Smart Agriculture Market Report, Global Industry Analysis, Market Size, Share, Growth Trends, Regional Outlook, Competitive Strategies and Segment Forecasts 2024 - 2030

  • Published Date: Jan, 2024
  • Report ID: CR0196923
  • Format: Electronic (PDF)
  • Number of Pages: 211
  • Author(s): Joshi, Madhavi

Report Overview

The Smart Agriculture Market size was estimated at USD 15 billion in 2023 and is projected to reach USD 30 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 10.80% during the forecast period (2024-2030).

Smart Agriculture Market

(Market Size)
$15 billion
$30 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 10.80%
2023 Market Size USD 15 billion
2030 Market Size USD 30 billion
Key Players Deere & Company, Trimble, Raven

Market Summary

The Smart Agriculture Market represents a transformative segment within the Food and Beverages industry, leveraging advanced technologies to enhance farm productivity and operational efficiency. This market integrates solutions like IoT sensors, GPS, drones, and data analytics to enable precision farming, optimizing resource use such as water, fertilizers, and pesticides. The primary objective is to address global challenges like food security, climate change, and labor shortages by making agricultural practices more data-driven and sustainable. Key stakeholders include agricultural enterprises, technology providers, and food processing companies seeking to improve yield quality and supply chain transparency. The adoption of smart agriculture is accelerating as farmers and agribusinesses recognize the long-term benefits of reduced environmental impact and increased profitability. This evolution is fundamentally reshaping traditional farming into a technologically advanced sector, crucial for meeting the demands of a growing global population.

Key Highlights

The Smart Agriculture Market is characterized by the proliferation of IoT-based systems that provide real-time monitoring of crop health, soil conditions, and weather patterns. Major advancements include autonomous tractors and harvesting equipment, which reduce human labor dependency and enhance precision. Another highlight is the integration of big data and AI for predictive analytics, allowing farmers to make informed decisions on planting, irrigation, and harvesting. Companies like John Deere, Trimble, and DeLaval are at the forefront, offering innovative solutions that cater to large-scale and smallholder farms alike. The market also sees growing partnerships between agtech startups and established agricultural giants to accelerate innovation. These developments are driving a significant shift towards sustainable practices, reducing waste and minimizing the ecological footprint of farming operations.

Drivers, Opportunities & Restraints

Key drivers propelling the Smart Agriculture Market include the increasing global demand for food, necessitating higher agricultural output, and the urgent need for sustainable farming practices due to environmental concerns. Technological advancements in AI, machine learning, and connectivity solutions are making smart tools more accessible and affordable. Opportunities abound in emerging economies where government initiatives support modern agricultural techniques, and in the development of customized solutions for specific crops and regions. However, the market faces restraints such as the high initial investment required for advanced technologies, which can be a barrier for small-scale farmers. Additionally, issues related to data privacy and the lack of technical expertise among traditional farmers hinder widespread adoption. Despite these challenges, the growing emphasis on climate-resilient agriculture presents significant growth prospects.

Concentration Insights

The Smart Agriculture Market exhibits a concentrated competitive landscape with a mix of established technology firms, agricultural machinery manufacturers, and specialized agtech startups dominating the scene. North America and Europe are leading in terms of adoption, driven by strong R&D capabilities and supportive regulatory frameworks. Companies such as AGCO Corporation, Raven Industries, and Topcon Positioning Systems hold substantial market shares through their comprehensive product portfolios and global distribution networks. The market is also witnessing increased merger and acquisition activities as larger players seek to integrate niche technologies. This concentration fosters innovation but also raises the entry barriers for new participants, emphasizing the need for strategic collaborations and investments in research to maintain a competitive edge.

Type Insights

In the Smart Agriculture Market, solutions are broadly categorized into hardware, software, and services. Hardware includes IoT devices, sensors, drones, and automated machinery that facilitate real-time data collection and field operations. Software encompasses platforms for data management, analytics, and farm management systems that process information to provide actionable insights. Services involve support, maintenance, and consulting offered by providers to ensure seamless implementation and operation. Precision farming tools, such as variable rate technology and yield monitoring systems, are widely adopted hardware types. Cloud-based software solutions are gaining traction for their scalability and accessibility, enabling farmers to monitor and manage operations remotely. The integration of these types is crucial for creating a cohesive smart farming ecosystem that enhances decision-making and operational efficiency.

Application Insights

Smart agriculture technologies find applications across various farming activities, including precision farming, livestock monitoring, smart greenhouse management, and aquaculture. Precision farming is the most prominent application, utilizing GPS and IoT to optimize planting, watering, and harvesting, thereby maximizing yield and reducing resource waste. Livestock monitoring employs sensors and RFID tags to track animal health, location, and productivity, improving herd management. Smart greenhouses use automated control systems to regulate climate, lighting, and irrigation, ensuring optimal growth conditions year-round. In aquaculture, sensors monitor water quality and feeding patterns to enhance productivity. These applications demonstrate the versatility of smart agriculture in addressing diverse agricultural needs, contributing to increased efficiency and sustainability across the Food and Beverages value chain.

Regional Insights

The adoption of smart agriculture varies significantly across regions, influenced by technological infrastructure, agricultural practices, and economic conditions. North America leads the market, driven by high farm mechanization levels, strong government support, and the presence of key players like John Deere and Trimble. Europe follows closely, with stringent environmental regulations promoting sustainable farming technologies. The Asia-Pacific region is experiencing rapid growth due to increasing population pressure, government initiatives promoting modern agriculture, and rising investments in agtech startups. Countries like China and India are focal points for market expansion. Latin America and the Middle East & Africa are emerging regions, where adoption is gradually increasing through pilot projects and international collaborations, aimed at improving food security and agricultural productivity.

Company Insights

Prominent companies in the Smart Agriculture Market include John Deere, renowned for its advanced machinery and precision farming solutions; Trimble, offering GPS-based technology for field and resource management; and AGCO Corporation, providing integrated equipment and data solutions. DeLaval specializes in dairy farming automation, while Raven Industries focuses on precision agriculture technology. Topcon Positioning Systems is a key player in agricultural mapping and control systems. These companies invest heavily in R&D to innovate and expand their product portfolios, often through strategic acquisitions of smaller agtech firms. Their strategies emphasize enhancing connectivity, data interoperability, and user-friendly interfaces to cater to the evolving needs of modern farmers, thereby strengthening their market positions and driving industry growth.

Recent Developments

Recent developments in the Smart Agriculture Market include the launch of AI-powered platforms by companies like IBM and Microsoft, which offer predictive analytics for crop management. John Deere has introduced autonomous tractors equipped with advanced sensing capabilities, revolutionizing field operations. Partnerships are increasingly common, such as collaborations between sensor manufacturers and software firms to create integrated solutions. There is a growing focus on sustainability, with developments in technologies that reduce carbon footprint, such as electric farm equipment and organic farming support tools. Additionally, regulatory approvals for drone usage in agriculture have expanded, enabling more widespread adoption for crop monitoring and spraying. These advancements reflect the market's dynamic nature and its alignment with global trends towards digitalization and environmental consciousness.

Report Segmentation

This report on the Smart Agriculture Market provides a detailed segmentation to offer comprehensive insights. It is segmented by type into hardware, software, and services, covering components like sensors, drones, farm management software, and support services. By application, it examines precision farming, livestock monitoring, smart greenhouses, and aquaculture, highlighting specific use cases and technological integrations. Geographically, the report analyzes North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa, assessing regional adoption patterns and growth potential. Each segment is evaluated based on technological trends, adoption rates, and key players, providing stakeholders with a granular understanding of market dynamics. This structured approach enables businesses to identify opportunities and tailor strategies to specific segments and regions.

FAQs

What is smart agriculture? Smart agriculture refers to the use of advanced technologies such as IoT, AI, GPS, and drones to optimize farming practices, improve efficiency, and enhance sustainability through data-driven decision-making.

What are the benefits of smart agriculture? Benefits include increased crop yields, reduced resource wastage, lower operational costs, enhanced environmental sustainability, and improved ability to monitor and manage farm operations in real time.

Which companies are leading in smart agriculture? Key players include John Deere, Trimble, AGCO Corporation, DeLaval, and Raven Industries, known for their innovative solutions in precision farming and agricultural automation.

How does smart agriculture help in sustainable farming? By enabling precise application of water, fertilizers, and pesticides, smart agriculture minimizes environmental impact, reduces chemical runoff, and promotes resource conservation, contributing to sustainable farming practices.

What technologies are used in smart agriculture? Technologies include IoT sensors for monitoring, GPS for navigation and mapping, drones for aerial imaging, AI and big data for analytics, and automated machinery for tasks like planting and harvesting.

Citius Research has developed a research report titled “Smart 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

• Smart 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 Smart 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.

Smart Agriculture Market Segmentation

Market Segmentation

Regions Covered

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

Smart Agriculture Market Analysis

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

• Overview of Smart Agriculture Market
• Research Methodology
• Executive Summary
• Market Dynamics of Smart 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 Smart Agriculture Market
• Cost and Gross Margin Analysis of Smart Agriculture Market
• Smart 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 “Smart 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.

Smart Agriculture Market Key Stakeholders

Below are the key stakeholders for the Smart Agriculture Market:

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

Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart Agriculture Market is expected to grow at a CAGR of XX% from 2023 to 2030.
For further details request a free sample copy of this report here.
For further details request a free sample copy of this report here.
For further details request a free sample copy of this report here.
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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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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 Smart 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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