Digital Agriculture Market Size - By Component, By Type, By Technology, By Operation, By Deployment, By Company Type, By Designation, By Application, By Offering - Regional Outlook, Competitive Strategies and Segment Forecasts to 2032
Global Digital Agriculture Market overview:
According to SPER Market Research, the Global Digital Agriculture Market is estimated to reach USD 49.92 billion by 2032 with a CAGR of 10.74%.
In order to monitor the growth of crops in real time, farmers are adopting digital agricultural tools, such as sensors that are installed on the fields and record the temperature and soil quality, computer programmes like Climate Field view, a tool designed to produce yield maps and farming maps, and other similar programmes. By enabling financial services, legal services, and access to training, the use of digital technology in agriculture facilitates the flow of information from suppliers to employees and vice versa. As a consequence, it helps stakeholders build strategic relationships. The development of technology, reducing resource waste and maximising production, as well as smart governmental policy, are raising awareness of digital agriculture and assisting in its uptake. These are among the major trends that are driving the anticipated development of the global digitized agriculture industry.
Impact of COVID-19 on the Global Digital Agriculture MarketThe most recent coronavirus outbreak has significantly affected the market for digital agriculture. The COVID-19 pandemic has caused severe restrictions and shut downs that have interrupted supply chains and caused a shortage of equipment, which has caused a modest decline in the digital farming industry in recent years. However, in the years after COVID-19, the use of farm management solutions and remotely sensed data could lead to a higher adoption rate. COVID-19 has disrupted the digital agriculture supply chain, and companies are experimenting with novel ways to connect electronically with producers and farmers. On the positive side, corporations have started to place more of a focus on wireless platforms in the post-COVID-19 situation in order to give crop health monitoring, field mapping, harvesting management, irrigation scheduling, and real-time decision making in yield monitoring.
Scope of the Report:Report Metric Details
Market size available for years 2019-2032
Base year considered 2021
Forecast period 2022-2032
Segments covered By Component, By Type, By Technology, By Operation, By Deployment, By Company Type, By Designation, By Application, By Offering
Regions covered North America, Europe, Asia Pacific, Latin America, Middle East and Africa
Companies Covered Accenture, Ag Gateway, AGCO Corporation, Agreena, Agri Webb, AKVA Group, BASF SE, Bayer Crop science AG, CISCO Systems Inc., CropX Inc., Deere & Company, DeLaval, Digital Globe, DJI, DTN, Epicor Software Corporation, Eurofins Scientific, Farmers Business Network, Farmers Edge Inc., Gamaya, Hexagon AB, IBM Corporation, Monsanto Company, Precision Hawk, Raven Industries, Small Robot Company, Syngenta AG, Taranis, Telus agriculture, Trimble Inc., Vodafone Group Plc, Zemdirbių Konsultacijos UAB.
Digital Agriculture Market Segmentation:
By Component: Based on the Component, Global Digital Agriculture Market is segmented as; Hardware {Automation and Control Systems (Control Systems, Displays, Drones/UAVs, Flow and Application Control Devices, Global Positioning Systems, Guidance and Steering Systems, Handheld Mobile Devices/ Handheld Computers, Harvesters & Forwarders, HVAC Systems, Irrigation Controllers, LED Grow Lights, Robotics Hardware, Variable Rate Controllers, Others), Sensing and Monitoring Device (Camera Systems, Climate Sensors, EC Sensors, pH and Dissolved Oxygen Sensors, RFID and Sensors for Precision Forestry, RFID tags & Readers for Livestock Monitoring, Sensors for Livestock Monitoring, Sensors for Smart Greenhouse, Soil Sensors, Temperature and Environmental Monitoring, Water Sensors Yield Monitor), Services (Assistant Professional Services, Connectivity Services, Maintenance and Support Services, Managed Services, System Integration and Consulting), Software (AI and Data Analytics, On-Cloud, On-Premises)}..
By Type: Based on the Type, Global Digital Agriculture Market is segmented as; Artificial Intelligence, Crop Monitoring, Precision Farming.
By Technology: Based on the Technology, Global Digital Agriculture Market is segmented as; Core Technologies (AL-ML, Automation, Drones, Robotics), Peripheral Technologies (Apps, Platforms).
By Operation: Based on the Operation, Global Digital Agriculture Market is segmented as; Farming and feeding (Precision Agriculture, Precision Animal Rearing and Feeding, Precision Aquaculture, Precision Forestry, Smart Greenhouse), Marketing and Demand Generation, Monitoring and Scouting.
By Deployment: Based on the Deployment, Global Digital Agriculture Market is segmented as; Cloud, On-Premise.
By Company Type: Based on the Company Type, Global Digital Agriculture Market is segmented as; Tier 1-55%, Tier 2-20%, Tier 3-25%.
By Designation: Based on the Designation, Global Digital Agriculture Market is segmented as; C-Level Executives-40%, Directors-35%, Others-25%.
By Application: Based on the Application, Global Digital Agriculture Market is segmented as; Crop Scouting, Farm Labor Management, Field Mapping Telematics, Inventory Management, Weather Tracking & Forecasting, Yield Monitoring, Others.
By Offering: Based on the Offering, Global Digital Agriculture Market is segmented as; Advisory services, Agri eCommerce, Digital Procurement, Financial services, Precision Agriculture and Farm Management, Quality Management and Traceability.
By Region: In the market for digital agriculture, APAC is the region that is expanding at the quickest rate. One of the main factors fuelling the region's prosperity is the agriculture sector's growing modernisation. Agriculture-dependent nations like Bangladesh, India, and China dominate the region. In the Asian Pacific region, China holds the greatest market share for digital agriculture. The nation plans to enhance investment in its own agriculture sector using a variety of technologies, including drones, auto-steering, sensors, and Al farming equipment. By utilising this technology, farms may operate more efficiently, producing more food and making the area more profitable.