Smart agriculture is a concept emphasized on offering the
agricultural industry with the infrastructure to leverage advanced technology. Additionally,
connected technologies such as Zigbee, WiFi, additional wireless sensor and low
power wide area network technology are few of the different technologies which assist
farmers efficiently execute various agriculture operations such as purchasing, harvesting,
planting and inventory control. Moreover, the increase in adoption of IoT and
artificial intelligence by farmers help monitor the crop field and automate the
irrigation process. The enormous growth of the global smart
agriculture market is mainly ascribed to rising application of remote sensing,
GIS, VRT, guidance technology and GPS in smart agriculture for improving the
productivity. In the recent years, farm operating expenses are very high; hence,
farmers are deploying technologies which will reduce their dependency on
farmers and labors. Technologies which include agricultural drones with cameras
are highly used for applications such as spraying, weeding, harvesting and
pruning of farmlands. These types of advancements in smart agriculture are
creating awareness among farmers to adopt smart agriculture technologies and therefore
fueling the market growth. Furthermore, the governments across the world are joining hands
with several different agro-processing organizations, food & beverages
manufacturers and financial institutions for the growth of considerable
agriculture initiatives. These initiatives aim at rising efficiency of the
farmers, their productivity and offer more food security. In addition, the collaboration
between public-private firms in the developing nations such as China, India,
and Brazil have created more revenue opportunity for the farmers, which fuels
the growth of the smart agriculture market. Moreover, several agriculture
industries are collaborating with various European governments for implementing
advance technology such as IoT and machine learning to allow farmers to
efficiently plan and execute several agricultural operations. Therefore, is
creating a lucrative opportunity for the market growth. On the other hand, one
of the key factors which restrict the growth of smart agriculture is the heavy
investment needed for deployment of different components in the agriculture.
The rising adoption of smartphones with software and hardware
devices applications may create immense opportunities for the market in the
future. Also, faster availability of smart farming applications (apps) for
monitoring weather and climate conditions in low cost are some of the factors which
are anticipated to increase the demand for climate smart agriculture market.
The
global Smart Agriculture Market is segregated on the basis of Agriculture Type as
Precision Farming, Livestock Monitoring, Precision Aquaculture, Precision
Forestry, Smart Greenhouse and Others. Based on Offering the global Smart
Agriculture Market is segmented in Hardware, Software and Services. Based on Application
the global Smart Agriculture Market is segmented in Precision Farming,
Livestock Monitoring, Precision Aquaculture, Precision Forestry, Smart
Greenhouse and Others. Based on Farm Size the global Smart Agriculture Market
is segmented in Small, Medium and Large.
The
global Smart Agriculture Market report provides geographic analysis covering
regions, such as Europe, North America, Asia Pacific, and Rest of The World.
The Smart Agriculture Market for each region is further segmented for major
countries including the U.S., Canada, Germany, the U.K., France, Italy, China,
India, Japan, Brazil, South Africa, and others.
Competitive Analysis
Ag Leader
Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems Inc., Autonomous
Solutions, Inc. and others are among the major players in the global Smart
Agriculture Market. The companies studied in terms of product strategy and
various n several growth and expansion strategies to gain a competitive edge in
the market. The major players not only follow value chain integration with
business operations in multiple stages of the value chain.
- In
January 2021, John Deere made major advancements to its flagship digital
product, the Operations Center, by including a new Work Planner feature enabling
farmers to streamline their work setup experience and help operators work faster
in the field. It offers farmers with a holistic tool to handle their farms, set
up, plan, monitor fieldwork, and analyze their data.
- In
November 2020, John Deere introduced the new AutoPath, a new precision agriculture
application which uses data gathered from the first pass in the field to
establish accurate row guidance for all subsequent field passes, despite of the
machine type or width of the equipment. AutoPath is incorporated in the John
Deere Generation 4 Automation Bundle and is available for the 4600 Command Center
Integrated Display or the 4640 Universal Display.
The global Smart Agriculture Market has been
segmented as below:
Smart
Agriculture Market, By Agriculture Type
- Precision Farming
- Livestock Monitoring
- Precision Aquaculture
- Precision Forestry
- Smart Greenhouse
- Others
Smart
Agriculture Market, By Offering
Smart
Agriculture Market, By Application
- Precision Farming
- Livestock Monitoring
- Precision Aquaculture
- Precision Forestry
- Smart Greenhouse
- Others
Smart
Agriculture Market, By Farm Size
Smart
Agriculture Market, By Region
- Europe
- North America
- Asia Pacific
- Rest of The World
Smart
Agriculture Market, By Company
- Ag Leader Technology
- AGCO Corporation
- AgJunction, Inc.
- AgEagle Aerial Systems Inc.
- Autonomous Solutions, Inc.
- Argus Control Systems Ltd
- BouMatic Robotic B.V.
- CropMetrics
- CLAAS KGaA mbH
- CropZilla
- Deere & Company
- DICKEY-john
- DroneDeploy
- DeLaval Inc.
- Farmers Edge Inc.
- Grownetics, Inc.
- Granular, Inc.
- Gamaya
- GEA Group Aktiengesellschaft
- Raven Industries
- SST Development Group, Inc.
The
report covers the below scope:
- Global Smart Agriculture Market
sizes from 2020 to 2026, along with CAGR for 2020-2026
- Market size comparison for 2019 vs
2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to
2026
- Global Smart Agriculture Market
trends, covering comprehensive range of consumer trends & manufacturer
trends
- Value chain analysis covering
participants from raw material suppliers to the downstream buyer in the global Smart
Agriculture Market
- Major market opportunities and
challenges in forecast timeframe to be focused
- Competitive landscape with analysis
on competition pattern, portfolio comparisons, development trends and strategic
management
- Comprehensive company profiles of
the key industry players
The
years considered for the study are as follows:
- Base year - 2019
- Estimated year - 2019
- Projected year - 2020
- Forecast period - 2021 to 2026
Report
Scope:
The global Smart Agriculture Market report scope
includes detailed study covering underlying factors influencing the industry
trends. The report covers analysis on regional and country level market
dynamics. The scope also covers competitive overview providing company market
shares along with company profiles for major revenue contributing companies.
The report scope includes detailed competitive outlook covering market shares
and profiles key participants in the global Smart Agriculture Market share.
Major industry players with significant revenue share include Ag
Leader Technology, AGCO Corporation, AgJunction, Inc., AgEagle Aerial Systems
Inc., Autonomous Solutions, Inc. and
others.
Why to
Buy this Report:
- Gain detailed insights on the Smart Agriculture
industry trends
- Find complete analysis on the
market status
- Identify the Smart Agriculture
Market opportunities and growth segments
- Analyse competitive dynamics by
evaluating business segments & product portfolios
- Facilitate strategy planning and
industry dynamics to enhance decision making
Target
Audience:
- The report targeted towards the existing players in
the industry is as follows:
- Market Manufacturers/Service
Providers
- Market Wholesale/Traders
- Investment and Financial
Institutions
Free
and Paid Customization based on the requirement