Global Agriculture Analytics Market Size Was Valued at USD 1.28 Billion In 2023 And Is Projected to Reach USD 3.54 Billion By 2032, Growing at A CAGR of 11.97% From 2024 To 2032.
Agricultural analytics involves utilizing technologies like IoT, big data, and other analytical tools in agriculture. Smart farming is a component of agricultural analytics and an innovative utilization of science and technology within the farming industry. It is commonly utilized to explore various facets of agriculture, such as irrigation and cultivation. Different technologies, like IoT, remote sensing control, and GPS, are utilized for agricultural data analysis. Agricultural analytics utilizes various technologies like drones and satellites to enhance farming methods and aid in decision-making processes.
Rising food consumption and the requirement for productive land are expected to increase the need. The significant potential of urban farming, in which individuals cultivate vegetables in their gardens and homes, may enhance market growth. The potential to provide food for nearby communities and the advantages of safeguarding crops from environmental pressures may lead to positive outcomes in the market. Farmers have the ability to enhance their potential and greatly boost crop yields by utilizing big data and artificial intelligence.
Agriculture Analytics Market Top Key Players:
Deere & Company (US), IBM (US), SAP SE (Germany), Trimble(US), Monsanto (US), Oracle (US), Accenture (Ireland), Iteris (US), Taranis (Israel), Agribotix (US), Agrivi (UK), DTN (US), aWhere (US), Conservis Corporation (US), DeLaval (Sweden), FBN (US), Farmers Edge (US), GEOSYS (US), Granular (US), Gro Intelligence (US), and other major players.
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Opportunity:
Upcoming Opportunity for the Deployment of Big Data in Agriculture Industry
Big data has the potential to greatly transform the agricultural industry, providing opportunities for growth. Having a cloud-based ecosystem and the right software & tools to combine data sources is the sole reason for the growth. Moreover, in order to meet the challenges of increasing food demand and climate change, key stakeholders are reaching out to technology professionals for help, including IoT, analytics, big data, and cloud computing. Furthermore, the potential of Big Data in monitoring tangible objects, collecting up-to-the-minute information, and forecasting upcoming situations can provide lucrative prospects in agricultural activities. Farmers can make more informed decisions by using big data to access information on rainfall patterns, fertilizer needs, water cycles, and more.
Segmentation Analysis of The Agriculture Analytics Market:
By Component
- Solutions
- Services
By Deployment
- On-Premise
- Cloud-based
By Application
- Farm Analytics
- Livestock Analytics
- Aquaculture Analytics
- Others
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By Region
- North America (US, Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
Influence of the Report:
- A comprehensive evaluation of all the opportunities and risks in the Agriculture Analytics market.
- Recent innovations and major developments in the Agriculture Analytics market.
- A detailed study of the business strategy for the growth of the player leading in the market.
- The definitive study on the future growth of the market.
- In-depth understanding of the Agriculture Analytics market-specific drivers, constraints and key micro markets.
- Favorable technology and market latest trends to hit the market.
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