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Agriculture Analytics Market size was recorded at USD 6.0 Billion in 2023 and is expected to Reach USD 18.31 Billion in 2032 and grow at a CAGR of 13.2% over the forecast period of 2024-2032.
An increase in food demands and, the development of technology at a faster rate worldwide will drive the Agriculture Analytics market. United Nations predicted a population of 9.5 to 10 billion inhabitants by the year 2050, the major concern arises with the efficient agriculture technique to boost production to fulfill the demand. Additionally, the growing trend among farmland owners to deploy weather data analytics, crop growth monitoring, land preparation, etc. offered by different vendors further helps them in optimizing their agriculture activities.
Using modern technology, the market for agricultural drones has expanded to become a new industry within the agriculture sector, altering traditional farming practices. Advanced sensors and imaging capabilities of unmanned aerial vehicles (UAVs) are revolutionizing precision farming, farm management, and crop monitoring. 3, 92,468 recreational drones and 3, 83,303 commercial drones are registered in the US, according to the Federal Aviation Administration. Moreover, the efficiency of agriculture has increased in sectors like livestock and agricultural field analysis thanks to contemporary technologies like big data, artificial intelligence (AI), and the Internet of Things (IoT). According to a survey, artificial intelligence is expected to earn up to $1.67 billion in revenue by 2023 and is expected to expand significantly. For Instance, in the past year, the World Economic Forum India's Centre for the Fourth Industrial Revolution, in collaboration with India’s Union Ministry of Agriculture and the state of Telangana, launched the AI4AI initiative (AI for Agriculture Innovation). Reflecting the complexity of the challenge, organizations involved come from industry (agri-inputs, consumer, food processing, finance, insurance, and technology firms), the startup ecosystem, and farmer cooperatives.
According to statistics by the Food and Agriculture Organization of the United Nations, India holds the second largest position in the production of grains, fruits and vegetables. So, the green revolution and integration of advanced technologies in farming have boosted the ideas of startups such as BigHaat, Agrostar, BharatAgri, DeHaat, etc. with multi-billion dollars, and expected to gain a market opportunity of around $ 24 Billion in 2025. Indian Govt. has also invested 77% of its agriculture budgets especially the budgets for the three programs, Pradhan Mantri Kisan Samman Nidhi (PM-KISAN), Fasal Bima, and Interest Subsidy (for short-term lending), where the investment is projected to be approximately Rs. 60,000 crores in 2022–2023.
In addition to developments, the twelve grants totaling over $7 million have been given by the U.S. Department of Agriculture's (USDA) National Institute of Food and Agriculture to start research on big data analytics, machine learning, artificial intelligence, knowledge discovery in databases, and predictive technologies. These awards are a part of the AFRI Grants, namely the USDA-NIFA Food and Agriculture Cyberinformatics Program.
KEY DRIVERS
Growing need for optimal resource utilization for crop yield and an increasing need for precision agriculture.
In the agriculture analytics market, the use of Drone survey methods and AI-integrated devices in agriculture has made the use of resources efficient and cost-effective and also reduced crop loss by 40-50% as compared to the traditional method. The use of big data has made it easier for farmers to analyze rain patterns, water cycles for crops, and fertilizer requirements, which also reduces the resource wastage and cost associated with it. With this Precision farming is also booming with farm management systems, global positioning, and providing an overall integrated approach to optimize land, water fuel, and fertilizers. GPS and GIS data integrate with zoning real-time position information monitoring accompanied by the sensors connected to monitor soil, crop, and pest conditions where they exist.
Several prominent firms are involved in the precision farming industry in the United States, such as Ag Leader Technology, AgJunction, Inc., CropMetrics LLC, AGCO Corporation, Raven Industries Inc., AgEagle Aerial Systems Inc. (Agribotix LLC), and so on.
RESTRAIN
operation and maintenance.
The adoption of agriculture analytics is hindered by data privacy and security concerns, including evolving regulations and farmers' apprehensions about unauthorized data access. Compliance, transparency, encryption, and strict access controls are crucial for building trust and enabling secure data sharing. Proactive data protection measures and alignment with privacy policies are essential for the agriculture sector to fully leverage the benefits of data-driven insights. As India, comes under the top 5 breaches countries that is why Evolving data privacy regulations, such as the EU's GDPR and India's DPDP Act, impose strict requirements around data collection, processing, and sharing. Complying with these regulations can make it challenging and costly for agriculture companies to gather and share the data needed for analytics.
OPPORTUNITY
Expansion of the Analytics market with the adoption of advanced agriculture techniques with the combination of Traditional ones.
CHALLENGES
High costs associated with the installation of advanced technology and lack of Infrastructure in developing countries
KEY MARKET SEGMENTATION
By Agriculture Type
Livestock Framing
Aquaculture Farming
Precision Farming
Vertical Farming
Others
In this segmentation, Precision Farming led the market with around 40% of the market share in 2023. The growing adoption of the Internet of Things (IoT), and advanced analytical Tools, to drive information and plan the work accordingly. This market is on the boom, as it allows farmers to analyze real-time data to reduce crop loss and also analyze the weather forecast. Many Giant companies are moving forward to enter into precision farming like Deere & Company (John Deere), a Leading supplier of digital farming tools and equipment, John Deere offers a variety of precision agriculture technology, such as automated tractors, GPS guidance systems, and farm management software.
By Offering
Solution
Services
In 2023, the Service segment led the market with a major revenue share of around 55%. The increase is being brought about by end-users when it comes to using advanced farm analytical devices. The under-qualified expertise is anticipated to catalyze the service segment of the market. The growth of this segment is supported by the essential services offered by analytical solution providers such as training, consulting system integration & implementation. This helps remove complexity for customers to deploy advanced farm analytics solutions and reduce the knowledge gap, enabling services-driven utilization of these technologies.
There are various training programs are also launched by the agriculture department to train rural people about the use of advanced gadgets in the field (like the KISAN SARATHI Digital Platform, to ask for any query 24*7) and also provide subsidies to purchase if needed, For purchasing and demonstrating drones on farmers' fields, Sub-Mission on Agricultural Mechanization (SMAM) offers financial assistance equal to 100% of the drone's cost, up to a maximum of Rs. 10 lakhs per drone.
By Farm- Size
Small Farm
Medium Farm
Large Farm
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By End-User
End-user type
Agronomist
Farmers
Agribusiness
Agriculture Research
Government Agencies
Others (Insurance Assessors, Drone services, Consumers)
In this segmentation, the Agronomists segment holds the major market share of around 35% in 2023. They are specialists trained in the science and practice of crop production, soil management, and land utilization. The key to agriculture analytics is data-driven decision-making in agriculture to increase profit and productivity while preserving the environment of our planet. Agronomists are those people working very closely with farmers, offering expert opinions on different issues in crop production. The use of agriculture analytics to analyze data coming from the field, e.g. soil sample and precipitation records, crop results, etc. This data can be used by agronomists to evaluate the fertility of the soil, nutrients lacking in the soil, and diseases or bugs, so they can provide specific advice on crop protection to the growers.
Region Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
REGIONAL ANALYSIS
North America contributed the majority of the global market share and recorded 44.07% in revenue on year especially with adaption to highly advanced technologies in a few decades. The area has become a first mover in technology, rising initiatives by the government in favor of next-generation farming and higher structure spending have supplemented the regional market to be a high-revenue generating ecosystem. In addition, in May 2022 the Government of Canada announced an investment of USD 4, 41,917.5 to establish a comprehensive and accurate fruit tree farming system. The funding was also meant to identify sustainable solutions for ongoing challenges facing the apple industry in Canada.
In-Line with that, the market for precision farming in the United States is anticipated to grow in the upcoming years as a result of supportive government measures. To raise awareness among farmers, the U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA) runs initiatives utilizing sensors, precision technologies, and geospatial data. NIFA assists farmers in the development of durable sensors, related software, and instruments for the modeling, observation, and analysis of a wide range of intricate biological materials and processes in collaboration with Land-Grand universities.
Furthermore, the Asia Pacific is anticipated to expand at a significant rate in the forecasted period. In addition, several government programs in countries including Sri Lanka and Nigeria along with India are promoting modern precision farming technologies to improve overall yield.
KEY PLAYERS
The major players in the Agriculture Analytics Market are Grownetics, Inc., Ag Leader Technology, CropMetrics LLC, Trimble, Inc., AgJunction, Inc., AGCO Corporation, Raven Industries Inc., Deere and Company, Topcon Corporation, AgEagle Aerial Systems Inc. (Agribotix LLC), DICKEY-john Corporation, Farmers Edge Inc., Proagrica (SST Development Group, Inc.), The Climate Corporation and other players.
RECENT DEVELOPMENTS
In July 2023, Global producer of construction and agricultural equipment Deere & Company purchased Smart Apply Inc., a provider of agricultural technology solutions. Their primary goal is to give farmers an intelligent spraying solution by giving them a means to assist producers in overcoming obstacles related to labor, cost, and other factors. The purchase is intended to help the business in its efforts to attract new clients
In April 2023, AGCO Corporation, and Hexagon an industrial technology solutions provider announced collaboration. This cooperative development's main focus is to advance AGCO factory-fit and aftermarket guidance products.
In May 2023, AgEagle Aerial Systems Inc., a global leader in drone technology and solutions for the agriculture industry, established the creation of a new supply agreement with Wingtra AG. The 2-year supply agreement will help ensure that the supply of RedEdge-P sensor kits for incorporation with WingtraOne VTOL drones.
| Report Attributes | Details |
| Market Size in 2023 | US$ 6 Bn |
| Market Size by 2032 | US$ 18.31 Bn |
| CAGR | CAGR of 13.2% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Agriculture Type (Livestock Framing, Aquaculture Farming, Precision Farming, Vertical Farming, Others) • By offerings (Solution, Services) • By Farm- Size (Small Farm, Medium Farm,Large Farm) • By End-User (End-user type, Agronomist, Farmers, Agribusiness, Agriculture Research, Government Agencies, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Climate Corporation, Trimble Inc., Deere & Company, IBM Corporation, AGCO Corporation, SST Software, Iteris Inc, Taranis, Agribotix LLC, Precision Hawk |
| Key Drivers | • Growing need for optimal resource utilization for crop yield and an increasing need for precision agriculture. |
| Market Restraints | • Increasing concerns related to data privacy and lack of skills related to operation and maintenance. |
Ans. The Compound Annual Growth rate for Agriculture Analytics Market over the forecast period is 13.2 %.
Ans. USD 18.31 Billion is the projected Agriculture Analytics Market size of the Company by 2032.
Ans. The top key players in the Agriculture Analytics market are Climate Corporation, Trimble Inc., Deere & Company, IBM Corporation, AGCO Corporation, SST Software, Iteris Inc, Taranis, Agribotix LLC, Precision Hawk. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry
Ans. Agriculture analytics, also known as agricultural data analytics or precision agriculture analytics, refers to the use of data science, statistical analysis, and advanced technologies to gather, process, and analyze agricultural data for informed decision-making in farming and agricultural operations.
Ans. The agriculture analytics market was experiencing rapid growth and innovation. Here are some potential upcoming trends in the agriculture analytics market. Integration of AI and Machine Learning, Edge Computing for Real-Time Insights, Expansion of IoT and Sensor Networks, Blockchain for Supply Chain Transparency, Predictive Analytics for Risk Management.
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Porter’s 5 Forces Model
6. Pest Analysis
7. Agriculture Analytics Market Segmentation, By Agriculture Type
7.1 Introduction
7.2 Livestock Framing
7.3 Aquaculture Farming
7.4 Precision Farming
7.5 Vertical Farming
7.6 Others
8. Agriculture Analytics Market Segmentation, By Offerings
8.1 Introduction
8.2 Solutions
8.3 Services
9. Agriculture Analytics Market Segmentation, By Farm-size
9.1 Introduction
9.2 Small Farm
9.3 Medium Farm
9.4 Large Farm
10. Agriculture Analytics Market Segmentation, By End-users
10.1 Introduction
10.2 End-user type
10.3 Agronomist
10.4 Farmers
10.5 Agribusiness
10.7 Agriculture Research
10.8 Government Agencies
10.9 Others (Insurance Assessors, Drone services, Consumers)
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 Trend Analysis
11.2.2 North America Agriculture Analytics Market By Country
11.2.3 North America Agriculture Analytics Market By Agriculture Type
11.2.4 North America Agriculture Analytics Market By Offerings
11.2.5 North America Agriculture Analytics Market By Farm-size
11.2.6 North America Agriculture Analytics Market By End-users
11.2.7 USA
11.2.7.1 USA Agriculture Analytics Market By Agriculture Type
11.2.7.2 USA Agriculture Analytics Market By Offerings
11.2.7.3 USA Agriculture Analytics Market By Farm-size
11.2.7.4 USA Agriculture Analytics Market By End-users
11.2.8 Canada
11.2.8.1 Canada Agriculture Analytics Market By Agriculture Type
11.2.8.2 Canada Agriculture Analytics Market By Offerings
11.2.8.3 Canada Agriculture Analytics Market By Farm-size
11.2.8.4 Canada Agriculture Analytics Market By End-users
11.2.9 Mexico
11.2.9.1 Mexico Agriculture Analytics Market By Agriculture Type
11.2.9.2 Mexico Agriculture Analytics Market By Offerings
11.2.9.3 Mexico Agriculture Analytics Market By Farm-size
11.2.9.4 Mexico Agriculture Analytics Market By End-users
11.3 Europe
11.3.1 Trend Analysis
11.3.2 Eastern Europe
11.3.2.1 Eastern Europe Agriculture Analytics Market By Country
11.3.2.2 Eastern Europe Agriculture Analytics Market By Agriculture Type
11.3.2.3 Eastern Europe Agriculture Analytics Market By Offerings
11.3.2.4 Eastern Europe Agriculture Analytics Market By Farm-size
11.3.2.5 Eastern Europe Agriculture Analytics Market By End-users
11.3.2.6 Poland
11.3.2.6.1 Poland Agriculture Analytics Market By Agriculture Type
11.3.2.6.2 Poland Agriculture Analytics Market By Offerings
11.3.2.6.3 Poland Agriculture Analytics Market By Farm-size
11.3.2.6.4 Poland Agriculture Analytics Market By End-users
11.3.2.7 Romania
11.3.2.7.1 Romania Agriculture Analytics Market By Agriculture Type
11.3.2.7.2 Romania Agriculture Analytics Market By Offerings
11.3.2.7.3 Romania Agriculture Analytics Market By Farm-size
11.3.2.7.4 Romania Agriculture Analytics Market By End-users
11.3.2.8 Hungary
11.3.2.8.1 Hungary Agriculture Analytics Market By Agriculture Type
11.3.2.8.2 Hungary Agriculture Analytics Market By Offerings
11.3.2.8.3 Hungary Agriculture Analytics Market By Farm-size
11.3.2.8.4 Hungary Agriculture Analytics Market By End-users
11.3.2.9 Turkey
11.3.2.9.1 Turkey Agriculture Analytics Market By Agriculture Type
11.3.2.9.2 Turkey Agriculture Analytics Market By Offerings
11.3.2.9.3 Turkey Agriculture Analytics Market By Farm-size
11.3.2.9.4 Turkey Agriculture Analytics Market By End-users
11.3.2.10 Rest of Eastern Europe
11.3.2.10.1 Rest of Eastern Europe Agriculture Analytics Market By Agriculture Type
11.3.2.10.2 Rest of Eastern Europe Agriculture Analytics Market By Offerings
11.3.2.10.3 Rest of Eastern Europe Agriculture Analytics Market By Farm-size
11.3.2.10.4 Rest of Eastern Europe Agriculture Analytics Market By End-users
11.3.3 Western Europe
11.3.3.1 Western Europe Agriculture Analytics Market By Country
11.3.3.2 Western Europe Agriculture Analytics Market By Agriculture Type
11.3.3.3 Western Europe Agriculture Analytics Market By Offerings
11.3.3.4 Western Europe Agriculture Analytics Market By Farm-size
11.3.3.5 Western Europe Agriculture Analytics Market By End-users
11.3.3.6 Germany
11.3.3.6.1 Germany Agriculture Analytics Market By Agriculture Type
11.3.3.6.2 Germany Agriculture Analytics Market By Offerings
11.3.3.6.3 Germany Agriculture Analytics Market By Farm-size
11.3.3.6.4 Germany Agriculture Analytics Market By End-users
11.3.3.7 France
11.3.3.7.1 France Agriculture Analytics Market By Agriculture Type
11.3.3.7.2 France Agriculture Analytics Market By Offerings
11.3.3.7.3 France Agriculture Analytics Market By Farm-size
11.3.3.7.4 France Agriculture Analytics Market By End-users
11.3.3.8 UK
11.3.3.8.1 UK Agriculture Analytics Market By Agriculture Type
11.3.3.8.2 UK Agriculture Analytics Market By Offerings
11.3.3.8.3 UK Agriculture Analytics Market By Farm-size
11.3.3.8.4 UK Agriculture Analytics Market By End-users
11.3.3.9 Italy
11.3.3.9.1 Italy Agriculture Analytics Market By Agriculture Type
11.3.3.9.2 Italy Agriculture Analytics Market By Offerings
11.3.3.9.3 Italy Agriculture Analytics Market By Farm-size
11.3.3.9.4 Italy Agriculture Analytics Market By End-users
11.3.3.10 Spain
11.3.3.10.1 Spain Agriculture Analytics Market By Agriculture Type
11.3.3.10.2 Spain Agriculture Analytics Market By Offerings
11.3.3.10.3 Spain Agriculture Analytics Market By Farm-size
11.3.3.10.4 Spain Agriculture Analytics Market By End-users
11.3.3.11 Netherlands
11.3.3.11.1 Netherlands Agriculture Analytics Market By Agriculture Type
11.3.3.11.2 Netherlands Agriculture Analytics Market By Offerings
11.3.3.11.3 Netherlands Agriculture Analytics Market By Farm-size
11.3.3.11.4 Netherlands Agriculture Analytics Market By End-users
11.3.3.12 Switzerland
11.3.3.12.1 Switzerland Agriculture Analytics Market By Agriculture Type
11.3.3.12.2 Switzerland Agriculture Analytics Market By Offerings
11.3.3.12.3 Switzerland Agriculture Analytics Market By Farm-size
11.3.3.12.4 Switzerland Agriculture Analytics Market By End-users
11.3.3.13 Austria
11.3.3.13.1 Austria Agriculture Analytics Market By Agriculture Type
11.3.3.13.2 Austria Agriculture Analytics Market By Offerings
11.3.3.13.3 Austria Agriculture Analytics Market By Farm-size
11.3.3.13.4 Austria Agriculture Analytics Market By End-users
11.3.3.14 Rest of Western Europe
11.3.3.14.1 Rest of Western Europe Agriculture Analytics Market By Agriculture Type
11.3.3.14.2 Rest of Western Europe Agriculture Analytics Market By Offerings
11.3.3.14.3 Rest of Western Europe Agriculture Analytics Market By Farm-size
11.3.3.14.4 Rest of Western Europe Agriculture Analytics Market By End-users
11.4 Asia-Pacific
11.4.1 Trend Analysis
11.4.2 Asia-Pacific Agriculture Analytics Market By Country
11.4.3 Asia-Pacific Agriculture Analytics Market By Agriculture Type
11.4.4 Asia-Pacific Agriculture Analytics Market By Offerings
11.4.5 Asia-Pacific Agriculture Analytics Market By Farm-size
11.4.6 Asia-Pacific Agriculture Analytics Market By End-users
11.4.7 China
11.4.7.1 China Agriculture Analytics Market By Agriculture Type
11.4.7.2 China Agriculture Analytics Market By Offerings
11.4.7.3 China Agriculture Analytics Market By Farm-size
11.4.7.4 China Agriculture Analytics Market By End-users
11.4.8 India
11.4.8.1 India Agriculture Analytics Market By Agriculture Type
11.4.8.2 India Agriculture Analytics Market By Offerings
11.4.8.3 India Agriculture Analytics Market By Farm-size
11.4.8.4 India Agriculture Analytics Market By End-users
11.4.9 Japan
11.4.9.1 Japan Agriculture Analytics Market By Agriculture Type
11.4.9.2 Japan Agriculture Analytics Market By Offerings
11.4.9.3 Japan Agriculture Analytics Market By Farm-size
11.4.9.4 Japan Agriculture Analytics Market By End-users
11.4.10 South Korea
11.4.10.1 South Korea Agriculture Analytics Market By Agriculture Type
11.4.10.2 South Korea Agriculture Analytics Market By Offerings
11.4.10.3 South Korea Agriculture Analytics Market By Farm-size
11.4.10.4 South Korea Agriculture Analytics Market By End-users
11.4.11 Vietnam
11.4.11.1 Vietnam Agriculture Analytics Market By Agriculture Type
11.4.11.2 Vietnam Agriculture Analytics Market By Offerings
11.4.11.3 Vietnam Agriculture Analytics Market By Farm-size
11.4.11.4 Vietnam Agriculture Analytics Market By End-users
11.4.12 Singapore
11.4.12.1 Singapore Agriculture Analytics Market By Agriculture Type
11.4.12.2 Singapore Agriculture Analytics Market By Offerings
11.4.12.3 Singapore Agriculture Analytics Market By Farm-size
11.4.12.4 Singapore Agriculture Analytics Market By End-users
11.4.13 Australia
11.4.13.1 Australia Agriculture Analytics Market By Agriculture Type
11.4.13.2 Australia Agriculture Analytics Market By Offerings
11.4.13.3 Australia Agriculture Analytics Market By Farm-size
11.4.13.4 Australia Agriculture Analytics Market By End-users
11.4.14 Rest of Asia-Pacific
11.4.14.1 Rest of Asia-Pacific Agriculture Analytics Market By Agriculture Type
11.4.14.2 Rest of Asia-Pacific Agriculture Analytics Market By Offerings
11.4.14.3 Rest of Asia-Pacific Agriculture Analytics Market By Farm-size
11.4.14.4 Rest of Asia-Pacific Agriculture Analytics Market By End-users
11.5 Middle East & Africa
11.5.1 Trend Analysis
11.5.2 Middle East
11.5.2.1 Middle East Agriculture Analytics Market By Country
11.5.2.2 Middle East Agriculture Analytics Market By Agriculture Type
11.5.2.3 Middle East Agriculture Analytics Market By Offerings
11.5.2.4 Middle East Agriculture Analytics Market By Farm-size
11.5.2.5 Middle East Agriculture Analytics Market By End-users
11.5.2.6 UAE
11.5.2.6.1 UAE Agriculture Analytics Market By Agriculture Type
11.5.2.6.2 UAE Agriculture Analytics Market By Offerings
11.5.2.6.3 UAE Agriculture Analytics Market By Farm-size
11.5.2.6.4 UAE Agriculture Analytics Market By End-users
11.5.2.7 Egypt
11.5.2.7.1 Egypt Agriculture Analytics Market By Agriculture Type
11.5.2.7.2 Egypt Agriculture Analytics Market By Offerings
11.5.2.7.3 Egypt Agriculture Analytics Market By Farm-size
11.5.2.7.4 Egypt Agriculture Analytics Market By End-users
11.5.2.8 Saudi Arabia
11.5.2.8.1 Saudi Arabia Agriculture Analytics Market By Agriculture Type
11.5.2.8.2 Saudi Arabia Agriculture Analytics Market By Offerings
11.5.2.8.3 Saudi Arabia Agriculture Analytics Market By Farm-size
11.5.2.8.4 Saudi Arabia Agriculture Analytics Market By End-users
11.5.2.9 Qatar
11.5.2.9.1 Qatar Agriculture Analytics Market By Agriculture Type
11.5.2.9.2 Qatar Agriculture Analytics Market By Offerings
11.5.2.9.3 Qatar Agriculture Analytics Market By Farm-size
11.5.2.9.4 Qatar Agriculture Analytics Market By End-users
11.5.2.10 Rest of Middle East
11.5.2.10.1 Rest of Middle East Agriculture Analytics Market By Agriculture Type
11.5.2.10.2 Rest of Middle East Agriculture Analytics Market By Offerings
11.5.2.10.3 Rest of Middle East Agriculture Analytics Market By Farm-size
11.5.2.10.4 Rest of Middle East Agriculture Analytics Market By End-users
11.5.3 Africa
11.5.3.1 Africa Agriculture Analytics Market By Country
11.5.3.2 Africa Agriculture Analytics Market By Agriculture Type
11.5.3.3 Africa Agriculture Analytics Market By Offerings
11.5.3.4 Africa Agriculture Analytics Market By Farm-size
11.5.3.5 Africa Agriculture Analytics Market By End-users
11.5.3.6 Nigeria
11.5.3.6.1 Nigeria Agriculture Analytics Market By Agriculture Type
11.5.3.6.2 Nigeria Agriculture Analytics Market By Offerings
11.5.3.6.3 Nigeria Agriculture Analytics Market By Farm-size
11.5.3.6.4 Nigeria Agriculture Analytics Market By End-users
11.5.3.7 South Africa
11.5.3.7.1 South Africa Agriculture Analytics Market By Agriculture Type
11.5.3.7.2 South Africa Agriculture Analytics Market By Offerings
11.5.3.7.3 South Africa Agriculture Analytics Market By Farm-size
11.5.3.7.4 South Africa Agriculture Analytics Market By End-users
11.5.3.8 Rest of Africa
11.5.3.8.1 Rest of Africa Agriculture Analytics Market By Agriculture Type
11.5.3.8.2 Rest of Africa Agriculture Analytics Market By Offerings
11.5.3.8.3 Rest of Africa Agriculture Analytics Market By Farm-size
11.5.3.8.4 Rest of Africa Agriculture Analytics Market By End-users
11.6 Latin America
11.6.1 Trend Analysis
11.6.2 Latin America Agriculture Analytics Market By Country
11.6.3 Latin America Agriculture Analytics Market By Agriculture Type
11.6.4 Latin America Agriculture Analytics Market By Offerings
11.6.5 Latin America Agriculture Analytics Market By Farm-size
11.6.6 Latin America Agriculture Analytics Market By End-users
11.6.7 Brazil
11.6.7.1 Brazil Agriculture Analytics Market By Agriculture Type
11.6.7.2 Brazil Agriculture Analytics Market By Offerings
11.6.7.3 Brazil Agriculture Analytics Market By Farm-size
11.6.7.4 Brazil Agriculture Analytics Market By End-users
11.6.8 Argentina
11.6.8.1 Argentina Agriculture Analytics Market By Agriculture Type
11.6.8.2 Argentina Agriculture Analytics Market By Offerings
11.6.8.3 Argentina Agriculture Analytics Market By Farm-size
11.6.8.4 Argentina Agriculture Analytics Market By End-users
11.6.9 Colombia
11.6.9.1 Colombia Agriculture Analytics Market By Agriculture Type
11.6.9.2 Colombia Agriculture Analytics Market By Offerings
11.6.9.3 Colombia Agriculture Analytics Market By Farm-size
11.6.9.4 Colombia Agriculture Analytics Market By End-users
11.6.10 Rest of Latin America
11.6.10.1 Rest of Latin America Agriculture Analytics Market By Agriculture Type
11.6.10.2 Rest of Latin America Agriculture Analytics Market By Offerings
11.6.10.3 Rest of Latin America Agriculture Analytics Market By Farm-size
11.6.10.4 Rest of Latin America Agriculture Analytics Market By End-users
12. Company Profiles
12.1 Grownetics, Inc.
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Agricultures Offered
12.1.4 The SNS View
12.2 Ag Leader Technology
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Agricultures Offered
12.2.4 The SNS View
12.3 CropMetrics LLC
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Agricultures Offered
12.3.4 The SNS View
12.4 Trimble, Inc.
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Agricultures Offered
12.4.4 The SNS View
12.5 AgJunction, Inc.
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Agricultures Offered
12.5.4 The SNS View
12.6 AgJunction, Inc.
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Agricultures Offered
12.6.4 The SNS View
12.7 AGCO Corporation
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Agricultures Offered
12.7.4 The SNS View
12.8 Raven Industries Inc.
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Agricultures Offered
12.8.4 The SNS View
12.9 Deere and Company
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Agricultures Offered
12.9.4 The SNS View
12.10 Topcon Corporation
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Agricultures Offered
12.10.4 The SNS View
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions
14. Use Case and Best Practices
15. Conclusion
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Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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