AI in Agriculture Market to Witness Huge Growth by 2030 | Microsoft Corporation, Precision Hawk, Deere & Company, The Climate Corporation, International Business Machines Corp., Gamaya Inc

AI in Agriculture Market research report highlights global, and regional. Country-level market size, development, and forecast period include market share by region, leading players with company profile, product introduction, market position including their market status, development trend by types and application that will provide its price and profit status, and marketing status and market growth drivers. Furthermore, the report covers the top 10 regions and top 50 countries across the globe to give a precise picture of the market that enables you to understand market performance.

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Global Artificial Intelligence in Agriculture Market: Key Players

Microsoft Corporation
Precision Hawk
Deere & Company
The Climate Corporation
International Business Machines Corp.
Farmers Edge Inc.
AgEagle Aerial Systems
Gamaya Inc
Descartes Lab Inc.
Prospera Technologies

Product Overview
Artificial Intelligence in Agriculture uses modern and innovative agricultural technologies t-improve productivity and yield t-deliver better and more efficient farming services. Using specific equipment such as the Internet of Thing models, sensors and actuators, geo-positioning systems, Unmanned Aerial Vehicles (UAVs or drones), robotics & fertilizers, irrigation management, and s-on, farmers can advance their production and harvest by controlling pests, increasing productivity, monitoring the soil quality while reducing the time, energy and work needed for these tasks. Artificial Intelligence in agriculture helps and assists in evaluating and taking decisions t-boost crop growth and production. In agriculture, artificial intelligence has a variety of uses, including agricultural automation, digital water network systems, face recognition, and tractors without a driver. One of the important factors that boost the market for artificial intelligence in agriculture is the increase in usage of AI and the need for better yields of goods.

Market Highlights
Factors such as growing stress on the food supply chain due t-exponentially increasing population, rising implementation of the Internet of Things in the agricultural sector, improving the standard of living, growing focus on enhanced crop monitoring, and increased demand for higher agricultural yield, are driving growth in the artificial intelligence market. Moreover, limited land for agriculture coupled with supportive government policies t-encourage the use of AI technologies is anticipated t-fuel the market growth. Nonetheless, insufficient knowledge of high technology machine learning solutions in agriculture can hamper the growth of artificial intelligence in the agriculture market. However, the increased use of drones in farms is expected t-accelerate the deployment of artificial intelligence in the agriculture market.

Global Artificial Intelligence in Agriculture Market Analysis
AI in Agriculture Market
Global Artificial Intelligence in Agriculture Market: Segments
Software offerings are anticipated t-be the fastest-growing over 2020-2030
Based on offerings, the global AI in Agriculture Market is segmented int-hardware, software, and services. The software segment captured a significant share in 2019 and is projected t-have the highest CAGR during the forecast period. The convergence of digital technology with agriculture techniques, increased adoption of automation and control systems, such as GPS / GNSS receivers, irrigation controls, guidance & steering systems, and the demand for database management systems has created a new approach t-farming practices that stimulates market growth.

AI in Agriculture Market

Machine Learning Market t-drive the use of AI in agriculture during the forecast period
Based on technology, AI in the agriculture market is categorized int-machine learning, predictive analytics, and computer vision. The machine learning segment accounted for a major share in 2019 and is expected t-grow at a CAGR of XX% during the forecast period. Machine-learning technologies for increasing yields and gaining a competitive advantage in business activities are embraced by farming organizations and farmers worldwide. Machine learning is anticipated t-expand exponentially different agricultural practices over the forecast timeframe. Furthermore, the application of computer education t-sensor data expands the potential of production enhancement and turns farm management systems int-true artificial intelligence systems. Hence, the machine learning segment is expected t-expand.

AI in Agriculture Market

Precision farming application t-hold significant market share during 2020-2030

Global AI in the agriculture market is segregated by application int-livestock monitoring application, precision farming application, agriculture robot’s application, drone analytics application, and others. The precision farming application accounted for a share of XX% in 2019 and is projected t-hold a significant share in 2020-30 owing t-the growing popularity of the precision farming method amongst farmers as a result of the need t-maximize production with the available scarce resources and t-reduce costs of cultivation. Also, the ability of IoT-based systems in field mapping and management are utilized by agricultural managers and manufacturers, which als-contribute t-rapid market development.

AI in Agriculture Market

Market Dynamics
Drivers
Rising demand for Agricultural Produce

Growing global demand for food, farmers need t-increase crop production either by increasing the amount of agricultural land or by adopting advanced agricultural methods such as precision farming. Another major factor that has prompted farmers t-implement digital farming solutions in their farms t-boost the productivity of agricultural land is the increased demand for quality crops that meet the increasing requirements of grains and plants.

Restraints
High Equipment Cost

Some of the factors limiting the growth of Artificial Intelligence in the agriculture market are the high cost of devices used in Artificial Intelligence in agriculture and the lack of awareness among farmers. High costs incurred in the production of Artificial Intelligence in agricultural equipment, in turn, increase the price of the final product, which is likely t-restrict the growth of the market over the forecast period.

Global Artificial Intelligence in Agriculture Market: Region
Global Artificial Intelligence in Agriculture market is segmented based on regional analysis int-five major regions. These include North America, Latin America, Europe, Asia-Pacific, and the rest of the world is classified as Middle-East and Africa.

North America t-register a remarkable CAGR during the forecast period
Owing t-the concentration of leading industrial automation players and the introduction of artificial intelligence technologies in North America, the share in 2019 accounted for more than other regions. North America is marked by an enhanced standard of living of the people, continuous technological investments, major IoT investments, and growing policy emphasis on the development of in-house AI equipment. These factors are likely t-boost growth shortly.

AI in Agriculture Market

Global Artificial Intelligence in the Agriculture market is further segmented by region into:

North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR- United States and Canada
Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR- Mexico, Argentina, Brazil and Rest of Latin America
Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR- UK, Germany, France, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey and Rest of Europe
Asia-Pacific Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR- India, China, South Korea, Malaysia, Japan, Indonesia, Australia, New Zealand, and Rest of Asia-Pacific
Middle East and Africa Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR- North Africa, Israel, GCC, South Africa and Rest of Middle East and Africa

Global Artificial Intelligence in Agriculture Market Report als-contains an analysis of:
Artificial Intelligence in Agriculture Market by segment

By Offering

Hardware
Software
Services

By Application

Livestock Monitoring Application
Precision Farming Application
Agriculture Robots Application
Drone Analytics Application
Others

By Region

North America
Latin America
Europe
Asia-Pacific
Middle East and Africa

Artificial Intelligence in Agriculture Market Size
Artificial Intelligence in Agriculture Market Dynamics
Supply and Demand
Current Issues/trends/challenges
Competition and Companies Involved in the Market
Value Chain of the Market
Market Drivers and Restraints

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