Global IoT in Agriculture Market (2021-2026)
Dublin, May 26, 2021 (GLOBE NEWSWIRE) – The “The IoT in the agriculture market by technology, automation (robots, drones and intelligent equipment), types of sensors, hardware, software and solutions 2021 – 2026” the report was added to ResearchAndMarkets.com from offer.
This report assesses technologies, companies and solutions for IoT in agriculture. The report assesses the global market and provides forecast for sensors (and other devices), services, solutions and data analysis on a global and regional scale for the period 2021 to 2026. The forecast includes agriculture precision, indoor agriculture, animal husbandry and fishing.
The forecast covers IoT in agricultural solutions globally and regionally, including: intelligent agricultural equipment, intelligent sensor systems, intelligent drones, intelligent agricultural robots and software. In the Smart Sensor area, the report foresees the following: Sensors for the detection of physical properties, Sensors for analysis and chemical applications, Sensors for general monitoring, Sensors for quality, Sensors for autonomous agriculture, etc. .
Select the report results:
- Largest IoTAg App By Revenue Is Monitoring, Which Will Reach $ 6.99 Billion Globally By 2026
- The fastest growing area of IoT solution in terms of revenue is automation, which will grow at a CAGR of 63.8% through 2026
- The smart sensor systems market to reach $ 2.48 billion globally by 2026, with a CAGR of 66.0% until 2026
- Global agricultural drone market to reach $ 1.12 billion by 2026 with an average price of $ 1250 per unit for drones
- Smart solutions for aquaculture operations will reach $ 980 million globally by 2026, what we see as a significantly underserved market
- The implementation of combined AI and IoT solutions for agriculture will bring a substantial improvement in both operational efficiency and effectiveness.
There is currently an urgent need for greater agricultural efficiency and effectiveness during the week of the recent pandemic. Many agricultural commodities such as corn, soybeans and cotton have been downgrading since the publication of this report, which means that the current price of an underlying asset is higher than the prices traded in the futures market. . This is atypical for commodities because inflation generally tends to increase their price over time.
However, recent labor shortages due to the COVID-19 pandemic, coupled with a resumption of economic activity associated with the reopening of economies after the initial shutdowns of the pandemic, have led to discontinuities in the supply chain and the resulting imbalanced supply and demand dynamics. This is reflected in the Bloomberg Agriculture Spot Index, which measures the price movements of agricultural commodities, rose from 227.38 on May 15, 2020 to a recent high of 386.47 on April 23, 2021, an increase of 70 % in just over a year.
While commodity prices and the aforementioned supply challenges represent an acute problem in the shorter term, there remain long-term structural market drivers for improved agricultural technologies. As the world’s population grows, so does the demand for food. The UN estimates that the Earth will need to produce 70% more food by 2050 to support these growing populations. To complicate matters, natural resources are slowly being depleted and usable farmland is shrinking.
There is a growing need for smart and highly scalable farming solutions. Increasingly, the agricultural sector is becoming controlled by companies that are not experts in conventional agriculture. The publisher sees a shift from conventional agriculture to farm management. With this change, software developers and predictive data analytics companies will take end-to-end control of farming operations.
Agriculture has shifted over the past decades from small to medium-sized farming to highly industrialized commercial agriculture, concentrated in a few large firms. However, as various Internet of Things (IoT) technologies mature beyond the R&D phase and enter general production, the costs for everything from drones / UAVs to sensors will continually decrease, making the connected agriculture more accessible to small farms and third world countries.
With this agricultural transformation, farming operations are increasingly a highly mechanized and computerized operation. This allows businesses to treat agriculture like manufacturing in the sense that measurement, data, and control are very important in managing costs, maximizing returns, and increasing profits. This change in the management of agricultural operations will bring various benefits to agriculture and livestock management, including improved quality and quantity of crops, better use of agricultural resources and equipment, real-time monitoring of farms, animals and machinery, automated irrigation systems, fertilizer spraying, and pest control.
The broad term, AgriTech, represents the use of technology in agriculture, horticulture and aquaculture for the purpose of improving yield, efficiency and profitability. The commercial agriculture sector is emerging as one of the most data-driven IoT markets. With the emergence of M2M, IoT, and advanced data analysis technologies, data is becoming available that was previously unrecoverable. Applying various AgriTech analysis tools and methodologies, such as predictive analytics, will bring substantial improvements to farming operations.
The IoT in Agriculture (IoTAg) represents a more specific use of technology in which agricultural planning and operations are connected in ways previously impossible without advancements in sensors, communications, data analytics and other areas. Virtually every aspect of agriculture that can be automated, planned and managed digitally will benefit from IoT technologies and solutions.
As a result, we see IoTAg fundamentally transforming the way agricultural operations and farms are managed, which will bring various benefits to agriculture including improved quality and quantity of crops; better use of agricultural resources and equipment; real-time monitoring of farms, animals and machinery; and automated irrigation systems, fertilizer spraying and pest control.
The implementation of IoTAg aims to facilitate greater agricultural efficiency and effectiveness. Essentially, IoTAg solutions, combined with artificial intelligence and a few other supporting technologies, enable smart agriculture. IoTAg solutions provide many benefits for smart agriculture, such as increasing yields, monitoring crops, automating operations and reducing waste.
IoT technologies allow farmers and ranchers to improve their productivity. For example, if part of the irrigation system is malfunctioning, sensors can provide alerts, allowing the problem to be resolved in a timely manner. These technologies also allow farm workers to view operational conditions from anywhere and make changes with real-time solutions.
Here are illustrative examples of smart farming solutions:
- Greenhouse Automation: With IoT and sensors, greenhouses can be almost fully automated. Real-time data on greenhouse conditions, including temperature, lighting, soil condition and humidity, can be reviewed and changed automatically. Users can enter desired parameters and automation systems adjust the ecosystem to match them.
- Livestock monitoring / management: IoT sensors can be attached to animals to monitor and record their health. These solutions can collect data on the health, welfare and location of livestock. Sensors can quickly identify sick animals, allowing farmers to separate them from the herd and reduce the spread of contagion. These sensors also allow farmers to save on personnel costs while making better use of their time.
- Harvest Robotics: Agribots are used to harvest crops, helping to fill the worker gap. These robots can pick fruits and vegetables 24/7, using robotic arms and digital image processing to do this. Companies can better control the quality of their products by using these robots, as they determine the time of harvest based on programmed parameters.
Main topics covered:
3 IoT in the dynamics of the agricultural market
4 IoT in Agriculture Market Analysis and Forecast 2021-2026
5 IoT in the analysis of agricultural suppliers
5.1 Ecosystem of smart agriculture providers
5.2 IoT in the strategies of agricultural suppliers
5.3 Select smart agriculture solutions
5.3.3 Livestock monitoring
5.3.4 Monsanto (Bayer)
5.3.5 Decagon (METER environment)
5.3.6 Deepfield Robotics (Bosch)
5.3.11 FluxFarm Inc.
5.3.12 John Deere
5.3.13 Kaa Open Source IoT Platform
5.3.14 Libelium Comunicaciones Distribuidas SL
5.3.21 Intrinsyc Technologies Corp
5.3.22 Raven Industries
6 Annex one: IoT data analysis
7 Annex two: Additional business analysis
7.1 AG Leader Technology
7.2 AGCO Company
7.3 AgJunction Inc.
7.5 Amber agriculture
7.6 Antelliq Corporation
7.13 Cisco Systems, Inc.
7.14 CNH Industrial
7.16 CropMetrics LLC
7.17 Decisive agriculture
7.18 Deere and company
7.19 Delaval, Inc.
7.20 Dickey John
7.21 Green peas
7.23 Farmers Edge, Inc.
7.25 GEA agricultural technology
7.26 Hitachi, Ltd
7.28 Intel Corporation
7.29 Komatsu Forest AB
7:30 am Lely
7.32 Lindsay Company
7.34 NTT DoCoMo
7.35 OnFarm Systems Inc.
7.36 A lot
7.38 Precision Hawk
7.40 Raven Industries, Inc.
7.42 SemiosBIO Technologies
7.43 Semtech Corporation
7.44 Skylo Technologies
7.45 SlantRange, Inc.
7.46 Spectrum Technologies, Inc.
7.47 SST Development Group Inc.
7.48 Quick navigation
7.49 TeeJet Technologies
7.51 The Climate Corporation
7.53 Topcon Positioning Systems
7.55 Trimble Inc.
7.56 UpTake Networks
For more information on this report, visit https://www.researchandmarkets.com/r/9vmauq