Press release
AI in Agriculture Market is Booming Worldwide | IBM, Microsoft, Agribotix
AI in Agriculture Market
Industries and key technological segments are evolving; navigate these changes with latest insights released on Global AI in Agriculture Market Study
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Major Highlights of Global AI in Agriculture Market Report
1) Why this market research study would be beneficial?
- The study guides AI in Agriculture companies with strategic planning to ensure they realize and drive business value from their plans for growth strategy.
2) How scope of study is defined?
- The AI in Agriculture market is composed of different product/ service offering type, each with its own business models and technology. They include:
Type: , Machine Learning, Computer Vision & Predictive Analytics;
Application: Precision Farming, Drone Analytics, Agriculture Robots & Livestock Monitoring;
**Further breakdown / Market segmentation can be provided; subject to availability and feasibility of data.
3) Why Global AI in Agriculture Market would define new growth cycle ?
- Analysis says that AI in Agriculture Companies that have continues to invest in new products and services including via acquisitions have seen sustainable growth, whereas one with slower R&D investment growth have become stagnant. Technology companies with annual R&D growth over 20% have outperformed their peer group in revenue growth.
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Research shows that Global AI in Agriculture companies have increased R&D spend and accelerated merger & acquisitions. The industry has one of the fastest innovation cycles studied across industry/applications such as Precision Farming, Drone Analytics, Agriculture Robots & Livestock Monitoring. To realize value they intend, companies like Deere & Company, Prospera, IBM, Farmbot, Gamaya, Mavrx, Precision Hawk, Cainthus, Resson, Awhere, Skysquirrel Technologies, Ec2ce, Vision Robotics, Connecterra, Granular, Microsoft, Agribotix, Descartes Labs, Tule Technologies & The Climate Corporation (Subsidiary of Monsanto) etc need to continuously evaluate their governance, risks and control, infrastructure, and talent to aligned planned growth strategies with their operating business models.
To comprehend Global AI in Agriculture market dynamics, the market study is analysed across major geographical regions/country
• North America: United States, Canada, and Mexico
• South & Central America: Argentina, Chile, Brazil and Others
• Middle East & Africa: Saudi Arabia, UAE, Israel, Turkey, Egypt, South Africa & Rest of MEA.
• Europe: UK, France, Italy, Germany, Spain, BeNeLux, Russia, NORDIC Nations and Rest of Europe.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Thailand, Singapore, Australia and Rest of APAC.
Important Years in Global AI in Agriculture Market Study Major trends of Global AI in Agriculture Market using final data for 2019 and previous years, as well as quarterly or annual reports for 2020. In general, Years considered in the study i.e., base year as 2020, Historical data considered as 2016-2020 and Forecast time frame is 2021-2026.
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The AI in Agriculture study is a perfectly designed with mix of both statistically relevant quantitative data from industry, coupled with insightful qualitative comment and analysis from Industry experts and consultants. To ascertain a deeper view; AI in Agriculture Market Size by key business segments and applications for each of above listed region/country is provided along with competitive landscape that includes Comparative Market Share Analysis by Players (M USD) (2019-2021E) and market concentration rate of AI in Agriculture Industry in 2020.
In-depth company profiles for 15+ AI in Agriculture leading and emerging players that covers 3-years financial history, swot analysis and other vital information like legal name, website, headquarter, % market share and position, distribution and marketing channels and latest developments.
Driving and maintaining growth continues to be a top-of mind issue for Boards, CXOs, and investors in the Technology industry. AI in Agriculture companies and the chain of services supporting them are facing profound business challenges majorly from three factors:
1. The explosive rate at which competitors and AI in Agriculture industry is growing.
2. The amount of growth that is driven by innovation in technologies, value propositions, products and services.
3. The speed at which innovations needs to be furnished in order to drive growth in AI in Agriculture Market.
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