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Collaborative Robots Market Outlook (2023 to 2033)

The global collaborative robots demand is subjected to register a CAGR of 25.1%. The market revenue is likely to be valued at US$ 2.2 billion in 2023 and exhibit a revenue growth of US$ 20.5 billion by 2033.

Global Trends & Scopes Transforming the Collaborative Robots Market

SMEs are looking for automation to help them accomplish more with less and grow their operations in the face of manpower shortages, disruptive technology, and new commercial demands. SME automation allows businesses to remove time-consuming, repetitive, and possibly dangerous manual procedures, improve quality, and take on more work without incurring additional labor expenditures.

Collaborative robots (cobots) can assist industrial SMEs in introducing automated welding at a lower cost and providing an efficient approach to upskilling teams. OEM and automation integrator collaborative robot solutions combine dependable robot arms with a lightweight, simple-to-install control box. They are perfect for integrators, machine builders, and end users who require the control box to be integrated into the main control panel.

The e-Series cobots, developed by a certain market participant, are equipped with straightforward programming, diverse use, and an almost infinite list of addon possibilities. Regardless of your sector, business size, or product type, the e-Series may supplement production. This cobot was created with the future in mind, and it is intended to develop capabilities with enterprises. It takes on new jobs and discovers new applications so that the end user may constantly remain ahead of their competitors.

A type of intelligent product is another significant company's series of collaborative robots. It is designed for the visual guidance needed by the arm in an industrial automation situation. The device uses the arm as its core and combines a unique vision controller, special vision software, an industrial camera, and a light source module to allow users for completing vision hardware configuration quickly on-site. It also meets the arm's visual guidance needs in a variety of complex settings.

Key players have been creating robots for 50 years, with the primary goal of enhancing the productivity of their own vehicle component production operations. Key players have just unveiled a new collaborative robot that is human-friendly, tiny, and portable.

As the lifecycles of medical and cosmetic products shorten, collaborative automation improves production agility. Key players' robot arms may be employed to increase productivity and maintain constant quality before being easily redeployed for new product lines. Throughout the business, cobots are used to maintain machines and conveyors, accurately assemble gadgets and goods, and prepare and package things into blister packs, cartons, or pallets.

Attributes Details
Collaborative Robots Market HCAGR (2017 to 2022) 31.9%
Collaborative Robots Market CAGR (2023 to 2033) 25.1%
Market Size for Collaborative Robots (2023) US$ 2.2 billion
Market Size for Collaborative Robots (2033) US$ 20.5 billion

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Historical Outlook versus Future Projections for the Collaborative Robots Market

In the global market, collaborative robot sales recorded stellar growth of 50.4% CAGR from the period 2014 to 2021. This market is anticipated to record a 26% CAGR rate from 2022 to 2029 according to FMI. There is an increase in the use of these robots for several industrial applications including material handling, inspection, and assembly/disassembly due to the attribute. Furthermore, there are a few other factors anticipated to fuel the demand for collaborative robot sales such as the increasing investments in assembly automation and the growing adoption from both small and medium enterprises. The market revenue is estimated to grow to US$ 20.5 billion by 2033.

Comparative Analysis of Adjacent Markets

Collaborative Robots Market:

Attributes Collaborative Robots Market
CAGR (2023 to 2033) 25.1%
Market Value (2033) US$ 20.5 billion
Growth Factor Even in traditional low-cost carrier (LCC) economies, rising labor costs are prompting manufacturers to invest in innovative automation technology.
Opportunity The global expansion of internet access and other technological advancements such as 5G, IoT, AI, and so on may provide market opportunities.
Restraints A lack of highly qualified labor capable of directing robots and comprehending robotic operations may stymie industry expansion.

Robot Operating System Market:

Attributes Robot Operating System Market
CAGR (2023 to 2033) 5.5%
Market Value (2033) US$ 484.3 million
Growth Factor Increased acceptance of automobiles in numerous sectors, as well as increased adoption of ROS by manufacturers, are driving the market.
Opportunity The increased financing for industry automation research and development, coupled with the growing usage of modular robots, may offer market prospects.
Restraints The initial setup cost for a robot is significant, which may limit the market expansion. Including, the high installation costs of low-volume industrial applications.

Robotic Vision Market:

Attributes Robotic Vision Market
CAGR (2023 to 2033) 9.5%
Market Value (2033) US$ 6.6 billion
Growth Factor Increased demand for intelligent homes, government sanitary rules in the food processing industry, and a growing need for dependable vision-guided robots.
Opportunity Growing customized demand increased labor shortages, and cost concerns are expected to provide market possibilities.
Restraints Some of the biggest constraints for the robot vision market include expensive initial investment and a lack of global standards for robotic deployment.
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High Initial Costs & Other Restraints with Market Opportunities

The high initial expenses of robots preclude most businesses from fully automating their processes using robots. The average selling price of a cobot ranges from US$ 25,000 to US$ 50,000, not including installation charges. Furthermore, there is a training expense connected with the robots, which limits the operators' willingness to integrate robots into their operating lines. The robotics market is hampered by the slow adoption of collaborative robotic systems by small and medium-sized businesses. High labor expenses, on the other hand, are expected to fuel the collaborative robot market throughout the projection period.

Robots are being used by numerous manufacturing activities around the area as technology progresses and applications become broader and adaptable. Collaborated robotics for automotive applications has seen a significant increase in recent years, owing to the growth of automotive plants in prominent economies of Asia Pacific such as China, India, and Vietnam, as well as increased demand for automotive robots from automakers in North America. Several famous automakers have deployed cobots on their manufacturing floors to do a variety of tasks such as welding, automobile painting, and assembly line operations.

Country-wise Analysis:

Country United States
CAGR (2023 to 2033) 18.5%
HCAGR (2017 to 2022) 28.9%
Country Germany
CAGR (2023 to 2033) 23.3%
HCAGR (2017 to 2022) 25.5%
Country China
CAGR (2023 to 2033) 28.8%
HCAGR (2017 to 2022) 40.4%
Country Japan
CAGR (2023 to 2033) 18.7%
HCAGR (2017 to 2022) 26.3%
Country South Korea
CAGR (2023 to 2033) 19%
HCAGR (2017 to 2022) 32.1%

Intelligent Factories - A Concept in the United States to Increase Product Enhancement and Improved Human-robot Interaction

Attributes Details
United States Market Size (2033) US$ 1.4 billion
United States Market Absolute Dollar Growth (US$ million/billion) US$ 1.2 billion

The United States accounts for 18.5% of overall sales in North America, making it a substantial collaborative robots market. The collaborative robots market in the United States is expected to reach a high of US$ 1.4 billion. Material handling is expected to account for the bulk of the global collaborative robot market because of its widespread adoption in a variety of end-use industries. Demand for high-speed and accurate work, for instance, is met by collaborative robots, which benefits the electronics and semiconductors industries on a huge scale.

Companies of all sizes are using industrial collaborative robots, or cobots, in their operations to alleviate labor difficulties, enhance productivity, and improve quality. A particular market player's OB7 collaborative robots are the simplest and most adaptable cobots for automating thousands of industrial production jobs across all sectors. Key automotive manufacturers have suggested intelligent factories, with the goal of increasing production flexibility through improved human-robot interaction.

Material handling cobots' skills are being enhanced by technological breakthroughs. Not only may human employees collaborate with material-handling cobots, but emerging exoskeleton technologies allow them to be worn by human workers. Humans wear full-body exoskeletons, which are designed to carry high weights of up to 200 pounds, to give additional strength and endurance for repetitive operations involving heavy equipment or components.

German Facilities Deploying Collaborative Robots owing to Advancements in Sensors & Programming!

Attributes Details
Germany Market Size (2033) US$ 1.5 billion
Germany Market Absolute Dollar Growth (US$ million/billion) US$ 1.3 billion

Germany is a strong market, with a forecasted value of US$ 1.5 billion and a revenue growth rate of 23.3% during the projection period. Cobots are precise, accurate, and dependable in Germany. The operating radius, weight, and floor area of the various versions vary. Therefore, they may be easily tailored to the specific application needs. Furthermore, they are simple to combine with other equipment, signifying a significant step toward developing an intelligent industrial environment in which humans and robots coexist.

Advances in digitalization and automation are expected to revolutionize welding manufacturing methods in the future. Welding using collaborative robots may relieve valued professionals of arduous regular and repetitive operations, especially when manually welding conventional sheet metal components. Moreover, project-specific gadgets are no longer required. A cobot, for instance, is employed as a universal assembly machine in German facilities, with a manually changing selection of tools such as vacuum grippers, potting dispensers, laminating rollers, or test stamps. The key benefit is that change-over periods for different customer-specific goods are incredibly quick.

Due to the advancements in sensors and programming, collaborative robot arms are becoming helpful for a variety of applications. In 2019, Han's Robot Germany GmbH, which branched out from Shenzhen Han's Robot Co., claimed to have built the world's first commercially viable cognitive robot. Han's Robot Germany's team, comprised of members of the Fraunhofer Association, the German Artificial Intelligence Research Center, and Hamburg Technical University, planned to complete the robot by 2020.

Prominent Market for Collaborative Robots: China’s Ministry of Sector & Information Technology Unveiled a 5-year Robotics Strategy

Attributes Details
China Market Size (2033) US$ 11.9 billion
China Market Absolute Dollar Growth (US$ million/billion) US$ 10.9 billion

Asia Pacific is an economic powerhouse for the collaborative robots market, with key corporations in China and South Korea. With a revenue share of 28.8%, China dominates and profits from the collaborative robots market. The market for collaborative robots in China is anticipated to be worth US$ 11.9 billion. According to Interact Analysis, China's market share by shipments climbed by around 49.1% in 2021 and is predicted to augment to a stunning 54.4% in 2026. (At which point annual unit shipments may exceed 50,000).

The government intends to increase the number of robots in China. In December 2021, China's Ministry of Sector and Information Technology unveiled a five-year robotics strategy that intended for the country's robot industry to develop at a 20 percent yearly pace from 2021 to 2025. For the past eight years, China has been the world's dominant market for industrial robots. According to Wang Weiming, a ministry official, China intends to treble its manufacturing robot density by 2025.

China is strategically positioned to gain from cobots. Despite the fact that international robot manufacturers are well-entrenched and projected to maintain their market position, the cobot market is more level. With China's market leadership in AI, Chinese companies are well-positioned to dominate the domestic smart cobot industry in the next few years. According to analysts, the cobot supply chain/ecosystem is evolving considerably faster than other locations.

Making their products adaptable for new application situations is a significant emphasis for Chinese cobot companies right now. They are now experiencing a significant increase in collaborative robot utilization in the medical, education, logistics, and catering industries.

South Korea Market Players Aim to Expand Various Small and Mid-sized Robot Manufacturers

Attributes Details
South Korea Market Size (2033) US$ 1.2 billion
South Korea Market Absolute Dollar Growth (US$ million/billion) US$ 964.2 million

South Korea is a wildly profitable collaborative robots market, with a revenue growth rate of 19% and a projected value of US$ 1.2 billion throughout the forecast period. In December 2018, a market participant constructed production facilities with an annual capacity of 20,000 units in Suwon, South Korea. The corporation is also extending its operations in China. Moreover, businesses are currently working on AI-powered collaborative robots. These can recognize speech and do clever picture analysis.

The South Korean government has resolved to increase the size of manufacturing in the domestic robot sector. Additionally, they are working hard to expand the various small and mid-sized robot manufacturers with sales of more than 50 billion (US$ 45.93 million). To that goal, industry, academic, and research organizations are expected to work together to develop a plan to improve the robot industry. They have actively marketed the collaborative robot sector, which is commonly utilized in manufacturing. Moreover, they devised a medium and long-term development strategy to ensure competitiveness in essential robot components.

To establish the AI platform for robots, telecom firms, robot manufacturers, and research institutes are expected to form a committee for artificial intelligence (AI)-robot application and industrialization. According to several industry analysts, South Korea needs to enhance its robot industrial basis by revitalizing the market for collaborative robots and potential service robots. They can accomplish this by focusing on crucial part supply and proactively upgrading linked processes.

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Newbies are Catching Up with Key Players with Innovative Strategies: Start-up Economy

Start-up companies are participating in robotics technology alongside key industry players to contribute to the global collaborative robots market growth:

  • Ready Robotics - It is a manufacturer of collaborative robots as well as an operating system for controlling them. Its portfolio includes TaskMate, a modular, plug-and-play robotic arm coupled to a mobile base that can be moved about the plant and used to automate risky and repetitive activities. It can also save jobs for later and distribute them in minutes thanks to its own translation mechanism. The firm also provides an operating system that allows the user to operate the robot by chaining construction pieces together into flowcharts. Furthermore, it provides robots as a service, allowing firms to rapidly integrate and deploy a robotic automation system into production for a low monthly price.
  • Yang Tian Technology - It provides collaborative robotic products for industrial use. It offers a line of collaborative robots that claim to have a 6-DOF robot 6 modular structure design, combining hollow series arms and internal wiring to build light modular robots. It can be utilized in electronics, food, equipment, medicine, the military, automotive, and other sectors for handling, assembling, polishing, coating, monitoring, and screwing. In addition, the business offers a line of 5DoF parallel robots for material handling in industries.
  • ISYBOT - It develops collaborative robots for industrial purposes. The company has developed robots with three servo axes, a payload capacity, and a range of motion. The robot operates in four modes: help, restitution, parallelization, and teleoperation. The firm also offers the opportunity to hire robots for four to twelve months. Applications include material handling and project completion.

Key Companies Revamping the Collaborative Robots Market Space

Due to the engagement of multiple established competitors, the collaborative robots market share is very competitive. Firms in the collaborative modular robotics industry frequently employ organic development strategies such as product releases and approvals. Market companies are focusing on expanding their presence through acquisitions, expansions, product approvals, and launches in order to leverage market growth potential.

Latest Developments:

  • In December 2020, to make programming its single-arm YuMi cobot easier, ABB Ltd. launched "Wizard Easy Programming," a block-based programming interface. The business also stated that it intends to make its cobots easier to set up for individuals who do not know how to program, thereby lowering the entry barrier.
  • In March 2020, Universal Robots debuted UR+ application kits at MODEX 2020 to make Cobot deployment easier for small, medium, and large organizations, as well as unique solutions that highlighted the usage of cobots to automate difficult-to-staff processes such as palletizing and piece-picking.
  • In August 2020, in India, Mitsubishi Electric Corporation introduced the MELFA ASSISTA line of collaborative robots. They have safety features including collision detection and rigorously adhere to the international safety and robotic standards ISO 10218-1 and ISO/TS15066. Following a successful global launch, the business offered these collaborative robots to the Indian market in order to gain a competitive advantage in the Indian industrial sector.

Top Market Players of the Collaborative Robots Market

  • Universal Robots A/S
  • AUBO Robotics
  • Fanuc Corporation
  • Stäubli International AG
  • Robert Bosch GmbH
  • KUKA AG
  • Precise Automation Inc.
  • Denso Wave Incorporated
  • ABB Group
  • Yaskawa Electric Corporation
  • K2 Kinetics

Key Segments Profiled in the Collaborative Robots Market Survey

By Payload Capacity:

  • Up to 5kg
  • 5 to 10 kg
  • Above 10 kg

By Application:

  • Welding
  • Material Handling
  • Quality Testing/Inspection
  • General Assembly
  • Painting/Spraying
  • Others

By End Use:

  • Automotive & Transportation
  • Electronics & Semiconductors
  • Food & Beverage
  • Chemical & Pharmaceutical
  • Logistics
  • Healthcare
  • Others

By Region:

  • North America
  • Latin America
  • Asia Pacific
  • Middle East & Africa (MEA)
  • Europe

Frequently Asked Questions

What is the market's growth CAGR?

Through 2033, the market anticipates to continue to develop at a CAGR of 25.1%.

How big may the market will be in 2033?

By 2033, the market is projected to flourish to a value of US$ 20.5 billion.

What is the size on the market currently?

In 2023, the market is projected to be worth US$ 2.2 billion.

How did the market thrive in the past?

Between 2018 and 2022, sales significantly increased with an HCAGR of 50.4%.

What is the United States market's growth outlook?

Through 2033, the United States is projected to evolve at a CAGR of 18.5%.

Table of Content

1. Executive Summary | Collaborative Robots Market

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Product Life Cycle Analysis

    3.5. Supply Chain Analysis

        3.5.1. Supply Side Participants and their Roles

            3.5.1.1. Producers

            3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers)

            3.5.1.3. Wholesalers and Distributors

        3.5.2. Value Added and Value Created at Node in the Supply Chain

        3.5.3. List of Raw Material Suppliers

        3.5.4. List of Existing and Potential Buyers

    3.6. Investment Feasibility Matrix

    3.7. Value Chain Analysis

        3.7.1. Profit Margin Analysis

        3.7.2. Wholesalers and Distributors

        3.7.3. Retailers

    3.8. PESTLE and Porter’s Analysis

    3.9. Regulatory Landscape

        3.9.1. By Key Regions

        3.9.2. By Key Countries

    3.10. Regional Parent Market Outlook

    3.11. Production and Consumption Statistics

    3.12. Import and Export Statistics

4. Global Analysis 2017 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) & Volume (Units) Analysis, 2017 to 2022

    4.2. Current and Future Market Size Value (US$ Million) & Volume (Units) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Payload Capacity

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Payload Capacity, 2017 to 2022

    5.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Payload Capacity, 2023 to 2033

        5.3.1. Up to 5 Kg

        5.3.2. 5 Kg to 10 Kg

        5.3.3. Above 10 Kg

    5.4. Y-o-Y Growth Trend Analysis By Payload Capacity, 2017 to 2022

    5.5. Absolute $ Opportunity Analysis By Payload Capacity, 2023 to 2033

6. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Application

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Application, 2017 to 2022

    6.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Application, 2023 to 2033

        6.3.1. Welding

        6.3.2. Material Handling

        6.3.3. Quality Testing/Inspection

        6.3.4. General Assembly

        6.3.5. Painting/Spraying

        6.3.6. Other Application

    6.4. Y-o-Y Growth Trend Analysis By Application, 2017 to 2022

    6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033

7. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By End Use

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By End Use, 2017 to 2022

    7.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By End Use, 2023 to 2033

        7.3.1. Automotive & Transportation

        7.3.2. Electronics & Semiconductors

        7.3.3. Food & Beverage

        7.3.4. Chemical & Pharmaceutical

        7.3.5. Logistics

        7.3.6. Healthcare

        7.3.7. Other End Use

    7.4. Y-o-Y Growth Trend Analysis By End Use, 2017 to 2022

    7.5. Absolute $ Opportunity Analysis By End Use, 2023 to 2033

8. Global Analysis 2017 to 2022 and Forecast 2023 to 2033, By Region

    8.1. Introduction

    8.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Region, 2017 to 2022

    8.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033

        8.3.1. Americas

        8.3.2. EMEA

        8.3.3. South Asia & Pacific

        8.3.4. East Asia

    8.4. Market Attractiveness Analysis By Region

9. Americas Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country

    9.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022

    9.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033

        9.2.1. By Country

            9.2.1.1. USA

            9.2.1.2. Canada

            9.2.1.3. Mexico

            9.2.1.4. Rest of Americas

        9.2.2. By Payload Capacity

        9.2.3. By Application

        9.2.4. By End Use

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Payload Capacity

        9.3.3. By Application

        9.3.4. By End Use

    9.4. Key Takeaways

10. EMEA Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022

    10.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. Germany

            10.2.1.2. Italy

            10.2.1.3. France

            10.2.1.4. Eastern Europe

            10.2.1.5. Africa

            10.2.1.6. Rest of EMEA

        10.2.2. By Payload Capacity

        10.2.3. By Application

        10.2.4. By End Use

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Payload Capacity

        10.3.3. By Application

        10.3.4. By End Use

    10.4. Key Takeaways

11. South Asia & Pacific Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022

    11.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. India

            11.2.1.2. ASEAN

            11.2.1.3. Oceania

            11.2.1.4. Rest of South Asia & Pacific

        11.2.2. By Payload Capacity

        11.2.3. By Application

        11.2.4. By End Use

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Payload Capacity

        11.3.3. By Application

        11.3.4. By End Use

    11.4. Key Takeaways

12. East Asia Analysis 2017 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2017 to 2022

    12.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. China

            12.2.1.2. Japan

            12.2.1.3. South Korea

        12.2.2. By Payload Capacity

        12.2.3. By Application

        12.2.4. By End Use

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Payload Capacity

        12.3.3. By Application

        12.3.4. By End Use

    12.4. Key Takeaways

13. Key Countries Analysis

    13.1. USA

        13.1.1. Pricing Analysis

        13.1.2. Market Share Analysis, 2022

            13.1.2.1. By Payload Capacity

            13.1.2.2. By Application

            13.1.2.3. By End Use

    13.2. Canada

        13.2.1. Pricing Analysis

        13.2.2. Market Share Analysis, 2022

            13.2.2.1. By Payload Capacity

            13.2.2.2. By Application

            13.2.2.3. By End Use

    13.3. Mexico

        13.3.1. Pricing Analysis

        13.3.2. Market Share Analysis, 2022

            13.3.2.1. By Payload Capacity

            13.3.2.2. By Application

            13.3.2.3. By End Use

    13.4. Germany

        13.4.1. Pricing Analysis

        13.4.2. Market Share Analysis, 2022

            13.4.2.1. By Payload Capacity

            13.4.2.2. By Application

            13.4.2.3. By End Use

    13.5. Italy

        13.5.1. Pricing Analysis

        13.5.2. Market Share Analysis, 2022

            13.5.2.1. By Payload Capacity

            13.5.2.2. By Application

            13.5.2.3. By End Use

    13.6. France

        13.6.1. Pricing Analysis

        13.6.2. Market Share Analysis, 2022

            13.6.2.1. By Payload Capacity

            13.6.2.2. By Application

            13.6.2.3. By End Use

    13.7. Eastern Europe

        13.7.1. Pricing Analysis

        13.7.2. Market Share Analysis, 2022

            13.7.2.1. By Payload Capacity

            13.7.2.2. By Application

            13.7.2.3. By End Use

    13.8. Africa

        13.8.1. Pricing Analysis

        13.8.2. Market Share Analysis, 2022

            13.8.2.1. By Payload Capacity

            13.8.2.2. By Application

            13.8.2.3. By End Use

    13.9. India

        13.9.1. Pricing Analysis

        13.9.2. Market Share Analysis, 2022

            13.9.2.1. By Payload Capacity

            13.9.2.2. By Application

            13.9.2.3. By End Use

    13.10. Association of Southeast Asian Nations

        13.10.1. Pricing Analysis

        13.10.2. Market Share Analysis, 2022

            13.10.2.1. By Payload Capacity

            13.10.2.2. By Application

            13.10.2.3. By End Use

    13.11. Oceania

        13.11.1. Pricing Analysis

        13.11.2. Market Share Analysis, 2022

            13.11.2.1. By Payload Capacity

            13.11.2.2. By Application

            13.11.2.3. By End Use

    13.12. China

        13.12.1. Pricing Analysis

        13.12.2. Market Share Analysis, 2022

            13.12.2.1. By Payload Capacity

            13.12.2.2. By Application

            13.12.2.3. By End Use

    13.13. Japan

        13.13.1. Pricing Analysis

        13.13.2. Market Share Analysis, 2022

            13.13.2.1. By Payload Capacity

            13.13.2.2. By Application

            13.13.2.3. By End Use

    13.14. South Korea

        13.14.1. Pricing Analysis

        13.14.2. Market Share Analysis, 2022

            13.14.2.1. By Payload Capacity

            13.14.2.2. By Application

            13.14.2.3. By End Use

14. Market Structure Analysis

    14.1. Competition Dashboard

    14.2. Competition Benchmarking

    14.3. Market Share Analysis of Top Players

        14.3.1. By Regional

        14.3.2. By Payload Capacity

        14.3.3. By Application

        14.3.4. By End Use

15. Competition Analysis

    15.1. Competition Deep Dive

        15.1.1. Universal Robots A/S

            15.1.1.1. Overview

            15.1.1.2. Product Portfolio

            15.1.1.3. Profitability by Market Segments

            15.1.1.4. Sales Footprint

            15.1.1.5. Strategy Overview

                15.1.1.5.1. Marketing Strategy

                15.1.1.5.2. Product Strategy

                15.1.1.5.3. Channel Strategy

        15.1.2. AUBO Robotics

            15.1.2.1. Overview

            15.1.2.2. Product Portfolio

            15.1.2.3. Profitability by Market Segments

            15.1.2.4. Sales Footprint

            15.1.2.5. Strategy Overview

                15.1.2.5.1. Marketing Strategy

                15.1.2.5.2. Product Strategy

                15.1.2.5.3. Channel Strategy

        15.1.3. Fanuc Corporation

            15.1.3.1. Overview

            15.1.3.2. Product Portfolio

            15.1.3.3. Profitability by Market Segments

            15.1.3.4. Sales Footprint

            15.1.3.5. Strategy Overview

                15.1.3.5.1. Marketing Strategy

                15.1.3.5.2. Product Strategy

                15.1.3.5.3. Channel Strategy

        15.1.4. Stäubli International AG

            15.1.4.1. Overview

            15.1.4.2. Product Portfolio

            15.1.4.3. Profitability by Market Segments

            15.1.4.4. Sales Footprint

            15.1.4.5. Strategy Overview

                15.1.4.5.1. Marketing Strategy

                15.1.4.5.2. Product Strategy

                15.1.4.5.3. Channel Strategy

        15.1.5. Robert Bosch GmbH

            15.1.5.1. Overview

            15.1.5.2. Product Portfolio

            15.1.5.3. Profitability by Market Segments

            15.1.5.4. Sales Footprint

            15.1.5.5. Strategy Overview

                15.1.5.5.1. Marketing Strategy

                15.1.5.5.2. Product Strategy

                15.1.5.5.3. Channel Strategy

        15.1.6. KUKA AG

            15.1.6.1. Overview

            15.1.6.2. Product Portfolio

            15.1.6.3. Profitability by Market Segments

            15.1.6.4. Sales Footprint

            15.1.6.5. Strategy Overview

                15.1.6.5.1. Marketing Strategy

                15.1.6.5.2. Product Strategy

                15.1.6.5.3. Channel Strategy

        15.1.7. Precise Automation, Inc.

            15.1.7.1. Overview

            15.1.7.2. Product Portfolio

            15.1.7.3. Profitability by Market Segments

            15.1.7.4. Sales Footprint

            15.1.7.5. Strategy Overview

                15.1.7.5.1. Marketing Strategy

                15.1.7.5.2. Product Strategy

                15.1.7.5.3. Channel Strategy

        15.1.8. Denso Wave Incorporated

            15.1.8.1. Overview

            15.1.8.2. Product Portfolio

            15.1.8.3. Profitability by Market Segments

            15.1.8.4. Sales Footprint

            15.1.8.5. Strategy Overview

                15.1.8.5.1. Marketing Strategy

                15.1.8.5.2. Product Strategy

                15.1.8.5.3. Channel Strategy

        15.1.9. ABB Group

            15.1.9.1. Overview

            15.1.9.2. Product Portfolio

            15.1.9.3. Profitability by Market Segments

            15.1.9.4. Sales Footprint

            15.1.9.5. Strategy Overview

                15.1.9.5.1. Marketing Strategy

                15.1.9.5.2. Product Strategy

                15.1.9.5.3. Channel Strategy

        15.1.10. Yaskawa Electric Corporation

            15.1.10.1. Overview

            15.1.10.2. Product Portfolio

            15.1.10.3. Profitability by Market Segments

            15.1.10.4. Sales Footprint

            15.1.10.5. Strategy Overview

                15.1.10.5.1. Marketing Strategy

                15.1.10.5.2. Product Strategy

                15.1.10.5.3. Channel Strategy

        15.1.11. K2 Kinetics

            15.1.11.1. Overview

            15.1.11.2. Product Portfolio

            15.1.11.3. Profitability by Market Segments

            15.1.11.4. Sales Footprint

            15.1.11.5. Strategy Overview

                15.1.11.5.1. Marketing Strategy

                15.1.11.5.2. Product Strategy

                15.1.11.5.3. Channel Strategy

16. Assumptions & Acronyms Used

17. Research Methodology

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List of Tables

Table 1: Global Value (US$ Million) Forecast by Region, 2017 to 2033

Table 2: Global Volume (Units) Forecast by Region, 2017 to 2033

Table 3: Global Value (US$ Million) Forecast by Payload Capacity, 2017 to 2033

Table 4: Global Volume (Units) Forecast by Payload Capacity, 2017 to 2033

Table 5: Global Value (US$ Million) Forecast by Application, 2017 to 2033

Table 6: Global Volume (Units) Forecast by Application, 2017 to 2033

Table 7: Global Value (US$ Million) Forecast by End Use, 2017 to 2033

Table 8: Global Volume (Units) Forecast by End Use, 2017 to 2033

Table 9: Americas Value (US$ Million) Forecast by Country, 2017 to 2033

Table 10: Americas Volume (Units) Forecast by Country, 2017 to 2033

Table 11: Americas Value (US$ Million) Forecast by Payload Capacity, 2017 to 2033

Table 12: Americas Volume (Units) Forecast by Payload Capacity, 2017 to 2033

Table 13: Americas Value (US$ Million) Forecast by Application, 2017 to 2033

Table 14: Americas Volume (Units) Forecast by Application, 2017 to 2033

Table 15: Americas Value (US$ Million) Forecast by End Use, 2017 to 2033

Table 16: Americas Volume (Units) Forecast by End Use, 2017 to 2033

Table 17: EMEA Value (US$ Million) Forecast by Country, 2017 to 2033

Table 18: EMEA Volume (Units) Forecast by Country, 2017 to 2033

Table 19: EMEA Value (US$ Million) Forecast by Payload Capacity, 2017 to 2033

Table 20: EMEA Volume (Units) Forecast by Payload Capacity, 2017 to 2033

Table 21: EMEA Value (US$ Million) Forecast by Application, 2017 to 2033

Table 22: EMEA Volume (Units) Forecast by Application, 2017 to 2033

Table 23: EMEA Value (US$ Million) Forecast by End Use, 2017 to 2033

Table 24: EMEA Volume (Units) Forecast by End Use, 2017 to 2033

Table 25: South Asia & Pacific Value (US$ Million) Forecast by Country, 2017 to 2033

Table 26: South Asia & Pacific Volume (Units) Forecast by Country, 2017 to 2033

Table 27: South Asia & Pacific Value (US$ Million) Forecast by Payload Capacity, 2017 to 2033

Table 28: South Asia & Pacific Volume (Units) Forecast by Payload Capacity, 2017 to 2033

Table 29: South Asia & Pacific Value (US$ Million) Forecast by Application, 2017 to 2033

Table 30: South Asia & Pacific Volume (Units) Forecast by Application, 2017 to 2033

Table 31: South Asia & Pacific Value (US$ Million) Forecast by End Use, 2017 to 2033

Table 32: South Asia & Pacific Volume (Units) Forecast by End Use, 2017 to 2033

Table 33: East Asia Value (US$ Million) Forecast by Country, 2017 to 2033

Table 34: East Asia Volume (Units) Forecast by Country, 2017 to 2033

Table 35: East Asia Value (US$ Million) Forecast by Payload Capacity, 2017 to 2033

Table 36: East Asia Volume (Units) Forecast by Payload Capacity, 2017 to 2033

Table 37: East Asia Value (US$ Million) Forecast by Application, 2017 to 2033

Table 38: East Asia Volume (Units) Forecast by Application, 2017 to 2033

Table 39: East Asia Value (US$ Million) Forecast by End Use, 2017 to 2033

Table 40: East Asia Volume (Units) Forecast by End Use, 2017 to 2033
Nikhil Kaitwade
Nikhil Kaitwade

Principal Consultant

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List of Charts

Figure 1: Global Value (US$ Million) by Payload Capacity, 2023 to 2033

Figure 2: Global Value (US$ Million) by Application, 2023 to 2033

Figure 3: Global Value (US$ Million) by End Use, 2023 to 2033

Figure 4: Global Value (US$ Million) by Region, 2023 to 2033

Figure 5: Global Value (US$ Million) Analysis by Region, 2017 to 2033

Figure 6: Global Volume (Units) Analysis by Region, 2017 to 2033

Figure 7: Global Value Share (%) and BPS Analysis by Region, 2023 to 2033

Figure 8: Global Y-o-Y Growth (%) Projections by Region, 2023 to 2033

Figure 9: Global Value (US$ Million) Analysis by Payload Capacity, 2017 to 2033

Figure 10: Global Volume (Units) Analysis by Payload Capacity, 2017 to 2033

Figure 11: Global Value Share (%) and BPS Analysis by Payload Capacity, 2023 to 2033

Figure 12: Global Y-o-Y Growth (%) Projections by Payload Capacity, 2023 to 2033

Figure 13: Global Value (US$ Million) Analysis by Application, 2017 to 2033

Figure 14: Global Volume (Units) Analysis by Application, 2017 to 2033

Figure 15: Global Value Share (%) and BPS Analysis by Application, 2023 to 2033

Figure 16: Global Y-o-Y Growth (%) Projections by Application, 2023 to 2033

Figure 17: Global Value (US$ Million) Analysis by End Use, 2017 to 2033

Figure 18: Global Volume (Units) Analysis by End Use, 2017 to 2033

Figure 19: Global Value Share (%) and BPS Analysis by End Use, 2023 to 2033

Figure 20: Global Y-o-Y Growth (%) Projections by End Use, 2023 to 2033

Figure 21: Global Attractiveness by Payload Capacity, 2023 to 2033

Figure 22: Global Attractiveness by Application, 2023 to 2033

Figure 23: Global Attractiveness by End Use, 2023 to 2033

Figure 24: Global Attractiveness by Region, 2023 to 2033

Figure 25: Americas Value (US$ Million) by Payload Capacity, 2023 to 2033

Figure 26: Americas Value (US$ Million) by Application, 2023 to 2033

Figure 27: Americas Value (US$ Million) by End Use, 2023 to 2033

Figure 28: Americas Value (US$ Million) by Country, 2023 to 2033

Figure 29: Americas Value (US$ Million) Analysis by Country, 2017 to 2033

Figure 30: Americas Volume (Units) Analysis by Country, 2017 to 2033

Figure 31: Americas Value Share (%) and BPS Analysis by Country, 2023 to 2033

Figure 32: Americas Y-o-Y Growth (%) Projections by Country, 2023 to 2033

Figure 33: Americas Value (US$ Million) Analysis by Payload Capacity, 2017 to 2033

Figure 34: Americas Volume (Units) Analysis by Payload Capacity, 2017 to 2033

Figure 35: Americas Value Share (%) and BPS Analysis by Payload Capacity, 2023 to 2033

Figure 36: Americas Y-o-Y Growth (%) Projections by Payload Capacity, 2023 to 2033

Figure 37: Americas Value (US$ Million) Analysis by Application, 2017 to 2033

Figure 38: Americas Volume (Units) Analysis by Application, 2017 to 2033

Figure 39: Americas Value Share (%) and BPS Analysis by Application, 2023 to 2033

Figure 40: Americas Y-o-Y Growth (%) Projections by Application, 2023 to 2033

Figure 41: Americas Value (US$ Million) Analysis by End Use, 2017 to 2033

Figure 42: Americas Volume (Units) Analysis by End Use, 2017 to 2033

Figure 43: Americas Value Share (%) and BPS Analysis by End Use, 2023 to 2033

Figure 44: Americas Y-o-Y Growth (%) Projections by End Use, 2023 to 2033

Figure 45: Americas Attractiveness by Payload Capacity, 2023 to 2033

Figure 46: Americas Attractiveness by Application, 2023 to 2033

Figure 47: Americas Attractiveness by End Use, 2023 to 2033

Figure 48: Americas Attractiveness by Country, 2023 to 2033

Figure 49: EMEA Value (US$ Million) by Payload Capacity, 2023 to 2033

Figure 50: EMEA Value (US$ Million) by Application, 2023 to 2033

Figure 51: EMEA Value (US$ Million) by End Use, 2023 to 2033

Figure 52: EMEA Value (US$ Million) by Country, 2023 to 2033

Figure 53: EMEA Value (US$ Million) Analysis by Country, 2017 to 2033

Figure 54: EMEA Volume (Units) Analysis by Country, 2017 to 2033

Figure 55: EMEA Value Share (%) and BPS Analysis by Country, 2023 to 2033

Figure 56: EMEA Y-o-Y Growth (%) Projections by Country, 2023 to 2033

Figure 57: EMEA Value (US$ Million) Analysis by Payload Capacity, 2017 to 2033

Figure 58: EMEA Volume (Units) Analysis by Payload Capacity, 2017 to 2033

Figure 59: EMEA Value Share (%) and BPS Analysis by Payload Capacity, 2023 to 2033

Figure 60: EMEA Y-o-Y Growth (%) Projections by Payload Capacity, 2023 to 2033

Figure 61: EMEA Value (US$ Million) Analysis by Application, 2017 to 2033

Figure 62: EMEA Volume (Units) Analysis by Application, 2017 to 2033

Figure 63: EMEA Value Share (%) and BPS Analysis by Application, 2023 to 2033

Figure 64: EMEA Y-o-Y Growth (%) Projections by Application, 2023 to 2033

Figure 65: EMEA Value (US$ Million) Analysis by End Use, 2017 to 2033

Figure 66: EMEA Volume (Units) Analysis by End Use, 2017 to 2033

Figure 67: EMEA Value Share (%) and BPS Analysis by End Use, 2023 to 2033

Figure 68: EMEA Y-o-Y Growth (%) Projections by End Use, 2023 to 2033

Figure 69: EMEA Attractiveness by Payload Capacity, 2023 to 2033

Figure 70: EMEA Attractiveness by Application, 2023 to 2033

Figure 71: EMEA Attractiveness by End Use, 2023 to 2033

Figure 72: EMEA Attractiveness by Country, 2023 to 2033

Figure 73: South Asia & Pacific Value (US$ Million) by Payload Capacity, 2023 to 2033

Figure 74: South Asia & Pacific Value (US$ Million) by Application, 2023 to 2033

Figure 75: South Asia & Pacific Value (US$ Million) by End Use, 2023 to 2033

Figure 76: South Asia & Pacific Value (US$ Million) by Country, 2023 to 2033

Figure 77: South Asia & Pacific Value (US$ Million) Analysis by Country, 2017 to 2033

Figure 78: South Asia & Pacific Volume (Units) Analysis by Country, 2017 to 2033

Figure 79: South Asia & Pacific Value Share (%) and BPS Analysis by Country, 2023 to 2033

Figure 80: South Asia & Pacific Y-o-Y Growth (%) Projections by Country, 2023 to 2033

Figure 81: South Asia & Pacific Value (US$ Million) Analysis by Payload Capacity, 2017 to 2033

Figure 82: South Asia & Pacific Volume (Units) Analysis by Payload Capacity, 2017 to 2033

Figure 83: South Asia & Pacific Value Share (%) and BPS Analysis by Payload Capacity, 2023 to 2033

Figure 84: South Asia & Pacific Y-o-Y Growth (%) Projections by Payload Capacity, 2023 to 2033

Figure 85: South Asia & Pacific Value (US$ Million) Analysis by Application, 2017 to 2033

Figure 86: South Asia & Pacific Volume (Units) Analysis by Application, 2017 to 2033

Figure 87: South Asia & Pacific Value Share (%) and BPS Analysis by Application, 2023 to 2033

Figure 88: South Asia & Pacific Y-o-Y Growth (%) Projections by Application, 2023 to 2033

Figure 89: South Asia & Pacific Value (US$ Million) Analysis by End Use, 2017 to 2033

Figure 90: South Asia & Pacific Volume (Units) Analysis by End Use, 2017 to 2033

Figure 91: South Asia & Pacific Value Share (%) and BPS Analysis by End Use, 2023 to 2033

Figure 92: South Asia & Pacific Y-o-Y Growth (%) Projections by End Use, 2023 to 2033

Figure 93: South Asia & Pacific Attractiveness by Payload Capacity, 2023 to 2033

Figure 94: South Asia & Pacific Attractiveness by Application, 2023 to 2033

Figure 95: South Asia & Pacific Attractiveness by End Use, 2023 to 2033

Figure 96: South Asia & Pacific Attractiveness by Country, 2023 to 2033

Figure 97: East Asia Value (US$ Million) by Payload Capacity, 2023 to 2033

Figure 98: East Asia Value (US$ Million) by Application, 2023 to 2033

Figure 99: East Asia Value (US$ Million) by End Use, 2023 to 2033

Figure 100: East Asia Value (US$ Million) by Country, 2023 to 2033

Figure 101: East Asia Value (US$ Million) Analysis by Country, 2017 to 2033

Figure 102: East Asia Volume (Units) Analysis by Country, 2017 to 2033

Figure 103: East Asia Value Share (%) and BPS Analysis by Country, 2023 to 2033

Figure 104: East Asia Y-o-Y Growth (%) Projections by Country, 2023 to 2033

Figure 105: East Asia Value (US$ Million) Analysis by Payload Capacity, 2017 to 2033

Figure 106: East Asia Volume (Units) Analysis by Payload Capacity, 2017 to 2033

Figure 107: East Asia Value Share (%) and BPS Analysis by Payload Capacity, 2023 to 2033

Figure 108: East Asia Y-o-Y Growth (%) Projections by Payload Capacity, 2023 to 2033

Figure 109: East Asia Value (US$ Million) Analysis by Application, 2017 to 2033

Figure 110: East Asia Volume (Units) Analysis by Application, 2017 to 2033

Figure 111: East Asia Value Share (%) and BPS Analysis by Application, 2023 to 2033

Figure 112: East Asia Y-o-Y Growth (%) Projections by Application, 2023 to 2033

Figure 113: East Asia Value (US$ Million) Analysis by End Use, 2017 to 2033

Figure 114: East Asia Volume (Units) Analysis by End Use, 2017 to 2033

Figure 115: East Asia Value Share (%) and BPS Analysis by End Use, 2023 to 2033

Figure 116: East Asia Y-o-Y Growth (%) Projections by End Use, 2023 to 2033

Figure 117: East Asia Attractiveness by Payload Capacity, 2023 to 2033

Figure 118: East Asia Attractiveness by Application, 2023 to 2033

Figure 119: East Asia Attractiveness by End Use, 2023 to 2033

Figure 120: East Asia Attractiveness by Country, 2023 to 2033

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