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Global Artificial intelligence ai in agriculture market Report

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6 days ago

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Artificial intelligence ai in agriculture market Analysis 2025-2034: Industry Size, Share, Growth Trends, Competition and Forecast

According to OG Analysis, a renowned market research firm, the Global Artificial intelligence AI in agriculture market was valued at USD 2.7 billion in 2024. The market is projected to grow at a compound annual growth rate (CAGR) of 24.76%, rising from USD 3.3 billion in 2025 to an estimated USD 25.1 billion by 2034.

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Artificial intelligence ai in agriculture market Overview

The AI in agriculture market is rapidly transforming global farming practices by integrating advanced technologies such as machine learning, computer vision, robotics, and data analytics into daily operations. AI enables precision agriculture by analyzing real-time soil, weather, and crop data to optimize planting, irrigation, fertilization, pest control, and harvesting processes, thereby maximizing yield and minimizing resource wastage. This revolution is driven by the need to meet rising food demand, mitigate labour shortages, and address environmental sustainability goals under changing climatic conditions. Leading agricultural equipment manufacturers and AgTech startups are offering integrated platforms combining AI software with drones, sensors, autonomous tractors, and robotic harvesters to support large-scale and smallholder farmers alike. Governments worldwide are launching funding initiatives and smart agriculture programs to accelerate adoption, while universities and research centres continue to develop advanced models for yield prediction, disease detection, and soil health assessment. The market is also witnessing strategic collaborations between technology firms and agribusinesses to provide end-to-end solutions that integrate farm management systems, cloud platforms, and AI-enabled advisory services.

However, the market faces challenges such as high initial investment costs, digital skill gaps among farmers, fragmented data standards, and limited rural connectivity in emerging economies. Despite these barriers, AI applications in agriculture continue to expand, covering automated irrigation scheduling, autonomous seeding and weeding, drone-based field mapping, livestock health monitoring, and AI-driven supply chain optimisation. Precision irrigation using AI-based soil moisture and weather analytics is gaining strong traction to reduce water usage while improving crop performance. AI-powered cameras and computer vision tools are enhancing crop health monitoring and pest detection accuracy, reducing chemical usage and boosting sustainability. Additionally, advancements in generative AI are enabling customised agronomy recommendations and predictive insights tailored to local farm conditions. Looking ahead, AI is set to become an indispensable tool for global agriculture, supporting climate-smart practices, improving profitability, and ensuring food security by reshaping how crops and livestock are managed across diverse agricultural landscapes.

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Key Artificial Intelligence AI in Agriculture Market Companies Analysed in this Report include –

Blue River Technology (John Deere)

Climate LLC

Corteva

Deere & Company

Ecorobotix SA

Farmers Edge Inc.

IBM

Microsoft

Trimble Inc.

VALMONT INDUSTRIES, INC.

Key Insights from the report –

Precision Farming with Sensor-Driven Insights

AI systems use real-time data from soil moisture sensors, weather stations, and crop health monitors.

This enables precise control over water, fertiliser, and pesticides, reducing waste and improving yields.

Farmers gain insights to optimise resource allocation and enhance crop performance.

AI-Powered Disease & Pest Detection via Computer Vision

Advanced imaging tools detect crop diseases, nutrient deficiencies, and pest infestations early.

Automated analysis of visual data enables timely interventions and targeted treatments.

This reduces crop loss, chemical use, and environmental impact.

Autonomous Farm Machinery & Robotics

Self-driving tractors and robotic harvesters are being equipped with AI navigation and decision-making capabilities.

These systems perform seeding, weeding, harvesting, and spraying with minimal human oversight.

Automation increases efficiency, addresses labor shortages, and supports large-scale operations.

Generative AI for Agronomy Advisory

AI-driven platforms provide custom recommendations for crop rotation, nutrient application, and yield forecasting.

These insights are tailored to local soil types, weather forecasts, and farm history.

Farmers benefit from data-driven guidance, boosting sustainability and profitability.

Supply Chain & Post-Harvest Optimization

AI tools predict harvest timing, optimize logistics, and monitor produce quality during storage and transport.

This minimizes spoilage, streamlines market delivery, and improves supply chain efficiency.

Data from the field extends to logistics and retail, enhancing end-to-end transparency.

Adoption Catalyzed by Cloud Platforms & Data Integration

Cloud-based farm management platforms are consolidating data from sensors, weather feeds, and machinery.

AI algorithms applied across unified datasets enable scalability and actionable insights.

These platforms support partnerships between agritech firms, OEMs, and service providers for integrated solutions.

Tailor the Report to Your Specific Requirements @ https://www.oganalysis.com/industry-reports/artificial-intelligence-ai-in-agriculture-market

Get an In-Depth Analysis of the Artificial intelligence ai in agriculture market Size and Market Share split –

By Component

Hardware

Software

Service

By Technology

Machine Learning & Deep Learning

Predictive Analytics

Computer Vision

By Application

Precision Farming

Drone Analytics

Agriculture Robots

Livestock Monitoring

Labor Management

Others

By Geography

North America (USA, Canada, Mexico)

Europe (Germany, UK, France, Spain, Italy, Rest of Europe)

Asia-Pacific (China, India, Japan, Australia, Rest of APAC)

The Middle East and Africa (Middle East, Africa)

South and Central America (Brazil, Argentina, Rest of SCA)

DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

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OG Analysis

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About OG Analysis:

OG Analysis has been a trusted research partner for 14+ years delivering most reliable analysis, information and innovative solutions. OG Analysis is one of the leading players in market research industry serving 980+ companies across multiple industry verticals. Our core client centric approach comprehends client requirements and provides actionable insights that enable users to take informed decisions.

This release was published on openPR.



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Ascendion Wins Gold as the Artificial Intelligence Service Provider of the Year in 2025 Globee® Awards

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22 minutes ago

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July 7, 2025

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  • Awarded Gold for excellence in real-world AI implementation and measurable enterprise outcomes
  • Recognized for agentic AI innovation through ASCENDION AAVA platform, accelerating software delivery and unlocking business value at scale
  • Validated as a category leader in operationalizing AI across enterprise ecosystems—from generative and ethical AI to machine learning and NLP—delivering productivity, transparency, and transformation

BASKING RIDGE, N.J., July 7, 2025 /PRNewswire/ — Ascendion, a leader in AI-powered software engineering, has been awarded Gold as the Artificial Intelligence Service Provider of the Year in the 2025 Globee® Awards for Artificial Intelligence. This prestigious honor recognizes Ascendion’s bold leadership in delivering practical, enterprise-grade AI solutions that drive measurable business outcomes across industries.




Ascendion Wins Gold as the Artificial Intelligence Service Provider of the year in 2025 Globee® Awards






Ascendion Wins Gold as the Artificial Intelligence Service Provider of the year in 2025 Globee® Awards

The Globee® Awards for Artificial Intelligence celebrate breakthrough achievements across the full spectrum of AI technologies including machine learning, natural language processing, generative AI, and ethical AI. Winners are recognized for setting new standards in transforming industries, enhancing user experiences, and solving real-world problems with artificial intelligence (AI).

“This recognition validates more than our AI capabilities. It confirms the bold vision that drives Ascendion,” said Karthik Krishnamurthy, Chief Executive Officer, Ascendion. “We’ve been engineering the future with AI long before it became a buzzword. Today, our clients aren’t chasing trends; they’re building what’s next with us. This award proves that when you combine powerful AI platforms, cutting-edge technology, and the relentless pursuit of meaningful outcomes, transformation moves from promise to fact. That’s Engineering to the Power of AI in action.”

Ascendion earned this recognition by driving real-world impact with its ASCENDION AAVA platform and agentic AI capabilities, transforming enterprise software development and delivery. This strategic approach enables clients to modernize engineering workflows, reduce technical debt, increase transparency, and rapidly turn AI innovation into scalable, market-ready solutions. Across industries like banking and financial services, healthcare and life sciences, retail and consumer goods, high-tech, and more, Ascendion is committed to helping clients move beyond experimentation to build AI-first systems that deliver real results.

“The 2025 winners reflect the innovation and forward-thinking mindset needed to lead in AI today,” said San Madan, President of the Globee® Awards. “With organizations across the globe engaging in data-driven evaluations, this recognition truly reflects broad industry endorsement and validation.”

About Ascendion

Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by +11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what’s next. Learn more at https://ascendion.com.

Engineering to the Power of AI™, AAVA™, EngineeringAI, Engineering to Elevate Life™, DataAI, ExperienceAI, Platform EngineeringAI, Product EngineeringAI, and Quality EngineeringAI are trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

About the Globee® Awards
The Globee® Awards present recognition in ten programs and competitions, including the Globee® Awards for Achievement, Globee® Awards for Artificial Intelligence, Globee® Awards for Business, Globee® Awards for Excellence, Globee® Awards for Cybersecurity, Globee® Awards for Disruptors, Globee® Awards for Impact. Globee® Awards for Innovation (also known as Golden Bridge Awards®), Globee® Awards for Leadership, and the Globee® Awards for Technology. To learn more about the Globee Awards, please visit the website: https://globeeawards.com.

SOURCE Ascendion



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Overcoming the Traps that Prevent Growth in Uncertain Times

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49 minutes ago

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July 7, 2025

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An executive’s guide on developing a momentum-building game plan when the future is foggy. by Rachel DuRose

July 7, 2025

Today, with uncertainty a seemingly permanent condition, executives need to weave adaptability, resilience, and clarity into their operating plans. The best executives will implement strategies that don’t just sustain their businesses; they enable growth.





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AI-driven CDR: The shield against modern cloud threats

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2 hours ago

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July 7, 2025

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Cloud computing is the backbone of modern enterprise innovation, but with speed and scalability comes a growing storm of cyber threats. Cloud adoption continues to skyrocket. In fact, by 2028, cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives. The traditional perimeter has all but disappeared. The result? A significantly expanded attack surface and a growing volume of threats targeting cloud workloads.

Studies tell us that 80% of security exposures now originate in the cloud, and threats targeting cloud environments have recently increased by 66%, underscoring the urgency for security strategies purpose-built for this environment. The reality for organizations is stark. Legacy tools designed for static, on-premises architectures can’t keep up. What’s needed is a new approach—one that’s intelligent, automated, and cloud-native. Enter AI-driven cloud detection and response (CDR).

Why legacy tools fall short

Traditional security approaches leave organizations exposed. Posture management has been the foundation of cloud security, helping teams identify misconfigurations and enforce compliance. Security risks, however, don’t stop at misconfigurations or vulnerabilities.

  • Limited visibility: Cloud assets are ephemeral, spinning up and down in seconds. Legacy tools lack the telemetry and agility to provide continuous, real-time visibility.
  • Operational silos: Disconnected cloud and SOC operations create blind spots and slow incident response.
  • Manual burden: Analysts are drowning in alerts. Manual triage can’t scale with the velocity and complexity of cloud-native threats.
  • Delayed response: In today’s landscape, every second counts. 60% of organizations take longer than four days to resolve cloud security issues.

The AI-powered CDR advantage

AI-powered CDR solves these challenges by combining the speed of automation with the intelligence of machine learning—offering CISOs a modern, proactive defense. Organizations need more than static posture security. They need real-time prevention.

Real-time threat prevention detection: AI engines analyze vast volumes of telemetry in real time—logs, flow data, behavior analytics. The full context this provides enables the detection and prevention of threats as they unfold. Organizations with AI-enhanced detection reduced breach lifecycle times by more than 100 days.

Unified security operations: CDR solutions bridge the gap between cloud and SOC teams by centralizing detection and response across environments, which eliminates redundant tooling and fosters collaboration, both essential when dealing with fast-moving incidents.

Context-rich insights: Modern CDR solutions deliver actionable insights enriched with context—identifying not just the issue, but why the issue matters. It empowers teams to prioritize effectively, slashing false positives and accelerating triage.

Intelligent automation: From context enrichment to auto-containment of compromised workloads, AI-enabled automation reduces the manual load on analysts and improves response rates.

The path forward

Organizations face unprecedented pressure to secure fast-changing cloud environments without slowing innovation. Relying on outdated security stacks is no longer viable. Cortex Cloud CDR from Palo Alto Networks delivers the speed, context, and intelligence required to defend against the evolving threat landscape. With over 10,000 detectors and 2,600+ machine learning models, Cortex Cloud CDR identifies and prevents high-risk threats with precision.

It’s time to shift from reactive defense to proactive protection. AI-driven CDR isn’t just another tool—it’s the cornerstone of modern cloud security strategy. And for CISOs, it’s the shield your organization needs to stay resilient in the face of tomorrow’s threats.



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