Global Smart Farms Market Synopsis
The Global Smart Farms Market size was valued at USD 16200 Million in 2023 and is projected to reach USD 30399 Million by 2030, growing at a CAGR of 9.40% from 2023 to 2030.
Global smart farms refer to advanced farming practices that utilize modern technologies, such as the Internet of Things (IoT), sensors, drones, big data analytics, and other emerging technologies to optimize crop production, improve resource management, and reduce waste.
- Smart farms, also known as precision agriculture or digital farming, integrate various technologies and solutions to monitor environmental conditions, track plant growth and livestock, automate irrigation and fertilization processes, and analyze data in real-time to improve yields and reduce costs and enhance sustainability.
- The primary goal of smart farms is to enable farmers and agriculture companies to make data-driven decisions and optimize their operations while reducing the impact of farming on the environment. Smart farms also help address the challenges of food security and sustainability by enabling farmers to produce more food using fewer resources.
- The adoption of smart farming practices is gaining traction globally due to the increasing demand for food, the need for more efficient use of resources in agriculture, and advancements in technology. Smart farming has the potential to revolutionize agriculture and help feed the world's growing population sustainably.
- The market is expected to continue to grow in the Forecast Period Is 2023-2032, as more farmers and agriculture companies adopt these technologies to improve their operations and increase productivity.

Source: Statista
In the above graph, the total global market size for agriculture technology-as-a-service stood at about 1.1 billion U.S. dollars in 2020.
Top Key Players Involved Are:
"AeroFarms (US), Freight Farms (US), LumiGrow (US), Osram (Germany), Philips Lighting (Netherlands), Signify (Netherlands), Ag Leader Technology (US), AGCO (US), Deere & Company (US), Precision Planting (US), Raven Industries (US), Sentera (US), TeeJet Technologies (US), Topcon Positioning Systems (US), Trimble Navigation (US), Aerotech (US), AG Junction (US), AutoCopter Corp. (US), BouMatic Robotics (US), Fullwood Packo (UK) and Other Major Players."

The Global Smart Farms Market Trend Analysis
The Rising World Population Has Led to An Increasingly Global Food Demand
- The Global Smart Farms Market is the increasing global demand for food due to the growing population. With limited arable land, and water resources, and the challenges of climate change, traditional farming methods may not be sufficient to meet this demand. Therefore, there is a need to adopt innovative and sustainable farming practices, such as smart farming, to increase productivity, reduce waste, and improve resource management.
- Smart farming solutions leverage advanced technologies such as sensors, drones, and big data analytics to collect and analyze data in real time, providing farmers with insights into the health and growth of crops and livestock, soil quality, and weather patterns. This data helps farmers make data-driven decisions, optimize their operations, and reduce costs. For example, sensors can measure soil, moisture, temperature, and nutrient levels, helping farmers manage irrigation and fertilization more efficiently, and reducing water and fertilizer usage and costs.
- Smart farming practices also enable farmers to improve the quality and safety of their produce by monitoring conditions during transportation, storage, and distribution. This is becoming increasingly important as consumers demand more transparency and accountability in the food supply chain.
- In conclusion, the increasing global demand for food is a significant driving factor of the Global Smart Farms Market, and smart farming practices offer a sustainable and efficient solution to meet this demand while reducing the environmental impact of agriculture.
Adoption Of Precision Agriculture Technologies
The adoption of precision farming technologies is a key opportunity for the growth of the global smart farms market. Precision farming involves using data-driven insights to optimize farming practices such as planting, irrigation, fertilization, and harvesting. By leveraging smart farming technologies such as sensors, drones, and analytics software, farmers can make informed decisions about their operations and improve the efficiency and productivity of their farms.
- Precision farming technologies can help farmers optimize their operations, leading to increased efficiency and productivity. This can lead to significant cost savings and increased profitability for farmers.
- Precision farming technologies can help farmers adopt more sustainable practices, such as reducing water and chemical usage, improving soil health, and reducing greenhouse gas emissions. This can help address global food security challenges while also reducing the environmental impact of farming.
- Precision farming generates vast amounts of data that can be used to make informed decisions and optimize operations. Companies can develop innovative solutions and services using this data, such as predictive analytics and farm management software.
- Using data-driven insights, precision farming enables farmers to optimize planting, irrigation, fertilization, and harvesting. This can help improve crop yields and quality, reduce waste, and increase profitability.
- Precision farming technologies such as blockchain and IoT sensors can help improve food safety and traceability by enabling real-time monitoring and tracking of food production, processing, and distribution.
Segmentation Analysis Of The Global Smart Farms Market
Global Smart Farms Market segments cover the Agriculture Type, Offering, service, Solution, and Application. By Agriculture Type, the Precision Farming segment is Anticipated to Dominate the Market Over the Forecast period.
- With the world's population continuing to grow, the demand for food is also increasing. Precision farming technologies can help farmers produce more food with fewer resources, making it a critical segment of the smart farms market.
- The precision farming segment is witnessing significant technological advancements, including the development of advanced sensors, drones, and farm management software. These innovations are helping farmers improve their operations and increase their yields.
- The use of precision farming technologies is also increasing due to the growing awareness of the need for sustainable farming practices. By using data-driven insights to optimize their operations, farmers can reduce their environmental impact and improve their sustainability.
- Many governments are providing support and funding for the adoption of precision farming technologies. This is helping to accelerate the growth of the precision farming segment in the smart farms market.
- Overall, the precision farming segment dominates the global smart farms market due to the growing demand for food, technological advancements, increased awareness of sustainability, and government support.
Regional Analysis of The Global Smart Farms Market
North America is Expected to Dominate the Market Over the Forecast Period.
- The Global Smart Farms Market is experiencing significant growth in North America. The region is one of the largest adopters of technology-driven agriculture and has been an early adopter of smart farming practices. The key drivers behind the growth of the smart farms market in North America are as follows:
- North America is one of the most technologically advanced regions in the world, and the agriculture sector is no exception. With the adoption of precision farming techniques, advanced analytics, and IoT-based solutions, farmers are able to monitor crop health, irrigation, and weather conditions in real time, thereby reducing crop losses and improving productivity.
- Governments in North America have been promoting the adoption of smart farming practices to increase agricultural production, reduce waste, and ensure food security. For example, the US Department of Agriculture (USDA) has launched several programs such as the Precision Agriculture Initiative and the National Institute of Food and Agriculture to support research and development in precision agriculture.
- With an increasing focus on sustainability and environmental protection, there is a growing demand for sustainable agriculture practices. Smart farming practices, such as precision agriculture, help reduce the use of pesticides and fertilizers, thereby reducing the environmental impact of farming.
- North America has been witnessing a growing trend of vertical farming, which involves growing crops in vertically stacked layers using controlled environment agriculture (CEA) technology. This trend has been driving the adoption of smart farming solutions, such as LED lighting, to optimize plant growth and improve yields.
- Overall, the smart farms market in North America is expected to continue growing due to these drivers and will be an important contributor to the growth of the global smart farms market in the coming years.
Covid-19 Impact Analysis On Global Smart Farms Market
The COVID-19 pandemic has had both positive and negative impacts on the Global Smart Farms Market.
Positive impacts:
- The pandemic led to disruptions in the global food supply chain, prompting consumers to look for locally-grown produce. Smart farming practices, such as vertical farming and hydroponics, have allowed for year-round production of fresh produce in controlled environments, which has led to increased demand for smart farm products.
- The pandemic highlighted the need for more resilient and efficient food supply chains, which has led to the accelerated adoption of smart farming technologies. The use of automation, remote monitoring, and data analytics in agriculture has increased to minimize the need for human labor and improve supply chain resilience.
Negative impacts:
- The pandemic led to disruptions in the supply chains of agricultural inputs such as seeds, fertilizers, and equipment. This affected the implementation of smart farming practices, leading to delays in the adoption of new technologies.
- The economic downturn caused by the pandemic has led to reduced investment in agriculture, including smart farming. This has slowed down the growth of the smart farms market, as some farmers have delayed or canceled investments in new technology.
- Overall, while the pandemic has caused some disruptions in the smart farms market, it has also created new opportunities for growth. The increased focus on local food production and supply chain resilience has led to greater demand for smart farming solutions, which is expected to continue in the post-pandemic world.
Top Key Players Covered in The Global Smart Farms Market
- AeroFarms (US)
- Freight Farms (US)
- LumiGrow (US)
- Osram (Germany)
- Philips Lighting (Netherlands)
- Signify (Netherlands)
- Ag Leader Technology (US)
- AGCO (US)
- Deere & Company (US)
- Precision Planting (US)
- Raven Industries (US)
- Sentera (US)
- TeeJet Technologies (US)
- Topcon Positioning Systems (US)
- Trimble Navigation (US)
- Aerotech (US)
- AG Junction (US)
- AutoCopter Corp. (US)
- BouMatic Robotics (US)
- Fullwood Packo (UK), and Major Key Players.
Key Industry Developments in the Global Smart Farms Market
In January 2021, AeroFarms announced a partnership with Hortifrut, a leading berry producer, to develop vertical farming solutions for berries.
In April 2021, AGCO announced a new partnership with Solinftec, a Brazilian agtech company, to expand its precision farming capabilities. The partnership aims to integrate Solinftec's digital agriculture platform with AGCO's equipment to provide farmers with more precise insights into their operations.
Global Smart Farms Market
|
Base Year:
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2022
|
Forecast Period:
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2022-2030
|
Historical Data:
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2016 to 2022
|
Market Size in 2023:
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USD 16200 Mn.
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Forecast Period 2022-30 CAGR:
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9.40%
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Market Size in 2030:
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USD 30399 Mn.
|
Segments Covered:
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By Agriculture Type
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- Precision Farming
- Livestock Monitoring
- Fish Farming
- Smart Greenhouse
- Others
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By Offering
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- Hardware
- Software
- Services
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By Services
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- System Integration and Consulting
- Support and Maintenance
- Connectivity Services
- Managed Services
- Professional Services
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By Solution
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- Network Management
- Agriculture Asset Management
- Supervisory Control
- and Data Acquisition
- Logistics and Supply Chain Management
- Smart Water Management
- Others
|
By Application
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- Irrigation Management
- Yield Monitoring
- Crop Scouting
- Field Mapping
- Weather Tracking And Forecasting
- Inventory Management
- and Farm Labour Management
- Others
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By Region
|
- North America (U.S., Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
|
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Agriculture Type
3.2 By Offering
3.3 By Services
3.4 By Solution
3.5 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Smart Farms Market by Agriculture Type
5.1 Smart Farms Market Overview Snapshot and Growth Engine
5.2 Smart Farms Market Overview
5.3 Precision Farming
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2030F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Precision Farming: Geographic Segmentation
5.4 Livestock Monitoring
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2030F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 Livestock Monitoring: Geographic Segmentation
5.5 Fish Farming
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2016-2030F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 Fish Farming: Geographic Segmentation
5.6 Smart Greenhouse
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2016-2030F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 Smart Greenhouse: Geographic Segmentation
5.7 Others
5.7.1 Introduction and Market Overview
5.7.2 Historic and Forecasted Market Size (2016-2030F)
5.7.3 Key Market Trends, Growth Factors and Opportunities
5.7.4 Others: Geographic Segmentation
Chapter 6: Smart Farms Market by Offering
6.1 Smart Farms Market Overview Snapshot and Growth Engine
6.2 Smart Farms Market Overview
6.3 Hardware
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2030F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Hardware: Geographic Segmentation
6.4 Software
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2030F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Software: Geographic Segmentation
6.5 Services
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2030F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Services: Geographic Segmentation
Chapter 7: Smart Farms Market by Services
7.1 Smart Farms Market Overview Snapshot and Growth Engine
7.2 Smart Farms Market Overview
7.3 System Integration and Consulting
7.3.1 Introduction and Market Overview
7.3.2 Historic and Forecasted Market Size (2016-2030F)
7.3.3 Key Market Trends, Growth Factors and Opportunities
7.3.4 System Integration and Consulting: Geographic Segmentation
7.4 Support and Maintenance
7.4.1 Introduction and Market Overview
7.4.2 Historic and Forecasted Market Size (2016-2030F)
7.4.3 Key Market Trends, Growth Factors and Opportunities
7.4.4 Support and Maintenance: Geographic Segmentation
7.5 Connectivity Services
7.5.1 Introduction and Market Overview
7.5.2 Historic and Forecasted Market Size (2016-2030F)
7.5.3 Key Market Trends, Growth Factors and Opportunities
7.5.4 Connectivity Services: Geographic Segmentation
7.6 Managed Services
7.6.1 Introduction and Market Overview
7.6.2 Historic and Forecasted Market Size (2016-2030F)
7.6.3 Key Market Trends, Growth Factors and Opportunities
7.6.4 Managed Services: Geographic Segmentation
7.7 Professional Services
7.7.1 Introduction and Market Overview
7.7.2 Historic and Forecasted Market Size (2016-2030F)
7.7.3 Key Market Trends, Growth Factors and Opportunities
7.7.4 Professional Services: Geographic Segmentation
Chapter 8: Smart Farms Market by Solution
8.1 Smart Farms Market Overview Snapshot and Growth Engine
8.2 Smart Farms Market Overview
8.3 Network Management
8.3.1 Introduction and Market Overview
8.3.2 Historic and Forecasted Market Size (2016-2030F)
8.3.3 Key Market Trends, Growth Factors and Opportunities
8.3.4 Network Management: Geographic Segmentation
8.4 Agriculture Asset Management
8.4.1 Introduction and Market Overview
8.4.2 Historic and Forecasted Market Size (2016-2030F)
8.4.3 Key Market Trends, Growth Factors and Opportunities
8.4.4 Agriculture Asset Management: Geographic Segmentation
8.5 Supervisory Control
8.5.1 Introduction and Market Overview
8.5.2 Historic and Forecasted Market Size (2016-2030F)
8.5.3 Key Market Trends, Growth Factors and Opportunities
8.5.4 Supervisory Control: Geographic Segmentation
8.6 Data Acquisition
8.6.1 Introduction and Market Overview
8.6.2 Historic and Forecasted Market Size (2016-2030F)
8.6.3 Key Market Trends, Growth Factors and Opportunities
8.6.4 Data Acquisition: Geographic Segmentation
8.7 Logistics and Supply Chain Management
8.7.1 Introduction and Market Overview
8.7.2 Historic and Forecasted Market Size (2016-2030F)
8.7.3 Key Market Trends, Growth Factors and Opportunities
8.7.4 Logistics and Supply Chain Management: Geographic Segmentation
8.8 Smart Water Management
8.8.1 Introduction and Market Overview
8.8.2 Historic and Forecasted Market Size (2016-2030F)
8.8.3 Key Market Trends, Growth Factors and Opportunities
8.8.4 Smart Water Management: Geographic Segmentation
8.9 Others
8.9.1 Introduction and Market Overview
8.9.2 Historic and Forecasted Market Size (2016-2030F)
8.9.3 Key Market Trends, Growth Factors and Opportunities
8.9.4 Others: Geographic Segmentation
Chapter 9: Smart Farms Market by Application
9.1 Smart Farms Market Overview Snapshot and Growth Engine
9.2 Smart Farms Market Overview
9.3 Irrigation Management
9.3.1 Introduction and Market Overview
9.3.2 Historic and Forecasted Market Size (2016-2030F)
9.3.3 Key Market Trends, Growth Factors and Opportunities
9.3.4 Irrigation Management: Geographic Segmentation
9.4 Yield Monitoring
9.4.1 Introduction and Market Overview
9.4.2 Historic and Forecasted Market Size (2016-2030F)
9.4.3 Key Market Trends, Growth Factors and Opportunities
9.4.4 Yield Monitoring: Geographic Segmentation
9.5 Crop Scouting
9.5.1 Introduction and Market Overview
9.5.2 Historic and Forecasted Market Size (2016-2030F)
9.5.3 Key Market Trends, Growth Factors and Opportunities
9.5.4 Crop Scouting: Geographic Segmentation
9.6 Field Mapping
9.6.1 Introduction and Market Overview
9.6.2 Historic and Forecasted Market Size (2016-2030F)
9.6.3 Key Market Trends, Growth Factors and Opportunities
9.6.4 Field Mapping: Geographic Segmentation
9.7 Weather Tracking And Forecasting
9.7.1 Introduction and Market Overview
9.7.2 Historic and Forecasted Market Size (2016-2030F)
9.7.3 Key Market Trends, Growth Factors and Opportunities
9.7.4 Weather Tracking And Forecasting: Geographic Segmentation
9.8 Inventory Management
9.8.1 Introduction and Market Overview
9.8.2 Historic and Forecasted Market Size (2016-2030F)
9.8.3 Key Market Trends, Growth Factors and Opportunities
9.8.4 Inventory Management: Geographic Segmentation
9.9 Farm Labour Management
9.9.1 Introduction and Market Overview
9.9.2 Historic and Forecasted Market Size (2016-2030F)
9.9.3 Key Market Trends, Growth Factors and Opportunities
9.9.4 Farm Labour Management: Geographic Segmentation
9.10 Others
9.10.1 Introduction and Market Overview
9.10.2 Historic and Forecasted Market Size (2016-2030F)
9.10.3 Key Market Trends, Growth Factors and Opportunities
9.10.4 Others: Geographic Segmentation
Chapter 10: Company Profiles and Competitive Analysis
10.1 Competitive Landscape
10.1.1 Competitive Positioning
10.1.2 Smart Farms Sales and Market Share By Players
10.1.3 Industry BCG Matrix
10.1.4 Heat Map Analysis
10.1.5 Smart Farms Industry Concentration Ratio (CR5 and HHI)
10.1.6 Top 5 Smart Farms Players Market Share
10.1.7 Mergers and Acquisitions
10.1.8 Business Strategies By Top Players
10.2 AEROFARMS (US)
10.2.1 Company Overview
10.2.2 Key Executives
10.2.3 Company Snapshot
10.2.4 Operating Business Segments
10.2.5 Product Portfolio
10.2.6 Business Performance
10.2.7 Key Strategic Moves and Recent Developments
10.2.8 SWOT Analysis
10.3 FREIGHT FARMS (US)
10.4 LUMIGROW (US)
10.5 OSRAM (GERMANY)
10.6 PHILIPS LIGHTING (NETHERLANDS)
10.7 SIGNIFY (NETHERLANDS)
10.8 AG LEADER TECHNOLOGY (US)
10.9 AGCO (US)
10.10 DEERE & COMPANY (US)
10.11 PRECISION PLANTING (US)
10.12 RAVEN INDUSTRIES (US)
10.13 SENTERA (US)
10.14 TEEJET TECHNOLOGIES (US)
10.15 TOPCON POSITIONING SYSTEMS (US)
10.16 TRIMBLE NAVIGATION (US)
10.17 AEROTECH (US)
10.18 AG JUNCTION (US)
10.19 AUTOCOPTER CORP. (US)
10.20 BOUMATIC ROBOTICS (US)
10.21 FULLWOOD PACKO (UK)
10.22 OTHER MAJOR PLAYER
Chapter 11: Global Smart Farms Market Analysis, Insights and Forecast, 2016-2030
11.1 Market Overview
11.2 Historic and Forecasted Market Size By Agriculture Type
11.2.1 Precision Farming
11.2.2 Livestock Monitoring
11.2.3 Fish Farming
11.2.4 Smart Greenhouse
11.2.5 Others
11.3 Historic and Forecasted Market Size By Offering
11.3.1 Hardware
11.3.2 Software
11.3.3 Services
11.4 Historic and Forecasted Market Size By Services
11.4.1 System Integration and Consulting
11.4.2 Support and Maintenance
11.4.3 Connectivity Services
11.4.4 Managed Services
11.4.5 Professional Services
11.5 Historic and Forecasted Market Size By Solution
11.5.1 Network Management
11.5.2 Agriculture Asset Management
11.5.3 Supervisory Control
11.5.4 Data Acquisition
11.5.5 Logistics and Supply Chain Management
11.5.6 Smart Water Management
11.5.7 Others
11.6 Historic and Forecasted Market Size By Application
11.6.1 Irrigation Management
11.6.2 Yield Monitoring
11.6.3 Crop Scouting
11.6.4 Field Mapping
11.6.5 Weather Tracking And Forecasting
11.6.6 Inventory Management
11.6.7 Farm Labour Management
11.6.8 Others
Chapter 12: North America Smart Farms Market Analysis, Insights and Forecast, 2016-2030
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Agriculture Type
12.4.1 Precision Farming
12.4.2 Livestock Monitoring
12.4.3 Fish Farming
12.4.4 Smart Greenhouse
12.4.5 Others
12.5 Historic and Forecasted Market Size By Offering
12.5.1 Hardware
12.5.2 Software
12.5.3 Services
12.6 Historic and Forecasted Market Size By Services
12.6.1 System Integration and Consulting
12.6.2 Support and Maintenance
12.6.3 Connectivity Services
12.6.4 Managed Services
12.6.5 Professional Services
12.7 Historic and Forecasted Market Size By Solution
12.7.1 Network Management
12.7.2 Agriculture Asset Management
12.7.3 Supervisory Control
12.7.4 Data Acquisition
12.7.5 Logistics and Supply Chain Management
12.7.6 Smart Water Management
12.7.7 Others
12.8 Historic and Forecasted Market Size By Application
12.8.1 Irrigation Management
12.8.2 Yield Monitoring
12.8.3 Crop Scouting
12.8.4 Field Mapping
12.8.5 Weather Tracking And Forecasting
12.8.6 Inventory Management
12.8.7 Farm Labour Management
12.8.8 Others
12.9 Historic and Forecast Market Size by Country
12.9.1 US
12.9.2 Canada
12.9.3 Mexico
Chapter 13: Eastern Europe Smart Farms Market Analysis, Insights and Forecast, 2016-2030
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Agriculture Type
13.4.1 Precision Farming
13.4.2 Livestock Monitoring
13.4.3 Fish Farming
13.4.4 Smart Greenhouse
13.4.5 Others
13.5 Historic and Forecasted Market Size By Offering
13.5.1 Hardware
13.5.2 Software
13.5.3 Services
13.6 Historic and Forecasted Market Size By Services
13.6.1 System Integration and Consulting
13.6.2 Support and Maintenance
13.6.3 Connectivity Services
13.6.4 Managed Services
13.6.5 Professional Services
13.7 Historic and Forecasted Market Size By Solution
13.7.1 Network Management
13.7.2 Agriculture Asset Management
13.7.3 Supervisory Control
13.7.4 Data Acquisition
13.7.5 Logistics and Supply Chain Management
13.7.6 Smart Water Management
13.7.7 Others
13.8 Historic and Forecasted Market Size By Application
13.8.1 Irrigation Management
13.8.2 Yield Monitoring
13.8.3 Crop Scouting
13.8.4 Field Mapping
13.8.5 Weather Tracking And Forecasting
13.8.6 Inventory Management
13.8.7 Farm Labour Management
13.8.8 Others
13.9 Historic and Forecast Market Size by Country
13.9.1 Bulgaria
13.9.2 The Czech Republic
13.9.3 Hungary
13.9.4 Poland
13.9.5 Romania
13.9.6 Rest of Eastern Europe
Chapter 14: Western Europe Smart Farms Market Analysis, Insights and Forecast, 2016-2030
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Agriculture Type
14.4.1 Precision Farming
14.4.2 Livestock Monitoring
14.4.3 Fish Farming
14.4.4 Smart Greenhouse
14.4.5 Others
14.5 Historic and Forecasted Market Size By Offering
14.5.1 Hardware
14.5.2 Software
14.5.3 Services
14.6 Historic and Forecasted Market Size By Services
14.6.1 System Integration and Consulting
14.6.2 Support and Maintenance
14.6.3 Connectivity Services
14.6.4 Managed Services
14.6.5 Professional Services
14.7 Historic and Forecasted Market Size By Solution
14.7.1 Network Management
14.7.2 Agriculture Asset Management
14.7.3 Supervisory Control
14.7.4 Data Acquisition
14.7.5 Logistics and Supply Chain Management
14.7.6 Smart Water Management
14.7.7 Others
14.8 Historic and Forecasted Market Size By Application
14.8.1 Irrigation Management
14.8.2 Yield Monitoring
14.8.3 Crop Scouting
14.8.4 Field Mapping
14.8.5 Weather Tracking And Forecasting
14.8.6 Inventory Management
14.8.7 Farm Labour Management
14.8.8 Others
14.9 Historic and Forecast Market Size by Country
14.9.1 Germany
14.9.2 UK
14.9.3 France
14.9.4 Netherlands
14.9.5 Italy
14.9.6 Russia
14.9.7 Spain
14.9.8 Rest of Western Europe
Chapter 15: Asia Pacific Smart Farms Market Analysis, Insights and Forecast, 2016-2030
15.1 Key Market Trends, Growth Factors and Opportunities
15.2 Impact of Covid-19
15.3 Key Players
15.4 Key Market Trends, Growth Factors and Opportunities
15.4 Historic and Forecasted Market Size By Agriculture Type
15.4.1 Precision Farming
15.4.2 Livestock Monitoring
15.4.3 Fish Farming
15.4.4 Smart Greenhouse
15.4.5 Others
15.5 Historic and Forecasted Market Size By Offering
15.5.1 Hardware
15.5.2 Software
15.5.3 Services
15.6 Historic and Forecasted Market Size By Services
15.6.1 System Integration and Consulting
15.6.2 Support and Maintenance
15.6.3 Connectivity Services
15.6.4 Managed Services
15.6.5 Professional Services
15.7 Historic and Forecasted Market Size By Solution
15.7.1 Network Management
15.7.2 Agriculture Asset Management
15.7.3 Supervisory Control
15.7.4 Data Acquisition
15.7.5 Logistics and Supply Chain Management
15.7.6 Smart Water Management
15.7.7 Others
15.8 Historic and Forecasted Market Size By Application
15.8.1 Irrigation Management
15.8.2 Yield Monitoring
15.8.3 Crop Scouting
15.8.4 Field Mapping
15.8.5 Weather Tracking And Forecasting
15.8.6 Inventory Management
15.8.7 Farm Labour Management
15.8.8 Others
15.9 Historic and Forecast Market Size by Country
15.9.1 China
15.9.2 India
15.9.3 Japan
15.9.4 South Korea
15.9.5 Malaysia
15.9.6 Thailand
15.9.7 Vietnam
15.9.8 The Philippines
15.9.9 Australia
15.9.10 New Zealand
15.9.11 Rest of APAC
Chapter 16: Middle East & Africa Smart Farms Market Analysis, Insights and Forecast, 2016-2030
16.1 Key Market Trends, Growth Factors and Opportunities
16.2 Impact of Covid-19
16.3 Key Players
16.4 Key Market Trends, Growth Factors and Opportunities
16.4 Historic and Forecasted Market Size By Agriculture Type
16.4.1 Precision Farming
16.4.2 Livestock Monitoring
16.4.3 Fish Farming
16.4.4 Smart Greenhouse
16.4.5 Others
16.5 Historic and Forecasted Market Size By Offering
16.5.1 Hardware
16.5.2 Software
16.5.3 Services
16.6 Historic and Forecasted Market Size By Services
16.6.1 System Integration and Consulting
16.6.2 Support and Maintenance
16.6.3 Connectivity Services
16.6.4 Managed Services
16.6.5 Professional Services
16.7 Historic and Forecasted Market Size By Solution
16.7.1 Network Management
16.7.2 Agriculture Asset Management
16.7.3 Supervisory Control
16.7.4 Data Acquisition
16.7.5 Logistics and Supply Chain Management
16.7.6 Smart Water Management
16.7.7 Others
16.8 Historic and Forecasted Market Size By Application
16.8.1 Irrigation Management
16.8.2 Yield Monitoring
16.8.3 Crop Scouting
16.8.4 Field Mapping
16.8.5 Weather Tracking And Forecasting
16.8.6 Inventory Management
16.8.7 Farm Labour Management
16.8.8 Others
16.9 Historic and Forecast Market Size by Country
16.9.1 Turkey
16.9.2 Bahrain
16.9.3 Kuwait
16.9.4 Saudi Arabia
16.9.5 Qatar
16.9.6 UAE
16.9.7 Israel
16.9.8 South Africa
Chapter 17: South America Smart Farms Market Analysis, Insights and Forecast, 2016-2030
17.1 Key Market Trends, Growth Factors and Opportunities
17.2 Impact of Covid-19
17.3 Key Players
17.4 Key Market Trends, Growth Factors and Opportunities
17.4 Historic and Forecasted Market Size By Agriculture Type
17.4.1 Precision Farming
17.4.2 Livestock Monitoring
17.4.3 Fish Farming
17.4.4 Smart Greenhouse
17.4.5 Others
17.5 Historic and Forecasted Market Size By Offering
17.5.1 Hardware
17.5.2 Software
17.5.3 Services
17.6 Historic and Forecasted Market Size By Services
17.6.1 System Integration and Consulting
17.6.2 Support and Maintenance
17.6.3 Connectivity Services
17.6.4 Managed Services
17.6.5 Professional Services
17.7 Historic and Forecasted Market Size By Solution
17.7.1 Network Management
17.7.2 Agriculture Asset Management
17.7.3 Supervisory Control
17.7.4 Data Acquisition
17.7.5 Logistics and Supply Chain Management
17.7.6 Smart Water Management
17.7.7 Others
17.8 Historic and Forecasted Market Size By Application
17.8.1 Irrigation Management
17.8.2 Yield Monitoring
17.8.3 Crop Scouting
17.8.4 Field Mapping
17.8.5 Weather Tracking And Forecasting
17.8.6 Inventory Management
17.8.7 Farm Labour Management
17.8.8 Others
17.9 Historic and Forecast Market Size by Country
17.9.1 Brazil
17.9.2 Argentina
17.9.3 Rest of SA
Chapter 18 Investment Analysis
Chapter 19 Analyst Viewpoint and Conclusion