Stratistics MRC에 따르면, 세계 스마트 특수 작물 농업 시장은 2025년에 87억 1,000만 달러로 예측 기간 동안 13.01%의 CAGR로 성장하여 2032년에는 205억 달러에 달할 것으로 예측됩니다.
과일, 채소, 견과류, 견과류, 허브 등 고부가가치 비상품 작물의 생산을 향상시키기 위해 첨단 기술과 데이터 기반 방법을 사용하는 것을 "스마트 특수 작물 농업"이라고 합니다. 이 전략은 자동화, 실시간 모니터링 기술, 정밀 농업을 결합하여 농업 생산량, 품질, 자원 효율을 높이는 전략입니다. 생산량은 작물 건강 상태 모니터링, 표적 관수, 토양 감지 등의 방법을 통해 극대화됩니다. 궁극적으로 스마트 특수 작물 농업은 지속가능한 관행을 보장하고, 투입물 낭비를 최소화하며, 의사결정을 개선하는 혁신을 활용하여 수익성을 높이고, 프리미엄급 고품질 제품에 대한 소비자 수요를 충족시킬 수 있습니다.
고품질 특수작물에 대한 수요 증가
소비자들이 더 신선하고 유기농이며 영양가 높은 농산물을 찾는 가운데, 농부들은 첨단 기술을 활용해야 하는 상황에 직면해 있습니다. 드론, AI 분석, 사물인터넷 센서 등은 작물의 건강 상태를 추적하고 생산량을 극대화하는 데 도움이 되는 스마트 농업 기술의 한 예입니다. 이러한 개선을 통해 작물의 품질이 향상되고, 시비, 관개, 해충 관리의 정확성이 보장됩니다. 지능형 농업 기술에 대한 투자는 고급 작물을 통한 수익성 향상으로 더욱 촉진될 것입니다. 그 결과, 소비자의 요구와 환경 목표의 변화에 대응하기 위해 시장은 계속 성장하고 있습니다.
높은 초기 투자 및 운영 비용
스마트 농업을 위한 센서, 자동화 시스템, 드론, 데이터 분석 도구의 설치에는 많은 자금이 필요합니다. 이러한 시스템에는 높은 유지보수 비용과 업그레이드 비용이 수반되는 경우가 많습니다. 이러한 첨단 기술을 도입하는 것은 중소규모의 농부들에게는 경제적으로 불가능할 수 있습니다. 특히 가난한 나라에서는 대출이나 신용의 이용이 제한되어 있어 도입이 더욱 어려워집니다. 이 때문에 시장 침투율은 여전히 낮으며, 이는 전체 산업의 성장을 저해하고 있습니다.
스마트 온실 개발
스마트 온실 구축은 최첨단 센서, IoT, AI를 이용하여 재배 조건을 모니터링하고 최적화하여 작물의 품질과 수확량을 향상시킵니다. 자동화 시스템은 인건비와 인적 오류를 줄여 운영 효율성을 향상시킵니다. 또한, 에너지와 물 절약을 옹호하고 지속가능한 농법과 일치합니다. 이국적인 채소, 베리류, 허브 등 고부가가치 특수 작물에 스마트 온실을 사용하면 수익성이 향상됩니다. 무농약 및 지역 농산물을 찾는 수요가 증가함에 따라 스마트 온실은 확장 가능하고 기술적으로 고도로 대응한 결과, 이 산업은 확대되고 있습니다.
기후변화와 예측 불가능한 날씨 패턴
불규칙한 강우, 고온, 계절의 변화로 인해 심기 및 수확 일정에 차질이 생길 수 있습니다. 이러한 불확실성은 데이터 기반 농업 시스템의 정확성과 신뢰성을 떨어뜨립니다. 예기치 못한 기상 이변은 센서와 자동화 도구의 기능을 저하시킬 수 있습니다. 또한, 기후변화와 관련된 병해충 발생의 증가는 스마트 농업 시스템에 더 많은 부담을 줍니다. 그 결과, 농가는 더 큰 위험과 비용에 노출되어 최첨단 스마트 농업 기술에 대한 투자를 억제할 수 있습니다.
COVID-19의 영향
COVID-19는 스마트 특수작물 농업 시장에 큰 혼란을 일으켜 공급망 중단, 노동력 부족, 기술 도입 지연을 초래했습니다. 봉쇄로 인해 농장에 대한 접근이 제한되어 센서, 드론, AI 기반 시스템 등 스마트 농업 도구의 도입이 지연되었습니다. 그러나 이 위기는 디지털 전환을 가속화하고 농업의 자동화 및 원격 모니터링의 필요성을 부각시켰습니다. 그 결과, 팬데믹 이후 회복 과정에서 식량 안보와 경영 효율성을 보장하기 위해 탄력적인 기술 주도형 농법에 대한 투자와 관심이 높아지고 있습니다.
예측 기간 동안 채소 부문이 가장 클 것으로 예상됩니다.
채소 분야는 재배 방법의 정확성에 대한 높은 수요로 인해 예측 기간 동안 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 스마트 기술은 관개, 영양 공급, 해충 방제를 최적화하여 더 나은 수확량과 품질을 보장하는 데 도움이 됩니다. 야채는 부패하기 쉽고 기후 변화에 민감하기 때문에 실시간 모니터링 및 자동화 시스템의 혜택을 크게 누릴 수 있습니다. 전 세계 소비 증가와 지속가능한 농법에 대한 요구는 채소 재배에서 스마트 솔루션의 채택을 더욱 촉진하고 있습니다. 결과적으로 이 분야는 기술 발전과 시장 성장 가속화에 중요한 역할을 하고 있습니다.
예측 기간 동안 수확량 모니터링 분야는 가장 높은 CAGR을 보일 것으로 예상됩니다.
예측 기간 동안 수확량 모니터링 분야는 작물 성능에 대한 실시간 데이터를 수집하기 때문에 가장 높은 성장률을 기록할 것으로 예상됩니다. 이 데이터는 생산성을 향상시키고 투입 비용을 줄이기 위한 정보에 입각한 의사결정을 내리는 데 도움이 됩니다. 첨단 센서와 GPS 기술을 통해 서로 다른 밭 구역의 수확량 변동을 정확하게 추적할 수 있습니다. 생산성이 높은 지역과 낮은 지역을 식별함으로써 농부들은 더 나은 결과를 얻기 위해 표적화된 개입을 할 수 있습니다. 궁극적으로, 수확량 모니터링은 특수 작물 재배의 효율성, 지속가능성 및 수익성을 향상시킵니다.
예측 기간 동안 아시아태평양은 고부가가치 작물에 대한 수요로 인해 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 중국, 인도, 일본, 호주와 같은 국가들은 생산성 향상, 인건비 절감, 작물 품질 향상을 위해 IoT, AI, 드론, 자동화 시스템에 투자하고 있습니다. 유리한 정부 정책, 지속가능한 농업에 대한 인식 증가, 기술 발전이 시장 확대를 가속화하고 있습니다. 이 분야는 효율적인 자원 활용을 지원하고 이 지역의 식량 안보와 수출 목표를 달성하는 데 매우 중요합니다.
예측 기간 동안 북미는 첨단 기술의 통합으로 인해 가장 높은 CAGR을 보일 것으로 예상됩니다. 농부들은 과일, 채소, 견과류와 같은 고부가가치 작물의 수확량 증가, 작물의 건강 상태 모니터링, 자원 활용 최적화를 위해 스마트 기술을 활용하고 있습니다. 미국은 강력한 기술 인프라와 정부 지원으로 시장을 선도하고 있습니다. 지속가능한 농업에 대한 수요 증가와 노동력 부족은 자동화와 스마트 농업의 채택을 더욱 가속화하고 있습니다. 농업 기술 기업과 연구기관의 협업도 이 지역의 기술 혁신에 박차를 가하고 있습니다.
According to Stratistics MRC, the Global Smart Specialty Crop Farming Market is accounted for $8.71 billion in 2025 and is expected to reach $20.50 billion by 2032 growing at a CAGR of 13.01% during the forecast period. The use of cutting-edge technologies and data-driven methods to improve the production of high-value, non-commodity crops such fruits, vegetables, nuts, and herbs are known as "smart speciality crop farming." This strategy combines automation, real-time monitoring technologies, and precision agriculture to increase agricultural output, quality, and resource efficiency. Production is maximised by methods like crop health monitoring, targeted watering, and soil sensing. In the end, Smart Speciality Crop Farming increases profitability and satisfies consumer demand for premium, high-quality product by utilising innovation to assure sustainable practices, minimise input waste, and facilitate improved decision-making.
Rising demand for high-quality specialty crops
Farmers are being forced to use cutting-edge technologies as consumers want more fresh, organic, and nutrient-dense produce. Drones, AI analytics, and Internet of Things sensors are examples of smart farming technologies that help track crop health and maximise output. Crop quality is increased by these improvements, which guarantee accuracy in fertilisation, irrigation, and pest management. Investment in intelligent farming technologies is further encouraged by higher profitability from premium crops. As a result, the market keeps growing to accommodate changing consumer demands and environmental objectives.
High initial investment and operational costs
A significant amount of money is needed to set up sensors, automation systems, drones, and data analytics tools for smart farming. High maintenance and upgrade costs are frequently associated with these systems. Adopting such sophisticated technology may prove financially unfeasible for small and medium-sized farmers. Adoption is further hampered by limited availability to financing or credit, particularly in poor nations. Because of this, market penetration is still low, which hinders the industry's overall growth.
Development of smart greenhouses
The creation of smart greenhouses monitors and optimises growing conditions using cutting-edge sensors, IoT, and AI to increase crop quality and yield. Automated systems improve operational efficiency by lowering labour expenses and human error. Additionally, they advocate for energy and water conservation, which is consistent with sustainable farming methods. Profitability is increased by using smart greenhouses for high-value speciality crops such exotic vegetables, berries and herbs. The industry is expanding as a result of smart greenhouses' scalable and technologically advanced response to the growing demand for locally grown, pesticide-free produce.
Climate change and unpredictable weather patterns
Planting and harvesting timetables are disrupted by erratic rainfall, high temperatures, and changing seasons. The precision and dependability of data-driven farming systems are diminished by these uncertain circumstances. Unexpected weather anomalies may cause sensors and automation tools to function poorly. Furthermore, climate change-related increases in pest and disease outbreaks put further burden on smart farming systems. Farmers are consequently exposed to greater risks and expenses, which deters investment in cutting-edge smart agricultural technologies.
Covid-19 Impact
The COVID-19 pandemic significantly disrupted the smart specialty crop farming market, causing supply chain interruptions, labor shortages, and delayed technology deployments. Lockdowns restricted access to farms and slowed the adoption of smart farming tools like sensors, drones, and AI-based systems. However, the crisis also accelerated digital transformation, highlighting the need for automation and remote monitoring in agriculture. As a result, post-pandemic recovery has seen increased investment and interest in resilient, tech-driven farming practices to ensure food security and operational efficiency.
The vegetables segment is expected to be the largest during the forecast period
The vegetables segment is expected to account for the largest market share during the forecast period, due to the high demand for precision in cultivation practices. Smart technologies help optimize irrigation, nutrient delivery, and pest control, ensuring better yield and quality. Vegetables, being perishable and sensitive to climatic changes, benefit greatly from real-time monitoring and automated systems. Increased global consumption and the need for sustainable farming practices further drive the adoption of smart solutions in vegetable farming. As a result, this segment plays a vital role in accelerating technological advancements and market growth.
The yield monitoring segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the yield monitoring segment is predicted to witness the highest growth rate, due to collect real-time data on crop performance. This data helps in making informed decisions to improve productivity and reduce input costs. Advanced sensors and GPS technologies allow precise tracking of yield variations across different field zones. By identifying high- and low-performing areas, farmers can implement targeted interventions for better results. Ultimately, yield monitoring enhances efficiency, sustainability, and profitability in specialty crop farming.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to demand for high-value crops. Countries like China, India, Japan, and Australia are investing in IoT, AI, drones, and automated systems to enhance productivity, reduce labor costs, and improve crop quality. Favourable government policies, growing awareness of sustainable farming, and technological advancements are accelerating market expansion. This sector supports efficient resource use and is pivotal in meeting the region's food security and export goals.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by the integration of advanced technologies. Farmers are leveraging smart technologies to enhance yield, monitor crop health, and optimize resource usage for high-value crops like fruits, vegetables, and nuts. The U.S. leads the market with strong technological infrastructure and government support. Increasing demand for sustainable farming and labor shortages further accelerate automation and smart farming adoption. Collaborations between agri-tech firms and research institutions also fuel innovation in the region.
Key players in the market
Some of the key players profiled in the Smart Specialty Crop Farming Market include Trimble Inc., Deere & Company, AG Leader Technology, AGCO Corporation, Topcon Positioning Systems, Raven Industries, TeeJet Technologies, Climate LLC, Granular, Prospera Technologies, CropX Technologies, AgriWebb, Blue River Technology, Taranis, PrecisionHawk, Autonomous Tractor Corporation, Sentera and Arable Labs.
In October 2024, Trimble and John Deere announced a strategic partnership to integrate Trimble's Earthworks Grade Control technology with John Deere's SmartGrade(TM) platform. This collaboration provides customers with advanced grade control solutions, enhancing productivity and versatility on construction job sites.
In September 2023, Trimble and AGCO announced a joint venture to enhance mixed-fleet precision agriculture solutions. This collaboration combines Trimble's precision agriculture business with AGCO's JCA Technologies, aiming to serve farmers with both factory-fit and aftermarket applications globally.
According to Stratistics MRC, the Global Smart Specialty Crop Farming Market is accounted for $8.71 billion in 2025 and is expected to reach $20.50 billion by 2032 growing at a CAGR of 13.01% during the forecast period. The use of cutting-edge technologies and data-driven methods to improve the production of high-value, non-commodity crops such fruits, vegetables, nuts, and herbs are known as "smart speciality crop farming." This strategy combines automation, real-time monitoring technologies, and precision agriculture to increase agricultural output, quality, and resource efficiency. Production is maximised by methods like crop health monitoring, targeted watering, and soil sensing. In the end, Smart Speciality Crop Farming increases profitability and satisfies consumer demand for premium, high-quality product by utilising innovation to assure sustainable practices, minimise input waste, and facilitate improved decision-making.
Rising demand for high-quality specialty crops
Farmers are being forced to use cutting-edge technologies as consumers want more fresh, organic, and nutrient-dense produce. Drones, AI analytics, and Internet of Things sensors are examples of smart farming technologies that help track crop health and maximise output. Crop quality is increased by these improvements, which guarantee accuracy in fertilisation, irrigation, and pest management. Investment in intelligent farming technologies is further encouraged by higher profitability from premium crops. As a result, the market keeps growing to accommodate changing consumer demands and environmental objectives.
High initial investment and operational costs
A significant amount of money is needed to set up sensors, automation systems, drones, and data analytics tools for smart farming. High maintenance and upgrade costs are frequently associated with these systems. Adopting such sophisticated technology may prove financially unfeasible for small and medium-sized farmers. Adoption is further hampered by limited availability to financing or credit, particularly in poor nations. Because of this, market penetration is still low, which hinders the industry's overall growth.
Development of smart greenhouses
The creation of smart greenhouses monitors and optimises growing conditions using cutting-edge sensors, IoT, and AI to increase crop quality and yield. Automated systems improve operational efficiency by lowering labour expenses and human error. Additionally, they advocate for energy and water conservation, which is consistent with sustainable farming methods. Profitability is increased by using smart greenhouses for high-value speciality crops such exotic vegetables, berries and herbs. The industry is expanding as a result of smart greenhouses' scalable and technologically advanced response to the growing demand for locally grown, pesticide-free produce.
Climate change and unpredictable weather patterns
Planting and harvesting timetables are disrupted by erratic rainfall, high temperatures, and changing seasons. The precision and dependability of data-driven farming systems are diminished by these uncertain circumstances. Unexpected weather anomalies may cause sensors and automation tools to function poorly. Furthermore, climate change-related increases in pest and disease outbreaks put further burden on smart farming systems. Farmers are consequently exposed to greater risks and expenses, which deters investment in cutting-edge smart agricultural technologies.
Covid-19 Impact
The COVID-19 pandemic significantly disrupted the smart specialty crop farming market, causing supply chain interruptions, labor shortages, and delayed technology deployments. Lockdowns restricted access to farms and slowed the adoption of smart farming tools like sensors, drones, and AI-based systems. However, the crisis also accelerated digital transformation, highlighting the need for automation and remote monitoring in agriculture. As a result, post-pandemic recovery has seen increased investment and interest in resilient, tech-driven farming practices to ensure food security and operational efficiency.
The vegetables segment is expected to be the largest during the forecast period
The vegetables segment is expected to account for the largest market share during the forecast period, due to the high demand for precision in cultivation practices. Smart technologies help optimize irrigation, nutrient delivery, and pest control, ensuring better yield and quality. Vegetables, being perishable and sensitive to climatic changes, benefit greatly from real-time monitoring and automated systems. Increased global consumption and the need for sustainable farming practices further drive the adoption of smart solutions in vegetable farming. As a result, this segment plays a vital role in accelerating technological advancements and market growth.
The yield monitoring segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the yield monitoring segment is predicted to witness the highest growth rate, due to collect real-time data on crop performance. This data helps in making informed decisions to improve productivity and reduce input costs. Advanced sensors and GPS technologies allow precise tracking of yield variations across different field zones. By identifying high- and low-performing areas, farmers can implement targeted interventions for better results. Ultimately, yield monitoring enhances efficiency, sustainability, and profitability in specialty crop farming.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to demand for high-value crops. Countries like China, India, Japan, and Australia are investing in IoT, AI, drones, and automated systems to enhance productivity, reduce labor costs, and improve crop quality. Favourable government policies, growing awareness of sustainable farming, and technological advancements are accelerating market expansion. This sector supports efficient resource use and is pivotal in meeting the region's food security and export goals.
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by the integration of advanced technologies. Farmers are leveraging smart technologies to enhance yield, monitor crop health, and optimize resource usage for high-value crops like fruits, vegetables, and nuts. The U.S. leads the market with strong technological infrastructure and government support. Increasing demand for sustainable farming and labor shortages further accelerate automation and smart farming adoption. Collaborations between agri-tech firms and research institutions also fuel innovation in the region.
Key players in the market
Some of the key players profiled in the Smart Specialty Crop Farming Market include Trimble Inc., Deere & Company, AG Leader Technology, AGCO Corporation, Topcon Positioning Systems, Raven Industries, TeeJet Technologies, Climate LLC, Granular, Prospera Technologies, CropX Technologies, AgriWebb, Blue River Technology, Taranis, PrecisionHawk, Autonomous Tractor Corporation, Sentera and Arable Labs.
In October 2024, Trimble and John Deere announced a strategic partnership to integrate Trimble's Earthworks Grade Control technology with John Deere's SmartGrade(TM) platform. This collaboration provides customers with advanced grade control solutions, enhancing productivity and versatility on construction job sites.
In September 2023, Trimble and AGCO announced a joint venture to enhance mixed-fleet precision agriculture solutions. This collaboration combines Trimble's precision agriculture business with AGCO's JCA Technologies, aiming to serve farmers with both factory-fit and aftermarket applications globally.