Artificial Intelligence In Agriculture Market

Artificial Intelligence in Agriculture - Global Market Outlook (2018-2027)

4.9 (23 reviews)
Published: May 2020 ID: SMRC19114
4.9 (23 reviews)
Published: May 2020 ID: SMRC19114

This report covers the impact of COVID-19 on this global market

According to Stratistics MRC, the Global Artificial Intelligence in Agriculture Market is accounted for $0.89 billion in 2018 and is expected to reach $1.50 billion by 2027 growing at a CAGR of 6.0% during the forecast period. Increasing crop productivity through deep learning technology, and government support to adopt modern agricultural techniques are the major factors propelling the market growth. However, factors such as high cost of gathering precise field data, and limited availability of historic data are hampering the market growth.

Artificial Intelligence in agriculture has various applications ranging from rural automatons, computerized water system frameworks, facial acknowledgment, and driver less tractors. This application is done in a relationship with an alternate sort of sensors, radars, GPS frameworks, other cutting-edge contraptions dependent on AI. Seeing these broad applications, artificial intelligence in agriculture is getting a colossal reaction from investors all around. The increasing utilization and rising necessity of better yield of products are evaluated to be one of the essential points that are fuelling the demand for artificial intelligence in agriculture.

Based on the technology, the computer vision segment is going to have a lucrative growth during the forecast period owing to the increased use for agricultural applications such as plant image recognition and continuous plant health monitoring and analysis. The other factors include higher adoption of robots and drones in agriculture farms and increasing demand for improved crop yield due to the rising population. The computer vision allows farmers and agribusinesses alike to make better decisions in real-time.

By geography, Asia Pacific is going to have a lucrative growth during the forecast period due to the wide-scale adoption of AI technologies in agriculture farms in this region. AI is increasingly applied in the agriculture sector in developing countries, such as India and China. The increasing adoption of deep learning and computer vision algorithm for agriculture applications is also expected to fuel the growth of the AI in agriculture market in the Asia Pacific region.

Some of the key players profiled in the Artificial Intelligence in Agriculture Market include IBM, Cainthus Corporation, Connecterra B.V, CropX Inc, Descartes Labs, Inc, Farmers Edge, Granular, Inc, John Deere,Microsoft Corporation, Precision Hawk Inc., The Climate Corporation, Trace Genomics, Inc, and Vision Robotics Corporation.

Technologies Covered:
• Computer Vision
• Machine Learning
• Predictive Analytics

Deployments Covered:
• Cloud
• Hybrid
• On-Premise  

Offerings Covered:
• AI-as-a-Service
• Hardware
• Services
• Software

Applications Covered:
• Agriculture Robots
• Drone Analytics
• Fish Farming Mangement
• Labor Management
• Livestock Monitoring
• Precision Farming
• Smart Green House Management
• Soil Management
• Supply Chain Efficiency

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2017, 2018, 2019, 2023 and 2027
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

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• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
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o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

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