Market Share of Artificial Intelligence in Agriculture | Global Industry Outlook and Statistics, Segmentation and Forecast to 2030

Increasing implementation of data generation through sensors is one of the key factors driving the market revenue growth

The Artificial intelligence (AI) in the agriculture market The size reached USD 1.70 billion in 2021 and is expected to register a CAGR of 27.0% during the forecast period according to a latest analysis by Emergen Research. The growing implementation of data generation via sensors is a key driver for the market revenue growth. Precision farming is a type of farm management strategy that can help farmers produce more crops with fewer resources. The next big thing in farming could be AI-powered precision farming. To help farmers maximize yields and reduce costs, precision agriculture combines the best soil management techniques, variable rate technologies and the most efficient data management processes. Farmers can identify fields that require irrigation, fertilizer, or pesticide application using real-time AI insights. Additionally, innovative farming techniques such as vertical farming can help boost food production while using fewer resources. The use of herbicides is reduced, the quality of the crop is improved, incomes are increased and significant savings result.

Download Sample PDF Copy of this Report to Understand the Structure of Full Report (Including Full TOC, Table and Figures) @ https://www.emergenresearch.com/request-sample/1153

Key Players/Manufacturers profiled in the report are:

Microsoft Corporation, Descartes Labs, Inc., Gamaya Inc., Precision Hawk, Connecterra BV, Autonomous Tractor Corporation, Taranis, IBM Corporation, Granular Inc. and VineView.

However, precision farming and smart farming create a number of legal issues that often go unresolved as there are no defined standards and regulations surrounding the use of AI in general, not just in agriculture. Farmers can face serious problems due to privacy and security threats such as cyberattacks and data leaks; these hazards can affect many farms. Agricultural industries in developing countries are distinct from those in Western Europe and American AI in agriculture may be advantageous in some regions, but it may be difficult to commercialize such technology in places where agricultural technology is scarce. . Farmers will probably need help implementing it. Therefore, IT companies may need to adopt a proactive strategy if they want to do business in regions with developing agricultural economies. They will need to provide ongoing training and support to farmers and agribusiness owners who are willing to adopt innovative solutions alongside their products.

Some highlights of the report

The software segment is expected to register significant market revenue growth. AI-based software increases crop productivity and yield using prediction-based analytics and computer vision. The benefits of AI-based software for upcoming agricultural applications such as drone analytics and precision farming are what are really driving the growth of the market.

The predictive analytics segment is expected to grow significantly. Predictive analytics is one of the most intriguing technologies currently in use, greatly modified, and created. Only a handful of the many statistical methods that make up predictive analytics as a whole include modeling, machine learning, and data mining.

The drone analytics segment is expected to record steady growth. The majority of labor-intensive tasks associated with growing can be eliminated by using drones to explore an area and uncover new information. Drone analysis helps identify plant stress, assess plant health and productivity, and there are a variety of tasks that can be accomplished, including detecting resistant weeds or invasive species, modification of nitrogen fertilization for row crops, rapid assessment of storm damage to settle claims, optimal water use by tracking drought stress at different growth stages, population inventory, plant size and health, offering advice on the best time to harvest and accurately estimating yield.

The market in Europe is expected to register considerable growth. Agriculture, which accounts for about half of the European economy, is the main industry there.

On April 26, 2020, with the aim of increasing the efficiency, openness and sustainability of global food production, IBM and Yara International (Norway), a leader in crop nutrition and digital agriculture solutions, have invited farmers’ associations, commercial actors, academic institutions and non-governmental organizations (NGOs) from the food and agriculture sector.

Want to know more about artificial intelligence in the growth of the agricultural market? @ https://www.emergenresearch.com/industry-report/artificial-intelligence-in-agriculture-market

Emergen Research has segmented the Artificial Intelligence in Agriculture market based on component, technology, application, and region:

Components Outlook (Revenue, USD Billion; 2019-2030)

Material

Software

Technology Outlook (Revenue, USD Billion; 2019-2030)

Machine learning and deep learning

computer vision

Predictive analysis

Application Outlook (Revenue, USD Billion; 2019-2030)

Precision farming

Drone analysis

Agricultural robots

Others

Do you have a specific question or requirement? Ask our industry expert @ https://www.emergenresearch.com/select-license/1153

Regional Outlook (Revenue, USD Billion; 2019-2030)

North America

WE

Canada

Mexico

Europe

Germany

France

UK

Italy

Spain

Benelux

The rest of Europe

Asia Pacific

China

India

Japan

South Korea

Rest of APAC

Latin America

Brazil

Rest of LATAM

Middle East and Africa

Saudi Arabia

United Arab Emirates

South Africa

Turkey

Rest of MEA

Request Report Customization @ https://www.emergenresearch.com/request-for-customization/1153

Key Benefits of Buying Global Artificial Intelligence in Agriculture Report:

Complete analysis of the changing competitive landscape

Assistance with business decision-making processes as well as detailed strategic planning methodologies

The report offers an 8-year forecast and assessment of the global Artificial Intelligence in Agriculture market

Helps in understanding the key product segments and their estimated growth rate

In-depth analysis of market drivers, restraints, trends and opportunities

Comprehensive Regional Analysis of the Global Artificial Intelligence in Agriculture Market

In-depth profiling of key business stakeholders

Detailed analysis of factors influencing the growth of the global Artificial Intelligence in Agriculture market

Thank you for reading our report. Please contact us to learn more about the report or to request customization of the report. Our team will ensure that the report is best suited to your needs.

About Emergen Research

At Emergen Research, we believe in advancing with technology. We are a growing market strategy consulting and research firm with an extensive knowledge base on cutting-edge and potentially market-disrupting technologies that are expected to become more prevalent over the next decade.

Media Contact
Company Name: Emerging research
Contact person: Eric Lee
E-mail: Send an email
Call: +1 (604) 757-9756
Address:14671 110 Avenue Surrey, British Columbia, V3R2A9
Town: Surrey
State: British Columbia
Country: Canada
Website: https://www.emergenresearch.com/industry-report/artificial-intelligence-in-agriculture-market