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Global Smart Agriculture Market by Offering (Hardware (GPS, Drones, Sensors, RFID, LED Grow Lights), Software (Cloud Based, On-premises and AI-as-a-Service) and Service), by Agriculture Type (Precision Farming, Livestock Monitoring, , Precision Aquaculture, Smart Greenhouse, Precision Forestry and Others), By Application (Precision Farming Applications, Livestock Monitoring Applications, and Smart Greenhouse Applications), and By Region (North America, Europe, Asia Pacific, South America, and Middle East & Africa)- Global Forecast to 2030.
Global Smart Agriculture Market Overview:
The global smart agriculture market size is estimated to reach USD 54.6 billion by 2030, with a CAGR of over 12.95%, during the forecast period, 2022-2030 and it was valued at USD 25.62 billion in 2022. Smart agriculture is combining the Internet of Things technology with traditional agriculture, using sensors and software to control agricultural production through mobile platforms or computer platforms, and making conventional agriculture smarter. In addition to precise perception, control, and decision management, in a broad sense, smart agriculture includes agricultural e-commerce, food traceability, anti-counterfeiting, agricultural leisure tourism, and agricultural information services. Smart agriculture is the full application of modern information technology achievements, integrated application of computer and network technology, Internet of Things technology, audio and video technology, 3S technology, wireless communication technology, and expert wisdom.Global Smart Agriculture Market Insights
The market’s growth is based on a rise in the adoption of IoT and AI in field farming, livestock monitoring, and agriculture farms. Additionally, the increasing demand for RFID, biometrics, and GPS help cultivators to automatically obtain information regarding livestock in real-time are expected to propel the growth of the smart agriculture market in the upcoming periods. Furthermore, the growing population and the increasing demand for food have encouraged the use of smart and modern technologies for agriculture; these factors are anticipated to fuel the global smart agriculture industry in the coming years. The Internet of Things, GPS, and favorable government initiatives are likely to increase market growth in the coming few years. Moreover, the mounting pressure on the food supply system due to the surging use of modern technologies in agriculture farms, the rapidly growing population, the rising income levels, and the demand for protein-rich aqua food will spur the global smart agriculture market share in the analysis periods. Also, the growing demand for smart agriculture to automate farming processes such as weeding, soil maintenance, fruit picking, planting, harvesting, plowing, and irrigation, among others, will accelerate the market’s growth. Also, the expanding focus on disease detection and livestock monitoring to enhance farming efficiency will trigger the global smart agriculture industry in future periods.Growth Driver
Increasing demand for modern technologies in agriculture farms. The remote monitoring and control system of the Internet of Things, which can monitor environmental parameters such as temperature, humidity, and carbon dioxide concentration, is installed in the shed.
With real-time data analysis with functions such as automatic temperature increase and decrease, automatic humidity addition, and automatic rolling shutters, farmers can also use the mobile phone APP (application program) for manual remote operation to make the shed environment more suitable for crop growth. The paddy field can monitor data such as light intensity, soil pH, and fertility, transmit it to the terminal in real-time via 5G, and automatically generate the physical examination report of the paddy field.The rising pressure on the food supply system owing to the rapidly growing population
According to the United Nations, the world’s population is expected to increase by 2 billion persons in the next 30 years and 9.7 billion in 2050 and could peak at nearly 11 billion around 2100. Smart agriculture can help developing countries eradicate poverty, realize the advantages of backwardness, take the lead in economic development, and realize the catch-up strategy. In the process of food safety, build a traceability system for agricultural products, record and store various relevant information in the production and processing of agricultural products.Offering Segmental Analysis
Based on the offering, the global smart agriculture market classified into (Hardware (GPS, Drones, Sensors, RFID, LED Grow Lights), Software (Cloud Based, On-premises, and AI-as-a-Service) and Service. The hardware will witness remarkable growth in the forecast period. It is primarily attributed to the growing demand for automation and control systems, such as GPS/GNSS receivers, irrigation controllers, and guidance and steering systems to farming practices. Hardware includes GPS, Drones, Sensors, RFID, LED Grow Lights, etc. The software will grow with a lucrative CAGR in the estimated period due to the surge in demand for run sensors, smartphones, cameras, and UAVs on a software-based app.Agriculture Type Segmental Analysis
Based on the agriculture type, the global smart agriculture market segregated into precision farming, livestock monitoring, precision aquaculture, smart greenhouse, precision forestry, and others. The precision farming segment captured the largest share in 2021 and projected to dominate the global smart agriculture market by 2030. It is due to the growing focus on increasing focus on farm efficiency and productivity. Additionally, precision farming technologies such as guidance technology, remote sensing, smart sensors, drones, and variable rate technology, help to manage the soil and crop effectively. The livestock monitoring will grow at a significant rate in the forecast period because it provides real-time monitoring of the health, production, and welfare of livestock to ensure optimal yields.Application Segmental Analysis
Based on the application, the global smart agriculture market is segmented into precision farming applications, livestock monitoring applications, and smart greenhouse applications. The precision farming application is estimated to lead the market by 2030. The precision farming application includes irrigation management, yield monitoring, crop scouting, field mapping, weather tracking & forecasting, inventory management, and farm labor management. The growth of the segment is due to the yield monitoring plays a vital role in understanding the changeability and help farmers in maximizing their yields and provides farmers the information about weather conditions, soil properties, and fertilizers, which may affect the overall grain production. The livestock monitoring application will grow at a substantial rate during the forecast period because it helps farmers track and manage an animal’s status and well-being.Region Segmental Analysis
Based on geography, the global smart agriculture market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America accounted for the largest share in the global smart agriculture market in 2021. It is due to the early adopters of precision farming technologies, speedily increasing population, easy availability of arable farms, and strong support from the government in this region. The Asia Pacific occupied a prominent share of the smart agriculture market and projected to remain dominant by 2030. It is due to increasing government support and growing awareness among cultivators about the applications of smart agriculture.Competitor Analysis
Companies such as Deere & Company, Trimble, Inc., Topcon Positioning Systems, DeLaval, Heliospectra, Antelliq, Afimilk Ltd., AKVA group, InnovaSea Systems, LumiGrow, AG Leader Technology, Raven Industries, AgJunction, The Climate Corporation, Nedap NV, BouMatic, Fancom BV, Aquabyte, Steinsvik, VEMCO, Nexus Corporation, and Certhon are the key players in the global smart agriculture market.Key Stakeholders
- Market research and consulting firms
- Industry associations
- Global Smart Agriculture manufacturing firm & service providers
- Research organizations and consulting companies
- Organizations, associations, and alliances related to smart agriculture
- Regulatory bodies
- Suppliers
- Retailers
Recent Developments
- In January 2023, ASI Logistics, in partnership with SICK, Inc., declared the successful implementation of autonomous yard truck operations. In this collaboration, ASI Logistics leveraged its groundbreaking Vehicle Automation Kit (VAK) along with the industry-leading LiDAR systems of SICK.
- In March 2022, Raven declared its business expansion in South Dakota and Arizona to enhance the development of AI-driven technologies for tailoring cutting-edge solutions. The strategy was also desired at allowing access to a nearby test farm for same-day testing.
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 Offering- Hardware
- Software
- Service
- Precision Farming
- Livestock Monitoring
- Precision Aquaculture
- Smart Greenhouse
- Precision Forestry
- Others
- Precision Farming Application
- Irrigation Management
- Yield Monitoring
- Crop Scouting
- Field Mapping
- Weather Tracking & Forecasting
- Inventory Management
- Others
- Livestock Monitoring Application
- Harvesting
- Breeding Management
- Feeding Management
- Animal Comfort Management
- Smart Greenhouse Application
- Water & fertilizer management
- HVAC management
- yield monitoring
- Others
- North America
- Europe
- Asia Pacific
- South America
- Middle East & Africa
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Report Content
- Research Strategic Development
1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation
- Research Methodology
2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation
- Executive Summary
- Market Insights
4.1. Supply Chain Analysis
4.2. Economic Factor Analysis
4.2.1. Drivers
4.2.2. Trends
4.2.3. Opportunities
4.2.4. Challenges
4.3. Technological Landscape
4.4. Competitors & Product Analysis
4.5. Regulatory Framework
4.6. Company market share analysis, 2022
4.7. Porter’s Five Forces Analysis
4.8. Price point analysis
4.9. New Investment Analysis
4.10.PESTEL Analysis
4.11.Pre Covid-19 Impact
4.12.Covid-19 Impact
4.13.Post Covid-19 Impact
- Global Smart Agriculture Market, 2017-2030
5.1. Market size & Forecast, 2017-2030
5.1.1. Demand
5.1.1.1. By Value (USD Billion)
5.2. Market Share & Forecast, 2017-2030
5.2.1. By offering
5.2.1.1. Hardware
5.2.1.2. Software
5.2.1.3. Service
5.2.2. By Agriculture Type
5.2.2.1. Precision Farming
5.2.2.2. Livestock Monitoring
5.2.2.3. Precision Aquaculture
5.2.2.4. Smart Greenhouse
5.2.2.5. Precision Forestry
5.2.2.6. Others
5.2.3. By Application
5.2.3.1. Precision Farming Application
5.2.3.1.1. Irrigation Management
5.2.3.1.2. Yield Monitoring
5.2.3.1.3. Crop Scouting
5.2.3.1.4. Field Mapping
5.2.3.1.5. Weather Tracking & Forecasting
5.2.3.1.6. Inventory Management
5.2.3.1.7. Others
5.2.3.2. Livestock Monitoring Application
5.2.3.2.1. Harvesting
5.2.3.2.2. Breeding Management
5.2.3.2.3. Feeding Management
5.2.3.2.4. Animal Comfort Management
5.2.3.3. Smart Greenhouse Application
5.2.3.3.1. Water & fertilizer management
5.2.3.3.2. HVAC management
5.2.3.3.3. Yield monitoring
5.2.3.3.4. Others
5.2.4. By Region
5.2.4.1. North America
5.2.4.2. Europe
5.2.4.3. Asia Pacific
5.2.4.4. The Middle East & Africa
5.2.4.5. South America
- North America Smart Agriculture Market, 2017-2030
6.1. North America Smart Agriculture Market size & Forecast, 2017-2030
6.1.1. Demand
6.1.1.1. By Value (USD Billion)
6.2. North America Smart Agriculture Market Share & Forecast, 2017-2030
6.2.1. By offering
6.2.1.1. Hardware
6.2.1.2. Software
6.2.1.3. Service
6.2.2. By Agriculture Type
6.2.2.1. Precision Farming
6.2.2.2. Livestock Monitoring
6.2.2.3. Precision Aquaculture
6.2.2.4. Smart Greenhouse
6.2.2.5. Precision Forestry
6.2.2.6. Others
6.2.3. By Application
6.2.3.1. Precision Farming Application
6.2.3.1.1. Irrigation Management
6.2.3.1.2. Yield Monitoring
6.2.3.1.3. Crop Scouting
6.2.3.1.4. Field Mapping
6.2.3.1.5. Weather Tracking & Forecasting
6.2.3.1.6. Inventory Management
6.2.3.1.7. Others
6.2.3.2. Livestock Monitoring Application
6.2.3.2.1. Harvesting
6.2.3.2.2. Breeding Management
6.2.3.2.3. Feeding Management
6.2.3.2.4. Animal Comfort Management
6.2.3.3. Smart Greenhouse Application
6.2.3.3.1. Water & fertilizer management
6.2.3.3.2. HVAC management
6.2.3.3.3. Yield monitoring
6.2.3.3.4. Others
6.2.4. By Country
6.2.4.1. US
6.2.4.2. Canada
6.2.4.3. Mexico
- Europe Smart Agriculture Market, 2017-2030
7.1. Europe Smart Agriculture Market size & Forecast, 2017-2030
7.1.1. Demand
7.1.1.1. By Value (USD Billion)
7.2. Europe Smart Agriculture Market Share & Forecast, 2017-2030
7.2.1. By offering
7.2.1.1. Hardware
7.2.1.2. Software
7.2.1.3. Service
7.2.2. By Agriculture Type
7.2.2.1. Precision Farming
7.2.2.2. Livestock Monitoring
7.2.2.3. Precision Aquaculture
7.2.2.4. Smart Greenhouse
7.2.2.5. Precision Forestry
7.2.2.6. Others
7.2.3. By Application
7.2.3.1. Precision Farming Application
7.2.3.1.1. Irrigation Management
7.2.3.1.2. Yield Monitoring
7.2.3.1.3. Crop Scouting
7.2.3.1.4. Field Mapping
7.2.3.1.5. Weather Tracking & Forecasting
7.2.3.1.6. Inventory Management
7.2.3.1.7. Others
7.2.3.2. Livestock Monitoring Application
7.2.3.2.1. Harvesting
7.2.3.2.2. Breeding Management
7.2.3.2.3. Feeding Management
7.2.3.2.4. Animal Comfort Management
7.2.3.3. Smart Greenhouse Application
7.2.3.3.1. Water & fertilizer management
7.2.3.3.2. HVAC management
7.2.3.3.3. Yield monitoring
7.2.3.3.4. Others
7.2.4. By Country
7.2.4.1. Germany
7.2.4.2. UK
7.2.4.3. France
7.2.4.4. Italy
7.2.4.5. Rest of Europe
- Asia Pacific Smart Agriculture Market, 2017-2030
8.1. Asia Pacific Smart Agriculture Market size & Forecast, 2017-2030
8.1.1. Demand
8.1.1.1. By Value (USD Billion)
8.2. Asia Pacific Smart Agriculture Market Share & Forecast, 2017-2030
8.2.1. By offering
8.2.1.1. Hardware
8.2.1.2. Software
8.2.1.3. Service
8.2.2. By Agriculture Type
8.2.2.1. Precision Farming
8.2.2.2. Livestock Monitoring
8.2.2.3. Precision Aquaculture
8.2.2.4. Smart Greenhouse
8.2.2.5. Precision Forestry
8.2.2.6. Others
8.2.3. By Application
8.2.3.1. Precision Farming Application
8.2.3.1.1. Irrigation Management
8.2.3.1.2. Yield Monitoring
8.2.3.1.3. Crop Scouting
8.2.3.1.4. Field Mapping
8.2.3.1.5. Weather Tracking & Forecasting
8.2.3.1.6. Inventory Management
8.2.3.1.7. Others
8.2.3.2. Livestock Monitoring Application
8.2.3.2.1. Harvesting
8.2.3.2.2. Breeding Management
8.2.3.2.3. Feeding Management
8.2.3.2.4. Animal Comfort Management
8.2.3.3. Smart Greenhouse Application
8.2.3.3.1. Water & fertilizer management
8.2.3.3.2. HVAC management
8.2.3.3.3. Yield monitoring
8.2.3.3.4. Others
8.2.4. By Country
8.2.4.1. China
8.2.4.2. India
8.2.4.3. Japan
8.2.4.4. Australia
8.2.4.5. Rest of Asia pacific
- The Middle East & Africa Smart Agriculture Market, 2017-2030
9.1. The Middle East & Africa Smart Agriculture Market size & Forecast, 2017-2030
9.1.1. Demand
9.1.1.1. By Value (USD Billion)
9.2. The Middle East & Africa Smart Agriculture Market Share & Forecast, 2017-2030
9.2.1. By offering
9.2.1.1. Hardware
9.2.1.2. Software
9.2.1.3. Service
9.2.2. By Agriculture Type
9.2.2.1. Precision Farming
9.2.2.2. Livestock Monitoring
9.2.2.3. Precision Aquaculture
9.2.2.4. Smart Greenhouse
9.2.2.5. Precision Forestry
9.2.2.6. Others
9.2.3. By Application
9.2.3.1. Precision Farming Application
9.2.3.1.1. Irrigation Management
9.2.3.1.2. Yield Monitoring
9.2.3.1.3. Crop Scouting
9.2.3.1.4. Field Mapping
9.2.3.1.5. Weather Tracking & Forecasting
9.2.3.1.6. Inventory Management
9.2.3.1.7. Others
9.2.3.2. Livestock Monitoring Application
9.2.3.2.1. Harvesting
9.2.3.2.2. Breeding Management
9.2.3.2.3. Feeding Management
9.2.3.2.4. Animal Comfort Management
9.2.3.3. Smart Greenhouse Application
9.2.3.3.1. Water & fertilizer management
9.2.3.3.2. HVAC management
9.2.3.3.3. Yield monitoring
9.2.3.3.4. Others
9.2.4. By Country
9.2.4.1. Saudi Arabia
9.2.4.2. UAE
9.2.4.3. South Africa
9.2.4.4. Rest of The Middle East & Africa
- South America Smart Agriculture Market, 2017-2030
10.1. South America Smart Agriculture Market size & Forecast, 2017-2030
10.1.1. Demand
10.1.1.1. By Value (USD Billion)
10.2. South America Smart Agriculture Market Share & Forecast, 2017-2030
10.2.1. By offering
10.2.1.1. Hardware
10.2.1.2. Software
10.2.1.3. Service
10.2.2. By Agriculture Type
10.2.2.1. Precision Farming
10.2.2.2. Livestock Monitoring
10.2.2.3. Precision Aquaculture
10.2.2.4. Smart Greenhouse
10.2.2.5. Precision Forestry
10.2.2.6. Others
10.2.3. By Application
10.2.3.1. Precision Farming Application
10.2.3.1.1. Irrigation Management
10.2.3.1.2. Yield Monitoring
10.2.3.1.3. Crop Scouting
10.2.3.1.4. Field Mapping
10.2.3.1.5. Weather Tracking & Forecasting
10.2.3.1.6. Inventory Management
10.2.3.1.7. Others
10.2.3.2. Livestock Monitoring Application
10.2.3.2.1. Harvesting
10.2.3.2.2. Breeding Management
10.2.3.2.3. Feeding Management
10.2.3.2.4. Animal Comfort Management
10.2.3.3. Smart Greenhouse Application
10.2.3.3.1. Water & fertilizer management
10.2.3.3.2. HVAC management
10.2.3.3.3. Yield monitoring
10.2.3.3.4. Others
10.2.4. By Country
10.2.4.1. Brazil
10.2.4.2. Argentina
10.2.4.3. Rest of South America
- Competitor Analysis
11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company profile
11.7.1. Deere & Company
11.7.2. Trimble, Inc.
11.7.3. Topcon Positioning Systems
11.7.4. DeLaval
11.7.5. Heliospectra
11.7.6. Antelliq
11.7.7. Afimilk Ltd.
11.7.8. AKVA group
11.7.9. InnovaSea Systems
11.7.10. LumiGrow
11.7.11. AG Leader Technology
11.7.12. Raven Industries
11.7.13. AgJunction
11.7.14. The Climate Corporation
11.7.15. Nedap NV
11.7.16. BouMatic
11.7.17. Fancom BV
11.7.18. Aquabyte
11.7.19. Other Prominent Players
Frequently Asked Question(FAQ)
Smart agriculture is combining the Internet of Things technology with traditional agriculture, using sensors and software to control agricultural production through mobile platforms or computer platforms, and making conventional agriculture smarter.
The Internet of Things, GPS, and favorable government initiatives are likely to increase market growth in the coming few years.
.
Companies such as Deere & Company, Trimble, Inc., Topcon Positioning Systems, DeLaval, Heliospectra, Antelliq, Afimilk Ltd., AKVA group, InnovaSea Systems, LumiGrow, AG Leader Technology, Raven Industries, AgJunction, The Climate Corporation, Nedap NV, BouMatic, Fancom BV, Aquabyte, Steinsvik, VEMCO, Nexus Corporation, and Certhon are the key players in the global smart agriculture market.
North America accounted for the largest share in the global smart agriculture market
The global smart agriculture market size is estimated to reach USD 54.6 billion by 2030, with a CAGR of over 12.95%, during the forecast period, 2022-2030 and it was valued at USD 25.62 billion in 2022.
