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The Automotive Robotics Market Size was valued at USD 9.56 billion in 2023 and is expected to reach USD 27.81 billion by 2032 and grow at a CAGR of 12.6% over the forecast period 2024-2032.
Automotive robotics leverages robots to design, manufacture, and assemble cars. These robots excel at various tasks with precision, speed, and efficiency. Their purpose is to streamline production, boost efficiency, and guarantee worker safety by automating repetitive tasks with unmatched consistency and reliability.
From engines and transmissions to interiors and electronics, robots handle it all. Advancements in robotics, artificial intelligence, and machine learning are making these solutions even more sophisticated. Sophisticated sensors and adaptive control systems empower robots to tackle complex tasks with greater autonomy and efficiency. Advanced sensors like LiDAR and cameras help robots navigate complex environments and interact safely with humans and equipment. Additionally, AI algorithms optimize movements, improve operational efficiency, and facilitate decision-making. This allows robots to adapt to changing conditions, avoid collisions, and optimize movement, all propelling market growth.
Most trends in adoption now involve collaborative robots-that is, working robots or cobots-designed to work among human workers. For instance, cobots will comprise over 35% of the total automotive robotics installations through 2025. This indicates that they implement very vital functions regarding productivity and safety on the assembly line. One of the prominent trending features is integrating AI into robotic systems for more precise and adaptive operations. Moreover, about 60% of original equipment manufacturers in the automotive industry are bound to utilize AI-driven robotics solutions by 2026 to manage and reduce production errors and overall plant downtime. This further gets augmented by the growing pace of EV adoption-particularly in the need for specialized robotics in battery assembly and production. It is also estimated that the usage of robotics in EV manufacturing would increase by 45% over the next four years as automakers invest in automation for meeting the surging demand for electric vehicles. In addition, the push for Industry 4.0 is driving up the increased deployment of robotics in smart factories. Approximately 70% of automotive firms intend to integrate smart robotics solutions within their operations by 2027.
KEY DRIVERS:
Automotive robots precision and adaptability reduce part-to-part variability, boosting quality and drives market growth.
The precision and adaptability of robots in car manufacturing are revolutionizing quality control. The robots perform tasks with unwavering accuracy, leading to far less variation between car parts. This consistency minimizes defects and ensures every car rolls off the line meeting the same high standards. Additionally, robots equipped with advanced vision systems can adjust their movements based on slight variations in incoming materials. This adaptability further reduces errors and ensures a perfect fit for each component.
Worker Safety Drives Automotive Robotics Market Growth as Robots Tackle Hazardous Tasks
RESTRAINTS:
High Upfront Costs Hinder Widespread Adoption in Automotive Robotics Market
The widespread adoption of automotive robotics faces a hurdle like high upfront costs. Integrating robots requires investment in equipment, installation, and training, which can be a burden for smaller manufacturers or those in cost-conscious markets. This initial expense discourages some from adopting the technology, hindering the overall growth of the automotive robotics market.
OPPORTUNITIES:
The growing demand for electric and autonomous vehicles necessitates new applications for robots in assembling and testing their unique components.
Advancements in AI and machine learning are creating more sophisticated robots capable of complex tasks and improved decision-making, expanding their capabilities in car manufacturing.
CHALLENGES:
High upfront costs for equipment, installation, and worker training can discourage adoption by smaller manufacturers.
Programming and integrating robots with existing manufacturing processes can be complex and time-consuming.
The war in Russia-Ukraine disrupts the automotive robotics market, already facing chip shortages. Ukraine's stalled production of wiring harnesses and neon gas, vital for chipmaking, forces automakers to find alternative sources. This could lead to 5-10% production slowdowns, potentially delaying car deliveries and raising prices. Additionally, sanctions limit access to palladium, a key component in catalytic converters, from Russia, potentially causing shortages and price hikes. With major car manufacturers halting operations in Russia, the market shrinks and established production lines are disrupted. These factors might stagnate or even decline automotive robot deployments in the short term, with automakers prioritizing existing production until the situation stabilizes.
An economic slowdown disrupts the automotive robotics market. Lower consumer spending could lead to a 3-7% decline in new car sales, directly impacting car manufacturer revenue. This translates to potential 5-10% cutbacks in investments for robotics upgrades, hindering advancements. Economic uncertainty can also make investors hesitant to finance the significant upfront costs of integrating new robotic solutions in car factories. Furthermore, as car sales decline, automakers might resort to production slowdowns, leading to a temporary decrease in demand for new robots or postponing planned deployments. In the short term, this slowdown might stagnate or even cause a slight decline in automotive robot sales.
By Type
Articulated robots are the leaders in the market due to their multi-jointed arms, with about 45% of the total deployment of automotive robots. This is because they show great flexibility and precision in handling such operations as assembly and welding in such industries. They are followed by Cartesian robots, which have their characteristic linear movement, and comprise about 25%. Material handling and packaging are some of the tasks performed well by such robots and ensure that the task is done in high speeds and high-precision operations. With a rotating base, cylindrical robots provide linear motion; they account for 15% of the market. Their application is thus in processes involving combinations of rotational and linear movement, such as material dispensing and assembly. The acronym SCARA means Selective Compliance Articulated Robot Arm, and these are robots that do their movement in a horizontal way, representing about 10% of the market. They can be used for tasks that need very high speeds and accuracy; examples include pick-and-place and small component assembly. Other robot types take up another 5%, including delta robots and collaborative robots that are finding extensive use in the solution of problems which require speed, precision, and safety of human-robot collaboration.
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By Application
Welding robots lead the market by about 40% of robotic applications in industry. The accuracy and reliability in the execution of complicated welding tasks make them very important to ensure the integrity of vehicles. Material-handling robots constitute the second most significant group with about 30% of the market share. These robots play a crucial role in material transferring, loading, and positioning, among other activities, greatly promoting production efficiency and reducing human labor. Assembly/Disassembly robots are also applied in the complex tasks of assembling and/or disassembling several automotive components. They are fitted with 15% of the market shares in the order of world importance. Painting robots are noted for their consistent, high-quality finishing. Paint spraying robots account for approximately 10% of total robots used in the automotive industry. This implies that standardization is assured because there will be no waste production, hence improved quality and reduced costs.
The Asia Pacific is the dominating region in the automotive robotics market holding around 50-55% of share due to its growing car manufacturing industry in China, Japan, and South Korea. Government support for automation and rising labour costs further fuel this dominance.
Europe is the second highest region in this market driven by luxury car giants in Germany and Italy who rely on robotics for precision and meeting strict safety regulations.
North America experiences the fastest growth due to the resurgence of muscle cars requiring advanced manufacturing techniques and a focus on performance enhancement. This region is also a hub for technological innovation in robotics for car manufacturing.
The major key players are FANUC Corporation (Japan), Kawasaki Heavy Industries, Yaskawa Electric Corporation (Japan), KUKA AG (Germany), ABB (Switzerland), Comau, DENSO WAVE INCORPORATED, NACHI-FUJIKOSHI CORP., Rockwell Automation, Inc., Seiko Epson Corporation, and other key players.
In Sept. 2023: OTTO Motors introduces the OTTO 1200, a powerful AMR designed for tight spaces. This heavyweight robot boasts a 1,200 kg payload capacity and safe navigation around people using patented technology.
In Nov. 2023: ABB Robotics launched the IRB 930, a new SCARA robot with three variants for 12kg and 22kg payloads. This addition aims to address new growth opportunities in both traditional and emerging markets.
| Report Attributes | Details |
| Market Size in 2023 | US$ 9.56 Bn |
| Market Size by 2032 | US$ 27.81 Bn |
| CAGR | CAGR of 12.24% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (Articulated, Cartesian, SCARA, Cylindrical, Others) • By Component (Controller, End effector, Robotic arm, Drive, Sensors, Others) • By Application (Welding, Painting, Cutting, Material Handling, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | FANUC Corporation, Kawasaki Heavy Industries, Yaskawa Electric Corporation, KUKA AG, ABB, Comau, DENSO WAVE INCORPORATED, NACHI-FUJIKOSHI CORP., Rockwell Automation, Inc., Seiko Epson Corporation |
| Key Drivers | • The use of automation to ensure excellent manufacturing. • The growing reliance on articulated robots to ensure production efficiency. |
| Challenges | • Concerns regarding worker safety are growing. • The worldwide automotive robot industry faces a considerable upfront investment. |
Ans:- The market size is expected to reach USD 27.81 billion by 2032.
Ans:- The incorporation of industry 4.0 is one of the emerging trends that will be seen in the market for automotive robotics.
Ans:- The drive segment is the most influential segment expanding in the automotive robotics report based on the components.
Ans:- Yes.
Ans:- Asia pacific region is anticipated to be the major driver of the market.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.2 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Vehicle Production and Sales Volumes, 2020-2032, by Region
5.2 Emission Standards Compliance, by Region
5.3 Vehicle Technology Adoption, by Region
5.4 Consumer Preferences, by Region
5.5 Aftermarket Trends (Data on vehicle maintenance, parts, and services)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Type Benchmarking
6.3.1 Type specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new Type launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Automotive Robotics Market Segmentation, by Type
7.1 Chapter Overview
7.2 Articulated
7.2.1 Articulated Market Trends Analysis (2020-2032)
7.2.2 Articulated Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Cartesian
7.3.1 Cartesian Robotics Market Trends Analysis (2020-2032)
7.3.2 Cartesian Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Cylindrical
7.4.1 Cylindrical Market Trends Analysis (2020-2032)
7.4.2 Cylindrical Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 SCARA
7.5.1 SCARA Market Trends Analysis (2020-2032)
7.5.2 SCARA Market Size Estimates and Forecasts to 2032 (USD Billion)
7.6 Others
7.6.1 Others Market Trends Analysis (2020-2032)
7.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Automotive Robotics Market Segmentation, by Application
8.1 Chapter Overview
8.2 Welding
8.2.1 Welding Market Trends Analysis (2020-2032)
8.2.2 Welding Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Painting
8.3.1 Painting Market Trends Analysis (2020-2032)
8.3.2 Painting Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Material Handling
8.4.1 Material Handling Market Trends Analysis (2020-2032)
8.4.2 Material Handling Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Assembly/Disassembly
8.5.1 Assembly/Disassembly Market Trends Analysis (2020-2032)
8.5.2 Assembly/Disassembly Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Others
8.6.1 Others Market Trends Analysis (2020-2032)
8.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.4 North America Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.5.2 USA Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.6.2 Canada Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Mexico Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.5.2 Poland Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.6.2 Romania Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.4 Western Europe Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.5.2 Germany Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.6.2 France Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.7.2 UK Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.8.2 Italy Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.9.2 Spain Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.12.2 Austria Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4 Asia Pacific
9.4.1 Trends Analysis
9.4.2 Asia Pacific Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia Pacific Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.4 Asia Pacific Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 China Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 India Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 Japan Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.6.2 South Korea Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Vietnam Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.8.2 Singapore Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.9.2 Australia Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.10 Rest of Asia Pacific
9.4.10.1 Rest of Asia Pacific Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia Pacific Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.4 Middle East Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.5.2 UAE Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.4 Africa Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Automotive Robotics Market Estimates and Forecasts, by Component (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Automotive Robotics Market Estimates and Forecasts, by Technology (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Automotive Robotics Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.4 Latin America Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.5.2 Brazil Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.6.2 Argentina Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.7.2 Colombia Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Automotive Robotics Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Automotive Robotics Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10. Company Profiles
10.1 FANUC Corporation
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 Kawasaki Heavy Industries
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products / Services Offered
10.2.4 SWOT Analysis
10.3 Yaskawa Electric Corporation
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products / Services Offered
10.3.4 SWOT Analysis
10.4 KUKA AG
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products / Services Offered
10.4.4 SWOT Analysis
10.5 ABB
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products / Services Offered
10.5.4 SWOT Analysis
10.6 Comau
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products / Services Offered
10.6.4 SWOT Analysis
10.7 DENSO WAVE INCORPORATED
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products / Services Offered
10.7.4 SWOT Analysis
10.8 NACHI-FUJIKOSHI CORP
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products / Services Offered
10.8.4 SWOT Analysis
10.9 Seiko Epson Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products / Services Offered
10.9.4 SWOT Analysis
10.10 Others
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products / Services Offered
10.9.4 SWOT Analysis
11. Use Cases and Best Practices
12. Conclusion
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Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
KEY MARKET SEGMENTS:
By Type
Articulated
Cartesian
Cylindrical
SCARA
Others
By Application
Welding
Painting
Material Handling
Assembly/Disassembly
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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