IOT in 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: CR0196697
  • Format: Electronic (PDF)
  • Number of Pages: 183
  • Author(s): Joshi, Madhavi

Report Overview

The IOT in Agriculture Market size was estimated at USD 12.5 billion in 2023 and is projected to reach USD 25 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 11.20% during the forecast period (2024-2030).

IOT in Agriculture Market

(Market Size)
$12.5 billion
$25 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 11.20%
2023 Market Size USD 12.5 billion
2030 Market Size USD 25 billion
Key Players Deere & Company, Trimble, Raven Industries, AGCO, Topcon

Market Summary

The integration of Internet of Things technology in agriculture represents a transformative shift towards data-driven farming practices within the food and beverages industry. This market focuses on deploying interconnected devices, sensors, and software to monitor, automate, and optimize agricultural operations. Key applications include precision farming, livestock monitoring, smart greenhouses, and supply chain management, all aimed at enhancing productivity, sustainability, and resource efficiency. The adoption of IoT solutions enables real-time data collection on soil conditions, crop health, weather patterns, and equipment performance, empowering farmers to make informed decisions. This technological evolution addresses critical challenges such as rising global food demand, labor shortages, and the need for sustainable resource management. Leading agricultural technology companies and established equipment manufacturers are actively developing and deploying IoT platforms tailored for the agri-food sector. The market is characterized by continuous innovation in sensor technology, connectivity solutions like LPWAN, and advanced data analytics, driving the evolution of smart farming ecosystems globally.

Key Highlights

The IoT in agriculture market is distinguished by several pivotal developments that underscore its strategic importance. A primary highlight is the advancement in precision agriculture technologies, which utilize IoT sensors for variable rate application of water, fertilizers, and pesticides, significantly reducing waste and environmental impact. Another critical area is the proliferation of drone technology equipped with multispectral and thermal imaging sensors for crop scouting and health assessment, providing farmers with unprecedented aerial insights. The development of end-to-end farm management software platforms that integrate data from various IoT devices into a single dashboard is a major trend, offering holistic operational control. Furthermore, the emergence of IoT-based solutions for livestock monitoring, tracking health, location, and feeding patterns, is enhancing animal welfare and farm productivity. Partnerships between technology firms, such as IBM and John Deere, and agricultural corporations are accelerating the commercialization and scalability of IoT applications, ensuring robust and reliable solutions for modern farming challenges.

Drivers, Opportunities & Restraints

The growth of IoT in agriculture is propelled by several powerful drivers. The escalating global population and consequent rise in food demand necessitate higher agricultural yield and efficiency, which IoT technologies directly address through precision farming techniques. Increasing government initiatives and funding supporting smart agriculture and digital farming practices further stimulate market adoption. Additionally, the growing need for sustainable farming to conserve water and minimize chemical usage aligns perfectly with the capabilities of IoT systems for resource optimization. Significant opportunities exist in the expansion of IoT applications into emerging economies with large agricultural sectors, where technology penetration is still developing. The integration of artificial intelligence and machine learning with IoT data presents another substantial opportunity for predictive analytics and autonomous farming operations. However, the market faces restraints including the high initial investment required for IoT infrastructure, which can be a barrier for small-scale farmers. Concerns regarding data privacy and security, along with the lack of standardized communication protocols and interoperability between devices from different manufacturers, also pose challenges to seamless integration and widespread adoption.

Concentration Insights

The competitive landscape of the IoT in agriculture market features a diverse concentration of players, ranging from global technology giants to specialized ag-tech startups. Established technology companies like IBM, Microsoft, and Cisco Systems leverage their expertise in cloud computing, data analytics, and networking to offer powerful IoT platforms for agricultural applications. Simultaneously, traditional agriculture machinery manufacturers, including Deere & Company and AGCO Corporation, are integrating IoT capabilities into their equipment, creating smart, connected tractors and harvesters. A vibrant ecosystem of startups focuses on niche solutions, such as specific sensor technologies for soil health or animal monitoring, driving innovation. The market concentration is also influenced by strategic mergers and acquisitions, as larger firms seek to acquire specialized technology and expand their product portfolios. Collaborations between technology providers, telecom companies for connectivity solutions, and agricultural cooperatives are common, fostering an environment of co-creation and tailored solution development for different farming scales and geographies.

Type Insights

IoT solutions in agriculture are categorized based on the type of hardware, software, and services offered. The hardware segment encompasses a wide array of sensing devices, including soil moisture sensors, nutrient sensors, pH sensors, and climate sensors that monitor ambient temperature, humidity, and rainfall. This category also includes GPS devices for guidance and automation, RFID tags for livestock and asset tracking, and drones equipped with advanced imaging systems. The software segment is crucial, comprising platforms and applications for data management, analytics, and visualization. These software solutions process the vast amounts of data collected by hardware to generate actionable insights, predictive models, and automated control signals for irrigation systems or other machinery. The services segment includes support services such as system integration, consulting, maintenance, and managed services, which are essential for the deployment and ongoing operation of IoT systems. The interplay between these types creates comprehensive solutions that cater to the specific data and automation needs of modern agricultural enterprises.

Application Insights

The application of IoT technology spans the entire agricultural value chain, revolutionizing traditional practices. Precision farming stands as the most prominent application, utilizing sensor data to enable site-specific crop management, optimizing the use of inputs like water, fertilizers, and pesticides to maximize output and minimize environmental footprint. Livestock monitoring is another critical application, where IoT collars and tags track animal health, location, grazing patterns, and reproductive cycles, improving herd management and productivity. Smart greenhouses employ IoT systems to automatically control climate conditions, lighting, and irrigation based on real-time sensor data, ensuring optimal plant growth year-round. In supply chain and logistics, IoT devices provide granular tracking of produce from farm to fork, monitoring conditions like temperature and humidity to reduce spoilage and ensure food safety and quality. Other applications include water management for efficient irrigation, fleet management for agricultural machinery, and financial services using IoT data for insurance and lending risk assessment.

Regional Insights

The adoption and development of IoT in agriculture exhibit distinct regional patterns influenced by technological advancement, agricultural practices, and supportive policies. North America represents a highly mature market, characterized by large-scale farm operations and early adoption of advanced technologies. The presence of major technology firms and agricultural equipment manufacturers drives significant innovation and deployment in this region. Europe follows closely, with a strong emphasis on sustainable farming practices and strict regulatory frameworks, encouraging the use of IoT for resource conservation and environmental protection. The Asia-Pacific region is anticipated to witness rapid growth due to its vast agricultural base, increasing government support for modernizing farming techniques, and rising awareness about food security. Countries like China and India are investing heavily in smart agriculture initiatives. Latin America and the Middle East and Africa are emerging markets where adoption is growing, particularly in large commercial farms focused on export crops, though challenges related to infrastructure and investment remain.

Company Insights

The market landscape is shaped by a mix of prominent technology corporations and specialized agricultural technology firms. Deere & Company is a key player, integrating IoT into its machinery through its John Deere Operations Center platform, which enables data-driven farming decisions. AGCO Corporation offers its Fuse? connected services for precision farming. Technology leaders like IBM provide the IBM Watson IoT platform applied to agriculture for advanced analytics and weather insights. Cisco Systems offers networking solutions that form the backbone of many agricultural IoT deployments. Trimble Inc. delivers a suite of connected agriculture solutions focusing on guidance, steering, and data management. Beyond these giants, companies like Raven Industries develop specialized application control and autonomy technology. The startup ecosystem is also vibrant, with companies such as Farmers Edge and The Climate Corporation (a subsidiary of Bayer) providing digital farming platforms that leverage IoT data to offer insights on field health, weather, and crop performance, showcasing a dynamic and collaborative competitive environment.

Recent Developments

The IoT in agriculture market is dynamic, with continuous recent developments highlighting its evolution. A significant trend is the increasing integration of artificial intelligence and machine learning algorithms with IoT platforms to move beyond data collection to predictive and prescriptive analytics, enabling proactive decision-making. There has been a notable rise in partnerships and collaborations between telecom providers and ag-tech companies to enhance connectivity in rural areas, crucial for IoT functionality, through networks like LoRaWAN and NB-IoT. Recent product launches have focused on more affordable and scalable sensor solutions aimed at making the technology accessible to smallholder farmers. Developments in drone technology have advanced, with newer models offering longer flight times, higher resolution imaging, and more sophisticated data processing capabilities directly on the device. Furthermore, there is a growing emphasis on developing IoT solutions that promote regenerative agriculture practices, focusing on soil health and carbon sequestration, aligning with broader sustainability goals within the food and beverages industry.

Report Segmentation

This comprehensive market research report on IoT in Agriculture is meticulously segmented to provide a detailed and granular analysis of the industry. The segmentation is primarily based on component, encompassing hardware, software, and services, to analyze the market contribution and growth trends of each element. The application segment provides deep insights into key use cases such as precision farming, livestock monitoring, smart greenhouses, and supply chain management. Furthermore, the report offers a geographical segmentation, delivering a thorough regional analysis across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. This regional breakdown assesses the adoption rates, key players, and growth potential in each area. Additional segmentation may include analysis based on farm size and type, differentiating between large-scale commercial farms and small to medium-sized enterprises. This multi-faceted segmentation approach ensures that the report delivers targeted insights, enabling businesses and investors to understand specific market niches, identify growth opportunities, and formulate effective strategic plans tailored to different segments of the IoT in agriculture landscape.

FAQs

What is IoT in agriculture? IoT in agriculture refers to the use of interconnected sensors, devices, and software applications to collect, monitor, and analyze data from agricultural operations. This technology enables farmers to automate processes, optimize resource use, and make data-driven decisions to improve crop yield, livestock health, and overall farm efficiency and sustainability.

How is IoT used in farming? IoT is used in farming through various applications such as precision agriculture, where sensors monitor soil moisture and nutrient levels to guide irrigation and fertilization. It is also used for livestock tracking with GPS and RFID tags, drone-based crop health imaging, automated greenhouse climate control, and monitoring conditions during food transportation and storage in the supply chain.

What are the benefits of IoT in agriculture? The benefits include significantly increased operational efficiency and crop yields through precise resource application. It leads to major resource conservation, notably water and fertilizers, reducing waste and environmental impact. IoT enhances livestock management and health, provides real-time monitoring and alerts for quick response to issues, and improves supply chain transparency and food traceability from farm to consumer.

Who are the key players in agricultural IoT? The key players include established technology companies like IBM, Microsoft, and Cisco Systems that provide platform and connectivity solutions. Major agriculture machinery manufacturers such as Deere & Company and AGCO Corporation integrate IoT into their equipment. Specialized ag-tech firms like Trimble, Raven Industries, and digital farming platforms from The Climate Corporation and Farmers Edge are also significant contributors to the market.

What are the challenges of implementing IoT in agriculture? Key challenges include the substantial initial investment required for hardware, software, and network infrastructure, which can be prohibitive for smaller farms. Issues with reliable internet connectivity in remote rural areas can hinder data transmission. Concerns regarding data security and privacy of farm information exist. A lack of standardization can lead to interoperability problems between different systems, and there is often a need for technical training for farmers to effectively use and interpret the data from these advanced systems.

Citius Research has developed a research report titled “IOT in 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

• IOT in 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 IOT in 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.

IOT in Agriculture Market Segmentation

Market Segmentation

Regions Covered

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

IOT in Agriculture Market Analysis

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

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

IOT in Agriculture Market Key Stakeholders

Below are the key stakeholders for the IOT in Agriculture Market:

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

IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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 IOT in 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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