COVID-19 Impact on Digital Agriculture Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2023 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0185648
  • Format: Electronic (PDF)
  • Number of Pages: 210
  • Author(s): Joshi, Madhavi

Report Overview

The COVID-19 Impact on Digital Agriculture Market size was estimated at USD 6.5 billion in 2023 and is projected to reach USD 10 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 6.80% during the forecast period (2024-2030).

COVID-19 Impact on Digital Agriculture Market

(Market Size)
$6.5 billion
$10 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 6.80%
2023 Market Size USD 6.5 billion
2030 Market Size USD 10 billion
Key Players Deere & Company, Trimble, AGCO, Raven Industries, Topcon

Market Summary

The COVID-19 pandemic has acted as a significant catalyst and a disruptive force within the digital agriculture market, fundamentally altering its trajectory. The initial phases of the global health crisis severely disrupted agricultural supply chains and limited the mobility of farm labor, creating immense pressure on the global food system. This disruption, however, accelerated the adoption of digital farming technologies as stakeholders sought resilient and efficient solutions to maintain productivity. The market witnessed a pronounced shift towards technologies that enable remote monitoring and data-driven decision-making, reducing the reliance on physical presence. This period underscored the critical importance of agricultural technology in ensuring food security amidst global crises. The pandemic has thereby cemented the role of digital agriculture as a cornerstone for building a more robust and sustainable agricultural framework for the future, moving it from a niche advantage to a mainstream necessity.

Key Highlights

The pandemic era highlighted several pivotal aspects of the digital agriculture sector. A primary highlight was the rapid integration of Internet of Things (IoT) devices and sensors for real-time field monitoring, allowing farmers to manage crops and livestock remotely amidst movement restrictions. Another significant development was the increased reliance on data analytics and artificial intelligence for predictive insights on yield, soil health, and potential disease outbreaks, optimizing resource use and improving outcomes. The crisis also accelerated partnerships between agri-tech firms and traditional agricultural corporations, fostering innovation and scaling solutions more quickly. Furthermore, there was a notable surge in the adoption of drone technology for crop spraying and surveying, minimizing human contact while maximizing efficiency. These highlights collectively demonstrate a sector undergoing rapid transformation, driven by necessity and a clear recognition of the value proposition offered by digital tools in mitigating operational risks.

Drivers, Opportunities & Restraints

The market's evolution is shaped by a complex interplay of drivers, opportunities, and restraints. The foremost driver remains the urgent need for enhanced food production efficiency and supply chain transparency, a need thrown into sharp relief by pandemic-induced disruptions. This is coupled with strong governmental support and initiatives promoting smart farming practices to ensure national food security. Significant opportunities lie in the expansion of precision farming tools in developing regions and the integration of blockchain for traceability from farm to fork. The emergence of AI-driven farm management software presents another substantial growth avenue. However, the market faces considerable restraints, including the high initial investment required for deploying advanced technologies, which can be prohibitive for small-scale farmers. A lack of technical knowledge and digital literacy in certain agricultural communities, alongside concerns regarding data privacy and ownership, also act as barriers to widespread adoption, potentially slowing market penetration in certain segments.

Concentration Insights

The competitive landscape of the digital agriculture market features a mix of established technology giants, specialized agri-tech startups, and traditional agricultural equipment manufacturers diversifying their portfolios. Leading companies such as Deere & Company, Trimble Inc., and AGCO Corporation have strengthened their market positions by expanding their suite of connected equipment and data platforms. Simultaneously, pure-play technology firms like IBM and Microsoft are leveraging their cloud and AI expertise to form strategic partnerships within the agriculture sector. The market is also characterized by a vibrant ecosystem of innovators focusing on niche applications, from drone-based analytics to AI-powered pest detection. This concentration indicates a trend towards consolidation, where larger entities acquire smaller innovators to enhance their technological capabilities, while collaboration between different types of players becomes essential for developing comprehensive, integrated solutions that address the multifaceted challenges of modern farming.

Type Insights

The digital agriculture market is segmented by the type of technology and solution offered. Hardware components, including automation and control systems like GPS-guided tractors and variable rate technology equipment, form a critical foundation. Sensing and monitoring devices, such as yield monitors and soil sensors, are essential for data collection. The software segment is equally vital, encompassing farm management software and platforms that integrate data for actionable insights. This category has seen tremendous growth, with solutions offering features for planning, field mapping, inventory management, and financial tracking. Furthermore, services related to system integration, maintenance, and support represent a growing segment, as the complexity of digital solutions often requires expert assistance. The interplay between these hardware and software types is creating more sophisticated, interconnected farming systems that optimize every stage of the agricultural production process.

Application Insights

Digital agriculture technologies find application across the entire agricultural value chain. In precision farming, these tools are used for yield monitoring, field mapping, and variable rate application of inputs like water, fertilizers, and pesticides, leading to significant cost savings and environmental benefits. Livestock monitoring applications utilize sensors and RFID tags to track animal health, location, and productivity, enabling early disease detection and improved herd management. Another crucial application is in smart greenhouse management, where IoT sensors automate the control of climate conditions, irrigation, and light to maximize crop yield. Furthermore, these technologies are increasingly applied in agriculture supply chain management, enhancing traceability, reducing waste, and improving logistics. The breadth of these applications demonstrates the transformative potential of digital solutions in making agriculture more precise, efficient, and sustainable.

Regional Insights

The adoption and impact of digital agriculture vary significantly across different regions, influenced by local infrastructure, farming practices, and policy support. North America, particularly the United States, represents a mature market characterized by high adoption rates of advanced technologies like autonomous machinery and sophisticated data analytics platforms, driven by large farm sizes and strong R&D investment. Europe follows closely, with stringent regulations promoting sustainable farming practices acting as a key catalyst for adopting precision agriculture technologies. The Asia-Pacific region is anticipated to exhibit rapid growth, fueled by government initiatives in countries like India and China to modernize the agricultural sector and address the challenges of feeding large populations. Meanwhile, regions such as Latin America and the Middle East & Africa are emerging markets where adoption is growing, though often hindered by infrastructural challenges and affordability issues, presenting both a challenge and a long-term opportunity for market players.

Company Insights

The competitive arena is populated by a diverse set of players strategizing to capture market share. Prominent agricultural machinery manufacturers like Deere & Company have aggressively integrated digital capabilities into their equipment, offering farmers seamless data collection and analysis. Technology specialists such as Trimble Inc. provide advanced positioning and workflow solutions tailored for agriculture. Beyond hardware, companies like IBM Corporation offer Watson Decision Platform for agriculture, applying AI and weather data to improve crop forecasting. AGCO Corporation focuses on providing high-tech solutions for the farm of the future through its Fuse? technologies. The landscape also includes innovative startups like Farmers Edge and The Climate Corporation (a Bayer subsidiary), which specialize in digital farm management platforms. These companies are competing on technology integration, data accuracy, and the ability to deliver a tangible return on investment for farmers, making strategic partnerships and continuous innovation key to maintaining a competitive edge.

Recent Developments

The digital agriculture market has been dynamic, with several noteworthy developments shaping its current state. A prominent trend has been the increase in strategic mergers and acquisitions, as larger firms seek to acquire innovative technologies and expand their digital service offerings. There has been a significant push towards developing more AI-centric platforms capable of providing predictive analytics for weather, yield, and pest outbreaks with greater accuracy. Another key development is the enhanced focus on sustainability, with new digital tools being designed specifically to help farmers reduce their environmental footprint through optimized resource use. Companies are also placing greater emphasis on creating user-friendly interfaces and mobile applications to improve accessibility for farmers with varying levels of tech proficiency. Furthermore, the integration of blockchain technology is gaining traction to address consumer demand for transparency and verifiable traceability in food supply chains, marking a significant step beyond mere on-farm productivity.

Report Segmentation

This comprehensive market report is meticulously segmented to provide a detailed and granular analysis of the COVID-19 impact on the digital agriculture landscape. The segmentation is structured along multiple axes to cater to diverse analytical needs. It is categorized by type, delving into hardware, software, and services, examining the adoption and disruption patterns for each. The application segmentation analyzes the market through the lens of precision farming, livestock monitoring, smart greenhouse applications, and supply chain management. Furthermore, the report offers a thorough regional breakdown, assessing the pandemic's unique impact and subsequent recovery across North America, Europe, Asia-Pacific, and the rest of the world. This multi-dimensional segmentation allows stakeholders to identify specific growth pockets, understand regional nuances, and assess the performance of different technology types and their applications in a post-pandemic context, providing actionable intelligence for strategic planning.

FAQs

How did COVID-19 affect the adoption of IoT in agriculture?

The pandemic acted as a major accelerant for IoT adoption in agriculture. Labor shortages and movement restrictions made remote monitoring via sensors essential, leading to increased deployment of IoT devices for tracking soil moisture, crop health, and equipment status.

What are the key technologies in digital agriculture?

Key technologies include precision farming hardware like GPS and variable rate controllers, IoT sensors for data collection, drones for imaging and spraying, AI and machine learning for data analytics, and farm management software platforms that integrate these elements.

Which companies are leaders in the digital agriculture market?

Market leaders include established agricultural machinery giants like Deere & Company and AGCO Corporation, technology providers such as Trimble Inc., and major tech firms like IBM and Microsoft that offer cloud and AI solutions tailored for agriculture.

How has digital agriculture helped during supply chain disruptions?

Digital tools have enhanced supply chain resilience by improving demand forecasting, optimizing logistics and routing for harvest transport, and providing greater transparency through track-and-trace technologies, helping to reduce waste and mitigate disruption impacts.

What is the future of digital agriculture post-pandemic?

The future points towards increased integration and sophistication. The pandemic proved the value of these technologies, setting a trajectory for more autonomous operations, wider use of AI for predictive decision-making, and a stronger focus on creating sustainable and transparent food systems.

Citius Research has developed a research report titled “COVID-19 Impact on Digital Agriculture Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” delivering key insights regarding business intelligence and providing concrete business strategies to clients in the form of a detailed syndicated report. The report details out the factors such as business environment, industry trend, growth opportunities, competition, pricing, global and regional market analysis, and other market related factors.

Details included in the report for the years 2024 through 2030

• COVID-19 Impact on Digital Agriculture Market Potential
• Segment-wise breakup
• Compounded annual growth rate (CAGR) for the next 6 years
• Key customers and their preferences
• Market share of major players and their competitive strength
• Existing competition in the market
• Price trend analysis
• Key trend analysis
• Market entry strategies
• Market opportunity insights

The report focuses on the drivers, restraints, opportunities, and challenges in the market based on various factors geographically. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report. The COVID-19 Impact on Digital Agriculture Market report is segmented on the basis of various market segments and their analysis, both in terms of value and volume, for each region for the period under consideration.

COVID-19 Impact on Digital Agriculture Market Segmentation

Market Segmentation

Regions Covered

• North America
• Latin America
• Europe
• MENA
• Asia Pacific
• Sub-Saharan Africa and
• Australasia

COVID-19 Impact on Digital Agriculture Market Analysis

The report covers below mentioned analysis, but is not limited to:

• Overview of COVID-19 Impact on Digital Agriculture Market
• Research Methodology
• Executive Summary
• Market Dynamics of COVID-19 Impact on Digital Agriculture Market
  • Driving Factors
  • Restraints
  • Opportunities
• Global Market Status and Forecast by Segment A
• Global Market Status and Forecast by Segment B
• Global Market Status and Forecast by Segment C
• Global Market Status and Forecast by Regions
• Upstream and Downstream Market Analysis of COVID-19 Impact on Digital Agriculture Market
• Cost and Gross Margin Analysis of COVID-19 Impact on Digital Agriculture Market
• COVID-19 Impact on Digital Agriculture Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030
  • Competition Landscape
  • Market Share of Major Players
• Key Recommendations

The “COVID-19 Impact on Digital Agriculture Market Report - Global Industry Analysis, Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030” report helps the clients to take business decisions and to understand strategies of major players in the industry. The report delivers the market driven results supported by a mix of primary and secondary research. The report provides the results triangulated through authentic sources and upon conducting thorough primary interviews with the industry experts. The report includes the results on the areas where the client can focus and create point of parity and develop a competitive edge, based on real-time data results.

COVID-19 Impact on Digital Agriculture Market Key Stakeholders

Below are the key stakeholders for the COVID-19 Impact on Digital Agriculture Market:

• Manufacturers
• Distributors/Traders/Wholesalers
• Material/Component Manufacturers
• Industry Associations
• Downstream vendors

COVID-19 Impact on Digital Agriculture Market Report Scope

Report AttributeDetails
Base year2023
Historical data2018 – 2023
Forecast2024 - 2030
CAGR2024 - 2030
Quantitative UnitsValue (USD Million)
Report coverageRevenue Forecast, Competitive Landscape, Growth Factors, Trends and Strategies. Customized report options available on request
Segments coveredProduct type, technology, application, geography
Regions coveredNorth America, Latin America, Europe, MENA, Asia Pacific, Sub-Saharan Africa and Australasia
Countries coveredUS, UK, China, Japan, Germany, India, France, Brazil, Italy, Canada, Russia, South Korea, Australia, Spain, Mexico and others
Customization scopeAvailable on request
PricingVarious purchase options available as per your research needs. Discounts available on request

COVID-19 Impact Analysis

Like most other markets, the outbreak of COVID-19 had an unfavorable impact on the COVID-19 Impact on Digital Agriculture Market worldwide. This report discusses in detail the disruptions experienced by the market, the impact on flow of raw materials, manufacturing operations, production trends, consumer demand and the projected future of this market post pandemic.

The report has helped our clients:

• To describe and forecast the COVID-19 Impact on Digital Agriculture Market size, on the basis of various segmentations and geography, in terms of value and volume
• To measure the changing needs of customers/industries
• To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
• To gain competitive intelligence and uncover new opportunities
• To analyse opportunities in the market for stakeholders by identifying high-growth segments in COVID-19 Impact on Digital Agriculture Market
• To strategically profile key players and provide details of the current competitive landscape
• To analyse strategic approaches adopted by players in the market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships

Report Customization

Citius Research provides free customization of reports as per your need. This report can be personalized to meet your requirements. Get in touch with our sales team, who will guarantee you to get a report that suits your necessities.

Customize This Report

Frequently Asked Questions

The Global COVID-19 Impact on Digital Agriculture Market size was valued at $XX billion in 2023 and is anticipated to reach $XX billion by 2030 growing at a CAGR of XX%
The global COVID-19 Impact on Digital Agriculture Market is expected to grow at a CAGR of XX% from 2023 to 2030.
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Table of Contents

Chapter 1. Introduction
  1.1. Market Scope
  1.2. Key Segmentations
  1.3. Research Objective
Chapter 2. Research Methodology & Assumptions
Chapter 3. Executive Summary
Chapter 4. Market Background
  4.1. Dynamics
    4.1.1. Drivers
    4.1.2. Restraints
    4.1.3. Opportunity
    4.1.4. Challenges
  4.2. Key Trends in the Impacting the Market
    4.2.1. Demand & Supply
  4.3. Industry SWOT Analysis
  4.4. Porter’s Five Forces Analysis
  4.5. Value and Supply Chain Analysis
  4.6. Macro-Economic Factors
  4.7. COVID-19 Impact Analysis
    4.7.1. Global and Regional Assessment
  4.8. Profit Margin Analysis
  4.9. Trade Analysis
    4.9.1. Importing Countries
    4.9.2. Exporting Countries
  4.10. Market Entry Strategies
  4.11. Market Assessment (US$ Mn and Units)
Chapter 5. Global COVID-19 Impact on Digital Agriculture Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment A
  5.1. By Segment A, 2024 - 2030
    5.1.1. Sub-Segment A
    5.1.2. Sub-Segment B
  5.2. Opportunity Analysis
Chapter 6. Global COVID-19 Impact on Digital Agriculture Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment B
  6.1. By Segment B, 2024 - 2030
    6.1.1. Sub-Segment A
    6.1.2. Sub-Segment B
  6.2. Opportunity Analysis
Chapter 7. Global COVID-19 Impact on Digital Agriculture Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Segment C
  7.1. By Segment C, 2024 - 2030
    7.1.1. Sub-Segment A
    7.1.2. Sub-Segment B
  7.2. Opportunity Analysis
Chapter 8. Global COVID-19 Impact on Digital Agriculture Market Size (US$ Mn and Units), Forecast and Trend Analysis, By Region
  8.1. By Region, 2024 - 2030
    8.1.1. North America
    8.1.2. Latin America
    8.1.3. Europe
    8.1.4. MENA
    8.1.5. Asia Pacific
    8.1.6. Sub-Saharan Africa
    8.1.7. Australasia
  8.2. Opportunity Analysis
Chapter 9. North America COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  9.1. Regional Overview
  9.2. Pricing Analysis
  9.3. Key Trends in the Region
    9.3.1. Supply and Demand
  9.4. Demographic Structure
  9.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    9.5.1. Sub-Segment A
    9.5.2. Sub-Segment B
  9.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    9.6.1. Sub-Segment A
    9.6.2. Sub-Segment B
  9.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    9.7.1. Sub-Segment A
    9.7.2. Sub-Segment B
  9.8. By Country, 2024 - 2030, (US$ Mn and Units)
    9.8.1. U.S.
    9.8.2. Canada
    9.8.3. Rest of North America
  9.9. Opportunity Analysis
Chapter 10. Latin America COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  10.1. Regional Overview
  10.2. Pricing Analysis
  10.3. Key Trends in the Region
    10.3.1. Supply and Demand
  10.4. Demographic Structure
  10.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    10.5.1. Sub-Segment A
    10.5.2. Sub-Segment B
  10.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    10.6.1. Sub-Segment A
    10.6.2. Sub-Segment B
  10.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    10.7.1. Sub-Segment A
    10.7.2. Sub-Segment B
  10.8. By Country, 2024 - 2030, (US$ Mn and Units)
    10.8.1. Brazil
    10.8.2. Argentina
    10.8.3. Rest of Latin America
  10.9. Opportunity Analysis
Chapter 11. Europe COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  11.1. Regional Overview
  11.2. Pricing Analysis
  11.3. Key Trends in the Region
    11.3.1. Supply and Demand
  11.4. Demographic Structure
  11.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    11.5.1. Sub-Segment A
    11.5.2. Sub-Segment B
  11.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    11.6.1. Sub-Segment A
    11.6.2. Sub-Segment B
  11.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    11.7.1. Sub-Segment A
    11.7.2. Sub-Segment B
  11.8. By Country, 2024 - 2030, (US$ Mn and Units)
    11.8.1. UK
    11.8.2. Germany
    11.8.3. France
    11.8.4. Spain
    11.8.5. Rest of Europe
  11.9. Opportunity Analysis
Chapter 12. MENA COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  12.1. Regional Overview
  12.2. Pricing Analysis
  12.3. Key Trends in the Region
    12.3.1. Supply and Demand
  12.4. Demographic Structure
  12.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    12.5.1. Sub-Segment A
    12.5.2. Sub-Segment B
  12.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    12.6.1. Sub-Segment A
    12.6.2. Sub-Segment B
  12.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    12.7.1. Sub-Segment A
    12.7.2. Sub-Segment B
  12.8. By Country, 2024 - 2030, (US$ Mn and Units)
    12.8.1. Egypt
    12.8.2. Algeria
    12.8.3. GCC
    12.8.4. Rest of MENA
  12.9. Opportunity Analysis
Chapter 13. Asia Pacific COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  13.1. Regional Overview
  13.2. Pricing Analysis
  13.3. Key Trends in the Region
    13.3.1. Supply and Demand
  13.4. Demographic Structure
  13.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    13.5.1. Sub-Segment A
    13.5.2. Sub-Segment B
  13.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    13.6.1. Sub-Segment A
    13.6.2. Sub-Segment B
  13.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    13.7.1. Sub-Segment A
    13.7.2. Sub-Segment B
  13.8. By Country, 2024 - 2030, (US$ Mn and Units)
    13.8.1. India
    13.8.2. China
    13.8.3. Japan
    13.8.4. ASEAN
    13.8.5. Rest of Asia Pacific
  13.9. Opportunity Analysis
Chapter 14. Sub-Saharan Africa COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  14.1. Regional Overview
  14.2. Pricing Analysis
  14.3. Key Trends in the Region
    14.3.1. Supply and Demand
  14.4. Demographic Structure
  14.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    14.5.1. Sub-Segment A
    14.5.2. Sub-Segment B
  14.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    14.6.1. Sub-Segment A
    14.6.2. Sub-Segment B
  14.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    14.7.1. Sub-Segment A
    14.7.2. Sub-Segment B
  14.8. By Country, 2024 - 2030, (US$ Mn and Units)
    14.8.1. Ethiopia
    14.8.2. Nigeria
    14.8.3. Rest of Sub-Saharan Africa
  14.9. Opportunity Analysis
Chapter 15. Australasia COVID-19 Impact on Digital Agriculture Market Forecast and Trend Analysis
  15.1. Regional Overview
  15.2. Pricing Analysis
  15.3. Key Trends in the Region
    15.3.1. Supply and Demand
  15.4. Demographic Structure
  15.5. By Segment A , 2024 - 2030, (US$ Mn and Units)
    15.5.1. Sub-Segment A
    15.5.2. Sub-Segment B
  15.6. By Segment B, 2024 - 2030, (US$ Mn and Units)
    15.6.1. Sub-Segment A
    15.6.2. Sub-Segment B
  15.7. By Segment C, 2024 - 2030, (US$ Mn and Units)
    15.7.1. Sub-Segment A
    15.7.2. Sub-Segment B
  15.8. By Country, 2024 - 2030, (US$ Mn and Units)
    15.8.1. Australia
    15.8.2. New Zealand
    15.8.3. Rest of Australasia
  15.9. Opportunity Analysis
Chapter 16. Competition Analysis
  16.1. Competitive Benchmarking
    16.1.1. Top Player’s Market Share
    16.1.2. Price and Product Comparison
  16.2. Company Profiles
    16.2.1. Company A
      16.2.1.1. Company Overview
      16.2.1.2. Segmental Revenue
      16.2.1.3. Product Portfolio
      16.2.1.4. Key Developments
      16.2.1.5. Strategic Outlook
    16.2.2. Company B
      16.2.2.1. Company Overview
      16.2.2.2. Segmental Revenue
      16.2.2.3. Product Portfolio
      16.2.2.4. Key Developments
      16.2.2.5. Strategic Outlook
    16.2.3. Company C
      16.2.3.1. Company Overview
      16.2.3.2. Segmental Revenue
      16.2.3.3. Product Portfolio
      16.2.3.4. Key Developments
      16.2.3.5. Strategic Outlook
    16.2.4. Company D
      16.2.4.1. Company Overview
      16.2.4.2. Segmental Revenue
      16.2.4.3. Product Portfolio
      16.2.4.4. Key Developments
      16.2.4.5. Strategic Outlook
    16.2.5. Company E
      16.2.5.1. Company Overview
      16.2.5.2. Segmental Revenue
      16.2.5.3. Product Portfolio
      16.2.5.4. Key Developments
      16.2.5.5. Strategic Outlook
    16.2.6. Company F
      16.2.6.1. Company Overview
      16.2.6.2. Segmental Revenue
      16.2.6.3. Product Portfolio
      16.2.6.4. Key Developments
      16.2.6.5. Strategic Outlook
    16.2.7. Company G
      16.2.7.1. Company Overview
      16.2.7.2. Segmental Revenue
      16.2.7.3. Product Portfolio
      16.2.7.4. Key Developments
      16.2.7.5. Strategic Outlook
    16.2.8. Company H
      16.2.8.1. Company Overview
      16.2.8.2. Segmental Revenue
      16.2.8.3. Product Portfolio
      16.2.8.4. Key Developments
      16.2.8.5. Strategic Outlook
    16.2.9. Company I
      16.2.9.1. Company Overview
      16.2.9.2. Segmental Revenue
      16.2.9.3. Product Portfolio
      16.2.9.4. Key Developments
      16.2.9.5. Strategic Outlook
    16.2.10. Company J
      16.2.10.1. Company Overview
      16.2.10.2. Segmental Revenue
      16.2.10.3. Product Portfolio
      16.2.10.4. Key Developments
      16.2.10.5. Strategic Outlook
Chapter 17. Go-To-Market Strategy

Research Methodology

We follow a robust research methodology to analyze the market in order to provide our clients with qualitative and quantitative analysis which has a very low or negligible deviance. Extensive secondary research supported by primary data collection methods help us to thoroughly understand and gauge the market. We incorporate both top-down and bottom-up approach for estimating the market. The below mentioned methods are then adopted to triangulate and validate the market.

Secondary data collection and interpretation

Secondary research includes sources such as published books, articles in journals, news media and published businesses, government and international body publications, and associations. Sources also include paid databases such as Hoovers, Thomson Reuters, Passport and others. Data derived through secondary sources is further validated through primary sources. The secondary sources also include major manufacturers mapped on the basis of revenues, product portfolios, and sales channels.

Primary data collection

Primary data collection methods include conducting interviews with industry experts and various stakeholders across the supply chain, such as raw material suppliers, manufacturers, product distributors and customers. The interviews are either telephonic or face-to-face, or even a combination of both. Prevailing trends in the industry are gathered by conducting surveys. Primary interviews also help us to understand the market drivers, restraints and opportunities, along with the challenges in the market. This method helps us in validating the data gathered through secondary sources, further triangulating the data and developing it through our statistical tools. We generally conduct interviews with -

  • CEOs, Directors, and VPs
  • Sales and Marketing Managers
  • Plant Heads and Manufacturing Department Heads
  • Product Specialists

Supply Side and Demand Side Data Collection

Supply side analysis is based on the data collected from the manufacturers and the product providers in terms of their segmental revenues. Secondary sources for this type of analysis include company annual reports and publications, associations and organisations, government publications and others.

Demand side analysis is based upon the consumer insights who are the end users of the particular product in question. They could be an individual user or an organisation. Such data is gathered through consumer surveys and focused group interviews.

Market Engineering

As a primary step, in order to develop the market numbers we follow a vigorous methodology that includes studying the parent market of the niche product and understanding the industry trends, acceptance among customers of the product, challenges, future growth, and others, followed by further breaking down the market under consideration into various segments and sub-markets. Additionally, in order to cross-validate the market, we also determine the top players in the market, along with their segmental revenues for the said market. Our secondary sources help us to validate the market share of the top players. Using both the qualitative and quantitative analysis of all the possible factors helps us determine the market numbers which are inclined towards accuracy.

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