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Dublin, May 06, 2020 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Agriculture Market by Technology (Machine Learning, Computer Vision, and Predictive Analytics), Offering (Software, Hardware, AI-as-a-Service, and Services), Application, and Geography - Global Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

The AI in the agriculture market is projected to grow at a CAGR of 25.5% from 2020 to 2026.

The AI in agriculture market growth is propelled by the increasing implementation of data generation through sensors and aerial images for crops, increasing crop productivity through deep-learning technology, and government support for the adoption of modern agricultural techniques. However, the high cost of gathering precise field data restrains the market growth. Developing countries, such as China, Brazil, and India, are likely to provide an opportunity for the players in the AI in agriculture market due to the increasing use of unmanned aerial vehicles/drones by these countries in their agricultural farms.

By technology, the machine learning segment is estimated to account for the largest share of the AI in the agriculture market during the forecast period.

Machine learning-enabled solutions are being significantly adopted by agricultural organizations and farmers worldwide to enhance farm productivity and to gain a competitive edge in business operations. In the coming years, the application of machine learning in various agricultural practices is expected to rise exponentially.

By offering, the AI-as-a-Service segment is projected to register the highest CAGR from 2020 to 2026.

Increasing demand for machine learning tool kits and applications that are available in AI-based services, along with benefits, such as advanced infrastructure at minimal cost, transparency in business operations, and better scalability, is leading to the growth of the AI-as-a-Service segment.

By application, the precision farming segment held the largest market size in 2019.

Precision farming involves the usage of innovative artificial intelligence (AI) technologies, such as machine learning, computer vision, and predictive analytics tools, for increasing agriculture productivity. It comprises a technology-driven analysis of data acquired from the fields for increasing crop productivity. Precision farming helps in managing variations in the field accurately, thus enabling the growth of more crops using fewer resources and at reduced production costs. Precision devices integrated with AI technologies help in collecting farm-related data, thereby helping the farmers make better decisions and increase the productivity of their lands

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights 4.1 Attractive Opportunities for the AI in the Agriculture Market4.2 AI in Agriculture Market, by Offering4.3 AI in Agriculture Market, by Technology4.4 AI in Agriculture Market for Apac, by Application & Country4.5 AI in Agriculture Market, by Geography

5 Market Overview 5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Increasing Strain on Global Food Supply Owing to Rising Population5.2.1.2 Increasing Implementation of Data Generation Through Sensors and Aerial Images for Crops5.2.1.3 Increasing Crop Productivity Through Deep Learning Technology5.2.1.4 Government Support to Adopt Modern Agricultural Techniques5.2.2 Restraints5.2.2.1 High Cost of Gathering Precise Field Data5.2.3 Opportunities5.2.3.1 Developing Countries to Offer Significant Growth Opportunities5.2.3.2 Use of AI Solutions to Manage Small Farms (Less than 5 Hectares)5.2.4 Challenges5.2.4.1 Lack of Standardization5.2.4.2 Lack of Awareness About AI Among Farmers5.2.4.3 Limited Availability of Historical Data5.3 Value Chain Analysis5.4 Impact of Covid-19 on AI in Agriculture Market

6 Artificial Intelligence in Agriculture Market, by Technology 6.1 Introduction6.2 Machine Learning6.2.1 Machine Learning Technology to Hold the Largest Share of AI in Agriculture Market6.3 Computer Vision6.3.1 Computer Vision Technology is Expected to Grow at the Highest CAGR during the Forecast Period6.4 Predictive Analytics6.4.1 Increasing Predictive Analytics Applications is Expected to Drive the Growth of AI in Agriculture Market

7 Artificial Intelligence in Agriculture Market, by Offering 7.1 Introduction7.2 Hardware7.2.1 Technological Advancements in the Hardware Segment is Leading to the Widespread Adoption of AI in Agriculture7.2.2 Processor7.2.3 Storage Device7.2.4 Network7.3 Software7.3.1 AI in Agriculture Market for Software Segment is Projected to Hold the Largest Market Share during the Forecast Period7.3.2 AI Platform7.3.3 AI Solution7.4 Ai-As-A-Service7.4.1 Ai-As-A-Service Segment is Expected to Grow at the Highest CAGR during the Forecast Period7.5 Services7.5.1 Increasing Requirement of Online and Offline Support Services is Leading to the Growth of This Segment7.5.2 Deployment & Integration7.5.3 Support & Maintenance

8 Artificial Intelligence in Agriculture Market, by Application 8.1 Introduction8.2 Precision Farming8.2.1 Precision Farming is Expected to Hold the Largest Market Share during the Forecast Period8.2.2 Yield Monitoring8.2.3 Field Mapping8.2.4 Crop Scouting8.2.5 Weather Tracking & Forecasting8.2.6 Irrigation Management8.3 Livestock Monitoring8.3.1 Increasing Livestock Monitoring Applications is Driving the Growth of This Segment8.4 Drone Analytics8.4.1 Drone Analytics Application Expected to Grow at the Highest CAGR during the Forecast Period8.5 Agriculture Robots8.5.1 Increased Deep Learning Capabilities of Agriculture Robots is Driving the Growth of This Segment8.6 Labor Management8.6.1 Major Benefits Such As Reduced Production Costs Due to Labor Management Application is Leading to the Growth of This Segment8.7 Others8.7.1 Smart Greenhouse Management8.7.2 Soil Management8.7.2.1 Moisture Monitoring8.7.2.2 Nutrient Monitoring8.7.3 Fish Farming Management

9 Geographic Analysis 9.1 Introduction9.2 Americas9.2.1 North America9.2.1.1 Us9.2.1.1.1 Us Projected to Account for the Largest Size of the AI in Agriculture Market in North America9.2.1.2 Canada9.2.1.2.1 Increasing AI Technology Adoption is Leading to the Growth of Canadian AI in Agriculture Market9.2.1.3 Mexico9.2.1.3.1 AI in Agriculture Market in Mexico is Projected to Grow at the Highest CAGR during the Forecast Period9.2.2 South America9.2.2.1 Brazil9.2.2.1.1 Brazil Expected to Hold the Largest Share in the South American AI in Agriculture Market9.2.2.2 Argentina9.2.2.2.1 Expanding Industrial Production in Argentina is Driving the Market9.2.2.3 Rest of South America9.3 Europe9.3.1 Uk9.3.1.1 Increasing Adoption of Ai-Based Solutions for Agriculture is Driving the Uk Market9.3.2 Germany9.3.2.1 Germany Held the Largest Share of European AI in Agriculture Market in 20199.3.3 France9.3.3.1 Increasing Number of Start-Ups Developing AI Solutions for Agriculture is Driving the Market in Europe9.3.4 Italy9.3.4.1 AI in Agriculture Market in Italy is Growing Steadily to Overcome Drastic Climate Conditions9.3.5 Spain9.3.5.1 Favorable Government Policies are Driving the AI in Agriculture Market in Spain9.3.6 Rest of Europe9.4 Asia Pacific9.4.1 Australia9.4.1.1 Australia Expected to Hold the Largest Share of the AI in Agriculture Market in Apac9.4.2 China9.4.2.1 Increasing Precision Farming Applications in China is Expected to Drive the AI in Agriculture Market for Apac9.4.3 Japan9.4.3.1 in 2019, Japan Held the Second-Largest Share of AI in Agriculture Market in Apac9.4.4 South Korea9.4.4.1 Government Funding and Initiatives are Driving the Growth of AI in Agriculture Market in South Korea9.4.5 India9.4.5.1 India is Expected to be the Fastest-Growing AI in Agriculture Market in Apac9.4.6 Rest of Apac9.5 Rest of the World9.5.1 Increasing Awareness Among Farmers Regarding the Benefits of AI-Assisted Agricultural Operations is Driving the Market in Row

10 Competitive Landscape 10.1 Overview10.2 Ranking Analysis10.3 Competitive Scenario10.3.1 Product Launches and Developments10.3.2 Partnerships, Agreements, and Collaborations10.3.3 Mergers and Acquisitions10.4 Competitive Leadership Mapping10.4.1 Visionary Leaders10.4.2 Dynamic Differentiators10.4.3 Innovators10.4.4 Emerging Companies

11 Company Profiles 11.1 Key Players11.1.1 IBM11.1.2 Deere & Company11.1.3 Microsoft11.1.4 the Climate Corporation11.1.5 Farmers Edge11.1.6 Granular11.1.7 Ageagle11.1.8 Descartes Labs11.1.9 Prospera11.1.10 Taranis11.1.11 Awhere11.2 Right-To-Win11.3 Other Key Companies11.3.1 Gamaya11.3.2 Ec2Ce11.3.3 Precision Hawk11.3.4 Vineview11.3.5 Cainthus11.3.6 Tule Technologies11.3.7 Resson11.3.8 Connecterra11.3.9 Vision Robotics11.3.10 Farmbot11.3.11 Harvest Croo11.3.12 Peat11.3.13 Autonomous Tractor Corporation11.3.14 Trace Genomics11.3.15 Cropx Technologies

For more information about this report visit https://www.researchandmarkets.com/r/sqhb4s

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Global Artificial Intelligence in Agriculture Industry (2020 to 2026) - Developing Countries to Offer Significant Growth Opportunities - GlobeNewswire