Smart Agriculture Market Poised for Growth with IoT and AI in Farming

By | March 21, 2025
Global Smart Agriculture Market

Smart Agriculture market growth is driven by rising smartphone adoption, along with increased use of IoT and AI technologies in farming during the 2026-2030 forecast period.

According to the TechSci Research report, Smart Agriculture Market – Global Industry Size, Share, Trends, Competition Forecast & Opportunities, 2030,” the Global Smart Agriculture Market was valued at USD 15.76 billion in 2023. The market is expected to grow at a CAGR of 8.65% from 2026 to 2030. Several key factors are driving this growth. The increasing global demand for food due to a rapidly growing population necessitates more efficient farming practices, which smart agriculture can provide. Additionally, advancements in technology such as IoT and AI have led to innovative smart farming solutions, ranging from precision agriculture to digital livestock monitoring.

Government initiatives promoting sustainable farming practices also play a significant role in the growth of this market. As awareness grows among farmers about the benefits of smart agriculture—such as increased crop yields and reduced farming costs—the adoption of smart farming solutions continues to rise.

The growing demand for higher crop yields to meet the needs of a rapidly expanding population is one of the major drivers of the smart agriculture market. With the increasing global population, efficient food production methods are more important than ever. The rapid adoption of IoT and AI technologies in farming has revolutionized the agricultural industry. These technologies allow farmers to collect and analyze vast amounts of data, enabling data-driven decisions that optimize resource utilization. IoT and AI empower farmers to monitor and control key operations such as irrigation, fertilization, and pest control with greater precision.

In addition to crop management, there is a growing focus on livestock monitoring and disease detection. Farmers are recognizing the importance of maintaining the health of their animals. By integrating IoT devices and AI algorithms, farmers can remotely monitor the vital signs and behavior of their livestock. This helps in the early detection of health issues and reduces the spread of diseases, minimizing losses.

The outlook for the smart agriculture market remains strong, with continued technological advancements expected to fuel further growth. Innovations in advanced sensors, precision agriculture tools, and autonomous farming equipment are set to further enhance the efficiency and sustainability of farming practices. Governments around the world are also increasing their support for smart agriculture through subsidies, grants, and regulatory frameworks to promote the adoption of these technologies.

As the market grows, the focus remains on increasing crop yield, integrating IoT and AI technologies, and improving livestock management. With continued advancements in technology and government support, the future of smart agriculture looks promising. This market holds immense potential for farmers and stakeholders in the agriculture sector, offering new opportunities for increased productivity and profitability.

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The Global Smart Agriculture Market is segmented by offering, application, regional distribution, and company.

In terms of offerings, software has emerged as the dominant force in the global smart agriculture market. Advanced software solutions enable farmers to enhance productivity, efficiency, and accuracy in their operations. These solutions offer real-time farm monitoring, weather forecasting, and data-driven crop management, helping farmers make informed decisions. As IoT and AI technologies evolve, the demand for sophisticated software platforms has surged. These platforms facilitate seamless data analytics, automation, and predictive modeling, helping farmers optimize resource allocation, mitigate risks, and drive sustainable farming practices.

In the North American region, the smart agriculture market is particularly strong. This is due to a significant number of tech-savvy farmers eager to adopt innovative solutions that boost agricultural productivity. The presence of key market players in North America further strengthens the region’s leadership. These industry leaders invest in R&D, creating cutting-edge agricultural technologies. The collaboration between market players and government support for smart farming practices further enhances the region’s dominance.

Additionally, the development of infrastructure and the availability of high-speed internet in rural areas have made it easier to integrate smart agricultural tools. Farmers in North America are now able to seamlessly use these technologies to optimize farming operations, leading to improved efficiency. The rise of cloud computing has also played a major role in shaping the smart agriculture landscape, allowing farmers to collect and analyze large amounts of data for precision agriculture. The combination of tech-savvy farmers, government policies, infrastructure, and cloud technologies has established North America as a global leader in smart agriculture, driving innovation and growth in the sector.

Major companies operating in Global Smart Agriculture Market are:

AGCO Corporation
Ag Leader Technology, Inc.
BouMatic Robotic B.V.
GEA Group Aktiengesellschaft
Topcon Positioning Systems, Inc.
DeLaval Holding AB, Allflex USA, Inc.
Afimilk Agricultural Cooperative Ltd.
AKVA Group
Heliospectra AB
LumiGrow Inc.

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“The future of the Global Smart Agriculture Market looks incredibly promising with the advent of cutting-edge technologies and innovative practices. With the world population on the rise and a growing demand for food, there is an urgent need for sustainable farming methods to meet these challenges. This is where the smart agriculture industry comes into play, leveraging advancements like artificial intelligence, machine learning, and the Internet of Things (IoT) to revolutionize farming practices. These technological advancements enable farmers to optimize crop yield, reduce waste, and make more informed decisions based on data-driven insights.

For instance, AI-powered systems can analyze soil conditions, weather patterns, and plant health to provide real-time recommendations on irrigation, fertilization, and pest control. By harnessing the power of predictive analytics, farmers can proactively address potential challenges, optimize resource allocation, and maximize productivity. Moreover, the increasing adoption of data-driven farming techniques and predictive analytics not only benefits individual farmers but also contributes to the overall growth of the smart agriculture market.

As more farmers embrace these innovative practices, there will be a surge in demand for advanced sensors, drones, precision farming equipment, and farm management software. The Global Smart Agriculture Market is poised for exponential growth, driven by the need for sustainable farming practices, increasing population, and rising food demand. The integration of AI, machine learning, and IoT technologies will revolutionize the way we cultivate crops, ensuring efficient resource utilization, improved crop yield, and a more sustainable future for agriculture.,” said Mr. Karan Chechi, Research Director with TechSci Research, a research-based management consulting firm.

“Smart Agriculture Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2020-2030 Segmented By Offering (Hardware, Software, Services), By Application (Precision Agriculture, Livestock Monitoring, Smart Greenhouses, Others), By Region and Competition”, has evaluated the future growth potential of Global Smart Agriculture Market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in Global Smart Agriculture Market.

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