Table of Content


Chapter 1 Methodology and Scope
1.1 Methodology
1.1.1 Initial data exploration
1.1.2 Statistical model and forecast
1.1.3 Industry insights and validation
1.1.4 Scope, definition and forecast parameters
1.1.4.1 Definitions
1.1.4.2 Assumptions, methodology and forecast parameters
1.2 Region-wise COVID-19 impact analysis
1.2.1.1 North America
1.2.1.2 Europe
1.2.1.3 Asia Pacific
1.2.1.4 Latin America
1.2.1.5 Middle East & Africa
1.3 Data Sources
1.3.1 Secondary
1.3.2 Primary
Chapter 2 Executive Summary
2.1 Robot market industry 360 degree synopsis, 2017 – 2030
2.1.1 Business trends
2.1.2 Regional trends
2.1.3 Product trends
2.1.4 Vertical trends
Chapter 3 Industry Insights
3.1 Industry segmentation
3.2 Impact of COVID-19 on robot market industry landscape
3.2.1 Global outlook
3.2.2 Regional impact
3.2.2.1 North America
3.2.2.2 Europe
3.2.2.3 Asia Pacific
3.2.2.4 Latin America
3.2.2.5 MEA
3.2.3 Industry value chain
3.2.3.1 Research & development
3.2.3.2 Manufacturing
3.2.3.3 Marketing
3.2.3.4 Supply
3.2.4 Competitive landscape
3.2.4.1 Strategy
3.2.4.2 Distribution network
3.2.4.3 Business growth
3.3 Industry ecosystem analysis
3.3.1 Component suppliers
3.3.2 Technology providers
3.3.3 Manufacturers
3.3.4 End use landscape
3.3.5 Distribution channel analysis
3.3.6 Vendor matrix
3.4 Technology & innovation landscape
3.5 Regulatory landscape
3.5.1 North America
3.5.2 Europe
3.5.3 Asia Pacific
3.5.4 Latin America
3.5.5 MEA
3.6 Industry impact forces
3.6.1 Growth drivers
3.6.1.1 Growing demand for UVC and delivery robots across the globe due to COVID-19 pandemic
3.6.1.2 High demand for guide/security robots in North America & Europe due to rapid rise in the labor cost and demand for advanced technologies
3.6.1.3 Increasing usage of deliver robots in retail industry
3.6.1.4 Rising healthcare and hospitality industry in MEA and Latin America
3.6.1.5 Growing investments for development of new robots across Asia Pacific region
3.6.2 Industry pitfalls & challenges
3.6.2.1 High manufacturing cost for robots
3.6.2.2 Growing government regulations
3.7 Growth potential analysis
3.8 Porter’s analysis
3.8.1 Supplier power
3.8.2 Buyer power
3.8.3 Threat of new entrants
3.8.4 Threat of substitutes
3.8.5 Internal rivalry
3.9 PESTEL analysis
Chapter 4 Competitive Landscape,
4.1 Introduction
4.2 Company market share, 2020
4.3 Key player analysis, 2020
4.3.1 RobotLAB, Inc.
4.3.2 Xenex Disinfection Services Inc
4.3.3 Amazon, Inc
4.3.4 Nuro
4.3.5 Lockheed Martin Corporation
4.3.6 Northrop Grumman Corporation
Chapter 5 Robot Market, By Product
5.1 Key trends by product
5.2 UVC disinfection robot
5.2.1 Market estimates and forecast, by type, 2017 – 2030
5.2.1.1 Fully Autonomous
5.2.1.1.1 Market estimates and forecast, 2017 – 2030
5.2.1.2 Semi-Autonomous
5.2.1.2.1 Market estimates and forecast, 2017 – 2030
5.2.2 Market estimates and forecast, by vertical, 2017 – 2030
5.3 Delivery robot
5.3.1 Market estimates and forecast, by type, 2017 – 2030
5.3.1.1 Serving Robots
5.3.1.1.1 Market estimates and forecast, 2017 – 2030
5.3.1.2 Indoor Delivery Robots
5.3.1.2.1 Market estimates and forecast, 2017 – 2030
5.3.2 Market estimates and forecast, by vertical, 2017 – 2030
5.4 Guide robot
5.4.1 Market estimates and forecast, 2017 – 2030
5.4.2 Market estimates and forecast, by vertical, 2017 – 2030
5.5 Security robot
5.5.1 Market estimates and forecast, 2017 – 2030
5.5.2 Market estimates and forecast, by vertical, 2017 – 2030
Chapter 6 Robot Market, By Vertical
6.1 Key trends by vertical
6.2 Retail
6.2.1 Market estimates and forecast, 2017 – 2030
6.3 Hospitality
6.3.1 Market estimates and forecast, 2017 – 2030
6.4 Education & Scientific Research
6.4.1 Market estimates and forecast, 2017 – 2030
6.5 Healthcare
6.5.1 Market estimates and forecast, 2017 – 2030
6.6 Residential
6.6.1 Market estimates and forecast, 2017 – 2030
6.7 Public
6.7.1 Market estimates and forecast, 2017 – 2030
6.8 Offline
6.8.1 Market estimates and forecast, 2017 – 2030
Chapter 7 Robot Market, By Region
7.1 Key trends by region
7.2 North America
7.2.1 Market estimates and forecast, by product, 2017 – 2030
7.2.2 Market estimates and forecast, by vertical, 2017 – 2030
7.2.3 U.S.
7.2.3.1 Market estimates and forecast, by product, 2017 – 2030
7.2.3.2 Market estimates and forecast, by vertical, 2017 – 2030
7.2.4 Canada
7.2.4.1 Market estimates and forecast, by product, 2017 – 2030
7.2.4.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3 Europe
7.3.1 Market estimates and forecast, by product, 2017 – 2030
7.3.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.3 UK
7.3.3.1 Market estimates and forecast, by product, 2017 – 2030
7.3.3.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.4 Germany
7.3.4.1 Market estimates and forecast, by product, 2017 – 2030
7.3.4.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.5 France
7.3.5.1 Market estimates and forecast, by product, 2017 – 2030
7.3.5.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.6 Italy
7.3.6.1 Market estimates and forecast, by product, 2017 – 2030
7.3.6.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.7 Russia
7.3.7.1 Market estimates and forecast, by product, 2017 – 2030
7.3.7.2 Market estimates and forecast, by vertical, 2017 – 2030
7.3.8 Spain
7.3.8.1 Market estimates and forecast, by product, 2017 – 2030
7.3.8.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4 Asia Pacific
7.4.1 Market estimates and forecast, by product, 2017 – 2030
7.4.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.3 China
7.4.3.1 Market estimates and forecast, by product, 2017 – 2030
7.4.3.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.4 India
7.4.4.1 Market estimates and forecast, by product, 2017 – 2030
7.4.4.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.5 Japan
7.4.5.1 Market estimates and forecast, by product, 2017 – 2030
7.4.5.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.6 South Korea
7.4.6.1 Market estimates and forecast, by product, 2017 – 2030
7.4.6.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.7 Indonesia
7.4.7.1 Market estimates and forecast, by product, 2017 – 2030
7.4.7.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.8 Australia
7.4.8.1 Market estimates and forecast, by product, 2017 – 2030
7.4.8.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.9 Thailand
7.4.9.1 Market estimates and forecast, by product, 2017 – 2030
7.4.9.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.10 Singapore
7.4.10.1 Market estimates and forecast, by product, 2017 – 2030
7.4.10.2 Market estimates and forecast, by vertical, 2017 – 2030
7.4.11 Hong Kong
7.4.11.1 Market estimates and forecast, by product, 2017 – 2030
7.4.11.2 Market estimates and forecast, by vertical, 2017 – 2030
7.5 Latin America
7.5.1 Market estimates and forecast, By product, 2017 – 2030
7.5.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.3 Brazil
7.5.3.1 Market estimates and forecast, By product, 2017 – 2030
7.5.3.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.4 Mexico
7.5.4.1 Market estimates and forecast, By product, 2017 – 2030
7.5.4.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.5 Argentina
7.5.5.1 Market estimates and forecast, By product, 2017 – 2030
7.5.5.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.6 Columbia
7.5.6.1 Market estimates and forecast, By product, 2017 – 2030
7.5.6.2 Market estimates and forecast, By Vertical, 2017 – 2030
7.5.7 Chile
7.5.7.1 Market estimates and forecast, By product, 2017 – 2030
7.5.7.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.8 Peru
7.5.8.1 Market estimates and forecast, By product, 2017 – 2030
7.5.8.2 Market estimates and forecast, By vertical, 2017 – 2030
7.5.9 Mexico
7.5.9.1 Market estimates and forecast, By product, 2017 – 2030
7.5.9.2 Market estimates and forecast, By vertical, 2017 – 2030
7.6 MEA
7.6.1 Market estimates and forecast, By product, 2017 – 2030
7.6.2 Market estimates and forecast, By vertical, 2017 – 2030
7.6.3 UAE
7.6.3.1 Market estimates and forecast, By product, 2017 – 2030
7.6.3.2 Market estimates and forecast, By vertical, 2017 – 2030
7.6.4 Saudi Arabia
7.6.4.1 Market estimates and forecast, By product, 2017 – 2030
7.6.4.2 Market estimates and forecast, By vertical, 2017 – 2030
7.6.5 South Africa
7.6.5.1 Market estimates and forecast, By product, 2017 – 2030
7.6.5.2 Market estimates and forecast, By vertical, 2017 – 2030
Chapter 8 Company Profiles
8.1 Amazon Robotics
8.1.1 Business Overview
8.1.2 Financial Data
8.1.3 Type Landscape
8.1.4 Strategic Outlook
8.1.5 SWOT Analysis
8.2 PAL Robotics
8.2.1 Business Overview
8.2.2 Financial Data
8.2.3 Type Landscape
8.2.4 Strategic Outlook
8.2.5 SWOT Analysis
8.3 Blue Ocean Robotics
8.3.1 Business Overview
8.3.2 Financial Data
8.3.3 Type Landscape
8.3.4 Strategic Outlook
8.3.5 SWOT Analysis
8.4 Finsen Technologies
8.4.1 Business Overview
8.4.2 Financial Data
8.4.3 Type Landscape
8.4.4 Strategic Outlook
8.4.5 SWOT Analysis
8.5 Honda
8.5.1 Business Overview
8.5.2 Financial Data
8.5.3 Type Landscape
8.5.4 Strategic Outlook
8.5.5 SWOT Analysis
8.6 Kawada Robotics
8.6.1 Business Overview
8.6.2 Financial Data
8.6.3 Type Landscape
8.6.4 Strategic Outlook
8.6.5 SWOT Analysis
8.7 RV Automation Technology Co. Ltd.
8.7.1 Business Overview
8.7.2 Financial Data
8.7.3 Type Landscape
8.7.4 Strategic Outlook
8.7.5 SWOT Analysis
8.8 Robotlab, Inc.
8.8.1 Business Overview
8.8.2 Financial Data
8.8.3 Type Landscape
8.8.4 Strategic Outlook
8.8.5 SWOT Analysis
8.9 Savioke, Inc.
8.9.1 Business Overview
8.9.2 Financial Data
8.9.3 Type Landscape
8.9.4 Strategic Outlook
8.9.5 SWOT Analysis
8.10 Softbank Group
8.10.1 Business Overview
8.10.2 Financial Data
8.10.3 Type Landscape
8.10.4 Strategic Outlook
8.10.5 SWOT Analysis
8.11 Starship Technologies
8.11.1 Business Overview
8.11.2 Financial Data
8.11.3 Type Landscape
8.11.4 Strategic Outlook
8.11.5 SWOT Analysis
8.12 TMI Robotics
8.12.1 Business Overview
8.12.2 Financial Data
8.12.3 Type Landscape
8.12.4 Strategic Outlook
8.12.5 SWOT Analysis
8.13 Tru-D Smart UVC
8.13.1 Business Overview
8.13.2 Financial Data
8.13.3 Type Landscape
8.13.4 Strategic Outlook
8.13.5 SWOT Analysis
8.14 Ubtech Robotics, Inc.
8.14.1 Business Overview
8.14.2 Financial Data
8.14.3 Type Landscape
8.14.4 Strategic Outlook
8.14.5 SWOT Analysis
8.15 Xenex Disinfection Services LLC
8.15.1 Business Overview
8.15.2 Financial Data
8.15.3 Type Landscape
8.15.4 Strategic Outlook
8.15.5 SWOT Analysis
8.16 Keenon Robotics
8.16.1 Business Overview
8.16.2 Financial Data
8.16.3 Type Landscape
8.16.4 Strategic Outlook
8.16.5 SWOT Analysis
8.17 Nuro
8.17.1 Business Overview
8.17.2 Financial Data
8.17.3 Type Landscape
8.17.4 Strategic Outlook
8.17.5 SWOT Analysis
8.18 Panasonic System Solutions
8.18.1 Business Overview
8.18.2 Financial Data
8.18.3 Type Landscape
8.18.4 Strategic Outlook
8.18.5 SWOT Analysis
8.19 Pudu Technology, Inc.
8.19.1 Business Overview
8.19.2 Financial Data
8.19.3 Type Landscape
8.19.4 Strategic Outlook
8.19.5 SWOT Analysis
8.20 Robby Technologies
8.20.1 Business Overview
8.20.2 Financial Data
8.20.3 Type Landscape
8.20.4 Strategic Outlook
8.20.5 SWOT Analysis
8.21 Robomart
8.21.1 Business Overview
8.21.2 Financial Data
8.21.3 Type Landscape
8.21.4 Strategic Outlook
8.21.5 SWOT Analysis
8.22 Yunji Technologies
8.22.1 Business Overview
8.22.2 Financial Data
8.22.3 Type Landscape
8.22.4 Strategic Outlook
8.22.5 SWOT Analysis