AI in Agriculture Market Forecasted to Reach USD 8.97 Billion by 2031 | Microsoft, IBM, Granular Inc., AgEagle Aerial Systems Inc

AI in Agriculture Market analysis, according to DataM Intelligence, offers more than just an overview; it investigates the underlying aspects of the sector. The study provides an overview, the research explores the hidden aspects of the sector, breaking down its intricate dynamics, charting regional dominance, spotting demand patterns, and spotting prospective breakthroughs that could influence how businesses operate in the future.

Will the AI in Agriculture market emerge as the sector's next great thing? To discover the answer, look at the AI in Agriculture market analysis and projections. In-depth insight of the opportunities, difficulties, and trends now impacting the Machinery landscape is provided by this market research study, empowering industry participants to make informed decisions in a changing environment. Take advantage of the opportunity in the AI in Agriculture market! (2031)

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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.

AI in Agriculture refers to the use of artificial intelligence technologies to enhance farming practices, increase productivity, and promote sustainable agriculture. This includes applications such as crop monitoring, predictive analytics, automated machinery, precision farming, and real-time decision-making for optimizing resource utilization and reducing environmental impact.

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

Points Covered:

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Agriculture market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global AI in Agriculture Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The global AI in Agriculture market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Agriculture Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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FAQ's

Q.1. What are the primary drivers of the AI in Agriculture Industry?

Q.2. What are the main factors propelling and impeding the growth of the AI in Agriculture market?

Q.3. What are the general structure, risks, and opportunities of the market?

Q.4. How do the prices, revenue, and sales of the leading AI in Agriculture market firms compare?

Q.5. What are the main segments of the market and how is it divided up?

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