Artificial Intelligence (AI) in agriculture is expected to increase the efficiency of farming operating systems. The rise in demand for advanced agricultural solutions is expected to boost the market growth. Further AI is on the verge of becoming an integral part of farming methods improving the quality of the crops being produced.
Deployment of robotics in the field of agriculture has shifted the focus of farmers from traditional practices to adopt the advance farming operating systems integrated with AI technology. This is attributed to driving the AI in the agriculture market during the forecast period 2019–2026. High penetration of the Internet of things (IoT) in the agriculture sector is expected to boost market growth positively.
The AI in Agriculture Market report provides details analysis of the market trends, drivers and restraints to showcase the current and future market scenario. StraitsResearch has ensured to provide a full-proof report that consists of the market strategies based on advanced technologies, applications, and different regions around the globe. The markets are expected to show compelling growth during the forecasted period due to the growing demand for AI in Agriculture.
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The market is segmented into different sections such as by type, by application, by end-users, and by regions. The AI in Agriculture trends we are going to see on the horizon for Industry 4.0 in 2020 is much the same as trends that we’ve seen growing … revolutionizing … over the last few years. To make this report an exceptional one, several parameters are models are used which include SWOT analysis, Porter's five force model, and pestle analysis.
The key objective of this report is to highlight various trends and dynamics, new and inventive technology and mergers and acquisitions that are expected to make a positive impact on the overall industry. Then, the report provides a comprehensive analysis of the AI in the Agriculture industry and has shared complete information about its various features.
StraitsResearch offers a high level of accuracy, an in-depth valuation, and systematic research methodology to the reader that helped to collect the info from direct as well as indirect sources. Forecasting patterns were considered across the various regions where the AI in the Agriculture industry is growing steadily. The report has taken a deep dive into the market and has extracted the data from secondary and primary sources.
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These market estimates have been examined by considering the impact of various political, social, financial, innovative, and legal factors alongside the present market dynamics influencing market development. Elements including the market status, contributions, and R&D initiatives are ascribed to the organization's capabilities. This segment likewise identifies and includes the different ongoing developments undertaken by the key participants.
Reasons to have this report insights-:
The AI in Agriculture market report provides an all-encompassing perspective related to the regional market and comprehends the different components engaged with the purchasing choices.
The report analysis different research projects, significant information which helps the client to settle on learning choices.
The report incorporates segmentation that helps in understanding developing deals with new logical reasoning, new aptitudes, and imaginative projects and instruments.
Top Market Key Players:
Some of the prominent players in artificial intelligence in agriculture market are Thermo Fisher Scientific Inc. (U.S.), GAMAYA (Switzerland), PrecisionHawk (U.S.), Cainthus Ireland Limited (Ireland), VineView (U.S.), Easytosee Agtech, S.L. (Spain), Vision Robotics Corporation (U.S.), Trace Genomics, Inc. (U.S.), RESSON (Canada), Connecterra (Netherlands), Harvest Croo (U.S.).
Segmentation of AI in Agriculture Market:
By Component, Solution, Hardware, Software, Others, Services, Managed, Professional
By Technology, Machine Learning, Computer Vision, Predictive Analytics,
By Application, Precision Farming, Livestock Monitoring, Drone Analytics, Agriculture Robots, Others
The competitive landscape:
The competitive landscape of the AI in the Agriculture market is a highly crucial section of the report that creates a firm portrait of the market’s key players and their rivalries. A reader can evaluate their position in the market by using this scale of reference, while extensively planning their future movements to counter the movements of the other players in the same areas. This segment provides updated details on company profiles, business strategies, financial statistics, growth rate and the future scenario for the key leading players in the market, along with the ones that indicate the most positive growth rates.
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Report Highlights:
AI in Agriculture Market Dynamics (Trends, Drivers, Challenges, Opportunities, Restraints)
SWOT Analysis
Distribution and Logistics Channel Analysis
Import/Export Strategies
Product Benchmarking and Pricing Analysis of Key Industry Players
Policy & Regulation.
The content of the study subjects includes a total of 15 chapters:
Chapter 1, describes AI in Agriculture product scope, market overview, market opportunities, market driving force, and market trends with customer preference.
Chapter 2, Top Leading Players profiling, with price, sales, revenue and global market shares in 2017 and 2018.
Chapter 3, the AI in Agriculture competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the AI in Agriculture breakdown data are shown at the regional level, to show the sales, revenue, and growth by regions, from 2014 to 2019.
Chapters 5, 6, 7, 8 and 9, to break the sales data at the country level, with sales, revenue, and market share for key countries in the world, from 2012 to 2019.
In the end, this report discusses the key drivers influencing the market growth, opportunities, challenges and the risks faced by key players and the AI in the Agriculture market as a whole. Additionally, It analyzes the emerging trends and their impact on present and future market statistics and development.
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