Global Smart Agriculture
Market Report
2025
The global Smart Agriculture Market size will be USD 15241.5 million in 2025. The rising need for higher crop yields is expected to boost sales to USD 34124.69089 million by 2033, with a Compound Annual Growth Rate (CAGR) of 10.60% from 2025 to 2033.
The base year for the calculation is 2024. The historical will be 2021 to 2024. The year 2025 will be estimated one while the forecasted data will be from year 2025 to 2033. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, the global Smart Agriculture Market size will be USD 15241.5 million in 2025. It will expand at a compound annual growth rate (CAGR) of 10.60% from 2025 to 2033.
2021 | 2025 | 2033 | CAGR | |
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Global Smart Agriculture Market Sales Revenue | 121212 | $ 15241.5 Million | $ 34124.7 Million | 10.6% |
North America Smart Agriculture Market Sales Revenue | 121212 | $ 5639.36 Million | $ 10751.4 Million | 8.4% |
Mexico Smart Agriculture Market Sales Revenue | 121212 | $ 513.18 Million | 121212 | 8.9% |
Canada Smart Agriculture Market Sales Revenue | 121212 | $ 676.72 Million | 121212 | 9.2% |
United States Smart Agriculture Market Sales Revenue | 121212 | $ 4449.45 Million | 121212 | 8.2% |
Europe Smart Agriculture Market Sales Revenue | 121212 | $ 4420.04 Million | $ 8742.8 Million | 8.9% |
Spain Smart Agriculture Market Sales Revenue | 121212 | $ 362.44 Million | 121212 | 8% |
United Kingdom Smart Agriculture Market Sales Revenue | 121212 | $ 742.57 Million | 121212 | 9.7% |
Russia Smart Agriculture Market Sales Revenue | 121212 | $ 685.11 Million | 121212 | 7.9% |
Switzerland Smart Agriculture Market Sales Revenue | 121212 | $ 66.3 Million | 121212 | 8.6% |
Italy Smart Agriculture Market Sales Revenue | 121212 | $ 380.12 Million | 121212 | 8.3% |
Denmark Smart Agriculture Market Sales Revenue | 121212 | $ 92.82 Million | 121212 | 8.7% |
Germany Smart Agriculture Market Sales Revenue | 121212 | $ 875.17 Million | 121212 | 9.1% |
Sweden Smart Agriculture Market Sales Revenue | 121212 | $ 137.02 Million | 121212 | 9% |
France Smart Agriculture Market Sales Revenue | 121212 | $ 406.64 Million | 121212 | 8.1% |
Luxembourg Smart Agriculture Market Sales Revenue | 121212 | $ 53.04 Million | 121212 | 9.2% |
Rest of Europe Smart Agriculture Market Sales Revenue | 121212 | $ 618.8 Million | 121212 | 7.6% |
Asia Pacific Smart Agriculture Market Sales Revenue | 121212 | $ 3657.96 Million | $ 9452.5 Million | 12.6% |
Japan Smart Agriculture Market Sales Revenue | 121212 | $ 504.8 Million | 121212 | 11.1% |
Singapore Smart Agriculture Market Sales Revenue | 121212 | $ 73.16 Million | 121212 | 12.9% |
China Smart Agriculture Market Sales Revenue | 121212 | $ 1536.34 Million | 121212 | 12.1% |
Australia Smart Agriculture Market Sales Revenue | 121212 | $ 190.21 Million | 121212 | 11.9% |
South East Asia Smart Agriculture Market Sales Revenue | 121212 | $ 241.43 Million | 121212 | 13.4% |
India Smart Agriculture Market Sales Revenue | 121212 | $ 365.8 Million | 121212 | 14.5% |
Taiwan Smart Agriculture Market Sales Revenue | 121212 | $ 142.66 Million | 121212 | 12.4% |
South Korea Smart Agriculture Market Sales Revenue | 121212 | $ 438.96 Million | 121212 | 11.7% |
Rest of APAC Smart Agriculture Market Sales Revenue | 121212 | $ 164.61 Million | 121212 | 12.4% |
South America Smart Agriculture Market Sales Revenue | 121212 | $ 579.18 Million | $ 1205.9 Million | 9.6% |
Peru Smart Agriculture Market Sales Revenue | 121212 | $ 47.49 Million | 121212 | 9.8% |
Colombia Smart Agriculture Market Sales Revenue | 121212 | $ 51.55 Million | 121212 | 9.4% |
Argentina Smart Agriculture Market Sales Revenue | 121212 | $ 97.3 Million | 121212 | 10.5% |
Brazil Smart Agriculture Market Sales Revenue | 121212 | $ 247.89 Million | 121212 | 10.2% |
Chile Smart Agriculture Market Sales Revenue | 121212 | $ 41.7 Million | 121212 | 9.9% |
Rest of South America Smart Agriculture Market Sales Revenue | 121212 | $ 93.25 Million | 121212 | 8.7% |
Middle East Smart Agriculture Market Sales Revenue | 121212 | $ 609.66 Million | $ 1297.4 Million | 9.9% |
Egypt Smart Agriculture Market Sales Revenue | 121212 | $ 36.58 Million | 121212 | 9.7% |
UAE Smart Agriculture Market Sales Revenue | 121212 | $ 125.59 Million | 121212 | 10.4% |
Turkey Smart Agriculture Market Sales Revenue | 121212 | $ 48.77 Million | 121212 | 10.5% |
Qatar Smart Agriculture Market Sales Revenue | 121212 | $ 48.77 Million | 121212 | 9.4% |
Saudi Arabia Smart Agriculture Market Sales Revenue | 121212 | $ 214.6 Million | 121212 | 10.2% |
Rest of Middle East Smart Agriculture Market Sales Revenue | 121212 | $ 135.34 Million | 121212 | 9.1% |
Africa Smart Agriculture Market Sales Revenue | 121212 | $ 335.31 Million | $ 734.6 Million | 10.3% |
South Africa Smart Agriculture Market Sales Revenue | 121212 | $ 118.03 Million | 121212 | 11.2% |
Nigeria Smart Agriculture Market Sales Revenue | 121212 | $ 26.83 Million | 121212 | 10.5% |
Rest of Africa Smart Agriculture Market Sales Revenue | 121212 | $ 190.46 Million | 121212 | 9.5% |
Base Year | 2024 |
Historical Data Time Period | 2021-2024 |
Forecast Period | 2025-2033 |
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List of Competitors |
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Smart Agriculture Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The Smart Agriculture market involves the use of advanced technologies like IoT, AI, drones, and automation to optimize farming practices, increase productivity, and ensure sustainability. These technologies enable real-time monitoring of crops, efficient use of resources, and precise decision-making. Key market drivers include the rising global demand for food, labour shortages, and the need for environmentally sustainable farming solutions. As precision farming gains traction, the market is experiencing rapid growth, with an expected increase in market size driven by continued technological advancements and government support, further accelerating the expansion of this market.
In February 2024, John Deere launched the new S7 Series of combines, a range of harvesters built for enhanced efficiency, superior harvest quality, and ease of operation. During harvest time, maximizing efficiency is crucial, and the S7 Series is designed to help farmers and custom operators optimize their performance. These combines enable them to make the most of the season's hard work, ensuring peak productivity throughout the harvesting process. https://www.deere.com/en/news/all-news/new-s7-series-combines/
The rising global population and ongoing climate challenges are driving the urgent need for more efficient and productive agricultural methods. To meet this demand, farmers worldwide are adopting smart agriculture technologies like artificial intelligence, the Internet of Things (IoT), and automation to increase crop yields and use resources more efficiently. In Kenya, small-scale farmers have seen improved harvests by using AI platforms such as Virtual Agronomist and PlantVillage, which offer personalized advice on crop care. In India, deep learning is being used to detect plant diseases, minimizing crop loss swiftly. At CES 2025, companies like John Deere showcased autonomous farming equipment, highlighting the sector's shift toward sustainable, tech-driven farming solutions.
Labor shortages in agriculture are a growing challenge, driven by factors like rural-to-urban migration, an ageing workforce, and the seasonal nature of farming. To combat this, farmers are turning to automation technologies, including drones, autonomous tractors, and AI-powered systems. In Gujarat, India, the state government has allocated ?35 crores to help farmers purchase drones for tasks like pesticide application, reducing dependence on manual labour. These technologies not only address labour shortages but also enhance operational efficiency. Automation allows for precise task execution, reduces human error, and enables farmers to focus on complex tasks, transforming agriculture into a more sustainable industry.
The adoption of smart agriculture technologies faces a significant barrier due to the high initial investment costs. Technologies such as precision farming tools, IoT devices, drones, and AI-driven systems often require substantial upfront capital, making them inaccessible for small-scale farmers, particularly in developing countries. These high costs extend beyond the purchase of equipment, including installation, maintenance, and training expenses. As a result, many farmers are hesitant to adopt these technologies despite their long-term benefits. This financial challenge is slowing the widespread adoption of smart farming solutions, hindering the growth of the market.
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Tariffs on Chinese imports led to higher prices for essential components like sensors, IoT devices, and machinery used in smart agriculture. These increased production costs were passed on to manufacturers and farmers, making smart agriculture technologies less affordable and accessible. This also slowed the pace at which farmers could adopt advanced agricultural technologies, as they faced higher upfront costs.
Tariffs imposed on fertilizers, pesticides, and farming equipment from countries like China and Canada contributed to rising input costs. Since many of these products are imported, the tariffs made them significantly more expensive, putting additional financial pressure on farmers. As a result, farmers faced higher operational expenses, which led to reduced profitability and made it difficult for them to invest in smart farming technologies. This ultimately slowed the growth of the smart agriculture market.
The trade tensions and tariff policies created disruptions in the supply chain, causing delays in the delivery of agricultural technologies and equipment. Many agtech companies rely on global supply chains to source components and assemble their products. Tariffs led to longer lead times and increased shipping costs, delaying product launches and affecting customer satisfaction. This disruption slowed the overall adoption of smart agriculture technologies, as farmers faced delays in receiving the tools necessary for precision farming.
The uncertainty surrounding the impact of tariffs on the agriculture sector led to a reduction in investments in agricultural technology. Venture capitalists and companies were hesitant to commit to new projects, fearing higher costs and market instability. As a result, the innovation and growth in the agtech sector slowed down, and fewer new smart agriculture solutions were brought to market. The uncertain trade environment led to a more cautious approach to funding and scaling ag-tech startups, which hindered market expansion.
The competitive landscape in the smart agriculture market is dynamic, with both established giants and emerging startups vying for market share. Key players like John Deere, AGCO Corporation, and Trimble Inc. lead the market through innovations in precision farming, autonomous machinery, and IoT integration. At the same time, startups such as Cropin Technology and Regrow are disrupting the space with AI-driven solutions for crop management and sustainability. Mergers and acquisitions are increasingly common as companies aim to enhance technological capabilities and expand their offerings.
In May 2024, Trimble announced the acquisition of Flashtract. This privately held company provides specialized technology to simplify the exchange of payment and compliance information between general contractors and subcontractors in the construction industry. The financial terms of the acquisition were not disclosed. https://investor.trimble.com/news/news-details/2024/Trimble-Acquires-Flashtract-Adding-Construction-Payment-and-Subcontractor-Compliance-Technology-to-Minimize-Risk-and-Improve-Efficiency-for-Contractors/default.aspx In August 2024, Trico Products Corp. announced three new wiper blade products under the TRICO Solutions label. These wipers are intended to suit the performance needs of some of the most popular car models https://www.aftermarketnews.com/trico-products-introduces-new-trico-solutions-lines-of-specialized-wiper-blades/ In September 2024, Bayer introduced its global initiative, 'Bayer ForwardFarming’, in India, marking the 29th ForwardFarm globally. Each ForwardFarm acts as a hub for sustainable farming practices, offering a collaborative platform for farmers, researchers, and stakeholders to exchange knowledge and insights. https://www.bayer.in/en/bayer-launches-forwardfarm-in-india-to-demonstrate-positive-effects-of-regenerative-agriculture
Top Companies Market Share in Smart Agriculture Industry: (In no particular order of Rank)
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According to Cognitive Market Research, North America holds a dominant share of the Smart Agriculture market, driven by advanced technological adoption, strong investment in agricultural innovation, and robust infrastructure. The US and Canada lead in precision farming, utilizing AI, drones, and IoT technologies to improve productivity and sustainability. Government support and a well-developed tech ecosystem further contribute to the region's market leadership.
The Asia Pacific region is the fastest-growing market for Smart Agriculture, fueled by rapid technological adoption, increasing food demand, and government initiatives. Countries like China and India are heavily investing in precision farming and agtech solutions to enhance agricultural productivity and address labour shortages. Growing awareness of sustainable farming practices is driving significant growth in this region.
The current report Scope analyzes Smart Agriculture Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only.
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According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which North America held the major market share of more than 40% of the global revenue with a market size of USD 5639.36 million in 2025 and will grow at a compound annual growth rate (CAGR) of 8.4% from 2025 to 2033.
According to Cognitive Market Research, the US had a major share in the Smart Agriculture Market with a market size of USD 4449.45 million in 2025 and is projected to grow at a CAGR of 8.2% during the forecast period. The US dominates the smart agriculture market due to advanced precision farming technologies and strong government support.
The Canadian Smart Agriculture Market had a market share of USD 676.72 million in 2025 and is projected to grow at a CAGR of 9.2% during the forecast period. Canada is the fastest-growing smart agriculture market, driven by the rapid adoption of livestock monitoring and precision farming solutions.
The Mexico Smart Agriculture Market is projected to witness growth at a CAGR of 8.9% during the forecast period, with a market size of USD 513.18 million in 2025.
According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which Europe held the market share of more than 30% of the global revenue with a market size of USD 4420.04 million in 2025 and will grow at a compound annual growth rate (CAGR) of 8.9% from 2025 to 2033.
The United Kingdom Smart Agriculture Market had a market share of USD 742.57 million in 2025 and is projected to grow at a CAGR of 9.7% during the forecast period. The UK is the fastest-growing smart agriculture market in Europe, driven by the rapid adoption of agritech innovations and AI solutions.
The France Smart Agriculture Market is projected to witness growth at a CAGR of 8.1% during the forecast period, with a market size of USD 406.64 million in 2025.
According to Cognitive Market Research, the German Smart Agriculture Market size was valued at USD 875.17 million in 2025 and is projected to grow at a CAGR of 9.1% during the forecast period. Germany dominates Europe's smart agriculture market due to strong investment in precision farming and AI-driven technologies.
The Italy Smart Agriculture Market is projected to witness growth at a CAGR of 8.3% during the forecast period, with a market size of USD 380.12 million in 2025.
The Russia Smart Agriculture Market is projected to witness growth at a CAGR of 7.9% during the forecast period, with a market size of USD 685.11 million in 2025
The Spain Smart Agriculture Market is projected to witness growth at a CAGR of 8.0% during the forecast period with a market size of USD 362.44 million in 2025
The Sweden Smart Agriculture Market is projected to witness growth at a CAGR of 9.2% during the forecast period, with a market size of USD 137.02 million in 2025.
The Denmark Smart Agriculture Market is projected to witness growth at a CAGR of 8.7% during the forecast period, with a market size of USD 92.82 million in 2025
The Switzerland Smart Agriculture Market is projected to witness growth at a CAGR of 8.6% during the forecast period, with a market size of USD 66.30 million in 2025.
The Luxembourg Smart Agriculture Market is projected to witness growth at a CAGR of 9.2% during the forecast period, with a market size of USD 53.04 million in 2025.
The Rest of Europe's Smart Agriculture Market is projected to witness growth at a CAGR of 7.6% during the forecast period, with a market size of USD 618.80 million in 2025.
According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which APAC held the market share of around 23% of the global revenue with a market size of USD 3657.96 million in 2025 and will grow at a compound annual growth rate (CAGR) of 12.6% from 2025 to 2033.
According to Cognitive Market Research, the China Smart Agriculture Market size was valued at USD 1536.34 million in 2025 and is projected to grow at a CAGR of 12.1% during the forecast period. China dominates Asia's smart agriculture market through strong government support and large-scale adoption of precision farming technologies.
The Japan Smart Agriculture Market is projected to witness growth at a CAGR of 11.1% during the forecast period, with a market size of USD 504.80 million in 2025
The South Korea Smart Agriculture Market had a market share of USD 438.96 million in 2025 and is projected to grow at a CAGR of 11.7% during the forecast period. India's ncreasing demand for affordable, fuel-efficient cars.
The Indian Smart Agriculture Market is projected to witness growth at a CAGR of 14.5% during the forecast period, with a market size of USD 365.80 million in 2025. India is the fastest-growing smart agriculture market globally, driven by the rapid integration of AI, IoT, and digital farming solutions.
The Australian Smart Agriculture Market is projected to witness growth at a CAGR of 11.9% during the forecast period, with a market size of USD 190.21 million in 2025.
The Singapore Smart Agriculture Market is projected to witness growth at a CAGR of 12.9% during the forecast period, with a market size of USD 73.16 million in 2025.
The Taiwan Smart Agriculture Market is projected to witness growth at a CAGR of 12.4% during the forecast period, with a market size of USD 142.66 million in 2025.
The South East Asia Smart Agriculture Market is projected to witness growth at a CAGR of 13.4% during the forecast period, with a market size of USD 241.43 million in 2025.
The Rest of APAC Smart Agriculture Market is projected to witness growth at a CAGR of 12.4% during the forecast period, with a market size of USD 164.61 million in 2025.
According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which South America held the market share of around 5% of the global revenue with a market size of USD 579.18 million in 2025 and will grow at a compound annual growth rate (CAGR) of 9.6% from 2025 to 2033.
According to Cognitive Market Research, the Brazil Smart Agriculture Market size was valued at USD 247.89 million in 2025 and is projected to grow at a CAGR of 10.2% during the forecast period. Brazil dominates Latin America's smart agriculture market due to strong adoption of precision farming and smart greenhouse technologies.
Argentina's Smart Agriculture Market had a market share of USD 97.30 million in 2025 and is projected to grow at a CAGR of 10.5% during the forecast period. Argentina is the fastest-growing smart agriculture market in the region, fueled by the rising use of precision farming and tech solutions.
Colombia Smart Agriculture Market is projected to witness growth at a CAGR of 9.4% during the forecast period, with a market size of USD 51.55 million in 2025
Peru Smart Agriculture Market is projected to witness growth at a CAGR of 9.8% during the forecast period, with a market size of USD 47.49 million in 2025.
Chile Smart Agriculture Market is projected to witness growth at a CAGR of 9.9% during the forecast period, with a market size of USD 41.70 million in 2025
The Rest of South America's Smart Agriculture Market is projected to witness growth at a CAGR of 8.7% during the forecast period, with a market size of USD 93.25 million in 2025.
According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which the Middle East held the major market share of around 2% of the global revenue with a market size of USD 609.66 million in 2025 and will grow at a compound annual growth rate (CAGR) of 9.9% from 2025 to 2033.
The Qatar Smart Agriculture Market is projected to witness growth at a CAGR of 9.4% during the forecast period, with a market size of USD 48.77 million in 2025.
The Saudi Arabia Smart Agriculture Market is projected to witness growth at a CAGR of 10.2% during the forecast period, with a market size of USD 214.60 million in 2025. Saudi Arabia dominates the Middle East's smart agriculture market through heavy investments in AI-driven farming and digital technologies.
The Turkey Smart Agriculture Market is projected to witness growth at a CAGR of 10.5% during the forecast period, with a market size of USD 48.77 million in 2025. Turkey is the region’s fastest-growing smart agriculture market, boosted by strong government support and rapid tech adoption.
The UAE Smart Agriculture Market is projected to witness growth at a CAGR of 10.4% during the forecast period, with a market size of USD 125.59 million in 2025.
The Egypt Smart Agriculture Market is projected to witness growth at a CAGR of 9.7% during the forecast period, with a market size of USD 36.58 million in 2025.
The Rest of the Middle East Smart Agriculture Market is projected to witness growth at a CAGR of 9.1% during the forecast period, with a market size of USD 135.34 million in 2025
According to Cognitive Market Research, the global Smart Agriculture Market size was estimated at USD 15241.5 Million, out of which Africa held the major market share of around 2% of the global revenue with a market size of USD 106.95 million in 2025 and will grow at a compound annual growth rate (CAGR) of 10.3% from 2025 to 2033.
The Nigeria Smart Agriculture Market is projected to witness growth at a CAGR of 10.5% during the forecast period, with a market size of USD 26.83 million in 2025. Nigeria is the fastest-growing smart agriculture market in Africa, driven by digital platforms and government-backed initiatives supporting farmers.
The South Africa Smart Agriculture Market is projected to witness growth at a CAGR of 11.2% during the forecast period, with a market size of USD 118.03 million in 2025. South Africa dominates Africa's smart agriculture market with strong investments in precision farming and AI technologies.
The Rest of Africa Smart Agriculture Market is projected to witness growth at a CAGR of 9.5% during the forecast period, with a market size of USD 190.46 million in 2025.
Global Smart Agriculture Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Smart Agriculture Industry growth. Smart Agriculture market has been segmented with the help of its Type Outlook:, Offering Outlook: , and others. Smart Agriculture market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
How are Segments Performing in the Global Smart Agriculture Market?
According to Cognitive Market Research, Precision farming is the dominant segment in the Smart Agriculture market. This category involves the use of technologies like IoT, drones, GPS, and AI to optimize crop production and resource usage. It enables farmers to monitor and manage variables such as soil health, weather patterns, and crop growth, leading to improved yields, reduced waste, and cost savings. The widespread adoption of precision farming tools in developed markets like North America and Europe, along with the need for efficient and sustainable farming practices, makes it the largest and most established segment.
The smart greenhouse segment is the fastest-growing in the Smart Agriculture market. With the increasing demand for sustainable farming solutions and the rise in urban farming, smart greenhouses offer innovative solutions to control environmental factors such as temperature, humidity, and light. Using sensors and automation, they enable year-round crop production with minimal resource usage. The growing interest in controlled-environment agriculture and the push for sustainable food production methods make smart greenhouses the fastest-expanding category in the market, particularly in regions with limited arable land.
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According to Cognitive Market Research, The hardware segment is the dominant category in the Smart Agriculture market. This category includes key devices such as IoT sensors, drones, automated machinery, and GPS systems, all of which are crucial for data collection, crop monitoring, and optimizing farming practices. These hardware solutions enable farmers to gather real-time insights on soil conditions, weather patterns, and crop health, leading to more informed decisions and better resource utilization. As farmers globally increasingly adopt precision farming methods, hardware remains the largest and most influential segment. The demand for advanced agricultural equipment continues to drive substantial growth in this category.
The software segment is the fastest-growing in the Smart Agriculture market. This includes farm management software, cloud-based platforms, and AI-driven solutions that help farmers analyze data, optimize resource usage, and improve decision-making. As agriculture becomes more data-driven, software is critical in enabling farmers to integrate insights from various sources, such as sensors and drones. It allows for efficient management of operations, from irrigation to crop health monitoring. With the growing emphasis on precision farming and sustainable practices, software is rapidly evolving to meet these needs, driving significant growth in the sector as farmers look to harness the power of technology.
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Research Associate at Cognitive Market Research
Pratik Shirsath is an accomplished Research Analyst with extensive expertise in the agriculture sector, bringing over one years of experience in market research and analysis. Pratik specializes in secondary research, competitive benchmarking, and data-driven insights that empower organizations to make strategic decisions and achieve their goals.
In his current role, Pratik leads research projects focused on the agriculture sector, driving initiatives that identify emerging market trends, assess competitive landscapes, and uncover growth opportunities. His proficiency in designing effective research methodologies and translating complex data into actionable strategies has consistently supported his organization’s objectives.
Pratik's dedication to delivering high-quality research and his in-depth knowledge of the agriculture industry have made him a trusted resource for his team and stakeholders. Passionate about innovation and sustainability in agriculture, he remains committed to advancing his expertise to navigate the evolving challenges and opportunities in the sector.
Pratik Shirsath is an accomplished Research Analyst with extensive expertise in the agriculture sector, bringing over one years of experience in market research and analysis. Pratik specializes in secondary research, competitive benchmarking, and data-driven insights that empower organizations to make strategic decisions and achieve their goals.
In his current role, Pratik leads research projects focused on the agriculture sector, driving initiatives that identify emerging market trends, assess competitive landscapes, and uncover growth opportunities. His proficiency in designing effective research methodologies and translating complex data into actionable strategies has consistently supported his organization’s objectives.
Pratik's dedication to delivering high-quality research and his in-depth knowledge of the agriculture industry have made him a trusted resource for his team and stakeholders. Passionate about innovation and sustainability in agriculture, he remains committed to advancing his expertise to navigate the evolving challenges and opportunities in the sector.
Conclusion
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Cropin Technology, a global Agtech company, has launched 'ak?ara', the first purpose-built open-source Micro Language Model (µ-LM) for climate-smart agriculture. The model aims to address the challenges faced by underserved farming communities in the Global South by removing knowledge barriers and empowering anyone in the agriculture ecosystem to build frugal and scalable AI solutions. The first version of ak?ara will cover nine crops, including paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybean, and millets, for five countries in the Indian subcontinent. Cropin aims to bridge the gap between farmers and the world's increasing demand for sufficient, safe, and nutritious food, particularly in the Global South. The model uses GenAI to provide insights into modern farming practices, accurate information, and farm advisories. The initiative also demonstrates Cropin's commitment to sharing knowledge and ethical use of AI for agriculture. The model's design process was guided by Google's People + AI Guidebook and discussions with Google's Responsible AI team to ensure alignment with key responsible AI principles, reduce biases, promote sustainable agricultural practices, and ensure equitable distribution of benefits across farming communities in the Global South. Croppin is reaffirming its leadership in AI for food systems, aiming to make AI accessible to everyone in the ecosystem, including academia, development agencies, governments, and agricultural enterprises. The goal is to enable AI investments to have a significant impact and make AI accessible to everyone in the ecosystem, starting with smallholders in the Global South.
Pupuk Indonesia has chosen Snowflake Data Cloud to deliver smart farming technologies to its small farmers. The platform allows Pupuk Indonesia to handle large amounts of structured, semi-structured, and unstructured data needed for detailed customer profiling models. Analytics on data like plant health, soil conditions, and weather reports optimize fertilizer and plant nutrient delivery, enabling precision farming for customers. Indonesia is one of the world's largest agricultural producers and exporters, supplying commodities like palm oil, natural rubber, cocoa, coffee, rice, and spices. Pupuk Indonesia aims to help farmers achieve the best productivity by leveraging technology and data. The company's data infrastructure was previously an on-premises data lake, which relied heavily on manual tasks. Snowflake's simplicity of use and low maintenance requirements have exceeded expectations, allowing Pupuk Indonesia to deliver more accurate insights and accelerate projects. The transition to the cloud has also democratized data within the organization, with 40 employees empowered as citizen data analysts.
Cropin Technology, a Google-backed agritech startup, has launched 'ak?ara', a purpose-built open-source Micro Language Model (MLM) for climate-smart agriculture. The MLM aims to address the challenges faced by underserved farming communities in the Global South and remove barriers to knowledge. The model is designed to help anyone in the agricultural ecosystem build frugal and scalable AI solutions for the sector. Cropin's AI team used Google's People + AI Guidebook and discussions with Google's Responsible AI team to guide the model's design process. The first version of ak?ara will cover nine crops - paddy, wheat, maize, sorghum, barley, cotton, sugarcane, soybean, and millets - for five countries in the Indian subcontinent. Cropin's commitment to leading the tech-driven agricultural movement in the years ahead is evident, as it is also looking to collaborate with industry players and academia to accelerate its vision of a more digitally empowered, data and AI-driven agriculture landscape worldwide.
The U.S. Department of Agriculture is providing $1.5 billion to farmers for fiscal 2024 through the Regional Conservation Partnership Program. The funding, secured from the Farm Bill and Inflation Reduction Act, is available through the USDA's Regional Conservation Partnership Program, which supports conservation activities by farmers, ranchers, and landowners. The USDA is working to streamline and simplify the program after unprecedented demand last year. Project proposals can be submitted to the USDA through July 2. Last year, the USDA awarded over $1 billion for 81 Regional Conservation Partnership Program projects focusing on water, land, and climate strategies. This funding comes after an environmental activist group challenged the merit of the USDA's Environmental Quality Incentives Program, claiming that the program mostly funds projects like fencing, irrigation, and livestock waste management, which arguably do not reduce greenhouse gas emissions. A USDA spokesperson defended the report, stating that it was "flawed" and failed to account for the agency's science-based methodology when determining what should receive funding.
Disclaimer:
Type Outlook: | Precision farming, Livestock monitoring, Smart greenhouse, Others |
Offering Outlook: | Hardware, Software, Type |
List of Competitors | John Deere, Trimble Inc., AG Leader Technology, AGCO Corporation, Monsanto (Bayer), Deere & Company, Kubota Corporation, Topcon Positioning Systems, Raven Industries, Syngenta, Lemken GmbH & Co. KG, BASF SE, Phantom Intelligence, TeeJet Technologies, Davis Instruments |
This chapter will help you gain GLOBAL Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Global Smart Agriculture Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review North America Smart Agriculture Market Split by various segments and Country Split.
Chapter 2 North America Market Analysis
This chapter will help you gain Europe Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Europe Smart Agriculture Market Split by various segments and Country Split.
Chapter 3 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Asia Pacific Smart Agriculture Market Split by various segments and Country Split.
Chapter 4 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review South America Smart Agriculture Market Split by various segments and Country Split.
Chapter 5 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Middle East Smart Agriculture Market Split by various segments and Country Split.
Chapter 6 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of Smart Agriculture. Further deep in this chapter, you will be able to review Middle East Smart Agriculture Market Split by various segments and Country Split.
Chapter 7 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of Smart Agriculture. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Type Outlook: Analysis 2019 -2031, will provide market size split by Type Outlook:. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Type Outlook: Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Offering Outlook: Analysis 2021 - 2033
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Smart Agriculture market
Chapter 12 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 13 Research Methodology and Sources
Why Precision farming have a significant impact on Smart Agriculture market? |
What are the key factors affecting the Precision farming and Livestock monitoring of Smart Agriculture Market? |
What is the CAGR/Growth Rate of Hardware during the forecast period? |
By type, which segment accounted for largest share of the global Smart Agriculture Market? |
Which region is expected to dominate the global Smart Agriculture Market within the forecast period? |
Segmentation Level Customization |
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Global level Data Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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Service Level Customization |
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Report Format Alteration |
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