Artificial Intelligence Robots

Artificial Intelligence (AI) Robots Market Size to Exceed US$ 54.3 Billion by 2030 | Says Precedence Research

According to Precedence Research, during the forecast period of 2022 to 2030, the global artificial intelligence (AI) robots market is estimated to develop at a compound annual growth rate (CAGR) of 21.81%. The global artificial intelligence (AI) robots market was valued at USD 9.2 billion in 2021, and it is predicted to exceed USD 54.3 billion by 2030. The study investigates several elements and their consequences on the growth of the artificial intelligence (AI) robots market.

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This report focuses on artificial intelligence (AI) robots market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence (AI) robots market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

Report Scope of the Artificial Intelligence (AI) Robots Market 

Report Coverage Details
Market Size in 2022 USD 11.21 Billion
Market Size by 2030 USD 54.3 Billion
Growth Rate from 2022 to 2030 CAGR of 21.81%
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered Offering, Robot Type, Technology, Deployment Mode, Application, Geography

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence (AI) robots, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence (AI) robots has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence (AI) robots market.

Some of the prominent players in the artificial intelligence (AI) robots market include:

  • ABB
  • AIBrain, Inc.
  • Alphabet
  • Argo AI, LLC
  • Blue Frog Robotics & Buddy – Emotional Robot
  • Brain Corporation
  • CloudMinds Technology Inc.
  • DataRobot, Inc.
  • Fanuc
  • Hanson Robotics Ltd.
  • Harman International Industries
  • IBM Corporation
  • Intel Corporation
  • International Business Machines Corporation
  • Kawasaki
  • Microsoft Corporation
  • Mitsubishi
  • Neurala, Inc.
  • NVIDIA Corporation
  • Omron
  • Promobot
  • SoftBank Corp.
  • UB Tech Robotics, Inc.
  • Veo Robotics, Inc.
  • Vicarious
  • Xilinx
  • Yaskawa

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Segments Covered in the Report

By Offering

  • Software
    • Machine Learning
    • Computer Vision
    • Context Recognition
    • Natural Language Processing (NLP)
  • Hardware
  • Services

By Robot Type

  • Service Robots
  • Industrial Robots
  • Others

By Technology

  • Machine Learning
  • Computer Vision
  • Context Awareness
  • Natural Language Processing

By Deployment Mode

  • Cloud
  • On-premises

By Application

  • Law Enforcement
    • Road Patrol
    • Riot Control
  • Military & Defense
    • Border Security
    • Search and Rescue Operations
    • Combat Operations
    • Spying
  • Public Relations
    • Reception Robots
    • Tour Guiding Robots
  • Personal Assistance and Care
    • Elderly Assistance Robots
    • Companion Robots
  • Education and Entertainment
  • Research and Space exploration
  • Industrial
  • Agriculture
  • Healthcare Assistants
  • Stock Management
  • Others

Regional Segmentation

  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Middle East & Africa [GCC, North Africa, South Africa]

Some of the important ones are:

  • What can be the best investment choices for venturing into new product and service lines?
  • What value propositions should businesses aim at while making new research and development funding?
  • Which regulations will be most helpful for stakeholders to boost their supply chain network?
  • Which regions might see the demand maturing in certain segments in near future?
  • What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
  • Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
  • Which government regulations might challenge the status of key regional markets?
  • How will the emerging political and economic scenario affect opportunities in key growth areas?
  • What are some of the value-grab opportunities in various segments?
  • What will be the barrier to entry for new players in the market?

Table of Contents

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) Robots Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) Robots Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) Robots Market, By Offering

8.1. Artificial Intelligence (AI) Robots Market, by Offering, 2022-2030

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Hardware

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) Robots Market, By Robot Type

9.1. Artificial Intelligence (AI) Robots Market, by Robot Type, 2022-2030

9.1.1. Service Robots

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Industrial Robots

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Others

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Mobile

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) Robots Market, By Technology 

10.1. Artificial Intelligence (AI) Robots Market, by Technology, 2022-2030

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Computer Vision

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Context Awareness

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Natural Language Processing

10.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) Robots Market, By Deployment Mode

11.1. Artificial Intelligence (AI) Robots Market, by Deployment Mode, 2022-2030

11.1.1. Cloud

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. On-premises

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Artificial Intelligence (AI) Robots Market, By Application

12.1. Artificial Intelligence (AI) Robots Market, by Application, 2022-2030

12.1.1. Law Enforcement

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Public Relations

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Personal Assistance and Care

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Education and Entertainment

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Research and Space exploration

12.1.5.1. Market Revenue and Forecast (2017-2030)

12.1.6. Industrial

12.1.6.1. Market Revenue and Forecast (2017-2030)

12.1.7. Agriculture

12.1.7.1. Market Revenue and Forecast (2017-2030)

12.1.8. Healthcare Assistants

12.1.8.1. Market Revenue and Forecast (2017-2030)

12.1.9. Stock Management

12.1.9.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Artificial Intelligence (AI) Robots Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.1.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.1.5. Market Revenue and Forecast, by Application (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.1.6.5. Market Revenue and Forecast, by Application (2017-2030)

13.1.7.  Rest of North America

13.1.7.1.  Market Revenue and Forecast, by Offering (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Technology (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.1.7.5. Market Revenue and Forecast, by Application (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.2.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.5. Market Revenue and Forecast, by Application (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.6.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.6.5. Market Revenue and Forecast, by Application (2017-2030)

13.2.7.  Germany

13.2.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.7.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.2.7.3.  Market Revenue and Forecast, by Technology (2017-2030)

13.2.7.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.7.5. Market Revenue and Forecast, by Application (2017-2030)

13.2.8.  France

13.2.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.8.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.2.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.8.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.8.5.  Market Revenue and Forecast, by Application (2017-2030)

13.2.9. Rest of Europe

13.2.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Technology (2017-2030)

13.2.9.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.2.9.5.  Market Revenue and Forecast, by Application (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.3.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.5. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.  India

13.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.6.5. Market Revenue and Forecast, by Application (2017-2030)

13.3.7. China

13.3.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.7.2.  Market Revenue and Forecast, by Robot Type (2017-2030)

13.3.7.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.7.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.7.5. Market Revenue and Forecast, by Application (2017-2030)

13.3.8. Japan

13.3.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.8.2.  Market Revenue and Forecast, by Robot Type (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.8.5. Market Revenue and Forecast, by Application (2017-2030)

13.3.9. Rest of APAC

13.3.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.9.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.3.9.3. Market Revenue and Forecast, by Technology (2017-2030)

13.3.9.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.3.9.5. Market Revenue and Forecast, by Application (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.4.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.5. Market Revenue and Forecast, by Application (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.4.6.3.  Market Revenue and Forecast, by Technology (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.6.5. Market Revenue and Forecast, by Application (2017-2030)

13.4.7. North Africa

13.4.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.7.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.4.7.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.7.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.7.5. Market Revenue and Forecast, by Application (2017-2030)

13.4.8. South Africa

13.4.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.8.5. Market Revenue and Forecast, by Application (2017-2030)

13.4.9. Rest of MEA

13.4.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.9.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.4.9.3. Market Revenue and Forecast, by Technology (2017-2030)

13.4.9.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.4.9.5. Market Revenue and Forecast, by Application (2017-2030)

13.5.  Latin America

13.5.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.5.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.5. Market Revenue and Forecast, by Application (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.6.5. Market Revenue and Forecast, by Application (2017-2030)

13.5.7. Rest of LATAM

13.5.7.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.7.2. Market Revenue and Forecast, by Robot Type (2017-2030)

13.5.7.3. Market Revenue and Forecast, by Technology (2017-2030)

13.5.7.4. Market Revenue and Forecast, by Deployment Mode (2017-2030)

13.5.7.5. Market Revenue and Forecast, by Application (2017-2030)

Chapter 14. Company Profiles

14.1. ABB

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. AIBrain, Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Alphabet

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Argo AI, LLC

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Blue Frog Robotics & Buddy – Emotional Robot

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Brain Corporation

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. CloudMinds Technology Inc

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. DataRobot, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Fanuc

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Hanson Robotics Ltd.

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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