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市場調查報告書
商品編碼
1359034
2030 年農業物聯網市場預測 - 按產品、農場類型、農場生產計畫階段、用途和區域進行的全球分析Agriculture IoT Market Forecasts to 2030 - Global Analysis By Offering (Hardware, Software and Services), Farm Type (Large, Mid-Sized and Small Farms), Farm Production Planning Stage, Application and By Geography |
根據Stratistics MRC預測,2023年全球農業物聯網市場規模將達到142.5億美元,預計2030年將達到311億美元,預測期內年複合成長率為11.8%。
農業物聯網(物聯網)市場是物聯網技術在農業中的應用,包括使用連接的設備和感測器來收集即時資料並使各種農業流程自動化。農業中的物聯網用於精密農業,以監測土壤條件、天氣、作物健康和牲畜,使農民能夠做出資料驅動的決策。
根據聯合國糧食及農業組織(FAO)預測,到2050年,世界人口預計將超過90億。為了為這些人口生產足夠的食物,農業產量需要增加 50%。
透過將物聯網感測器和設備與人工智慧分析相結合,農民可以以前所未有的精度監控和管理作物、牲畜和機械。該技術支援即時資料採集、作物產量預測分析、自動化決策、最佳化資源利用、減少體力勞動。利用物聯網和人工智慧的力量,將使農業更具永續、生產力和韌性,使其能夠應對糧食安全、資源稀缺、氣候變遷等課題,使農業物聯網成為一個重要的市場,這是一個重要的促進因素。
雖然物聯網技術可以帶來長期效益,例如提高生產力和最佳化資源,但初始投資可能會讓許多中小型農民望而卻步。此成本不僅包括購買物聯網設備和感測器,還包括基礎設施升級、連接費用、培訓費用等。這種財務障礙可能會阻礙採用,特別是在資金來源有限或傳統農業做法普及的地區。
創新技術利用物聯網和自動化來提高家禽養殖效率和動物福利。家禽機器人可實現飼餵、集蛋、健康監測等任務的自動化,降低人事費用並提高生產效果。 BSC 的智慧攝影機提供即時視覺資料,以實現準確的牛群管理。這些採用簡化了操作、提高了產量比率並確保牲畜健康。隨著這些解決方案普及更加廣泛,這意味著物聯網在農業中的應用範圍將會擴大,為農民提供先進的工具來最佳化流程、減少體力勞動並提高整體盈利。
物聯網將從整個農場的感測器和設備產生大量資料,因此有效的資料管理至關重要。然而,缺乏用於收集、處理和解釋這些資料的易於使用的標準化解決方案,讓農民不知所措並阻礙了決策。其結果是資料孤島、效率低、錯失最佳化機會。如果沒有標準化工具,從不同資訊來源收集的資料通常存在於孤島中,因此難以進行整體整合和分析。這種碎片化阻礙了獲得有意義的見解和做出資訊決策的能力。由於資料處理的複雜性,農民,尤其是技術專業知識較少的農民,可能很難充分利用物聯網技術的潛力。
COVID-19 的疫情對農業物聯網市場產生了重大影響,這主要是由於全球供應鏈中斷和勞動力限制。封鎖和限制阻礙了物聯網組件的生產和分銷,推遲了專案實施並增加了成本。此外,經濟不確定性導致農業技術投資減少。農民面臨財務困難,限制了他們投資物聯網解決方案的能力。然而,疫情凸顯了物聯網在農業中的重要性。這凸顯了在危機期間確保糧食安全的遠端監控和自動化的必要性,並且隨著農業部門適應未來課題,遠端監控和自動化的採用可能會隨著時間的推移而增加。
生產計畫涉及智慧感測器、資料分析和自動化技術在農業物聯網市場的策略整合,預計將佔據重要佔有率。透過持續監測環境條件、土壤品質和動物健康,物聯網解決方案使農民能夠在種植、灌溉、施肥和疾病控制方面做出資料驅動的決策。結果,作物產量增加,資源浪費減少,永續性提高。此外,預測分析有助於需求預測並確保高效的供應鏈管理。
在預測期內,智慧溫室領域預計將以最有效的速度成長。這些先進的結構採用一系列感測器、致動器和資料分析來為植物創造最佳的生長條件。即時監測和控制溫度、濕度、光照和灌溉等因素,確保實現更高產量和資源效率的精確條件。整合的物聯網系統可實現遠端系統管理和資料驅動的決策,使農民能夠快速適應不斷變化的條件。在農業物聯網領域,智慧溫室是永續產量農業的典範,可以滿足世界對糧食生產日益成長的需求,同時節省資源並減少對環境的影響。
在預測期內,由於先進的技術基礎設施、大規模的農場營運以及對農業創新的高度重視,北美農業物聯網市場預計將佔據大部分市場佔有率。該地區的農民和相關企業擴大採用物聯網解決方案來改善作物管理、牲畜監測和農場整體效率。氣候變遷、勞動力短缺和永續實踐的需求等要素正在推動物聯網在農業中的應用。此外,北美的法規結構和政府對精密農業措施的支持有助於其在全球農業物聯網市場中的領導地位,使其成為農業領域物聯網創新的中心。
預計亞太地區在預測期內的年複合成長率最高。其多樣化的農業景觀,從小規模農場到大規模商業營運,都大大受益於物聯網技術。該地區的農民擴大部署智慧感測器、精密農業解決方案和資料分析,以最佳化作物生產、監控牲畜並更有效地管理資源。此類實施可促進永續農業實踐,減少與氣候變遷相關的風險,並增強糧食安全。此外,由於亞太地區致力於技術進步和滿足日益成長的糧食需求,因此亞太地區被定位為塑造農業物聯網未來的關鍵參與者。
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According to Stratistics MRC, the Global Agriculture IoT Market is accounted for $14.25 billion in 2023 and is expected to reach $31.1 billion by 2030 growing at a CAGR of 11.8% during the forecast period. The Agriculture IoT (Internet of Things) Market is the application of IoT technology in agriculture, encompassing the use of connected devices and sensors to collect real-time data and automate various agricultural processes. IoT in agriculture is used for precision farming, where it monitors soil conditions, weather, crop health, and livestock, allowing farmers to make data-driven decisions.
According to the UN Food and Agriculture Organization (FAO), the global population is expected to surpass 9 billion people by 2050. To produce enough food for the given population, agriculture production volumes have to increase by 50%.
IoT sensors and devices, coupled with AI analytics, enable farmers to monitor and manage crops, livestock, and machinery with unprecedented precision. This technology assists in real-time data collection, predictive analytics for crop yields, automated decision-making, optimizing resource utilization and reducing manual labor. By harnessing the power of IoT and AI, agriculture becomes more sustainable, productive, and resilient, addressing the challenges of food security, resource scarcity, and climate change, making it a crucial driver in the agriculture IoT market.
While IoT technology offers long-term benefits, including increased productivity and resource optimization, the initial investment can be prohibitively expensive for many small and medium-sized farmers. The cost includes not only the purchase of IoT devices and sensors but also infrastructure upgrades, connectivity fees, and training expenses. This financial barrier may hinder widespread adoption, particularly in regions with limited access to capital or where traditional farming practices are deeply entrenched.
The innovative technologies leverage IoT and automation to enhance poultry farming efficiency and animal welfare. Poultry robots can automate tasks like feeding, egg collection, and health monitoring, reducing labor costs and improving production outcomes. BSC smart cameras provide real-time visual data for precise flock management. Their adoption streamlines operations, increases yield, and ensures animal well-being. As these solutions gain traction, they signify the expanding scope of IoT applications in agriculture, offering farmers advanced tools to optimize processes, reduce manual labor, and boost overall profitability.
IoT generates vast amounts of data from sensors and devices across farms, making effective data management crucial. However, the lack of user-friendly, standardized solutions for collecting, processing, and interpreting this data can overwhelm farmers and hinder decision-making. It results in data silos, inefficiencies, and missed opportunities for optimization. Without standardized tools, data collected from different sources often exists in silos, making it challenging to integrate and analyze comprehensively. This fragmentation hampers the ability to derive meaningful insights and make informed decisions. Farmers, especially those with limited technical expertise, may struggle to harness the full potential of IoT technology due to the intricacies of data handling.
The COVID-19 pandemic has had a significant impact on the agriculture IoT market, primarily due to disruptions in the global supply chain and workforce constraints. Lockdowns and restrictions hampered the production and distribution of IoT components, delaying project implementation and increasing costs. Additionally, economic uncertainties led to reduced investment in agricultural technology. Farmers faced financial challenges, limiting their ability to invest in IoT solutions. However, the pandemic also underscored the importance of IoT in agriculture, as it highlighted the need for remote monitoring and automation to ensure food security during crises, potentially driving increased adoption in the long term as the sector adapts to future challenges.
Production planning it involves the strategic integration of smart sensors, data analytics, and automation technologies, in regard to the Agriculture IoT Market and expected to hold a significant share. By continuously monitoring environmental conditions, soil quality, and animal health, IoT solutions enable farmers to make data-driven decisions for planting, irrigation, fertilization, and disease control. This result in increased crop yields, reduced resource waste, and improved sustainability. Additionally, predictive analytics can help forecast demand, ensuring efficient supply chain management.
During the anticipated period, the smart greenhouses segment is expected to increase at the most effective rate. These advanced structures employ an array of sensors, actuators, and data analytics to create an optimal growth environment for plants. Real-time monitoring and control of factors like temperature, humidity, light, and irrigation ensure precise conditions for enhanced yields and resource efficiency. Integrated IoT systems enable remote management and data-driven decision-making, enabling farmers to adapt swiftly to changing conditions. In the agriculture IoT landscape, smart greenhouses exemplify sustainable, high-yield agriculture, addressing the growing global demand for food production while conserving resources and reducing environmental impact.
During the forecast period, it is expected that the North American agriculture IoT market will hold a majority of the market share driven by its advanced technological infrastructure, large-scale farming operations, and strong focus on agricultural innovation. The region's farmers and agribusinesses are increasingly adopting IoT solutions to enhance crop management, livestock monitoring, and overall farm efficiency. Factors like climate change, labor shortages, and the need for sustainable practices have propelled IoT adoption in agriculture. Furthermore, North America's regulatory framework and government support for precision agriculture initiatives contribute to its leadership in the global agriculture IoT market, making it a hub for IoT innovation in the farming sector.
Asia Pacific is projected to have the highest CAGR over the forecast period. Its diverse agricultural landscape, ranging from smallholder farms to large commercial operations, benefits immensely from IoT technologies. Farmers in the region are increasingly deploying smart sensors, precision agriculture solutions, and data analytics to optimize crop production, monitor livestock, and manage resources more efficiently. This adoption fosters sustainable agriculture practices, mitigates risks associated with climate change, and enhances food security. Furthermore, the Asia Pacific's commitment to technological advancement and the need to meet rising food demands position it as a critical player in shaping the future of agriculture IoT.
Some of the key players in Agriculture IoT market include: CropX inc., AgJunction Inc., AgriData Incorporated., Aker Solutions, Auroras s.r.l., Ceres Imaging, Inc, Conservis, Ag Leader Technology., Deere & Company., DeLaval Grownetics, Inc., Farmers Edge Inc, Granular, Inc., Iteris, Inc., Mothive., Trimble Inc., Raven Industries, Inc., Reed Business Information Ltd and The Climate Corporation.
In November 2022, DeLaval introduced RC550 & RC700 to its portfolio of robots. These robots were designed for solid floors to improve cow comfort and hoof condition. With their unique rotary manure intake system, any type of manure can be handled by the collector, and additional water need not be added.
In October 2022, Deere & Company launched an updated version of ExactRate, which is an on-planter system that fertilizes new crops with twice the previous speed and reduces the number of refills needed for fertilizer tanks during planting.
In June 2022, Raven Industries introduced its first driverless agriculture technology for harvesting operations. It helps farmers to monitor driverless vehicles by setting field plans, adjusting speeds and monitoring location activities.
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