Eternity Insights has published a new study on Global Artificial Intelligence (AI) In Agriculture Market focusing on key segments By Offering (Hardware, Software, AI-as-a-Service, Services), By Technology (Machine Learning, Computer Vision, Predictive Analytics), By Application (Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others), and by region. This deep dive research report highlights the market and competitive intelligence across the key segments of the market. The report also considers the impact of COVID-19 on the global Artificial Intelligence (AI) In Agriculture Market.
The report considers 2018-2020 as historic period, 2021 as base year, and 2022-2028 as forecast period. The report includes quantitative analysis of the market supported by the market drivers, challenges, and trends to accurately map the market scenario and competition. Moreover, key insights related to market having direct impact on the market will also be covered.
Artificial Intelligence (AI) In Agriculture Market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through the primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.
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Geographically, the market is categorized in to five regions as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America region dominates the global Artificial Intelligence (AI) In Agriculture market in terms of demand generation. The Artificial Intelligence (AI) In Agriculture market in Asia Pacific region is expected to grow at significantly high growth rate. The regional market is further sub-segmented and analyzed at granular level across key countries. The report will include market size and forecast for Artificial Intelligence (AI) In Agriculture market for below listed coun-tries across each region.
North America (U.S. and Canada), Europe (Germany, France, Italy, UK, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific region); Latin America (Brazil, Mexico, and rest of the Latin America); Middle East and Africa (GCC, South Africa, and Rest of the Middle East and Africa).
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The global Artificial Intelligence (AI) In Agriculture market analysis report covers detailed analysis of competitive scenario across globe. The report includes profiles of leading players covering below details
| Report Attributes | Details |
| The market size value in 2021 | USD XX.XX Million |
| CAGR (2021 - 2028) | XX.XX % |
| The Revenue forecast in 2028 | USD XX.XX Million |
| Base year for estimation | 2021 |
| Historical data | 2018-2019 |
| Forecast period | 2022-2028 |
| Quantitative units |
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| Report coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments covered | By Type Outlook, Application Outlook, Regional Outlook |
| By Offering Outlook | Hardware, Software, AI-as-a-Service, Services |
| By Application Outlook | Precision Farming, Agriculture Robots, Livestock Monitoring, Drone Analytics, Labor Management, Others |
| Regional scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Country scope | U.S., Canada, U.K., Germany, France, BENELUX, China, India, Japan, South Korea, Brazil, Saudi Arabia, UAE, Turkey |
| Key companies profiled | Alphabet (Google), IBM,Intel, Samsung,Microsoft, Amazon Web Services, Qualcomm,Micron,Tesla, Toyota Motor Corporation, Uber Technologies, Volvo Corporation,Xilinx, SoundHound,Audi, BMW,Daimler, Didi Chuxing, Ford Motor Company, General Motors Company, Harman Industrial Industries, Honda Motor, Hyundai Motor Corporation |
| Customization Available | Yes, the report can be tailored to meet your specific requirements. |
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