Smart Plantation Management System Market Forecast and Trends
The global Smart Plantation
Management System market is anticipated to grow nearly at a CAGR of 6.5 % to
reach US$ 1.48 billion by 2026. The major factors driving the growth of the
market for smart plantation management systems include increasing farmers '
acceptance of plantation intelligence (PI) and data mining and reducing
resource and manpower waste. The software allows farmers to use a smartphone or
a laptop to control and manage their fields, removing the need to visit the
fields regularly. These factors are expected to drive the growth of the
software segment. Smart irrigation systems conserve approximately 20 percent
more water than conventional irrigation systems, which is one of the key
drivers of the Plantation Management Systems market.
In addition, the Smart
Plantation Management Systems market would increase by government support to
promote the Internet of Things (IoT) in farming, unfavorable climatic
conditions, raise environmental concerns, decrease productivity, and reduction
of farmland numbers.
Smart Plantation Management System Market Overview:
Smart Plantation Management
Systems is a management philosophy that aims to provide the agricultural
industry with the infrastructure to use advanced technology for tracking,
monitoring, automating and analyzing operations, including big data, the
Internet of Things, and the cloud. Smart Plantation Management Systems often
make it possible to control the demand forecast carefully and to deliver goods
to the market just in time to reduce waste. Smart Plantation Management Systems
focuses on controlling land supply and, depending on its condition, focusing on
the right growing parameters–such as moisture, fertilizer, or material
content–to provide input for the right crop on demand.
Increasing adoption of
plantation intelligence (PI) and data mining by farmers
Planting intelligence (PI)
and data mining in agriculture integrates IoT-based advanced technological
tools, systems, equipment, and solutions to increase operational efficiency,
optimize yield, and reduce energy waste through real-time field data
collection, data storage, data analysis, and application creation. Numerous
IoT-based technologies, such as precision farming, monitoring of livestock,
smart greenhouse, and monitoring of fish farms, are expected to be instrumental
in increasing the speed of farming processes.
Reduction in the wastage of
agricultural resources and manpower
Due to working conditions
and pay, the farm owners are facing a severe labor shortage, resulting in the
wastage of several crops and agricultural land. Erratic weather patterns and
insufficient knowledge often contribute to crop losses. In the form of smart
plantation management systems, this has resulted in more farms finding
cost and Lack of Consumer Awareness concerning smart plantation management
systems impeding the market of Smart Plantation Management System
The high capital investment
and lack of awareness in the adoption of smart plantation management systems is
expected to hamper the growth of smart plantation management systems market.
Smart Plantation Management System Market: Type
Based on Type, the Smart
Plantation Management System market segmented into Irrigation systems, Plant
growth monitoring systems, and Harvesting systems. The irrigation systems
segment is estimated to dominate the market for smart plantation management
systems. Smart irrigation systems track and monitor plant crop water schedules
based on sensor data. In addition, the use of smart irrigation systems reduces
the amount of water needed for irrigation, resulting in reduced operating
costs, especially for vast agricultural land.
Smart Plantation Management System Market: Crop Type
Based on Crop Type, the
Smart Plantation Management System market segmented into Coffee, Oilseeds,
Sugarcane, Cotton, Fruits, and Others (cocoa, coconuts, areca nuts, and tea).
During the forecast period, the Fruits segment is expected to account for the
largest market share, as fruit has emerged as a vital crop for the use of smart
plantation management systems, given a large number of players offering smart
fruit plantation systems and technologies developed for different fruit types.
Grapes, citrus fruits, and apples are the main fruits where, due to their
higher demand, smart plantation management systems were introduced.
Smart Plantation Management System Market: Component
Based on Component, the
Smart Plantation Management System market bifurcated into Hardware, and
Software. The hardware segment is foreseen to dominate the market in smart,
plantation management systems. Among other items, the hardware portion consists
of different sensors, controls, GPS units, displays, flow meters, solenoid
valves, and switches. In order to sense and collect real-time data, sensors are
mounted on the plants or soil to produce reports and maps to help farmers make
decisions about their crops. Soil, water, environment, moisture, wind speed,
and temperature sensors are some of the key sensors used. Therefore, software
device advancement drives hardware component development.
Smart Plantation Management System Market: Regional insights
By geography, the global
Smart Plantation Management System Market segregated into North America,
Europe, Asia Pacific, Middle East & Africa, and Latin America. The Asia
Pacific dominated the market for Smart Plantation Management Systems and is
expected to see robust growth due to favorable climatic conditions for crops.
Because of the massive crop production, which includes tea, sugarcane, and
cotton, it has enormous potential. China holds the largest market share due to
the presence of a large crop area, particularly for tea, sugar cane, and fruit.
Plantation Management System Market: Competitive Landscape
The major market players in
the Global Smart Plantation Management System are Robert Bosch, Deere &
Company, Netafim, Synelixis Solutions, DTN, AgroWebLab Co., Ltd., SemiosBio
Technologies,, WaterBit, Phytech, Tevatronics, Rivulis, Jain Irrigation
Systems, Hidrosoph, AquaSpy, and other Prominent Players are expanding their
presence in the market by implementing various innovations and technologies.
objective of the Study:
To analyze and forecast the
global Smart Plantation Management System market size of the market, in terms
To examine the careful
market segmentation and forecast the market size, in terms value, based on the
region by segmenting the Global Smart Plantation Management System market into
five regions, namely, North America, Europe, Asia Pacific, Middle East, South
America and their leading countries.
To outline, categorized and
forecast the global Smart Plantation Management System market based on the
Type, Crop type, and Component.
To examine competitive
developments like technological advancement, services, and regulative framework
within the global Smart Plantation Management System Market.
To highlight the impact
analysis of the factors, affecting the market dynamics such as drivers,
restraints, opportunities, and challenges.
To strategically profile the
key players and comprehensively analyze their market shares along with
detailing the competitive landscape for market leaders.
of the Report
Plant growth monitoring systems
By Crop Type
Others (cocoa, coconuts, areca nuts, and tea)
Middle East & Africa
Questions answer by the report
How will the market drivers, restraints and
opportunities affect the market dynamics?
What will be the market size in terms of
value and volume and market statistics with a detailed classification?
Which segment dominates the market or region
and one will be the fastest growing and why?
A comprehensive survey of the competitive
landscape and the market participant players
Analysis of strategy adopted by the key
player and their impact on other players.
Scope for the Client
Client satisfaction is our
first and last priority and that is why BlueWeave Consulting offers
customization according to Company’s specific needs. The following customization
options are available for the report:
With five additional company detail analysis
Additional country analysis
Detailed segment analysis