The Agriculture Analytics Market is projected to grow from USD 3.32 billion in 2024 to USD 4.22 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 3.06% during the forecast period (2024 - 2032). Additionally, the market size for agriculture analytics was valued at USD 3.20 billion in 2023.
Enhancing 5G mobile networks with next-generation satellite capabilities, and Increased demand for mobility, greater integration of mobile are the key market drivers enhancing the market growth.
Figure 1: Agriculture Analytics Market Size, 2023-2032 (USD Billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Agriculture analytics manages and automates farming activities like crops, fields, livestock, and others by utilizing cutting-edge technologies like big data, artificial intelligence, cloud computing, and the Internet of Things. The increasing demand for food is driving the adoption of cutting-edge solutions in farming. According to the UN, the planet will have 9 point 8 billion people in 2050. Future food demand will increase by a factor of two due to the population's rapid growth. Consequently, the agriculture industry is anticipated to address the challenges in the future with the adoption of agriculture analytics technology.
Similar trends can be seen in the shrinking amount of arable land. The agricultural land is severely impacted by population growth, urbanization, water scarcity, and climate change. Businesses and the government are promoting urban and vertical farming to manage the rising food demand. The demand for agricultural analytics solutions is driven by using vacant land and structures to structure vertical columns for crop yielding. The technology also provides alerts and insights on various topics, including soil quality, field planning, breeding management, and irrigation management. In addition to reducing damage, this promotes the growth of high-quality crops.
After gathering hundreds of images of field crops, analytics in agriculture offers significant actionable information and reports on farming, and the use of sensors and analytics helps to reduce crop spoilage and food-borne illness. Agriculture supply chains have also benefited from analytics in agriculture. It offers a platform for enhancing the flow of agricultural goods from the field to the market. population growth has compelled us to consider food security. Agriculture analytics are increasingly in demand due to rising food prices and the need to maintain a healthy agricultural yield. The market is expected to grow due to the increasing number of crop failures caused by climate change and other environmental factors. The market has also been boosted by the increasing efforts made by different governments to deploy and adopt modern agricultural techniques. However, most farmers need more experience with agricultural data and analytics, which could contribute to a market slowdown. Thus, driving the agriculture analytics market revenue.
The agriculture analytics market segmentation, based on components, includes solution and service. The solution segment dominated the market, increasing data use for strategic workforce planning, gaining a competitive edge, addressing long-term labor issues, and ensuring employee engagement and satisfaction are the main factors propelling the market's growth.
Based on farm size, the agriculture analytics market segmentation includes Large Farms, Small Farms and Medium-Sized Farms. The large farms category generated the most income. Large farms can use agriculture analytics to enhance crop management and boost yields. Farmers can choose planting, irrigation, and fertilization more wisely by analyzing data on variables like rainfall patterns, water cycles, and fertilizer needs. They could increase crop growth and decrease waste by doing this. Additionally, analytics can create predictive models to foresee potential problems and monitor crop health in real time. Using farm analytics, farmers can accurately predict the quantity and quality of crops produced even before planting, which can aid in better decision-making and increase the success of their agribusinesses.
Figure 2: Agriculture Analytics Market, by Farm Size, 2022 & 2032 (USD billion)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Based on deployment modes, the agriculture analytics market segmentation includes cloud and on-premises. The on-premises segment dominated the market. Concerns about data security among end users are helping the on-premises agriculture analytics market growth globally. Large farms with better financial capabilities are the primary users of the on-premises agricultural analytics market.
Based on application, the agriculture analytics market segmentation includes farm analytics, livestock analytics, and aquaculture analytics. The livestock analytics category generated the most income. Using real-time data about animals and advancing various livestock management processes, such as behavior monitoring and management, feeding management, milk harvesting, breed management, heat stress management, calf management, genetic management, and cattle sorting, agriculture analytics solutions and services help livestock producers make better decisions. Livestock analytics involves advancing farm productivity using various tools, including feeding systems, RFID, farm management systems, GPS, robotic milking machines, and other software technology solutions.
By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The Asia-Pacific Agriculture Analytics Market is expected to grow at the fastest CAGR from 2023 to 2032. The demand for agriculture analytics will likely be fueled by the expanding government initiative to digitalize and advance farming practices. The rapid population growth in nations like China, Japan, and India also encourages the adoption of cutting-edge technologies to increase yield. Because there are fewer water resources available in most areas, the Middle East and Africa will experience a significant increase in the adoption of agriculture analytics. With the least amount of water waste possible, crop irrigation can be managed using agriculture analytics.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Figure 3: AGRICULTURE ANALYTICS MARKET SHARE BY REGION 2022 (%)
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe’s agriculture analytics market accounts for the second-largest market share due to growing agricultural production, rising investments in digital agriculture practices, and rising adoption of advanced farming technologies in this region. Further, the German agriculture analytics market held the largest market share, and the UK agriculture analytics market was the fastest-growing market in the European region.
North American agriculture analytics market will dominate, with market share over the anticipated period. The region's dense concentration of cloud computing, big data analytics, artificial intelligence, and other technology providers is fueling the market's expansion. Due to the early adoption of technologies across all industries, the US is likely to dominate the market. Europe will also experience significant growth during the prediction period. The rising demand for fresh, high-quality food is driving the adoption of agriculture analytics in the farming sector. Moreover, the Canada agriculture analytics market held the largest market share, and the US agriculture analytics market was the fastest-growing market in the North American region.
Leading market players are investing heavily in research and development to expand their product lines, which will help the agriculture analytics market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. The agriculture analytics industry must offer cost-effective items to expand and survive in a more competitive and rising market climate.
Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the agriculture analytics industry to benefit clients and increase the market sector. In recent years, the agriculture analytics industry has offered some of the most significant advantages to medicine. Major players in the agriculture analytics market, including 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 others, are attempting to increase market demand by investing in research and development operations.
SAP SE (Germany) We are redefining ERP and building networks of intelligent enterprises that provide transparency, resiliency, and sustainability across supply chains to help businesses of all sizes and industries run better. We are the market leader in enterprise application software. Our customers can operate profitably, continuously adapt, and make a difference globally thanks to our comprehensive suite of applications and services. One of the world's top software developers for business process management, SAP creates products that streamline efficient data processing and information exchange between organizations. The business was founded in 1972 and was initially known as System Analysis Program Development (Systemanalyse Programmentwicklung), later becoming SAP. Since then, it has expanded from a five-person startup to a corporation with over 105,000 staff members based in Walldorf, Germany.
IBM (US), To assist clients in finding solutions to their most pressing business problems, we combine all required technology and services, regardless of where those solutions originate. When clients pursue the digital transformation of the world's mission-critical businesses, IBM integrates technology and expertise, offering infrastructure, software (including market-leading Red Hat), and consulting services. We continued our history of sustainability leadership in 2021 when we declared a target of net-zero greenhouse gas emissions across all the nations where we do business by 2030.
In Oct 2022, EOSDA joined hands with TelOne Pvt (Limited) to announce a strategic partnership that will enable the former to enter into the smart agriculture sector and assist Zimbabwe’s government, farmers, and other players in the agricultural value chain, such as financial institutions in creating communities’ value and contributing to country’s economy.
In Oct 2022, AGDATA was purchased by Levine Leichtman Capital, thus enabling it to offer workflow solutions together with data within the agribusiness and animal health sectors.
Linux Foundation is partnering with CGIAR on a research initiative aiming at developing an open-source standard for sharing geospatial data about farms.
IBM announced its partnership with The Climate Corporation, a global technology solution provider–in March 2023. The collaboration focused on new IAAS that would specifically deal with data collection from various sources utilizing IBM Watson IoT platform. It is expected that this partnership between IBM and The Climate Corporation will help IMB enhance its agriculture offering portfolio.
In January 2023 Nutrien Ag Solutions announced their partnership with John Deere who are global farm equipment providers. This will help in optimizing logistics of both companies toward serving growers better as expected of them.
SAP Inc., which is a worldwide technology solution provider, declared its alliance with DeHaat Early this year. DeHaat plans to use SAP’s cloud enterprise ERP solution to provide comprehensive agricultural services throughout India. This initiative would increase DeHaat’s customer base thereby broadening its market reach.
Trimble Inc., one of the world’s largest agriculture analytical solutions providers recently launched Virtual Farm globally aimed at helping farmers identify common challenges through digital farms in February 2022. This move is part of Trimble’s efforts aimed at increasing its customer base through digitizing their products or solutions
Trimble Inc., which is among the leading global agricultural solution providers, launched Virtual Farm recently in February 2022. By using Trimble service lines like water management systems, the new virtual farm will help users deal with issues related to water management, input management among others.
April 2024
Cropin Technology, an agritech firm located in Bangaluru, has just announced the debut of 'akแนฃara', the first purpose-built open-source Micro Language Model (µ-LM) for climate-smart agriculture in the sector. This model is licensed under the Apache 2.0 license and does not impose any restrictions.
On the basis of Mistral's foundational model, the micro language model was developed with the intention of addressing the challenges that are encountered by underserved farming communities in the Global South. This was accomplished by removing barriers to knowledge and empowering anyone involved in the agriculture ecosystem to construct AI solutions that are both cost-effective and scalable for the sector.
Solution
Services
Large Farms
Small Farms
Medium-Sized Farms
Cloud
On-Premises
Farm Analytics
Livestock Analytics
Aquaculture Analytics
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
| Report Attribute/Metric | Details |
| Market Size 2023 | USD 3.20 billion |
| Market Size 2024 | USD 3.32 billion |
| Market Size 2032 | USD 4.22 billion |
| Compound Annual Growth Rate (CAGR) | 3.06% (2024-2032) |
| Base Year | 2023 |
| Market Forecast Period | 2024-2032 |
| Historical Data | 2019- 2021 |
| Market Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | Component, Farm Size, Deployment modes, Applications and Region |
| Geographies Covered | North America, Europe, Asia Pacific, and the Rest of the World |
| Countries Covered | The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil |
| Key Companies Profiled | 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 others, are attempting to increase market demand by investing in research and development |
| Key Market Opportunities | Rising food prices. |
| Key Market Dynamics | Need to maintain a healthy agricultural yield. |
Frequently Asked Questions (FAQ) :
The agriculture analytics market size was valued at USD 3.20 Billion in 2023.
The market is projected to grow at a CAGR of 3.06% during 2024-2032.
Asia Pacific had the largest share of the market
The key players in the market are 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 others, are attempting to increase market demand by investing in research and development.
The solutions category dominated the market in 2022.
The large farms had the largest share in the market.
Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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