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According to Stratistics MRC, the Global Connected Motorcycle Market is accounted for $114.2 billion in 2024 and is expected to reach $282.5 billion by 2030 growing at a CAGR of 16.3% during the forecast period. A connected motorcycle is a technologically advanced two-wheeled vehicle integrated with digital connectivity features that enhance safety, convenience, and performance. These motorcycles are equipped with embedded sensors, communication systems, and Internet of Things (IoT) technologies that enable real-time data exchange between the motorcycle, the rider, other vehicles, and external infrastructure. Key features often include GPS navigation, telematics for vehicle diagnostics, emergency call systems (eCall), and connectivity to smartphones and other devices. Advanced safety features, such as collision alerts, blind-spot detection, and lane departure warnings, contribute to reducing accidents and improving overall rider safety.
According to the World Health Organization (WHO), road traffic injuries are the primary cause of death among young people aged 15-29 years globally. As a result, there is a growing emphasis on implementing measures to improve road safety, including the adoption of connected vehicle technologies.
Incorporation of advanced driver assistance systems (ADAS)
ADAS features such as collision detection, adaptive cruise control, lane departure warnings, and blind-spot monitoring provide crucial real-time safety alerts, helping to prevent accidents and reduce rider fatalities. These advanced safety technologies make motorcycles safer to operate, which can increase rider confidence and encourage more people to consider motorcycles as a viable mode of transportation. Furthermore, the integration of ADAS in connected motorcycles attracts tech-savvy consumers who value innovative and intelligent vehicle systems. This drives market growth by expanding the customer base and creating demand for high-tech motorcycle models.
Limited infrastructure
Connectivity features in these motorcycles rely heavily on advanced infrastructure, such as widespread 4G/5G networks, smart traffic management systems, and vehicle-to-everything (V2X) communication technologies. In regions where these infrastructures are underdeveloped or lacking, the full potential of connected motorcycles cannot be realized, limiting their appeal and functionality. This infrastructure gap can lead to inconsistent connectivity, reducing the effectiveness of critical safety features like real-time traffic updates, collision avoidance systems, and emergency response alerts hampering the growth of the market.
Increasing availability of high-speed internet and mobile connectivity
Widespread high-speed internet, features such as real-time navigation, traffic updates, and cloud-based services become more reliable and efficient, significantly improving the riding experience. Enhanced mobile connectivity supports seamless integration with smartphones and other devices, enabling riders to access various apps and services on the go. Additionally, improved connectivity facilitates better data collection and analysis, aiding manufacturers in developing more innovative and responsive features.
High costs
The advanced technologies integrated into connected motorcycles, such as sophisticated sensors, communication systems, and real-time data processing units, substantially increase production costs. These higher manufacturing expenses translate to elevated retail prices, making connected motorcycles less affordable for a large segment of potential buyers. Additionally, the higher cost may also discourage motorcycle manufacturers from investing heavily in connected technology, particularly if they are unsure of sufficient market demand to justify the increased expenses.
Covid-19 Impact
While initial disruptions in manufacturing and supply chains affected production, lockdowns and social distancing measures increased interest in personal mobility solutions, including motorcycles. However, economic uncertainty led to reduced consumer spending, impacting purchasing decisions. The pandemic also accelerated digital adoption, increasing demand for connected features. Despite challenges, the crisis prompted innovations like remote diagnostics and virtual connectivity solutions, fostering resilience in the market.
The driver assistance segment is expected to be the largest during the forecast period
The driver assistance is expected to be the largest during the forecast period owing to features such as collision warning, adaptive cruise control, and blind-spot detection improve rider awareness and reduce the risk of accidents. These systems also promote rider confidence, attracting safety-conscious consumers to connected motorcycle models. Additionally, advanced driver assistance technologies align with the trend towards autonomous vehicles, positioning connected motorcycles as innovative and forward-thinking transportation solutions. As a result, the integration of driver assistance systems drives market growth, expands the customer base, and fosters the adoption of connected motorcycle technology.
The vehicle-to-infrastructure (V2I) segment is expected to have the highest CAGR during the forecast period
The vehicle-to-infrastructure (V2I) segment is expected to have the highest CAGR during the forecast period as it provides real-time data exchange with traffic signals, road signs, and other roadside infrastructure, allowing motorcycles to receive important information about traffic conditions, hazards, and road closures. This enhances rider safety, improves traffic flow, and reduces congestion. Additionally, V2I connectivity enables advanced features such as predictive maintenance alerts and optimized routing, enhancing the overall rider experience. As a result, the integration of V2I technology drives market growth by increasing the appeal and functionality of connected motorcycles, attracting safety-conscious riders and promoting broader adoption.
North America is projected to hold the largest market share during the forecast period owing to the region's strong position is attributed to the presence of key market players, advanced infrastructure, and a tech-savvy consumer base. In addition, stringent safety regulations and the increasing adoption of connected technologies in the automotive sector contribute to the market's growth. With a matured automotive industry and a high awareness of safety and technology among consumers, North America continues to lead in the adoption and implementation of connected motorcycle systems.
Asia Pacific is projected to hold the highest CAGR over the forecast period due to the region's rapid economic development, expanding middle-class population, and increasing disposable income contribute to a surge in motorcycle ownership. Growing urbanization, coupled with traffic congestion concerns, prompts the adoption of connected motorcycle technologies for enhanced safety and navigation. Furthermore, the rising popularity of recreational motorcycling and the inclination towards advanced automotive solutions in countries such as China and India fuel the demand for connected motorcycle features.
Key players in the market
Some of the key players in Connected Motorcycle market include Aeris, Autotalks, BMW Motorrad, Continental AG, Ducati, DXC Technology Company, Facomsa, Harley Davidson, Honda, KPIT Technologies Limited, KTM, NovAtel In, Panasonic Holdings Corporation, Robert Bosch GmbH, Starcom Systems Inc., TE Connectivity, Telit, Vodafone Limited and Yamaha Motors
In May 2024, Continental has announced its most recent Original Equipment approval of the RDT-Master off-the-road (OTR) tire. It is approved for use on Caterpillar's Off-Highway Truck machine models globally and indicated in the price lists. With this, customers can specify their Off-Highway Truck models with Continental RDT-Master tires ex works.
In May 2024, Upholstery Materials from Continental Make Their Debut at Clerkenwell Design Week. Continental's surface specialists are exhibiting their top-quality artificial leather portfolio from the skai brand at Clerkenwell Design Week for the first time
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