Global Intelligent Agriculture Market 2019 by Manufacturers, Regions, Type and Application, Forecast to 2024

SKU ID : GIR- 13788327

Publishing Date : 14-Aug-2019

No. of pages : 135

PRICE
3480
6960

  • Intelligent Agriculture is the practice of producing food and medicine in vertically stacked layers, vertically inclined surfaces and/or integrated in other structures (such as in a skyscraper, used warehouse, or shipping container).

    Scope of the Report:
    The worldwide market for Intelligent Agriculture is expected to grow at a CAGR of roughly xx% over the next five years, will reach xx million US$ in 2024, from xx million US$ in 2019, according to a new study.
    This report focuses on the Intelligent Agriculture in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.

    Market Segment by Manufacturers, this report covers
    AeroFarms
    Gotham Greens
    Plenty (Bright Farms)
    Lufa Farms
    Beijing IEDA Protected Horticulture
    Green Sense Farms
    Garden Fresh Farms
    Mirai
    Sky Vegetables
    TruLeaf
    Urban Crops
    Sky Greens
    GreenLand
    Scatil
    Jingpeng
    Metropolis Farms
    Plantagon
    Spread
    Sanan Sino Science
    Nongzhong Wulian
    Vertical Harvest
    Infinite Harvest
    FarmedHere
    Metro Farms
    Green Spirit Farms
    Indoor Harvest
    Sundrop Farms
    Alegria Fresh

    Market Segment by Regions, regional analysis covers
    North America (United States, Canada and Mexico)
    Europe (Germany, France, UK, Russia and Italy)
    Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
    South America (Brazil, Argentina, Colombia etc.)
    Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

    Market Segment by Type, covers
    Hydroponics
    Aeroponics
    Others

    Market Segment by Applications, can be divided into
    Vegetable Cultivation
    Fruit Planting
    Others

    The content of the study subjects, includes a total of 15 chapters:
    Chapter 1, to describe Intelligent Agriculture product scope, market overview, market opportunities, market driving force and market risks.
    Chapter 2, to profile the top manufacturers of Intelligent Agriculture, with price, sales, revenue and global market share of Intelligent Agriculture in 2017 and 2018.
    Chapter 3, the Intelligent Agriculture competitive situation, sales, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
    Chapter 4, the Intelligent Agriculture breakdown data are shown at the regional level, to show the sales, revenue and growth by regions, from 2014 to 2019.
    Chapter 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 2014 to 2019.
    Chapter 10 and 11, to segment the sales by type and application, with sales market share and growth rate by type, application, from 2014 to 2019.
    Chapter 12, Intelligent Agriculture market forecast, by regions, type and application, with sales and revenue, from 2019 to 2024.
    Chapter 13, 14 and 15, to describe Intelligent Agriculture sales channel, distributors, customers, research findings and conclusion, appendix and data source.

    Frequently Asked Questions



    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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