Artificial intelligence in agriculture offers the farmers with important data/information associated to climate, water consumption, temperature and soil quality, and also has the ability to detect weeds. Artificial intelligence assists farmers in decision making by providing all type of data about which crop would bear the most productive outcomes in existing soil and weather conditions, or which seed and other inputs would generate high yields. Artificial intelligence incorporation has become of prominent use in the agriculture sector due to the surging demand for food. The escalating demand for agriculture production propelled by the rising population rate, increasing implementation of information management systems and advanced technologies, including machine learning and deep learning techniques, for increasing crop productivity and rising number of government initiatives are the key factors which are accelerating the growth of the global artificial intelligence in the agriculture market. AI-based applications help to control pests, enhance the quality of crops, monitor the soil and improve agriculture-associated tasks in the entire food supply chain. In addition to this, the increased adoption of Internet of Things and AI technologies such as computer vision, predictive analytics, machine learning and deep learning to evaluate soil moisture, weather conditions, temperature, plant health and other functions, are further fueling the growth of artificial intelligence in agriculture market. Furthermore, AI helps in enhancing yield quality and minimizing the labor cost which is also boosting the demand for AI in agriculture. The start-ups in agriculture are broadly adopting AI-based methodology to fuel the efficiency of agricultural production. Applying AI-enabled approaches assists in identifying diseases or climatic changes more rapidly and responds smartly. All these factors are significantly propelling the growth of the market in the coming years. On the other end of the spectrum, the heavy cost associated to the collection of accurate field data is limiting market growth.

The recent developments and up gradations in the AI sector have been disruptive in terms of their utility. With the availability of lesser resources and surged demand for food, the agriculture market is integrating AI technology. These technological advancements assist farmers to keep a track on their produce and improve harvest quality. These hi-tech breakthroughs may generate significant lucrative opportunities in the global artificial intelligence in agriculture market, in the coming years.

The global Artificial Intelligence in Agriculture Market is segregated on the basis of Technology as Machine Learning, Computer Vision and Predictive Analytics. Based on Offering the global Artificial Intelligence in Agriculture Market is segmented in Hardware, Software, AI-as-a-Service and Services. Based on Application the global Artificial Intelligence in Agriculture Market is segmented in Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management and Others.

The global Artificial Intelligence in Agriculture Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Artificial Intelligence in Agriculture Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

IBM Corporation, Deere & Company, Microsoft Corporation, The Climate Corporation, Granular Inc. and others are among the major players in the global Artificial Intelligence in Agriculture Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In March 2020, the Farmers Edge and Nufarm Brasil, a major crop protection company, declared an exclusive, partnership for three years as to digitize at least three million acres of farmland in Brazil by 2023. Intensifying the strengths of both companies, Farmers Edge and Nufarm will offer improved crop protection, and the advanced tools growers require for making better-informed agronomic decisions to increase profitability.
• In January 2020, IBM and Yara International (Norway), a worldwide leader in crop nutrition and digital farming solutions, invited farmer associations, academia, industry players and NGOs from the food and agriculture industry to join a movement to develop an open data exchange which enables collaboration around farm and field data, with the objective to improve the efficiency, transparency and sustainability of global food production.

The global Artificial Intelligence in Agriculture Market has been segmented as below:

Artificial Intelligence in Agriculture Market, By Technology

• Machine Learning
• Computer Vision
• Predictive Analytics

Artificial Intelligence in Agriculture Market, By Offering

• Hardware
• Software
• AI-as-a-Service
• Services

Artificial Intelligence in Agriculture Market, By Application

• Precision Farming
• Agriculture Robots
• Livestock Monitoring
• Drone Analytics
• Labor Management
• Others

Artificial Intelligence in Agriculture Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Artificial Intelligence in Agriculture Market, By Company

• IBM Corporation
• Deere & Company
• Microsoft Corporation
• The Climate Corporation
• Granular Inc.
• Descartes Labs, Inc.
• Prospera Technologies
• AgEagle Aerial Systems Inc.
• Taranis
• aWhere Inc.
• GAMAYA
• Cainthus Corporation
• Precision Hawk Inc.
• Resson Inc.
• Connecterra B.V.

The report covers the below scope:

• Global Artificial Intelligence in Agriculture Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global Artificial Intelligence in Agriculture Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Artificial Intelligence in Agriculture Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Artificial Intelligence in Agriculture Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Artificial Intelligence in Agriculture Market share. Major industry players with significant revenue share include IBM Corporation, Deere & Company, Microsoft Corporation, The Climate Corporation, Granular Inc. and others.

Why to Buy this Report:

• Gain detailed insights on the Artificial Intelligence in Agriculture industry trends
• Find complete analysis on the market status
• Identify the Artificial Intelligence in Agriculture Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

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