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Global Automotive Robotic Painting Market to reach USD XX billion by 2028.

Global Automotive Robotic Painting Market Size study, by Product Type (Cartesian, Cylindrical, Articulated, SCARA, Others), By Components (Robotic Arm, Sensors, Controller, End Effector, Drive, Others), by Material (Titanium, Carbon fiber, Steel and Iron, Alloy Metal, Others), by End-User (OEM, Aftermarket) and Regional Forecasts 2022-2028

Product Code: ALTAE-95626645
Publish Date: 10-05-2022
Page: 200

Global Automotive Robotic Painting market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028. The automobile robotic painting machine is used to apply paint or coatings to the body of the vehicles. Automotive robotic painting machines can operate in tough environments where workers are harmed by the environment, can apply paint without leaving errors, drips, or overspray, and can release various forms of toxic gases from paint that can harm human health. Increasing demand for vehicles and increase in industrial plans such as industry 4.0 are the key drivers in the automotive robotic painting market. For instance, as per Statista, investments in Industry 4.0 technologies were expected to increase in the years following the launch of the plan, as the Italian government encouraged the digital transformation of the industrial sector through a variety of tax incentives. The market for Industry 4.0 is estimated to reach USD 3.53 billion in 2021. Furthermore, the packaging industry is expecting to invest about USD 15 billion per annum into digital operations solutions until 2020. Moreover, growing sales of passenger cars and light commercial vehicles create lucrative opportunities in the forecast years. For instance, as per the UN Environment Programme, The worldwide light-duty vehicle fleet, which includes passenger cars and light commercial vehicles (such as pick-up trucks and delivery vans), is rapidly growing, with more than 2.5 billion vehicles expected by 2050. The majority of this expansion will occur in emerging markets such as Europe. However, high initial investment impedes the growth of the market over the forecast period of 2022-2028.

The geographical regions considered for the global Automotive Robotic Painting market analysis include Asia Pacific, North America, Europe, Latin America and Rest of the World. APAC is leading the automotive robotic painting market and is estimated to be the fastest growing market owing to increase in the adoption of automatic technology in painting and coating. Also, China and India are projected to grow in upcoming years owing to the increasing demand for vehicle modification.

Major market players included in this report are:
Kawasaki (Chongqing) Robotic Engineering Co., Ltd.
ABB Flexible Automation GmbH
FANUC America Corporation
NewGenic VacuuTek Pvt. Ltd. (NGVT)
KUKA Aktiengesellschaft
DENSO Robotic
Stäubli International AG
Acieta LLC
Dürr India
Epson America, Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Product Type:
By Components:
Robotic Arm
End Effector
By Material:
Carbon fiber
Steel and Iron
Alloy Metal
By End-User:
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Automotive Robotic Painting Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Automotive Robotic Painting Market, by Region, 2020-2028 (USD Billion)
1.2.2. Automotive Robotic Painting Market, by Product Type, 2020-2028 (USD Billion)
1.2.3. Automotive Robotic Painting Market, by Components, 2020-2028 (USD Billion)
1.2.4. Automotive Robotic Painting Market, by Material 2020-2028 (USD Billion)
1.2.5. Automotive Robotic Painting Market, by End-User 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automotive Robotic Painting Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automotive Robotic Painting Market Dynamics
3.1. Automotive Robotic Painting Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Increasing demand for vehicle Increase in industrial plans such as industry 4.0
3.1.2. Market Challenges High initial investment
3.1.3. Market Opportunities Growing sales of passenger cars and light commercial vehicles
Chapter 4. Global Automotive Robotic Painting Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Automotive Robotic Painting Market, by Product type
6.1. Market Snapshot
6.2. Global Automotive Robotic Painting Market by Product Type, Performance – Potential Analysis
6.3. Global Automotive Robotic Painting Market Estimates & Forecasts by Product Type, 2018-2028 (USD Billion)
6.4. Automotive Robotic Painting Market, Sub Segment Analysis
6.4.1. Cartesian
6.4.2. Cylindrical
6.4.3. Articulated
6.4.4. SCARA
6.4.5. Others
Chapter 7. Global Automotive Robotic Painting Market, by Components
7.1. Market Snapshot
7.2. Global Automotive Robotic Painting Market by Components, Performance – Potential Analysis
7.3. Global Automotive Robotic Painting Market Estimates & Forecasts by Components, 2018-2028 (USD Billion)
7.4. Automotive Robotic Painting Market, Sub Segment Analysis
7.4.1. Robotic Arm
7.4.2. Sensors
7.4.3. Controller
7.4.4. End Effector
7.4.5. Drive
7.4.6. Others
Chapter 8. Global Automotive Robotic Painting Market, by Material
8.1. Market Snapshot
8.2. Global Automotive Robotic Painting Market by Material, Performance – Potential Analysis
8.3. Global Automotive Robotic Painting Market Estimates & Forecasts by Material, 2018-2028 (USD Billion)
8.4. Automotive Robotic Painting Market, Sub Segment Analysis
8.4.1. Titanium
8.4.2. Carbon fiber
8.4.3. Steel and Iron
8.4.4. Alloy Metal
8.4.5. Others
Chapter 9. Global Automotive Robotic Painting Market, by End-User
9.1. Market Snapshot
9.2. Global Automotive Robotic Painting Market by End-User, Performance – Potential Analysis
9.3. Global Automotive Robotic Painting Market Estimates & Forecasts by End-User, 2018-2028 (USD Billion)
9.4. Automotive Robotic Painting Market, Sub Segment Analysis
9.4.1. OEM
9.4.2. Aftermarket
Chapter 10. Global Automotive Robotic Painting Market, Regional Analysis
10.1. Automotive Robotic Painting Market, Regional Market Snapshot
10.2. North America Automotive Robotic Painting Market
10.2.1. U.S. Automotive Robotic Painting Market Product Type breakdown estimates & forecasts, 2018-2028 Components breakdown estimates & forecasts, 2018-2028 Material breakdown estimates & forecasts, 2018-2028 End-User breakdown estimates & forecasts, 2018-2028
10.2.2. Canada Automotive Robotic Painting Market
10.3. Europe Automotive Robotic Painting Market Snapshot
10.3.1. U.K. Automotive Robotic Painting Market
10.3.2. Germany Automotive Robotic Painting Market
10.3.3. France Automotive Robotic Painting Market
10.3.4. Spain Automotive Robotic Painting Market
10.3.5. Italy Automotive Robotic Painting Market
10.3.6. Rest of Europe Automotive Robotic Painting Market
10.4. Asia-Pacific Automotive Robotic Painting Market Snapshot
10.4.1. China Automotive Robotic Painting Market
10.4.2. India Automotive Robotic Painting Market
10.4.3. Japan Automotive Robotic Painting Market
10.4.4. Australia Automotive Robotic Painting Market
10.4.5. South Korea Automotive Robotic Painting Market
10.4.6. Rest of Asia Pacific Automotive Robotic Painting Market
10.5. Latin America Automotive Robotic Painting Market Snapshot
10.5.1. Brazil Automotive Robotic Painting Market
10.5.2. Mexico Automotive Robotic Painting Market
10.6. Rest of The World Automotive Robotic Painting Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Kawasaki (Chongqing) Robotic Engineering Co., Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. ABB Flexible Automation GmbH
11.2.3. FANUC America Corporation
11.2.4. NewGenic VacuuTek Pvt. Ltd. (NGVT)
11.2.5. KUKA Aktiengesellschaft
11.2.6. DENSO Robotic
11.2.7. Stäubli International AG
11.2.8. Acieta LLC
11.2.9. Dürr India
11.2.10. Epson America, Inc.
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

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Data Collection:
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Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
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