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Smart Irrigation Market size valued at USD 1.4 billion in 2022 and is anticipated to grow at a CAGR of 12% between 2023 and 2032. Rising water scarcity and droughts in many parts of the world have created the need for efficient water management in agriculture and infrastructure. Smart irrigation systems can precisely control water use, aiding in the efficient watering of plants while reducing water wastage. Micro-irrigation Systems Market size is poised to record 10% CAGR during the forecast period.
Furthermore, there is a growing awareness about environmental issues including water pollution & soil erosion and the impacts of traditional agriculture on ecosystems. Smart irrigation systems offer effective solutions by reducing water use, reducing chemical emissions, and improving the overall resource efficiency. These factors contribute to agricultural production, which is important for the protection of the environment and minimizing the ecological impact.
Report Attribute | Details |
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Base Year: | 2022 |
Smart Irrigation Market Size in 2022: | USD 1.4 Billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 12% |
2032 Value Projection: | USD 4 Billion |
Historical Data for: | 2018 to 2022 |
No. of Pages: | 250 |
Tables, Charts & Figures: | 500 |
Segments covered: | System type, component, End-use |
Growth Drivers: |
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Pitfalls & Challenges: |
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Smart irrigation refers to the use of technologies and systems to improve & optimize water flow in agriculture, construction, and other water-intensive applications. Smart irrigation systems use sensors, weather data, soil moisture monitoring techniques, and real-time data to determine the water needs of plants and distribute water efficiently.
Lack of infrastructure development and connectivity issues can hinder the smart irrigation market growth. Smart irrigation systems rely on powerful communication systems to exchange data between sensors, controllers, and cloud-based platforms. In some rural or remote areas, the availability of reliable connections may be limited, leading to difficulties in the use & operation of these systems. Without a stable & fast network, real-time data transmission and remote monitoring are compromised.