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Global AI robots market to reach USD 48.91 billion by 2027.

Global AI robots market Size study, by Robot Type (Service, and Industrial), Technology (Machine Learning, Computer Vision, Context Awareness, and NPL), Offering (Software, Hardware), Application (Military & Defence, Law Enforcement, Personal Assistance and Care giving, Security and Surveillance, Public Relations, Education and Entertainment, Research and Space exploration, Industrial, Agriculture, Healthcare Assistance, Stock Management, Others), Deployment mode (Cloud, On-premises) and Regional Forecasts 2021-2027

Product Code: ICTNGT-64791972
Publish Date: 30-11-2021
Page: 200

Global AI robots market is valued approximately USD 6.9 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 38.6 % over the forecast period 2021-2027. Artificial intelligence robots are robots controlled by a computer to perform tasks which are usually done by humans. With technological advancement AI robots are now used in various restaurants, healthcare departments and others. Installing industrial robots in the production process has helped in performing monotonous task in more effective manner and it also helps in reducing the labor cost. So, implementation of artificial intelligence serves as a key driver for the market. Another factor driving the Artificial Intelligence Robot market is increasing demand for robots that can socialize and perform tasks such as companionship, home security guard, taking care of patient. Major companies are focusing on developing a robot who can master all these tasks and expand their market and also hold their respective position in the market by introducing innovative changes in the robots. Hanson Robotics and CereProc cooperated on Sophia, an advanced AI project, in May 2020. Sophia is the first robot to sing a duet with a human on Jimmy Fallon’s Tonight Show, utilizing CereProc’s singing TTS technology. Sophia now has an improved AI-based synthetic voice that can offer more dramatic and engaging performances in real time, as well as communicate comedy, tension, excitement, and the occasional cheeky comment, thanks to this joint AI initiative. NVIDIA will release the Jetson NanoTM 2GB Developer Kit in October 2020, which is intended for teaching and learning AI through hands-on projects in fields such as robotics and intelligent IoT. However, robots can be hacked which may lead to its misuse or data leaks. This is expected to be a challenge for the market. Also, increasing aging population worldwide boosting the demand for AI-based robots for elderly assistance is likely to increase the market growth during the forecast period.

The regional analysis of global AI robots market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share owing to the increasing demand for AI-integrated professional service robots for medical and underwater applications. Whereas, Asia-Pacific is also anticipated to exhibit highest growth rate over the forecast period 2021-2027. Factors such as growing adoption of deep learning and NLP technologies for retail and security applications would create lucrative growth prospects for the AI robots market across Asia-Pacific region.

Major market player included in this report are:
SoftBank (Japan),
Hanson Robotics (China),
Intel (US),
Microsoft (US),
Alphabet (US),
Harman International Industries (Samsung) (US),
Xilinx (US),
ABB (Switzerland),
FANUC (Japan),
KUKA (a subsidiary of Midea Group) (Germany),
Amazon (US),
Blue Frog Robotics (France)

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 Offering:

By Robot Type:
Service Robots
Industrial Robots
By Technology:
Machine Learning
Computer Vision
Context Awareness
Natural Language Processing

By Deployment mode:
By Application:
Military & Defence
Law Enforcement
Personal Assistance and Care giving
Security and Surveillance
Public Relations
Education and Entertainment
Research and Space exploration
Healthcare Assistance
Stock Management

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
Base year – 2020
Forecast period – 2021 to 2027

Target Audience of the Global AI robots 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, 2019-2027 (USD Billion)
1.2.1. AI Robots Market, by Region, 2019-2027 (USD Billion)
1.2.2. AI Robots Market, by Offering, 2019-2027 (USD Billion)
1.2.3. AI Robots Market, by Robot Type, 2019-2027 (USD Billion)
1.2.4. AI Robots Market, by Technology, 2019-2027 (USD Billion)
1.2.5. AI Robots Market, by Deployment Mode, 2019-2027 (USD Billion)
1.2.6. AI Robots Market, by Application, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI Robots 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 AI Robots Market Dynamics
3.1. AI Robots Market Impact Analysis (2019-2027)
3.1.1. Market Drivers High adoption of robots for personal use Support from governments worldwide Rise in adoption of AI Robots in healthcare industry to control COVID-19 Rise in demand for industrial robots
3.1.2. Market Challenges Absence of standardized regulations to prevent risks associated with networked and autonomous robots
3.1.3. Market Opportunities Increasing aging population worldwide boosting the demand for AI-based robots for elderly assistance
Chapter 4. Global AI Robots 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 (2018-2027)
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
Chapter 5. Global AI Robots Market, by Offering
5.1. Market Snapshot
5.2. Global AI Robots Market by Offering, Performance – Potential Analysis
5.3. Global AI Robots Market Estimates & Forecasts by Offering 2018-2027 (USD Billion)
5.4. AI Robots Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Hardware
Chapter 6. Global AI Robots Market, by Robot Type
6.1. Market Snapshot
6.2. Global AI Robots Market by Robot Type, Performance – Potential Analysis
6.3. Global AI Robots Market Estimates & Forecasts by Robot Type 2018-2027 (USD Billion)
6.4. AI Robots Market, Sub Segment Analysis
6.4.1. Service Robots
6.4.2. Industrial Robots
Chapter 7. Global AI Robots Market, by Technology
7.1. Market Snapshot
7.2. Global AI Robots Market by Technology, Performance – Potential Analysis
7.3. Global AI Robots Market Estimates & Forecasts by Technology 2018-2027 (USD Billion)
7.4. AI Robots Market, Sub Segment Analysis
7.4.1. Machine Learning
7.4.2. Computer Vision
7.4.3. Context Awareness
7.4.4. Natural Language Processing
Chapter 8. Global AI Robots Market, by Deployment Mode
8.1. Market Snapshot
8.2. Global AI Robots Market by Deployment Mode
Performance – Potential Analysis
8.3. Global AI Robots Market Estimates & Forecasts by Deployment Mode
2018-2027 (USD Billion)
8.4. AI Robots Market, Sub Segment Analysis
8.4.1. Cloud
8.4.2. On-premises
Chapter 9. Global AI Robots Market, by Application
9.1. Market Snapshot
9.2. Global AI Robots Market by Application, Performance – Potential Analysis
9.3. Global AI Robots Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
9.4. AI Robots Market, Sub Segment Analysis
9.4.1. Military & Defence
9.4.2. Law Enforcement
9.4.3. Personal Assistance and Care giving
9.4.4. Security and Surveillance
9.4.5. Public Relations
9.4.6. Education and Entertainment
9.4.7. Research and Space exploration
9.4.8. Industrial
9.4.9. Agriculture
9.4.10. Healthcare Assistance
9.4.11. Stock Management
9.4.12. Others
Chapter 10. Global AI Robots Market, Regional Analysis
10.1. AI Robots Market, Regional Market Snapshot
10.2. North America AI Robots Market
10.2.1. U.S. AI Robots Market Offering breakdown estimates & forecasts, 2018-2027 Robot Type breakdown estimates & forecasts, 2018-2027 Technology breakdown estimates & forecasts, 2018-2027 Deployment Mode breakdown estimates & forecasts, 2018-2027 Application breakdown estimates & forecasts, 2018-2027
10.2.2. Canada AI Robots Market
10.3. Europe AI Robots Market Snapshot
10.3.1. U.K. AI Robots Market
10.3.2. Germany AI Robots Market
10.3.3. France AI Robots Market
10.3.4. Spain AI Robots Market
10.3.5. Italy AI Robots Market
10.3.6. Rest of Europe AI Robots Market
10.4. Asia-Pacific AI Robots Market Snapshot
10.4.1. China AI Robots Market
10.4.2. India AI Robots Market
10.4.3. Japan AI Robots Market
10.4.4. Australia AI Robots Market
10.4.5. South Korea AI Robots Market
10.4.6. Rest of Asia Pacific AI Robots Market
10.5. Latin America AI Robots Market Snapshot
10.5.1. Brazil AI Robots Market
10.5.2. Mexico AI Robots Market
10.6. Rest of The World AI Robots Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. SoftBank (Japan), Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
11.2.2. Hanson Robotics (China),
11.2.3. NVIDIA (US),
11.2.4. Intel (US),
11.2.5. Microsoft (US),
11.2.6. IBM (US),
11.2.7. Alphabet (US),
11.2.8. Harman International Industries (Samsung) (US),
11.2.9. Xilinx (US),
11.2.10. ABB (Switzerland),
11.2.11. FANUC (Japan),
11.2.12. KUKA (a subsidiary of Midea Group) (Germany),
11.2.13. Amazon (US),
11.2.14. Blue Frog Robotics (France)
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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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
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
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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