Global Smart Plantation Management System Market Overview:

The smart plantation management system is an intelligent system based on the information collected by the sensors. It includes temperature and humidity, soil moisture, soil temperature in the greenhouse, using wireless or wired transmission to send the sensor information to the converter, and connected to the host computer for display, alarm, and query. The application of the intelligent management system for plantation will effectively and orderly manage the garden and adopt real-time monitoring methods for the soil conditions, ecological environment, and climatic factors of growth to ensure the healthy growth of the plant.

Global Smart Plantation Management System Market Insights

The global smart plantation management system market size was valued at USD 1.45 billion in 2019 and expected to generate USD 1.74 billion by 2027, with a CAGR of over 2.30%, during the forecast period, 2020-2027. The growth of the market is based on the increasing adoption of plantation intelligence and data mining by farmers. Additionally, the reduced waste of resources and workforce across the world is anticipated to fuel the demand for smart plantation management systems across the globe in the coming years. The smart plantation management system is gradually using the expansion of wireless communication systems, agricultural sensors, machine learning, cloud computing, IoT technology, and big data technology. These factors are expected to drive the growth of the global smart planting management system market during the forecast period. Further, the growing number of smart agricultural systems and smart plantation management systems interconnected through the internet and the cloud platform is expected to propel the growth of the Smart Plantation Management System market.

Moreover, Farmers worldwide are increasingly adopting plantation intelligence and data mining technologies, which will increase the market growth rate during the forecast. A large number of smart systems and smart sensors that are widely interconnected through cloud platforms and the internet have introduced advanced technologies. Also, the development of unmanned aerial vehicles with autonomous flight control systems, power, and lightweight hyperspectral snapshots cameras will fuel the global smart plantation management system industry across the globe in the coming years. More and more government subsidies, smart agricultural equipment based on the Internet of Things, investment in the development of emerging smart technologies, and the increase in end-to-end solutions will drive overall demand. The growing adoption of the decision–tree model and advanced software platform will foster the growth of the global smart plantation management system market share.  Additionally, the upsurge in drone-based imaging systems, remote sensing techniques, and 3D laser scanning in the agriculture sector will spur the global smart plantation management system market in the analysis periods.

Growth Driver

Increase in the adoption of data mining and plantation intelligence (pi) by farmers

The Internet of Things is changing the production and lifestyle of various fields such as manufacturing, home, and traditional agriculture. Through the Internet of Things, it can connect crops, agricultural production tools, and people. It can record and analyze the production environment data of farm crops and the data of crops themselves and provide feedback to people in time to guide people’s rapid development. The application of agricultural IoT technology in cultivation can help farmers monitor the growth status of grapes in real-time, promote the automation and intelligence of grape cultivation, realize scientific management of grape cultivation, and increase production and income. With the growing use of wireless communication systems, agricultural sensors, machine learning, cloud computing, IoT technology, and big data technologies will foster smart plantation management systems.

The rising adoption of smart irrigation technologies

Drip irrigation technology is currently one of the commonly used techniques for cultivation. The application of drip irrigation technology saves water resources to a large extent and realizes the effective use of water resources. Still, it also has many problems, such as the small diameter of the drip outlet and easy Blockage, etc. The introduction of an automatic frequency conversion irrigation system through the internet of the Things control box is an application of the agricultural Internet of Things technology.

The automatic frequency conversion irrigation system uses frequency conversion technology to realize the automatic start and stop of the pump. It does not need to run for a long time, reducing the load of the pump. As long as the relevant parameters are set, the water pressure and flow speed in the pipeline can be maintained at a single level. Within a reasonable range, damage to the pipe is avoided, and the occurrence of pipeline blockage is reduced.

Component Segmental Analysis

Based on the component, the global smart plantation management system market bifurcates into hardware and software. The hardware will witness remarkable growth in the forecast period. It is primarily attributed to the growing usage of sensors, controllers, GPS devices, displays, flow meters, solenoid valves, and switches, etc. in smart plantation management.

The software will grow with a lucrative CAGR in the estimated period due to the surge in demand for cloud computing, IoT technology, and big data technologies in the agriculture sector.

Type Segmental Analysis

Based on the type, the global smart plantation management system market segregated into irrigation systems, plant growth monitoring systems, and harvesting systems. The plant growth monitoring systems captured the largest share in 2019 and projected to dominate the global smart plantation management system market by 2027. It is due to the smart plantation system to help the farmers control and track the plant’s growth through sending alerts and notifications.

The irrigation systems will grow at a significant rate in the forecast period because it controls and monitors the water scheduling for plantation crops based on the data collected by sensors.

Crop Segmental Analysis

Based on the crop, the global smart plantation management system market segmented into coffee, oilseeds, sugarcane, fruits, cotton, and others. The fruits segment estimated to lead the market by 2027. It is because fruits have emerged as a key crop for utilizing the smart plantation management system’s applications. These fruits are grapes, citrus fruits, and apples, etc.

The coffee will grow at a substantial rate during the forecast period because smart plantation help in effectively and orderly manage the tea garden, and adopt real-time monitoring methods for the soil conditions, ecological environment, and climatic factors.

Region Segmental Analysis

Based on geography, the global smart plantation management system market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. The Asia Pacific accounted for the largest share in the global smart plantation management system market in 2019. It is due to the extensive cultivation of plantation crops, which include tea, sugarcane, and cotton, government support to promote the IoT in farming, rising concern regarding the environment, and adverse climate conditions.

North America occupied a prominent share of the smart plantation management system market and projected to remain dominant by 2027. The presence of key manufacturers, service providers, involved in the smart plantation management systems market, lack of proper information and erratic weather patterns result in crop losses.

Competitor Analysis

Companies such as Robert Bosch, Deere & Company, Netafim, Synelixis Solutions, DTN, AgroWebLab Co., Ltd, SemiosBio Technologies, WaterBit, Phytech, Tevatronics, Rivulis, Jain Irrigation Systems, Hidrosoph, AG Leader Technology, Teejet Technologies,  AquaSpy, and Crop Metrics are the key players in the global smart plantation management System market.

Key Stakeholders

• Market research and consulting firms
• Industry associations
• Global smart plantation management system manufacturing firm & service providers
• Research organizations and consulting companies
• Organizations, associations, and alliances related to smart plantation management system
• Regulatory bodies
• Suppliers
• Retailers

The objective of the Research

• Market modeling starts with identifying a target market where historical data exists. A Market can include prediction problems, economic factors, analyzing customer behavior, and identifying new patterns from past events, which helps our client to have deep dive into the market.
• Product analysis involves steps such as examining product features, costs, availability, quality, and other aspects. Product analysis is conducted to understand potential buyers and measure competition in the market.
• Market Trend and Economic Factors Analysis helps in assessing potential changes to an economy’s inflation rate, taxes, interest rates, exchange rates, trading regulations, and excise duties that can or have a major effect on the target market.
• Market Segmental Analysis defines in-depth scenario of the target market by the process of grouping consumers into naturally existing created segments of consumers who share similar product preferences or characteristics
• The geographical mapping approach helps our clients to understand national or international markets because different consumers in different regions have different needs wants, and cultural characteristics that can be specifically targeted.

Market Modelling

By Component

• Hardware
• Software

By Type

• Irrigation Systems
• Plant Growth Monitoring Systems
• Harvesting Systems

By Crop

• Coffee
• Oilseeds
• Sugarcane
• Fruits
• Cotton
• Others

By Region

• North America
• Europe
• Asia Pacific
• South America
• Middle East & Africa

Global Smart Plantation Management System Market

Report Content

1. Research Strategic Development
   • Market Modelling
   • Product Analysis
   • Market Trend and Economic Factors Analysis
   • Market Segmental Analysis
   • Geographical Mapping
   • Country Wise Segregation
2. Research Methodology
   • Identification of Target Market
   • Data Acquisition
   • Refining of Data/ Data Transformations
   • Data Validation through Primary Techniques
   • Exploratory Data Analysis
   • Graphical Techniques/Analysis
   • Quantitative Techniques/Analysis
   • Visual Result/Presentation
3. Executive Summary
4. Market Insights
   • Supply Chain Analysis
   • Economic Factor Analysis
     • Drivers
     • Trends
     • Opportunities
     • Challenges
   • Technological Landscape
   • Competitors & Product Analysis
   • Regulatory Framework
   • Company market share analysis, 2019
   • Porter’s Five forces analysis
   • New Investment Analysis
   • PESTEL Analysis
5. Global Smart Plantation Management System Market Overview
   • Market Size & Forecast, 2016-2027
     • Demand
       • By Value (USD Million)
     • Market Share & Forecast, 2016-2027
       • By Component
         • Hardware
         • Software
       • By Type
         • Irrigation Systems
         • Plant Growth Monitoring Systems
         • Harvesting Systems
       • By Crop
         • Coffee
         • Oilseeds
         • Sugarcane
         • Cotton
         • Fruits
         • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
       • By Region
         • North America
         • Europe
         • Asia Pacific
         • South America
         • Middle East & Africa

6. North America Smart Plantation Management System Market Overview
   • North America Smart Plantation Management System Market Size & Forecast, 2016-2027
     • Demand
       • By Value (USD Million)
     • North America Smart Plantation Management System Market Share & Forecast, 2016-2027
       • By Component
         • Hardware
         • Software
       • By Type
         • Irrigation Systems
         • Plant Growth Monitoring Systems
         • Harvesting Systems
       • By Crop
         • Coffee
         • Oilseeds
         • Sugarcane
         • Cotton
         • Fruits
         • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
       • By Country
         • US
         • Canada
         • Mexico
       • Company Market Share (Top 3-5)
       • Economic Impact Study on North America Smart Plantation Management System Market

7. Europe Smart Plantation Management System Market Overview
   • Europe Smart Plantation Management System Market Size & Forecast, 2016-2027
     • Demand
       • By Value (USD Million)
     • Europe Smart Plantation Management System Market Share & Forecast, 2016-2027
       • By Component
         • Hardware
         • Software
       • By Type
         • Irrigation Systems
         • Plant Growth Monitoring Systems
         • Harvesting Systems
       • By Crop
         • Coffee
         • Oilseeds
         • Sugarcane
         • Cotton
         • Fruits
         • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
       • By Country
         • Germany
         • UK
         • France
         • Italy
         • Rest of Europe
       • Company Market Share (Top 3-5)
       • Economic Impact Study on Europe Smart Plantation Management System Market

8. Asia Pacific Smart Plantation Management System Market Overview
   • Asia Pacific Smart Plantation Management System Market Size & Forecast, 2016-2027
     • Demand
       • By Value (USD Million)
     • Asia Pacific Smart Plantation Management System Market Share & Forecast, 2016-2027
       • By Component
         • Hardware
         • Software
       • By Type
         • Irrigation Systems
         • Plant Growth Monitoring Systems
         • Harvesting Systems
       • By Crop
         • Coffee
         • Oilseeds
         • Sugarcane
         • Cotton
         • Fruits
         • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
       • By Country
         • China
         • India
         • Japan
         • Australia
         • Rest of Asia Pacific
       • Company Market Share (Top 3-5)
       • Economic Impact Study on Asia Pacific Smart Plantation Management System Market

9. South America Smart Plantation Management System Market Overview
   • South America Smart Plantation Management System Market Size & Forecast, 2016-2027
     • Demand
       • By Value (USD Million)
     • South America Smart Plantation Management System Market Share & Forecast, 2016-2027
       • By Component
         • Hardware
         • Software
       • By Type
         • Irrigation Systems
         • Plant Growth Monitoring Systems
         • Harvesting Systems
       • By Crop
         • Coffee
         • Oilseeds
         • Sugarcane
         • Cotton
         • Fruits
         • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
       • By Country
         • Brazil
         • Argentina
         • Rest of South America
       • Company Market Share (Top 3-5)
       • Economic Impact Study on South America Smart Plantation Management System Market

10. Middle East & Africa Smart Plantation Management System Market Overview
    • Middle East & Africa Smart Plantation Management System Market Size & Forecast, 2016-2027
      • Demand
        • By Value (USD Million)
      • Middle East & Africa Smart Plantation Management System Market Share & Forecast, 2016-2027
        • By Component
          • Hardware
          • Software
        • By Type
          • Irrigation Systems
          • Plant Growth Monitoring Systems
          • Harvesting Systems
        • By Crop
          • Coffee
          • Oilseeds
          • Sugarcane
          • Cotton
          • Fruits
          • Others (Cocoa, Coconuts, Areca Nuts, and Tea)
        • By Country
          • Saudi Arabia
          • UAE
          • South Africa
          • Rest of Middle East & Africa
        • Company Market Share (Top 3-5)
        • Economic Impact Study on Middle East & Africa Smart Plantation Management System Market

11. Competitor Analysis
    • Company Description
    • Financial Analysis
    • Key Products
    • Key Management Personnel
    • Contact Address
    • SWOT Analysis
    • Company Profile
      • Robert Bosch
      • Deere & Company
      • Netafim
      • Synelixis Solutions
      • DTN
      • AgroWebLab Co., Ltd
      • SemiosBio Technologies
      • WaterBit
      • Phytech
      • Tevatronics
      • Rivulis
      • Jain Irrigation Systems
      • Hidrosoph
      • AG Leader Technology
      • Teejet Technologies
      • AquaSpy
      • Crop Metrics
      • Other Prominent Players