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Smart agriculture is a farming approach that leverages advanced technology to improve agricultural productivity, efficiency, and sustainability. It integrates IoT (Internet of Things) devices, sensors, drones, robotics, and data analytics to collect real-time data on crop health, soil conditions, weather patterns, and resource usage. This data-driven approach enables farmers to make informed decisions, optimize inputs like water, fertilizers, and pesticides, and improve crop yields while minimizing environmental impact. Globally, there is an increasing need for smart agriculture due to several pressing factors. Population growth, climate change, and the depletion of natural resources are putting pressure on traditional farming methods.This report comes with 10% free customization, enabling you to add data that meets your specific business needs.
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With more mouths to feed and shrinking arable land, agriculture must evolve to become more efficient and sustainable. Smart agriculture helps address these global challenges by maximizing crop productivity with fewer inputs. In water-scarce regions, for instance, precision irrigation systems can conserve water while still providing sufficient hydration for crops.
According to the research report, “Global Smart Agriculture Market Outlook, 2029”, the market is expected to cross USD 36.82 Billion market size by 2029, increasing from USD 18.51 Billion In 2023. The global market is forecasted to grow with 12.17% CAGR by 2024-29. The global growth of smart agriculture is being driven by the increasing demand for sustainable farming solutions, population growth, and the need for food security amidst climate change. As traditional farming methods struggle to meet the world's food production needs while minimizing environmental impact, smart agriculture offers a technology-driven alternative.
The adoption of precision farming techniques, IoT devices, sensors, drones, and data analytics tools is rapidly expanding as farmers seek to optimize resource use, such as water, fertilizers, and pesticides, while enhancing crop yields. This growth is further fueled by the rise of automation and AI in agriculture, which helps address labor shortages and boosts productivity. Government initiatives and investments in agricultural technologies, especially in regions facing severe environmental challenges like water scarcity, are accelerating the adoption of smart agriculture globally. Developed countries are leading in terms of technological integration, but developing nations are increasingly adopting smart farming practices to improve food production and ensure sustainability.
Precision farming is widely known as precision agriculture. Precision agriculture is a method of increasing average yields by using exact amounts of inputs in comparison to traditional gardening approaches. The smart greenhouse remote monitoring system primarily measures indoor CO2, humidity, temperature, light, soil moisture, soil pH, and air pressure. These elements have a direct impact on greenhouse plant growth. The sensor is an important part of the greenhouse's remote monitoring system. Each sensor continuously analyses a different environmental component at a different place and communicates the data to the monitoring system.
Precision livestock monitoring provides animals' location, temperature, blood pressure, and heart rate are monitored using a wearable collar or tag (RFID) with sensors, which wirelessly communicate the data to farmers' devices in near-real-time. Livestock monitoring improves livestock health and vitality with real-time monitoring in order to cure animals. According to a European Commission research, such networks would help farmers enhance animal output by more than 22%. Livestock monitoring and disease detection are two key elements driving this market's growth. Precision fish farming or Aquaculture is related to growing aquatic animals for the sake of beneficial products of aquaculture.
The market includes surface cameras, sonar, stereo video and acoustic telemetry. The physical components include evaluating water quality indicators including temperature, dissolved oxygen, pH, and hardness of water, which are the most significant factors for fish breeding. It also incorporates automatic feeding of the fish at set intervals to reduce food waste and water contamination.
The biggest factors for the precision forestry market are the growing modernization of forestry operations, increasing preference for forestry products, falling costs of advanced monitoring and surveillance technologies, and increased government support for the adoption of modern forestry techniques to combat illegal logging. It also improves wood product quality, reduces waste, increases profit, and maintains environmental quality. Though precision forestry is growing with the lowest CAGR among all of them it has a very huge potential market of around $4.4 billion in 2021. This market gives overall cost-saving and reduction in deforestation.
North America is the leader in the global smart agriculture market. The reason behind it is the USA and Canada is the major countries contributing pre-adoption of these technologies. On the other hand, Asia-Pacific is expected to grow with the highest CAGR in the forecast period. China and Japan’s government’s support towards automation and dairy farms is the major market driver.
According to FAO, countries like China, Indonesia, Peru, India, Russia and USA accounted for almost 50% of total global aqua-capture production. On the other side, Russia, Brazil, Canada, USA & China have the highest forest area. By offering type; the hardware segment has a huge market share compared to software and services. In future, the software and services market share will be increased due to subscription services and modern software techniques.
Adoption of IoT and AI by dairy farmers and livestock monitoring management; and substantial cost-saving associated with other agriculture-related industries. The growing population of cattle with increasing dairy farms, increasing adoption of livestock monitoring technology and increasing demand for food in developing countries create a strong demand for smart agriculture in the midst of COVID-19. Of course, due to lack of transportation, manpower, and other lockdown restrictions, the market growth was disturbed a bit.
COVID-19 Impact
The COVID-19 pandemic significantly impacted the global smart agriculture market. Supply chain disruptions, labor shortages, and economic uncertainty posed challenges to the industry. However, the pandemic also accelerated the adoption of smart agriculture technologies. The rising demand for food security, coupled with the need for remote monitoring and automation, drove the adoption of digital solutions. As a result, the market witnessed increased investments in sensors, drones, data analytics, and AI-powered systems, positioning smart agriculture as a crucial tool for sustainable and efficient farming.Considered in this report
- Geography: Global
- Historic Year: 2018
- Base year: 2023
- Estimated year: 2024
- Forecast year: 2029
Aspects covered in this report
- Global Smart Agriculture Market with its value and forecast along with its segments
- Region & country wise smart agriculture market analysis
- Application wise smart agriculture distribution
- Various drivers and challenges
- On-going trends and developments
- Top profiled companies
- Strategic recommendation
Regions covered in the report
- North America
- Europe
- Asia-Pacific
- South America
- Middle-East & Africa
Types of smart agriculture in the report
- Precision Agriculture
- Precision Fish Farming
- Smart Greenhouse Market
- Precision Livestock Monitoring Market
- Precision Forestry Market
By Offering Type in the report
- Hardware
- Software
- Services
The approach of the report
This report consists of a combined approach of primary as well as secondary research. Initially, secondary research was used to get an understanding of the market and listing out the companies that are present in the market. The secondary research consists of third-party sources such as press releases, annual report of companies, analysing the government generated reports and databases.After gathering the data from secondary sources primary research was conducted by making telephonic interviews with the leading players about how the market is functioning and then conducted trade calls with dealers and distributors of the market. Post this we have started doing primary calls to consumers by equally segmenting consumers in regional aspects, tier aspects, age group, and gender. Once we have primary data with us we have started verifying the details obtained from secondary sources.
Intended audience
This report can be useful to industry consultants, manufacturers, suppliers, associations & organizations related to agriculture industry, government bodies and other stakeholders to align their market-centric strategies. In addition to marketing & presentations, it will also increase competitive knowledge about the industry.This product will be delivered within 2 business days.
Table of Contents
1. Executive Summary5. Economic /Demographic Snapshot13. Strategic Recommendations15. Disclaimer
2. Market Dynamics
3. Research Methodology
4. Market Structure
6. Global Smart Agriculture Market Outlook
7. North America Smart Agriculture Market Outlook
8. Europe Smart Agriculture Market Outlook
9. Asia-Pacific Smart Agriculture Market Outlook
10. South America Smart Agriculture Market Outlook
11. Middle East & Africa Smart Agriculture Market Outlook
12. Competitive Landscape
14. Annexure
List of Figures
List of Tables
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- John Deere Ltd
- Raven Industries, Inc.
- Merck & Co., Inc.
- Ag Junction Inc.
- Trimble Inc.
- Topcon Positioning Systems Inc.
- AGCO Corporation
- AG Leader Technology
- Afimilk Limited
- InnovaSea Systems, Inc.
- Abaco Systems, Inc.
- GEA Group Aktiengesellschaft (Gea CowScout)
- Grownetics, Inc.
- Heliospectra AB
- Nedap N.V. Inc
- Gamaya SA
- Ceres Imaging, Inc
- AKVA group
- CropX Technologies