Il mercato dei robot collaborativi (cobot) supererà i 100 miliardi di dollari entro il 2043

Robot collaborativi (cobot) 2023-2043: tecnologie, giocatori e mercati

Robot collaborativi (cobot), manipolatori mobili, dispositivi di estremità, sensori, pinze, produzione automobilistica, prelievo e posizionamento, pallettizzazione, imballaggio, alimenti e bevande, elettronica

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Collaborative robots (cobots), an emerging category of robots, have gained significant momentum over the past decade. Unlike traditional industrial robots that need physical fences, collaborative robots can work side by side with human operators without physical separation, thereby taking less space. As a result, collaborative robots, also known as cobots, are ideal options for small and medium enterprises (SMEs) thanks to their low costs, small footprint, ease of use, flexibility, and low power consumption. As large companies aim to bring human workers back to manufacturing, cobots are expected to be increasingly adopted over the next two decades. Cobots can be used for various tasks, including packaging, palletizing, machine tending, and quality inspection across multiple industries such as automotive manufacturing, food and beverage, electronics, hospitality and healthcare. IDTechEx's latest report 'Collaborative Robots (Cobots) 2023-2043: Technologies, Players and Markets' takes a deep dive into the applications and tasks mentioned above with an in-depth analysis of the key enabling technologies, players and markets with granular forecasts for the next 20 years.
A granular analysis of the commercially available cobots with six degrees of freedom based on their payloads, reach, and repeatability. Source: IDTechEx
Collaborative robots in automotive manufacturing
As the most prominent application, cobots are used for a few tasks, including car assembly, and surface polishing. With the increasing popularity of electric vehicles, many existing car production lines need retrofitting or reconstruction. One of the pain points of large automakers is that if one industrial robot malfunctions, the entire production line must be closed to ensure the safety of human operators during the inspection. This process could lead to a significant downtime cost. However, cobots can be an ideal solution as human operators can work closely with them without affecting other robots. Meanwhile, large automotive manufacturers (e.g. Audi, Volkswagen, etc.) have proposed 'intelligent factories' where they aim to enhance the flexibility of their production by improving human-robot interaction. Thanks to their flexibility, IDTechEx predicts that cobots in the car manufacturing industry will have an average CAGR of 27.2% for the upcoming two decades.
IDTechEx report addresses the applications above with analysis including challenges, impacts of regional policies (Europe, Asia, USA), proposals from large automobile makers, market sizes, and volume sales of cobots in the automotive manufacturing industry. Source IDTechEx
Collaborative robots in the food and beverage industry
The modern food industry is transitioning to high mix low volume (HMLV) production that requires increasing production flexibility. HMLV manufacturing, also known as make-to-order manufacturing, is the process of producing a high variety of products in small quantities. The rising mix of food products also leads to a soaring demand for packaging. At this stage in 2022, most packaging is still done manually. However, due to COVID, border closures, and labor shortages, many food product suppliers have started to consider automating their food packaging process by adopting collaborative robots. As packaging requires robots with a low payload and high flexibility, it can be an ideal use case for cobots. Although the food and beverage industry has historically not been the primary target industry for cobots, IDTechEx has observed that more cobot makers are starting to use a long-tail strategy and make increasing efforts in the food and beverage industry for the next 20 years.
The IDTechEx report addresses the applications above with analysis including several case studies, along with concerns from SMEs owners and solutions to these concerns.
Collaborative robots in the electronics industry
The electronics industry is an emerging application for collaborative robots. The main task of cobots is electronics quality inspection, including phone chip inspection, PCB inspection, and PC processor inspection. Although it is believed that the annual shipment of smartphones and PCs will remain stable or decrease slightly in the next two decades, IDTechEx believes that the global demand for PCBs will continue to rise because of the increasing demand for other electronics. Furthermore, compared with manual inspection, using cobots for electronics inspection could significantly increase efficiency and accuracy and minimize potential human errors. Nevertheless, despite the growth, IDTechEx believes that the increase of cobot adoption in this industry will not be as fast as in the application areas mentioned above.
The IDTechEx report addresses the applications above with analysis including use cases, investments from large electronics companies, and how it will impact the adoption of cobots in the electronics industry.
Collaborative robots in the healthcare and hospitality industry
The healthcare and hospitality industry is an emerging area for collaborative robots. A subsector within this area is cobots in surgical applications, where surgeons remotely control cobots to perform surgery. In addition, mobile cobots can also be widely used in care homes to support health workers.
As an emerging application, IDTechEx has noticed an increasing investment in this area, and IDTechEx's report includes use cases, along with challenges and solutions.
Emerging technologies - sensors
Sensors are one of the most important enabling technologies for collaborative robots. The most typical sensors used in cobots for safety are torque sensors, where a range of sensor values are pre-set, and if a collision occurs, the values will exceed the range, which triggers the robot's emergency stop. However, IDTechEx has noticed a number of emerging sensors (e.g. tactile, proximity, etc.) to provide safety, but they have not been widely adopted in the market so far.
The IDTechEx report addresses these sensory technologies with a detailed analysis of torque sensors, capacitive sensors, and proximity detection sensors.
Emerging technologies - end-effectors
End-effectors, also known as end-of-the-arm-tooling, are designed to enable robots to interact with their tasks. End-effectors can be classified as mechanical or electromechanical components depending on actuation principles. Typical end-effectors include grippers, process tools, and sensors. IDTechEx believes that the end-effector market will increase with the increasing adoption of cobots. However, since different cobots can share end-effectors, the end-effector market is predicted to saturate earlier than the cobot market.
The IDTechEx report addresses these end-effectors including vacuum grippers, mechanical grippers, pneumatic grippers, and magnetic grippers, and the benefits and drawbacks of these technologies.
The collaborative robots market is expected to grow quickly and nearly triple from 2021 to 2025. Source: IDTechEx
Key aspects
This report provides the following information
Technology trends & cobot players analysis
  • Market leaders and a number of small emerging start-ups
  • Detailed price, payload, and reach comparisons of commercially available cobots (benchmarking studies) between different commercially available cobots.
  • Analysis of key company revenues.
  • Overview of the use of cobots by end industries and tasks.
  • Detailed regional SWOT analysis of the automotive manufacturing industry, along with how cobots are expected to help them overcome key challenges.
  • Analysis of regulations (e.g. Industry 5.0, Made in China 2025, Smart Factory 2025, etc.) and leading car-making companies' proposals and how these will accelerate the adoption of cobots.
  • Detailed analysis of cobots in the food and beverage industry. Analysis of high mix low volume model and how cobots are used for packaging, palletizing, etc.
  • Outlook of cobots in the electronics industry covering several case studies and investment analysis of large electronics suppliers.
  • Analysis of cobots in the hospitality and healthcare industry.
  • Analysis of cobots for picking and placing, material handling, quality inspection, and the benchmark for payback time and ROI.
  • Analysis of cobot adoption barriers and potential solutions to these barriers.
  • Progression toward mobile cobots, current technological hurdles, and the trend of partnerships between cobot makers and mobile robot makers.
  • Analysis of end-effectors (e.g. grippers, sensors, sanding tools, etc.), along with several profiles of leading end-effector suppliers.
  • Analysis of sensory systems in cobots and the emerging sensors that can enhance safety levels.
  • Overview of cobot components suppliers and analysis of two leading cobot controller suppliers - NVIDIA and AMD.
  • Primary information from key profiled companies.
Market Forecasts & Analysis:
  • 20-year market forecasts for collaborative robots in volume sales and revenue.
  • 20-year market forecasts for collaborative robots in different regional markets (APAC, North America, Europe, and the Rest of the World).
  • 20-year forecast for cobot end-effectors.
  • 20-year forecast of cobot sale volume in the automotive manufacturing industry.
  • 20-year granular analysis of volume sales and revenue of collaborative robots by 12 different end industries.
  • 20-year granular analysis for the market share of cobots in volume and revenue in different end industries.
  • 20-year granular analysis of cobot sales by nine different tasks (e.g. car assembly, palletizing, packaging, machine tending, etc.)
  • 20-year market forecast for cobot sales volume for chip quality inspection
  • 20-year market forecast for cobot sales volume for the automotive assembly and automotive surface finishing.
Analyst access from IDTechEx
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Table of Contents
1.1.Collaborative robots (Cobots)
1.2.Three phases of cobot adoption
1.3.Six stages of human-robot interaction (HRI)
1.4.Traditional industrial robots vs. collaborative robots
1.5.Benefits of industrial robots vs. collaborative robots
1.6.Benefits of cobots - key takeaways
1.7.Drawbacks of cobots - key takeaways
1.8.Safety requirement for cobots - five main types
1.9.Total market size of cobots by 12 applications: 2022-2043
1.10.Cobot market forecast tables by end-user industry - Revenue
1.11.Overview of commercialized cobots
1.12.Overview of cobots by weight and payload
1.13.Key players analysis and insights
1.14.Industry 5.0 - transformative vision for EU
1.15.Robotics evolution
1.16.Collaborative robots drive industry 5.0 - future factory
1.17.Low-carbon society commitment from big robot manufacturers
1.18.The total market size of cobots: 2019-2025 (what are the COVID impacts)?
1.19.Mobile collaborative robots - emerging products
1.20.Cobot sales volume by region: 2019-2043
1.21.Cobot sales volume forecast tables by region: 2019-2043
1.22.How to categorize end-effectors
1.23.Overview of end-effectors
1.24.Cobot end-effectors - market size and limitations
1.25.Overview of the market - lack of differentiation and market opportunities
1.26.Overview of market drivers
1.27.Overview of the OEMs and suppliers
1.28.Global competitive landscape
1.29.Access to IDTechEx Portal Company Profiles
2.1.Definitions of the key terms
2.2.Leading cobot manufacturers
2.3.Typical performance and cost characteristics of collaborative robotic arms
2.4.The rise of 'collaborative' robotic arms: filling a market gap
2.5.Spacing sharing & safeguarding: traditional vs collaborative
2.6.Type of assembly operation
2.7.Six stages of human-robot collaboration
2.8.Stage One - what is not a collaborative robot?
2.9.Stage Two - what is not a collaborative robot?
2.10.Stage Three - laser scanner separation
2.11.Stage Four - shared workspace no virtual guarding
2.12.Stage Five - operators and robots working together
2.13.Stage Six - Autonomous mobile collaborative robots
2.14.Degrees of collaboration: spatial and/or temporal separation
2.15.Single or dual arms?
2.16.Safety requirement for cobots - five main types
2.17.Safety requirement - understanding biomechanical limit criteria
2.18.Safety requirement for cobots - Power and force limiting
2.19.Safety requirement for cobots - Speed and separation monitoring and safety monitored stop
2.20.Safety requirement for cobots - hand guiding
2.21.Safety requirement for cobots - soft impact design
2.22.Robot safety standards of different regions
3.1.1.Key terms and performances expected from cobots
3.1.2.Benchmarking of robots based on DoF, payload, weight, repeatability, reach, price, payload to weight ratio and ease of programming
3.1.3.Benchmarking of cobots - Degree of Freedom (DoF) = 6
3.1.4.Benchmarking of cobots - Degree of Freedom (DoF) = 7
3.1.5.Comparison of cobots - DoF = 6
3.1.6.Average price per cobot by company - low-cost cobots
3.1.7.Average price per cobot by company - medium-cost cobots
3.1.8.Average price per cobot by company - high-cost cobots
3.1.9.Porters' five forces analysis of cobots
3.2.Profiles of cobot players
3.2.1.An overview of the value chain
3.2.2.Access to IDTechEx Portal Company Profiles
3.2.3.Major players - Switzerland
3.2.4.Major players - Germany
3.2.5.Major players - Japan
3.2.6.Major players - USA
3.2.7.Major players - Canada
3.2.8.Major players - China
3.2.9.Major players - Others
3.2.10.ABB - YuMi
3.2.11.ABB - GoFa
3.2.12.ABB - SWIFTI CRB 1100-4/0.475 and CRB 1100-4/0.58
3.2.13.KUKA - LBR iiwa series
3.2.14.KUKA - LBR iisy and iiQKA Ecosystem
3.2.16.Fanuc - CR (collaborative robots) series - CR-4iA, CR-7iA, and CR-7iA/L
3.2.17.Fanuc - CR (collaborative robots) series - CR-14iA/L, CR-15iA, CR-35iA, CRX-10iA and CRX-10iA/L
3.2.18.Aubo Robotics - i series
3.2.19.i-series - i16 and i20
3.2.20.i-series - i3, i5, and i10
3.2.21.DOBOT - CR series
3.2.22.CR3, CR5, and CR10
3.2.23.CR16 and M1 Pro
3.2.24.End-effectors and other accessories - DOBOT
3.2.25.Stäubli - TX2touch series
3.2.26.TX2touch-60 series
3.2.27.TX2touch-90 series
3.2.28.Yuanda Robotics - Yuanda robot
3.2.29.Yuanda robot - Yu
3.2.30.Universal Robots
3.2.31.Universal Robots - UR(x)e series
3.2.32.Universal Robots - UR3e
3.2.33.Universal Robots - UR5e
3.2.34.Universal Robots - UR10e
3.2.35.Universal Robots - UR16e
3.2.36.Universal Robots - system specifications
3.2.37.Techman Robot
3.2.38.SWOT - Techman Robot
3.2.40.Omron - TM5-700 and TM5X-700
3.2.41.Omron - TM5-900 and TM5X-900
3.2.42.Omron - TM12 and TM12X
3.2.43.Omron - TM14 and TM14X
3.2.44.F&P Personal Robotics
3.2.45.SWOT - F&P Personal Robotics
3.2.46.F&P Personal Robotics - P-Rob
3.2.47.F&P Personal Robotics - Lio
3.2.48.Kawasaki Heavy Industries
3.2.49.duAro series
3.2.50.Neura Robotics
4.1.Automotive manufacturing
4.1.1.Opportunities for collaborative robots in the automotive manufacturing industry
4.1.2.Five challenges for SMEs
4.1.3.Challenges of automotive manufacturing
4.1.4.The trend for Audi and Volkswagen digitization
4.1.5.Fast increase of cobots usage in the upcoming decade because of policy and company strategy
4.1.6.Fast increase of cobots usage - China
4.1.7.Electric vehicles drive the adoption of cobots in the automotive industry - opportunities
4.1.8.COVID highlights the supply chain fragility and accelerate the cobot usage
4.1.9.SWOT analysis of cobots in the European automotive industry
4.1.10.SWOT analysis of cobots in the APAC automotive industry
4.1.11.SWOT analysis of cobots in the North American automotive industry
4.1.12.More details of applications scenarios in the automotive manufacturing industry
4.1.13.Case study: OPEL's engine assembly line with the aid of UR-cobots
4.1.14.Case study: PSA's smart factory
4.1.15.Case study: Ford - seam sealant injection
4.1.16.Case study: Zippertubing
4.1.17.Summary for automotive manufacturing
4.1.18.Cobot sales volume forecast in automotive industry
4.1.19.Unit sales forecast of cobots for the automotive industry
4.2.Food and beverage industry
4.2.1.Challenges and requirements of 21st food and Fast-Moving Consumer Goods (FMCG) industry
4.2.2.Challenges and requirements of 21st food and (FMCG) industry - key takeaways
4.2.3.SWOT analysis of cobots in the food and beverage industry - Europe
4.2.4.SWOT analysis of cobots in the food and beverage industry - Asia
4.2.5.SWOT analysis of cobots in the food and beverage industry - North America
4.2.6.Cobots for food and beverage industry are used for different purposes and tasks
4.2.7.Case study: Nortura - palletizing
4.2.8.Case study: Atria Scandinavia - packaging
4.2.9.Forecast of cobots in the food and beverage industry
4.2.10.Conclusion and outlook for cobots in the food and beverage industry
4.2.11.Conclusion and outlook for cobots in the food and beverage industry
4.3.1.Challenges of 3C manufacturing in electronics
4.3.2.Case study - Melecs EWS
4.3.3.Main market is in China, and main tasks include picking and placing, palletizing, and quality inspection
4.3.4.Investments from global companies accelerate the adoption of cobots in 3C manufacturing
4.3.5.Forecast - cobots in the electronics industry
4.3.6.Summary for 3C manufacturing
4.4.Hospitality and healthcare
4.4.1.Challenges on the hospitality and healthcare industry
4.4.2.Cobots in the medical field
4.4.3.Cobots in the healthcare industry - key takeaways
4.5.Picking and placing
4.5.1.Machine tending
4.5.2.Benefits and ROI for machine tending
4.5.3.Packaging and palletizing
4.5.4.Volume forecast cobots in packaging and palletizing
4.5.5.Market size forecast for cobots in packaging and palletizing
4.6.Material handling
4.6.1.Processing tasks
4.6.2.Finishing tasks
4.6.3.Forecast of cobots market size for surface processing
4.7.Quality inspection
4.7.1.Quality inspection
4.7.2.Cobots in chip quality inspection
4.8.Summary of different applications
4.8.1.Applications and end-user industries
4.8.2.Payback time/ROI by application
4.8.3.Pain points and solutions for cobot adoption
4.8.4.Barriers for cobot adoption
5.1.1.Sensor-based control
5.1.2.Typical sensors used for collaborative robots
5.1.3.Flexible force/pressure sensors used for robotic soft grippers
5.1.4.Brief introduction of technologies for tactile sensors in soft grippers
5.1.5.Piezoresistive vs. Piezoelectric vs. Capacitive technologies
5.1.6.What are printed piezoresistive sensors?
5.1.7.What is piezoresistance?
5.1.8.SWOT: Piezoresistive sensors
5.1.9.Capacitive sensors
5.1.10.Tactile sensors
5.1.11.Capacitive proximity and tactile sensors - AIDIN Robotics
5.1.12.Time-of-flight (ToF) sensors
5.1.13.Challenges with traditional force sensors
5.1.14.Force sensing - FRANKA EMIKA
5.1.15.Robotic visual and force sensing
5.1.16.Torque sensors
5.1.17.Vision systems for cobots
5.1.18.Vision systems in robots
5.1.20.AIRSKIN - further details
5.1.22.AIDIN Robotics
5.1.23.SWOT - AIDIN Robotics
5.1.25.SWOT - Tacterion
5.1.26.Bruker Alicona
5.1.27.SWOT - Bruker Alicona
5.2.1.What are end-effectors and how are they used in different applications?
5.2.2.Examples of the applications of end-effectors
5.2.3.How to categorize end-effectors?
5.2.4.How do end-effectors change the robot and cobot industry?
5.2.5.How do end-effectors change the robot and cobot industry?
5.2.8.SWOT - OnRobot
5.3.1.Grippers - categorization based on actuation types
5.3.2.Grippers with rigid fingers
5.3.3.Soft grippers
5.3.4.Actuation technologies for soft grippers
5.3.5.Comparison of rigid and soft grippers
5.3.6.Vacuum grippers
5.3.7.Vacuum grippers - suction cup selection
5.3.8.Magnetic grippers
5.3.9.Emerging technologies: tactile sensors
5.4.Surface Processing Tools
5.4.1.Surface finishing
5.4.2.Surface finishing with cobots could be ideal for SMEs
5.4.3.Case study - ROBOTIQ surface finishing kit
5.5.1.NVIDIA Isaac
5.5.2.AMD - SOM
5.5.3.SWOT - AMD - SOM
5.6.OEMs and Component Suppliers
5.6.1.Key components and accessories
5.6.2.Overview of the OEMs and suppliers
5.6.3.List of OEMs and suppliers
5.6.4.End-effectors by OEM
5.6.5.Price of end-effectors by type
5.7.Emergence of mobile cobots
5.7.1.What are mobile cobots?
5.7.2.Mobile collaborative robots - benefits
5.7.3.Mobile collaborative robots - overview of limitations
5.7.4.Applications of mobile cobots
5.7.5.Mobile cobots - gaps and mismatches in accuracy
5.7.7.SWOT - Robotnik
5.7.8.Other challenges of mobile cobots
5.7.9.Collaboration of mobile robot suppliers and cobot suppliers
5.7.10.Mobile collaborative robots: 2019-2043
6.1.Methodology and assumptions for forecasts
6.2.Illustration of S-curve
6.3.The total market size of cobots: 2019-2025 (what are the COVID impacts)?
6.4.The total market size of cobots: 2025-2043
6.5.Unit sales of cobots: 2019-2043
6.6.Market share of cobots (volume) by regions: 2019-2043
6.7.Market share of cobots (revenue) by regions
6.8.Unit sales of cobots by region: 2019-2043
6.9.Revenue of cobots by regions: 2019-2043
6.10.Mobile collaborative robots: 2019-2043
6.11.Total market size of cobot end-effectors: 2019-2043
6.12.Global automotive sales and cobot in car assembly: 2022-2043
6.13.Sales volume of cobot in automotive manufacturing industry: 2023-2043
6.14.Cobots in chip quality inspection
6.15.Volume of cobot sales by end-user industry : 2019-2043
6.16.Cobot market forecast tables by end-user industry - Volume
6.17.Revenue of cobot by applications: 2019-2043
6.18.Cobot market forecast tables by end-user industry - Revenue
6.19.Market share for collaborative robots by end-user industry: 2022-2043
6.20.Sales volume of cobots by tasks: 2022-2043
6.21.Volume percentage by different tasks: 2022-2043
6.22.Cobot market share forecast tables by tasks - volume

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Forecasts to 2043
ISBN 9781915514172

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