Connect with us

Technology

Agriculture Analytics market is projected to grow by USD 1.23 Billion from 2024-2028, driven by AI and the rising global population’s food demand, redefining the market landscape- Technavio

Published

on

NEW YORK, Oct. 23, 2024 /PRNewswire/ — Report with market evolution powered by AI – The Global Agriculture Analytics Market size is estimated to grow by USD 1.23 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of 12.97%  during the forecast period. Rising global population boosting food demand is driving market growth, with a trend towards growing mergers and acquisitions in global agriculture analytics industry. However, high cost of implementing analytics in agriculture  poses a challenge – Key market players include A.A.A Taranis Visual Ltd., Accenture Plc, AGCO Corp., AGEAGLE AERIAL SYSTEMS Inc., Agribotix, Bayer AG, Conservis Corp., Corteva Inc., Cropin Technology Solutions Pvt. Ltd., Deere and Co., Farmers Edge Inc., International Business Machines Corp., Iteris Inc., Microsoft Corp., Oracle Corp., PrecisionHawk Inc., SAP SE, Trimble Inc., Vistex, Inc., Wipro Ltd., and Xylem Inc..

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Agriculture Analytics Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 12.97%

Market growth 2024-2028

USD 1228.8 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

12.61

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 44%

Key countries

US, China, UK, Canada, and Japan

Key companies profiled

A.A.A Taranis Visual Ltd., Accenture Plc, AGCO Corp., AGEAGLE AERIAL SYSTEMS Inc., Agribotix, Bayer AG, Conservis Corp., Corteva Inc., Cropin Technology Solutions Pvt. Ltd., Deere and Co., Farmers Edge Inc., International Business Machines Corp., Iteris Inc., Microsoft Corp., Oracle Corp., PrecisionHawk Inc., SAP SE, Trimble Inc., Vistex, Inc., Wipro Ltd., and Xylem Inc.

Market Driver

The agriculture analytics market is witnessing an increase in mergers and acquisitions as companies aim to expand their capabilities and reach. Bayer AG launched a pilot program for a generative AI-powered virtual assistant to assist farmers with crop management, developed in collaboration with Ernst & Young and Microsoft. IBM partnered with The Climate Corporation to create an advanced agriculture analytics solution using IBM’s Watson IoT platform. Deere and Co. Partnered with Nutrien Ag Solutions to optimize logistics and streamline operations. SAP SE collaborated with DeHaat, an agricultural services provider in India, to offer end-to-end services using SAP’s cloud-based ERP solution. These collaborations will drive the growth of the global agriculture analytics market, integrating advanced technologies such as AI, machine learning, and IoT to improve farming outcomes. 

Agriculture analytics is a growing market trend that leverages technology to improve farming efficiency and sustainability. Companies like Farmers Edge lead the way with innovative solutions for crop yield optimization, farm operations, and environmental factors analysis. Sustainability and food security are key drivers, with farmers utilizing weather data analytics for crop growth monitoring and irrigation management. Precision farming techniques, such as positioning systems, navigation satellite systems, drones, and artificial intelligence, are transforming large and medium-size farms. Infrastructure advancements like 5G mobile networks, satellite capabilities, and cloud computing enable real-time data access. Farmers are embracing smart farming practices, including field planning, livestock farming, and sustainable practices. The market is also witnessing the integration of IoT, AI, and vertical farming for crop management. Farm size, cloud deployment, on-premises deployment, data security, and digital agriculture are strategic activities shaping the future of agriculture analytics. 

Request Sample of our comprehensive report now to stay ahead in the AI-driven market evolution!

 Market Challenges

The global agriculture analytics market faces a significant challenge due to the high implementation cost. Advanced analytics integration requires substantial investments in technology and infrastructure, which is a barrier for many farmers and agribusinesses in developing regions. The cost breakdown for various types of smart farming apps is as follows: A simple farm management app, which includes record-keeping, basic analytics, and weather forecasts, costs between USD25,000 and USD65,000. A precision agriculture app with basic sensors, offering real-time data monitoring, basic sensor integration, and basic recommendations, has an estimated cost of USD10,000 to USD17,000. An advanced smart farming app with AI and automation, featuring AI-powered decision-making, automated irrigation, and advanced sensor integration, costs between USD20,000 and USD28,000. Maintenance and updates, which are essential for functionality, security, and user satisfaction, range from USD500 to USD2,000 per month or USD50 to USD100 per hour for developer support. Marketing and promotion, which are crucial for reaching the target audience and maximizing app visibility, require a budget for app store optimization, social media marketing, and targeted advertising. The high cost of implementing analytics in agriculture sectors will likely hinder the growth of the global agriculture analytics market during the forecast period.Agriculture analytics is a growing market that uses data and technology to improve farming efficiency and sustainability. Companies like Farmers Edge provide farmers with real-time insights on crop yield, weather data analytics, and crop growth monitoring. However, challenges exist, such as environmental factors, soil degradation, and climatic conditions. Precision farming techniques, including positioning systems, navigation satellite systems, and drones, help address these challenges. Farm size, infrastructure, and mobility demand also impact the adoption of agriculture analytics. Technologies like artificial intelligence, smart farming, and 5G mobile networks are driving innovation in agriculture analytics. Large and medium-size farms are increasingly adopting these solutions for field planning, irrigation management, and sustainable practices. Livestock farming and vertical farming are also benefiting from these advancements. Cloud computing, internet of things, and data security are essential considerations for agriculture analytics. Strategic activities like crop management, food demand, and infrastructure development are key drivers of growth in this market. Overall, agriculture analytics is transforming farming operations to increase farm output and ensure food security.

Discover how AI is revolutionizing market trends- Get your access now!

Segment Overview 

This agriculture analytics market report extensively covers market segmentation by  

Type 1.1 Solutions1.2 ServicesApplication 2.1 Precision farming2.2 Livestock monitoring2.3 Aquaculture farming2.4 Vertical farming2.5 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Solutions-  The Agriculture Analytics Market is a significant sector that utilizes data and technology to enhance farming practices. It provides farmers with valuable insights into crop yields, weather patterns, soil health, and market trends. By implementing these analytics, farmers can make informed decisions, increase productivity, and reduce costs. The market is expected to grow due to the increasing adoption of precision farming techniques and the availability of affordable data analysis tools.

Download a Sample of our comprehensive report today to discover how AI-driven innovations are reshaping competitive dynamics

Research Analysis

The Agriculture Analytics Market is experiencing significant growth due to the integration of advanced technologies such as 5G mobile networks, satellite capabilities, and the Internet of Things (IoT). These technologies enable real-time data collection and analysis for various agricultural applications, including crop management, livestock farming, and aquaculture. The demand for mobility and food demand is driving the market, with artificial intelligence (AI) and cloud computing playing crucial roles in processing and analyzing large data sets. Vertical farming, precision farming, and land preparation are key areas of focus, with predictive models and positioning systems used to optimize farm operations and improve farm output. Weather data analytics and climatic conditions monitoring help farmers make informed decisions regarding crop growth and land preparation. Satellite capabilities and drones enable real-time monitoring of farm size and soil degradation, while cloud deployment and on-premises deployment offer flexibility in data storage and access. Data security is a critical concern, with digital agriculture solutions implementing advanced security measures to protect sensitive agricultural data. Navigation satellite systems and AI are used in livestock farming to optimize feeding, health monitoring, and breeding, while predictive models help farmers anticipate market trends and adjust production accordingly. Overall, the Agriculture Analytics Market is transforming the agricultural industry by providing farmers with valuable insights to increase efficiency, productivity, and profitability.

Market Research Overview

The Agriculture Analytics Market is experiencing significant growth due to various factors. The adoption of 5G mobile networks and satellite capabilities is enabling real-time data collection and analysis, meeting the mobility demands of farmers. Artificial Intelligence (AI), Cloud Computing, and the Internet of Things (IoT) are transforming agriculture by providing insights for crop management, farm size optimization, and farm output enhancement. Food demand continues to increase, driving the need for digital agriculture and sustainable practices. Vertical farming, precision farming, and livestock farming are gaining popularity, requiring advanced analytics for crop management, land preparation, and farm operations. Farmers Edge, focusing on digital agriculture, is a strategic activity to improve crop yield and efficiency. Sustainability and food security are essential factors, with AI-driven weather data analytics and crop growth monitoring essential for climate-smart farming. Cloud Deployment and On-Premises Deployment are options for data management, with data security a critical concern. Infrastructure development, including positioning systems, navigation satellite systems, drones, and infrastructure, is crucial for smart farming. Environmental factors, such as climatic conditions and soil degradation, are monitored for sustainable practices. Overall, the Agriculture Analytics Market is revolutionizing farming through advanced techniques and technologies.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

TypeSolutionsServicesApplicationPrecision FarmingLivestock MonitoringAquaculture FarmingVertical FarmingOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

View original content to download multimedia:https://www.prnewswire.com/news-releases/agriculture-analytics-market-is-projected-to-grow-by-usd-1-23-billion-from-2024-2028–driven-by-ai-and-the-rising-global-populations-food-demand-redefining-the-market-landscape–technavio-302284204.html

SOURCE Technavio

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

Published

on

By

A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

on

By

BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

Continue Reading

Technology

Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

Published

on

By

Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

Continue Reading

Trending