QY Research Inc. (Global Market Report Research Publisher) announces the release of 2024 latest report “Agricultural Picking Robot- Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030”. Based on current situation and impact historical analysis (2019-2023) and forecast calculations (2024-2030), this report provides a comprehensive analysis of the global Wire Drawing Dies market, including market size, share, demand, industry development status, and forecasts for the next few years.




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Agricultural Picking Robot Market Summary

Definition

Agricultural picking robots are an important breakthrough in modern agricultural technology. They integrate advanced technologies such as machine vision, image recognition, positioning navigation, and robotic arm control, and are specifically used for picking crop fruits. Agricultural picking robots mainly include four systems: walking system, visual system, control system, and execution system. These systems of agricultural picking robots work together to achieve automatic recognition, precise positioning, and efficient picking of fruits. They can greatly reduce the labor intensity of farmers, improve picking efficiency, and reduce labor costs. And to a certain extent, reduce the loss of fruits. Agricultural picking robots have broad application prospects. They are not only suitable for orchards and vegetable fields, but also can be used accurately in greenhouses and other environments. With technological progress and cost reduction, agricultural picking robots are expected to be used in a wider range of agricultural fields, helping agricultural modernization and sustainable development.



Market drivers:

The continuous progress of technological innovation in the fields of sensor technology, artificial intelligence (AI) and machine vision has laid a solid technical foundation for the research and development of agricultural picking robots. The continuous advancement of these cutting-edge technologies not only significantly improves the robot's operating performance and efficiency, but also greatly enhances its precise operation and adaptability in changing agricultural environments.

The state has introduced relevant policies to promote agricultural technological innovation and the research and development and practical application of intelligent agricultural equipment, creating a good policy environment for the development of agricultural picking robots. Modern agriculture has an urgent need for efficient, precise, and intelligent production models. As a representative of intelligent agricultural equipment, agricultural picking robots can greatly improve the intelligence level of agricultural production and promote the process of agricultural modernization.

As aging becomes more common around the world, the proportion of the working population in many countries continues to decline, while the proportion of the elderly population continues to increase. This change in demographic structure has led to a tight labor market, especially in the agricultural sector, with young workers tending to migrate to cities in search of better employment and living conditions. This has led to a reduction in the number of agricultural laborers, especially during the picking season, when labor shortages are particularly acute. As an important part of modern agricultural equipment, agricultural picking robots have multiple advantages such as replacing human labor, improving picking efficiency, and reducing labor intensity. These robots can use advanced sensor technology, machine vision and artificial intelligence algorithms to accurately identify and locate crops to achieve efficient and precise picking operations. Agricultural picking robots can replace human labor, improve picking efficiency, and alleviate labor shortages.

Market Constraints:

Due to the high R&D and manufacturing costs, the market price of agricultural picking robots is high, which constitutes a major financial burden for many farmers and agricultural enterprises. Especially for small farmers with limited resources, they often cannot afford such expensive initial investment, which has become a key factor hindering the widespread popularization and application of agricultural picking robots. Due to these economic constraints, even if these farmers recognize the efficiency improvement and cost-saving potential brought by robotic technology, it is difficult to convert it into actual productivity.

The environmental conditions in some agricultural areas are complex, such as dense vegetation and irregular terrain, which pose severe challenges to the autonomous navigation and precise operation of agricultural harvesting robots. In order to ensure that robots can still perform tasks efficiently and accurately in such a diverse environment, it is necessary to continuously innovate and optimize the technology to adapt to the special requirements of these complex environments.

There are significant regional differences in agricultural needs. The types of crops, growth environments, and harvesting requirements in different regions are different, which puts forward personalized requirements for the design and application of agricultural harvesting robots. Therefore, a single, standardized harvesting robot solution is often difficult to fully adapt to the diverse agricultural needs around the world, which to a certain extent limits its widespread promotion and application around the world.

In order to ensure that agricultural harvesting robots can continue to serve agricultural production stably, farmers need to master certain maintenance and repair skills. However, the maintenance and service system of agricultural harvesting robots is not yet perfect.



According to the new market research report “Global Agricultural Picking Robot Market Report 2024-2030”, published by QYResearch, the global Agricultural Picking Robot market size is projected to reach USD 82.16 billion by 2030, at a CAGR of 13.4% during the forecast period.



According to QYResearch Top Players Research Center, the global key manufacturers of Agricultural Picking Robot include Advanced Farm Technologies, Dogtooth Technologies, etc. In 2023, the global top three players had a share approximately 2.0% in terms of revenue.





In terms of product type, currently Multi-arm Robot is the largest segment, hold a share of 79.4%.



In terms of product application, currently Commercial Use is the largest segment, hold a share of 96.3%.









The report provides a detailed analysis of the market size, growth potential, and key trends for each segment. Through detailed analysis, industry players can identify profit opportunities, develop strategies for specific customer segments, and allocate resources effectively.



The Agricultural Picking Robot market is segmented as below:

By Company

Agrobot
Dogtooth Technologies
FF Robotics
Harvest Croo
Octinion
Tortuga AgTech
Metomotion
Traptic
Advanced Farm Technologies
Suzhou Botian Automation Technology Co., Ltd.
Nanjing Xiyue Intelligent Technology Co., Ltd.
Hangzhou Qogori Tech Co.,Ltd.(K2 Tech)
Qingdao Wuniu Intelligent Technology Co., Ltd.
Shanghai Yikun Electrical Engineering Co., Ltd.
Robot Plus Plus (Hefei) Co., Ltd.



Segment by Type

Wheeled
Crawler
Others



Segment by Application

Farmland
Orchard
Greenhouse



Each chapter of the report provides detailed information for readers to further understand the Agricultural Picking Robot market:

Chapter 1: Introduces the report scope of the Agricultural Picking Robot report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry. (2019-2030)

Chapter 2: Detailed analysis of Agricultural Picking Robot manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc. (2019-2024)

Chapter 3: Provides the analysis of various Agricultural Picking Robot market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments. (2019-2030)

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