세계의 자동차용 제스처 인식 시스템 시장 : 컴포넌트, 인증 유형, 용도별 예측(2025-2030년)

The Automotive Gesture Recognition Systems Market was valued at USD 1.49 billion in 2023, expected to reach USD 1.67 billion in 2024, and is projected to grow at a CAGR of 12.35%, to USD 3.37 billion by 2030.

Automotive Gesture Recognition Systems (AGRS) are innovative control systems that enable drivers to manage vehicle functions through hand and finger movements, improving user-vehicle interaction and enhancing safety by reducing distractions. The necessity for AGRS arises from the automotive industry's shift towards advanced driver-assistance systems (ADAS) and autonomous vehicles, aiming to provide seamless, intuitive user interfaces. Applications extend across infotainment systems, navigation, and even basic vehicle controls like climate adjustment and communications, significantly enhancing driving safety and comfort. The end-use scope spans luxury to mid-segment vehicles, given the rising consumer demand for enhanced in-cabin experience and convenience. Key growth influencers include the increasing integration of technology in vehicles, consumer inclination towards comfort and convenience, and stringent safety regulations pushing automakers towards innovative solutions that minimize driver distraction.

The market is witnessing potential opportunities due to advancements in sensor technologies and artificial intelligence (AI), which are crucial in refining gesture recognition accuracy and reliability. Recommendations for industry players include investing in AI and machine learning to enhance gesture recognition accuracy, as well as collaborating with tech companies to integrate cross-functional capabilities. Markets in Asia-Pacific and Europe present lucrative growth avenues due to burgeoning automotive manufacturing and tech-savvy populations. However, market growth is challenged by high implementation costs and concerns around system reliability and robustness under different driving conditions. Additionally, the market may face hurdles from cybersecurity vulnerabilities inherent in connected vehicle technologies.

Innovation is ripe in areas like the development of multi-modal HMI interfaces that integrate voice, touch, and gesture, creating comprehensive interaction platforms. Research into AI-driven adaptive systems that learn driver habits and preferences could unlock personalized UX, reinforcing market value. Overall, the AGRS market is dynamic, with a robust potential for growth, provided stakeholders address technical challenges and focus on enhancing reliability and affordability to reach broader markets.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Automotive Gesture Recognition Systems Market

The Automotive Gesture Recognition Systems Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising popularity of luxury and premium vehicles across the globe
  • Incresaing production and sales of automotives
  • Growing emphasis on driving safety and regulatory compliance
• Market Restraints
  • Associated huge cost of installation and maintenance of automotive gesture recognition system
• Market Opportunities
  • Integration of smart technology features in vehicles
  • Significant trend of autonomous and electric vehicles
• Market Challenges
  • Integration issues and technology awareness

Porter's Five Forces: A Strategic Tool for Navigating the Automotive Gesture Recognition Systems Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Automotive Gesture Recognition Systems Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Automotive Gesture Recognition Systems Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Automotive Gesture Recognition Systems Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Automotive Gesture Recognition Systems Market

A detailed market share analysis in the Automotive Gesture Recognition Systems Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Automotive Gesture Recognition Systems Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Automotive Gesture Recognition Systems Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Automotive Gesture Recognition Systems Market

A strategic analysis of the Automotive Gesture Recognition Systems Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Automotive Gesture Recognition Systems Market, highlighting leading vendors and their innovative profiles. These include Analog Devices, Inc., Apple Inc., Aptiv Global Operations Limited, Cipia Vision Ltd., Cognitec Systems GmbH by SALTO Group, Continental AG by Schaeffler Group, Elmos Semiconductor SE, Hyundai Motor Company, International Business Machines Corporation, LG Electronics, Neonode Inc., NXP Semiconductors N.V., Porsche by Volkswagen AG, Qualcomm Inc., Samsung Corporation, Siemens AG, SoftKinetic Technologies, Sony Corporation, STMicroelectronics, Synaptics Incorporated, Ultraleap Limited, Visage Technologies, and Visteon Corp..

Market Segmentation & Coverage

This research report categorizes the Automotive Gesture Recognition Systems Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Touch Based Systems and Touchless Systems.
• Based on Authentication Type, market is studied across Facial Recognition, Hand/Finger Print/Leg Recognition, and Vision/IRIS Recognition.
• Based on Application, market is studied across Lighting Systems and Multimedia/Infotainment/Navigation.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising popularity of luxury and premium vehicles across the globe
    • 5.1.1.2. Incresaing production and sales of automotives
    • 5.1.1.3. Growing emphasis on driving safety and regulatory compliance
  • 5.1.2. Restraints
    • 5.1.2.1. Associated huge cost of installation and maintenance of automotive gesture recognition system
  • 5.1.3. Opportunities
    • 5.1.3.1. Integration of smart technology features in vehicles
    • 5.1.3.2. Significant trend of autonomous and electric vehicles
  • 5.1.4. Challenges
    • 5.1.4.1. Integration issues and technology awareness
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Automotive Gesture Recognition Systems Market, by Component

• 6.1. Introduction
• 6.2. Touch Based Systems
• 6.3. Touchless Systems

7. Automotive Gesture Recognition Systems Market, by Authentication Type

• 7.1. Introduction
• 7.2. Facial Recognition
• 7.3. Hand/Finger Print/Leg Recognition
• 7.4. Vision/IRIS Recognition

8. Automotive Gesture Recognition Systems Market, by Application

• 8.1. Introduction
• 8.2. Lighting Systems
• 8.3. Multimedia/Infotainment/Navigation

9. Americas Automotive Gesture Recognition Systems Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Automotive Gesture Recognition Systems Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Automotive Gesture Recognition Systems Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Analog Devices, Inc.
• 2. Apple Inc.
• 3. Aptiv Global Operations Limited
• 4. Cipia Vision Ltd.
• 5. Cognitec Systems GmbH by SALTO Group
• 6. Continental AG by Schaeffler Group
• 7. Elmos Semiconductor SE
• 8. Hyundai Motor Company
• 9. International Business Machines Corporation
• 10. LG Electronics
• 11. Neonode Inc.
• 12. NXP Semiconductors N.V.
• 13. Porsche by Volkswagen AG
• 14. Qualcomm Inc.
• 15. Samsung Corporation
• 16. Siemens AG
• 17. SoftKinetic Technologies
• 18. Sony Corporation
• 19. STMicroelectronics
• 20. Synaptics Incorporated
• 21. Ultraleap Limited
• 22. Visage Technologies
• 23. Visteon Corp.