Collaborative Robot Market with COVID-19 Impact Analysis, Component, Payload (Up to 5 Kg, 5-10 Kg, and Above 10 Kg), Application (Handling, Processing), Industry (Automotive, Furniture & Equipment), and Region - Global Forecast to 2027
[328 Pages Report] According to MarketsandMarkets, the collaborative robot is projected to grow from USD 1.2 billion in 2021 to reach USD 10.5 billion by 2027; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 43.4% from 2021 to 2027.
The collaborative robot market is driven by the high Return on Investment (ROI) derived from the deployment of collaborative robots and its benefits for businesses of all sizes in terms of general competitiveness, increased production, and enhanced product quality. In addition, the cobots are easier to program. These factors are paving way for their rapid adoption in SMEs and large-scale businesses alike.
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Impact of COVID-19 on collaborative robot market size and forecast
The emergence of the COVID-19 pandemic, a deadly respiratory disease that originated in China, is now become a worldwide issue. As China has been a significant market for collaborative robot market with regards to APAC region, the COVID-19 pandemic impacted market negatively in 2020. Few of the top players in market that such as Universal Robots (Denmark), ABB (Switzerland), FANUC (Japan), KUKA (Germany) and DENSO (Japan) are headquartered in APAC and Europe region, witnessed a major decline in their 2020 revenue. The COVID-19 pandemic led to global supply chain disruption and sluggish installation of collaborative robots in various key industries, such as automotive; electrical and electronics; and metals & machining. However, the situation of collaborative robot market for Q1 of 2021, would witness growth in over 2020 and is expected to reach normalcy in 2021.
Collaborative Robot Market Dynamics
Driver : High Return on Investment as compared to Traditional Industrial Robotic system
The traditional industrial robots require a cumbersome set-up for their deployment in the manufacturing plants. These robots are larger and require a significant amount of fixed and interlocked engineering controls. These robots require robotic arms, various types of robot accessories such as controller, end-effectors, grippers, vision systems. It also requires additional hardware such as fixtures, conveyors, and safety fencing as these robots, unlike collaborative robots that operate from within the fencing. As a result, the physical footprint of the entire traditional industrial robotic system is much higher thereby occupying a significant amount of shop space. The average selling price of traditional industrial robot is within a range of USD 50,000–80,000. Wherein, the cost of a robot ranges from USD 25,000 to USD 50,000. Robotic systems price is determined by the application for which it is adopted. The application determines the end of arm tool (EOAT) or end-effector, peripherals, safety components, etc. Hence, when application-specific peripherals are added, the robotic system costs anywhere from USD 100 thousand -150 thousand, which proves to be very costly for small-scale industries with low volume production. On the other hand, a standalone collaborative robot may cost anywhere between USD 30,000 to USD 35,000, further with the addition of end effectors it may cost anywhere between USD 40,000 to USD 45,000. Thus, upon comparing the pricing of the traditional and collaborative robotic system, it can be deduced that the pricing for traditional industrial system exceeds that for collaborative robotic system by a margin of USD 60 thousand to 105 thousand. In case of collaborative robot, the price to deploy the additional hardware is only USD 10,000-15,000 more than the price of collaborative robot whereas for traditional industrial robot the price of installing the additional hardware is USD 50,000 to 70,000 more than the price of the robot. Therefore, the overall pricing of traditional industrial robots inclusive of the additional hardware and components is higher compared to the collaborative robots. Collaborative robots have a high Return on Investment compared to the traditional industrial robots as they only require a vision system, controller, and an indicator unlike traditional industrial robots which is a major driving factor in leading to an increased level of adoption of collaborative robots.
Restraint : Higher preference to low payload capacity traditional industrial robots over cobots in heavy-duty industries
Traditional industrial robots are better equipped to handle heavier and larger materials and objects like those used in heavy-duty industries such as automotive, metals and machinery manufacturing, owing to their greater payload capacities compared to cobots. The heavy-duty industries prefer to employ the traditional industrial robots for automating their manufacturing operations. In order to operate safely in the work environment, cobots are designed to be less powerful compared to traditional industrial robots, making them less appropriate for heavy-duty applications. On the other hand, the traditional industrial robots are heavy-duty robots with high payloads that can tackle dangerous, repetitive, and heavy applications. These robots are commonly used for parts assembly, pick-and-place, and palletizing in many different industries conventionally. The lower power limits the applications of the collaborative robots in heavy-duty manufacturing industries. The average speed of collaborative robots is around 1m/s whereas for similar payload capacities, the speed offered by traditional industrial robots is higher compared to their collaborative counterparts. As a result, the low payload capacity traditional industrial robots are preferred over cobots in case of heavy-duty industries.
Opportunity : Growing demand for automation in healthcare industry post COVID-19
The outbreak of the COVID-19 pandemic worldwide has fueled the growth for adoption of robots for automation in the medical sector. The industry that has witnessed significantly high focus on robotics is the healthcare industry. Throughout the pandemic, automated robotic units have been used to disinfect patient rooms and surgery suites. For example, at Shenzhen Third People’s Hospital, in China, a robot called Aimbot drives down the hallways, enforcing face-mask and social-distancing rules and spraying disinfectant. At Fortis Hospital in Bangalore, India, a robot called Mitra uses a thermal camera to perform a preliminary screening of patients in order to contain the spread of COVID-19. Several hospitals have introduced safety measures to help promote social distancing as people enter the hospital for non-COVID-19 related visits. Today, due to the pandemic, the use of robots for disinfection application has risen dramatically. Because the COVID-19is highly infectious, patient rooms must be sanitized to prevent infection from spreading to other patients and hospital staff. Medical personnel take patients’ temperature and screen them for COVID-19 symptoms, to ensure a safe environment. To help limit human interaction, robots have been developed to help automate the process. From disinfecting rooms, delivering medication to measuring vital signs, these robots are proving to be highly efficient. Equipped with a sophisticated vision system, these robots are able to measure skin temperature, breathing rate, pulse rate, and blood oxygen to help detect the infection in time. Future medical interactions may become more automated to protect not just the patient but also the medical staff. COVID-19 has also resulted in an unprecedented demand for medical testing. In response to this extraordinary demand, Universal Robots has developed a solution in collaboration with Lifeline Robotics. The solution encompasses an autonomous throat swabbing robot. The robot uses UR3 cobot arms fitted with a custom 3D-printed end-effector. This system was officially launched in Denmark at the end of May 2020.
Challenge : Payload and speed limitations of collaborative robots owing to their inherent design
Most collaborative robots are generally limited to a maximum payload of 15 kg or less. An increase in payload often results in a decrease in repeatability of the robot and increase in weight due to the added sensors; hence, most collaborative robots are used for low payload applications. Collaborative robots are also designed to move at the speed of a human arm, which enables them to be deployed safely alongside a human. Designers of cobots have had to factor in performance restrictions in the robot’s mechanical design, particularly in the motorized robot joints. Although an inherent quality, such speed restrictions not only decrease robot throughput but also increase cycle time. For instance, the low speed of collaborative robots limits some applications in food and beverage applications, where the robot may not be able to keep up with the speed of the process line. Hence, collaborative robots will not be able to replace traditional industrial robots, and as such, many industrial applications requiring high speed and payload will remain out of their reach. For example, the total speed of Sawyer Black Edition collaborative robot from Rethink Robotics is 1.5 m/s. The speed of COBOTTA collaborative robot from DENSO is 500 mm/s. The speed of AURA-170-2.8 from COMAU is 2 m/thus, the average speed of collaborative robots is around 1m/s. Cobots have to meet certain standards set forth by ANSI, RIA, and ISO (ANSI/RIA R15.06-2012 and ISO 10218-1,2:2011), which limit the speed and payload combination to mitigate risk to surrounding workers. Further, these standards ensure that the robot is collaborative, not the application.
Collaborative Robot Ecosystem
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“ Collaborative robot market for Furniture & Equipment industry to grow at a significant CAGR during the forecast period”
The furniture & equipment industry is increasingly adopting cobots at a larger scale for making furniture from wood and automated sculpting of stones. With the increasing cost of labor, in countries such as US and China, there is a growing demand for automation of operations in the woodworking and furniture industry. Much of the panel processing in the furniture industry is still very labour intensive. The use of automated robotics in the furniture industry is relatively small when compared to other industries, but the opportunities are compelling. Collaborative robots can be used in many aspects of building material production, including bonding, placing, mixing, packaging, all types of welding, palletizing, packaging, and much more. A cobot will use exact measurements at the time of mixing ingredients and is extremely precise with cutting and joining of materials. Cobots can be employed in this industry for application such as sanding, polishing, and finishing, as well as machine loading and part transfer to ensure a higher degree of efficiency and productivity.
“ Robotic arm is expected to hold the largest share of the market for hardware component during the forecast period”
The component-wise growth rate, for the collaborative robot market is estimated to be specifically highest for the robot arm. The robot arm is one of the most expensive hardware components in a collaborative robot, designing of which can often be time-consuming and complex. The robotic arm consists of different joints, which enables linear and circular motion in collaborative robots. The arm has to be built as per the ISO/TS 15066 standard and certified for the same. When compared to traditional industrial robots, collaborative robots often have a curved arm to make it safe for human contact. This feature is crucial as collaborative robots work in close proximity with the human workers. Inside its complex design, the arm also has to house the drives, motors, and sensors, while providing a maximum level of dust and water resistance, which can often be challenging. Thus, due to its higher overall cost, compared to other hardware components, the robotic arm is expected to dominate the collaborative robot market in terms of value, during the forecast period.
“Collaborative robots with payload range of 5-10 KG to witness highest growth rate during the forecast period”
The payload category exhibiting the highest growth during the forecast period is the 5-10 kg category. Cobots in the 5–10 kg payload capacity category can handle heavier parts and have a longer reach for tasks such as machine tending and palletizing. According to the ISO 10218 safety standard, grippers that are rated for handling payloads up to 10 kg or lower are collaborative, which also means that robots with a payload capacity of 5–10 kg do not require specialized grippers for collaborative operations. Collaborative robots that operate on payload capacity of 5–10 kg are used in the majority of factory automation tasks for applications such as material handling, palletizing, and machine tending. Automotive industry particularly engages cobots belonging to 5-10 kg payload category for pick and place of small engine and transmission components during assembly alongside a human worker. These robots can perform all the collaborative operations that the low payload cobots are capable of, but with support for a higher payload. These robots differ from low payload cobots in terms of payload capacity, reach, and other operational parameters. Cobots belonging to this category are also equipped with position and torque sensors that can cease robot operation if an obstacle or collision is detected. Many of these robots also support peripherals such as vision systems and end effectors from third-party manufacturers. The collaborative robots belonging to this payload category typically have an operating speed of 1.2 m/s and a reach of 1,000mm. Thus, due to their wide adaptability, versatility in terms of applications, intrinsic safety, and their repeatability and reach being almost at par with traditional industrial robotic systems, the cobots with 5-10 kg payload capacity are anticipated to have the fastest growth.
“APAC to hold the largest share of collaborative robot market for in 2021”
APAC to hold the largest share of collaborative robot in 2021 both in terms of value and the volume. This can be attributed to the increasing labour costs in APAC that are forcing manufacturers to automate the manufacturing processes to maintain their cost advantage. Automotive and electronic industries are a major demand-generator for the collaborative robots, both of which have a strong presence in the APAC region especially in countries such as China, South Korea, Taiwan. Due to factors such as rising wages, increasing average age of the workforce and the emphasis on the miniaturization trend in the electronics industry, and light-weighting trend in the automotive industry, there is an increased demand in the adoption level of collaborative robots. Automation in the APAC countries is poised to grow as it would enable industries in this region to seek a competitive advantage due to low production costs, easy availability of economical labor, lenient emission and safety norms, and government initiatives for foreign direct investments (FDIs) leading APAC to maintain a dominant market position in the collaborative robot market.
Human–Robot Collaborative Operational Environment (Qualitative Chapter)
Integration of Cobots and IoT (Qualitative Chapter)
Key Market Players
Major vendors in the collaborative robot market include Universal Robots (Denmark), ABB (Switzerland), FANUC (Japan), YASKAWA (Japan), Techman Robot (Taiwan), KUKA (Germany), Doosan Robotics (South Korea), Rethink Robotics (US), Precise Automation (US), Denso Corporation (Japan).
Apart from these, F&P Robotics (Switzerland), Wyzo (Switzerland), MIP Robotics (France), Neura Robotics (Germany), Elite Robot (China), Kassow Robot (Denmark) are among a few emerging companies in the collaborative robot market.
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Get online access to the report on the World's First Market Intelligence Cloud
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- Competitor Analysis with Interactive dashboard
- Latest News, Updates & Trend analysis
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Report Metric |
Detail |
|
Market size available for years |
2017—2027 |
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Base year |
2020 |
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Forecast period |
2021—2027 |
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Units |
Value (USD Million/USD Thousand) |
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Segments covered |
Component, Payload, Application, Industry, and Geography |
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Geographic regions covered |
North America, Europe, APAC, and RoW |
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Companies covered |
Universal Robots (Denmark), FANUC (Japan), ABB (Switzerland), Techman Robot (Taiwan), KUKA (Germany), Doosan Robotics (South Korea), Denso (Japan), YASKAWA (Japan), Precise Automation (US), Rethink Robotics (US), MABI Robotic (Switzerland), FrankaEmika (Germany), Comau (Italy), F&P Robotics (Switzerland), Stäubli (Switzerland), Bosch Rexroth (Germany), Productive Robotics (US), Wyzo (Switzerland), Neura Robotics (Germany), Elephant Robotics (China), ELITE ROBOT (China), Kassow Robots (Denmark), SIASUN (China), MIP Robotics (France) and Hanwha Corporation (South Korea). |
This report categorizes the collaborative robot market based on component, payload, application, industry and geography.
Collaborative Robot Market, by Component:
- Hardware
- Robotic Arm
- End Effector or End of Arm Tool (EOAT)
- Welding Guns
- Grippers
- Drives
- Controllers
- Sensors
- Power Supply
- Motors
- Others (PCBs, diodes, relays, transformers, resistors, rectifiers, capacitors, cables, vision systems, and connectors)
- Software
Collaborative Robot Market, by Payload:
- Up to 5 Kg
- 5-10 Kg
- Above 10 Kg
Collaborative Robot Market, by Application:
- Handling
- Welding and Soldering
- Assembling & Disassembling
- Dispensing
- Processing
- Others (Inspection and Quality testing, and Die-casting and Molding.)
- COVID-19 Impact on market for various applications
Collaborative Robot Market, by Industry
- Automotive
- Electronics
- Metals & Machining
- Plastics and Polymers
- Food and Beverages
- Furniture and Equipment
- Healthcare
- Others (Scientific Research, Logistics, Education, Consumer goods, and Die cast and Foundry)
- COVID-19 Impact on market for various industries
Geographic Analysis:
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- Italy
- Spain
- France
- UK
- Rest of Europe
- APAC
- China
- South Korea
- Japan
- Taiwan
- Thailand
- India
- Rest of APAC
- RoW
- Middle East & Africa
- South America
- Impact of COVID-19 on the Collaborative Robot Market in various regions
Recent Developments
- In February 2021, ABB (Switzerland) expanded its collaborative robot (cobot) portfolio with the new GoFa and SWIFTI cobot families, offering higher payloads and speeds, to complement YuMi and Single Arm YuMi in ABB’s cobot line-up. These stronger, faster and more capable cobots will accelerate the company’s expansion in high-growth segments including electronics, healthcare, consumer goods, logistics and food and beverage, amongst others, meeting the growing demand for automation across multiple industries.
- In March 2020, Techman Robot (Taiwan), a global leader of the collaborative robot opened its first office in Europe, dedicated to providing instant services, training courses, and also as an inventory hub. The new office is located in the Netherlands, which allows Techman Robot to respond effectively to the growing needs of their partners and customers in Europe, and also supports more local businesses that are interested in implementing robotic solutions.
- In February 2020, Universal Robots (Denmark) and Mobile Industrial Robots (Denmark) together announced expansion into a new cobot hub in Odense, Denmark, with the financial backing of their parent company, Teradyne (US). The new hub will help attract new employees to facilitate the continued growth expected by the two companies in the coming years.
Frequently Asked Questions (FAQ):
What will be the dynamics for the adoption of collaborative robots based on payload?
The cobots having payload capacity up to 5 kg are expected to be the most widely adopted. They can be deployed across different industries such as automotive, metal & machinery, food and beverage, electronic industries for a wide range of applications owing to their versatility and ease of programming. The cobots having payload capacity between 5-10 kg are mainly used for variety of handling applications such as pick and place, material handling, palletizing, and machine tending majorly in automotive and electronic industries whereas the cobots with more than 10 kg payload capacity are used for applications such as heavy-duty material handling, heavy-part handling, multi-part handling, and machine tending.
Which component will contribute more to the overall market growth by 2027?
The robot arms is expected to contribute considerably to the collaborative robot market during the forecast period. The highest growth rate for robot arms during the forecast period can be largely attributed to its high cost on account of its functionality, time-consuming design process and complexities associated with its design. The arm has to be built as per the ISO/TS 15066 standard and certified for the same. When compared to traditional industrial robots, collaborative robots often have a curved arm to make it safe for human contact. This feature is crucial as collaborative robots work in close proximity with the human workers.
How will technological developments such as AI and 5G change the collaborative robot landscape in the future?
Advancement in AI is expected to drastically improve the operational capabilities of collaborative robots and provide a desired long-term outcome for increased production visibility, real-time guidance, and data-driven performance. AI is being leveraged for speech recognition, object detection, and enhancing locomotion in collaborative robots. 5G technology on the other hand is expected to enhance interconnectivity and coordination in large number of collaborative robots deployed in manufacturing facilities. Companies have already begun to test private 5G networks in their manufacturing facilities.
Which region is expected to adopt collaborative robots at a fast rate?
APAC region is expected to adopt collaborative robots at the fastest rate. Developing countries such as China, India, Thailand and Taiwan are expected to have a high potential for the future growth of the market.
What are the key market dynamics influencing market growth? How will they turn into strengths or weaknesses of companies operating in the market space?
Increased need for automation in manufacturing facilities is expected to drive the need for collaborative robots. This is because increasing labour costs and a low robot density (robots installed per thousand workers) have threatened productivity, making it difficult for manufacturers to retain their low manufacturing cost advantage. With the rise in SMEs, the deployment of collaborative robots is witnessing remarkable growth. The collaborative robots being cost-effective and easier to deploy are an ideal means of automation for small and medium scale enterprises. The Return on Investment (ROI) derived from the deployment of collaborative robots is higher than the traditional robotics system. Hence, these robots benefit businesses of all sizes. Additionally, there is an increased demand for collaborative robots in e-commerce and logistic industries due to the contingency of COVID-19, which is expected to strengthen the market demand further. .
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 38)
1.1 STUDY OBJECTIVES
1.2 DEFINITION AND SCOPE
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
FIGURE 1 SEGMENTATION OF COLLABORATIVE ROBOT MARKET
1.3.1 YEARS CONSIDERED
1.4 CURRENCY AND PRICING UNITS
1.5 VOLUME UNIT CONSIDERED
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY (Page No. - 44)
2.1 RESEARCH DATA
FIGURE 2 COLLABORATIVE ROBOT (COBOT) MARKET: RESEARCH DESIGN
2.1.1 SECONDARY DATA
2.1.1.1 Major secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 Breakdown of primaries
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.1.4 KEY INDUSTRY INSIGHTS
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY [APPROACH 1–BOTTOM-UP (DEMAND SIDE)]: DEMAND FOR COLLABORATIVE ROBOTS IN THE US
FIGURE 4 COLLABORATIVE ROBOT MARKET: BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY [APPROACH 2 (SUPPLY SIDE)]: REVENUE GENERATED FROM PRODUCTS IN MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY [APPROACH 2 (SUPPLY SIDE)]: ILLUSTRATION OF REVENUE ESTIMATION FOR ONE COMPANY IN MARKET
FIGURE 7 COLLABORATIVE ROBOT MARKET: TOP-DOWN APPROACH
2.2.3 MARKET PROJECTIONS
TABLE 1 MARKET GROWTH ASSUMPTIONS
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 8 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.4.1 ASSUMPTIONS
2.5 LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY (Page No. - 57)
FIGURE 9 GLOBAL PROPAGATION OF COVID-19
TABLE 2 RECOVERY SCENARIOS FOR THE GLOBAL ECONOMY
3.1 REALISTIC SCENARIO
3.2 OPTIMISTIC SCENARIO
3.3 PESSIMISTIC SCENARIO
FIGURE 10 GROWTH PROJECTIONS OF COLLABORATIVE ROBOT MARKET IN REALISTIC, OPTIMISTIC, AND PESSIMISTIC SCENARIOS
FIGURE 11 IMPACT OF COVID-19 ON THE MARKET
FIGURE 12 COBOTS WITH PAYLOAD UP TO 5 KG TO DOMINATE MARKET THROUGHOUT THE FORECAST PERIOD
FIGURE 13 MARKET FOR SOFTWARE COMPONENT T0 GROW AT HIGHER CAGR DURING THE FORECAST PERIOD
FIGURE 14 HANDLING APPLICATION TO DOMINATE MARKET DURING FORECAST PERIOD
FIGURE 15 MARKET FOR ELECTRONICS INDUSTRY TO WITNESS THE FASTEST GROWTH DURING THE FORECAST PERIOD
FIGURE 16 APAC TO ACCOUNT FOR THE LARGEST SHARE OF THE COLLABORATIVE ROBOT MARKET IN 2021
4 PREMIUM INSIGHTS (Page No. - 67)
4.1 ATTRACTIVE OPPORTUNITIES IN THE COLLABORATIVE ROBOT MARKET
FIGURE 17 HIGH RETURN ON INVESTMENT (ROI) ON COLLABORATIVE ROBOTS COMPARED TO TRADITIONAL INDUSTRIAL ROBOTIC SYSTEMS IS EXPECTED TO FUEL MARKET GROWTH
4.2 COLLABORATIVE ROBOT MARKET, BY PAYLOAD
FIGURE 18 MARKET FOR COLLABORATIVE ROBOTS WITH PAYLOAD CAPACITY 5-10 KG TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD
4.3 MARKET, BY APPLICATION
FIGURE 19 HANDLING APPLICATION TO HOLD THE LARGEST SHARE OF THE MARKET IN 2021
4.4 MARKET, BY INDUSTRY
FIGURE 20 AUTOMOTIVE INDUSTRY TO HOLD THE LARGEST SHARE OF MARKET IN 2021
4.5 MARKET IN APAC, BY INDUSTRY VS. BY COUNTRY/REGION
FIGURE 21 AUTOMOTIVE INDUSTRY AND CHINA TO HOLD LARGEST SHARE OF COLLABORATIVE ROBOT MARKET IN APAC, BY INDUSTRY AND COUNTRY, RESPECTIVELY, IN 2021
4.6 MARKET, BY COUNTRY
FIGURE 22 THE US TO HOLD THE LARGEST SHARE OF MARKET IN 2021
5 MARKET OVERVIEW (Page No. - 71)
5.1 INTRODUCTION
5.2 EMERGING APPLICATIONS OF COLLABORATIVE ROBOTS
5.3 MARKET DYNAMICS
FIGURE 23 IMPACT OF DRIVERS AND OPPORTUNITIES ON THE COLLABORATIVE ROBOT MARKET
FIGURE 24 IMPACT OF RESTRAINTS AND CHALLENGES ON MARKET
5.3.1 DRIVERS
5.3.1.1 High return on investment as compared to the traditional industrial robotic system
5.3.1.2 Increasing demand in the e-commerce and logistics industries due to contingency of COVID-19
TABLE 3 GLOBAL E-COMMERCE SALES
TABLE 4 TOP 10 ECONOMIES IN THE B2C E-COMMERCE INDEX 2020
5.3.1.3 Collaborative robots to benefit businesses of all sizes
5.3.1.4 Increased ease of programming of collaborative robots
5.3.2 RESTRAINTS
5.3.2.1 Higher preference for low payload capacity traditional industrial robots over cobots in heavy-duty industries
5.3.3 OPPORTUNITIES
5.3.3.1 Collaborative robots paired with AMRs and AGVs to provide a significant market opportunity
5.3.3.2 Robots-as-a-Service model to accelerate the adoption of collaborative robots
5.3.3.3 Growing demand for automation in the healthcare industry post COVID-19
5.3.4 CHALLENGES
5.3.4.1 Payload and speed limitations of collaborative robots owing to their inherent design
5.3.4.2 Adapting to the new collaborative robot standards and rising cybersecurity challenges in connected robots
5.4 SUPPLY CHAIN ANALYSIS
FIGURE 25 SUPPLY CHAIN ANALYSIS OF ECOSYSTEM OF COLLABORATIVE ROBOTS: R&D AND MANUFACTURING PHASES ADD MAXIMUM VALUE
5.4.1 PLANNING AND REVISING FUNDS
5.4.2 RESEARCH & DEVELOPMENT (R&D)
5.4.3 MANUFACTURING
5.4.4 ASSEMBLY, DISTRIBUTION, AND AFTER-SALES SERVICES
5.5 ECOSYSTEM/MARKET MAP
FIGURE 26 COLLABORATIVE ROBOT ECOSYSTEM
TABLE 5 PLAYERS AND THEIR ROLE IN THE ECOSYSTEM
5.5.1 COLLABORATIVE ROBOT OEMS
5.5.2 SUPPLIERS
5.5.3 ROBOT INTEGRATORS
5.5.4 DISTRIBUTORS
5.5.5 IT/BIG DATA COMPANIES
5.5.6 RESEARCH CENTERS
5.6 PORTER’S FIVE FORCES MODEL
TABLE 6 COLLABORATIVE ROBOT MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 27 MARKET: PORTER’S FIVE FORCES ANALYSIS
5.6.1 INTENSITY OF COMPETITIVE RIVALRY
5.6.2 BARGAINING POWER OF SUPPLIERS
5.6.3 BARGAINING POWER OF BUYERS
5.6.4 THREAT OF SUBSTITUTES
5.6.5 THREAT OF NEW ENTRANTS
5.7 TRENDS IMPACTING CUSTOMERS’ BUSINESS
FIGURE 28 SHIFT IN CLIENTS’ REVENUES: WITH EXTENDED LENS ON AUTOMOTIVE, ELECTRICAL & ELECTRONICS, PHARMACEUTICAL & COSMETICS, AND LOGISTICS INDUSTRIES
5.8 CASE STUDIES
5.8.1 AUTOMOTIVE
5.8.1.1 AUDI uses FANUC collaborative robots to check welds
5.8.1.2 Beijing BAI Lear Automotive System Co. Ltd. (BAI Lear) deployed collaborative robots from Universal Robots
5.8.1.3 Ford deploys three UR10 collaborative robots from Universal Robots for automated engine oil filling
5.8.1.4 BMW used KUKA LBR iiwa for insertion of components in car body construction
5.8.1.5 Nissan Motor Company deployed UR10 robots from Universal Robots at its Yokohama production plant
5.8.1.6 Ford Motor Company automated its vehicle production line with the KUKA LBR iiwa
5.8.1.7 ALPLA Corporation automated its production line using the UR3 and UR5 robots from Universal Robots
5.8.1.8 Robert Bosch used two APAS assistant robots in its utility vehicle production facility for diesel injection systems
5.8.1.9 Bajaj Auto Limited used robots from Universal Robots to automate the assembly line at its motorcycle manufacturing facility
5.8.2 ELECTRONICS
5.8.2.1 Blue Star Limited deploys collaborative robot UR10 from Universal Robots to pave the path for zero quality rejections
5.8.2.2 InPrint deploys collaborative robot from Universal Robots for optimizing pick and place application
5.8.2.3 Beyerdynamic used the UR3 and UR5 collaborative robots from Universal Robots to increase quality and productivity
5.8.2.4 ASM Assembly Systems used KUKA LBR iiwa robots to optimize its SMT lines for the electronics industry
5.8.2.5 ABB installed its YuMi collaborative robot at its Low Voltage Products plant in Jablonec nad Nisou, Czech Republic
5.8.2.6 ASM Assembly Systems installed the Sawyer robot from Rethink Robotics for factory automation
5.8.2.7 Robert Bosch installed its APAS robot production facility for EPS control units for automotive steering systems
5.8.2.8 P4Q electronics increased its production throughput by 25% by deploying smart, adaptable automation on the factory floor
5.8.3 METALS AND MACHINERY
5.8.3.1 All Axis Machining deployed the collaborative robot from Universal Robots for automation of legacy machines
5.8.3.2 Carl Zeiss India deployed the UR5 collaborative robot from Universal Robots for boosting the productivity
5.8.3.3 STAMIT deployed the UR10 collaborative robot from Universal Robots in a high-mix/low-volume production line
5.8.3.4 Fitzpatrick Manufacturing deployed the Sawyer robot for quality testing
5.8.3.5 Aircraft Tooling, Inc. installed collaborative robots from Universal Robots for metal powder and plasma spray processes
5.8.3.6 Stihl deployed the FANUC CR-35iA collaborative robot across the cut-off saw packaging line
5.8.3.7 BAUMRUK & BAUMRUK automated its process of loading smaller parts into milling centers
5.8.4 FURNITURE AND EQUIPMENT
5.8.4.1 ASSA ABLOY installed UR5 robot from Universal Robots to overcome workplace health and safety challenges
5.8.4.2 Etalex installed the UR10 robot from Universal Robots for pick and place of metal parts
5.8.4.3 ModuForm deployed the Sawyer robot from Rethink Robotics to overcome the shortage of workers
5.8.4.4 Acron Sales Company installed the Sawyer robot from Rethink Robotics to maintain throughput, improve product quality, and reduce reliance on outside suppliers
5.8.4.5 Assa Abloy automated the assembly and packaging line for high-volume hinges with the Sawyer robot from Rethink Robotics
5.8.4.6 Voodoo Manufacturing used collaborative robots from Universal Robots to automate its additive manufacturing process
5.8.5 PLASTICS AND POLYMERS
5.8.5.1 2K Trend A.S. deployed Universal Robot’s UR10 to solve labor shortage and automate production
5.8.5.2 Cox Container deployed Rethink Robotics’ Sawyer robot to boost factory productivity
5.8.5.3 Plastic Molded Concepts (PMC) deployed Rethink Robotics’ Sawyer robot to boost the efficiency of its molding machines
5.8.5.4 Harrison Manufacturing installed Rethink Robotics’ Sawyer at its facility in Jackson, Mississippi
5.8.5.5 Tennplasco installed Rethink Robotics’ Sawyer to gain a competitive advantage in the injection molding market
5.8.5.6 Trelleborg Sealing Solution automated machine tending of CNC machines with 42 collaborative robots from Universal Robots
5.8.6 PERSONAL ASSIST
5.8.6.1 ISAK GmbH is exploring the potential of human-robot collaboration across the assembly process
5.8.6.2 RCM Industries deployed Universal Robots to contain the risk of COVD-19 outbreak within its facility
5.8.7 FOOD AND BEVERAGE
5.8.7.1 Cascina Italia deploys collaborative robots from Universal Robots for improving efficiency
5.8.7.2 Orkla foods deploys collaborative robot UR10 from Universal Robot to streamline production and packaging
5.8.7.3 Bischofszell Nahrungsmittel AG used the collaborative robot YuMi from ABB for achieving accuracy in labelling process
5.8.7.4 Rieber GmbH & Co. KG used an APAS assistant from Robert Bosch for process and logistics automation in industrial kitchens
5.8.7.5 Atria Scandinavia optimized labeling, packaging, and palletizing tasks with collaborative robots
5.8.7.6 Cascina Italia improved the flexibility and operational efficiency of its business with the UR5 robot from Universal Robots
5.8.8 PHARMA AND CHEMISTRY
5.8.8.1 Glidewell Laboratories used collaborative robots to optimize its production time
&nbsnbsp; 5.8.8.2 Copenhagen University Hospital used collaborative robots for handling and sorting blood samples for analysis
5.8.8.3 Glide Laboratories used collaborative robots to facilitate machine tending tasks for the quick manufacturing of dental crowns
5.8.8.4 MARKA used collaborative robots for precise positioning and tightening of bottle caps
5.8.9 EDUCATION
5.8.9.1 PSG College of Technology (India) incorporated a collaborative robot from Universal Robot in their robotics program
5.8.9.2 University of Edinburgh’s EPSRC Centre for Doctoral Training (CDT) purchased a pair of Baxter robots from Rethink Robotics
5.8.9.3 University of Hertfordshire deployed Baxter Robots from Rethink Robotics at the School of Computer Science
5.8.10 SCIENTIFIC RESEARCH
5.8.10.1 iQLANDIA Science Centre (Czech Republic) deployed Universal Robot for an exhibition with the purpose of displaying advancements in robotic technology
5.8.10.2 AGH University of Science and Technology (Poland) deployed robots from Universal Robots for a specialized robotics station
5.8.10.3 Aurolab deployed collaborative robots for automating material handling and pick-and-place tasks
5.8.11 OTHERS
5.8.11.1 LEM Optical integrated collaborative robots for optimizing laser marking and dispensing processes
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGY
5.9.1.1 Integration of embedded vision with collaborative robots
5.9.1.2 Integration of mobile robot technology with collaborative robots
5.9.2 COMPLEMENTARY TECHNOLOGY
5.9.2.1 Penetration of Industrial Internet of Things (IIoT) and AI in industrial manufacturing
5.9.2.2 Adoption of innovative grippers in robotics manipulation
5.9.3 ADJACENT TECHNOLOGY
5.9.3.1 Penetration of 5G in industrial manufacturing
5.10 TRADE ANALYSIS
5.10.1 IMPORT SCENARIO
5.10.1.1 Import scenario for industrial robots
TABLE 7 INDUSTRIAL ROBOTS IMPORTS, 2012–2020 (USD MILLION)
5.10.2 EXPORT SCENARIO
5.10.2.1 Export scenario for industrial robots
TABLE 8 INDUSTRIAL ROBOTS EXPORTS, 2012–2020 (USD MILLION)
5.10.3 PATENT ANALYSIS
TABLE 9 PATENTS FILED FOR VARIOUS TYPES OF COLLABORATIVE ROBOTS, 2018–2020
FIGURE 29 COLLABORATIVE ROBOTS PATENTS PUBLISHED BETWEEN 2010 AND 2020
FIGURE 30 TOP 10 COMPANIES WITH THE HIGHEST NO. OF PATENT APPLICATIONS DURING 2010–2020
5.11 TARIFFS
TABLE 10 MFN TARIFFS FOR INDUSTRIAL ROBOT EXPORTED BY US
TABLE 11 MFN TARIFFS FOR INDUSTRIAL ROBOT EXPORTED BY CHINA
5.11.1 POSITIVE IMPACT OF TARIFFS ON INDUSTRIAL ROBOTS
5.11.2 NEGATIVE IMPACT OF TARIFFS ON INDUSTRIAL ROBOTS
5.11.3 REGULATIONS AND STANDARDS
5.11.3.1 Regulations and standards in North American countries
5.11.3.2 Regulations and standards in European countries
5.11.3.3 Regulations and standards in APAC countries
5.11.3.4 Regulations and standards governing collaborative robots
5.12 AVERAGE SELLING PRICE TREND
TABLE 12 AVERAGE SELLING PRICES OF VARIOUS INDUSTRIAL ROBOTS BASED ON PAYLOAD CAPACITY
FIGURE 31 AVERAGE SELLING PRICE TREND FOR COLLABORATIVE ROBOTS WITH VARIOUS PAYLOAD CAPACITIES
FIGURE 32 AVERAGE SELLING PRICE TREND OF COBOTS ADOPTED IN VARIOUS INDUSTRIES
6 COLLABORATIVE ROBOT (COBOT) MARKET, BY PAYLOAD (Page No. - 119)
6.1 INTRODUCTION
TABLE 13 COLLABORATIVE ROBOT MARKET, BY PAYLOAD, 2017–2020 (USD MILLION)
FIGURE 33 COBOTS WITH PAYLOAD CAPACITY UP TO 5 KG TO HOLD THE LARGEST SHARE OF THE MARKET DURING THE FORECAST PERIOD
TABLE 14 MARKET, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 15 MARKET, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 16 MARKET, BY PAYLOAD, 2021–2027 (UNITS)
6.2 UP TO 5 KG
6.2.1 COBOTS WITH PAYLOAD CAPACITY BELOW 5 KG ARE INHERENTLY SAFE
TABLE 17 COMPANIES OFFERING COBOTS WITH PAYLOAD CAPACITY UP TO 5 KG
TABLE 18 MARKET FOR PAYLOAD UP TO 5 KG, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 19 MARKET FOR PAYLOAD UP TO 5 KG, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 20 MARKET FOR PAYLOAD UP TO 5 KG, BY APPLICATION, 2017–2020 (UNITS)
TABLE 21 COLLABORATIVE ROBOT MARKET FOR PAYLOAD UP TO 5 KG, BY APPLICATION, 2021–2027 (UNITS)
TABLE 22 MARKET FOR PAYLOAD UP TO 5 KG, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 23 MARKET FOR PAYLOAD UP TO 5 KG, BY INDUSTRY, 2021–2027 (USD MILLION)
6.3 5–10 KG
6.3.1 MOST COBOTS WITH 5–10 KG PAYLOAD CAPACITY CAN BE EQUIPPED WITH IN-BUILT FORCE SENSORS
TABLE 24 COMPANIES OFFERING COBOTS WITH 5–10 KG PAYLOAD CAPACITY
TABLE 25 COLLABORATIVE ROBOT MARKET FOR 5–10 KG PAYLOAD, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 26 MARKET FOR 5–10 KG PAYLOAD, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 27 MARKET FOR 5–10 KG PAYLOAD, BY APPLICATION, 2017–2020 (UNITS)
TABLE 28 MARKET FOR 5–10 KG PAYLOAD, BY APPLICATION, 2021–2027 (UNITS)
TABLE 29 MARKET FOR 5–10 KG PAYLOAD, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 30 COLLABORATIVE ROBOT MARKET FOR 5–10 KG PAYLOAD, BY INDUSTRY, 2021–2027 (USD MILLION)
6.4 MORE THAN 10 KG
6.4.1 ADVANCES IN ROBOTIC HARDWARE ENABLING MANUFACTURERS TO DEVELOP COLLABORATIVE ROBOTS WITH A PAYLOAD CAPACITY ABOVE 10 KG
TABLE 31 COMPANIES OFFERING COBOTS WITH PAYLOAD CAPACITY MORE THAN 10 KG
TABLE 32 MARKET FOR MORE THAN 10 KG PAYLOAD, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 33 MARKET FOR MORE THAN 10 KG PAYLOAD, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 34 MARKET FOR MORE THAN 10 KG PAYLOAD, BY APPLICATION, 2017–2020 (UNITS)
TABLE 35 COLLABORATIVE ROBOT MARKET FOR MORE THAN 10 KG PAYLOAD, BY APPLICATION, 2021–2027 (UNITS)
TABLE 36 MARKET FOR MORE THAN 10 KG PAYLOAD, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 37 MARKET FOR MORE THAN 10 KG PAYLOAD, BY INDUSTRY, 2021–2027 (USD MILLION)
7 COLLABORATIVE ROBOT (COBOT) MARKET, BY COMPONENT (Page No. - 136)
7.1 INTRODUCTION
TABLE 38 COLLABORATIVE ROBOT MARKET, BY COMPONENT, 2017–2020 (USD MILLION)
TABLE 39 MARKET, BY COMPONENT, 2021–2027 (USD MILLION)
7.2 HARDWARE
TABLE 40 MARKET FOR HARDWARE, BY COMPONENT, 2017–2020 (USD MILLION)
FIGURE 34 ROBOTIC ARM TO HOLD THE LARGEST SHARE OF MARKET FOR HARDWARE COMPONENT DURING THE FORECAST PERIOD
TABLE 41 MARKET FOR HARDWARE, BY COMPONENT, 2021–2027 (USD MILLION)
7.2.1 ROBOTIC ARM
7.2.1.1 Robotic arm design is defined by ISO/TS 15066 standard
7.2.2 END EFFECTOR OR END OF ARM TOOL (EOAT)
7.2.2.1 Welding Guns
7.2.2.1.1 Hand guidance feature of collaborative robots makes welding tasks easier
TABLE 42 PLAYERS MANUFACTURING ROBOTIC WELDING GUNS
7.2.2.2 Grippers
7.2.2.2.1 Pneumatic
7.2.2.2.1.1 Pneumatic grippers require an external air supply to operate
7.2.2.2.2 Electric
7.2.2.2.2.1 Electric grippers are the easiest to program and operate compared to other grippers
TABLE 43 PLAYERS MANUFACTURING ELECTRIC GRIPPERS
7.2.2.2.3 Dexterous robotic hand
7.2.2.2.3.1 4-Finger Robotic Hand may be used without a robotic arm
7.2.2.2.3.2 5-Finger Robotic Hands are used in combination with industrial as well as collaborative robotic arms
7.2.2.2.4 Vacuum
7.2.2.2.4.1 Vacuum grippers can easily handle uneven and large area workpieces
7.2.2.2.5 Magnetic
7.2.2.2.5.1 Magnetic grippers are not as popular as other types of grippers
TABLE 44 PLAYERS MANUFACTURING MAGNETIC GRIPPERS
7.2.2.3 Robotic Screwdrivers
7.2.2.3.1 Robotic screwdrivers apply consistent torque during screwdriving
7.2.2.4 Sanding and deburring tools
7.2.2.4.1 Sanding and deburring tools are used for material removal
7.2.2.5 Others
7.2.2.5.1 Others include specialty and hybrid end effectors
7.2.3 DRIVES
7.2.3.1 Drives convert electrical energy into mechanical energy
7.2.4 CONTROLLERS
7.2.4.1 Controllers carry out necessary instructions required to operate cobots
7.2.5 SENSORS
7.2.5.1 Sensors help in measurement and translation of information into meaningful data
7.2.6 POWER SUPPLY
7.2.6.1 Most cobots operate at 24 V or 48 V
7.2.7 MOTORS
7.2.7.1 Cobots are fitted with light but powerful motors
7.2.8 OTHERS
7.3 SOFTWARE
7.3.1 COBOT MANUFACTURERS INVEST SUBSTANTIAL EFFORTS TO DEVELOP INTUITIVE PROGRAMMING SOFTWARE
8 COLLABORATIVE ROBOT MARKET, BY APPLICATION (Page No. - 150)
8.1 INTRODUCTION
TABLE 45 COLLABORATIVE ROBOT MARKET RANKING ANALYSIS, BY APPLICATION
TABLE 46 MARKET, BY APPLICATION, 2017–2020 (USD MILLION)
FIGURE 35 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION TO GROW AT THE HIGHEST CAGR DURING FORECAST PERIOD
TABLE 47 MARKET, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 48 MARKET, BY APPLICATION, 2017–2020 (UNITS)
TABLE 49 COLLABORATIVE ROBOT MARKET, BY APPLICATION, 2021–2027 (UNITS)
8.2 HANDLING
TABLE 50 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR HANDLING APPLICATION
TABLE 51 MARKET FOR HANDLING APPLICATION, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 52 MARKET FOR HANDLING APPLICATION, BY INDUSTRY, 2021–2027 (USD MILLION)
TABLE 53 MARKET FOR HANDLING APPLICATION, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 54 MARKET FOR HANDLING APPLICATION, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 55 MARKET FOR HANDLING APPLICATION, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 56 COLLABORATIVE ROBOT MARKET FOR HANDLING APPLICATION, BY PAYLOAD, 2021–2027 (UNITS)
8.2.1 PICK AND PLACE
8.2.1.1 Pick and place task is the easiest to program for first-time users
8.2.2 MATERIAL HANDLING
8.2.2.1 Material handling consists of order fulfilment using mobile units
8.2.3 PACKAGING AND PALLETIZING
8.2.3.1 Packing and palletizing often require medium payload cobots
8.2.4 MACHINE TENDING
8.2.4.1 Cobots are used alongside CNC, injection, and blow molding machines
TABLE 57 COLLABORATIVE ROBOT MARKET FOR HANDLING, BY APPLICATION, 2017–2020 (USD MILLION)
FIGURE 36 MARKET FOR MATERIAL HANDLING TASKS TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
TABLE 58 MARKET FOR HANDLING, BY APPLICATION, 2021–2027 (USD MILLION)
8.3 ASSEMBLING & DISASSEMBLING
TABLE 59 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR ASSEMBLING & DISASSEMBLING APPLICATION
8.3.1 SCREWDRIVING
8.3.1.1 Cobots can handle torque forces required for screwdriving applications
8.3.2 NUT FASTENING
8.3.2.1 Cobots suitable for nut fastening on medium and large workpieces
TABLE 60 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 61 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION, BY INDUSTRY, 2021–2027 (USD THOUSAND)
TABLE 62 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 63 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 64 MARKET FOR ASSEMBLING & DISASSEMBLING APPLICATION, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 65 COLLABORATIVE ROBOT MARKET FOR ASSEMBLING & DISASSEMBLING ASSEMBLING & DISASSEMBLING APPLICATION, BY PAYLOAD, 2021–2027 (UNITS)
8.4 WELDING AND SOLDERING
8.4.1 WELDING AND SOLDERING IS A NICHE APPLICATION FOR COBOTS
TABLE 66 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR WELDING & SOLDERING APPLICATION
TABLE 67 MARKET FOR WELDING AND SOLDERING APPLICATION, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 68 MARKET FOR WELDING AND SOLDERING APPLICATION, BY INDUSTRY, 2021–2027 (USD THOUSAND)
TABLE 69 MARKET FOR WELDING AND SOLDERING APPLICATION, BY PAYLOAD, 2017–2020 (USD THOUSAND)
TABLE 70 MARKET FOR WELDING AND SOLDERING APPLICATION, BY PAYLOAD, 2021–2027 (USD THOUSAND)
TABLE 71 MARKET FOR WELDING AND SOLDERING APPLICATION, BY PAYLOAD 2017–2020 (UNITS)
TABLE 72 COLLABORATIVE ROBOT MARKET FOR WELDING AND SOLDERING APPLICATION, BY PAYLOAD 2021–2027 (UNITS)
8.5 DISPENSING
TABLE 73 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR DISPENSING APPLICATION
8.5.1 GLUING
8.5.1.1 Robotic gluing ensures quality and consistency of application
8.5.2 PAINTING
8.5.2.1 Cobot painting is suitable for low volume production
TABLE 74 MARKET FOR DISPENSING APPLICATION, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 75 MARKET FOR DISPENSING APPLICATION, BY INDUSTRY, 2021–2027 (USD THOUSAND)
TABLE 76 MARKET FOR DISPENSING APPLICATION, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 77 MARKET FOR DISPENSING APPLICATION, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 78 MARKET FOR DISPENSING APPLICATION, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 79 COLLABORATIVE ROBOT MARKET FOR DISPENSING APPLICATION, BY PAYLOAD, 2021–2027 (UNITS)
8.6 PROCESSING
TABLE 80 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR PROCESSING APPLICATION
8.6.1 GRINDING
8.6.1.1 For grinding tasks, a force/torque sensor is often used along with end effector
8.6.2 MILLING
8.6.2.1 Milling tasks consist of deburring, chamfering, and scraping operations
8.6.3 CUTTING
8.6.3.1 Cobots are being used for cutting applications on a very small scale
TABLE 81 MARKET FOR PROCESSING APPLICATION, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 82 MARKET FOR PROCESSING APPLICATION, BY INDUSTRY, 2021–2027 (USD THOUSAND)
TABLE 83 COLLABORATIVE ROBOT MARKET FOR PROCESSING APPLICATION, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 84 MARKET FOR PROCESSING APPLICATION, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 85 MARKET FOR PROCESSING APPLICATION, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 86 MARKET FOR PROCESSING APPLICATION, BY PAYLOAD, 2021–2027 (UNITS)
TABLE 87 MARKET FOR PROCESSING, BY APPLICATION, 2017–2020 (USD MILLION)
FIGURE 37 GRINDING TASKS TO HOLD THE LARGEST SHARE OF THE MARKET FOR PROCESSING APPLICATION DURING THE FORECAST PERIOD
TABLE 88 MARKET FOR PROCESSING, BY APPLICATION, 2021–2027 (USD MILLION)
8.7 OTHERS
TABLE 89 COMPANIES OFFERING COLLABORATIVE ROBOTS FOR OTHER APPLICATIONS
8.7.1 INSPECTION AND QUALITY TESTING
8.7.1.1 Cobots can inspect complex-shaped objects alongside human workers
8.7.2 DIE-CASTING AND MOLDING
8.7.2.1 Cobots are ideal for automating injection molding tasks
TABLE 90 COLLABORATIVE ROBOT MARKET FOR OTHER APPLICATIONS, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 91 MARKET FOR OTHER APPLICATIONS, BY INDUSTRY, 2021–2027 (USD THOUSAND)
TABLE 92 MARKET FOR OTHER APPLICATIONS, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 93 MARKET FOR OTHER APPLICATIONS, BY PAYLOAD, 2021–2027 (USD MILLION)
TABLE 94 MARKET FOR OTHER APPLICATIONS, BY PAYLOAD, 2017–2020 (UNITS)
TABLE 95 MARKET FOR OTHER APPLICATIONS, BY PAYLOAD, 2021–2027 (UNITS)
8.8 IMPACT OF COVID-19 ON COLLABORATIVE ROBOT APPLICATION
8.8.1 MOST IMPACTED APPLICATION
FIGURE 38 IMPACT OF COVID-19 ON MARKET FOR WELDING & SOLDERING APPLICATION
TABLE 96 GLOBAL SALES OF VEHICLES FOR 2019-2020 (UNITS)
8.8.2 LEAST IMPACTED APPLICATION
FIGURE 39 IMPACT OF COVID-19 ON COLLABORATIVE ROBOT MARKET FOR DISPENSING APPLICATION
9 COLLABORATIVE ROBOT MARKET, BY INDUSTRY (Page No. - 181)
9.1 INTRODUCTION
TABLE 97 MARKET SIZE, BY INDUSTRY, 2017–2020 (USD MILLION)
FIGURE 40 MARKET IN ELECTRONICS INDUSTRY TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
TABLE 98 MARKET SIZE, BY INDUSTRY, 2021–2027 (USD MILLION)
TABLE 99 MARKET SIZE, BY INDUSTRY, 2017–2020 (UNITS)
TABLE 100 COLLABORATIVE ROBOT MARKET SIZE, BY INDUSTRY, 2021–2027 (UNITS)
9.2 AUTOMOTIVE
9.2.1 COLLABORATIVE ROBOTS ARE BEING USED TO PERFORM LIGHT AND REPETITIVE TASKS
TABLE 101 MARKET SIZE IN AUTOMOTIVE INDUSTRY, BY REGION, 2017–2020 (USD MILLION)
FIGURE 41 COBOT MARKET FOR AUTOMOTIVE INDUSTRY IN APAC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 102 MARKET SIZE IN AUTOMOTIVE INDUSTRY, BY REGION, 2021–2027 (USD MILLION)
TABLE 103 COLLABORATIVE ROBOT MARKET SIZE IN AUTOMOTIVE INDUSTRY, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 104 MARKET SIZE IN AUTOMOTIVE INDUSTRY, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 105 MARKET SIZE IN AUTOMOTIVE INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 106 MARKET FOR AUTOMOTIVE INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.3 ELECTRONICS
9.3.1 COLLABORATIVE ROBOTS CAN HANDLE SMALL AND FRAGILE COMPONENTS IN ELECTRONICS INDUSTRY
TABLE 107 COLLABORATIVE ROBOT MARKET SIZE IN ELECTRONICS INDUSTRY, BY REGION, 2017–2020 (USD MILLION)
TABLE 108 MARKET SIZE IN ELECTRONICS INDUSTRY, BY REGION, 2021–2027 (USD MILLION)
TABLE 109 MARKET SIZE IN ELECTRONICS INDUSTRY, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 110 MARKET SIZE IN ELECTRONICS INDUSTRY, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 111 COLLABORATIVE ROBOT MARKET SIZE IN ELECTRONICS INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 112 MARKET SIZE IN ELECTRONICS INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.4 METALS & MACHINING
9.4.1 COLLABORATIVE ROBOTS ARE USED ALONGSIDE CNC AND OTHER HEAVY MACHINERY TO AUTOMATE VARIOUS TASKS
TABLE 113 MARKET SIZE IN METALS & MACHINING INDUSTRY, BY REGION, 2017–2020 (USD MILLION)
FIGURE 42 APAC TO HOLD LARGEST SHARE OF MARKET IN METALS & MACHINING INDUSTRY IN 2021
TABLE 114 COLLABORATIVE ROBOT MARKET SIZE IN METALS & MACHINING INDUSTRY, BY REGION, 2021–2027 (USD MILLION)
TABLE 115 MARKET SIZE IN METALS & MACHINING INDUSTRY, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 116 MARKET SIZE IN METALS & MACHINING INDUSTRY, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 117 MARKET SIZE IN METALS & MACHINING INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 118 MARKET SIZE IN METALS & MACHINING INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.5 PLASTICS & POLYMERS
9.5.1 COLLABORATIVE ROBOTS ARE DEPLOYED ALONGSIDE INJECTION AND BLOW MOLDING MACHINES
TABLE 119 COLLABORATIVE ROBOT MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY REGION, 2017–2020 (USD MILLION)
TABLE 120 MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY REGION, 2021–2027 (USD MILLION)
TABLE 121 MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 122 MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 123 MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 124 COLLABORATIVE ROBOT MARKET SIZE IN PLASTICS & POLYMERS INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.6 FOOD & BEVERAGES
9.6.1 COLLABORATIVE ROBOTS ARE USED IN FOOD INDUSTRY FOR BOTH PRIMARY AND SECONDARY HANDLING APPLICATIONS
TABLE 125 MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY REGION, 2017–2020 (USD MILLION)
FIGURE 43 APAC TO WITNESS HIGHEST CAGR FOR COBOT MARKET IN FOOD & BEVERAGES INDUSTRY
TABLE 126 COLLABORATIVE ROBOT MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY REGION, 2021–2027 (USD MILLION)
TABLE 127 MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY APPLICATION, 2017–2020 (USD MILLION)
TABLE 128 MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY APPLICATION, 2021–2027 (USD MILLION)
TABLE 129 MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 130 MARKET SIZE IN FOOD & BEVERAGES INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.7 FURNITURE & EQUIPMENT
9.7.1 COLLABORATIVE ROBOTS ARE USED TO PERFORM VARIOUS PICK AND PLACE AND MACHINE TENDING APPLICATIONS
TABLE 131 COLLABORATIVE ROBOT MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY REGION, 2017–2020 (USD THOUSAND)
TABLE 132 MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY REGION, 2021–2027 (USD THOUSAND)
TABLE 133 MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY APPLICATION, 2017–2020 (USD THOUSAND)
TABLE 134 MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY APPLICATION, 2021–2027 (USD THOUSAND)
TABLE 135 MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 136 MARKET SIZE IN FURNITURE & EQUIPMENT INDUSTRY, BY PAYLOAD, 2021–2027 (USD MILLION)
9.8 HEALTHCARE
9.8.1 COLLABORATIVE ROBOTS ARE DEPLOYED FOR NON-SURGICAL APPLICATIONS IN HEALTHCARE INDUSTRY
TABLE 137 COLLABORATIVE ROBOT MARKET SIZE IN HEALTHCARE INDUSTRY, BY REGION, 2017–2020 (USD THOUSAND)
TABLE 138 MARKET SIZE IN HEALTHCARE INDUSTRY, BY REGION, 2021–2027 (USD THOUSAND)
TABLE 139 MARKET SIZE IN HEALTHCARE INDUSTRY, BY APPLICATION, 2017–2020 (USD THOUSAND)
TABLE 140 MARKET SIZE IN HEALTHCARE INDUSTRY, BY APPLICATION, 2021–2027 (USD THOUSAND)
TABLE 141 MARKET SIZE IN HEALTHCARE INDUSTRY, BY PAYLOAD, 2017–2020 (USD THOUSAND)
TABLE 142 MARKET SIZE IN HEALTHCARE INDUSTRY, BY PAYLOAD, 2021–2027 (USD THOUSAND)
9.9 OTHERS
TABLE 143 COLLABORATIVE ROBOT MARKET SIZE IN OTHER INDUSTRIES, BY REGION, 2017–2020 (USD MILLION)
TABLE 144 MARKET SIZE IN OTHER INDUSTRIES, BY REGION, 2021–2027 (USD MILLION)
TABLE 145 MARKET SIZE IN OTHER INDUSTRIES, BY APPLICATION, 2017–2020 (USD THOUSAND)
TABLE 146 MARKET SIZE IN OTHER INDUSTRIES, BY APPLICATION, 2021–2027 (USD THOUSAND)
TABLE 147 MARKET SIZE IN OTHER INDUSTRIES, BY PAYLOAD, 2017–2020 (USD MILLION)
TABLE 148 MARKET SIZE IN OTHER INDUSTRIES, BY PAYLOAD, 2021–2027 (USD MILLION)
9.10 IMPACT OF COVID-19 ON INDUSTRIES
9.10.1 MOST IMPACTED INDUSTRY
FIGURE 44 IMPACT OF COVID-19 ON COLLABORATIVE ROBOT MARKET IN AUTOMOTIVE INDUSTRY
9.10.2 LEAST IMPACTED INDUSTRY
FIGURE 45 IMPACT OF COVID-19 ON MARKET IN HEALTHCARE INDUSTRY
10 GEOGRAPHIC ANALYSIS (Page No. - 213)
10.1 INTRODUCTION
FIGURE 46 MARKET IN APAC COUNTRIES TO GROW AT SIGNIFICANT RATE DURING FORECAST PERIOD
TABLE 149 COLLABORATIVE ROBOT MARKET RANKING ANALYSIS, BY REGION
TABLE 150 MARKET SIZE, BY REGION, 2017–2020 (USD MILLION)
TABLE 151 MARKET SIZE, BY REGION, 2021–2027 (USD MILLION)
TABLE 152 MARKET, BY REGION, 2017–2020 (UNITS)
TABLE 153 MARKET, BY REGION, 2021–2027 (UNITS)
10.2 NORTH AMERICA
FIGURE 47 NORTH AMERICA: COLLABORATIVE ROBOT MARKET SNAPSHOT
TABLE 154 MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 155 MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2027 (USD MILLION)
TABLE 156 MARKET IN NORTH AMERICA, BY COUNTRY, 2017–2020 (UNITS)
TABLE 157 COLLABORATIVE ROBOT MARKET IN NORTH AMERICA, BY COUNTRY, 2021–2027 (UNITS)
TABLE 158 MARKET IN NORTH AMERICA, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 159 MARKET IN NORTH AMERICA, BY INDUSTRY, 2021–2027 (USD MILLION)
10.2.1 US
10.2.1.1 US holds largest share of collaborative robot market in North America
10.2.2 CANADA
10.2.2.1 Increased foreign investments in automotive sector will drive the collaborative robot market
10.2.3 MEXICO
10.2.3.1 Collaborative robot market in Mexico expected to witness highest CAGR in the region
10.3 EUROPE
FIGURE 48 EUROPE: COLLABORATIVE ROBOT MARKET SNAPSHOT
TABLE 160 MARKET IN EUROPE, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 161 MARKET IN EUROPE, BY COUNTRY, 2021–2027 (USD MILLION)
TABLE 162 MARKET IN EUROPE, BY COUNTRY, 2017–2020 (UNITS)
TABLE 163 MARKET IN EUROPE, BY COUNTRY, 2021–2027 (UNITS)
TABLE 164 COLLABORATIVE ROBOT MARKER IN EUROPE, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 165 COLLABORATIVE ROBOT MARKER IN EUROPE, BY INDUSTRY, 2021–2027 (USD MILLION)
10.3.1 GERMANY
10.3.1.1 Germany houses several collaborative robot manufacturers
10.3.2 ITALY
10.3.2.1 COMAU (Italy) offers collaborative robots with highest payload capacity
10.3.3 SPAIN
10.3.3.1 Spain to witness high growth for collaborative robots due to adoption of automation in manufacturing industries
10.3.4 FRANCE
10.3.4.1 Increasing deployment of collaborative robots to increase competitiveness is expected to drive market in France
10.3.5 UK
10.3.5.1 Investments in R&D for reviving automotive industry in UK offers high growth potential
10.3.6 REST OF EUROPE
10.4 APAC
FIGURE 49 APAC: COLLABORATIVE ROBOT MARKET SNAPSHOT
TABLE 166 MARKET IN APAC, BY COUNTRY, 2017–2020 (USD MILLION)
TABLE 167 MARKET IN APAC, BY COUNTRY, 2021–2027 (USD MILLION)
TABLE 168 MARKET IN APAC, BY COUNTRY, 2017–2020 (UNITS)
TABLE 169 MARKET IN APAC, BY COUNTRY, 2021–2027 (UNITS)
TABLE 170 MARKET IN APAC, BY INDUSTRY, 2017–2020 (USD MILLION)
TABLE 171 MARKET IN APAC, BY INDUSTRY, 2021–2027 (USD MILLION)
10.4.1 CHINA
10.4.1.1 China accounted for largest share of collaborative robot market in APAC in 2020
10.4.2 SOUTH KOREA
10.4.2.1 South Korea has significant number of cobots deployed in automotive and electronics industries
10.4.3 JAPAN
10.4.3.1 Japan held the second-largest share of collaborative robot market in APAC in 2020
10.4.4 TAIWAN
10.4.4.1 Taiwan to register highest growth in terms of adoption of collaborative robots during the forecast period
10.4.5 THAILAND
10.4.5.1 Thailand 4.0 initiative expected to drive market for cobots during forecast period
10.4.6 INDIA
10.4.6.1 India presents a huge market potential for deployment of cobots
10.4.7 REST OF APAC
10.5 ROW
FIGURE 50 ROW: COLLABORATIVE ROBOT MARKET SNAPSHOT
TABLE 172 MARKET IN ROW, BY REGION, 2017–2020 (USD MILLION)
FIGURE 51 MIDDLE EAST & AFRICA TO HOLD LARGEST SHARE OF COLLABORATIVE ROBOT MARKET THROUGHOUT FORECAST PERIOD
TABLE 173 MARKET IN ROW, BY REGION, 2021–2027 (USD MILLION)
TABLE 174 MARKET IN ROW, BY REGION, 2017–2020 (UNITS)
TABLE 175 MARKET IN ROW, BY REGION, 2021–2027 (UNITS)
TABLE 176 MARKET IN ROW, BY INDUSTRY, 2017–2020 (USD THOUSAND)
TABLE 177 COLLABORATIVE ROBOT MARKET IN ROW, BY INDUSTRY, 2021–2027 (USD THOUSAND)
10.5.1 MIDDLE EAST & AFRICA
10.5.1.1 Middle East has growing number of complete knock down and spare parts manufacturing facilities for automotive
10.5.2 SOUTH AMERICA
10.5.2.1 South America to witness high growth in adoption of collaborative robots during the forecast period
10.6 COVID-19 IMPACT ON COLLABORATIVE ROBOT MARKET IN VARIOUS REGIONS
10.6.1 MOST IMPACTED REGION
FIGURE 52 IMPACT OF COVID-19 ON COLLABORATIVE ROBOT MARKET IN EUROPE
nbsp; 10.6.2 LEAST IMPACTED REGION
FIGURE 53 IMPACT OF COVID-19 ON COLLABORATIVE ROBOT MARKET IN NORTH AMERICA
11 HUMAN-ROBOT COLLABORATIVE OPERATIONAL ENVIRONMENT (QUALITATIVE) (Page No. - 241)
11.1 INTRODUCTION
11.2 SAFETY-RATED MONITORED STOP
11.3 HAND GUIDING
11.4 SPEED REDUCTION AND SEPARATION MONITORING
11.5 POWER AND FORCE LIMITING
12 INTEGRATION OF COBOTS AND IOT (QUALITATIVE) (Page No. - 243)
12.1 INTRODUCTION
12.2 CONNECTIVITY TECHNOLOGY
12.2.1 ETHERNET
12.2.2 WI-FI
12.2.3 BLUETOOTH
12.2.4 CELLULAR
12.2.4.1 4G connectivity
12.2.4.2 5G connectivity
12.3 INTEROPERABILITY SOFTWARE
13 COMPETITIVE LANDSCAPE (Page No. - 247)
13.1 OVERVIEW
13.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
TABLE 178 OVERVIEW OF STRATEGIES DEPLOYED BY COLLABORATIVE ROBOT COMPANIES
13.2.1 PRODUCT PORTFOLIO
13.2.2 REGIONAL FOCUS
13.2.3 MANUFACTURING FOOTPRINT
13.2.4 ORGANIC/INORGANIC PLAY
13.3 MARKET SHARE ANALYSIS, 2020
TABLE 179 DEGREE OF COMPETITION, COLLABORATIVE ROBOT MARKET (2020)
13.4 5-YEAR COMPANY REVENUE ANALYSIS
FIGURE 54 5-YEAR REVENUE ANALYSIS OF TOP 5 PLAYERS IN COLLABORATIVE ROBOT MARKET
13.5 COMPANY EVALUATION QUADRANT
13.5.1 STAR
13.5.2 EMERGING LEADER
13.5.3 PERVASIVE
13.5.4 PARTICIPANT
FIGURE 55 COLLABORATIVE ROBOT MARKET (GLOBAL), COMPANY EVALUATION QUADRANT (2020)
13.6 START-UP/SME EVALUATION MATRIX
TABLE 180 STARTUPS/SMES IN COLLABORATIVE ROBOTS MARKET
13.6.1 PROGRESSIVE COMPANIES
13.6.2 RESPONSIVE COMPANIES
13.6.3 DYNAMIC COMPANIES
13.6.4 STARTING BLOCKS
FIGURE 56 COLLABORATIVE ROBOT MARKET, STARTUP/SME EVALUATION MATRIX, 2020
13.7 COMPANY PRODUCT FOOTPRINT
TABLE 181 COMPANY FOOTPRINT
TABLE 182 COMPANY PAYLOAD FOOTPRINT
TABLE 183 COMPANY INDUSTRY FOOTPRINT
TABLE 184 COMPANY REGION FOOTPRINT
13.8 COMPETITIVE SITUATION AND TRENDS
13.8.1 PRODUCT LAUNCHES
TABLE 185 PRODUCT LAUNCHES, JANUARY 2020–OCTOBER 2020
13.8.2 DEALS
TABLE 186 DEALS, SEPTEMBER 2020–DECEMBER 2020
13.8.3 OTHERS
TABLE 187 EXPANSION, OCTOBER 2019–OCTOBER 2020
14 COMPANY PROFILES (Page No. - 265)
(Business Overview, Products Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*
14.1 KEY PLAYERS
14.1.1 UNIVERSAL ROBOTS
TABLE 188 UNIVERSAL ROBOTS: BUSINESS OVERVIEW
14.1.2 FANUC
TABLE 189 FANUC: BUSINESS OVERVIEW
FIGURE 57 FANUC: COMPANY SNAPSHOT
14.1.3 ABB
TABLE 190 ABB: BUSINESS OVERVIEW
FIGURE 58 ABB: COMPANY SNAPSHOT
14.1.4 TECHMAN ROBOT
TABLE 191 TECHMAN ROBOT: BUSINESS OVERVIEW
14.1.5 KUKA
TABLE 192 KUKA: BUSINESS OVERVIEW
FIGURE 59 KUKA: COMPANY SNAPSHOT
14.1.6 DOOSAN ROBOTICS
TABLE 193 DOOSAN ROBOTICS: BUSINESS OVERVIEW
14.1.7 DENSO
TABLE 194 DENSO: BUSINESS OVERVIEW
FIGURE 60 DENSO: COMPANY SNAPSHOT
14.1.8 YASKAWA
TABLE 195 YASKAWA: BUSINESS OVERVIEW
FIGURE 61 YASKAWA: COMPANY SNAPSHOT
14.1.9 PRECISE AUTOMATION
TABLE 196 PRECISE AUTOMATION: BUSINESS OVERVIEW
14.1.10 RETHINK ROBOTICS
TABLE 197 RETHINK ROBOTICS: BUSINESS OVERVIEW
14.2 OTHER KEY PLAYERS
14.2.1 MABI ROBOTIC
14.2.2 FRANKA EMIKA
14.2.3 COMAU
14.2.4 F&P ROBOTICS
14.2.5 STÄUBLI
14.2.6 BOSCH REXROTH
14.2.7 PRODUCTIVE ROBOTICS
14.2.8 WYZO
14.2.9 NEURA ROBOTICS
14.2.10 ELEPHANT ROBOTICS
14.2.11 ELITE ROBOT
14.2.12 KASSOW ROBOTS
14.2.13 SIASUN
14.2.14 MIP ROBOTICS
14.2.15 HANWHA CORPORATION
*Details on Business Overview, Products Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.
15 APPENDIX (Page No. - 321)
15.1 DISCUSSION GUIDE
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 AVAILABLE CUSTOMIZATIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS
The study involved four major activities in estimating the size for collaborative robot market. Exhaustive secondary research was done to collect information on the market, peer market, and parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across value chains through primary research. The bottom-up approach was employed to estimate the overall market size. After that, market breakdown and data triangulation were used to estimate the market size of segments and subsegments.
Secondary Research
In the secondary research process, various secondary sources were referred to for identifying and collecting information pertinent to this study. Secondary sources include annual reports; press releases; investor presentations; white papers; journals and certified publications; and articles from recognized authors, directories, and databases. Secondary research was conducted to obtain key information about the industry’s supply chain, value chain, total pool of key players, market segmentation according to the industry trends (to the bottommost level), geographic markets, and key developments from both market- and technology-oriented perspectives.
After the complete market engineering (which includes calculations for market statistics, market breakdown, data triangulation, market size estimations, and market forecasting), extensive primary research was carried out to gather information, as well as to verify and validate the critical numbers arrived at.
Primary research was also conducted to identify the segmentation types; key players; competitive landscape; and key market dynamics such as drivers, restraints, opportunities, challenges, and industry trends, along with key strategies adopted by players operating in the collaborative robot market. Extensive qualitative and quantitative analyses were performed on the complete market engineering process to list the key information and insights throughout the report.
Secondary sources used for this research study include government sources, corporate filings (such as annual reports, investor presentations, and financial statements), and trade, business, and professional associations. The secondary data was collected and analyzed to arrive at the overall market size, which was further validated through primary research.
Primary Research
Extensive primary research has been conducted after gaining knowledge about the collaborative robot market scenario through secondary research. Several primary interviews have been conducted with market experts from both demand (end-use industries) and supply (equipment manufacturers, integrators, and distributors) sides across four major regions—North America, Europe, APAC, and RoW. Approximately 20% and 80% of primary interviews were conducted with parties from the demand side and supply side, respectively. Primary data has been collected through questionnaires, emails, and telephonic interviews.
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
In the complete engineering process, both top-down and bottom-up approaches, along with several data triangulation methods, have been used to estimate and validate the size of the collaborative robot market. Key players in the market have been determined through primary and secondary research. This entire research methodology involves the study of the annual and financial reports of top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) about the collaborative robot market.
All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All the possible parameters that affect the market segments covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data has been consolidated and supplemented with detailed inputs and analysis from MarketsandMarkets and presented in the report.
Collaborative Robot Market: Bottom-Up Approach
To know about the assumptions considered for the study, Request for Free Sample Report
Data Triangulation
After arriving at the overall market size from the estimation process explained above, the total market has been split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments, data triangulation and market breakdown procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The market has also been validated using both top-down and bottom-up approaches.
Report Objectives
- To describe and forecast the collaborative robot market by payload, component, application, and industry, in terms of value and volume
- To describe and forecast the market for four main regions: North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW), in terms of value and volume
- To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the market
- To provide a detailed overview of the supply chain pertaining to the ecosystem of the market
- To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
- To analyze opportunities in the market for various stakeholders by identifying high-growth segments
- To benchmark players within the market using the proprietary Competitive Leadership Mapping framework, which analyzes market players using various parameters within the broad categories of business and product strategy
- To strategically profile key players and comprehensively analyze their market position in terms of ranking and core competencies, along with detailing the competitive landscape for market leaders
- To analyze competitive developments such as acquisitions, product launches and developments, and research and development in the market
Human–Robot Collaborative Operational Environment (Qualitative Chapter)
Integration of Cobots and IoT (Qualitative Chapter)
Available Customizations
With the given market data, MarketsandMarkets offers customizations according to the company’s specific needs. The following customization options are available for the report:
Product Analysis
- Product matrix that gives a detailed comparison of the product portfolio of each company
Company Information
- Detailed analysis and profiling of additional market players (up to 5)
Get in-depth analysis of the COVID-19 impact on the Collaborative Robot Market
Benchmarking the rapid strategy shifts of the Top 100 companies in the Collaborative Robot Market
Request For Special Pricing
- Triangulate with your Own Data
- Get Data as per your Format and Definition
- Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
- Any level of Personalization
- What are the Known and Unknown Adjacencies Impacting the Collaborative Robot Market
- What will your New Revenue Sources be?
- Who will be your Top Customer; what will make them switch?
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Growth opportunities and latent adjacency in Collaborative Robot Market
I would like to know more about COVID 19 impact on Cobots Industry.
I would like to know more about COVID 19 impact on Cobots Industry.
We are trying to identify the ideal collaborative robot for a material handling task for one of our clients. Can this report address our concern?
I'm evaluating collaborative robot market for our company's new business area. So, I want to know the each region's market size and upcoming applications in detail.
We are looking for report focusing on Mexican collaborative robot market (overall and by industry) and after-market services of collaborative robots. Could you please quickly provide estimated fees and timeline for delivery?
I teach a course titled "Technology, Innovation and Future of Work". It is a graduate level course in our Business School (elective course of Operations Management Area). Robots and Cobots in manufacturing is a module of the course. Your report will be useful in explaining the significance of cobots/robots in manufacturing. So, can you help me with a sample and few more insights on this?
I'm looking to refer this study for understanding the growth opportunities specifically in machine tending and processing applications. The insights obtained will have a direct impact on our upcoming R&D investments for product development.
Dear MarketsandMarkets, I am writing my PhD thesis about the collaborative robots, I would like to use your research result in the introduction chapter (main players, forecast in the future). Of course keeping the correct citation and reference rules. Please share your research with me.
We are a venture capital firm and are trying to understand the state of the art in AI for cobot vision, task definition, error handling etc. Further, insights on the new entrants with AI integrated vision products offered in the market would help us in making investment decisions.
hey guys, I'm working on an Augmented reality startup and we had the idea to enable robot collaboration with Augmented Reality glasses. Unfortunately we're bootstrapping (out of University) and cannot afford to buy a report in this price range. However it would be great to find a few more information about this arising industry.
We are looking to get into the business of collaborative robots as our clients face a big challenge to configure Industrial Robots. Does this cover the aspect of better RoI owing to adoption of collaborative robots compared to industrial robots?
I am working on a project in industrial automation focusing on collaborative robots. My immediate task is a market sizing exercise. Hence would need insights on annual shipment and selling prices for various companies.
Investigating the availability and capability of Collaborative Robots for applications in Body Shops in Automotive Assembly Plants, especially for assisting manual installations and assembly processes.
I intend to use the report for academic purpose, namely for the theoretical introduction of my master thesis. Can I get some insight about the collaborative robot market? I would cite your report as a part of references.
I'm a New-York-based journalist working with a new science and technology magazine being launched this spring. I'm writing a piece about the rise of cobots, and would love to talk to one of your analysts about the report "Collaborative Robot Market worth $12,303 million by 2025", and quote them in this piece. Would someone be free to talk with me? If so, let me know a good time and we'll do it!
Hi, I would request for a free sample report as I need to validate the collaborative robot market data for one of my clients. If found satisfactory, the client will buy it for sure.
As I´m preparing a report about collaborative robots market developments, I would like to use some of the figures in your report. Can you help me with this?
I have recently joined a renowned robotics institute, and I am trying to get a perspective and an estimate of market sizes of various end use industries such as automotive, electronics, and food. Can you share a document with me for the same?
My thesis for my EMBA is based on the cobot market. Would be great to be able to use some of the research in this report.
I have been approached by a company that wants to hire me to sell Collaborative Robots. I am investigating the market before I make a decision.
I would like to check the collaborative robot market status and growth etc. as my company is preparing new 5G smart factory product.
I'm writing an article on cobots in Pharma labs (R&D and QC). Would you like to comment on data/trends/uses? Deadline Dec. 24.
I'm currently writing my thesis for bachelor in business and economics, where I'm analyzing the impact of the future technological advancements on the collaborative robot market and how is it going to affect the SMEs (small medium enterprises) worldwide. Therefore this forecast would be very valuable to me.
We are a robot drive manufacturing company and our specific interest lies in collaborative robot market for above 10 kg and their respective applications interlinked with regional analysis.
Dear Sir or Madam, I am a student at an University and writing my dissertation about collaborative robots. Therefore, I would like to ask you if it is possible to send me any information regarding the price forecast for collaborative robots? If so, it would be great and I would be very grateful since I am not able to buy your report due to my financial situation. However, I am really interested in Cobots.
I'm a course designer at an university for the subject 'industrial automation'. I am thinking of including some content on collaborative robots in our curriculum and hence would like to understand the role of collaborative robots in industrial automation. Few use cases also might be helpful.
Does the report cover information on, how you categorize revenues for different application types? Additionally, testing doesn’t seem to be that large last year. I will purchase the report if you can provide some insights specifically around this application – waiting for your reply and if you think the question can be answered I will purchase soon. High priority, urgent purchase requirement, I can specifically visit your premises post confirmation as I am currently working on a project in Pune.
I'd like to get an idea on how have you incorporated impact of future technology trends for forecasting collaborative robots market.