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Artificial Intelligence

AI in Agriculture Market Size is Expanding Around USD 11,130 Million by 2032

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Ottawa, Aug. 03, 2023 (GLOBE NEWSWIRE) — The global artificial intelligence in agriculture market size will reach at USD 7,320 million in 2030. Artificial Intelligence (AI) in Agriculture refers to the integration of advanced computational technologies and algorithms to enhance various aspects of agricultural practices and farming operations. It involves the application of AI techniques, such as Machine Learning, Deep Learning, computer vision, Natural Language Processing (NLP), and robotics, to collect, analyze, and interpret data related to agriculture. AI in Agriculture enables farmers and agricultural stakeholders to make informed decisions, optimize resource utilization, and address agronomic challenges more effectively.

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By leveraging AI, farmers can gain valuable insights from vast amounts of data gathered from diverse sources, including weather patterns, soil conditions, crop health, historical farming data, and other relevant information. Some of the key applications of AI in Agriculture include precision farming, crop monitoring and management, predictive analytics, autonomous machinery and robotics, livestock monitoring, and supply chain management. These AI-powered solutions help improve productivity, reduce waste, minimize environmental impact, and promote sustainable agricultural practices.

Regional Insights

North America is expected to capture the largest market share over the forecast period. The region has been at the forefront of adopting precision farming practices, which heavily rely on AI technologies. Precision farming enables farmers to optimize resource usage, improve crop yields, and reduce environmental impact through data-driven decision-making. Moreover, Governments in North America have recognized the potential of AI in revolutionizing agriculture and have been supporting research, development, and implementation through various initiatives, grants, and partnerships. Furthermore, the region has a well-developed IT infrastructure and widespread internet connectivity creating a favorable environment for the adoption of AI technologies in agriculture. This facilitates the collection and transfer of data for analysis and decision-making. Thus, these factors support the market growth in the region.
The Asia Pacific is expected to grow at the fastest rate over the forecast period. The region has been increasingly adopting precision farming practices, which rely on AI technologies for data-driven decision-making and resource optimization. Precision farming enables farmers to tailor their agricultural practices to specific conditions and achieve higher productivity. Additionally, countries in the Asia Pacific have been investing in the development of AI-driven agricultural robotics and autonomous machinery. These technologies help address labor shortages, reduce human-intensive tasks, and improve overall farm efficiency. Thereby, driving the market expansion in the region.

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Report Highlights

  • By component, the software segment is estimated to hold the largest share of the market throughout the forecast period. The farmer can remotely monitor various farm areas by installing sophisticated software in sensors, cameras, and other surveillance devices that are installed at specific positions throughout the farm.
  • By technology, the predictive analysis segment is expected to grow at a significant pace during the forecast period. By identifying patterns and trends, the models of predictive analysis technology can provide accurate predictions of crop yields for the upcoming seasons. This information helps farmers plan their resources, optimize input usage, and estimate potential revenue.
  • By application, the drone analytics segment is expected to grow at the notable rate over the analysis period. Drone analytics in agriculture is a powerful application of drone technology combined with data analytics to optimize farming practices, enhance crop monitoring, and improve overall agricultural efficiency. Drones equipped with various sensors and cameras are deployed over farmlands to collect high-resolution imagery, multispectral data, and other relevant information. This data is then processed and analyzed using advanced data analytics techniques, including Machine Learning (ML) and Deep Learning algorithms, to provide valuable insights to farmers and agricultural stakeholders. These elements promote the segment’s growth.

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Scope of this report

Coverage Details
Market Size in 2030 USD 7,320 Million
CAGR 23.3% from 2023 to 2032
North America Market Share 39% in 2022
Predictive Analytics Segment Share 47% in 2022
Key Players Microsoft, Granular, Inc., AgEagle Aerial Systems Inc., The Climate Corporation, Deere & Company, Descartes Labs, Inc., IBM Corporation, Prospera Technologies, GAMAYA, aWhere Inc., Taranis, ec2ce, VineView, PrecisionHawk, Tule Technologies Inc., and Others

Market Dynamics

Driver

Increasing adoption of drones

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Drone analytics and AI integration in agriculture have a huge potential to improve sustainability, save costs, and optimize agricultural operations. Farmers may make data-driven choices, optimize resource allocation, and increase production by using AI to evaluate data collected by drones. A drone’s high-resolution cameras and sensors may also collect a ton of information on the crops, the soil, and the features of the field. Farmers may learn important information about crop health, nutritional levels, insect infestations, and other aspects affecting agricultural output by combining this data with AI-powered analytics. Thus, the growing adoption of drone analytics is expected to drive market growth over the projected period.

Restraint

Data privacy and lack of awareness

AI systems in agriculture collect and process sensitive data related to farming practices, crop yields, and financial information. Ensuring data privacy and protection from cybersecurity threats is vital to build trust and encourage data sharing among stakeholders. In addition, many farmers may not be aware of the potential benefits and applications of AI in agriculture. Raising awareness and educating farmers about the capabilities of AI technologies can promote their adoption and utilization. Thus, data privacy and lack of awareness is observed to hamper the market growth.

Opportunity

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Rapid adoption of advanced technologies

The faster adoption of cutting-edge technologies, including GPS, variable rate technology, mapping software, and data management software, has greatly increased agricultural output. The use of mapping software has significantly improved the capability to estimate agricultural production and track crop health using satellite photos and other input data. The farmer is helped in determining how much pesticide and herbicide needs to be sprayed on crops by the quick use of several types of sensors to detect different soil and ambient variables including PH level, moisture, and nutrient level. In addition, the use of modern robotics like drones and UAVs with a penetration of artificial intelligence techniques helps with the collecting of crucial data on things like plant count, irrigation, spraying, and crop health. Currently, trackers are also used to follow livestock. The farmer’s capacity to determine the different weather patterns, soil conditions, and other qualities and choose which crops are best suited for his farm would be substantially enhanced by the collection of data regarding so many critical elements in a single database. Thus, the rapid adoption of advanced technologies is expected to provide a lucrative opportunity for market growth over the analysis period.

Challenge

Data accessibility and quality  

AI algorithms rely heavily on large and diverse datasets to train and make accurate predictions. In some regions, access to reliable and extensive agricultural data can be limited. Additionally, ensuring the quality and accuracy of data is crucial for the effectiveness of AI solutions in agriculture. Thus, this is expected to act as a major challenge for the market growth during the forecast period.

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Related Reports

  • Fertilizer Market – The global fertilizer market was estimated at USD 207.93 billion in 2022 and it is expanding around USD 271.6 billion by 2030 with a CAGR of 3.4% from 2022 to 2030.
  • Agricultural and Farm Machinery Market – The global agricultural and farm machinery market was valued at USD 184 billion in 2021 and it is expanding around USD 374 billion by 2030 with a CAGR of 8.2% from 2022 to 2030.
  • Agricultural Drone Market – The global agricultural drone market was valued at USD 1.1 billion in 2022 and it is expanding around USD 7.19 billion by 2032 with a CAGR of 20.7% from 2023 to 2032.
  • Regenerative Agriculture Market – The global regenerative agriculture market was valued at USD 975.20 million in 2022, and it is expanding around USD 4,290.92 million by 2032 with a CAGR of 15.97% from 2023 to 2032.

Recent Development

  • In May 2022, JCA Industries was acquired by AGCO to expand its engineering and software development skills and quicken the creation of highly automated and autonomous machinery.
  • In April 2023, to give farmers insights into their water usage, IBM and Texas A&M AgriLife worked together. These insights can increase agricultural output while minimizing financial and environmental costs. Liquid Prep, a technological solution that aids farmers in determining “when to water” in arid areas of the United States, will be implemented and expanded by Texas A&M AgriLife and IBM.
  • In September 2022, AgroCares announced cooperation to include trinamiX’s high-performance technology into their onsite nutrient analysis system, which is the next-generation nutrient scanner solution. TrinamiX is based on mobile NIR spectroscopy and combines reliable hardware with adaptable software to improve on-site decision-making for on-the-spot nutrition monitoring in a variety of sectors.

Market Segmentation
By Component

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning & Deep Learning
  • Predictive Analytics
  • Computer Vision

By Application

  • Precision Farming
  • Drone Analytics
  • Agriculture Robots
  • Livestock Monitoring
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

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Artificial Intelligence

Huawei Wen Tong: 6G Needs to Embrace AI for Shaping Future Network

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SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — At the 6G Conference held in Istanbul, on September 24, 2024, Dr. Wen Tong, Huawei Wireless CTO, delivered a keynote speech on 6G standardization and innovation. With the release of the ITU-R 6G vision framework, the 3GPP will start 6G standardization in 2025. “6G is a new generation of mobile technology, not a simple upgrade of 5G, it should bring new value to users,” said Dr. Tong, “6G is a true intergenerational technological disruption. 6G standard, key technologies, and network architecture should be re-defined based on application scenarios and requirements from 2030 to 2040. 6G should not be another way to implement 5G. Instead, 6G should embrace the AI revolution with a quantum leap and generate new values for the consumers. In this way, 3GPP standards can truly realize the 6G vision and create greater value for the entire industry.”

Centered “6G Standardization Direction” and “6G Innovation Driving Force”, Dr. Tong shared important views on the future architecture, terminal development, and key technologies of 6G.
In terms of architecture design, 6G should go beyond Service-Based Architecture and move towards Application-Driven Network.
5G has already achieved market success and continues to evolve towards 5G-Advanced. 6G will not simply reuse 5G network architecture, without generational and fundamental innovations, which will limit the mobile industry’s aspiration and imagination to dive the innovation in the 6G era. 6G must have obvious cross-generational characteristics and technical breakpoint.
On the core side, reusing the 5G core network will hinder the innovation in AI. We should use Agentic-AI based technology to re-architect 6G Core that goes beyond 5G Service-Based Architecture and support the foundational capabilities of AI, Sensing and NTN , and thus evolve towards the Application Driven Network .
In terms of terminal evolution, 6G user device calls for a breakthrough to lead the success of the entire industry chain.
It is the law of the mobile industry to drive the evolution of the market with the pioneering technology. The 6G networks and 6G terminals must meet the requirements of consumers and vertical industries in the 6G market phase from 2030 to 2040.
Currently, smartphones are evolving to AI terminals to usher in the mobile AI era. In post-MBB era, breakthroughs in terminal technologies will be the key to the evolution of the mobile industry. Therefore, 6G user device calls for a breakthrough towards “Full-AI”, thus to drive 6G network upgrade and the success of the entire industry ecosystem.
In terms of technology development, AI will become a key enabler for 6G with network paradigm shifting.
Twenty years ago, the Internet was the enabler of the technology innovations. Mobile communications embraced the Internet and achieved great business success. Today, AI maybe the disruptive enabler of the latest technology innovations.
6G should embrace the AI revolution with a quantum leap. However, 6G networks should not be limited to generative AI, Artificial General Intelligence (AGI) and Embodiment-AI are the main directions of future AI development. Therefore, AGI should run through the whole process of sensing, reasoning, decision, and action of terminals, wireless networks, and core networks of 6G, to welcome the arrival of a new network paradigm.
At the end, Dr. Tong Wen emphasized the relationship between 5G and 6G: “The global 5G deployment is on the rise and evolving to 5G-Advanced, which not only meets the current requirements of operators, but also protects their investment. Therefore, 6G technologies should not overlap with 5G in technologies and market space. The specifications, technologies, and architecture of 6G must be based on the scenarios and requirements from 2030 to 2040. We should focus on true generational technology disruption, embrace the new opportunities brought by AI, expand the mobile industry in the next generation.”
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Artificial Intelligence

How AIoT shapes the future of mobility: Hikvision at ITS World Congress 2024

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HANGZHOU, China, Sept. 27, 2024 /PRNewswire/ — Hikvision made a significant impact at the ITS World Congress in Dubai with its captivating theme, “Embrace AIoT for safer, smarter, and greener mobility.” Its booth became a hub of innovation, where visitors explored AIoT solutions that are reshaping the transportation landscape, sparking deep conversations on the future of urban mobility.

Road safety revolution: harnessing AIoT for secure transportation
Hikvision’s commitment to road safety was on full display at its booth through the impressive array of AIoT solutions designed to create secure and reliable traffic environments. The company’s technology provides 24/7 traffic monitoring, ensuring continuous oversight of motor vehicles, non-motorized vehicles, pedestrians and environmental factors. This comprehensive, real-time information collection enables traffic managers to prevent accidents and enhance road safety. Among the showcased products was the 20 MP IR ANPR Checkpoint Capture Unit, renowned for its high-definition capture capabilities, bolstering traffic safety measures.
A standout innovation was the integration of advanced radar and camera technologies, ensuring uninterrupted, comprehensive detection even in adverse weather conditions. The Radar-Video Fusion Incident Detection Cameras, featured prominently in the product experience area, enable early detection and warning of potential hazards. They are particularly effective in challenging situations such as curved roads, blind spots at intersections, and obstacles beyond visual range.
Attendees also engaged with onboard monitoring products on the simulated bus, including dome network cameras, which is designed to enhance passenger safety. Driving assistance products, such as the Driver Status Monitor (DSM), were demonstrated to mitigate unsafe driving behaviors and ensure safer journeys.
Urban mobility redefined: smart traffic innovations
In the realm of smarter mobility, Hikvision showcased its multidimensional sensing technology, which integrates visible light sensors, infrared sensors, radar, and sonar. This technology expands perception capabilities, significantly improving traffic management and situational awareness. The use of AI-powered comprehensive sensing elevates incident monitoring and violation detection to unprecedented levels of accuracy and efficiency.
A major attraction was the Radar-Video Fusion TandemVu PTZ Camera, which integrates millimeter-wave radar with high-resolution cameras for extensive traffic detection and data analysis. AI-based algorithms combine these two systems to enhance target information, detecting up to 16 types of incidents. This leads to the development of a large-scale fusion model that merges spatial physical data with image semantic information. The result is ultra-long-range perception, achieving over 95% accuracy in vehicle trajectory detection. This robust system improves traffic violation management and optimizes traffic flow, significantly enhancing road efficiency.
At the simulated bus station, visitors observed how AI-assisted people counting automated the collection of passenger flow statistics at peak stop hours and bus line frequency during busy periods. Paired with smart bus stop digital signage, the solution improves bus service quality, operational efficiency, passenger experience, and overall public transport effectiveness.
Sustainable transportation: leading the charge for greener cities
Hikvision’s commitment to sustainable urban mobility was evident through its innovative green wave technology and eco-friendly checkpoint solutions. Green wave technology efficiently manages traffic flow to reduce congestion and lower carbon emissions, aligning with global sustainability goals. Visitors were particularly impressed by a case study showcasing a green wave solution implemented in Zhoushan, China. Over a stretch of 21 kilometers and 34 intersections, this main road cut travel times by 50%.
The use of DarkFighterX technology in checkpoint cameras also received significant attention. This technology senses both visible and invisible light, resulting in more accurate and realistic images. It enhances traffic violation enforcement efficiency while minimizing the need for high ambient light levels, thus reducing light pollution. The 9M DarkfightX ANPR Checkpoint Camera exemplified this dedication to environmental stewardship.
Frank Zhang, President of Hikvision MEA, remarked, “Hikvision supports sustainable urban planning by empowering traffic departments to address congestion and transportation challenges.” He further emphasized, “Our system’s openness fosters a secure and reliable platform for developing smart and green cities. Additionally, our solar technology is extensively utilized in remote areas, while our smart street lighting solutions reduce energy consumption by 20-30%, promoting intelligent urban transportation and advancing global sustainability objectives.”
Hikvision’s presence at the ITS World Congress in Dubai underscored its leadership in integrating AIoT technologies to drive safer, smarter, and greener mobility solutions. The engaging presentations and advanced product demonstrations captured significant attention from industry partners and customers, reaffirming the company’s role as a pioneer in shaping the future of urban transportation. As the world moves towards more intelligent and sustainable transportation systems, Hikvision remains at the forefront, embracing AIoT to create a safer, smarter, and greener future for all.
To find out more about Hikvision’s advanced traffic and public transport solutions, please explore the Hikvision official website.
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Artificial Intelligence

Anti-Drone Market worth $7.05 billion by 2029 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Sept. 27, 2024 /PRNewswire/ — The global anti-drone market was valued at USD 2.16 billion in 2024 and is projected to reach USD 7.05 billion by 2029; it is expected to register a CAGR of 26.7% during the forecast period according to a new report by MarketsandMarkets™. Increasing government spending on counter-drone technologies, rising incidence of critical infrastructure security breaches by unauthorized drones, and surge in adoption of aerial remote sensing technologies to safeguard critical infrastructure are attributed to the demand for anti-drone.

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Browse in-depth TOC on “Anti-Drone Market” 178 – Tables61 – Figures253 – Pages
Anti-Drone Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 2.16 billion
Estimated Value by 2029
$ 7.05 billion
Growth Rate
Poised to grow at a CAGR of 26.7%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By System Type, Application, Platform type, Vertical, and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Vulnerability to hacking
Key Market Opportunities
Emphasis on improving unmanned aircraft systems technology
Key Market Drivers
Growing number of illicit activities
By System Type: Hybrid systems to account for the larger market share in the forecasted year.
The hybrid segment accounted for the largest share of the anti-drone market in 2029. The trends of integrating multiple anti-drone technologies are rising since they are most effective in detecting, tracking, and neutralizing drone threats. These systems merge electronic, kinetic, and lasers, providing a comprehensive defense solution against UAVs. Hybrid systems use electronic, kinetic, and laser-based countermeasures to offer optimum protection against drones. These systems are designed to detect, track, identify, categorize, and mitigate drones at operational wide ranges ranging from a few km up to tens of km.
By Platform: The ground-based segment accounted for the largest market share in the forecast year.
The ground-based segment will hold a major share of the anti-drone market in 2029. Many ground-based anti-drone systems use several electronic technologies, such as radar, IR sensors, acoustic systems, and RF & GNSS jammers. MESA radar solutions are used mostly for counter-UAS purposes, protecting critical infrastructure, military camps, and other security-sensitive sites from unauthorized drones. One such solution is EchoGuard, a ground-based airspace management solution that contains a software-defined 3D radar that can be specific to the site. This system can identify single or multiple off-chance drones, including swarms in unauthorized areas. They provide accurate and sustained airspace surveillance for the field of view (FOV) they are configured, and both human and AI-monitored visual checks. The system can be easily transported and integrated directly with the command-and-control centers or another identification sensor for portable use, and multiple units of the system can be combined to cover vast areas or lengths of borders. Major providers of ground-based counter-drone systems include companies like EchoDyne Corporation, DeTect, Meteksan Defense, and WhiteFox Defense. Acoustics-based Discovair G2 utilizes patented microphone arrays. With 128 interconnected microphone elements, the Discovair sensor units can establish azimuth and elevation to the target in real-time using advanced digital signal processing.
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By Region: Americas are expected to hold the largest share of the anti-drone market during the forecast period.
Americas is expected to capture the largest share in the anti-drone industry during the forecast period. The growth can be attributed to protecting crucial infrastructure in the region. Governments, particularly in the US, invest in anti-drone systems for military bases, borders, and critical infrastructure. For Instance, in April 2023, RTX secured a USD 237 million contract from the US Army to provide Ku-band Radio Frequency Sensors (KuRFS) and Coyote effectors. These systems are designed to detect and neutralize unmanned aircraft systems (UAS). The contract includes stationary and mobile systems and a specified quantity of effectors, all aimed at enhancing the Army’s operations within the US Central Command region.
Key Players-
The key companies offering anti-drone companies include RTX (US), Lockheed Martin Corporation (US), Leonardo S.p.A. (Italy), Thales (France), and IAI (Israel).
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Drone Sensor Market Size, Share, Industry Growth & Trends by Sensor Type, Platform (VTOL Type, Fixed Wing Type, Hybrid Type), Application (Navigation, Collision Detection & Avoidance, Data Acquisition, Motion Detection, Power Monitoring), End Users and Region – Global Forecast to 2029
Smart Agriculture Market Size, Share, Statistics and Industry Growth Analysis Report by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region (America, Europe, Asia Pacific, Row) – Global Forecast to 2028
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact: Mr. Rohan SalgarkarMarketsandMarkets™ INC. 1615 South Congress Ave.Suite 103, Delray Beach, FL 33445USA: +1-888-600-6441Email: [email protected] Our Web Site: https://www.marketsandmarkets.com/Research Insight: https://www.marketsandmarkets.com/ResearchInsight/anti-drone-market.aspContent Source: https://www.marketsandmarkets.com/PressReleases/anti-drone.asp
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