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Global Agricultural Robots Market is valued approximately at USD 11.57 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 20.6% over the forecast period 2023-2030. Agricultural robots are specialized machines equipped with advanced technologies such as AI and sensors to automate tasks in farming. They encompass various types including harvesting robots for picking crops, weeding robots for removing weeds, planting robots for precise seed placement, and monitoring robots for assessing soil and crop conditions. These robots aim to enhance efficiency, productivity, and sustainability in agriculture by reducing labor costs, minimizing environmental impact, and improving crop yields. According to United Nations projections, the global population is expected to reach 8.6 billion by 2030 and 9.8 billion by 2050, placing immense pressure on traditional food production methods to ensure food security. Agricultural robots and drones are emerging as transformative technologies, offering precision and optimization capabilities that revolutionize farming practices. Moreover, with fewer farm laborers due to population growth and urban migration, agricultural robots are increasingly adopted to automate tasks and reduce reliance on manual labor. The agricultural robot’s market is positioned for substantial growth as the demand for cost-effective and efficient labor solutions escalates, coupled with the increase in IoT devices connected with farm management to analyze data on various factors.
In addition, the rise in adoption of aerial data collection tools in agriculture and enhanced Precision farming through drone technology is exhibiting a positive influence on the market growth across the globe. Drones, also known as Unmanned Aerial Vehicles (UAVs), are increasingly employed across various agricultural applications including soil and crop monitoring, spraying, planting, irrigation, and field surveillance. Modern farmers are leveraging data-driven approaches to optimize fertilizer and pesticide usage, thereby enhancing crop yields. With a focus on efficiency, farmers utilize drones for tasks such as crop spraying, monitoring, irrigation management, and livestock health assessments. By analyzing factors like weather conditions, soil fertility, and nutrient levels, farmers efficiently plan field activities, including timely crop harvesting, particularly for seasonal and specialty crops. This trend presents substantial growth opportunities for UAVs within the agricultural sector. The benefits of UAVs include enhanced operational efficiency, minimized delays, optimal resource allocation, and lower ownership costs, driving significant market demand among end users. in 2022, For instance the Indian government proposed to provide 100% subsidiary to state agriculture colleges, farm machinery training and testing institutes, and ICAR institutes. Thus, these aforementioned factors are propelling the growth of Agricultural Robots Market during the estimated period. Moreover, the surge in use of electrification in agricultural robots, as well as growing use of agricultural-based software via smartphones present various lucrative opportunities over the forecast years. However, the high cost of automation for small farms and the lack of standardization of agricultural robot technologies are challenging the market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Agricultural Robots Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the rise in adoption of advanced technology in response to labor shortages and high labor costs, coupled with the region’s elevated per-capita disposable income. Moreover, government support for the implementation of agricultural robots, such as unmanned aerial vehicles and driverless tractors, as part of smart farming initiatives, is further propelling market expansion. Also, players within this market are making substantial investments in the development of cost-effective and highly efficient robots aimed at enhancing yields while minimizing costs for farmers. For instance, in 2021, Santa Monica-based Future Acres unveiled its inaugural robot, Carry, designed specifically for grape picking. Utilizing AI technology, Carry collaborates seamlessly with human workers, addressing labor shortages and introducing tailored solutions to meet the evolving needs of farmers. This concerted effort to address labor challenges and introduce innovative products underscores the significant growth trajectory of the agricultural robotics market in North America. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The region faces issues of labor shortages and increasing wage costs, making investments in robotics an appealing prospect for farmers seeking more cost-effective and sustainable solutions. Robust government backing, coupled with the diverse agricultural landscape are significantly propelling the demand for agriculture robotic across the region.
Major market players included in this report are:
Blue River Technology
Harvest Automation
AGCO Corporation
Lely Industries
Naio Technologies
Precision Hawk
Deere & Company
AG Eagle LLC
Agribotix LLC
IBM Corporation
Recent Developments in the Market:
Ø In June 2022, Small Robot Company (SRC), a pioneering British startup in agricultural robotics, unveiled its ambitious initiative to deploy its cutting-edge robots across approximately 50 farms throughout the upcoming 2022-2023 growing season.
Ø In February 2022, Verdant Robotics introduced its innovative robot-as-a-service (RaaS) model, aimed at broadening access for specialty crop farmers, enabling them to adopt more sustainable and lucrative cultivation methods to meet their evolving needs.
Ø In January 2022, John Deere showcased a fully autonomous tractor, primed for widespread production. The system integrates a Deere 8R tractor, a TruSet-enabled chisel plow, an advanced GPS navigation system, and other state-of-the-art technologies.
Global Agricultural Robots 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 – Type, Offering, Application, 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 Type:
Driverless Tractors
UAVs
Dairy Robots
Material Management
By Offering:
Hardware
Software
Services
By Application:
Planting & Seeding Management
Spraying Management
Milking
Monitoring & Surveillance
Harvest Management
Livestock Monitoring
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
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. Agricultural Robots Market, by region, 2020-2030 (USD Billion)
1.2.2. Agricultural Robots Market, by Type, 2020-2030 (USD Billion)
1.2.3. Agricultural Robots Market, by Offering, 2020-2030 (USD Billion)
1.2.4. Agricultural Robots Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Agricultural Robots 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 Agricultural Robots Market Dynamics
3.1. Agricultural Robots Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing IoT devices connected with farm management to analyse data
3.1.1.2. Rising adoption of aerial data collection tools
3.1.2. Market Challenges
3.1.2.1. High cost of automation for small farms
3.1.2.2. Lack of standardization of agricultural robot technologies
3.1.3. Market Opportunities
3.1.3.1. Surge in use of electrification in agricultural robots
3.1.3.2. Growing use of agricultural-based software via smartphones
Chapter 4. Global Agricultural 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
4.2. 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 Agricultural Robots Market, by Type
5.1. Market Snapshot
5.2. Global Agricultural Robots Market by Type, Performance – Potential Analysis
5.3. Global Agricultural Robots Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Agricultural Robots Market, Sub Segment Analysis
5.4.1. Driverless Tractors
5.4.2. UAVs
5.4.3. Dairy Robots
5.4.4. Material Management
Chapter 6. Global Agricultural Robots Market, by Offering
6.1. Market Snapshot
6.2. Global Agricultural Robots Market by Offering, Performance – Potential Analysis
6.3. Global Agricultural Robots Market Estimates & Forecasts by Offering 2020-2030 (USD Billion)
6.4. Agricultural Robots Market, Sub Segment Analysis
6.4.1. Hardware
6.4.2. Software
6.4.3. Services
Chapter 7. Global Agricultural Robots Market, by Application
7.1. Market Snapshot
7.2. Global Agricultural Robots Market by Application, Performance – Potential Analysis
7.3. Global Agricultural Robots Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
7.4. Agricultural Robots Market, Sub Segment Analysis
7.4.1. Planting & Seeding Management
7.4.2. Spraying Management
7.4.3. Milking
7.4.4. Monitoring & Surveillance
7.4.5. Harvest Management
7.4.6. Livestock Monitoring
7.4.7. Others
Chapter 8. Global Agricultural Robots Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Agricultural Robots Market, Regional Market Snapshot
8.4. North America Agricultural Robots Market
8.4.1. U.S. Agricultural Robots Market
8.4.1.1. Type breakdown estimates & forecasts, 2020-2030
8.4.1.2. Offering breakdown estimates & forecasts, 2020-2030
8.4.1.3. Application breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Agricultural Robots Market
8.5. Europe Agricultural Robots Market Snapshot
8.5.1. U.K. Agricultural Robots Market
8.5.2. Germany Agricultural Robots Market
8.5.3. France Agricultural Robots Market
8.5.4. Spain Agricultural Robots Market
8.5.5. Italy Agricultural Robots Market
8.5.6. Rest of Europe Agricultural Robots Market
8.6. Asia-Pacific Agricultural Robots Market Snapshot
8.6.1. China Agricultural Robots Market
8.6.2. India Agricultural Robots Market
8.6.3. Japan Agricultural Robots Market
8.6.4. Australia Agricultural Robots Market
8.6.5. South Korea Agricultural Robots Market
8.6.6. Rest of Asia Pacific Agricultural Robots Market
8.7. Latin America Agricultural Robots Market Snapshot
8.7.1. Brazil Agricultural Robots Market
8.7.2. Mexico Agricultural Robots Market
8.8. Middle East & Africa Agricultural Robots Market
8.8.1. Saudi Arabia Agricultural Robots Market
8.8.2. South Africa Agricultural Robots Market
8.8.3. Rest of Middle East & Africa Agricultural Robots 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. Blue River Technology
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. Harvest Automation
9.3.3. AGCO Corporation
9.3.4. Lely Industries
9.3.5. Naio Technologies
9.3.6. Precision Hawk
9.3.7. Deere & Company
9.3.8. AG Eagle LLC
9.3.9. Agribotix LLC
9.3.10. IBM Corporation
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.
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:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
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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