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The autonomous crop management market size is forecast to increase by USD 5.76 billion, at a CAGR of 10.45% between 2023 and 2028. The market growth analysis depends on several factors such as the growing focus on increasing productivity and efficiency in the agriculture sector, the shortage of workers on farms, and the increasing focus on smart farming.
The report includes a comprehensive outlook on the Market , offering forecasts for the industry segmented by Component, which comprises hardware, software, and services. Additionally, it categorizes Deployment into on-premises and cloud-based, and covers Regions, including North America, Europe, APAC, South America, and Middle East and Africa. The market report provides market size, historical data spanning from 2018 to 2022, and future projections, all presented in terms of value in USD billion for each of the mentioned segments.
market Forecast 2024-2028
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Our researchers studied the market research and growth data for years, with 2023 as the base year and 2023 as the estimated year, and presented the key drivers, trends, and challenges for the market.
Farm labor is one of the main inputs and cost centers in the farming system. Nevertheless, the shortage of workers on farms due to low wages and the unavailability of migrant work visas in the US and the EU have negatively impacted the agricultural sector. A farmer only receives 7.6 cents for every dollar spent on food, according to the US Department of Agriculture. The number of farm laborers has also decreased due to a decline in interest in the field. Several reasons, such as unstable prices, high real estate, and land expenses, and high initial machinery investment costs, are causing fewer new farmers to replace older farm operators when they reach retirement age.
Moreover, many farmers globally are trying to bring technological innovation to farms before farms run out of low-wage immigrant workers, thereby driving the demand for autonomous crop management. For example, robot harvesting vehicles are widely being tested in many countries in North America and Europe to harvest crops and replace labor-intensive tasks. Hence, the shortage of workers on farms will drive the adoption solutions and, in turn, will fuel the growth of the market during the forecast period.
Crop management, which involves monitoring crops and tracking their growth, catching weeds and pests, and even spreading fertilizer and pesticides, can be done autonomously with the help of robots. Robots are equipped with specialized tools, accessories, and arms and hands to perform tasks with accuracy. They harvest the crops by utilizing an automated harvesting system efficiently and effectively. Furthermore, mobile robots help in maintaining humidity in the soil and crops. Automated controllers in robots help farmers maintain their crops and protect the crops from insects.
Moreover, robots can work efficiently over a longer period and give accurate responses. Robots can help in the status detection of water, production level, crop development, and composition of crops. They also enable precise control of sowing and harvesting applications in agricultural fields. Consequently, smart farms are increasingly making use of advanced robots for controlling several process variables in agriculture. Hence, the rising deployment of robots in agriculture will boost the demand for autonomous crop management and the market during the forecast period.
As technology develops, cybersecurity problems for autonomous farming become more serious. Farmers that begin to invest in robotics and self-driving technology face a risk of identity theft, data privacy, and communication security issues. Farmers should even be aware of the possibility of malicious code injection and denial of service attacks, in addition to the hacking of farming equipment. Troubles have also been raised over the possible danger of unwanted access to farm networks and the security of cloud-based programs used to handle farm data.
Additionally, critical infrastructure has been the target of an increasing number of cyberattack incidents; the Department of Homeland Security (DHS) and the Federal Bureau of Investigation (FBI) both issued reports warning the public regarding the importance of cyberattacks that specifically target agricultural infrastructure in 2020. Therefore, cybersecurity issues in autonomous crop management will inhibit its adoption and, in turn, will impede the growth of the market in focus during the forecast period.
The hardware segment will account for a major share of the market's growth during the forecast period.? Hardware, including robots, sensors, automated steering systems, and GPS, empowers farmers with advanced field insights. The adoption of automation devices like drones, irrigation controllers, and yield monitors is driving the global growth of autonomous crop management.
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The hardware segment was valued at USD 4.20 billion in 2018. Robots, combining articulated and mobile capabilities, handle tasks such as weed control, planting, harvesting, and soil analysis. Sensors optimize yield by monitoring soil moisture and nutrient levels, while automated steering systems reduce human errors in driving tasks. GPS, integrated with autonomous tractors, enables obstacle-free navigation. This hardware enhances farming efficiency, exemplified by seed-planting robots, propelling the growth of the global market during the forecast period.
Based on deployment, the market has been segmented into on-premises and cloud-based. The on-premises segment will account for the largest share of this segment. On-premises deployment involves farmers procuring hardware and software with the necessary infrastructure, offering enhanced data security. Despite advantages like control and customization, high deployment costs limit its adoption. While considered secure, the segment's market share is anticipated to decline due to the rising preference for cloud-based solutions. Despite challenges, the growing focus on improving yields, reducing costs, and enhancing safety is expected to positively impact the on-premises autonomous crop management segment and the market during the forecast period.
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North America is estimated to contribute 43% to the growth by 2028. Technavio's analysts have provided extensive insight into the market forecasting, detailing the regional trends and drivers influencing the market's trajectory throughout the forecast period. North America has consistently held the top position in the global market and is poised to maintain its dominance. Increased government initiatives, particularly by the National Institute of Food and Agriculture (NIFA) in the US, have fueled awareness and adoption of modern agriculture technologies.
In addition, the Canadian government supports precision agriculture through programs like AgriInnovate, providing financial aid for sustainable and competitive agribusiness initiatives. The region's growth is further driven by the rising use of cloud-based technology, increasing adoption of smart farming techniques, and the growing demand for food, ensuring a robust future for the market. Hence, such factors are expected to drive market growth in this region during the forecast period.
Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.
We also have detailed analyses of the market’s competitive landscape and offer information on 20 market companies, including:
Agrivi d.o.o., Agvance, Agworld Pty Ltd., Cisco Systems Inc., CNH Industrial NV, Conservis Corp., Corteva Inc., Cropin Technology Solutions Pvt. Ltd., CropX Technologies Ltd., DRAGONFLY IT, International Business Machines Corp., Microsoft Corp., Oracle Corp., RELX Plc, SAP SE, Shivrai Technologies Pvt. Ltd., Topcon Corp., Trimble Inc., and Valmont Industries Inc.
Technavio market forecast the an in-depth analysis of the market and its players through combined qualitative and quantitative data. The analysis classifies companies into categories based on their business approaches, including pure-play, category-focused, industry-focused, and diversified. Companies are specially categorized into dominant, leading, strong, tentative, and weak, based on their quantitative data analysis.
The market analysis and report forecasts market growth by revenue at global, regional & country levels and provides an analysis of the latest trends and growth opportunities from 2018 to 2028.
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Market Scope |
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Report Coverage |
Details |
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Page number |
178 |
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Base year |
2023 |
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Historic period |
2018-2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 10.45% |
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Market Growth 2024-2028 |
USD 5.76 billion |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
9.95 |
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Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
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Performing market contribution |
North America at 43% |
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Key countries |
US, Australia, China, Japan, and Germany |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
Accenture Plc, Agrivi d.o.o., Agvance, Agworld Pty Ltd., Cisco Systems Inc., CNH Industrial NV, Conservis Corp., Corteva Inc., Cropin Technology Solutions Pvt. Ltd., CropX Technologies Ltd., DRAGONFLY IT, International Business Machines Corp., Microsoft Corp., Oracle Corp., RELX Plc, SAP SE, Shivrai Technologies Pvt. Ltd., Topcon Corp., Trimble Inc., and Valmont Industries Inc. |
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Market dynamics |
Parent market analysis, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and Market condition analysis for the forecast period. |
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Customization purview |
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized. |
We can help! Our analysts can customize this market research report to meet your requirements. Get in touch
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Deployment
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
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