Robo-Taxi 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: CR0186197
  • Format: Electronic (PDF)
  • Number of Pages: 204
  • Author(s): Joshi, Madhavi

Report Overview

The Robo-Taxi Market size was estimated at USD 1.8 billion in 2023 and is projected to reach USD 12 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 28.50% during the forecast period (2024-2030).

Robo-Taxi Market

(Market Size)
$1.8 billion
$12 billion
2023
2030
Source: Citius Research
Study Period 2018 - 2030
Base Year For Estimation 2023
Forecast Data Period 2024 - 2030
CAGR (2024-2030) 28.50%
2023 Market Size USD 1.8 billion
2030 Market Size USD 12 billion
Key Players Waymo, Cruise, Tesla, Mobileye, Baidu

Market Summary

The robo-taxi market represents a transformative segment within the automotive and transportation industry, centered on the development and deployment of autonomous vehicles for ride-hailing services. This market is driven by significant technological advancements in artificial intelligence, sensor fusion, and machine learning, which enable vehicles to navigate complex urban environments without human intervention. Companies are actively testing and refining their autonomous driving systems, with pilot programs operational in several cities globally. The core value proposition involves enhancing urban mobility by providing a safer, more efficient, and cost-effective transportation alternative. The ecosystem comprises technology developers, automotive manufacturers, ride-hailing service providers, and regulatory bodies, all collaborating to bring this disruptive technology to commercialization. The long-term vision is to create a shared, on-demand mobility service that reduces traffic congestion and environmental impact while improving accessibility.

Key Highlights

Key highlights of the robo-taxi market include the intense competition among leading technology and automotive companies such as Waymo, Cruise, and Tesla, each striving to achieve full autonomy. A significant milestone is the commencement of commercial operations, albeit in limited geofenced areas, demonstrating the practical viability of the technology. Partnerships between traditional automakers like General Motors and tech firms are accelerating development and scaling efforts. Another critical highlight is the progressive evolution of regulatory frameworks in regions like the United States and parts of Europe, which are beginning to permit and standardize the operation of autonomous vehicles on public roads. Investment inflow remains substantial, with billions of dollars allocated to research, development, and infrastructure necessary for supporting autonomous fleets, including advanced telecommunication networks like 5G for vehicle-to-everything communication.

Drivers, Opportunities & Restraints

Primary drivers propelling the robo-taxi market include the pursuit of enhanced road safety through the reduction of human error, which is a leading cause of accidents. Technological advancements in computing power and sensor technology are continuously lowering costs and improving reliability, making autonomous systems more feasible. Growing urbanization and the associated challenges of traffic congestion and pollution are pushing cities to seek innovative mobility solutions. Significant opportunities exist in revolutionizing public transportation, offering mobility-as-a-service, and creating new business models around data and in-vehicle experiences. However, the market faces considerable restraints, including high development costs, technological challenges in achieving Level 5 autonomy under all conditions, and cybersecurity vulnerabilities. Furthermore, public acceptance and trust in the technology, along with the creation of a comprehensive legal and liability framework, present substantial hurdles that must be overcome for widespread adoption.

Concentration Insights

The concentration of the robo-taxi market is notably high in North America, particularly in the United States, where a majority of leading companies are headquartered and conduct extensive testing. Silicon Valley serves as a central hub for innovation, attracting talent and investment. However, other regions are rapidly emerging as significant players. Asia-Pacific, led by China, is witnessing aggressive investment and government support for autonomous vehicle development, with companies like Baidu launching their own robo-taxi services. Europe also maintains a strong presence, with robust automotive industries in Germany and the UK actively engaged in developing autonomous technology, often through collaborations between premium automakers and tech suppliers. This concentration is influenced by factors such as regulatory support, availability of venture capital, and the presence of a strong technological and automotive manufacturing base.

Type Insights

The market is segmented by the type of vehicle used, primarily into cars and shuttle vans. The car segment, including sedans and compact vehicles, dominates current testing and early commercial deployments due to their agility and suitability for urban environments. Companies like Waymo and Cruise primarily utilize modified passenger vehicles for their fleets. Conversely, the shuttle segment is gaining traction for its application in first-and-last-mile solutions and fixed-route services within controlled areas like campuses, airports, and business parks. These larger vehicles are designed to carry more passengers and are often electric, aligning with sustainability goals. The choice between car and shuttle type is dictated by the specific use case, target passenger capacity, operational geofence, and the business model, whether it is for on-demand point-to-point travel or scheduled group transit.

Application Insights

Robo-taxi applications are broadly categorized into passenger transport and goods transport. Passenger transport is the primary and most discussed application, aiming to disrupt the traditional taxi and ride-hailing industry by providing a driverless service. This application focuses on convenience, safety, and affordability for individual and shared rides. The goods transport application, while less prominent, presents a substantial opportunity for automating package delivery and logistics. Autonomous vehicles can be deployed for last-mile delivery services, operating alongside traditional delivery networks to increase efficiency and reduce costs. This dual application potential significantly expands the total addressable market for autonomous vehicle technology beyond just moving people, tapping into the vast and growing e-commerce and logistics sectors.

Regional Insights

Regionally, North America is at the forefront of the robo-taxi market, characterized by supportive regulatory sandboxes in states like Arizona and California, and the presence of tech giants. The United States leads in terms of miles driven autonomously and the number of permits issued for testing. Asia-Pacific is anticipated to be the fastest-growing region, fueled by strong governmental initiatives in China aimed at becoming a world leader in AI and autonomous driving. European markets are progressing steadily, with a strong emphasis on safety, security, and standardization, led by countries like Germany and the UK. Other regions, including the Middle East, are also exploring pilot projects, often as part of smart city initiatives. Each region presents a unique set of regulatory, infrastructural, and consumer acceptance challenges that shape the pace of market development.

Company Insights

The competitive landscape of the robo-taxi market features a mix of technology companies and established automotive manufacturers. Alphabet's subsidiary Waymo is widely considered a leader, having launched a commercial service and accumulated millions of autonomous miles. General Motors' Cruise is another key player, backed by significant automotive manufacturing expertise and investment. Tesla is pursuing a distinct vision with its owner-operated fleet model. Other notable entities include Aurora Innovation, which acquired Uber's self-driving unit, and Argo AI, backed by Ford and Volkswagen. Traditional automakers like BMW, Daimler, and Volvo are also deeply invested, often through partnerships or acquisitions, to ensure they are not displaced by new mobility paradigms. This diverse ecosystem ensures intense competition and rapid innovation.

Recent Developments

Recent developments in the robo-taxi market are marked by significant technological milestones and strategic business moves. Several companies have received permits to charge for fully driverless rides in specific cities, moving beyond free pilot programs. There has been a trend of consolidation through acquisitions, as larger players seek to acquire talent and technology to accelerate their roadmaps. Partnerships between autonomous vehicle developers and ride-hailing platforms like Uber and Lyft are becoming more common to integrate this technology into existing mobility networks. Furthermore, advancements in simulation software and validation processes are allowing companies to accelerate testing and improve the safety and reliability of their systems without solely relying on physical road miles, which is a critical step towards scaling the technology.

Report Segmentation

This comprehensive market report on robo-taxis is meticulously segmented to provide a detailed analysis of the industry landscape. The segmentation is based on several critical parameters to cater to strategic decision-making. It is divided by component, encompassing hardware such as LiDAR, radar, cameras, and GPS, alongside essential software and services. The vehicle type segmentation distinguishes between cars and shuttles, analyzing the adoption and growth prospects for each. Application-wise, the report provides distinct insights into the passenger transport and goods transport segments. Furthermore, a thorough regional analysis breaks down the market presence and growth potential across North America, Europe, Asia-Pacific, and the Rest of the World. This multi-faceted segmentation offers stakeholders a granular view of the market dynamics and opportunities within each niche.

FAQs

What is a robo-taxi? A robo-taxi is an autonomous vehicle, typically an electric car or shuttle, designed to provide on-demand transportation services without a human driver. It uses a combination of sensors, artificial intelligence, and connectivity to navigate roads and transport passengers or goods safely.

Are self-driving taxis safe? The safety of self-driving taxis is a primary focus for developers. Proponents argue that by eliminating human error, they have the potential to be significantly safer than human-driven vehicles. However, the technology is still being perfected and rigorously tested under diverse conditions to achieve and demonstrate a high level of reliability before widespread deployment.

Which companies are making robotaxis? Numerous companies are actively developing robo-taxi technology. Key players include technology-focused firms like Waymo and Cruise, automotive manufacturers such as General Motors, Tesla, and Ford through its investment in Argo AI, and other entrants like Aurora Innovation and Baidu in China.

How do robotaxis work? Robo-taxis operate using a sophisticated suite of sensors, including LiDAR, radar, and cameras, to create a 360-degree view of their environment. This data is processed by powerful onboard computers running advanced algorithms and AI models that identify objects, predict behavior, and make real-time navigation decisions to safely reach the destination.

Where are robotaxis available? As of now, commercial robo-taxi services are available only in very limited, geofenced areas within select cities in the United States, such as Phoenix and San Francisco, and in parts of China. These services are often limited to specific neighborhoods and operate under strict regulatory oversight.

What are the benefits of robotaxis? The proposed benefits of robo-taxis are multifaceted. They aim to improve road safety by reducing accidents caused by human error, increase mobility access for those unable to drive, reduce traffic congestion through optimized routing and shared rides, and lower transportation costs over the long term by removing the need for a human driver.

Citius Research has developed a research report titled “Robo-Taxi 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

• Robo-Taxi 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 Robo-Taxi 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.

Robo-Taxi Market Segmentation

Market Segmentation

Regions Covered

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

Robo-Taxi Market Analysis

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

• Overview of Robo-Taxi Market
• Research Methodology
• Executive Summary
• Market Dynamics of Robo-Taxi 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 Robo-Taxi Market
• Cost and Gross Margin Analysis of Robo-Taxi Market
• Robo-Taxi 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 “Robo-Taxi 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.

Robo-Taxi Market Key Stakeholders

Below are the key stakeholders for the Robo-Taxi Market:

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

Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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 Robo-Taxi 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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