Table of Content

1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study


2 RESEARCH METHODOLOGY


3 EXECUTIVE SUMMARY


4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Maximize Crop?Yield Using Machine Learning technique
4.3.2 Increase in the Adoption of Cattle Face Recognition Technology
4.3.3 Increase Use of?Unmanned Aerial Vehicles (UAVs) Across Agricultural Farms
4.4 Market Restraints
4.4.1 Lack of Standardization in Data Collection
4.5 Value Chain Analysis
4.6 Industry Attractiveness - Porter’s Five Force Analysis
4.6.1 Threat of New Entrants
4.6.2 Bargaining Power of Buyers/Consumers
4.6.3 Bargaining Power of Suppliers
4.6.4 Threat of Substitute Products
4.6.5 Intensity of Competitive Rivalry


5 TECHNOLOGY SNAPSHOTS


6 MARKET SEGMENTATION
6.1 By Application
6.1.1 Weather Tracking
6.1.2 Precision Farming
6.1.3 Drone Analytics
6.2 By Deployment
6.2.1 Cloud
6.2.2 On-premise
6.2.3 Hybrid
6.3 Geography
6.3.1 North America
6.3.2 Europe
6.3.3 Asia-Pacific
6.3.4 Rest of the World


7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Microsoft Corporation
7.1.2 IBM Corporation
7.1.3 Granular Inc.
7.1.4 aWhere Inc.
7.1.5 Prospera Technologies Ltd.
7.1.6 Gamaya SA
7.1.7 ec2ce
7.1.8 PrecisionHawk Inc.
7.1.9 Cainthus Corp.
7.1.10 Tule Technologies Inc.


8 INVESTMENT ANALYSIS


9 MARKET OPPORTUNITIES AND FUTURE TRENDS