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Global Mobile Robot Market to reach USD 157 billion by 2028.

Global Mobile Robot Market Size study, by Operating Environment (Aerial, Ground and Marine), by Component (Hardware and Software), by Type (Professional Robots and Personal & Domestic Robots), by Application (Domestic, Military, Logistics and Field) and Regional Forecasts 2022-2028

Product Code: ENGE-84208008
Publish Date: 22-04-2022
Page: 200

Global Mobile Robot Market is valued at approximately USD 35.41 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 23.71% over the forecast period 2022-2028. Mobile Robots or Mobile Robotic Technology is a subfield of Robotics and Information Engineering. A mobile robot is a locomotive device capable of moving around, often without guidance and support. Hardware components such as sensors, control systems and other mechanical components are used to regulate these robots. Increasing use of Robots for personal & domestic use and rise in demand for the warehouse automation has driven the adoption of Mobile Robots across the projected period. For Instance: As per the study done by an online portal named PICK-PLACE, by 2018 45% out of 200 e-commerce companies were all set for the deployment of robots in their warehouse and delivery operations. Also, rise in demand for assistance for worldwide increasing geriatric population and development of robots with specific and advanced features is most likely to boost the overall growth of the Mobile Robot Market. However, lack of high-level interfacing and safety concerns during use can obstruct the market’s expansion over the projection period of 2022-2028.

The key regions considered for the Global Mobile Robot Market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Advancements in robotic technologies are driving market growth in North America. Whereas, Asia Pacific is also anticipated to exhibit the highest growth rate over the forecast period 2022-2028. The market is expected to grow during the projected period due to the strong consumer base and establishment of e-commerce giants like Amazon and Wal-Mart demanding warehouse automation via AGVs.

Major market players included in this report are:
Northrop Grumman
Honda Motor
Lockheed Martin
Kongsberg Maritime
Samsung Electronics

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 Operating Environment:
By Component:
By Type:
Professional Robots
Personal and Domestic Robots
By Application:

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 Mobile Robot 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. Mobile Robot Market, by Region, 2020-2028 (USD Billion)
1.2.2. Mobile Robot Market, by Operating Environment, 2020-2028 (USD Billion)
1.2.3. Mobile Robot Market, by Component, 2020-2028 (USD Billion)
1.2.4. Mobile Robot Market, by Type, 2020-2028 (USD Billion)
1.2.5. Mobile Robot Market, by Application, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Mobile Robot 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 Mobile Robot Market Dynamics
3.1. Mobile Robot Market Impact Analysis (2020-2028)
3.1.1. Market Drivers Increasing use of robots for personal & domestic use Rise in demand for warehouse automation
3.1.2. Market Challenges Safety concerns during use Lack of high-level interfacing
3.1.3. Market Opportunities Development of Robots with specific and advanced features Rise in demand for assistance for worldwide increasing geriatric population

Chapter 4. Global Mobile Robot 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 (2019-2028)
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 Mobile Robot Market, by Operating Environment
6.1. Market Snapshot
6.2. Global Mobile Robot Market by Operating Environment, Performance – Potential Analysis
6.3. Global Mobile Robot Market Estimates & Forecasts by Operating Environment, 2019-2028 (USD Billion)
6.4. Mobile Robot Market, Sub Segment Analysis
6.4.1 Aerial
6.4.2 Ground
6.4.3 Marine
Chapter 7. Global Mobile Robot Market, by Component
7.1. Market Snapshot
7.2. Global Mobile Robot Market by Component, Performance – Potential Analysis
7.3. Global Mobile Robot Market Estimates & Forecasts by Component, 2019-2028 (USD Billion)
7.4. Mobile Robot Market, Sub Segment Analysis
7.4.1 Hardware
7.4.2 Software
Chapter 8. Global Mobile Robot Market, by Type
8.1. Market Snapshot
8.2. Global Mobile Robot Market by Type, Performance – Potential Analysis
8.3. Global Mobile Robot Market Estimates & Forecasts by Type, 2019-2028 (USD Billion)
8.4. Mobile Robot Market, Sub Segment Analysis
8.4.1. Professional Robots
8.4.2. Personal & Domestic Robots
Chapter 9. Global Mobile Robot Market, by Application
9.1. Market Snapshot
9.2. Global Mobile Robot Market by Application, Performance – Potential Analysis
9.3. Global Mobile Robot Market Estimates & Forecasts by Application, 2019-2028 (USD Billion)
9.4. Mobile Robot Market, Sub Segment Analysis
9.4.1 Domestic
9.4.2 Military
9.4.3 Logistics
9.4.4 Field
Chapter 10. Global Mobile Robot Market, Regional Analysis

10.1. Mobile Robot Market, Regional Market Snapshot
10.2. North America Mobile Robot Market
10.2.1. U.S. Mobile Robot Market Operating Environment breakdown estimates & forecasts, 2019-2028 Component breakdown estimates & forecasts, 2019-2028 Type breakdown estimates & forecasts, 2019-2028 Application breakdown estimates & forecasts, 2019-2028
10.2.2. Canada Mobile Robot Market
10.3. Europe Mobile Robot Market Snapshot
10.3.1. U.K. Mobile Robot Market
10.3.2. Germany Mobile Robot Market
10.3.3. France Mobile Robot Market
10.3.4. Spain Mobile Robot Market
10.3.5. Italy Mobile Robot Market
10.3.6. Rest of Europe Mobile Robot Market
10.4. Asia-Pacific Mobile Robot Market Snapshot
10.4.1. China Mobile Robot Market
10.4.2. India Mobile Robot Market
10.4.3. Japan Mobile Robot Market
10.4.4. Australia Mobile Robot Market
10.4.5. South Korea Mobile Robot Market
10.4.6. Rest of Asia Pacific Mobile Robot Market
10.5. Latin America Mobile Robot Market Snapshot
10.5.1. Brazil Mobile Robot Market
10.5.2. Mexico Mobile Robot Market
10.6. Rest of The World Mobile Robot Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1 Parrot Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments

11.2.2 Northrop Grumman
11.2.3 Honda Motor
11.2.4 Softbank
11.2.5 Irobot
11.2.6 DJI
11.2.7 Lockheed Martin
11.2.8 Kongsberg Maritime
11.2.9 Kuka
11.2.10 Samsung Electronics

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

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
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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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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