The Rise of Haptic Technology: Driving Forces and Market Growth

 

Haptic technology refers to a technology that can create an experience of touch by applying forces, vibrations, or motions to the user. This technology is utilized in a wide range of applications such as automotive interfaces, medical training, gaming, and virtual reality. The goal of this technology is to simulate the sensation of touch with several mechanisms. Also, this technology can offer a more immersive experience to the users by allowing them to feel and interact with virtual objects as if they were real. There are several types of haptic technology which include Force feedback, Tactile feedback, and Motion feedback. Further, it is a crucial sector that is constantly rising, and it has the potential to revolutionize how we interact with computers and other devices in the future.

Haptic Technology Market Key Factor Driving Growth:

·        The growing demand for haptic technology in mobile devices is propelling the growth of the global haptic technology market and is predicted to maintain its dominance over the forecast period as the adoption of tablets and smartphones is rising rapidly.

·        Development in the automotive sector is the other factor driving the global market as haptic technology is progressively utilized in the automotive sector for enhancing safety as well as driver experience.  

·        Another factor enhancing the growth of the market is virtual reality and augmented reality technologies as these technologies boost the users' experience and make it more immersive.

·        Growing investment in research and development of haptic technology is predicted to uplift the industry's growth as it enhances the evolution of new and innovative products.  

·        Further, medical technology is considered the major factor expected to propel the industry share over the assessment period as this technology is utilized in medical devices and simulations to boost the accuracy and realism of medical procedures.

However, the absence of standards and huge costs are the major factors restricting the growth of the global haptic technology market. Also, limited applications and limited compatibility are the other factors hindering the industry's growth. Further aspects predicted to uplift the global market are regulatory issues and the absence of awareness. 

As per the study published by Emergen Research in March 2023, the global haptic technology market size was USD 2.90 Billion in 2022 and is predicted to reach a revenue CAGR of 12.0% over the projection period. Also, the study enlists various important factors, starting from the basics principal to advanced market intelligence which plays a vital part in strategizing. 

For instance, as per the Global System for Mobile Communications Association, there will be 5.9 billion distinct users globally by 2025. Growing acceptance of haptic technology in the electronics sector is anticipated to boost the market share over the forecast period due to the several advantages such as improved sound, touchscreen, and visual effects in display touch applications.

Additionally, in February 2021, Immersion Corporation and Faurecia Corporation approved a multi-year licencing deal to allow Faurecia to purchase Immersion's haptic technology solutions. Faurecia will be able to design an intricate, interactive haptic user interface using cutting-edge technology from Immersion Corporation.

The leading players operating in the global haptic technology market include Texas Instruments Incorporated, Analog Devices, Inc., Microchip Technology Inc., Semiconductor Components Industries, LLC, Precision Microdrives Limited, NIDEC COPAL ELECTRONICS, Synaptics Incorporated, Cypress Semiconductor Corporation, Samsung, Johnson Electric Holdings Limited, Methode Electronics, Apple Inc., SMK ELECTRONICS CORPORATION U.S.A, Immersion, ALPS ALPINE CO., LTD., Visteon Corporation, and AAC Technologies.

In conclusion, haptic technology is anticipated to grow at a significant rate over the projection period. There are several factors responsible for global market enhancement that includes rising awareness and advantages of haptic technology. Further, the technology has been progressively utilized in several applications that include automotive, healthcare, gaming, and virtual reality, among others.

Automotive Adaptive Lighting Market Valuation by Size, Share, Growth, Trend, Drivers and Restraint 2020-2028

The market report on the Automotive Adaptive Lighting market published by Emergen Research includes an analysis of the key segments of the entire Automotive Adaptive Lighting market. The report aims to shed light on the prevalent business strategies and models, analyze the market trends, and investigate the growth of the market through thorough statistical analysis. The report also covers the assessment of the overall market, depending on the validated industry data obtained through primary and secondary research.

The Global Automotive Adaptive Lighting Market is projected to reach USD 3.91 billion in 2027. The continual development in automotive lighting applications, rising usage of the luxury passenger vehilces, increasing demand of automation in automobiles, demand of concept cars from high-income consumers and extensive growth in electric cars are boosting the demand of Automotive Adaptive Lighting Market. Technological innovations associated with automotive lighting industry are anticipated to stimulate market demand. For instance, a technology known as ‘laser matrix’ is improving the safety of high-beam driving. The technology combines laser lights, digital light processing and micro mirrors into a lighting architecture that has both light and dark zones. The system automatically masks-out areas in front of the vehicle, such as on-coming cars, to avoid blinding drivers and pedestrians; and intensifies light into traffic signs or dangerous situations.

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Incorporated with Info-graphics, charts, 70 tables and 85 figures, this 250-page research report “Automotive Adaptive Lighting Market Size, Type, Application, End-Use Industry, Regional Outlook, Competitive Strategies and Forecasts, 2020 - 2027” is based on a complete research of the entire Global market and covering all its sub-segments through comprehensively thorough classifications. Insightful analysis and assessment are created from superior primary and secondary information sources with data and information derived from industry specialists across the value chain.

A high focus is maintained on factors such as demand and supply, production capacity, supply chain management, distribution channel, product application and performance across different countries. The report not only offers hard to find facts about the trends and innovation driving the current and future of Automotive Adaptive Lighting business, but also provides insights into competitive development such as acquisition and mergers, joint ventures, product launches and technology advancements.

The Automotive Adaptive Lighting market offers key insights into the historical and current data with regards to Automotive Adaptive Lighting market size and volume, by evaluating the key companies, major geographies, product types, application, consumer base, and manufacturing and production pricing.

Top key Companies in Automotive Adaptive Lighting Market include are:

Magneti Marelli S.p.A, Varroc Engineering Limited, HELLA Group, SL Corporation, Stanley Electric Co., Ltd, Koito Manufacturing Co., Ltd., Valeo, Zizala Lichtsysteme GmbH, and OSRAM Light AG, among others.

The Automotive Adaptive Lighting market offers a detailed analysis of the product portfolio, key trends, applications, and a thorough value chain analysis. The report provides an in-depth analysis of the product types and applications of the Automotive Adaptive Lighting industry.

For the purpose of this report, Emergen Research has segmented into the global Automotive Adaptive Lighting Market on the basis of Product, Application, Vehicle Type, and region:

• Product Outlook (Revenue: USD Billion; Volume: Thousand Units; 2017-2027)
  • Halogen Headlight
  • Xenon Headlight
  • LED Headlight
  • Others

• Application Outlook (Revenue: USD Billion; Volume: Thousand Units; 2017-2027)
  • Exterior Lighting
    1. Headlights
    2. Fog Lights
    3. Day Time Running Lights (DRL)
    4. Taillights
    5. Sidelights
    6. Centre High-Mount Stop Light (CHMSL)
  • Interior Lighting
    1. Dashboard
    2. Glovebox
    3. Reading Lights
    4. Dome Lights

• Vehicle Type Outlook (Revenue: USD Billion; Volume: Thousand Units; 2017-2027)
  • Passenger Vehicles
  • Light Commercial vehicles
  • Trucks and Buses
  • Two-wheelers
  • Others

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Region wise performance of the Automotive Adaptive Lighting industry

This report studies the global Automotive Adaptive Lighting market status and forecast, categorizes the global Automotive Adaptive Lighting market size (value & volume) by key players, type, application, and region. This report focuses on the top players in North America, Europe, China, Japan, Southeast Asia India and Other regions (Middle East & Africa, Central & South America).

Geographically, this report studies the key regions, focuses on product sales, value, market share and growth opportunity in these regions, covering:

• United States
• Europe
• China
• Japan
• Southeast Asia
• India

We can also provide the customized separate regional or country-level reports, for the following regions:

North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Rest of Asia-Pacific, Europe, Germany, France, UK, Italy, Spain, Russia, Rest of Europe, Central & South America, Brazil, Argentina, Rest of South America, Middle East & Africa, Saudi Arabia, Turkey, Rest of Middle East & Africa

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Table of Content

Chapter 1. Methodology & Sources

    1.1. Automotive Adaptive Lighting Market Definition

    1.2. Research Scope 

    1.3. Methodology

    1.4. Research Sources

          1.4.1. Primary

          1.4.2. Secondary

          1.4.3. Paid Sources

    1.5. Automotive Adaptive Lighting Market Estimation Technique

Chapter 2. Executive Summary

    2.1. Summary Snapshot, 2021-2028

Chapter 3. Key Insights

Chapter 4. Automotive Adaptive Lighting Market Segmentation & Impact Analysis

    4.1. Automotive Adaptive Lighting Market Material Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Automotive Adaptive Lighting Market indicators analysis

          4.2.2. Automotive Adaptive Lighting Market drivers analysis

                    4.2.2.1. Rapid urbanization and industrialization

                    4.2.2.2. Stringent government regulations regarding carbon emissions

                    4.2.2.3. Increasing prevalence of respiratory diseases

                    4.2.2.4. Rising need to enhance indoor air quality

          4.2.3. Automotive Adaptive Lighting Market restraints analysis

                    4.2.3.1. High cost associated with the maintenance of Automotive Adaptive Lighting products

                    4.2.3.2. Availability of renewable sources of energy

    4.3. Technological Insights

    4.4. Regulatory Framework

    4.5. Porter’s Five Forces Analysis

    4.6. Competitive Metric Space Analysis

    4.7. Price trend Analysis

    4.8. Covid-19 Impact Analysis

Chapter 10. Competitive Landscape

    10.1. Automotive Adaptive Lighting Market Revenue Share By Manufacturers

    10.2. Mergers & Acquisitions

    10.3. Competitor’s Positioning

    10.4. Strategy Benchmarking

    10.5. Vendor Landscape

          10.5.1. Raw Material Suppliers

                    10.5.1.1. North America

                    10.5.1.2. Europe

                    10.5.1.3. Asia Pacific

                    10.5.1.4. Middle East & Africa

                    10.5.1.5. Latin America

          10.5.2. Distributors

                    10.5.2.1. North America

                    10.5.2.2. Europe

                    10.5.2.3. Asia Pacific

                    10.5.2.4. Middle East & Africa

                    10.5.2.5. Latin America

          10.5.3. Others

Continued….

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Sensor Fusion: Combination of Multiple Sensors for Enhanced Measurement Estimations

 

Sensor Fusion, also known as multi-sensor, is the art of integrating multiple physical sensors to enhance the application and system performance. Sensors are now deployed in a broad spectrum of applications, such as smart mobile devices, automotive systems, healthcare, oil exploration, climate monitoring, and industrial controls. Sensors are used everywhere, and now the advancement in sensor technology is enabling them to mimic human beings. This is possible now because of sensor fusion technology. Sensor fusion leverages a microcontroller to combine the individual data collected from multiple sensors to get a more reliable and precise overview of the data. Sensor fusion enables context awareness, which, in turn, can extensively benefit the Internet of Things (IoT).

Sensor fusion is the ability to bring together input from multiple radars, lidars, and cameras to form a single model or a picture of the vehicle’s surrounding. The resulting model is an accurate representation as it balances the strengths of different sensors. Sensor fusion dynamically improves the lane detection performance as more sensors are used to boost the perception capability. Sensor fusion collects data from each sensor used through software algorithms to offer the most comprehensive and accurate environmental model. The escalating use of sensor fusion in consumer electronics and automotive applications is propelling the sensor fusion market’s growth. According to Emergen Research, the Global Sensor Fusion Market is forecast to attain a market valuation of USD 16.72 Billion by 2027, registering a remarkable CAGR of 19.6%.

Importance and Working of Sensor Fusion Algorithms

Sensor fusion algorithms integrate real-time sensor data that assists in reducing doubts in the object’s location and position. They combine data from several sensors to estimate the correct positions of the objects. Sensor fusions mostly rely on data from numerous same types of sensors, also known as “competitive configuration”. However, when merging data from different types of sensors, such as amalgamation of object proximity data and speedometer data, more often results in an in-depth interpretation of the object examined.

For instance, during a foggy climate, a radar sensor offers more precise data than a LiDAR sensor would. Whereas, in clear weather, LiDAR sensors’ spatial resolution is much more reliable than radar sensor. Every sensor has its own pros and cons, which is why sensor fusion algorithms take into consideration multiple types of sensors. The data from these various sensors are complementary, and the setup is typically called a complementary configuration.

Due to each sensor’s strengths and weaknesses, a robust algorithm gives preference to some critical data points over others. For instance, speed sensors are more precise than parking sensors, so those sensors are mostly preferred. The importance varies, and they generally depend on the specific use. 

Sensor fusion algorithms examine all the input data and generate output with enhanced accuracy and reliability. To measure the kinematic state of a vehicle, two equations and models are applied ‒ namely predict equation that used motion model and update equation that uses the measurement model. The motion model gives data about an object in periodic intervals, and the measurement type is more involved with the vehicle sensors’ dynamics. One of the essential foundations of these algorithms is the Kalman filter.

·       Overview of Kalman Filter

A Kalman filter refers to an equation that obtains data inputs from numerous sources and predicts unknown values, even in the case of augmented signal noise. Majorly applicable in control and navigation tech, Kalman filters confer the prediction of uncertain values more precisely than specific predictions by single measurement method.

As these algorithms are the most commonly used sensor fusion application and provide a resilient foundation for the concept, sensor fusion and Kalman filters are generally considered synonymous. Kalman filters are one of the most popular algorithms in sensor fusion and were invented by Rudolph Kalman in 1960. Now the algorithm is widely deployed in smartphones and satellites from navigation and tracking.

Factors Influencing the Growth of Sensor Fusion Market

The escalating trend of autonomous vehicle and advanced driver assistance systems (ADAS) are further augmenting the need for new radar, GNSS, lidar, and camera sensors in the vehicles. The increasing penetration of smartphones globally and the augmenting trend of micro-sized electronics are anticipated to add to traction to the market’s growth. Moreover, the growing application of fusion technologies to survey and predict environmental conditions, such as temperature, pressure, and humidity, have created an added demand for sensor fusion technologies.

The augmenting need for application-based location detection is attracting consumers and investors to invest in the technology and deploy them across the globe, thereby contributing to the market growth. The increasing advancement in ADAS and the surging use of the GPS-Inertial Measurement Unit fusion is highly beneficial for solving mounting errors. For instance, Tesla’s Autopilot automated driving feature, which is an example of ADAS, has the ability to carry out operations like maintaining the lane of the vehicle on a highway by predicting the accurate location of the vehicle from the data obtained from a forward-facing camera and steering control.

Collaborations and agreements are a common occurrence in the market and are primarily contributing to the market’s expansion. For instance, in April 2020, Foresight Autonomous Holdings Ltd., an Israel-based leader in automotive vision systems, joined forces with FLIR Systems Inc., to develop and commercialize the former’s QuadSight Vision System, which is based on sensor fusion, combined with infrared cameras of FLIR Systems to a broad spectrum of customers. In 2019, Ceva Inc. gained a controlling stake in the smart sensor technology business of Hillcrest Lab. Under the acquisition, CEVA’s intelligent sensing technology’s portfolio has the chance to expand to include CPU vision and AI processing for cameras and sound processing for microphones.

In December 2020, Himax Technologies Inc., joined forces with Edge Impulse to enable the accelerated development and deployment of the machine learning model. The AI vision and sensor fusion solution are designed for predictive maintenance, asset tracking, occupancy detection, and condition monitoring.

STMicroelectronics and Mobileye have formulated a strategy to develop EyeQ 5 system on chip in association with each other, to be deployed in 2020, to perform the function of central computer control and sensor fusion in the fully autonomous driving vehicles. Companies actively focused on developing technologies linked with IoT and smart driving are anticipated to create lucrative future opportunities. The increasing demand for monitoring and controlling utilities in home automation and the escalating development in robotics is forecast to influence the market growth due to sensor fusion technology’s wide application in mobile robot navigation.

Increasing Focus on Vehicle Safety and Connectivity and Policies Governing Vehicle Telematics are Expected to Propel the Growth of the Automotive Telematics Market.

With the rising number of private vehicles, the surging demand for tech-savvy automobiles, and the advent of autonomous vehicles, vehicle safety has become more important than ever. Something as revolutionary as a self-driving car needs to come with a promise of error-free driving for a customer to trust and invest in the technology. Automotive telematics is a massive and growing industry focused on collecting mobility-related information, particularly from private and commercial vehicles, and developing wide-ranging services catering to both individuals and companies. These services include info-mobility services, information systems to support car insurance, and ad hoc investigation for planning purposes, among others. Automotive telematics encompasses the applications of multimedia entertainment, Global Positioning System (GPS) navigation, wireless connectivity, and automatic driving assistance systems.

Vehicle insurance has also become a key focus of buyers, virtually an appendage to the vehicle. A growing segment within the automotive telematics sector is insurance telematics, and Millenials might be a major reason behind this growth. There is an evident shift in car purchasing trends, wherein Millenials constitute a substantial portion of car buyers, and it might have a considerable impact on the industry. For instance, usage-based insurance options offer insurers new opportunities to accurately determine premium, price, and risk. These schemes can potentially identify risky drivers, allowing insurers to better estimate the price of their products while also giving the driver the chance to moderate their driving to make roads safer. However, in the case of usage-based insurance or pay-as-you-drive auto insurance, there is an apparent need for a more precise assessment of how driver behaiour affects the risk of an accident or an insurance claim. 

The increasing focus on vehicle safety and connectivity and the policies governing vehicle telematics are expected to propel the growth of the automotive telematics market. The overall improvement in vehicle performance and intelligence and road safety would also help the broader adoption of the technology. Nonetheless,  the general threats associated with data breach, the cost of installation, and an inadequate internet infrastructure might impede the growth of the market in the coming years. The leading companies in the automotive telematics industry include Cartrack, Harman International, I.D. Systems, Inc., Masternaut Limited, Omnitracs, Airbiquity Inc., Verizon, Trimble Inc., Mix Telematics, and Tomtom Telematics B.V.

The four main elements viz., safety, navigation, connectivity, and security that automotive telematics incorporates into one Smart, nearly-indestructible piece of technology, which has already revolutionized the way we look at driver, vehicle, and road safety, will boost market growth in the coming years.