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Global Robotic Lawn Mowers Market to reach USD 16.29 billion by the end of 2030

Global Robotic Lawn Mowers Market Size study & Forecast, by Battery Capacity (Up to 20V, 20V to 30V) by Sales Channel (Retail Stores/Offline, Online), by End-use (Residential, Commercial) and Regional Analysis, 2023-2030

Product Code: ECE-69549298
Publish Date: 20-02-2024
Page: 200

Global Robotic Lawn Mowers Market is valued approximately at USD 7.12 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 10.9% over the forecast period 2023-2030. Robotic lawn mowers are autonomous, self-propelled devices designed to mow lawns without human intervention. These innovative machines utilize advanced sensor technology, artificial intelligence and navigation systems to efficiently navigate and cut grass in a systematic and organized manner. Equipped with sensors such as proximity detectors and obstacle-avoidance technology, robotic lawn mowers can maneuver around obstacles, detect boundaries, and adjust their mowing patterns accordingly. The Robotic Lawn Mowers market is expanding because of factors such as rising urbanization, a rise in the consumer interest in gardening activities across the globe and rising penetration of smart homes.

According to a 2021 National Gardening Association research, the COVID-19 pandemic caused 42% of gardeners in the US to expand their gardening efforts. According to the same poll, 59% of gardeners want to maintain their current level of engagement after the pandemic, while 30% plan to expand their gardening efforts. The Axiom 2021 U.S. Gardening Insights survey, which also discovered that gardeners spent 42% more time in the garden in 2020 compared to previous years, supported the same findings. When compared to pre-pandemic levels, 77% of UK citizens reported in September 2020 that they had continued or expanded their gardening activity. Thus, rising consumer interest in gardening activities is driving the market growth. In addition, rising product innovation activities and rising adoption of sustainable practices are some factors driving the market growth. However, the high cost of Robotic Lawn Mowers stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Robotic Lawn Mowers Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Europe dominated the market in 2022 with largest market share owing to factors such as increasing emphasis on environmental sustainability in European countries, favorable government incentives, driven by stringent environmental regulations and a growing eco-conscious consumer base. North America is expected to grow significantly during the forecast period, owing to factors such as rising urbanization, rising smart home penetration, rising awareness and emphasis on environmental sustainability in the region.

Major market player included in this report are:
Husqvarna Group
Robert Bosch GmbH
Deere & Company
Hitachi, Ltd.
The Toro Co.
Andreas Stihl Ag & Co. Kg

Recent Developments in the Market:
Ø In June 2022, Husqvarna initiates a soft launch for Ceora, its latest self-propelled lawnmower. This battery-powered mower is equipped with connectivity features, seamlessly integrating with Husqvarna’s Automower Connect app. Ceora employs triangulated communication signals to navigate, establishing a reliable connection with its reference station for precise and efficient lawn maintenance.
Ø In September 2021, Segway-Ninebot made its foray into the autonomous lawn mower market with Navimow, a cutting-edge robotic gardening solution that surpasses conventional models by utilizing GPS for precise garden navigation. Noteworthy features of Navimow include low noise levels and user-friendly cleaning. The product is set to be available in multiple variants, catering to lawns of diverse sizes.
Global Robotic Lawn Mowers Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Battery Capacity, Sales Channel, End-use, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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 Battery Capacity:
Up to 20V
20V to 30V
By Sales Channel:
Retail Stores/Offline
By End-use
By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Robotic Lawn Mowers Market, by region, 2020-2030 (USD Billion)
1.2.2. Robotic Lawn Mowers Market, by Battery Capacity, 2020-2030 (USD Billion)
1.2.3. Robotic Lawn Mowers Market, by Sales Channel, 2020-2030 (USD Billion)
1.2.4. Robotic Lawn Mowers Market, by End-use, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Robotic Lawn Mowers Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Robotic Lawn Mowers Market Dynamics
3.1. Robotic Lawn Mowers Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising urbanization Rise in consumer interest in gardening activities across the globe Rising penetration of smart homes
3.1.2. Market Challenges High Cost of Robotic Lawn Mowers Lack of Standardization
3.1.3. Market Opportunities Rising product innovation activities Rising adoption of sustainable practices
Chapter 4. Global Robotic Lawn Mowers 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Robotic Lawn Mowers Market, by Battery Capacity
5.1. Market Snapshot
5.2. Global Robotic Lawn Mowers Market by Battery Capacity, Performance – Potential Analysis
5.3. Global Robotic Lawn Mowers Market Estimates & Forecasts by Battery Capacity 2020-2030 (USD Billion)
5.4. Robotic Lawn Mowers Market, Sub Segment Analysis
5.4.1. Up to 20V
5.4.2. 20V to 30V
Chapter 6. Global Robotic Lawn Mowers Market, by Sales Channel
6.1. Market Snapshot
6.2. Global Robotic Lawn Mowers Market by Sales Channel, Performance – Potential Analysis
6.3. Global Robotic Lawn Mowers Market Estimates & Forecasts by Sales Channel 2020-2030 (USD Billion)
6.4. Robotic Lawn Mowers Market, Sub Segment Analysis
6.4.1. Retail Stores/Offline
6.4.2. Online
Chapter 7. Global Robotic Lawn Mowers Market, by End-use
7.1. Market Snapshot
7.2. Global Robotic Lawn Mowers Market by End-use, Performance – Potential Analysis
7.3. Global Robotic Lawn Mowers Market Estimates & Forecasts by End-use 2020-2030 (USD Billion)
7.4. Robotic Lawn Mowers Market, Sub Segment Analysis
7.4.1. Residential
7.4.2. Commercial
Chapter 8. Global Robotic Lawn Mowers Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Robotic Lawn Mowers Market, Regional Market Snapshot
8.4. North America Robotic Lawn Mowers Market
8.4.1. U.S. Robotic Lawn Mowers Market Battery Capacity breakdown estimates & forecasts, 2020-2030 Sales Channel breakdown estimates & forecasts, 2020-2030 End-use breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Robotic Lawn Mowers Market
8.5. Europe Robotic Lawn Mowers Market Snapshot
8.5.1. U.K. Robotic Lawn Mowers Market
8.5.2. Germany Robotic Lawn Mowers Market
8.5.3. France Robotic Lawn Mowers Market
8.5.4. Spain Robotic Lawn Mowers Market
8.5.5. Italy Robotic Lawn Mowers Market
8.5.6. Rest of Europe Robotic Lawn Mowers Market
8.6. Asia-Pacific Robotic Lawn Mowers Market Snapshot
8.6.1. China Robotic Lawn Mowers Market
8.6.2. India Robotic Lawn Mowers Market
8.6.3. Japan Robotic Lawn Mowers Market
8.6.4. Australia Robotic Lawn Mowers Market
8.6.5. South Korea Robotic Lawn Mowers Market
8.6.6. Rest of Asia Pacific Robotic Lawn Mowers Market
8.7. Latin America Robotic Lawn Mowers Market Snapshot
8.7.1. Brazil Robotic Lawn Mowers Market
8.7.2. Mexico Robotic Lawn Mowers Market
8.8. Middle East & Africa Robotic Lawn Mowers Market
8.8.1. Saudi Arabia Robotic Lawn Mowers Market
8.8.2. South Africa Robotic Lawn Mowers Market
8.8.3. Rest of Middle East & Africa Robotic Lawn Mowers Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Husqvarna Group Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Robert Bosch GmbH
9.3.3. Deere & Company
9.3.4. STIGA S.p.A.
9.3.6. Hitachi, Ltd.
9.3.7. LawnMaster
9.3.8. The Toro Co.
9.3.10. Andreas Stihl Ag & Co. Kg
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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.
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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.
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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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