Automotive Gesture Recognition Systems 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: CR0186378
  • Format: Electronic (PDF)
  • Number of Pages: 177
  • Author(s): Joshi, Madhavi

Report Overview

The Automotive Gesture Recognition Systems Market size was estimated at USD 2.8 billion in 2023 and is projected to reach USD 7.5 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 15.50% during the forecast period (2024-2030).

Automotive Gesture Recognition Systems Market

(Market Size)
$2.8 billion
$7.5 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 2.8 billion
2030 Market Size USD 7.5 billion
Key Players Continental, Bosch, Harman, Visteon, Panasonic

Market Summary

The automotive gesture recognition systems market is a rapidly evolving segment within the automotive technology sector, focused on developing and integrating systems that allow drivers and passengers to control various vehicle functions through hand and finger movements. This technology enhances the human-machine interface (HMI) by providing a touchless, intuitive method of interaction, reducing driver distraction and improving overall safety and convenience. The systems utilize advanced sensors, including 3D time-of-flight cameras, infrared sensors, and sophisticated algorithms powered by artificial intelligence and machine learning to accurately detect and interpret gestures. Major automotive manufacturers and technology suppliers are heavily investing in this technology to differentiate their vehicles in a competitive market and cater to the growing consumer demand for advanced, smart features. The integration of gesture control is often part of a broader suite of advanced driver-assistance systems (ADAS) and infotainment solutions, positioning it as a key innovation in the journey towards semi-autonomous and fully autonomous driving.

Key Highlights

The automotive gesture recognition systems market is characterized by several key technological advancements and strategic industry movements. A significant highlight is the shift from basic two-dimensional touch-based systems to complex three-dimensional touchless interfaces, offering a more robust and user-friendly experience. Leading premium automakers such as BMW, Mercedes-Benz, and Volkswagen have been pioneers, incorporating gesture control for functions like adjusting volume, answering calls, and navigating infotainment menus. The technology's core components, including sensors and control units, are seeing rapid innovation from key suppliers like NXP Semiconductors, Microchip Technology, and Ultraleap, who are developing more accurate and cost-effective solutions. Another critical highlight is the convergence of gesture recognition with other interior sensing technologies, such as driver monitoring systems, to create a comprehensive in-cabin monitoring solution that assesses occupant state and intent, further elevating vehicle safety and personalization.

Drivers, Opportunities & Restraints

The growth of the automotive gesture recognition market is propelled by several powerful drivers. The paramount driver is the escalating consumer demand for enhanced in-vehicle experiences and connected car features, which pushes OEMs to integrate sophisticated HMIs. Furthermore, stringent government regulations aimed at improving road safety by minimizing driver distraction provide a significant impetus for adopting touchless control systems. The rising production of premium and luxury vehicles, which serve as early adopters for such advanced technologies, also fuels market expansion. Key opportunities lie in the integration of artificial intelligence to improve gesture accuracy and learning capabilities, and the potential expansion of this technology into mid-range and economy vehicle segments as component costs decrease. However, the market faces notable restraints, including the high initial cost of development and integration of these complex systems, which can limit adoption to higher-end models. Technical challenges such as ensuring high accuracy under varying lighting conditions and preventing false activations remain significant hurdles that industry players must continuously address.

Concentration Insights

The competitive landscape of the automotive gesture recognition systems market is concentrated among a mix of established automotive OEMs and specialized technology suppliers. From a regional perspective, development and early adoption are highly concentrated in technologically advanced regions, particularly Europe and North America, where leading premium car manufacturers are headquartered. Germany stands out as a central hub for innovation and integration, with companies like BMW and Volkswagen AG at the forefront. The supplier ecosystem is also concentrated, with a few key players dominating the provision of core components like sensors and software. Companies such as NXP Semiconductors, Infineon Technologies, and Qualcomm Incorporated provide the essential semiconductor technology, while specialists like Ultraleap focus on the software and algorithm development. This concentration creates a high barrier to entry for new players, but also fosters intense competition and rapid innovation among the established leaders, who are constantly striving to enhance system performance and reduce costs.

Type Insights

Automotive gesture recognition systems are primarily categorized based on the technology used for detection. The main types include touch-based systems and touchless systems, with the latter dominating current market interest and development. Touchless systems can be further broken down into technologies such as capacitive sensing, infrared sensing, and camera-based recognition. Capacitive sensing detects changes in an electrical field caused by hand movements, while infrared systems use light to map gestures. Camera-based systems, often employing 3D time-of-flight (ToF) cameras, are among the most advanced, creating a depth map of the interior cabin to precisely track hand and finger movements in three dimensions. Ultrasonic sensors represent another, less common type, using sound waves for detection. The choice of technology depends on factors like cost, desired accuracy, and the specific functions to be controlled. The industry trend is decisively moving towards multi-modal systems that combine camera-based recognition with other sensors to achieve superior reliability and a wider range of detectable gestures.

Application Insights

The application of gesture recognition systems in automobiles is diverse, primarily enhancing the infotainment and climate control systems to minimize physical contact with buttons and screens. Common applications include controlling audio volume, navigating through music playlists, answering or rejecting incoming phone calls, and adjusting climate control settings like temperature and fan speed. More advanced implementations allow for navigation map zooming and rotation, sunroof control, and personalized gesture shortcuts that can trigger a sequence of actions. A critical and growing application area is in conjunction with augmented reality head-up displays (AR HUDs), where drivers can interact with virtual projections. Furthermore, these systems are increasingly being developed for critical vehicle functions, though this requires an exceptionally high level of accuracy and reliability to ensure safety. The application scope is continually expanding as the technology matures, moving from convenience features towards becoming an integral part of the vehicle's safety and operational interface.

Regional Insights

The adoption and development of automotive gesture recognition technology exhibit distinct regional patterns influenced by economic strength, consumer preferences, and the presence of automotive manufacturing hubs. Europe is the undeniable leader and early adopter in this market, driven by the strong presence of premium German automakers like BMW, Audi, and Mercedes-Benz, who have aggressively integrated this technology into their flagship models. North America follows closely, with high consumer acceptance of advanced technologies and significant investments by US-based tech companies and automakers like General Motors and Ford. The Asia-Pacific region represents the fastest-growing market, fueled by the expansive automotive production in China, Japan, and South Korea. Countries like China and India present a massive growth opportunity due to rising disposable incomes and a growing appetite for luxury vehicles equipped with advanced features. However, adoption rates in these price-sensitive markets are closely tied to the ability of suppliers to reduce system costs.

Company Insights

The automotive gesture recognition systems market features a competitive ecosystem comprising leading automotive original equipment manufacturers (OEMs) and a vital network of technology suppliers and specialists. On the OEM front, BMW AG is widely recognized as a pioneer, having introduced one of the first commercial gesture control systems. Other prominent automakers actively integrating and developing this technology include Volkswagen AG, Daimler AG (Mercedes-Benz), and Hyundai Motor Group. The technological backbone is provided by key suppliers such as NXP Semiconductors, a major provider of microcontroller and sensor solutions; Microchip Technology, known for its touch and gesture controllers; and Infineon Technologies, which supplies advanced sensors. Pure-play technology firms like Ultraleap (formerly Leap Motion) are crucial innovators, focusing on software and hand-tracking technology. These companies are engaged in extensive research and development, as well as strategic partnerships and acquisitions, to enhance their product offerings and capture a larger share of this emerging market.

Recent Developments

The automotive gesture recognition market is dynamic, with recent developments focused on enhancing sophistication, accuracy, and integration. A prominent trend is the move towards AI-powered systems that can learn and adapt to individual user's gesture patterns, thereby reducing errors and improving the user experience. There is a strong industry push to develop systems that can recognize a wider vocabulary of more complex and dynamic gestures, moving beyond simple swipes and rotations. Another significant development is the fusion of gesture recognition with other interior sensing modalities, such as eye-tracking and voice recognition, to create a context-aware and multi-modal HMI that can understand user intent more holistically. Suppliers are also working on reducing the system's power consumption and physical footprint to make it more viable for a wider range of vehicle models. Furthermore, collaborations between automotive OEMs and consumer electronics giants are increasing, leveraging expertise from smartphones and other devices to accelerate innovation in the automotive space.

Report Segmentation

This comprehensive market research report on the automotive gesture recognition systems market provides a detailed analysis segmented across multiple dimensions to offer a granular view of the industry. The segmentation allows stakeholders to understand specific trends and forecasts within niche areas. The report is meticulously categorized by technology type, distinguishing between touch-based and touchless systems, with further breakdowns into infrared, ultrasonic, capacitive, and camera-based recognition. It is segmented by authentication type, covering hand and finger recognition. The application segmentation provides insights into adoption across infotainment systems, climate control, navigation systems, and other vehicle functions. Furthermore, the report offers a detailed regional analysis, segmenting the market into key geographies including North America, Europe, Asia-Pacific, and the Rest of the World, with country-level analysis for major markets such as the US, Germany, China, and Japan. This multi-faceted segmentation provides a strategic tool for understanding growth pockets and making informed business decisions.

FAQs

What is automotive gesture recognition? Automotive gesture recognition is a technology that enables drivers and passengers to control various vehicle functions, such as infotainment or climate systems, through predefined hand and finger movements without physical touch, enhancing convenience and reducing distraction.

How does gesture control work in a car? Gesture control systems in cars typically use infrared cameras or 3D sensors located in the cabin roof or dashboard to emit light and capture the reflection from a user's hand. Sophisticated software algorithms then interpret the specific motion and translate it into a command for the vehicle.

Which cars have gesture control? Several premium vehicles feature gesture control, including various models from BMW (e.g., 7 Series, 5 Series, X7), certain Mercedes-Benz vehicles, the Volkswagen ID. series, and select models from Hyundai, Kia, and Genesis.

What are the benefits of gesture recognition in vehicles? The primary benefits include a reduction in driver distraction by minimizing the need to look away from the road to find physical buttons, an enhanced and modern user experience, improved hygiene through touchless interaction, and the potential for personalized vehicle settings.

What are the challenges of gesture recognition systems? Key challenges include achieving high accuracy and reliability under all lighting conditions, preventing false activations, the high cost of system integration, and the current limitation in the number and complexity of gestures that can be reliably recognized.

What is the future of gesture control in cars? The future involves more advanced systems powered by AI that can learn and adapt to individual users, recognition of a much wider and more intuitive range of gestures, and deeper integration with other technologies like augmented reality displays and autonomous driving systems for a seamless human-machine interface.

Citius Research has developed a research report titled “Automotive Gesture Recognition Systems 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

• Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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.

Automotive Gesture Recognition Systems Market Segmentation

Market Segmentation

Regions Covered

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

Automotive Gesture Recognition Systems Market Analysis

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

• Overview of Automotive Gesture Recognition Systems Market
• Research Methodology
• Executive Summary
• Market Dynamics of Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems Market
• Cost and Gross Margin Analysis of Automotive Gesture Recognition Systems Market
• Automotive Gesture Recognition Systems 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 “Automotive Gesture Recognition Systems 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.

Automotive Gesture Recognition Systems Market Key Stakeholders

Below are the key stakeholders for the Automotive Gesture Recognition Systems Market:

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

Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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 Automotive Gesture Recognition Systems 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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