image

Report Scope & Overview:

Connected Agriculture Market size was valued at USD 3.78 billion in 2022 and is expected to grow to USD 15.16 billion By 2030 and grow at a CAGR of 18.96 % over the forecast period of 2023-2030.

Connected agriculture refers to the utilization of modern technology to enhance, manage, and regulate farming processes, ultimately leading to increased agricultural product production and quality. With the advent of digital technology, the collection and analysis of vast amounts of data has become more accessible and cost-effective. This development has the potential to revolutionize farming operations by providing real-time insights into soil conditions, moisture levels, and weather patterns. The primary objective of connected agriculture is to provide farmers, agribusinesses, fertilizer companies, and food and beverage companies with real-time data that can be used to connect with potential buyers, traders, and sellers. By leveraging this data, stakeholders in the agricultural industry can make informed decisions that lead to increased productivity and efficiency. connected agriculture represents a significant step forward in the evolution of farming practices. By embracing modern technology and leveraging data-driven insights, the agricultural industry can unlock new levels of productivity and profitability.

Connected Agriculture Market Revenue Analysis

To get more information on Connected Agriculture Market - Request Sample Report

Market Dynamics

Drivers

  • Farmers are increasing their use of smartphones and the internet in order to boost the market.

  • Growing emphasis on agricultural farming will boost market expansion.

Connected agriculture enables farmers to maximize crop production while reducing expenses and effort associated with traditional agricultural methods. Connected agriculture boosts production by allowing farmers to properly invest time and money in the right mix to evaluate optimum planting density, estimate fertilizers, and anticipate crop yields. Farmers currently rely on the most recent agricultural advancements, such as the usage of cell phones and other linked gadgets. Advanced connected technologies such as low power wide area (LPWA), Zigbee, WiFi, and new wireless sensor technologies aid farmers in the planning and execution of different agricultural activities such as purchasing supplies, inventory control, timely planting and harvesting, and so on.

Restrains

  • High capital investment is required to build linked agricultural infrastructure.

Opportunities

  • Mobile technology integration in agricultural operations.

  • Governments are taking initiatives and R&D activities for adopting technologies in agriculture.

Challenges

  • End-users lack of knowledge

Farmers are unaware of the benefits of embracing linked agriculture technologies. The majority of farmers in underdeveloped nations still use conventional agricultural practices. They are unaware of technical advancements in the agricultural industry. Farmers find it challenging to implement sophisticated technology for linked agriculture solutions. This creates a technology divide and makes understanding the principles and advantages of linked agriculture challenging for farmers. There is a disconnect between connected agricultural service providers and farmers, which is caused by vendors' incapacity to reach farmers. Farmers in developing nations, in particular, confront this difficulty since they are still dealing with basic requirements such as energy and water scarcity. Governments and market participants throughout the world are taking steps to give farmers training and consulting in order to address this issue; yet, many farmers remain beyond the scope of such efforts. Many developing nations are investing in teaching and informing their agricultural populations about the benefits of linked agriculture solutions and services in order to address this difficulty. Furthermore, further support from social bodies to elevate the degree of knowledge among farmers on how to increase farm production and improve farm operations efficiency will help empower agriculture stakeholders.

Impact of the Russia-Ukraine War

The war has resulted in the disruption of transportation networks and logistical challenges, making it difficult for farmers to access necessary resources and technologies. Connected Agriculture relies heavily on efficient supply chains to deliver inputs such as sensors, drones, and other connected devices to farmers. Disruptions in the supply chain can lead to delays, increased costs, and limited availability of these technologies. The conflict has created a climate of instability and uncertainty in the region, which can deter investments in agricultural technologies. Businesses may be hesitant to invest in Connected Agriculture solutions in areas affected by the war due to concerns about the safety of their investments and the long-term viability of the market. The war has caused infrastructure damage, including damage to agricultural facilities, communication networks, and power grids. Connected Agriculture relies on robust infrastructure, such as internet connectivity and reliable power supply, to function effectively. Infrastructure damage can hamper the implementation and adoption of connected technologies, limiting their potential impact on agricultural productivity. During times of conflict, governments often allocate resources and prioritize sectors such as defense and security over other areas, including agriculture. This shift in priorities can lead to reduced investments and support for Connected Agriculture initiatives. Government funding and assistance programs that were previously available for the adoption of connected technologies in agriculture may be diverted to address more immediate needs arising from the war. The Russia-Ukraine war has had broader economic implications, including currency devaluation, inflation, and reduced foreign investment. These factors can negatively affect farmers' purchasing power and willingness to invest in expensive technologies. As a result, the adoption of Connected Agriculture solutions may slow down or face resistance due to financial constraints.

Impact of the Recession

During a recession, investors and venture capitalists tend to become more risk-averse, leading to a decline in available funding for startups and companies in the Connected Agriculture Market. This can hamper the development of new technologies, slow down innovation, and limit expansion opportunities for existing players. Connected Agriculture technologies, such as Internet of Things (IoT) devices, precision farming solutions, and data analytics platforms, often require substantial investments from farmers and agricultural organizations. In times of economic uncertainty, these stakeholders may be more hesitant to invest in new technologies, leading to a slower adoption rate of connected agricultural solutions. Governments and public institutions play a crucial role in promoting and supporting connected agriculture initiatives through policies, subsidies, and research funding. However, during a recession, governments often face budgetary constraints and may need to prioritize other sectors over agricultural investments, which could slow down the growth and adoption of connected agriculture technologies. In times of economic downturn, farmers may prioritize cost-saving measures and focus on traditional farming practices rather than investing in new technologies. They may be more concerned with immediate financial stability and may delay or forgo investments in connected agriculture solutions until economic conditions improve. Recessionary periods can lead to changes in consumer behavior and reduced purchasing power, which may affect the demand for agricultural products. Fluctuations in demand can impact the supply chain and the need for connected agriculture technologies to optimize production, logistics, and distribution.

Key Market Segmentation:

The Connected Agriculture Market is segmented into four types on the basis of By platforms, By Component, By services, and By Application.

By platforms

  • Device Management

  • Application Enablement

  • Connectivity Management

By Component

  • Solution

  • Services

By services

  • Consulting

  • Integration and Implementation

  • Support and Maintenance

By Application

  • Pre-Production Management

  • In-Production Management

  • Post-Production Management

Connected Agriculture Market Segmentation Analysis

Need any Customization Research on Connected Agriculture Market - Enquiry Now

Regional Analysis

During the forecast period, North America is expected to have the highest share of the connected agricultural market. The presence of major companies focusing on linked agriculture solutions, growing technology breakthroughs, and increased usage of agricultural drones are driving market expansion in North America.  Aside from that, several government efforts have been launched in emerging nations such as the United States and Canada to encourage the adoption of modern agricultural technology, which has boosted North America's connected agriculture market growth. Furthermore, sophisticated technologies like as the Internet of Things (IoT), Artificial Intelligence (AI), big data, data analytics, and predictive analytics are projected to considerably contribute to the region's connected agricultural market growth throughout the forecast period.

During the forecast period, Asia Pacific is expected to be the fastest-growing region in the worldwide connected agricultural market. Asia Pacific is a critical region in the global food chain economy, accounting for the majority of food and agricultural exports. Countries in the area, including China, Japan, and India, are adopting connected agriculture technologies in order to make better use of existing resources. Governments and corporate organizations are continually attempting to improve agricultural land production and efficiency through automation, the use of modern technology, and the use of fewer pesticides. Because of increased investments in linked infrastructure, digital farming practices, and the use of cloud-based solutions, the area is likely to create attractive development possibilities for connected agricultural suppliers.

REGIONAL COVERAGE:

North America

  • USA

  • Canada

  • Mexico

Europe

  • Germany

  • UK

  • France

  • Italy

  • Spain

  • The Netherlands

  • Rest of Europe

Asia-Pacific

  • Japan

  • South Korea

  • China

  • India

  • Australia

  • Rest of Asia-Pacific

The Middle East & Africa

  • Israel

  • UAE

  • South Africa

  • Rest of the Middle East & Africa

Latin America

  • Brazil

  • Argentina

  • Rest of Latin America

Recent development

Automat, a pioneering project to provide cutting-edge technology to Indian farmers, will showcase five new smart irrigation solutions for Rajasthan farmers at its UDGHOSH event in August 2022. Automat is a manufacturer of irrigation sprinklers, filtration equipment, and fertilization equipment based in India.

Through strategic cooperation with EZ-Drops, a manufacturer of cutting-edge agricultural equipment, AGCO Corporation will debut a new fertilizer supply system for its dealers in North America in 2021. AGCO's RoGator dealers provided customized nutrition application system installations. This technique helped farmers reduce excessive nitrogen spraying, which reduces agricultural profitability.

Key Players:

The major players are Ag Leader Technology, AT&T, IBM, Orange Business Services, Decisive Farming, Accenture, Microsoft, SatSure, Iteris, Gamaya, LINK LABS., Deere & Company, SAP SE, Oracle, Trimble SMAG, Cisco, and others in the final report.

Connected Agriculture Market Report Scope:
Report Attributes Details
Market Size in 2022  US$ 3.78 Bn
Market Size by 2030  US$ 15.16 Bn
CAGR   CAGR of 18.96 % From 2023 to 2030
Base Year  2022
Forecast Period  2023-2030
Historical Data  2020-2021
Report Scope & Coverage Market Size, Segments Analysis, Competitive  Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook
Key Segments • By platforms (Device Management, Application Enablement, Connectivity Management)
• By Component (Solution, Services)
• By services (Consulting, Integration and Implementation, Support and Maintenance)
• By Application (Pre-Production Management, In-Production Management, Post-Production Management)
Regional Analysis/Coverage North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
Company Profiles Ag Leader Technology, AT&T, IBM, Orange Business Services, Decisive Farming, Accenture, Microsoft, SatSure, Iteris, Gamaya, LINK LABS., Deere & Company, SAP SE, Oracle, Trimble SMAG, Cisco
Key Drivers • Farmers are increasing their use of smartphones and the internet in order to boost the market.
• Growing emphasis on agricultural farming will boost market expansion.
Market Opportunities • Mobile technology integration in agricultural operations.
• Governments are taking initiatives and R&D activities for adopting technologies in agriculture.

 

Frequently Asked Questions

Ans: 18.96% is the CAGR of the Connected Agriculture Market in the forecast period of 2023-2030.

Ans: USD 3.78 billion in 2022 is the market share of the Connected Agriculture Market.

Ans. The major players are Ag Leader Technology, AT&T, IBM, Orange Business Services, Decisive Farming, Accenture, Microsoft, SatSure, Iteris, Gamaya, LINK LABS., Deere & Company, SAP SE, Oracle, Trimble SMAG, Cisco, and others in the final report.

Ans: The North American region is dominating the Connected Agriculture Market.

Ans. The forecast period for the Connected Agriculture Market is 2023-2030.

Table of Contents

1.Introduction
1.1 Market 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 Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
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. Connected Agriculture Market Segmentation, By platforms
8.1 Device Management
8.2 Application Enablement
8.3 Connectivity Management

9. Connected Agriculture Market Segmentation, By Component
9.1 Solutions
9.2 Services

10. Connected Agriculture Market Segmentation, By services
10.1 Consulting
10.2 Integration and Implementation
10.3 Support and Maintenance

11. Connected Agriculture Market Segmentation, By Application
11.1 Pre-Production Management
11.2 In-Production Management
11.3 Post-Production Management

12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Connected Agriculture Market By Country
12.2.2 North America Connected Agriculture Market By platforms
12.2.3 North America Connected Agriculture Market By Component
12.2.4 North America Connected Agriculture Market By services
12.2.5 North America Connected Agriculture Market By Application
12.2.6 USA
12.2.6.1 USA Connected Agriculture Market By platforms
12.2.6.2 USA Connected Agriculture Market By Component
12.2.6.3 USA Connected Agriculture Market By services
12.2.6.4 USA Connected Agriculture Market By Application
12.2.7 Canada
12.2.7.1 Canada Connected Agriculture Market By platforms
12.2.7.2 Canada Connected Agriculture Market By Component
12.2.7.3 Canada Connected Agriculture Market By services
12.2.7.4 Canada Connected Agriculture Market By Application
12.2.8 Mexico
12.2.8.1 Mexico Connected Agriculture Market By platforms
12.2.8.2 Mexico Connected Agriculture Market By Component
12.2.8.3 Mexico Connected Agriculture Market By services
12.2.8.4 Mexico Connected Agriculture Market By Application
12.3 Europe
12.3.1 Europe Connected Agriculture Market By Country
12.3.2 Europe Connected Agriculture Market By platforms
12.3.3 Europe Connected Agriculture Market By Component
12.3.4 Europe Connected Agriculture Market By services
12.3.5 Europe Connected Agriculture Market By Application
12.3.6 Germany
12.3.6.1 Germany Connected Agriculture Market By platforms
12.3.6.2 Germany Connected Agriculture Market By Component
12.3.6.3 Germany Connected Agriculture Market By services
12.3.6.4 Germany Connected Agriculture Market By Application
12.3.7 UK
12.3.7.1 UK Connected Agriculture Market By platforms
12.3.7.2 UK Connected Agriculture Market By Component
12.3.7.3 UK Connected Agriculture Market By services
12.3.7.4 UK Connected Agriculture Market By Application
12.3.8 France
12.3.8.1 France Connected Agriculture Market By platforms
12.3.8.2 France Connected Agriculture Market By Component
12.3.8.3 France Connected Agriculture Market By services
12.3.8.4 France Connected Agriculture Market By Application
12.3.9 Italy
12.3.9.1 Italy Connected Agriculture Market By platforms
12.3.9.2 Italy Connected Agriculture Market By Component
12.3.9.3 Italy Connected Agriculture Market By services
12.3.9.4 Italy Connected Agriculture Market By Application
12.3.10 Spain
12.3.10.1 Spain Connected Agriculture Market By platforms
12.3.10.2 Spain Connected Agriculture Market By Component
12.3.10.3 Spain Connected Agriculture Market By services
12.3.10.4 Spain Connected Agriculture Market By Application
12.3.11 The Netherlands
12.3.11.1 Netherlands Connected Agriculture Market By platforms
12.3.11.2 Netherlands Connected Agriculture Market By Component
12.3.11.3 Netherlands Connected Agriculture Market By services
12.3.11.4 Netherlands Connected Agriculture Market By Application
12.3.12 Rest of Europe
12.3.12.1 Rest of Europe Connected Agriculture Market By platforms
12.3.12.2 Rest of Europe Connected Agriculture Market By Component
12.3.12.3 Rest of Europe Connected Agriculture Market By services
12.3.12.4 Rest of Europe Connected Agriculture Market By Application
12.4 Asia-Pacific
12.4.1 Asia Pacific Connected Agriculture Market By Country
12.4.2 Asia Pacific Connected Agriculture Market By platforms
12.4.3 Asia Pacific Connected Agriculture Market By Component
12.4.4Asia Pacific Connected Agriculture Market By services
12.4.5Asia Pacific Connected Agriculture Market By Application
12.4.6 Japan
12.4.6.1 Japan Connected Agriculture Market By platforms
12.4.6.2 Japan Connected Agriculture Market By Component
12.4.6.3 Japan Connected Agriculture Market By services
12.4.6.4 Japan Connected Agriculture Market By Application
12.4.7 South Korea
12.4.7.1 South Korea Connected Agriculture Market By platforms
12.4.7.2 South Korea Connected Agriculture Market By Component
12.4.7.3 South Korea Connected Agriculture Market By services
12.4.7.4 South Korea Connected Agriculture Market By Application
12.4.8 China
12.4.8.1 China Connected Agriculture Market By platforms
12.4.8.2 China Connected Agriculture Market By Component
12.4.8.3 China Connected Agriculture Market By services
12.4.8.4 China Connected Agriculture Market By Application
12.4.9 India
12.4.9.1 India Connected Agriculture Market By platforms
12.4.9.2 India Connected Agriculture Market By Component
12.4.9.3 India Connected Agriculture Market By services
12.4.9.4 India Connected Agriculture Market By Application
12.4.11 Australia
12.4.10.1 Australia Connected Agriculture Market By platforms
12.4.10.2 Australia Connected Agriculture Market By Component
12.4.10.3 Australia Connected Agriculture Market By services
12.4.10.4 Australia Connected Agriculture Market By Application
12.4.11 Rest of Asia-Pacific
12.4.11.1 APAC Connected Agriculture Market By platforms
12.4.11.2 APAC Connected Agriculture Market By Component
12.4.11.3 APAC Connected Agriculture Market By services
12.4.11.4 APAC Connected Agriculture Market By Application
12.5 The Middle East & Africa
12.5.1 The Middle East & Africa Connected Agriculture Market By Country
12.5.2 The Middle East & Africa Connected Agriculture Market By platforms
12.5.3 The Middle East & Africa Connected Agriculture Market By Component
12.5.4The Middle East & Africa Connected Agriculture Market By services
12.5.5 The Middle East & Africa Connected Agriculture Market By Application
12.5.6 Israel
12.5.6.1 Israel Connected Agriculture Market By platforms
12.5.6.2 Israel Connected Agriculture Market By Component
12.5.6.3 Israel Connected Agriculture Market By services
12.5.6.4 Israel Connected Agriculture Market By Application
12.5.7 UAE
12.5.7.1 UAE Connected Agriculture Market By platforms
12.5.7.2 UAE Connected Agriculture Market By Component
12.5.7.3 UAE Connected Agriculture Market By services
12.5.7.4 UAE Connected Agriculture Market By Application
12.5.8South Africa
12.5.8.1 South Africa Connected Agriculture Market By platforms
12.5.8.2 South Africa Connected Agriculture Market By Component
12.5.8.3 South Africa Connected Agriculture Market By services
12.5.8.4 South Africa Connected Agriculture Market By Application
12.5.9 Rest of Middle East & Africa
12.5.9.1 Rest of Middle East & Asia Connected Agriculture Market By platforms
12.5.9.2 Rest of Middle East & Asia Connected Agriculture Market By Component
12.5.9.3 Rest of Middle East & Asia Connected Agriculture Market By services
12.5.9.4 Rest of Middle East & Asia Connected Agriculture Market By Application
12.6 Latin America
12.6.1 Latin America Connected Agriculture Market By Country
12.6.2 Latin America Connected Agriculture Market By platforms
12.6.3 Latin America Connected Agriculture Market By Component
12.6.4 Latin America Connected Agriculture Market By services
12.6.5 Latin America Connected Agriculture Market By Application
12.6.6 Brazil
12.6.6.1 Brazil Connected Agriculture Market By platforms
12.6.6.2 Brazil Africa Connected Agriculture Market By Component
12.6.6.3 Brazil Connected Agriculture Market By services
12.6.6.4 Brazil Connected Agriculture Market By Application
12.6.7 Argentina
12.6.7.1 Argentina Connected Agriculture Market By platforms
12.6.7.2 Argentina Connected Agriculture Market By Component
12.6.7.3 Argentina Connected Agriculture Market By services
12.6.7.4 Argentina Connected Agriculture Market By Application
12.6.8 Rest of Latin America
12.6.8.1 Rest of Latin America Connected Agriculture Market By platforms
12.6.8.2 Rest of Latin America Connected Agriculture Market By Component
12.6.8.3 Rest of Latin America Connected Agriculture Market By services
12.6.8.4Rest of Latin America Connected Agriculture Market By Application

13 Company Profile
13.1 Ag Leader Technology.
13.1.1 Market Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 AT&T.
13.2.1 Market Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 IBM.
13.3.1 Market Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Orange Business Services.
13.4.1 Market Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Decisive Farming.
13.5.1 Market Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Accenture.
13.6.1 Market Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Microsoft.
13.7.1 Market Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Oracle.
13.8.1 Market Overview
13.8.2 Financials
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Trimble SMAG.
13.9.1 Market Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Cisco.
13.10.1 Market Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View

14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments

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.

Share Page
Start a Conversation

Hi! Click one of our member below to chat on Phone