In-Vehicle AI Robots, the Future of Autonomous Driving
The in-vehicle AI robot market is expected to draw significant revenues in the next few years. The growing adoption of driver monitoring and risk assessment systems to enhance vehicle safety and comfort would support the market growth. Many notable brands, such as Tesla and BMW, are increasingly equipping their new vehicle models with AI-enabled solutions to monitor fatigue and driver reaction time.
Citing large developments of innovating new technologies to enhance the vehicle safety system and intelligent transport system, MRFR expects the global in-vehicle AI robot market to garner USD 275.2 MN by 2030, growing at a 19.4% CAGR from 2022 to 2030. The expanding autonomous vehicle industry is a major factor responsible for the growth of in-vehicle AI robot market shares.
Besides, the increased demand for advanced driver-assisted systems boosts the in-vehicle AI robot market sales. Combining intelligent software with appropriate sensors can significantly reduce the number of road accidents and driving discomforts in difficult conditions. Increased global accident rates foster market revenues, driving the demand for autonomous vehicles.
The global automotive industry is witnessing immense technological developments, especially in vehicle automation and intelligence. In-vehicle AI robots play an important role in enabling them to operate autonomously without human interference. In-vehicle AI systems such as advanced driver assistance systems (ADAS) and driver monitoring systems are catching huge attention within the automotive industry.
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In-Vehicle AI Robots Can Help in Car Maintenance Too!
Predictive maintenance can prevent malfunctions before they appear. In-vehicle AI robots make cars smarter by enabling them to notify/alert the drivers and owners whenever something needs attention. AI brings a whole lot more predictive maintenance alerts to connected cars, monitoring all the sensors within the car and detecting any potential problems even before they occur.
Recently, Predi announced the development of an intelligent platform that uses the service order history and data from IoT devices to prevent breakdowns and deal with new possible issues faster.
Other Notable Industry Updates
Autonomous/ self-driving vehicles are the future. Many major automakers strive to manufacture their autonomous cars and driving features implemented with AI and machine learning. With every car manufacturer racing to develop AI-enabled self-driving technologies and the rise in autonomous cars navigating traffic with machine learning and vision, the demand for in-vehicle AI robots is likely to foster in coming years.
Recently, Motional, a JV between Aptiv and the Hyundai motor group, announced that it is working on designing autonomous driving technology that can push the potential of self-driving cars into reality. The company’s autonomous driving technology utilizes LiDAR & radar sensing technology, and cameras to prioritize safety at all times.
The JV has further advanced in combining its technical expertise with real-world experience to lead the first-ever robotaxi pilot and an operational commercial robotaxi service, providing a large number of self-driven rides with a record zero at-fault incidents.
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North America Leads the In-Vehicle AI Robot Market
The rising demand for vehicle automation to improve vehicle safety and eliminate human errors boosts the market size. Besides, the rise in autonomous vehicle research activities initiated by major automakers in this region escalates the market value, contributing to the development of semi as well as fully autonomous vehicles. Currently, many innovative prototypes are being tested in the R&D centers of various automobile companies and universities.
The APAC in-vehicle AI robot market is projected to register significant growth during the forecast period. The region is garnering huge prominence worldwide, emerging as the automotive manufacturing hub. The region is also one of the leading automobile consumer markets, which makes it an attractive destination for manufacturers to invest in and grow. China, India, Japan, South Korea, and Australia are increasingly attracting huge investments from global players.
TABLE OF CONTENTS
1 EXECUTIVE SUMMARY
1.1 MARKET ATTRACTIVENESS ANALYSIS
1.1.1 GLOBAL IN-VEHICLE AI ROBOT MARKET, BY AUTONOMOUS LEVEL
1.1.2 GLOBAL IN-VEHICLE AI ROBOT MARKET, BY VEHICLE CATEGORY
1.1.3 GLOBAL IN-VEHICLE AI ROBOT MARKET, BY VEHICLE CATEGORY
1.1.4 GLOBAL IN-VEHICLE AI ROBOT MARKET, BY REGION
2 MARKET INTRODUCTION
2.2 SCOPE OF THE STUDY
2.3 MARKET STRUCTURE
3 RESEARCH METHODOLOGY
3.1 RESEARCH PROCESS
3.2 PRIMARY RESEARCH
3.3 SECONDARY RESEARCH
3.4 MARKET SIZE ESTIMATION
3.5 TOP-DOWN AND BOTTOM-UP APPROACH
3.6 FORECAST MODEL
3.7 LIST OF ASSUMPTIONS
4 MARKET DYNAMICS
4.2.1 INCREASING DEMAND FOR VEHICLES THOSE ARE SAFER & LESS PRONE TO ACCIDENT
4.2.2 INCREASING SALE OF EV AND LUXURY VEHICLES
4.2.3 DRIVER IMPACT ANALYSIS
4.3.1 SHORTAGE OF RAW MATERIAL
4.3.2 RESTRAINT IMPACT ANALYSIS
4.4.1 INCREASED SPENDING ON NEW VEHICLE PURCHASING
4.4.2 TECHNOLOGICAL ADVANCEMENT WITHIN INDUSTRY
4.5 COVID-19 IMPACT ANALYSIS
4.5.1 ECONOMIC IMPACT ON AUTOMOTIVE INDUSTRY
4.5.2 IMPACT ON AUTOMOTIVE PRODUCTION
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