 13.2. Canada 13.2.1. Pricing Analysis 13.2.2. Market Share Analysis, 2022 13.2.2.1. By Payload Capacity 13.2.2.2. By Application 13.2.2.3. By End Use 13.3. Mexico 13.3.1. Pricing Analysis 13.3.2. Market Share Analysis, 2022 13.3.2.1. By Payload Capacity 13.3.2.2. By Application 13.3.2.3. By End Use 13.4. Germany 13.4.1. Pricing Analysis 13.4.2. Market Share Analysis, 2022 13.4.2.1. By Payload Capacity 13.4.2.2. By Application 13.4.2.3. By End Use 13.5. Italy 13.5.1. Pricing Analysis 13.5.2. Market Share Analysis, 2022 13.5.2.1. By Payload Capacity 13.5.2.2. By Application 13.5.2.3. By End Use 13.6. France 13.6.1. Pricing Analysis 13.6.2. Market Share Analysis, 2022 13.6.2.1. By Payload Capacity 13.6.2.2. By Application 13.6.2.3. By End Use 13.7. Eastern Europe 13.7.1. Pricing Analysis 13.7.2. Market Share Analysis, 2022 13.7.2.1. By Payload Capacity 13.7.2.2. By Application 13.7.2.3. By End Use 13.8. Africa 13.8.1. Pricing Analysis 13.8.2. Market Share Analysis, 2022 13.8.2.1. By Payload Capacity 13.8.2.2. By Application 13.8.2.3. By End Use 13.9. India 13.9.1. Pricing Analysis 13.9.2. Market Share Analysis, 2022 13.9.2.1. By Payload Capacity 13.9.2.2. By Application 13.9.2.3. By End Use 13.10. Association of Southeast Asian Nations 13.10.1. Pricing Analysis 13.10.2. Market Share Analysis, 2022 13.10.2.1. By Payload Capacity 13.10.2.2. By Application 13.10.2.3. By End Use 13.11. Oceania 13.11.1. Pricing Analysis 13.11.2. Market Share Analysis, 2022 13.11.2.1. By Payload Capacity 13.11.2.2. By Application 13.11.2.3. By End Use 13.12. China 13.12.1. Pricing Analysis 13.12.2. Market Share Analysis, 2022 13.12.2.1. By Payload Capacity 13.12.2.2. By Application 13.12.2.3. By End Use 13.13. Japan 13.13.1. Pricing Analysis 13.13.2. Market Share Analysis, 2022 13.13.2.1. By Payload Capacity 13.13.2.2. By Application 13.13.2.3. By End Use 13.14. South Korea 13.14.1. Pricing Analysis 13.14.2. Market Share Analysis, 2022 13.14.2.1. By Payload Capacity 13.14.2.2. By Application 13.14.2.3. By End Use 14. Market Structure Analysis 14.1. Competition Dashboard 14.2. Competition Benchmarking 14.3. Market Share Analysis of Top Players 14.3.1. By Regional 14.3.2. By Payload Capacity 14.3.3. By Application 14.3.4. By End Use 15. Competition Analysis 15.1. Competition Deep Dive 15.1.1. Universal Robots A/S 15.1.1.1. Overview 15.1.1.2. Product Portfolio 15.1.1.3. Profitability by Market Segments 15.1.1.4. Sales Footprint 15.1.1.5. Strategy Overview 15.1.1.5.1. Marketing Strategy 15.1.1.5.2. Product Strategy 15.1.1.5.3. Channel Strategy 15.1.2. AUBO Robotics 15.1.2.1. Overview 15.1.2.2. Product Portfolio 15.1.2.3. Profitability by Market Segments 15.1.2.4. Sales Footprint 15.1.2.5. Strategy Overview 15.1.2.5.1. Marketing Strategy 15.1.2.5.2. Product Strategy 15.1.2.5.3. Channel Strategy 15.1.3. Fanuc Corporation 15.1.3.1. Overview 15.1.3.2. Product Portfolio 15.1.3.3. Profitability by Market Segments 15.1.3.4. Sales Footprint 15.1.3.5. Strategy Overview 15.1.3.5.1. Marketing Strategy 15.1.3.5.2. Product Strategy 15.1.3.5.3. Channel Strategy 15.1.4. Stäubli International AG 15.1.4.1. Overview 15.1.4.2. Product Portfolio 15.1.4.3. Profitability by Market Segments 15.1.4.4. Sales Footprint 15.1.4.5. Strategy Overview 15.1.4.5.1. Marketing Strategy 15.1.4.5.2. Product Strategy 15.1.4.5.3. Channel Strategy 15.1.5. Robert Bosch GmbH 15.1.5.1. Overview 15.1.5.2. Product Portfolio 15.1.5.3. Profitability by Market Segments 15.1.5.4. Sales Footprint 15.1.5.5. Strategy Overview 15.1.5.5.1. Marketing Strategy 15.1.5.5.2. Product Strategy 15.1.5.5.3. Channel Strategy 15.1.6. KUKA AG 15.1.6.1. Overview 15.1.6.2. Product Portfolio 15.1.6.3. Profitability by Market Segments 15.1.6.4. Sales Footprint 15.1.6.5. Strategy Overview 15.1.6.5.1. Marketing Strategy 15.1.6.5.2. Product Strategy 15.1.6.5.3. Channel Strategy 15.1.7. Precise Automation, Inc. 15.1.7.1. Overview 15.1.7.2. Product Portfolio 15.1.7.3. Profitability by Market Segments 15.1.7.4. Sales Footprint 15.1.7.5. Strategy Overview 15.1.7.5.1. Marketing Strategy 15.1.7.5.2. Product Strategy 15.1.7.5.3. Channel Strategy 15.1.8. Denso Wave Incorporated 15.1.8.1. Overview 15.1.8.2. Product Portfolio 15.1.8.3. Profitability by Market Segments 15.1.8.4. Sales Footprint 15.1.8.5. Strategy Overview 15.1.8.5.1. Marketing Strategy 15.1.8.5.2. Product Strategy 15.1.8.5.3. Channel Strategy 15.1.9. ABB Group 15.1.9.1. Overview 15.1.9.2. Product Portfolio 15.1.9.3. Profitability by Market Segments 15.1.9.4. Sales Footprint 15.1.9.5. Strategy Overview 15.1.9.5.1. Marketing Strategy 15.1.9.5.2. Product Strategy 15.1.9.5.3. Channel Strategy 15.1.10. Yaskawa Electric Corporation 15.1.10.1. Overview 15.1.10.2. Product Portfolio 15.1.10.3. Profitability by Market Segments 15.1.10.4. Sales Footprint 15.1.10.5. Strategy Overview 15.1.10.5.1. Marketing Strategy 15.1.10.5.2. Product Strategy 15.1.10.5.3. Channel Strategy 15.1.11. K2 Kinetics 15.1.11.1. Overview 15.1.11.2. Product Portfolio 15.1.11.3. Profitability by Market Segments 15.1.11.4. Sales Footprint 15.1.11.5. Strategy Overview 15.1.11.5.1. Marketing Strategy 15.1.11.5.2. Product Strategy 15.1.11.5.3. Channel Strategy 16. Assumptions & Acronyms Used 17. Research Methodology
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Collaborative Robots Market
