“Agricultural Robotics Market 2022-2032,” a market research study published by IDTechEx, examines the technological and market variables affecting the burgeoning agricultural robotics sector. This research focuses on major technology (such as artificial intelligence, sensors, GPS, imaging systems, and so on) as well as applications (weeding, harvesting, monitoring, and so on).
etc.). It examines contemporary issues in the agriculture industry as a result of the COVID-19 epidemic, as well as how robots and technological advancements will revolutionize the business of agriculture, enabling ultra-precision farming, assisting in the mitigation of challenges, and ensuring long-term growth.
The report lays out a detailed roadmap of how these challenges have impacted the agriculture industry, what technologies have been widely adopted as of today, what are the most common agricultural robot application areas, and what factors cause different application areas to have varying levels of maturity and technology readiness (TRL).
This report, in particular, contains the following information:
Agricultural robots are classified into numerous sorts based on their technology and uses, according to the paper. A thorough chart was created for each kind to evaluate the technical difficulties and application value, allowing the level of development/commercialization to be determined.
Weeding and pest management, robotic seeding, fully autonomous tractors, autonomous tool carriers, platform robots, harvesting robots, drones, milking robots, and other applications are all part of the detailed application evaluation. The research describes each sector’s present state of development, technological advancements, drivers and difficulties (including technical and regulatory), and significant products from market participants. The forecast chapter estimates the market size for each application.
Technical evaluation:
A detailed technology examination of a variety of items ranging from proof-of-concept prototypes to commercially produced robots. Sensors (e.g., cameras, LiDAR, Radar, etc. ), imaging systems (e.g., hyperspectral imaging), end-effectors, AI, precision spraying, and many more technologies and components are examined in the paper. The technology evaluation provides a comprehensive perspective of what components are more typically employed in different robots, how different components work together to create functionality, and the technological hurdles that they face when they collaborate.
Market analysis:
Agricultural robots have been built for a wide variety of specialities, but they have varied levels of maturity owing to diverse business models, target crops, return on investment, and so on. This paper examines a variety of business strategies and describes the commercial issues and risks that investors face.
Company profiles:
Over 30 comprehensive company profiles based on interviews with extensive SWOT analyses, over 40 company profiles without SWOT analyses, and over 80 firms’ works listed and summarized.
Market predictions:
Granular 10-year segmented market estimates for six categories, including milking robots, weeding and seeding robots, autonomous tractors and equipment carrying robots, drones, harvesting robots, and other applications, for the years 2022-2032. Two further estimates are included in the paper, one for the total market size and the other for unit sales of autonomous tractors and implement tractors. The market estimates are largely divided by regions, allowing you to determine which region is likely to expand the fastest. In the meanwhile, several projections have been divided into application areas. The report and Excel spreadsheet clearly clarify all of our assumptions and data points.
The technological difficulties and application value of agbots determine their acceptance.
Despite the fact that the technologies vary greatly depending on the objectives, IDTechEx categorizes them into three basic categories: autonomous mobility, direct interaction, and indirect interaction. The paper outlines how IDTechEx categorizes agricultural robots into these three categories, as well as the challenges and timelines for development within each category, and what drives farmers’ main need.
Weeding and harvesting robots are two examples. Demand is one of the most important variables influencing the popularity of these two robots. Harvesting is often only needed for a few months in agriculture, thus farmers are less eager to spend a lot of money on an equipment that will only be utilized for a few months. Weeding machines, on the other hand, are far more common because weeding is required all year. As a result, weeding robots are far more widely available than harvesting robots.
By 2032, the global agricultural robotics industry is expected to reach $7.88 billion.
By 2032, the global market for agricultural robots is expected to reach $7.88 billion, representing a 13.09 percent CAGR over 2022. Europe will continue to be the largest market by 2032, followed by North America, APAC, South America, and the Middle East and Africa. North America and APAC are predicted to expand the fastest in the future decade, while Europe will grow the slowest.
