Artificial Intelligence (AI) in Agriculture
Artificial intelligence technology brings the concept of cognitive computing to agriculture, where the farm equipment intelligence is modeled on human intelligence. Artificial intelligence technologies help farmers in optimizing their planning to generate profitable crop yields using predictable analytics for agricultural input choices and farm process planning.

The capabilities enabled by this technology allow the farm equipment and solutions to interpret, acquire, and react to unpredictable farm situations with enhanced efficiency.

Since 2010, the adoption of artificial intelligence in agriculture solutions has increased, especially by medium and large-scale farmers. Increased awareness regarding the benefits of these solutions has increased the adoption rate of these solutions. High technological advancement in some regions of the world is another driver toward the adoption of artificial intelligence in agriculture solutions by farmers.

Global Artificial Intelligence (AI) in Agriculture Market Overview

The global artificial intelligence in agriculture market is expected to reach $6,655.1 million by 2026, with a CAGR of 30.56% during the forecast period 2021-2026. The growth rate in the market is because of the increased awareness of artificial intelligence-based solutions in some regions of the world.

Impact of COVID-19
The supply chain for the majority of the industries across the globe got impacted due to the COVID-19 pandemic, including the artificial intelligence in agriculture industry. During the COVID-19 outbreak, the supply chain of the agriculture industry was disrupted. During the COVID-19 pandemic, agricultural production was hindered for farmers, which led to a decrease in their revenue generation. This has left the farmers in no position to invest in modern agricultural equipment.

Market Segmentation

AI in Agriculture Market by Farming Type

The farming type segment in the application for artificial intelligence in agriculture market is expected to be dominated by field farming. The majority of the farmers around the world still engage in traditional farming, which is expected to drive artificial intelligence in agriculture market in the forecast period.

AI in Agriculture Market by End Use
The end use segment in the application of artificial intelligence in agriculture market is expected to be dominated by crops, fruits, vegetables, and other plants. The primary focus of all farmers around the world is to increase agricultural production, which is expected to increase the adoption of artificial intelligence products in the agricultural industry.

AI in Agriculture Market by Product
The global artificial intelligence in agriculture market in the product segment is expected to be dominated by software products. The high market share and growth potential associated with software products in the agriculture industry is expected to drive the global artificial intelligence in agriculture market.

AI in Agriculture Market by Region
North America generated the highest revenue of $598.7 million in 2020, which is attributed to the technological advancements in the North America region. In the region, government support along with technological advancement has helped in the growth of the market. The region is expected to witness high growth of CAGR 29.88% during the forecast period 2021-2026.

Key Market Players and Competition Synopsis
Some of the key players operating in the market include Agrivi, Alibaba Group Holding Limited, Ceres Imaging, CNH Industrial N.V., Granular Inc., Harvest Crop Robotics, LLC, IBM Corporation, Microsoft Corporation, Prospera Technologies, Robert Bosch GmbH, The Climate Corporation., among others.

The companies that are profiled in the report have been selected based on the selective pool of players, primarily Tier-1 (holding 50-60% of the market), mid-segment players (comprising 30-40% share), and small and emerging companies (holding the balance 10-20% share), based on various factors such as product portfolio, annual revenues, market penetration, research, and development initiatives, along with a domestic and international presence in the artificial intelligence in agriculture industry.


Market Report Coverage - Artificial Intelligence (AI) in Agriculture

Market Segmentation

  • Farming Type: Field Farming, Indoor Farming, Livestock Farming, Others
  • End Use: Crops, Fruits, Vegetables, and Other Plants; Livestock and Aquaculture
  • Product: Software, Hardware, Artificial Intelligence-as-a-Service (AIaaS), Support Services



Regional Segmentation

  • North America: U.S., Canada, and Mexico
  • Europe: Germany, France, Netherlands, Italy, Spain, and Rest-of-Europe
  • U.K.
  • China
  • Asia-Pacific: India, Japan, Australia, and Rest-of-Asia-Pacific
  • Rest-of-the-World: Brazil, Argentina, South Africa, Israel



Market Growth Drivers

  • Need for Increased Agricultural Production
  • Complexities in Data-Driven Farming
  • Increased Demand for Automation in Agriculture



Market Challenges

  • Data Privacy Concerns Among Farmers
  • Lack of Required Infrastructure in Developing Countries



Market Opportunities

  • Increased Government Initiatives Supporting AI in Agriculture
  • Increased Implementation of Robots and Drones in Agriculture
  • Rise in Adoption of SaaS Business Model in Agriculture



Key Companies Profiled
Deere & Company, Microsoft Corporation, CNH Industrial N.V., Robert Bosch GmbH, Granular Inc., Harvest Crop Robotics, LLC, Agrivi, CropIn Technology Solutions Pvt Ltd., Alibaba Group Holding Limited, The Climate Corporation, Descartes Labs, Inc., PrecisionHawk, Inc., Ceres Imaging, IBM Corporation, Prospera Technologies

How This Report Can Add Value
This extensive report on global artificial intelligence in agriculture market will help you with:

  • The report covers product, application, and regional market estimations for the artificial intelligence in agriculture market.
  • Extensive competitive benchmarking of the top 15 players (including OEMs and equipment providers) has been done to offer a holistic view of the global artificial intelligence in agriculture market landscape.



Product/Innovation Strategy: The product segment helps the reader in understanding the different types of artificial intelligence in agriculture solutions for the agriculture industry and their potential globally. Moreover, the study provides the reader a detailed understanding of the operation of different artificial intelligence in agriculture products (i.e., software, hardware, artificial intelligence-as-a-service, and support services).

Recent Developments in Artificial Intelligence in Agriculture Market

  • In May 2021, Robert Bosch unveiled its new artificial intelligence based IoT platform to keep real time track of energy consumption, electrical parameters in healthcare, agriculture, and other sectors.
  • In November 2020, Deere & Company introduced AutoPath for more accurate row guidance throughout the season.
  • In November 202, CLAAS KGaA mbH launched the cloud-based DataConnect system that enables the exchange of machinery data between CLAAS, 365FarmNet, and Deere & Company.
  • In September 2020, Agrivi launched Agrivi Farm Fleet that enables farmers to have real-time access to their fuel usage and machinery.



Key Questions Answered in the Report

  • What is the estimated global artificial intelligence in agriculture market size in terms of revenue for the forecast period 2021-2026, and what is the expected compound annual growth rate (CAGR) during the forecast period 2021-2026?
  • What are the key trends, market drivers, and opportunities in the market pertaining to artificial intelligence in agriculture?
  • What are the major restraints inhibiting the growth of global artificial intelligence in agriculture market?
  • What kinds of new strategies are being adopted by the existing market players to strengthen their market position in the industry?
  • What is the competitive strength of the key players in the artificial intelligence in agriculture market based on an analysis of their recent developments, product offerings, and regional presence?
  • How is the competitive benchmarking of the key artificial intelligence in agriculture companies in the agriculture market based on the analysis of their market coverage and market potential?
  • How much revenue is each segment expected to record during the forecast period, along with the growth percentage?
  • What is the type of players and stakeholders operating in the market ecosystem of artificial intelligence in agriculture, and what is their significance in the global market?