Global AI in Agriculture Market Outlook 2030: Industry Insights & Opportunity Evaluation, 2019-2030

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Global AI in Agriculture Market by Offerings (Hardware, Software and Services); By Technology (Machine Learning, Predictive Analytics and Computer Vision); By Application (Livestock Monitoring Application, Precision Farming Application, Agriculture Robots Application, Drone Analytics Application and Others); By Region (North America, Latin America, Europe, Asia-Pacific and Middle-East & Africa) – Analysis of market share, size & trends for 2016-19 and forecasts to 2030.
Product Overview
Artificial Intelligence in Agriculture uses modern and innovative agricultural technologies to improve the productivity and yield in order to deliver better and more efficient farming services. Using specific equipment such as Internet of Thing models, sensors and actuators, geo-positioning systems, Unmanned Aerial Vehicles (UAVs or drones), robotics & fertilizers, irrigation management, and so 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 to boost crop growth and production.
Market Highlights
Global Artificial Intelligence in Agriculture Market is estimated to grow from USD 820.3 million in 2019 to USD 6,189.75 million in 2030 with a CAGR of 24.31%. Factors such as growing stress on the food supply chain due to exponentially increasing population, rising implementation of Internet of Things in the agricultural sector, improving 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 to encourage the use of AI technologies is anticipated to fuel the market growth.
Global Artificial Intelligence in Agriculture Market: Segments
Software offerings are anticipated to be the fastest growing over 2020-2030
On the basis of offerings, the global AI in Agriculture Market is segmented into hardware, software and services. The software segment captured a significant share in 2019 and is projected to 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 to farming practices that stimulates market growth.
Global Artificial Intelligence in Agriculture Market: Market Dynamics
Drivers
Rising demand for Agricultural Produce
Growing global demand for food, farmers need to increase crop production either by increasing the amount of agricultural land or by adopting advanced agricultural methods such as precision farming. Another major factor which has prompted farmers to implement digital farming solutions in their farms so as to boost the productivity of agricultural land is 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 the Artificial Intelligence in 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 to restrict the growth of the market over the forecast period.
Global Artificial Intelligence in 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
Key Players
• Microsoft Corporation
o Company overview
o Business Strategy
o Key Product Offerings
o Financial Performance
o Key Performance Indicators
o Risk Analysis
o Recent Development
o Regional Presence
o SWOT Analysis
• Precision Hawk
• Deere & Company
• The Climate Corporation
• International Business Machines Corp.
• Farmers Edge Inc.
• AgEagle Aerial Systems
• Gamaya Inc
• Descartes Lab Inc.
• Prospera Technologies

Global Artificial Intelligence in Agriculture Market Report also contains an analysis on:

• Artificial Intelligence in Agriculture Market by segment:

• By Offering
o Hardware
o Software
o Services

• By application/ end-use industry
o Livestock Monitoring Application
o Precision Farming Application
o Agriculture Robots Application
o Drone Analytics Application
o Others

• By Region
o North America
o Latin America
o Europe
o Asia-Pacific
o 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

Additional information

Publisher

Geography Covered

Date Published

,

Pages

Format

Table of Contents

Contents
1. Executive Summary
2. AI in Agriculture
2.1. Product Overview
2.2. Market Definition
2.3. Segmentation
2.4. Assumptions and Acronyms
3. Research Methodology
3.1. Research Objectives
3.2. Primary Research
3.3. Secondary Research
3.4. Forecast Model
3.5. Market Size Estimation
4. Average Pricing Analysis
5. Market Dynamics
5.1. Growth Drivers
5.2. Restraints
5.3. Opportunity
5.4. Trends
6. Recent Development, Policies & Regulatory Landscape
7. Risk Analysis
7.1. Demand Risk Analysis
7.2. Supply Risk Analysis
8. AI in Agriculture Industry Analysis
8.1. Porters Five Forces
8.1.1. Threat of New Entrants
8.1.2. Bargaining Power of Suppliers
8.1.3. Threat of Substitutes
8.1.4. Rivalry
8.2. PEST Analysis
8.2.1. Political
8.2.2. Economic
8.2.3. Social
8.2.4. Technological
9. Global AI in Agriculture Market
9.1. Market Size & forecast, 2019A-2030F
9.1.1. By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10. Global AI in Agriculture: Market Segmentation
10.1. By Regions
10.1.1. North America: (U.S. and Canada)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.2. Latin America: (Brazil, Mexico, Argentina, Rest of Latin America)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.3. Europe: (Germany, UK, France, Italy, Spain, BENELUX, NORDIC, Hungary, Poland, Turkey, Russia, Rest of Europe)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.4. Asia-Pacific: (China, India, Japan, South Korea, Indonesia, Malaysia, Australia, New Zealand, Rest of Asia Pacific)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.1.5. Middle East and Africa: (Israel, GCC, North Africa, South Africa, Rest of Middle East and Africa)
• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.2. By Offering: Market Share (2020-2030F)
10.2.1. Hardware, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.2.2. Software, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.2.3. Services, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3. By Application/End-use Industries: Market Share (2020-2030F)
10.3.1. Livestock Monitoring Application, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.2. Precision Farming Application, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.3. Agriculture Robots Application, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.4. Drone Analytics Application, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
10.3.5. Others, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F
11. Company Profile
11.1. Microsoft Corporation
11.1.1. Company Overview
11.1.2. Company Total Revenue (Financials)
11.1.3. Market Potential
11.1.4. Global Presence
11.1.5. Key Performance Indicators
11.1.6. SWOT Analysis
11.1.7. Product Launch
11.2. Precision Hawk
11.3. Deere & Company
11.4. The Climate Corporation
11.5. International Business Machines Corp.
11.6. Farmers Edge Inc.
11.7. AgEagle Aerial Systems
11.8. Gamaya Inc
11.9. Descartes Lab Inc.
11.10. Prospera Technologies
12. Consultant Recommendation
**The above given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.

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