AUTOMOTIVE & TRANSPORTATION
Global Automotive Robotics Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Automotive Robotics Market, By Type (Articulated Robots, Cartesian Robots, Cylindrical Robots, SCARA Robots, Others), Component Type (Controller, Robotics Arm, End Effector, Drive, Sensor), Application (Welding, Painting, Material Handling, Assembly/Disassembly, Others), Component (Hardware, Software, Services) End User (Vehicle Manufacturers, Automotive Component Manufacturers) Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global automotive robotics market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
Automotive robotics is the use of robots in the manufacture and production of automobiles. These robots improve productivity, accuracy, and safety in the automotive sector by carrying out a variety of jobs like welding, painting, assembling, and material handling. Advanced technologies such as artificial intelligence (AI), machine learning, and computer vision are utilized by automotive robotics to enhance manufacturing lines and elevate product quality. The automotive robotics market entails the creation, manufacture, and deployment of robotic systems and solutions specifically suited for car manufacturing. This market is divided into several segments, including industrial robots, collaborative robots, and autonomous mobile robots. It includes a variety of activities such as research and development, manufacturing, sales, and after-sales support. Robotics manufacturers, automotive firms, technology suppliers, and integrators are among the most important
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Increasing need for improved efficiency in manufacturing processes.
- Rising demand for electric vehicles.
RESTRAINTS
- High initial investment costs.
- Complexity in integrating robotics with existing infrastructure.
OPPORTUNITIES
- Advancements in sensor technology and software capabilities.
- Growth in emerging markets with increasing industrialization.
CHALLENGES
- Regulatory hurdles and safety standards compliance.
- Technical challenges in achieving seamless human-robot collaboration.
SEGMENTATION
- Type
- Articulated Robots
- Cartesian Robots
- Cylindrical Robots
- SCARA Robots
- Others
- Component Type
- Controller
- Robotics Arm
- End Effector
- Drive
- Sensor
- Application
- Welding
- Painting
- Material Handling
- Assembly/Disassembly
- Others
- Component
- Hardware
- Software
- Services
- End User
- Vehicle Manufacturers
- Automotive Component Manufacturers
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, segments, and key players as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- ABB Ltd.
- KUKA AG
- FANUC Corporation
- Yaskawa Electric Corporation
- Kawasaki Heavy Industries, Ltd.
- Comau S.p.A.
- Universal Robots A/S
- Nachi-Fujikoshi Corp.
- Mitsubishi Electric Corporation
- DENSO Corporation
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Automotive Robotics Market, by Type
- 3.2 Global Automotive Robotics Market, by Component Type
- 3.3 Global Automotive Robotics Market, by Application
- 3.4 Global Automotive Robotics Market, by Component
- 3.5 Global Automotive Robotics Market, by End User
- 3.6 Global Automotive Robotics Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Increasing adoption of collaborative robots (cobots).
- 5.1.2 Integration of AI and machine learning for advanced robotics.
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increasing need for improved efficiency in manufacturing processes.
- 5.2.2 Rising demand for electric vehicles.
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High initial investment costs.
- 5.3.2 Complexity in integrating robotics with existing infrastructure.
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Advancements in sensor technology and software capabilities.
- 5.4.2 Growth in emerging markets with increasing industrialization.
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Regulatory hurdles and safety standards compliance.
- 5.5.2 Technical challenges in achieving seamless human-robot collaboration.
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY TYPE
- 6.1 Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Automotive Robotics Market, by Type (2019-2032)
- SECTION 7 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY COMPONENT TYPE
- 7.1 Component Type Summary
- 7.2 Market Attractive Index
- 7.3 Global Automotive Robotics Market, by Component Type (2019-2032)
- SECTION 8 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY APPLICATION
- 8.1 Application Summary
- 8.2 Market Attractive Index
- 8.3 Global Automotive Robotics Market, by Application (2019-2032)
- SECTION 9 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY COMPONENT
- 9.1 Component Summary
- 9.2 Market Attractive Index
- 9.3 Global Automotive Robotics Market, by Component (2019-2032)
- SECTION 10 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY END USER
- 10.1 End User Summary
- 10.2 Market Attractive Index
- 10.3 Global Automotive Robotics Market, by End User (2019-2032)
- SECTION 15 - GLOBAL AUTOMOTIVE ROBOTICS MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Automotive Robotics Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA AUTOMOTIVE ROBOTICS MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Automotive Robotics Market, by Type (2019-2032)
- 12.4 North America Automotive Robotics Market, by Component Type (2019-2032)
- 12.5 North America Automotive Robotics Market, by Application (2019-2032)
- 12.6 North America Automotive Robotics Market, by Component (2019-2032)
- 12.7 North America Automotive Robotics Market, by End User (2019-2032)
- 12.8 North America Automotive Robotics Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE AUTOMOTIVE ROBOTICS MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Automotive Robotics Market, by Type (2019-2032)
- 13.4 Europe Automotive Robotics Market, by Component Type (2019-2032)
- 13.5 Europe Automotive Robotics Market, by Application (2019-2032)
- 13.6 Europe Automotive Robotics Market, by Component (2019-2032)
- 13.7 Europe Automotive Robotics Market, by End User (2019-2032)
- 13.8 Europe Automotive Robotics Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC AUTOMOTIVE ROBOTICS MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Automotive Robotics Market, by Type (2019-2032)
- 14.4 Asia-Pacific Automotive Robotics Market, by Component Type (2019-2032)
- 14.5 Asia-Pacific Automotive Robotics Market, by Application (2019-2032)
- 14.6 Asia-Pacific Automotive Robotics Market, by Component (2019-2032)
- 14.7 Asia-Pacific Automotive Robotics Market, by End User (2019-2032)
- 14.8 Asia-Pacific Automotive Robotics Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA AUTOMOTIVE ROBOTICS MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Automotive Robotics Market, by Type (2019-2032)
- 15.4 South America Automotive Robotics Market, by Component Type (2019-2032)
- 15.5 South America Automotive Robotics Market, by Application (2019-2032)
- 15.6 South America Automotive Robotics Market, by Component (2019-2032)
- 15.7 South America Automotive Robotics Market, by End User (2019-2032)
- 15.8 South America Automotive Robotics Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA AUTOMOTIVE ROBOTICS MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Automotive Robotics Market, by Type (2019-2032)
- 16.4 Middle East and Africa Automotive Robotics Market, by Component Type (2019-2032)
- 16.5 Middle East and Africa Automotive Robotics Market, by Application (2019-2032)
- 16.6 Middle East and Africa Automotive Robotics Market, by Component (2019-2032)
- 16.7 Middle East and Africa Automotive Robotics Market, by End User (2019-2032)
- 16.8 Middle East and Africa Automotive Robotics Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Automotive Robotics Market, Company Share Analysis
- 17.2 North America Automotive Robotics Market, Company Share Analysis
- 17.3 Europe Automotive Robotics Market, Company Share Analysis
- 17.4 Asia-Pacific Automotive Robotics Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 ABB Ltd.
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 KUKA AG
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 FANUC Corporation
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Yaskawa Electric Corporation
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 Kawasaki Heavy Industries, Ltd.
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Comau S.p.A.
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Universal Robots A/S
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Nachi-Fujikoshi Corp.
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Mitsubishi Electric Corporation
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 DENSO Corporation
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.