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Agriculture Analytics Market Scope & Overview:

The Agriculture Analytics Market size was USD 1.36 Billion in 2023 and is expected to Reach USD 3.72 Billion by 2031 and grow at a CAGR of 13.4% over the forecast period of 2024-2031.

The agriculture analytics market is expected to grow at a healthy rate in the coming years. Agriculture analytics is the use of data and analytics to improve agricultural production. It is a rapidly growing field, as the world's population grows and the demand for food increases. Agriculture analytics can be used to help farmers make more informed decisions about things like crop selection, planting schedules, and irrigation. This can lead to increased yields, reduced costs, and better environmental outcomes. This growth is being driven by the increasing demand for food, the need for sustainable agriculture, and the growing use of technology in agriculture. Aero Farms is a company that grows crops in vertical farms. These farms are located in urban areas and use artificial lighting and hydroponics to grow crops. Agriculture analytics is used to help Aero Farms optimize their operations and to ensure that they are growing the highest-quality crops. Agriculture analytics can be used to track the movement of food from farm to fork. This can help to ensure that food is safe and that it is produced in a sustainable way. Traceability can also help to protect consumers from food fraud. Agriculture analytics can be used to help farmers adopt more sustainable practices. For example, agriculture analytics can be used to help farmers track their water usage and to identify areas where they can reduce their water consumption. This can help farmers to reduce their environmental impact and to improve their bottom line. Utilizing agriculture analytics, Aero Farms is able to cultivate crops in vertical farms. These urban farms use hydroponics and artificial lighting to cultivate their vegetables. Aero Farms uses agriculture analytics to streamline operations and make sure the highest-quality crops are being grown. Using agriculture analytics, Grove Collaborative is able to follow the data about their crops from seed to sale. Grove Collaborative then uses this information to assist in informing customers about the food they purchase. Future agricultural analytics applications are likely to be much more creative as urban farming becomes more popular.

Agriculture Analytics Market Revenue Analysis

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MARKET DYNAMICS

KEY DRIVERS

  • Increase Adoption of Urban Farming.

  • There is a growing demand for data-driven agriculture.

Consumers are increasingly demanding to know where their food comes from and how it was grown. Agriculture analytics can help farmers to provide this information to consumers by tracking the data about their crops from seed to sale. This information can help consumers to make informed decisions about the food they buy.

RESTRAIN

  • Data quality can be challenging in agriculture Analytics.

  • Shortage of skilled professionals who can use agriculture analytics solutions. This can make it difficult for farmers to implement and use these solutions.

The quality of data is essential for agriculture analytics. This is because agricultural data is often collected from a variety of sources, and it can be difficult to ensure that the data is accurate, Precise and consistent

OPPORTUNITY

  • Educate farmers in the use of agricultural analytics to Create Opportunities for Future Growth.

  • Use Precision agriculture data and technology to improve agricultural production This can lead to increased yields, reduced costs, and better environmental outcomes.

For farmers who are interested in learning how to use agriculture analytics, there are an increasing variety of training options available. These learning opportunities can assist farmers in adopting and utilizing agro analytics technologies, as well as in overcoming their reluctance to change.

CHALLENGES

  • Resistance to change can be Challenging in Agriculture Analytics.

Some farmers are resistant to change, and they may be reluctant to adopt new technologies, such as agriculture analytics. This can be a challenge for the adoption of agriculture analytics.

IMPACT OF RUSSIA-UKRAINE WAR

The market for Agriculture analytics has been significantly impacted by the Russian-Ukrainian conflict. The war has exacerbated market uncertainty for agriculture globally, making it challenging for companies to anticipate sales and set quotas. The market for agriculture analytics is anticipated to slow down in the upcoming years as a result of these issues. A business called Farmers Business Network assists farmers in gathering and analysing information about their crops. The battle has reduced the company's revenue since farmers are reluctant to invest in new technologies. Crops are grown in vertical farms by a firm called Aero Farms. The war has impacted the company's revenue since it has hampered the delivery of inputs like seeds.

IMPACT OF ONGOING RECESSION

The recession has led to decreased demand for products and services, which has had a negative impact on sales. Here are some specific examples of how the recession has impacted the agriculture analytics market. Farmers Business Network's revenue decreased by 15% in the first quarter of 223. Grove Collaborative is a company that helps consumers buy sustainable products. The company's revenue has been affected by the recession, as the recession has disrupted the supply of sustainable products. Grove Collaborative's revenue decreased by 5% in the first quarter of 2023. During a recession, agricultural businesses could become more risk-averse and reluctant to spend money on innovative products or techniques. Decision-making procedures could become slower, which would impact analytics companies' sales cycles. Despite the difficulties, economic downturns can also present chances for businesses that can provide creative and economical solutions. During difficult economic circumstances, agriculture analytics suppliers who can show a definite ROI and long-term advantages may still see growth.

KEY MARKET SEGMENTATION

By Agriculture Type  

By Component

  • Solution

  • Services

By Deployment

  • On-Premise

  • Cloud

By Technology

  • Remote Sensing

  • Robotics

  • GIS

  • Automation

Agriculture Analytics Market Segmentation Analysis

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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 has been a leading region in adopting advanced agricultural technologies. A key figure in the development in adoption of innovative agricultural technologies, particularly agriculture analytics, is North America. About 45% to 50% of the global market for agriculture analytics is in North America. The agriculture analytics market has expanded as a result of the region's highly developed agricultural industry, significant R&D expenditures, and emphasis on precision agriculture. Key Elements driving North American economic growth high rate of use of precision farming techniques. Access to cutting-edge infrastructure and technologies. increased emphasis on the conservation of resources and sustainability in agriculture. government programs and policies that encourage agricultural innovation.

The Asia-Pacific region is one of the largest agricultural regions globally, with a substantial portion of the global population engaged in farming. As a result, there is immense potential for agriculture analytics to address challenges related to food security, yield optimization, and resource management. Percentage of the Global Agriculture Analytics Market in Asia-Pacific Approximately 35%-40. Key Factors Driving Growth in Asia-Pacific Large agricultural base and growing population. Increasing awareness and adoption of precision farming technologies. Rising need to enhance agricultural productivity and sustainability. Government initiatives and investments in agricultural modernization. Integration of IoT and AI technologies in agriculture.

KEY PLAYERS

The major 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 and other players.

Climate Corporation-Company Financial Analysis

Company Landscape Analysis

RECENT DEVELOPMENTS

DTN: In February 2023, DTN announced a partnership with Climate Corporation to offer farmers access to Climate's weather and climate data.

Trimble: In January 2023, Trimble announced the launch of its new AgTech Insights platform, which provides farmers with access to data and insights to help them make better decisions.

Agriculture Analytics Market Report Scope:

Report Attributes Details
Market Size in 2023  US$1.36 Bn
Market Size by 2031  US$ 3.72 Bn
CAGR   CAGR of 13.4% From 2024 to 2031
Base Year 2023
Forecast Period  2024-2031
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 (Precision Farming, Vertical Farming, Livestock Farming)
• By Component (Solution, Services)
• By Deployment Mode (On-Premise and Cloud)
• By Technology (Remote Sensing, Robotics, GIS, Automation)
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 • Increase Adoption of Urban Farming.
• There is a growing demand for data-driven agriculture.
Market Restraints • Data quality can be challenging in agriculture Analytics.
• Shortage of skilled professionals who can use agriculture analytics solutions. This can make it difficult for farmers to implement and use these solutions.

 

Frequently Asked Questions

Ans. The Compound Annual Growth rate for Agriculture Analytics Market over the forecast period is 13.5 %.

Ans. USD 3.5 Billion is the projected Agriculture Analytics Market size of the Company by 2030.

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 Company Definition
1.2 Scope
1.3 Research Assumptions

2. Research Methodology

3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges

4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World

5. Value Chain Analysis

6. Porter’s 5 forces model

7. PEST Analysis

8.Agriculture Analytics Market Segmentation, by Agriculture Type
8.1Precision Farming
8.2Vertical Farming
8.3Livestock Farming

9.Agriculture Analytics Market Segmentation, by Component
9.1Solution
9.2Services

10.Agriculture Analytics Market Segmentation, by Deployment
10.1On-Premise
10.2Cloud

11.Agriculture Analytics Market Segmentation, by Technology
11.1Remote Sensing
11.2Robotics
11.3 GIS
11.4Automation

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Agriculture Analytics Market by Country
12.2.2North America Agriculture Analytics Market by Agriculture Type
12.2.3 North America Agriculture Analytics Market by Component
12.2.4 North America Agriculture Analytics Market by Deployment
12.2.5 North America Agriculture Analytics Market by Technology
12.2.6 USA
12.2.6.1 USA Agriculture Analytics Market by Agriculture Type
12.2.6.2 USA Agriculture Analytics Market by Component
12.2.6.3 USA Agriculture Analytics Market by Deployment
12.2.6.4 USA Agriculture Analytics Market by Technology
12.2.7 Canada
12.2.7.1 Canada Agriculture Analytics Market by Agriculture Type
12.2.7.2 Canada Agriculture Analytics Market by Component
12.2.7.3 Canada Agriculture Analytics Market by Deployment
12.2.7.4 Canada Agriculture Analytics Market by Technology
12.2.8 Mexico
12.2.8.1 Mexico Agriculture Analytics Market by Agriculture Type
12.2.8.2 Mexico Agriculture Analytics Market by Component
12.2.8.3 Mexico Agriculture Analytics Market by Deployment
12.2.8.4 Mexico Agriculture Analytics Market by Technology
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Agriculture Analytics Market by Country
12.3.1.2 Eastern Europe Agriculture Analytics Market by Agriculture Type
12.3.1.3 Eastern Europe Agriculture Analytics Market by Component
12.3.1.4 Eastern Europe Agriculture Analytics Market by Deployment
12.3.1.5 Eastern Europe Agriculture Analytics Market by Technology
12.3.1.6 Poland
12.3.1.6.1 Poland Agriculture Analytics Market by Agriculture Type
12.3.1.6.2 Poland Agriculture Analytics Market by Component
12.3.1.6.3 Poland Agriculture Analytics Market by Deployment
12.3.1.6.4 Poland Agriculture Analytics Market by Technology
12.3.1.7 Romania
12.3.1.7.1 Romania Agriculture Analytics Market by Agriculture Type
12.3.1.7.2 Romania Agriculture Analytics Market by Component
12.3.1.7.3 Romania Agriculture Analytics Market by Deployment
12.3.1.7.4 Romania Agriculture Analytics Market by Technology
12.3.1.8 Hungary
12.3.1.8.1 Hungary Agriculture Analytics Market by Agriculture Type
12.3.1.8.2 Hungary Agriculture Analytics Market by Component
12.3.1.8.3 Hungary Agriculture Analytics Market by Deployment
12.3.1.8.4 Hungary Agriculture Analytics Market by Technology
12.3.1.9 Turkey
12.3.1.9.1 Turkey Agriculture Analytics Market by Agriculture Type
12.3.1.9.2 Turkey Agriculture Analytics Market by Component
12.3.1.9.3 Turkey Agriculture Analytics Market by Deployment
12.3.1.9.4 Turkey Agriculture Analytics Market by Technology
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Agriculture Analytics Market by Agriculture Type
12.3.1.10.2 Rest of Eastern Europe Agriculture Analytics Market by Component
12.3.1.10.3 Rest of Eastern Europe Agriculture Analytics Market by Deployment
12.3.1.10.4 Rest of Eastern Europe Agriculture Analytics Market by Technology
12.3.2 Western Europe
12.3.2.1 Western Europe Agriculture Analytics Market by Country
12.3.2.2 Western Europe Agriculture Analytics Market by Agriculture Type
12.3.2.3 Western Europe Agriculture Analytics Market by Component
12.3.2.4 Western Europe Agriculture Analytics Market by Deployment
12.3.2.5 Western Europe Agriculture Analytics Market by Technology
12.3.2.6 Germany
12.3.2.6.1 Germany Agriculture Analytics Market by Agriculture Type
12.3.2.6.2 Germany Agriculture Analytics Market by Component
12.3.2.6.3 Germany Agriculture Analytics Market by Deployment
12.3.2.6.4 Germany Agriculture Analytics Market by Technology
12.3.2.7 France
12.3.2.7.1 France Agriculture Analytics Market by Agriculture Type
12.3.2.7.2 France Agriculture Analytics Market by Component
12.3.2.7.3 France Agriculture Analytics Market by Deployment
12.3.2.7.4 France Agriculture Analytics Market by Technology
12.3.2.8 UK
12.3.2.8.1 UK Agriculture Analytics Market by Agriculture Type
12.3.2.8.2 UK Agriculture Analytics Market by Component
12.3.2.8.3 UK Agriculture Analytics Market by Deployment
12.3.2.8.4 UK Agriculture Analytics Market by Technology
12.3.2.9 Italy
12.3.2.9.1 Italy Agriculture Analytics Market by Agriculture Type
12.3.2.9.2 Italy Agriculture Analytics Market by Component
12.3.2.9.3 Italy Agriculture Analytics Market by Deployment
12.3.2.9.4 Italy Agriculture Analytics Market by Technology
12.3.2.10 Spain
12.3.2.10.1 Spain Agriculture Analytics Market by Agriculture Type
12.3.2.10.2 Spain Agriculture Analytics Market by Component
12.3.2.10.3 Spain Agriculture Analytics Market by Deployment
12.3.2.10.4 Spain Agriculture Analytics Market by Technology
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Agriculture Analytics Market by Agriculture Type
12.3.2.11.2 Netherlands Agriculture Analytics Market by Component
12.3.2.11.3 Netherlands Agriculture Analytics Market by Deployment
12.3.2.11.4 Netherlands Agriculture Analytics Market by Technology
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Agriculture Analytics Market by Agriculture Type
12.3.2.12.2 Switzerland Agriculture Analytics Market by Component
12.3.2.12.3 Switzerland Agriculture Analytics Market by Deployment
12.3.2.12.4 Switzerland Agriculture Analytics Market by Technology
12.3.2.13 Austria
12.3.2.13.1 Austria Agriculture Analytics Market by Agriculture Type
12.3.2.13.2 Austria Agriculture Analytics Market by Component
12.3.2.13.3 Austria Agriculture Analytics Market by Deployment
12.3.2.13.4 Austria Agriculture Analytics Market by Technology
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Agriculture Analytics Market by Agriculture Type
12.3.2.14.2 Rest of Western Europe Agriculture Analytics Market by Component
12.3.2.14.3 Rest of Western Europe Agriculture Analytics Market by Deployment
12.3.2.14.4 Rest of Western Europe Agriculture Analytics Market by Technology
12.4 Asia-Pacific
12.4.1 Asia Pacific Agriculture Analytics Market by Country
12.4.2 Asia Pacific Agriculture Analytics Market by Agriculture Type
12.4.3 Asia Pacific Agriculture Analytics Market by Component
12.4.4 Asia Pacific Agriculture Analytics Market by Deployment
12.4.5 Asia Pacific Agriculture Analytics Market by Technology
12.4.6 China
12.4.6.1 China Agriculture Analytics Market by Agriculture Type
12.4.6.2 China Agriculture Analytics Market by Component
12.4.6.3 China Agriculture Analytics Market by Deployment
12.4.6.4 China Agriculture Analytics Market by Technology
12.4.7 India
12.4.7.1 India Agriculture Analytics Market by Agriculture Type
12.4.7.2 India Agriculture Analytics Market by Component
12.4.7.3 India Agriculture Analytics Market by Deployment
12.4.7.4 India Agriculture Analytics Market by Technology
12.4.8 Japan
12.4.8.1 Japan Agriculture Analytics Market by Agriculture Type
12.4.8.2 Japan Agriculture Analytics Market by Component
12.4.8.3 Japan Agriculture Analytics Market by Deployment
12.4.8.4 Japan Agriculture Analytics Market by Technology
12.4.9 South Korea
12.4.9.1 South Korea Agriculture Analytics Market by Agriculture Type
12.4.9.2 South Korea Agriculture Analytics Market by Component
12.4.9.3 South Korea Agriculture Analytics Market by Deployment
12.4.9.4 South Korea Agriculture Analytics Market by Technology
12.4.10 Vietnam
12.4.10.1 Vietnam Agriculture Analytics Market by Agriculture Type
12.4.10.2 Vietnam Agriculture Analytics Market by Component
12.4.10.3 Vietnam Agriculture Analytics Market by Deployment
12.4.10.4 Vietnam Agriculture Analytics Market by Technology
12.4.11 Singapore
12.4.11.1 Singapore Agriculture Analytics Market by Agriculture Type
12.4.11.2 Singapore Agriculture Analytics Market by Component
12.4.11.3 Singapore Agriculture Analytics Market by Deployment
12.4.11.4 Singapore Agriculture Analytics Market by Technology
12.4.12 Australia
12.4.12.1 Australia Agriculture Analytics Market by Agriculture Type
12.4.12.2 Australia Agriculture Analytics Market by Component
12.4.12.3 Australia Agriculture Analytics Market by Deployment
12.4.12.4 Australia Agriculture Analytics Market by Technology
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Agriculture Analytics Market by Agriculture Type
12.4.13.2 Rest of Asia-Pacific APAC Agriculture Analytics Market by Component
12.4.13.3 Rest of Asia-Pacific Agriculture Analytics Market by Deployment
12.4.13.4 Rest of Asia-Pacific Agriculture Analytics Market by Technology
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Agriculture Analytics Market by Country
12.5.1.2 Middle East Agriculture Analytics Market by Agriculture Type
12.5.1.3 Middle East Agriculture Analytics Market by Component
12.5.1.4 Middle East Agriculture Analytics Market by Deployment
12.5.1.5 Middle East Agriculture Analytics Market by Technology
12.5.1.6 UAE
12.5.1.6.1 UAE Agriculture Analytics Market by Agriculture Type
12.5.1.6.2 UAE Agriculture Analytics Market by Component
12.5.1.6.3 UAE Agriculture Analytics Market by Deployment
12.5.1.6.4 UAE Agriculture Analytics Market by Technology
12.5.1.7 Egypt
12.5.1.7.1 Egypt Agriculture Analytics Market by Agriculture Type
12.5.1.7.2 Egypt Agriculture Analytics Market by Component
12.5.1.7.3 Egypt Agriculture Analytics Market by Deployment
12.5.1.7.4 Egypt Agriculture Analytics Market by Technology
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Agriculture Analytics Market by Agriculture Type
12.5.1.8.2 Saudi Arabia Agriculture Analytics Market by Component
12.5.1.8.3 Saudi Arabia Agriculture Analytics Market by Deployment
12.5.1.8.4 Saudi Arabia Agriculture Analytics Market by Technology
12.5.1.9 Qatar
12.5.1.9.1 Qatar Agriculture Analytics Market by Agriculture Type
12.5.1.9.2 Qatar Agriculture Analytics Market by Component
12.5.1.9.3 Qatar Agriculture Analytics Market by Deployment
12.5.1.9.4 Qatar Agriculture Analytics Market by Technology
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Agriculture Analytics Market by Agriculture Type
12.5.1.10.2 Rest of Middle East Agriculture Analytics Market by Component
12.5.1.10.3 Rest of Middle East Agriculture Analytics Market by Deployment
12.5.1.10.4 Rest of Middle East Agriculture Analytics Market by Technology
12.5.2. Africa
12.5.2.1 Africa Agriculture Analytics Market by Country
12.5.2.2 Africa Agriculture Analytics Market by Agriculture Type
12.5.2.3 Africa Agriculture Analytics Market by Component
12.5.2.4 Africa Agriculture Analytics Market by Deployment
12.5.2.5 Africa Agriculture Analytics Market by Technology
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Agriculture Analytics Market by Agriculture Type
12.5.2.6.2 Nigeria Agriculture Analytics Market by Component
12.5.2.6.3 Nigeria Agriculture Analytics Market by Deployment
12.5.2.6.4 Nigeria Agriculture Analytics Market by Technology
12.5.2.7 South Africa
12.5.2.7.1 South Africa Agriculture Analytics Market by Agriculture Type
12.5.2.7.2 South Africa Agriculture Analytics Market by Component
12.5.2.7.3 South Africa Agriculture Analytics Market by Deployment
12.5.2.7.4 South Africa Agriculture Analytics Market by Technology
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Agriculture Analytics Market by Agriculture Type
12.5.2.8.2 Rest of Africa Agriculture Analytics Market by Component
12.5.2.8.3 Rest of Africa Agriculture Analytics Market by Deployment
12.5.2.8.4 Rest of Africa Agriculture Analytics Market by Technology
12.6. Latin America
12.6.1 Latin America Agriculture Analytics Market by Country
12.6.2 Latin America Agriculture Analytics Market by Agriculture Type
12.6.3 Latin America Agriculture Analytics Market by Component
12.6.4 Latin America Agriculture Analytics Market by Deployment
12.6.5 Latin America Agriculture Analytics Market by Technology
12.6.6 Brazil
12.6.6.1 Brazil Agriculture Analytics Market by Agriculture Type
12.6.6.2 Brazil Africa Agriculture Analytics Market by Component
12.6.6.3 Brazil Agriculture Analytics Market by Deployment
12.6.6.4 Brazil Agriculture Analytics Market by Technology
12.6.7 Argentina
12.6.7.1 Argentina Agriculture Analytics Market by Agriculture Type
12.6.7.2 Argentina Agriculture Analytics Market by Component
12.6.7.3 Argentina Agriculture Analytics Market by Deployment
12.6.7.4 Argentina Agriculture Analytics Market by Technology
12.6.8 Colombia
12.6.8.1 Colombia Agriculture Analytics Market by Agriculture Type
12.6.8.2 Colombia Agriculture Analytics Market by Component
12.6.8.3 Colombia Agriculture Analytics Market by Deployment
12.6.8.4 Colombia Agriculture Analytics Market by Technology
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Agriculture Analytics Market by Agriculture Type
12.6.9.2 Rest of Latin America Agriculture Analytics Market by Component
12.6.9.3 Rest of Latin America Agriculture Analytics Market by Deployment
12.6.9.4 Rest of Latin America Agriculture Analytics Market by Technology

13 Company profile
13.1 Climate Corporation
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Trimble Inc.
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Deere & Company
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 IBM Corporation
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 AGCO Corporation
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 SST Software
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Iteris Inc
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Taranis
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Agribotix LLC
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Precision Hawk
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions

15. USE Cases and Best Practices

16. Conclusion

An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.

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.

Secondary Research

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.

Primary Research

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.

Data Bank Validation

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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