Asia Pacific Predictive Vehicle Technology Market

Market Introduction

At present, the automotive industry is experiencing significant incorporation of various advanced technologies in cars to improve the safety and efficiency of the occupants. The automakers are leveraging artificial intelligence (AI) and machine learning (ML) to realize the patterns and trends of the driver and improve the safety of the vehicle. Both technologies are ready to become a vital part of upcoming vehicles and the automotive industry. In the race of connected cars and self-driving vehicles, predictive vehicle technologies are gaining acceptance among all auto types, which offers notable convenience to the driver and passengers. Therefore, the automakers are concentrating on adopting connected gadgets and IoT in vehicles that support voice commands. Thus, the growth in the integration of AI in automotive industry is expected to create a significant demand for predictive vehicle technology in the coming years, which is further anticipated to drive the predictive vehicle technology market.  The COVID-19 is anticipated to cause huge disruptions in the Asia Pacific region. Asia pacific is a crucial region in terms of manufacturing and industrial growth and any disruptions may negatively impact the growth of various industries dependent on the region for supply and revenues. In terms of automotive production, China is a biggest car market, and Wuhan, which is a center of an outbreak, is called as a “motor city”.

Asia Pacific Predictive Vehicle Technology Strategic Insights

Strategic insights for the Asia Pacific Predictive Vehicle Technology provides data-driven analysis of the industry landscape, including current trends, key players, and regional nuances. These insights offer actionable recommendations, enabling readers to differentiate themselves from competitors by identifying untapped segments or developing unique value propositions. Leveraging data analytics, these insights help industry players anticipate the market shifts, whether investors, manufacturers, or other stakeholders. A future-oriented perspective is essential, helping stakeholders anticipate market shifts and position themselves for long-term success in this dynamic region. Ultimately, effective strategic insights empower readers to make informed decisions that drive profitability and achieve their business objectives within the market.

Asia Pacific Predictive Vehicle Technology Report Scope

Asia Pacific Predictive Vehicle Technology Regional Insights

The geographic scope of the Asia Pacific Predictive Vehicle Technology refers to the specific areas in which a business operates and competes. Understanding local distinctions, such as diverse consumer preferences (e.g., demand for specific plug types or battery backup durations), varying economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved areas or adapting their offerings to meet local demands. A clear market focus allows for more effective resource allocation, targeted marketing campaigns, and better positioning against local competitors, ultimately driving growth in those targeted areas.

The predictive vehicle technology market in APAC is expected to grow from US$ 10.64 Mn in 2019 to US$ 25.33 Mn by 2027; it is estimated to grow at a CAGR of 13.91% from 2020 to 2027. The auto manufacturers and tech companies are involved in the development of sophisticated technologies that enable automobiles to drive themselves. In the race of testing self-driving vehicles, Google is leading the race, followed by Audi, Toyota, and Mercedes-Benz. Moreover, the Institute of Electrical and Electronics Engineers (IEEE) foresees that the self-driving vehicles will approximately account for up to 75% of vehicles on the road by 2040. The self-driving car industry is anticipated to benefit the car-sharing services such as Zipcar, taxi services, public transportation, and rental car companies. This is bolstering the growth of the predictive vehicle technology market.

Key Market Segments

In terms of vehicle type, the passenger car segment accounted for the largest share of the APAC predictive vehicle technology market in 2019. In terms of hardware, the ADAS segment held a larger market share of the predictive vehicle technology market in 2019. Further, the safety and security segment held a larger share of the market based on application in 2019.

Major Sources and Companies Listed

A few major primary and secondary sources referred to for preparing this report on the predictive vehicle technology market in APAC are company websites, annual reports, financial reports, national government documents, and statistical database, among others. Major companies listed in the report are AISIN SEIKI Co.Ltd., Aptiv PLC, Continental AG, HELLA GmbH and Co. KGaA, NXP SEMICONDUCTORS N.V., Robert Bosch GmbH, Valeo, Visteon Corporation, and ZF Friedrichshafen AG among others.

Reasons to buy report

• To understand the APAC predictive vehicle technology market landscape and identify market segments that are most likely to guarantee a strong return
• Stay ahead of the race by comprehending the ever-changing competitive landscape for APAC predictive vehicle technology market
• Efficiently plan M&A and partnership deals in APAC predictive vehicle technology market by identifying market segments with the most promising probable sales
• Helps to take knowledgeable business decisions from perceptive and comprehensive analysis of market performance of various segment form APAC predictive vehicle technology market
• Obtain market revenue forecast for market by various segments from 2020-2027 in APAC region.

APAC PREDICTIVE VEHICLE TECHNOLOGY MARKET SEGMENTATION

By Hardware

• ADAS
• Telematics
• OBD

By Vehicle Type

• Commercial Vehicle
• Passenger Car

By

Application

• Proactive Alerts
• Safety and Security

By Country

• China
• India
• Japan
• South Korea
• Rest of APAC

Company Profiles

• AISIN SEIKI Co.Ltd.
• Aptiv PLC
• Continental AG
• HELLA GmbH and Co. KGaA
• NXP SEMICONDUCTORS N.V.
• Robert Bosch GmbH
• Valeo
• Visteon Corporation
• ZF Friedrichshafen AG