The study on the Global AI in Agriculture Market describes how the technology industry is changing and how the major and emerging players in the industry are responding to the long-term opportunities and short-term challenges they are facing. One of the main attractions of AI in the agriculture industry is its growth rate. Many major technology players – including IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies , Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx & Spensa Technologies etc.
Industries and key technology segments are changing; navigate these changes with the latest insights released on the global AI in Agriculture market research
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Key Highlights of the Global AI in Agriculture Market Report
1) Why would this market research be beneficial?
– The study guides AI companies in agriculture with strategic planning to ensure they realize and drive business value from their growth strategy plans.
2) How is the scope of the study defined?
– The AI in agriculture market is made up of different types of product/service offerings, each with their own business models and technologies. They understand:
Type: hardware, software and AI as a service;
Application: precision agriculture, livestock monitoring, drone analysis, agricultural robots and other applications;
** Further market breakdown/segmentation can be provided; subject to data availability and feasibility.
3) Why would the global AI in agriculture market define a new growth cycle?
– Analysis indicates that AI in agriculture Companies that continued to invest in new products and services, including through acquisitions, experienced sustainable growth, while slower growth in R&D investment has become stagnant. Tech companies with annual R&D growth of more than 20% outperformed their peer group in terms of revenue growth.
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Research shows that global AI companies in agriculture have increased their R&D spending and accelerated mergers and acquisitions. The industry has one of the fastest cycles of innovation studied in industries/applications such as precision agriculture, livestock monitoring, drone analytics, agricultural robots and other applications. To realize the value they hear, companies like IBM, Deere & Company, Microsoft, Agribotix, The Climate Corporation (subsidiary of Monsanto), Granular, Descartes Labs, Prospera, Mavrx, Awhere, Gamaya, Ec2ce, Precision Hawk, Skysquirrel Technologies, Cainthus, Tule Technologies, Resson, Farmbot, Connecterra, Vision Robotics, Harvest Croo, Autonomous Tractor Corporation, Trace Genomics, Vine Rangers, Cropx & Spensa Technologies, etc. must continually assess their governance, risk and control, infrastructure and talent to align growth strategy plans with their operating business models.
To understand the global AI in Agriculture market dynamics, the market study is analyzed across major geographical regions/countries
– North America: United States, Canada and Mexico
– South and Central America: Argentina, Chile, Brazil and others
– Middle East and Africa: Saudi Arabia, United Arab Emirates, Israel, Turkey, Egypt, South Africa and rest of MEA.
– Europe: United Kingdom, France, Italy, Germany, Spain, Benelux, Russia, NORDIC countries and rest of Europe.
– Asia-Pacific: India, China, Japan, South Korea, Indonesia, Thailand, Singapore, Australia and the rest of APAC.
Significant Years in the Global AI in Agriculture Market Research Key trends in the Global AI in Agriculture Market using final data for 2021 and earlier years, and quarterly or annual reports for 2021. In general, the years considered in the study, i.e. i.e. the base year is 2021, the historical data is taken as 2017 -2021, and the forecast period is 2022-2028.
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The AI in Agriculture study is perfectly designed with a blend of statistically relevant quantitative industry data coupled with insightful qualitative commentary and analysis from industry experts and consultants. To determine a deeper view; The AI in Agriculture market size by key business segments and applications for each of the aforementioned regions/countries is provided with a competitive landscape that includes comparative market share analysis by players (USD M) (2020 -2022E) and an AI market concentration rate in the agricultural industry in 2022.
Detailed company profiles for 15+ leading and emerging AI in Agriculture players which covers 3 years financial history, SWOT analysis and other vital information like legal name, website , head office, market share percentage and position, distribution and marketing channels, and latest developments.
Driving and sustaining growth continues to be a top concern for tech boards, CXOs and investors. AI businesses in agriculture and the service chain that supports them face profound business challenges primarily due to three factors:
1. The explosive pace at which competitors and AI in the agriculture industry are developing.
2. The amount of growth that is driven by innovation in technologies, value propositions, products and services.
3. The speed at which innovations need to be delivered in order to drive the growth of AI in the agriculture market.
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