Advance Market Analytics published a new research publication on “Intelligent AgricultureMarket Insights, to 2026″ with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the Intelligent Agriculture market was mainly driven by the increasing R&D spending across the world.
Some of the key players profiled in the study are:
MTC Information Technology (China), AvMap (Italy), Intelligent Agricultural Solutions (United States), Advantech Co., Ltd. (Taiwan), Bilberry (France).
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Scope of the Report of Intelligent Agriculture
Intelligent agriculture is an innovative stage of agricultural production, which integrates mobile terminals, IT platforms, cloud calculation, internet of things, big data, and internet technology.
The titled segments and sub-section of the market are illuminated below:
by Type (Hardware, Software, Services), Application (Agricultural Planting & Production, Livestock, Poultry, Aquaculture, Others)
The Intelligent Agriculture Market report provides a basic overview of the industry including its definition, geography segment, end use/application segment and competitor segment and manufacturing technology. Then, the report explores the international major industry players in detail.
Rapid Development of the Internet and the Internet of Things (IoT)
Embrace Technology & Harvest Data
Potential Markets Such as China and India
The Rising Population Coupled with Increased Food Demand
High Investments in Conventional Farming
Shortage of Skilled Labor force
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Strategic Points Covered in Table of Content of Global Intelligent Agriculture Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Intelligent Agriculture market
Chapter 2: Exclusive Summary – the basic information of the Intelligent Agriculture Market.
Chapter 3: Displayingthe Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Intelligent Agriculture
Chapter 4: Presenting the Intelligent Agriculture Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region/Country 2015-2020
Chapter 6: Evaluating the leading manufacturers of the Intelligent Agriculture market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2021-2026)
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source
finally, Intelligent Agriculture Market is a valuable source of guidance for individuals and companies.
- The top-down and bottom-up approaches are used to estimate and validate the size of the global Intelligent Agriculture
- In order to reach an exhaustive list of functional and relevant players who offer Intelligent Agriculture various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies.
- Thereafter, a thorough validation test is conducted to reach most relevant players specifically having product line i.e. Intelligent Agriculture.
- In order to make priority list sorting is done based on revenue generation as per latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
- Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment. This helps us to gather the data for the players’ revenue, profit, products, growth etc.
- Almost 80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, Annual reports, press releases etc.
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