Predictive Automobile Technology Market - Industry Size, Share, Growth & Forecast 2027 | UnivDatos
Predictive vehicle technology is a mix of artificial
intelligence (AI) and machine learning (ML) that is used to analyze the
vehicle owner's trends and operating patterns in order to improve the vehicle's
safety. Data mining, neural networks, system modeling, and simulation are among
the technologies available. Predictive vehicle technology enhances the driving
experience by automating settings, such as the infotainment system and
application preferences. Since predictive technologies are gaining popularity
across all vehicle types for giving the driver comfort and convenience, AI and
ML are becoming a vital element of future cars and the auto industry. OEMs are
working on IoT and linked device adoption in automobiles that can respond to
voice commands. Furthermore, the sensors in the car can alert the owner whether
the vehicle needs a mechanic's attention. Furthermore, the predictive system
evaluates the vehicle's performance based on the vehicle's condition, miles
clocked, and information concerning safety threats associated with car
malfunctions. As a result, the data from the system aids in reducing the time
it takes to locate and rectify a vehicle defect.
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The need for predictive automotive technology
will be fueled by an increase in demand to enhance automobile performance, as
well as an increase in the number of cars on the road. Predictive car
technology aids in the early detection of vehicle maintenance difficulties. The
market for predictive vehicle technology is being driven by the rising demand
for technologically sophisticated automobiles. Vehicles are fitted with a
variety of technologies that can detect barriers and cars on the road or in the
vicinity of the vehicle and take preventative measures to preserve the
vehicle's speed and distance from other vehicles. Vehicles are now connected to
one another and communicate information based on the vehicle's needs, which
helps to reduce latency, delay, and effort when going. Vehicles are getting
safer and more secure, resulting in increased driver and vehicle safety. During
the forecast period, this is a crucial element that is expected to boost the
predictive vehicle technology market.
According to UnivDatos Market Insights (UMI)’ research
report “Predictive Automobile Technology Market”, the market
is expected to witness a CAGR growth of around ~20% during the forecast period
2021-2027F. Global Predictive Automobile Technology Market is experiencing
significant growth due to the rising demand for connected vehicle along with
demand for technology & safety features in vehicles.
Based on application, the market is segmented into Maintenance Analysis,
Driving Pattern Analysis, Predictive Smart Parking, Proactive alerts, and
Safety & Security. The Safety & Security segment is expected to grow at
a higher CAGR during the forecasted period. Automakers throughout the world are
expected to integrate safety and security as an ADAS feature in the next years.
These features are primarily designed to aid the driver by providing
anticipatory cues. In developed nations, car occupants are expecting similar
capabilities in their automobiles. In emerging regions, on the other hand, OEMs
are including these features in their automobiles. Government mandates are
supporting the expansion of the safety & security segment, since traffic
congestion is a major concern in every area, propelling the category's growth.
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Based on deployment, the market is segmented into On Premise and On
Demand. The On-Premise segment is expected to grow at a higher CAGR during the
forecasted period. Over the projected period, the on-premise segment is
expected to dominate the market. The growing need for different applications
like parking management and pollution analytics is also helping to propel the
industry forward. The need for predictive software and services is growing in
response to the growing need to improve driver efficiency while also lowering
operating costs.
Based on hardware, the market is segmented into ADAS component,
On-board diagnostics, and Telematics. The ADAS component is expected to grow at
a higher CAGR during the forecasted period. During the projected period, the
ADAS component is expected to be the biggest market. Radar, LiDAR, ultrasonic
sensors, and cameras are examples of ADAS components. These sensors detect data
and deliver it to a computer for further processing. In many ADAS applications,
these sensors can be employed singly or in combination. To improve vehicle
safety performance, leading manufacturers across the world are incorporating
innovative technologies in passenger and commercial vehicles.
Based on vehicle type, the market is segmented into Passenger Vehicle and
Commercial Vehicle. The Passenger Vehicle segment is expected to grow at a
higher CAGR during the forecasted period.
Due to rising passenger car sales throughout the world, the passenger
car sector is expected to lead the vehicle type segment over the projection
period. The segment's expansion is being fueled by customers' increased
disposable income throughout the world. Consumer demand for electric vehicles
is expanding, and the government has set many regulations on vehicle emissions,
which is propelling the sector forward. The market's growth is being aided by
increased environmental concerns as a result of rising carbon footprints.
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Asia
Pacific to Grab Lion’s Share
Based on
the estimation, during the projection period of 2021-2027, Asia-Pacific is
expected to be the fastest-growing market during the forecast period. Vehicle
hybridization and electrification, increasing production of electric vehicles,
are primary factors driving the demand in the market. China and India, two of
the world’s fastest-growing economies, are part of the area. In addition, the
Asia Pacific area is the largest market for vehicles, thanks to rising consumer
spending power, which has fueled demand for automobiles in the region. In
addition, the industry is growing due to rising sales of commercial vehicles
and passenger automobiles in the region. The region's nations are encouraging
the integration of commercial telematics into new cars, which will benefit the
worldwide commercial telematics industry. To meet the need for modern
telematics systems in the subcontinent, many European and North American OEMs
are entering the market. As a result, Asia Pacific is predicted to expand
somewhat throughout the projection period.
According
to UnivDatos Market Insights (UMI)’, the key players with a considerable market
share in the Global Predictive Automobile Technology Market are includes Aptiv PLC, ZF
Friedrichshafen AG, Continental AG, Robert Bosch GmbH, Valeo SA, Garrett Motion
Inc., Aisin Corporation, Siemens AG, Honeywell International Inc and Magna
International Inc. etc.
·
In June 2021, Garrett Motion Inc. a
leading differentiated technology provider for the automotive industry
announced the launch of a new software solution focused on Model-Based
Predictive Control (MPC) technology with Hyundai Motor Company (HMC). The
advanced MPC technology is able to predict and preemptively optimize how a
system operates in real-world conditions, enabling all types of light and
commercial vehicles, whether ICE, hybrid, battery-electric, or hydrogen fuel
cell-powered, to improve performance, efficiency, and reliability
“Global Predictive
Automobile Technology Market” provides comprehensive qualitative and
quantitative insights on the industry potential, key factors impacting sales
and purchase decisions, hotspots, and opportunities available for the market
players. Moreover, the report also encompasses the key strategic imperatives
for success for competitors along with strategic factorial indexing measuring
competitor's capabilities on different parameters. This will help companies in
the formulation of go to market strategies and identifying the blue ocean for
its offerings.
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informative information, please visit us – https://univdatos.com/report/predictive-automobile-technology-market/
Market Segmentation:
1.
By Application (Maintenance
Analysis, Driving Pattern Analysis, Predictive Smart Parking, Proactive alerts
and Safety & Security)
2.
By Deployment (On Premise and On
Demand)
3.
By Hardware (ADAS component, On-board
diagnostics and Telematics)
4.
By Vehicle Type (Passenger Vehicle
and Commercial Vehicle)
5.
By Region (North
America (United States, Canada, Rest of North America), Europe (Germany, France,
UK, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Australia, Rest
of APAC), and Rest of World)
6.
By Company (Aptiv PLC, ZF
Friedrichshafen AG, Continental AG, Robert Bosch GmbH, Valeo SA, Garrett Motion
Inc., Aisin Corporation, Siemens AG, Honeywell International Inc and Magna
International Inc.)
Key
questions answered in the study:
1.
What are the current and future trends
of the Global Predictive Automobile Technology industry?
2.
How the industry has been evolving in
terms of end-user demand and product category?
3.
How the competition has been shaping
across the countries followed by their comparative factorial indexing?
4.
What are the key growth drivers and
challenges for the Global Predictive Automobile Technology industry?
5.
What is the customer orientation,
purchase behavior, and expectations from the Global Predictive Automobile
Technology suppliers across various countries?
Table of
Content –
1 MARKET INTRODUCTION
2 RESEARCH METHODOLOGY OR ASSUMPTION
3 MARKET SYNOPSIS
4 EXECUTIVE SUMMARY
5 PREDICTIVE AUTOMOBILE TECHNOLOGY MARKET COVID-19 IMPACT
6 PREDICTIVE AUTOMOBILE TECHNOLOGY MARKET REVENUE,
2019-2027F
7 MARKET INSIGHTS BY APPLICATION
8 MARKET INSIGHTS BY DEPLOYMENT
9 MARKET INSIGHTS BY HARDWARE
10 MARKET INSIGHTS BY VEHICLE TYPE
11 MARKET INSIGHTS BY REGION
12 PREDICTIVE AUTOMOBILE TECHNOLOGY MARKET DYNAMICS
13 PREDICTIVE AUTOMOBILE TECHNOLOGY MARKET OPPORTUNITIES
14 PREDICTIVE AUTOMOBILE TECHNOLOGY MARKET TRENDS
15 LEGAL & REGULATORY FRAMEWORK
16 DEMAND AND SUPPLY SIDE ANALYSIS
17 VALUE CHAIN ANALYSIS
18 COMPETITIVE SCENARIO
19 COMPANY PROFILED
20 DISCLAIMER
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