Vehicle Analytics 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: CR0187277
  • Format: Electronic (PDF)
  • Number of Pages: 194
  • Author(s): Joshi, Madhavi

Report Overview

The Vehicle Analytics Market size was estimated at USD 3.5 billion in 2023 and is projected to reach USD 9 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 15.50% during the forecast period (2024-2030).

Vehicle Analytics Market

(Market Size)
$3.5 billion
$9 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 15.50%
2023 Market Size USD 3.5 billion
2030 Market Size USD 9 billion
Key Players IBM, Microsoft, SAP, Oracle, Genetec

Market Summary

The vehicle analytics market is a rapidly evolving segment within the automotive and transportation industry, driven by the increasing integration of advanced telematics, IoT sensors, and artificial intelligence in modern vehicles. This market focuses on the collection, processing, and analysis of vast amounts of data generated by vehicles to derive actionable insights for various stakeholders. Key applications include predictive maintenance, driver behavior monitoring, fleet management, and enhanced customer experience. The proliferation of connected vehicles and the growing emphasis on data-driven decision-making are major factors propelling market growth. Companies are leveraging vehicle analytics to optimize operations, reduce costs, improve safety, and comply with regulatory standards. The market is characterized by continuous technological advancements and the adoption of cloud-based platforms for real-time data analysis. As automotive manufacturers and fleet operators increasingly recognize the value of data, the demand for sophisticated analytics solutions is expected to rise significantly.

Key Highlights

The vehicle analytics market is distinguished by several key highlights that underscore its importance and potential. One of the most significant aspects is the integration of AI and machine learning algorithms, which enable predictive analytics for maintenance and fault detection, thereby reducing downtime and operational costs. Another highlight is the emphasis on real-time data processing, allowing for immediate insights into vehicle performance, fuel efficiency, and driver behavior. The market also sees a strong trend towards the adoption of cloud-based analytics solutions, which offer scalability, flexibility, and cost-effectiveness for businesses of all sizes. Additionally, the growing focus on electric and autonomous vehicles is driving the need for advanced analytics to manage battery health, charging patterns, and autonomous driving systems. Companies like Verizon Connect, Geotab, and IBM are leading the charge with innovative platforms that cater to diverse industry needs. The convergence of telematics and big data analytics is creating new opportunities for enhancing road safety, reducing emissions, and improving overall transportation efficiency.

Drivers, Opportunities & Restraints

The vehicle analytics market is propelled by several key drivers, including the rising adoption of connected vehicles, which generate extensive data that can be harnessed for insights. The increasing demand for operational efficiency in fleet management is another significant driver, as businesses seek to optimize routes, monitor driver behavior, and reduce fuel consumption. Stringent government regulations related to vehicle safety and emissions are also encouraging the use of analytics to ensure compliance and avoid penalties. Opportunities in this market abound, particularly in the development of advanced analytics for autonomous vehicles, which require sophisticated data processing for navigation and decision-making. The expansion of smart city initiatives presents another lucrative opportunity, as urban planners leverage vehicle data to improve traffic management and reduce congestion. However, the market faces restraints such as data privacy and security concerns, as the collection and transmission of vehicle data raise issues about unauthorized access and misuse. High initial investment costs for deploying analytics solutions can also be a barrier for small and medium-sized enterprises. Additionally, the lack of standardized protocols for data sharing and interoperability may hinder market growth.

Concentration Insights

The vehicle analytics market exhibits a concentrated competitive landscape, with a few major players dominating due to their extensive technological expertise and global reach. Companies such as Verizon Connect, Geotab, and IBM have established strong positions by offering comprehensive analytics platforms that integrate seamlessly with existing telematics systems. These leaders focus on continuous innovation, often through partnerships and acquisitions, to enhance their product offerings and expand their market share. For instance, Verizon Connect has acquired several telematics companies to bolster its analytics capabilities, while Geotab has formed alliances with automotive manufacturers to embed its technology in new vehicles. The market also sees significant participation from specialized analytics firms like Inseego and Trimble, which cater to niche segments such as commercial fleets and agricultural vehicles. Regional players are emerging in markets like Asia-Pacific, where local companies are developing tailored solutions to address specific regional needs. This concentration of expertise and resources among key players creates a high barrier to entry for new entrants, but also drives rapid technological advancements and competitive pricing.

Type Insights

The vehicle analytics market can be segmented based on the type of analytics solutions offered, which include descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics involves the processing of historical data to understand past events and trends, such as vehicle usage patterns and maintenance history. Diagnostic analytics goes a step further by identifying the root causes of issues, such as why a particular vehicle has higher fuel consumption or frequent breakdowns. Predictive analytics utilizes machine learning algorithms to forecast future events, such as potential component failures or optimal maintenance schedules, thereby enabling proactive measures. Prescriptive analytics provides recommendations for actions based on predictive insights, such as suggesting the best routes to avoid traffic or advising on driver training programs to improve safety. The adoption of these analytics types varies across industries; for example, fleet operators heavily rely on predictive and prescriptive analytics to enhance efficiency, while automotive manufacturers use descriptive and diagnostic analytics for quality control and product development. The integration of these analytics types into unified platforms is becoming increasingly common, offering businesses a holistic view of their vehicle operations.

Application Insights

Vehicle analytics finds applications across a wide range of sectors within the automotive and transportation industry. In fleet management, analytics is used to monitor vehicle health, track location, optimize routes, and manage fuel consumption, leading to significant cost savings and improved operational efficiency. Insurance companies leverage vehicle data to develop usage-based insurance models, where premiums are calculated based on actual driving behavior rather than traditional factors. Automotive manufacturers employ analytics for quality control, warranty analysis, and to gain insights into customer preferences, which inform future product designs. In the realm of smart cities, vehicle analytics contributes to traffic management systems by analyzing data from connected vehicles to reduce congestion and enhance public safety. Additionally, ride-sharing and logistics companies use analytics to match supply with demand, predict ride patterns, and ensure timely deliveries. The application of vehicle analytics is also expanding into electric vehicles, where it is used to monitor battery performance, predict charging needs, and manage energy consumption. As technology advances, new applications are emerging, such as in autonomous vehicles, where analytics is critical for real-time decision-making and navigation.

Regional Insights

The vehicle analytics market demonstrates distinct regional variations influenced by factors such as technological adoption, regulatory frameworks, and infrastructure development. North America holds a significant share of the market, driven by the early adoption of connected vehicle technologies, presence of major analytics providers, and stringent government regulations on vehicle safety and emissions. The United States, in particular, is a hub for innovation, with companies like Verizon Connect and Geotab leading the way. Europe follows closely, with strong growth fueled by the European Union's focus on reducing carbon emissions and improving road safety through initiatives like the General Safety Regulation. Countries like Germany and the UK are at the forefront, with automotive manufacturers integrating analytics into their vehicles. The Asia-Pacific region is expected to witness the fastest growth, owing to rapid urbanization, increasing vehicle production, and rising demand for fleet management solutions in countries like China and India. Latin America and the Middle East are also emerging markets, where growing investments in transportation infrastructure and smart city projects are creating new opportunities for vehicle analytics adoption.

Company Insights

The vehicle analytics market is characterized by the presence of several key players who are driving innovation and shaping industry trends. Verizon Connect is a prominent player known for its comprehensive fleet management solutions that integrate advanced analytics for real-time tracking and performance monitoring. Geotab specializes in telematics and offers a robust platform that provides insights into driver behavior, fuel efficiency, and vehicle health. IBM leverages its expertise in artificial intelligence and cloud computing to deliver predictive analytics solutions for automotive manufacturers and fleet operators. Other significant companies include Inseego, which focuses on connected vehicle solutions for commercial fleets, and Trimble, which offers analytics for transportation and logistics. These companies compete on factors such as technological innovation, product features, and global reach. Strategic partnerships and acquisitions are common, as firms seek to enhance their capabilities and expand their market presence. For example, Verizon Connect has acquired several telematics companies to strengthen its analytics offerings, while Geotab has collaborated with automotive OEMs to integrate its technology into new vehicles. The competitive landscape is dynamic, with continuous advancements in AI, machine learning, and IoT driving further innovation.

Recent Developments

The vehicle analytics market has witnessed several recent developments that highlight its dynamic nature and growth potential. One notable trend is the increasing integration of artificial intelligence and machine learning to enhance predictive capabilities, allowing for more accurate forecasting of maintenance needs and operational issues. Companies are also focusing on developing cloud-based analytics platforms that offer greater scalability and accessibility, enabling businesses to manage large volumes of data efficiently. Another significant development is the rise of partnerships between analytics providers and automotive manufacturers to embed analytics solutions directly into vehicles, providing real-time insights from the point of manufacture. For instance, Geotab has partnered with several OEMs to integrate its telematics technology into new models. Additionally, there is a growing emphasis on data security and privacy, with companies investing in advanced encryption and cybersecurity measures to protect sensitive vehicle data. The market is also seeing increased investment in electric vehicle analytics, as demand for EVs grows and requires specialized monitoring of battery performance and charging infrastructure. These developments reflect the industry's commitment to innovation and adaptation to emerging trends.

Report Segmentation

This report on the vehicle analytics market provides a detailed segmentation to offer comprehensive insights into various aspects of the industry. The market is segmented by type of analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, each catering to different business needs and applications. Another segmentation is based on deployment mode, covering cloud-based and on-premises solutions, with cloud-based deployments gaining popularity due to their flexibility and cost-effectiveness. The report also segments the market by application, such as fleet management, insurance, automotive manufacturing, and smart cities, highlighting the diverse use cases and value propositions. Additionally, segmentation by vehicle type includes passenger vehicles, commercial vehicles, and electric vehicles, each with unique analytics requirements. Regional segmentation covers North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa, providing insights into geographical trends and opportunities. This structured approach ensures that readers gain a thorough understanding of the market dynamics, key drivers, and future prospects across different segments.

FAQs

What is vehicle analytics? Vehicle analytics involves the collection and analysis of data from vehicles using advanced technologies like IoT sensors and AI to derive insights for improving safety, efficiency, and operational performance.

How does vehicle analytics benefit fleet management? It helps fleet operators monitor vehicle health, optimize routes, track driver behavior, and reduce fuel consumption, leading to cost savings and enhanced efficiency.

What are the key technologies driving the vehicle analytics market? Artificial intelligence, machine learning, telematics, and cloud computing are major technologies enabling advanced data processing and real-time insights.

Which industries use vehicle analytics? Industries such as transportation and logistics, automotive manufacturing, insurance, and smart city development utilize vehicle analytics for various applications.

What are the challenges in adopting vehicle analytics? Challenges include data privacy concerns, high initial investment costs, and the lack of standardized data protocols.

How is vehicle analytics used in electric vehicles? It monitors battery performance, predicts charging needs, and manages energy consumption to optimize the operation and maintenance of electric vehicles.

Citius Research has developed a research report titled “Vehicle Analytics 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

• Vehicle Analytics 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 Vehicle Analytics 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.

Vehicle Analytics Market Segmentation

Market Segmentation

Regions Covered

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

Vehicle Analytics Market Analysis

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

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

Vehicle Analytics Market Key Stakeholders

Below are the key stakeholders for the Vehicle Analytics Market:

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

Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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 Vehicle Analytics 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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