농업 분석(Agriculture Analytics) 시장 규모는 2022년에 12억 달러로 평가되었고, 2023년 13억 6,000만 달러에서 2031년에는 36억 6,000만 달러로 성장 할 것으로 예상되며, 예측 기간 중(2024-2031년) CAGR은 13.20%로 추이하며 성장할 전망입니다.
농업 분야는 빅데이터, 인공지능, 클라우드 컴퓨팅, 사물인터넷과 같은 첨단 기술을 빠르게 수용하여 농작물 관리, 가축 모니터링, 경작지 최적화 등 농업 관행을 개선하고 자동화하고 있습니다. 이러한 변화는 인구 급증으로 인해 두 배 이상 증가할 것으로 예상되는 전 세계 식량 수요의 증가에 의해 주로 추진되고 있습니다. 도시화, 기후 변화, 물 부족 등의 영향으로 경작지가 점점 더 부족해지면서 민간 기업과 정부 이니셔티브 모두 도시 및 수직 농업 솔루션을 적극적으로 장려하고 있습니다. 이러한 혁신적인 농업 관행은 활용도가 낮은 건물과 황무지를 활용하여 구조화된 수직 재배 시스템을 통해 작물 수확량을 최적화합니다. 동시에 농업 분석 솔루션에 대한 필요성이 증가함에 따라 농부들은 토질, 경작지 구성, 사육 방식, 관개 기술과 같은 중요한 요소를 모니터링하여 손실을 최소화하고 작물의 품질을 향상시킬 수 있습니다. 농업 분석 기술의 통합은 식량 공급이라는 시급한 과제를 해결할 뿐만 아니라 농업 업계가 미래의 수요를 지속 가능하고 효율적으로 충족할 수 있는 기반을 마련합니다. 이러한 추세에 따라 농업 환경이 진화함에 따라 이해관계자들은 이러한 혁신적인 기술 발전의 잠재력을 최대한 활용하기 위해 적응력을 유지하고 정보를 파악해야 합니다.
Global Agriculture Analytics Market size was valued at USD 1.2 billion in 2022 and is poised to grow from USD 1.36 billion in 2023 to USD 3.66 billion by 2031, growing at a CAGR of 13.20% during the forecast period (2024-2031).
The agricultural sector is rapidly embracing cutting-edge technologies such as big data, artificial intelligence, cloud computing, and the Internet of Things to enhance and automate farming practices, including crop management, livestock monitoring, and field optimization. This shift is primarily propelled by the escalating global food demand, which is projected to more than double due to a burgeoning population. As arable land becomes increasingly scarce-impacted by urbanization, climate change, and water shortages-both private companies and government initiatives are actively promoting urban and vertical farming solutions. These innovative agricultural practices leverage underutilized buildings and wasteland to optimize crop yields through structured vertical growing systems. Concurrently, the growing need for agricultural analytics solutions enables farmers to monitor critical factors such as soil quality, field organization, breeding practices, and irrigation techniques, thereby minimizing losses and enhancing crop quality. The integration of agro analytics technology not only addresses the pressing challenges of food supply but also positions the agriculture industry to meet future demands sustainably and efficiently. As the agricultural landscape evolves in response to these trends, stakeholders must remain adaptive and informed to harness the full potential of these transformative technological advancements.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Agriculture Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Agriculture Analytics Market Segmental Analysis
Global Agriculture Analytics Market is segmented by Offering, Agriculture Type, Farm Size, Technology, End Users, and region. Based on Offering, the market is segmented into Solutions, Services. Based on Agriculture Type, the market is segmented into Precision Farming, Livestock Farming, Aquaculture Farming, Vertical Farming, and Other Agriculture Type. Based on Farm Size, the market is segmented into Small and Medium-sized Farms, Large Farms. Based on Technology, the market is segmented into Remote Sensing and Satellite Imagery, Geographic Information System, Robotics and Automation, Big Data and Cloud Computing, Visualization and Reporting, Blockchain Technology, and Other Technology. Based on End Users, the market is segmented into Farmers, Agronomists, Agribusinesses, Agricultural Researchers, Government Agencies, Other End Users. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Agriculture Analytics Market
The global agriculture analytics market is significantly driven by the increasing potential of urban agriculture, which has gained prominence in recent years as individuals engage in food cultivation within community gardens or on rooftops. This growing trend not only ensures the provision of locally sourced crops to urban dwellers but also offers numerous additional benefits that extend beyond mere food production. Urban farming positively affects the environment by mitigating runoff during heavy rainfall and enhancing air quality. Furthermore, the collaborative effort involved in cultivating and maintaining these urban plots fosters stronger social connections within communities, thereby propelling the demand for agriculture analytics solutions.
Restraints in the Global Agriculture Analytics Market
The Global Agriculture Analytics market faces significant restraints primarily due to the high costs associated with obtaining accurate field data. The initial investment required for AI technology adoption in agriculture poses a challenge for many farmers, who are often reluctant to spend on advanced farming equipment, skilled labor, and technology integration. Gathering precise data through satellite, GPS, drones, and Geographic Information Systems (GIS) necessitates substantial financial commitments. Additionally, expenses related to geographical data collection and data management training further complicate the situation. The high price tags of advanced tools like drones and autonomous tractors with GPS capabilities deter many from fully embracing these innovative solutions.
Market Trends of the Global Agriculture Analytics Market
The Global Agriculture Analytics market is witnessing a significant upward trend, driven by the increasing adoption of IoT devices and AI technologies in farming operations. These innovations are transforming traditional farming practices by providing real-time data analytics that enhance decision-making processes related to crop management and livestock health. Specifically, IoT devices monitor critical factors like soil fertility and animal breeding success, enabling farmers to optimize yields and reduce losses. As reliance on data-driven insights grows, the integration of advanced analytics in agriculture is expected to expand, paving the way for more efficient and sustainable farming practices throughout the forecast period.