AI in Agriculture Market: Trends, Growth, and Innovations 2024
Explore the growing role of AI in agriculture with insights on market trends, innovations, and key developments driving the industry. Learn how AI is shaping the future of farming and crop management
Anildarnasi
Global AI in Agriculture Market reached US$ 1.7 billion in 2023 and is expected to reach US$ 8.97 billion by 2031, growing with a CAGR of 23.1% during the forecast period 2024-2031.
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Key Players:
Profiles of some of the major players in the global AI in Agriculture market, which include:
Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc., Google LLC, Deere & Company, Cropin Technology Solutions Private Limited, Bayer AG, KissanAI, and Niqo Robotics
Industry Development:
May 2024: Schneider Electric introduced an AI-powered feature for its Wiser Home app, marking a significant advancement in home energy management. This innovative feature focuses on optimizing energy usage for two of the largest household energy consumers-water heaters and electric vehicle (EV) chargers-helping homeowners reduce energy consumption and enhance efficiency.
June 2024: N-iX launched Chat-iX, an AI-driven conversational assistant designed to streamline business operations and workflows. This secure and intuitive platform enables employees and professionals to interact seamlessly with various AI systems. Adapted for industries such as energy, retail, manufacturing, healthcare, and finance, Chat-iX provides tailored solutions to meet the specific needs of these sectors.
February 2024: GE Vernova released Proficy for Sustainability Insights, an innovative software solution aimed at helping industries align operational activities with sustainability goals. The platform integrates operational processes with sustainability information systems, enabling efficient resource management, waste reduction, and compliance across multiple locations.
The purpose of the report is to offer a comprehensive analysis of the market, along with insightful conclusions, statistical data, historical information, market data that has been confirmed by the industry, and predictions based on a sound methodology. By identifying and examining market segments and forecasting global market size, the study also contributes to understanding the dynamics and structure of the global AI in Agriculture market.
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Market Segments:
The report covers the segmentation of the market into different segments based on various classifications such as applications, end users, product types, and others. The segmentation is divided into two sections, one for development and the other for different roles, needs, and behaviours.
By Deployment: On-Premises, Cloud-Based
By Component: Solutions, Services
By Application: Robotics, Smart Grid Management, Demand Forecasting, Safety Security & Infrastructure, Others, , By End-User, Energy Transmission, Energy Generation, Energy Distribution, Utilities
Regional Break out:
The global AI in Agriculture Market report focuses on six major regions: North America, South America, Europe, Asia Pacific, the Middle East, and Africa.
☞ North America - US, Canada, Mexico
☞ Europe- Germany, Russia, UK, France, Italy, Rest of Europe
☞ Asia Pacific- China, India, Japan, Australia, Rest of Asia Pacific
☞ South America- Brazil, Argentina, Colombia, Rest of South America
☞ Middle East and Africa- Saudi Arabia, UAE, Oman, Bahrain, Qatar, Kuwait, Israel
