Smart Farming Market research report is a resource that makes available current as well as upcoming technical and financial details of the industry. The report not only takes into consideration all the market drivers and restraints which are derived from SWOT analysis but also gives all the CAGR projections for the historic year 2018, base year 2019 and forecast period. This industry analysis report speaks in detail about the manufacturing process, type and applications. The Smart Farming Market report acts as a window to the industry which gives description of what market definition, classifications, applications, engagements and market trends are.

The market size, revenue generated from the sales and technologies by various application segments are evaluated in the persuasive Smart Farming Market report. The report gives market analysis by taking into account market structure along with forecast of the various segments and sub-segments of the industry. This market report estimates, Global market development trends for industry. The report also provides the vendor landscape and a corresponding detailed analysis of the major vendors operating in the market. Analysis of upstream raw materials, downstream demand, and current market dynamics is also performed here. Lastly, the report makes few important proposals for a new project of Smart Farming Market before evaluating its feasibility.

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Market Analysis: Global smart farming market is driven by the huge increase in adoption of technology within farming globally, which is projecting a rise in estimated value from USD 7.53 billion in 2018 to an estimated value of USD 19.75 by 2026, registering a CAGR of 12.81% in the forecast period of 2019-2026.

Major Competitors: Few of the major competitors currently working in smart farming market  are Deere & Co., Trimble Inc., AGCO Corporation, Raven Industries, GEA Farm Technologies, Lely, Afimilk Ltd., , Vertical Farm Systems, AeroFarms, Signify Holding, Osram Licht AG, Harvest Automation, AKVA Group Farmers Edge Inc., Mavrx Inc., DTN, GeoVisual Analytics, , Aglytix, and 360 Yield Center.

Smart Farming Market Segmentation: Global Smart Farming Market, By Offering (Hardware, Software, Services), Agriculture Type (Precision Farming, Livestock Monitoring, Fish Farm Monitoring & Others), Application (Smart Greenhouse Applications, Fish Farming Applications & Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa) – Industry Trends and Forecast to 2026

Global Smart Farming Market Drivers, Restraint and Key Development:

Huge increase in the population across the globe increases the demand for food. This increases the use of technology and automation within the farming process to get the maximum yield and output.
Huge initial capital investment is a big barrier in smart farming as every farmer or person indulged into farming can’t be able to do investment at such a level.
In September 2018, Swiss farms with the support of AGCO Corporation in software and hardware officially opened swiss future farms. This has been opened to make digital agriculture more strong and feasible by giving educational and consultancy services.

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Global smart farming market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of Smart Farming Market for global, Europe, North America, Asia Pacific and South America.

Table of Contents-Snapshot

Chapter 1 Industry Overview

Chapter 2 Industry Competition by Manufacturers

Chapter 3 Industry Production Market Share by Regions

Chapter 4 Industry Consumption by Regions

Chapter 5 Industry Production, Revenue, Price Trend by Type

Chapter 6 Industry Analysis by Applications

Chapter 7 Company Profiles and Key Figures in Industry Business

Chapter 8 Industry Manufacturing Cost Analysis

Chapter 9 Marketing Channel, Distributors and Customers

Chapter 10 Market Dynamics

Chapter 11 Industry Forecast

Chapter 12 Research Findings and Conclusion

Chapter 13 Methodology and Data Source

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