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Based on component, the market is divided into hardware, software, and services. The software segment is further sub-segmented into cloud, on-premises, and AI & data analytics. The software segment is expected to register a CAGR of over 12% during the forecast period.
Based on offering, the digital agriculture market is divided into precision agriculture & farm management, advisory services, quality management & traceability, digital procurement, and agri e-commerce. The precision agriculture & farm management segment dominated the global market with a share of over 30% in 2023.
Asia Pacific is expected to register the largest CAGR of over 12% during the forecast period. The region is experiencing rapid growth in the agriculture sector, along with the rising adoption of advanced technologies, leading to increased demand for digital agriculture solutions. China and India are the largest contributors to the market in Asia Pacific. Increasing government initiatives are also spurring digital agriculture market growth.
For example, Karnataka, one of India's most productive agricultural states, has been at the forefront of adopting digital agriculture to develop farming techniques, boost crop yields, and improve farmer lifestyles. The state’s agricultural department has been collaborating closely with agriculturalists, researchers, and technology companies to create digital solutions that enhance farming methods. The government has also made significant investments in infrastructure and training to help farmers adopt digital technologies.
The Indian government is promoting the use of intelligent farming techniques. The India Digital Ecosystem of Agriculture (IDEA), Farmers Database, Unified Farmers Service Interface (UFSI), Funding to the States on the New Technology (NeGPA), Redesign of the Mahalanobis National Crop Forecast Centre (MNCFC), Soil Health, Fertility, and Profile Mapping are all components of the government's Digital Agriculture Mission (DAM). Under the NeGPA program, state governments receive funding for digital agriculture projects that make use of leading-edge technologies such as blockchain, IoT, and AI/ML.