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IoT in Agriculture Market Report to 2028: by Technology, Automation, Sensor Types, Hardware, Software and Solutions

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Dublin, June 07, 2023 (GLOBE NEWSWIRE) — The “IoT in Agriculture Market by Technology, Automation (Robots, Drones, and Smart Equipment), Sensor Types, Hardware, Software and Solutions 2023 – 2028” report has been added to ResearchAndMarkets.com’s offering.

This report assesses the technologies, companies, and solutions for IoT in agriculture. The report evaluates the overall marketplace and provides forecasts for sensors (and other devices), services, solutions, and data analytics globally, and regionally for the period 2023 to 2028. Forecasts include precision agriculture, indoor farming, livestock, and fisheries.

Forecasts cover IoT in agriculture solutions globally and regionally including: Intelligent Farm Equipment, Smart Sensor Systems, Intelligent Drones, Smart Farm Robots, and Software. Within the Smart Sensor area, the report forecasts the following: Sensors for Detecting Physical Properties, Sensors for Chemical Analysis and Applications, Sensors for General Monitoring, Sensors for Quality, Sensors for Autonomous Agriculture, and others.

Select Report Findings:

  • The largest IoTAg application by revenue is monitoring, which will reach $8.1 billion globally by 2028
  • The fastest growing IoT solution area by revenue is automation, which will grow at a CAGR of 65.3% through 2028
  • The market for smart sensor systems will reach $3.4 billion globally by 2028, growing at a CAGR of 62.5% through 2028
  • The global market for agriculture drones will reach $1.91 billion by 2028 with an average price of $1,189 per unit for UAVs
  • Intelligent solutions for aquaculture operations will $1.35 billion globally by 2028, which we see as a significantly underserved market
  • The implementation of combined AI and IoT solutions for agriculture will provide a substantial lift for both operational efficiency and effectiveness

There is currently an acute need for greater agricultural efficiency and effectiveness in the week of the recent pandemic. Many agricultural commodities such as corn, soy, and cotton are in backwardation as of the publication of this report, which means that the current price of an underlying asset is higher than prices trading in the futures market. This is atypical for commodities as inflation generally tends to make their prices increase over time.

There is an ever-increasing need for intelligent and highly scalable agriculture solutions. Increasingly, the agriculture business is becoming controlled by companies that are not conventional agriculture experts. The publisher sees a shift from conventional agriculture to farm management. With this shift, software developers and predictive data analytics companies will take control of end-to-end agricultural operations.

Agriculture has transformed in the last few decades from small to medium farming operations to highly industrialized, commercial farming that is concentrated among a few large corporations. However, as various Internet of Things (IoT) technologies mature beyond the R&D phase and go into general production, costs for everything from drones/UAVs to sensors will continually decrease, making connected agriculture more accessible to smaller farms and third world countries.

With this agricultural transformation, farming operations are increasingly a highly mechanized and computer-driven operation. This allows corporations to treat agriculture like manufacturing in the sense that measurements, data, and control is very important to manage costs, maximize yields, and boost profits. This shift in managing agricultural operations will bring various benefits to farming and livestock management, including enhanced crop quality and quantity, improved use of resources and farm equipment, real-time monitoring of farms, animals, and machines, automated irrigation systems, fertilizer spraying, and pest control.

The general term, AgriTech, represents the use of technology in agriculture, horticulture, and aquaculture for purposes of improving yield, efficiency, and profitability. The commercial agriculture industry is rapidly becoming one of the most IoT data-driven markets. With the emergence of M2M, IoT, and advanced data analytics technologies, data is becoming available that was previously uncollectible. The application of various AgriTech analytics tools and methodologies, such as predictive analytics will provide substantial enhancements to agriculture operations.

IoT in Agriculture (IoTAg) represents a more specific use of technology wherein agricultural planning and operations becomes connected in ways previously impossible if it were not for advances in sensors, communications, data analytics, and other areas. Virtually every aspect of agriculture that can be automated, digitally planned, and managed will benefit from IoT technologies and solutions.

Accordingly, we see IoTAg fundamentally transforming the way agricultural operations and farms are managed, which will bring various benefits to farming, including enhanced crop quality and quantity; improved use of resources and farm equipment; real-time monitoring of farms, animals, and machines; and automated irrigation systems, fertilizer spraying, and pest control.

The implementation of IoTAg is intended to facilitate greater agricultural efficiency and effectiveness. Essentially, IoTAg solutions, coupled with artificial intelligence and a few other supporting technologies, enable smart agriculture. IoTAg solutions provide many intelligent agriculture benefits such as increase of yields, monitoring crops, automating operations, and reducing waste.

IoT technologies allow farmers and ranchers to enhance productivity. For example, if part of the irrigation system malfunctions, sensors can provide alerts, allowing the problem to be addressed in a timely fashion. These technologies also allow agricultural staff to view operational conditions from anywhere and make changes with real-time solutions.

Illustrative examples of smart agriculture solutions include the following:

  • Greenhouse Automation: With IoT and sensors, greenhouses can be almost entirely automated. Real-time data on greenhouse conditions, including temperature, lighting, soil condition, and humidity, can be examined and modified automatically. Users can input desired parameters, and automation systems adjust the ecosystem to match them.
  • Cattle Monitoring/Management: IoT sensors can be attached to animals to monitor and record their health. These solutions can collect data on livestock health, well-being, and location. Sensors can identify sick animals quickly, allowing farmers to separate them from the herd and reduce the spread of contagion. These sensors also save farmers cost in staffing expenses while making better use of their time.
  • Harvesting Robotics: Agribots are being used to harvest crops, helping to fill the void of workers. These bots can pick fruits and vegetables 24/7, using robotic arms and digital image processing to do so. Companies can control the quality of their products better by utilizing these bots, as they determine when to harvest based on programmed parameters.

Key Topics Covered:

1 Executive Summary

2 Overview

3 IoT in Agriculture Market Dynamics
3.1 IoT for Provides Farming Scalability
3.2 IoT in Agriculture Market Drivers
3.3 Integrated Artificial Intelligence of Things Solutions in Agriculture

4 IoT in Agriculture Market Analysis and Forecasts 2023 – 2028
4.1 Global IoT Agriculture Revenue by Application 2023 – 2028
4.2 Global IoT Agriculture Revenue by Segment 2023 – 2028
4.2.1 Global Intelligent Farm Equipment Market 2023 – 2028
4.2.2 Global Smart Sensors in Agriculture Market 2023 – 2028
4.2.3 Market by Smart Sensor Type for IoT in Agriculture 2023 – 2028
4.2.4 Global Agricultural Drone Market 2023 – 2028
4.2.5 Global Smart Farm Robot Market 2023 – 2028
4.2.6 Global Agriculture Software Solutions Market 2023 – 2028
4.3 Global IoT in Agriculture Solution Market 2023 – 2028
4.3.1 Global Revenue for IoT Precision Agriculture
4.3.2 Global Revenue for IoT Indoor Farming
4.3.3 Global Revenue for IoT Livestock Farming
4.3.4 Global Revenue for IoT Fisheries and Aquaculture
4.4 IoT in Agriculture Revenue by Region 2023 – 2028
4.4.1 North American Market for IoT in Agriculture
4.4.2 European Market for IoT in Agriculture
4.4.3 APAC Market for IoT in Agriculture
4.4.4 Rest of World Market for IoT in Agriculture
4.5 Global Managed Services in IoT Agriculture
4.6 Predictive Analytics and Artificial Intelligence in Smart Agriculture

5 IoT in Agriculture Vendor Analysis
5.1 Smart Agriculture Vendor Ecosystem
5.2 IoT in Agriculture Vendor Strategies
5.3 Select Smart Agriculture Solutions
5.3.1 Accenture
5.3.2 AgEagle
5.3.3 Cattle Watch
5.3.4 Monsanto (Bayer)
5.3.5 Decagon (METER Environment)
5.3.6 Deepfield Robotics (Bosch)
5.3.7 DroneDeploy
5.3.8 FarmersEdge
5.3.9 IBM
5.3.10 Euravka
5.3.11 FluxFarm Inc.
5.3.12 John Deere
5.3.13 Kaa Open Source IoT Platform
5.3.14 Libelium Comunicaciones Distribuidas S.L.
5.3.15 MTN
5.3.16 SWIM
5.3.17 SlantRange
5.3.18 Telit
5.3.19 PTC
5.3.20 TopCon
5.3.21 Intrinsyc Technologies Corp
5.3.22 Raven Industries
5.3.23 Semtech
5.3.24 Trackit

6 Appendix One: IoT Data Analytics

7 Appendix Two: Additional Company Analysis
7.1 AG Leader Technology
7.2 AGCO Corporation
7.3 AgJunction Inc.
7.4 Agribotix
7.5 Amber Agriculture
7.6 Antelliq Corporation
7.7 Arable
7.8 Atos
7.9 aWhere
7.10 Bext360
7.11 C2M
7.12 Caterpillar
7.13 Cisco Systems, Inc.
7.14 CNH Industrial
7.15 Connecterra
7.16 CropMetrics LLC
7.17 Decisive Farming
7.18 Deere and Company
7.19 Delaval, Inc.
7.20 Dickey John
7.21 E-peas
7.22 Everynet
7.23 Farmers Edge, Inc.
7.24 Fasal
7.25 GEA Farm Technology
7.26 Hitachi, Ltd
7.27 IBM
7.28 Intel Corporation
7.29 Komatsu Forest AB
7.30 Lely
7.31 Libelium
7.32 Lindsay Corporation
7.33 Monsanto
7.34 NTT DoCoMo
7.35 OnFarm Systems Inc.
7.36 Plenty
7.37 Ponsse
7.38 Precision Hawk
7.39 Pycom
7.40 Raven Industries, Inc.
7.41 Scriptr
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 Swift Navigation
7.49 TeeJet Technologies
7.50 Telit
7.51 The Climate Corporation
7.52 Tigercat
7.53 Topcon Positioning Systems
7.54 Treemetrics
7.55 Trimble Inc.
7.56 UpTake Networks

For more information about this report visit https://www.researchandmarkets.com/r/rs5o3v

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world’s leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.


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Artificial Intelligence

Cybersecurity veteran Simon Church Joins CyXcel as Chief Strategy Officer

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LONDON, May 9, 2024 /PRNewswire/ — CyXcel, a leading cybersecurity business with operations in the UK and North America, announces the appointment of Simon Church as Chief Strategy Officer. A 35-year veteran of the technology industry, Church brings a wealth of cyber expertise and commercial development to the role. Church’s appointment solidifies CyXcel as a pioneering force in combining security, regulatory, and legal expertise for established companies and those expanding into new markets, ensuring protection and recovery of their critical business assets.

As Chief Strategy Officer, Church will spearhead CyXcel’s strategic initiatives to drive innovation, foster partnerships, and accelerate growth opportunities. His appointment underscores CyXcel’s commitment to fortifying its strategic offering and enhancing its position as a leader at the nexus of risk analysis, response management and incident resolution. His vast experience in go-to-market strategies and M&A will be instrumental in driving CyXcel’s growth and expansion initiatives.
Church has held executive leadership positions at market-leading cybersecurity and technology companies such as Maxive Cyber Security (acquired by Thales), Optiv, Vodafone, NTT Security, Verisign, and NetIQ. His experience includes strategic roles  in identity management, networking, and managed services and he brings a strong track record of delivering commercial growth, including leading on commercial acquisitions. 
In addition to his role at CyXcel, Church serves as Chair of Xalient, a UK-headquartered converged cyber, identity, and networking managed services company. He is also a Board member and strategic advisor to Redshift, as well as a Board member at beqom. Furthermore, Church serves on the Advisory Board of Glasswall, a UK-based security technology company.
Ed Lewis, CyXcel Co-Founder and Managing Partner commented:
“Simon’s unparalleled expertise and proven track record will be invaluable as we continue to innovate and deliver pioneering solutions to our clients worldwide. With Simon’s strategic leadership, we are poised to achieve new heights in our mission to safeguard enterprises and navigate the complex geopolitical, regulatory and legal implications of ever-evolving cyber threats.”
Simon Church said:
“I’m thrilled to be joining such an experienced and ambitious team and the CyXcel offer is unlike any I’ve ever seen. CyXcel has already established itself as a trusted partner in empowering organisational awareness and responsiveness to the financial, existential, and strategic complexities of global cyber threats. I look forward to delivering rapid growth around the world by developing and executing initiatives that provide unparalleled protection and value to our clients.”
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IBM Introduces New Microsoft Copilot Capabilities to Fuel AI-Powered Business Transformation

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ARMONK, N.Y., May 9, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced the availability of IBM Copilot Runway, a new offering from IBM Consulting designed to help enterprises create, customize, deploy and manage copilots including Copilot for Microsoft 365. With the new offering, clients will be able to seamlessly integrate copilots’ generative AI into their organizations in order to enhance productivity and drive business success. IBM Consulting has also formed a dedicated practice of consultants with Microsoft copilot skills, credentials and expertise to guide clients on their AI transformation journey.

As part of the new offering, IBM will work with clients to build custom copilots that can be tailored to fit the needs of specific business scenarios and efficiently deployed to help reduce the time and effort often required for implementations. IBM will initially focus on helping clients across priority use cases, including customer and field service, employee experience, and procurement and finance – as well as specific industries, like financial services, retail and CPG, government, and supply chain. These use cases will include:
The Procurement and Finance Contract Copilot which assists specialists in extracting valuable insights from contracts.The Customer Service and Field Service Copilot which gives agents and technicians access to self-service options and a time-saving generative AI search.The Employee Experience Copilot which is designed to enhance employee engagement.                                                                            IBM and Microsoft already serve clients across a variety of industries with a range of AI solutions and services. In fact, IBM Consulting worked with Virgin Money to develop and launch Redi, a conversational virtual assistant that helps credit card customers in the Virgin Money credit card app. Redi, powered by Virgin Money’s suite of Microsoft Copilots, is a testament to the power of partnership.
“Our customers tell us how much they enjoy interacting with Redi in the Credit Card app,” said Adam Paice, Head of Digital Proposition, Virgin Money. “Our partnership with IBM has helped us to get the most out of Microsoft Copilot to find a balance between innovation and control.”  
IBM Consulting is also scaling its Microsoft copilot capabilities and capacity across its network of Global Innovation Centers on each continent. For example, these capabilities are being used to co-create solutions with clients at IBM Consulting’s new IBM-Microsoft Experience Zone in Bangalore, India – a first of its kind in our collaboration.
At the Experience Zone, clients from around the world and across industries are working together with IBM Consulting in various technology stations to co-ideate and co-create generative AI-powered solutions – leveraging Microsoft technologies, including Copilot. Later this year, IBM Consulting plans to open additional IBM-Microsoft Experience Zones in Romania, U.K. and U.S., where clients in these regions can explore the power of Copilot. In addition IBM and Microsoft hosted a second client-focused hackathon with 800 participants, including clients and experts to build solutions leveraging Microsoft copilot – with winners to be announced this quarter.
“As IBM and Microsoft strengthen our partnership, we’re poised to empower more clients with Microsoft Copilot, supercharging productivity and boosting creativity through the power of generative AI,” said John Granger, Senior Vice President, IBM Consulting. “Our dedicated IBM Consulting Microsoft practice, along with Copilot-focused Experience Zones around the world, help us meet clients where they are and bring them the right generative-AI-enabled solutions for their businesses.”
“Clients need the right partners and technology to scale AI responsibly across the enterprise,” said Dinis Couto, General Manager of Global Partner Solutions for Microsoft. “With IBM’s dedicated group of Microsoft Copilot experts, we’re confident we can help more clients unlock the full potential of generative AI for their businesses.”
IBM purchased Copilot for Microsoft 365 for its practitioners. To continue building on the partnership, IBM has also invested in growing its team of experts and capabilities through acquisitions, like Neudesic and Bluetab.
IBM Consulting practitioners work with a range of leading AI software technologies and multiple models from both IBM and its strategic partners like Microsoft. IBM data and AI consultants typically employ multiple models, each applied to a specific use case. Different models can be optimized for specific tasks, enhancing performance and efficiency.
Microsoft is a trademark of Microsoft Corporation in the United States, other countries, or both.
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s long-standing commitment to trust, transparency, responsibility, inclusivity and service.
Visit www.ibm.com for more information.
Media Contact:IBMCarolyn [email protected]
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Inceptio-Powered Autonomous Trucks Surpass 100 Million Kilometers in Safe Commercial Operations

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Major Milestone Advances Autonomous Heavy-Duty Truck Commercialization
SHANGHAI, May 9, 2024 /PRNewswire/ — Inceptio Technology (“Inceptio,” or the “Company”), an industry leading developer of autonomous driving technologies for heavy-duty trucks, today announced that heavy-duty trucks powered by the Inceptio Autonomous Driving System and its Truck Navigate-on-Autopilot (T-NOA) capabilities have surpassed the significant milestone of 100 million kilometers in safe commercial operations, reinforcing Inceptio’s global leadership in the commercialization of autonomous trucks.

This achievement underscores how L3 and L2+ autonomous heavy-duty trucks have been successfully deployed across the line-haul logistics sector, including express delivery, less-than-truckload (LTL) transportation, as well as contract logistics. This also reflects the significant value that autonomous trucks offer logistics operators. 
Accelerating the Adoption of Autonomous Trucks Across the Line-Haul Logistics Sector
Inceptio-powered trucks surpassed 50 million kilometers of safe commercial operations in August 2023. Building on this success, Inceptio rapidly expanded the number of compatible truck models and surpassed the 100-million-kilometer mark by the end of April 2024.
Inceptio’s Autonomous Driving System covers 83% of China’s national highways connecting 7 major economic zones. Over the course of the 100 million kilometers, a total of 1,864 drivers safely used Inceptio-powered L3 and L2+ trucks in their daily operations.
Current customers include all the top logistics companies in China such as ZTO Express (NYSE: ZTO and HKEX: 2057), YTO Express (HKEX: 6123), STO Express (SZSE: 002468), JD Logistics (HKEX: 2618), and SF Express (SHE: 002352). Inceptio has also established an extensive footprint across the contract logistics segment including cold chain, automotive, beverages, and fast-moving consumer goods among many others, serving global brands like Budweiser and Nestlé. Inceptio’s autonomous driving technology caters to a diverse user base—from big logistics companies to small fleets and individual operators.
Inceptio has partnered with several leading Chinese truck manufacturers to pre-load mass produced trucks with the Inceptio Autonomous Driving System. These partnerships have expanded the number of trucks Inceptio powers and include popular models from Dongfeng, Sinotruk, Foton and Liuqi that are available in both 4×2 and 6×4 axle configurations to meet the diverse needs of the line-haul logistics sector.
Paving the Way for Greater Commercialization with Safer, More Efficient, and Profitable Operations
Over the course of 100 million kilometers, Inceptio has demonstrated how its autonomous driving technology and its T-NOA capabilities are paving the way for greater commercial deployment across the line-haul logistics with safer, more efficient, and profitable operations.
The majority of the routes large express delivery companies in China use exceed 500 kilometers in length. Two drivers are commonly assigned to each traditional truck on these routes and take shifts driving in order to minimize fatigue and ensure safety when meeting tight shipping schedules. Inceptio’s solution makes driving much less physically and mentally exhausting as it handles more than 90% of the journey. Express delivery companies have been able to significantly reduce the number of drivers per truck and labor costs on these same routes as a result. On routes ranging from 500 to 1,200 kilometers, Inceptio has realized a direct shift from two drivers per truck to one, resulting in a significant 40% to 50% reduction in labor costs. On routes that exceed 1,200 kilometers where an autonomous truck relay model has been deployed, a traditional assignment of 6-8 drivers per three trucks has been reduced to 5. Likewise, a traditional assignment of 8-10 drivers per 4 trucks has been reduced to 6, resulting in a substantial decrease in labor costs and improved driver satisfaction.
The benefits are equally strong for contract logistic companies, both large and small. Huatai Logistics for example, a contract logistics company specializing in automotive parts transport on routes that average 1,500 kilometers, has seen its driver-to-truck ratio decrease from two to one by using Inceptio-powered trucks. Combined with a reduction of 3-5 liters in fuel consumption per 100 kilometers, total cost of ownership per kilometer decreased by 7-15%. The stellar safety record and enhanced driving comfort offered by autonomous trucks improved fleet-attendance rates significantly and increased monthly kilometers per truck by as much as 10%.
Some individual operators have also seen increases of 10-20% in monthly kilometers per truck and 2,500-5,500 RMB in monthly net income due to the fundamental improvement of safety and driving comfort offered by Inceptio-powered autonomous trucks. The fuel-saving benefits of autonomous trucks are particularly attractive for individual operators.
Leveraging Data Assets to Enhance Inceptio’s Autonomous Driving Technology
Inceptio leverages its powerful, data-driven R&D system to rapidly iterate and enhance its autonomous driving technology. This system, which incorporates accurate and efficient data capturing, automated cloud processing, advanced scenario mining, and automatic annotation, allows Inceptio to continuously refine its industry-leading T-NOA algorithm in real-time. This focus on real-world data is a key driver of Inceptio’s competitive edge in the autonomous driving technology landscape.
Julian Ma, founder and CEO of Inceptio Technology, commented, “Inceptio’s autonomous driving technology and its T-NOA capabilities are making significant progress in their commercialization, allowing us to rapidly surpass the 100-million-kilometer milestone after hitting 50 million kilometers only eight months ago. The impact our technology is having on the logistics industry is profound. The commercial deployment of Inceptio-powered autonomous trucks across the line-haul logistics sector is exciting, but what’s truly inspiring is the creativity and innovation our customers bring to the table. This user-driven approach is pushing the boundaries of how these autonomous trucks are used, opening up new ways to deploy our technology. The more data we gather, the faster we will be able to enhance our algorithms and improve our full-stack solution. We will continue working closely with our truck OEM partners to offer even greater safety, efficiency, and profitability to logistics customers.”
About Inceptio Technology
Inceptio Technology is an industry leading developer of autonomous driving technologies for heavy-duty trucks. Its flagship technology is the Inceptio Autonomous Driving System, a proprietary full-stack solution. Inceptio partnered with leading OEMs to roll out the industry’s first mass-produced L3 autonomous trucks in late 2021. These trucks are operated nationwide in China by customers across the line-haul logistics sector including express delivery, less-than-truckload (LTL) transportation, and contract logistics. Inceptio is at the cutting edge of developing fully driverless trucks. In 2022 it became the first company in China to receive a public road-testing permit for driverless autonomous heavy-duty trucks.
For more information on Inceptio Technology, visit https://en.inceptio.ai/ 

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