The automotive center stack display market is expected to exhibit a CAGR of more than 7% during the forecast period (2020 - 2025).
Key Highlights
- There is an increasing demand for enhanced safety, comfort, and convenience features in automobiles, especially in the developed economies. Advanced infotainment systems, center stack displays, heads-up displays, telematics, gesture control systems, and central controllers are increasingly being introduced by OEMs in vehicles.
- Autonomous cars use technologies, like RADAR, LIDAR, GPS, and computer vision, in order to sense their environment. Advanced control systems that are integrated into cars can interpret the sensory inputs and present the interpretable information on advanced center smart displays to warn the driver and prevent collisions and accidents.
- Manufacturers are increasing their R&D expenditures to develop improved technologies that are expected to meet the ever-expanding connected car features. Consumer awareness in the developed economies is playing a key role in driving the popularity of smart displays for automotive applications.
- The rise in investments in haptic technology is expected to fuel the market growth for center stack displays. Preh GmbH developed a scalable actuator technology that enables haptic feedback on touch-screen devices.
Key Market Trends
Safety and Cybersecurity Threats are Expected to Hamper the Market Growth
The increase in the demand for connected devices, due to the introduction of innovative technologies, the Internet of Things, and the development of smart cities, has resulted in the creation of a cyber environment that may support the operations of connected machines, including autonomous cars. The risks of inaccurate processing of data that may lead to the false display of parameters and being hacked are always associated with autonomous cars.
- For instance, in 2015, researchers, Charlie Miller and Chris Valasek, demonstrated that they were able to hack a Jeep Cherokee and control it remotely. The incident led to the recall of 1.4 million cars by Fiat Chrysler.
Additionally, in early 2017, the Chinese researchers exposed the vulnerabilities in Tesla Model X. They were able to take control of the vehicle’s brakes remotely, open the trunk and doors, and take control of the radio. The researchers hacked the vehicle through Wi-Fi and cellular connections, using malware, which was sent to the car’s web browser through a series of circuitous computer exploits.
Asia-Pacific to Register the Highest Growth Rate
Asia-Pacific is the biggest market for automotive artificial intelligence, and this factor is fueling the automotive center stack display market. In China, the number of OEMs deploying AI went up by 4% points, from 5% to 9%, during 2017-2018. This growth was fueled by open source platforms for AI technology by major technology companies. For instance, the internet giant, Baidu, developed an open source platform, Apollo, which witnessed partnerships from well over 130 companies.
India is an emerging economy, and global OEMs are setting up their manufacturing facilities in India. In 2019, Morris Garages and Kia Motors introduced their new vehicle models in India. The demand for automotive center stack displays is strong in India, due to the presence of global manufacturers, such as Faurecia SA and BHTC, and the huge aftermarket demand.
Competitive Landscape
The automotive center stack display market is fragmented, with players, such as Faurecia SA, Preh GmbH, and Delphi Automotive PLC, dominating the market.
In April 2020, Audi revealed its new fourth-generation A3 sedan, with an integrated 10.1 inch center stack display that is compatible with both Android Auto and Apple CarPlay.
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Table of Contents
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Preh GmbH
- Hyundai Mobis Co. Ltd
- Marelli Corporation
- Behr-Hella Thermocontrol GmbH
- Magna International Inc.
- Valeo Group
- Continental AG
- Methode Electronics Inc.
- Visteon Corporation
- Delphi Automotive PLC
Methodology
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