Artificial Intelligence
Artificial Intelligence in Agriculture Market Size Worth $4.2 Bn by 2028 | AI in Agriculture Industry Expected CAGR 25.1% | Vantage Market Research
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WASHINGTON, Feb. 02, 2023 (GLOBE NEWSWIRE) — Vantage Market Research analyses that the Artificial Intelligence (Al) in Agriculture Market is expected to reach $ 4.2 Billion by 2028, which is $ 1.1 Billion in 2022, at a CAGR of 25.1% during the forecast period.
Vantage Market Research has recently published comprehensive business research on Artificial Intelligence in Agriculture Market including historic data, present market trends, future product environment, marketing strategies, technological innovation, upcoming technologies, emerging trends or opportunities, and the technical progress in the related industry. Al in Agriculture Market research report gives critical information about the market and business landscape. It suggests how the company is perceived by the target customers and clients that are desired to reach. The report helps us understand how to connect with customers, how to stack up against the competition, and how to plan the next steps. It plays an important role in the process of developing products and services, bringing them to the marketplace, and marketing them to consumers. For many businesses, Artificial Intelligence in Agriculture Market report acts as a key component in developing marketing strategy by providing a fact-based foundation for estimating sales and profitability.
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Al in Agriculture Market Overview
According to Vantage Market Research, some of the key factors anticipated acceleratingthe Al in agriculturemarket growth over the forecast period.The rise in the market for agriculture-related artificial intelligence can be attributed to the expanding use of information management systems and cutting-edge technologies for increasing agricultural yield using deep learning techniques. To meet the growing demand for food on a global scale, increased agricultural output is also necessary.
We forecast that the machine learning category in Al in agriculturemarketsales will account for more than 30% of total sales by 2028. To increase farm productivity and gain a competitive edge in business operations, agricultural organizations and farmers worldwide are embracing machine learning-enabled solutions in significant numbers. The use of machine learning in various agricultural practices is anticipated to grow rapidly in the upcoming years.
North America dominates Al in the agriculture market, and this trend of dominance will continue throughout the projection period. The market is anticipated to expand further due to the region’s booming artificial intelligence market and top-tier industrial automation industry. North America is characterized by its expanding purchasing power, ongoing automation, significant IoT investments, and growing government focus on developing domestic A.I. equipment.
Top Players in the Global Al in Agriculture Market
- I.B.M. Corporation (U.S.)
- Microsoft Corporation (U.S.)
- Bayer AG (Germany)
- Google L.L.C. (U.S.)
- John Deere & Company (U.S.)
- A.A.A Taranis Visual Ltd. (Israel)
- AgEagle Aerial Systems Ltd. (U.S.)
- Gamaya SA (Switzerland)
- AGCO Corporation (US)
- A.G. Leader Technology (U.S.)
- Trimble Inc. (U.S.)
- Granular Inc. (U.S.)
- Raven Industries Inc. (U.S.)
For Additional Information on Al in Agriculture Market Players and Detail List, Download a Report PDF Brochure
Market Dynamics
Increased Use of Smart Sensors in Agriculture:
The rising usage of smart sensors in agriculture is a key trend in the A.I. in the agriculture market. Thanks to sensor-based technology, farmers can precisely map their fields, track crop treatment items, and administer them where needed. Farmers gain from the development of various operations explicit sensors, including soil moisture sensors, position sensors, airflow sensors, and weather sensors, which help them monitor and maximize their yields while also allowing them to adjust to changing environmental factors.
Shortage of Labour:
For several reasons, there has been a dramatic decrease in the workforce worldwide. Automated agricultural operations are emerging due to this decline, linked to a lack of skilled workers, elderly farmers, and young people’s disinterest in farming as a profession. As a result, governmental and private institutions are being driven by the trend of a declining workforce in agriculture to focus on automating operations by using artificial intelligence technologies in the industry.
Increased Adoption of Agricultural Drones:
Drones with hyperspectral, multispectral, or thermal sensors can spot locations that need their irrigation schedules changed. Once crops have begun to grow, these sensors may use the heat signature of the crop to generate the vegetation index, an AI-based indication of health. Although chemical spraying is unpopular, it is a necessary component of industrial agriculture. Fortunately, intelligent farming drones are minimizing their negative environmental effects. Sprayers and other specialized UAV (Unmanned Aerial Vehicle) technology, including lasers and ultrasonic echoing devices, can measure distance with extreme precision. As a result, there is a significant decrease in the overall amount of spray and chemicals that enter the groundwater.
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Recent Developments
- May 2022: AGCO acquired JCA Industries to increase engineering and software development capabilities and to accelerate the development of highly automated and autonomous machines.
- April 2022: Deere & Company and GUSS Automation formed a joint venture with an LLC in Kingsburg, Calif. Global Unmanned Spray System (GUSS) is a pioneer in semi-autonomous sprayers for orchards and vineyards.
- March 2022: As demand for industry-leading Ag Tech accelerates, Raven’s facilities expansions in Arizona and South Dakota are likely to enhance the development in AI, autonomy, Machine Learning, and core technology.
Top Trends in Global Al in agriculture Market
- One trend that Vantage Market Research (V.M.R.) expects to see in the Al in the agriculture industryis yield production. A further area in which A.I. can benefit farmers is yield prediction. Artificial intelligence algorithms can forecast future yields for farmers by examining previous data and the current environment. Farmers who plan their production with the aid of this knowledge can make sure they have the right resources available when they’re needed.
- Another trend that V.M.R. predicts will continue in the Al agriculture industryis rising precision farming. Precision farming is a method of farming that uses cutting-edge technology to maximize harvests. This entails using sensors and data analysis to understand better and manage crops, soil, water, and other resources. Precision farming is greatly aided by artificial intelligence (A.I.), which may provide farmers access to real-time data about their crops and fields.
Top Report Findings
- Based on type, most of the Al in the agricultureMarket’s revenue is controlled by the product category.A significant portion is anticipated to be allocated for agricultural input/output software (AISO) providers in the products, which is dominated by machine learning for crop scouting and yield prediction.
- Based on technology, the machine learning category dominated Al in the agriculture market, and this trend is anticipated to continue. Agricultural organizations and farmers widely use machine learning-enabled solutions worldwide to increase farm production and gain a competitive edge in market operations.
- Based on application, the precision farmingcategory dominated Al in the agriculture market, and this trend is anticipated to continue. Due to the growing demand for optimum yield from the limited resources available and for lowering crop production costs, the precision farming technique is becoming more and more well-known among farmers.
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Machine LearningCategory inAl in Agriculture Market to Generate Over 30% Revenue
Al in agriculture is an expensive investment. Vantage Market Research has analyzed the market for Al in agriculture to understand its current state and potential future growth factors. For better understanding, based on technologyAl in agriculturemarketis divided into:machine learning, predictive&analytics and computer vision.
During the forecast period, the market for Al in agriculture is anticipated to experience the highest CAGR for the machine learningcategory. Machine learning is pervasive throughout the entire growing and harvesting cycle. A seed is planted in the ground, the soil is prepared, seeds are bred, water feed is measured, and the harvest is picked up by robots that use computer vision to assess ripeness.
On the other hand, the predictive& analyticscategory is anticipated to grow significantly over the forecast period.Predictive analytics is one of the most intriguing technologies being utilised, modified, and developed right now. Predictive &analytics comprise numerous statistical methods, including modeling, machine learning, and data mining.
Browse market data Tables and Figures spread through 145 Pages and in-depth TOC on Al in Agriculture Market Forecast Report (2022-2028).
Global Al in Agriculture Market Segmentation
By Type
- Product
- Service
By Application
- Machine Learning
- Predictive Analytics
- Computer Vision
By Application
- Precision Farming
- Agricultural Robots
- Livestock Monitoring
- Drone Analytics
By Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa
Scope of the Report:
| Report Attributes | Details |
| Market Size in 2021 | USD 1.1 Billion |
| Revenue Forecast by 2028 | USD 4.2 Billion |
| CAGR | 25.1% from 2022 to 2028 |
| Base Year | 2021 |
| Forecast Year | 2022 to 2028 |
| Key Players | IBM Corporation, Microsoft Corporation, Bayer AG, Google LLC, John Deere & Company, A.A.A Taranis Visual Ltd., AgEagle Aerial Systems Ltd., Gamaya SA, AGCO Corporation, AG Leader Technology, Trimble Inc., Granular Inc., Raven Industries Inc. |
| Customization Options | Customized purchase options are available to meet any research needs. Explore customized purchase options |
Regional Analysis
- Europe is estimated to account for the largest market growth due to their farmers manage almost half of the land area for agriculture and it makes dominant industry in Europe. Trend in observing and reporting utensils for indoor and outdoor farms, and delivering a visualization of the farmer’s intact production using computer vision and AI are increasing the AI market in agriculture. The European Soil Data Centre (ESDAC) is the thematic center for soil associated data in Europe, where its goal is to be the single reference point for and to host all appropriate soil data and statistics at European level. AI firms are handling ‘Internet of the Soil’, which is a software and hardware solution for observing soil conditions like humidity, temperature, electrical conductivity, and more in European countries.
- North America region dominates the artificial intelligence (AI) in agriculture market and will continue to flourish its trend of dominance during the forecast period. This is because of the increasing expenditure for research and development proficiencies in this region and strong dominance in artificial intelligence in this region. Asia-Pacific region is projected to undergo substantial during the forecast period and will score the highest CAGR owing to the surging adoption of connected devices technology by the agricultural industry.
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Artificial Intelligence
Clinical Trials Matching Software Market Projected to Reach $832.56 million by 2030 – Exclusive Report by 360iResearch
PUNE, India, April 18, 2024 /PRNewswire/ — The report titled “Clinical Trials Matching Software Market by Functionality (Analytics & Reporting, Compliance Tracking, Data Management), Deployment (Cloud & Web Based, On-Premise), End-Use – Global Forecast 2024-2030” is now available on 360iResearch.com’s offering, presents an analysis indicating that the market projected to grow from a size of $342.20 million in 2023 to reach $832.56 million by 2030, at a CAGR of 13.54% over the forecast period.
“The Global Surge in Adoption of Matching Software for Enhanced Participant Enrollment”
Clinical trials matching software stands at the forefront of revolutionizing clinical research by automating the process of identifying and enrolling eligible participants. These platforms offer a streamlined approach to match patient health profiles with trial requirements, accelerating enrollment and supporting the shift toward personalized healthcare using these advanced AI and ML technologies. Although integrating these systems poses challenges due to variations in healthcare IT infrastructure and the imperative for rigorous data security, the potential for market growth is substantial. In the Americas, a robust clinical trials ecosystem thrives; in the European Union, it has unified regulatory standards and extended to emerging regions such as the Middle East, Africa, and the APAC countries; the demand for such innovative solutions is on a steep rise. This demand is fueled by governmental support, the evolving regulatory landscape, and strategic partnerships to embed these solutions within electronic health records, underscoring a global movement toward optimizing clinical trial processes to better cater to specific patient demographics.
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“The Rise of Virtual Trials and Advanced Matching Software”
The healthcare landscape is witnessing a transformative shift toward virtual clinical trials, fueled by technological advancements and the necessity for continuity during the COVID-19 pandemic. This transition supports research amid social distancing measures and introduces significant cost savings by reducing the need for physical infrastructure and in-person interactions. The efficiencies brought by electronic health records (EHR), wearable technologies, and automation streamline the entire process, from patient recruitment to data analysis. Several approaches, endorsed by regulatory bodies such as the FDA, represent a leap forward in making clinical trials more accessible and streamlined, ensuring that more patients can participate in potentially life-saving research without the geographical and logistic constraints of traditional trials.
“Enhancing Clinical Trials through Advanced Analytics, Rigorous Compliance, and Precision-Patient Matching”
Integrating advanced analytics, meticulous compliance monitoring, and precision-patient matching marks a significant advancement toward maximizing efficiency and fostering trial diversity. The software delivers insightful data on trial progress, participant demographics, and enrollment figures, empowering stakeholders to make well-informed decisions and optimize resource distribution to meet trial goals effectively by implementing cutting-edge analytics. The built-in compliance feature ensures trials are conducted in strict adherence to regulatory standards, minimizing risks associated with non-compliance. Furthermore, a robust data management system guarantees the integrity and availability of clinical trial data, which is critical for the seamless operation and real-time analysis of trials. The software includes state-of-the-art patient matching technology, which employs sophisticated algorithms and artificial intelligence to expedite recruitment by accurately identifying candidates who match specific trial requirements. This innovative approach accelerates the recruitment timeline and enhances the diversification of trial participants, paving the way for more inclusive and representative clinical research outcomes.
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“Medidata by Dassault Systèmes SE at the Forefront of Clinical Trials Matching Software Market with a Strong 11.30% Market Share”
The key players in the Clinical Trials Matching Software Market include International Business Machines Corporation, Science 37, Inc. by eMed, LLC, Medidata by Dassault Systèmes SE, AutoCruitment LLC, Deep 6 AI Inc., and others. These prominent players focus on strategies such as expansions, acquisitions, joint ventures, and developing new products to strengthen their market positions.
“Introducing ThinkMi: Revolutionizing Market Intelligence with AI-Powered Insights for the Clinical Trials Matching Software Market”
We proudly unveil ThinkMi, a cutting-edge AI product designed to transform how businesses interact with the Clinical Trials Matching Software Market. ThinkMi stands out as your premier market intelligence partner, delivering unparalleled insights with the power of artificial intelligence. Whether deciphering market trends or offering actionable intelligence, ThinkMi is engineered to provide precise, relevant answers to your most critical business questions. This revolutionary tool is more than just an information source; it’s a strategic asset that empowers your decision-making with up-to-the-minute data, ensuring you stay ahead in the fiercely competitive Clinical Trials Matching Software Market. Embrace the future of market analysis with ThinkMi, where informed decisions lead to remarkable growth.
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“Dive into the Clinical Trials Matching Software Market Landscape: Explore 190 Pages of Insights, 286 Tables, and 22 Figures”
PrefaceResearch MethodologyExecutive SummaryMarket OverviewMarket InsightsClinical Trials Matching Software Market, by FunctionalityClinical Trials Matching Software Market, by DeploymentClinical Trials Matching Software Market, by End-UseAmericas Clinical Trials Matching Software MarketAsia-Pacific Clinical Trials Matching Software MarketEurope, Middle East & Africa Clinical Trials Matching Software MarketCompetitive LandscapeCompetitive PortfolioInquire Before Buying @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
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Clinical Trial Support Services Market – Global Forecast 2024-2030Virtual Clinical Trials Market – Global Forecast 2024-2030Clinical Trials Management System Market – Global Forecast 2024-2030About 360iResearch
Founded in 2017, 360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.
We are a dynamic, nimble company that believes in carving ambitious, purposeful goals and achieving them with the backing of our greatest asset — our people.
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BOSTON, April 18, 2024 /PRNewswire/ — The RepTrak™ Company, the world’s leading reputation data and insights company, released its annual Global RepTrak 100 report. Utilizing its advanced reputation monitoring software, RepTrak gathered data from more than 243,000 survey responses across 14 major economies to rank the world’s 100 most reputable companies. They share that ranking alongside a full analysis of global corporate reputation trends and corresponding public sentiment in the 2024 report.
After two years of consecutive Reputation Score declines, this year’s Score is back up with an increase from 73.2 in 2023 to 73.8 in 2024. It’s a small increase after 2023’s full one-point drop. However, it’s an encouraging sign that companies have begun to recover from reputation falls driven by many challenges: macroeconomic issues, workplace difficulties, product problems, and corporate responsibility skepticism.
“This year’s report underscores a pivotal shift in the corporate landscape, spotlighting the remarkable adaptability and dedication of the Top 100 companies in responding to the dynamic needs of stakeholders,” states RepTrak CEO Mark Sonders. “The companies featured in our report are not just riding the wave of change; they are the ones steering it, proving that the best approach to business is one that embraces evolution and champions progress.”
RepTrak’s report explores how people thought, felt, and acted toward companies over the past year. Findings include notable increases in Conduct and Citizenship efforts, stakeholders’ rising willingness to invest, culturally resonant brand communications, and ESG Scores that soared despite skepticism around the acronym.
To read the full 2024 Global RepTrak 100 report, please visit: www.reptrak.com/globalreptrak
About RepTrak
The RepTrak™ Company is the world’s leading reputation data and insights company. We help companies by organizing and grading a variety of reputational elements, offering a real-world report card on their corporate reputation. Subscribers to the RepTrak program use our predictive insights to protect business value, improve return on investment, and increase their positive impact on society. RepTrak’s pairing of advanced metrics and dedicated reputation advisors offers clients an actionable analysis of their reputation data, aligning business objectives with stakeholder sentiment across different markets and sectors.
Established in 2004, The RepTrak Company owns the world’s largest reputation benchmarking database, gathering over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide. For more information, please visit: www.reptrak.com
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Artificial Intelligence
Group-IB takes part in a global operation to cripple Canadian Phishing-as-a-Service provider LabHost
SINGAPORE, April 18, 2024 /PRNewswire/ — Group-IB, a leading cybersecurity company aimed at investigating, preventing, and fight digital crime announced today that it participated in a coordinated global takedown operation against prominent Canadian Phishing-as-a-Service (PhaaS) provider LabHost, which has led to the arrest of 37 suspects across the United Kingdom and around the world by law enforcement agencies. As part of the operation, Group-IB also conducted an extensive analysis of LabHost’s criminal history and infrastructure, including insights into LabHost’s administrative platform and the services it provides to its purported user base which exceeds 2,000 subscribers worldwide, who illegally obtained around 480,000 card numbers, 64,000 pin numbers, and over 1 million passwords from victims used for websites and other online services, according to law enforcement agencies.
“By leveraging our Threat Intelligence and Digital Risk Protection, we are able to identify and monitor phishing attacks and websites like those deployed by LabHost and its subscribers around the world, enabling us to actively alert and protect our customers, and in turn, their customers as well,” said Dmitry Volkov, Chief Executive Officer of Group-IB. “Today’s takedown operation demonstrates the agility and responsiveness of our decentralized Digital Crime Resistance Centers, and how quickly we can provide immediate and local assistance wherever our customers may be.”
First uncovered in late 2021, LabHost emerged as a fully automated Phishing-as-a-Service (PhaaS) platform, streamlining the creation of phishing websites meticulously mirroring the interface and functionality of prominent banking, postal, and financial entities, aimed at intercepting, seizing, and profiting from users’ personal, credit card, and online banking credentials. Users are prompted to select from various “membership plans,” tailored to target businesses and individuals in either the United States and Canada, or globally, akin to mobile subscription models. These plans encompass “standard,” “premium,” and “world membership” tiers, priced between US$179 and US$300 monthly, with options for monthly, quarterly, or annual billing cycles.
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