The automotive gesture recognition market size is expected to see rapid growth in the next few years. It will grow to $6 billion in 2030 at a compound annual growth rate (CAGR) of 20%. The growth in the forecast period can be attributed to autonomous driving interfaces, ai-based cockpit systems, connected car growth, demand for distraction reduction, software-defined vehicles. Major trends in the forecast period include touchless vehicle control interfaces, integration with infotainment systems, multi-modal gesture recognition, AI-based driver interaction, expansion in premium vehicles.
The increasing consumer demand for connected vehicles is expected to drive the growth of the automotive gesture recognition market going forward. Connected vehicles are advanced automobiles equipped with technologies that enable communication with external systems and other devices. The demand for connected vehicles is fueled by a stronger focus on safety, greater convenience, and enhanced driving experiences. Gesture recognition allows drivers to control vehicle functions without physical contact, reducing distractions and improving safety. It also supports drivers with disabilities, enhances accessibility, and integrates with artificial intelligence to deliver personalized and adaptive user experiences. For instance, in January 2024, according to a report published by BMW Group, a Germany-based motor vehicle manufacturer, the company recorded a milestone sales performance by delivering 2,555,341 BMW, MINI, and Rolls-Royce vehicles worldwide, representing a 6.5% increase year over year. In the fourth quarter of 2023, BMW Group’s sales grew by 10.3% compared to the same period in the previous year, reaching 718,778 units. Therefore, the growing consumer demand for connected vehicles is driving the growth of the automotive gesture recognition market.
Leading companies in the automotive gesture recognition market are focusing on advanced biometric facial recognition to offer personalized driving experiences and facilitate seamless interaction with in-car systems. This technology uses cameras and algorithms to identify vehicle occupants based on their facial features. For instance, in January 2024, Continental AG, a Germany-based automotive manufacturer, introduced the Face Authentication Display, a two-stage access control system that employs advanced biometric technology for enhanced vehicle security and user convenience. The system, integrated discreetly behind the driver’s display console, features a high-contrast organic light-emitting diode (OLED) screen that preserves the vehicle’s sleek design while using its pixels for facial identification. It supports facial recognition both inside and outside the vehicle, improving security by preventing unauthorized access and allowing control over entry for family members. Additionally, it prevents children from starting the engine, adding an extra layer of safety.
In January 2023, PreAct Technologies Inc., a US-based developer specializing in near-field software-definable flash lidar, acquired Gestoos SA for an undisclosed amount. This acquisition is intended to enhance PreAct’s ability to provide advanced sensor solutions across multiple sectors, including automotive, robotics, and industrial applications. Gestoos SA, a Spain-based company, specializes in gesture recognition technology for the automotive industry.
Major companies operating in the automotive gesture recognition market report include Robert Bosch GmbH, Intel Corporation, Qualcomm Incorporated, Continental AG, Mitsubishi Electric Corporation, Fujitsu Limited, NVIDIA Corporation, Avnet Inc., Valeo India Private Limited, Texas Instruments Incorporated, STMicroelectronics N.V., Infineon Technologies AG, NXP Semiconductors N.V., Harman International Industries Incorporated, Zebra Technologies Corporation, IDEMIA, Synaptics Inc., Omnivision Technologies Inc., Cognex Corporation, Visage Technologies, Ultraleap Limited, LeddarTech Inc., Motion Gestures.
North America was the largest region in the automotive gesture recognition market in 2025. The regions covered in the automotive gesture recognition market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the automotive gesture recognition market report include Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The automotive gesture recognition market consists of revenues earned by entities by providing services such as consulting services, data analytics services, and system integration. The market value includes the value of related goods sold by the service provider or included within the service offering. The automotive gesture recognition market also includes sales of control panels, microprocessors, haptic feedback devices, and gesture recognition modules. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Automotive Gesture Recognition Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses automotive gesture recognition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for automotive gesture recognition? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The automotive gesture recognition market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Recognition Modality: Hand Recognition or Fingerprint Recognition or Palm Recognition or Leg Recognition; Facial Recognition; Vision or Iris Recognition; Other Types2) By Product: Touch-Based Systems; Touchless Systems
3) By Application: Multimedia or Infotainment or Navigation; Lighting System; Other Applications
Subsegments:
1) By Hand Recognition or Fingerprint Recognition or Palm Recognition or Leg Recognition: Hand Gesture Recognition Systems; Fingerprint Recognition Systems; Palm Recognition Systems; Leg Gesture Recognition Systems2) By Facial Recognition: 2D Facial Recognition Systems; 3D Facial Recognition Systems; Real-time Facial Recognition Systems
3) By Vision or Iris Recognition: Iris Recognition Systems; Eye Tracking Systems; Vision-Based Gesture Recognition Systems
4) By Other Types: Voice Recognition Systems; Proximity Gesture Recognition; Motion Tracking Systems
Companies Mentioned: Robert Bosch GmbH; Intel Corporation; Qualcomm Incorporated; Continental AG; Mitsubishi Electric Corporation; Fujitsu Limited; NVIDIA Corporation; Avnet Inc.; Valeo India Private Limited; Texas Instruments Incorporated; STMicroelectronics N.V.; Infineon Technologies AG; NXP Semiconductors N.V.; Harman International Industries Incorporated; Zebra Technologies Corporation; IDEMIA; Synaptics Inc.; Omnivision Technologies Inc.; Cognex Corporation; Visage Technologies; Ultraleap Limited; LeddarTech Inc.; Motion Gestures
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Automotive Gesture Recognition market report include:- Robert Bosch GmbH
- Intel Corporation
- Qualcomm Incorporated
- Continental AG
- Mitsubishi Electric Corporation
- Fujitsu Limited
- NVIDIA Corporation
- Avnet Inc.
- Valeo India Private Limited
- Texas Instruments Incorporated
- STMicroelectronics N.V.
- Infineon Technologies AG
- NXP Semiconductors N.V.
- Harman International Industries Incorporated
- Zebra Technologies Corporation
- IDEMIA
- Synaptics Inc.
- Omnivision Technologies Inc.
- Cognex Corporation
- Visage Technologies
- Ultraleap Limited
- LeddarTech Inc.
- Motion Gestures
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 2.89 Billion |
| Forecasted Market Value ( USD | $ 6 Billion |
| Compound Annual Growth Rate | 20.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 24 |


