Global Agricultural Picking Robot Supply, Demand and Key Producers, 2023-2029

Global Agricultural Picking Robot Supply, Demand and Key Producers, 2023-2029


The global Agricultural Picking Robot market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

The driving forces for the development of agricultural picking robots mainly include the following aspects:

Increased labor costs: Agricultural picking operations often require a large amount of manual labor and often face labor shortages. As labor costs increase, the use of agricultural picking robots can reduce labor costs in the picking process and improve production efficiency.

Improve production efficiency and quality: The use of agricultural picking robots can greatly improve picking efficiency and quality. The robot's precise operation can avoid human errors. At the same time, the robot can also perform 24-hour uninterrupted picking work, which greatly improves production efficiency. In addition, the use of robots can also reduce damage to fruits and vegetables and improve product quality.

Meet food safety and hygiene requirements: The use of agricultural picking robots can avoid artificial contamination and cross-infection and better meet food safety and hygiene requirements. At the same time, robot picking can also reduce damage to plants during picking, reduce the amount of pesticides used, and help protect the environment and ecology.

Technological progress: With the continuous advancement of robotics, sensor technology, image recognition technology and other technologies, the research and development and application of agricultural picking robots are becoming more and more mature. Technological progress has provided strong support for the development of agricultural picking robots.

Increased market demand: As consumers continue to pay more attention to the quality and food safety of agricultural products, the market demand for agricultural picking robots is also increasing. Consumers are more likely to choose agricultural products picked by agricultural picking robots because they believe that such agricultural products are safer and healthier.

This report studies the global Agricultural Picking Robot production, demand, key manufacturers, and key regions.

This report is a detailed and comprehensive analysis of the world market for Agricultural Picking Robot, and provides market size (US$ million) and Year-over-Year (YoY) Growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Agricultural Picking Robot that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Agricultural Picking Robot total production and demand, 2018-2029, (K Units)

Global Agricultural Picking Robot total production value, 2018-2029, (USD Million)

Global Agricultural Picking Robot production by region & country, production, value, CAGR, 2018-2029, (USD Million) & (K Units)

Global Agricultural Picking Robot consumption by region & country, CAGR, 2018-2029 & (K Units)

U.S. VS China: Agricultural Picking Robot domestic production, consumption, key domestic manufacturers and share

Global Agricultural Picking Robot production by manufacturer, production, price, value and market share 2018-2023, (USD Million) & (K Units)

Global Agricultural Picking Robot production by Type, production, value, CAGR, 2018-2029, (USD Million) & (K Units)

Global Agricultural Picking Robot production by Application production, value, CAGR, 2018-2029, (USD Million) & (K Units).

This reports profiles key players in the global Agricultural Picking Robot market based on the following parameters – company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Agrobot, Dogtooth Technologies, FF Robotics, Harvest Croo, Octinion, Tortuga AgTech, Abundant Robotics, Panasonic Corporation and Traptic, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Agricultural Picking Robot market.

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), volume (production, consumption) & (K Units) and average price (US$/Unit) by manufacturer, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Agricultural Picking Robot Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Agricultural Picking Robot Market, Segmentation by Type
Fruit Picking Robot
Vegetable Picking Robot
Others

Global Agricultural Picking Robot Market, Segmentation by Application
Farmland
Orchard
Greenhouse

Companies Profiled:
Agrobot
Dogtooth Technologies
FF Robotics
Harvest Croo
Octinion
Tortuga AgTech
Abundant Robotics
Panasonic Corporation
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.
Shenzhen Photosynthetic Planting Co., Ltd.

Key Questions Answered

1. How big is the global Agricultural Picking Robot market?

2. What is the demand of the global Agricultural Picking Robot market?

3. What is the year over year growth of the global Agricultural Picking Robot market?

4. What is the production and production value of the global Agricultural Picking Robot market?

5. Who are the key producers in the global Agricultural Picking Robot market?


1 Supply Summary
2 Demand Summary
3 World Manufacturers Competitive Analysis
4 United States VS China VS Rest of the World
5 Market Analysis by Type
6 Market Analysis by Application
7 Company Profiles
8 Industry Chain Analysis
9 Research Findings and Conclusion
10 Appendix

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