AI in Transportation Market Analysis, Future Plans, Technological Advancement, Target Audience, Growth Prospects Predicted by 2023
Market Highlights
According to
Market Research Future (MRFR)’s recently published report, the global AI in
transportation market is expected to expand at 18.03% CAGR during the forecast
period 2017 to 2023. It has been estimated that the valuation of the market
will grow from USD 1.2 Bn in 2017 to USD 3.07 Bn by the end of 2023. The strong
value maintained by the transportation industry has paved the way for the swift
adoption of AI. The rising need for vehicle and driver safety due to increasing
road accidents have catalyzed the demand for AI in transportation.
Additionally, the developed country-level markets have already started the
production of autonomous cars, which is projected to have a positive influence
on the market growth.
The ongoing
industry trend of truck platooning coupled with the growing applications of AI
in railway cargo transportation is predicted to accelerate the revenue creation
for the market participants over the next couple of years. However, security
concerns associated with the handling of transportation data and the lack of
supportive infrastructure for AI enabled vehicles remains a challenge to the
market proliferation.
Get a Free Sample @https://www.marketresearchfuture.com/sample_request/6673
Major Key players
·
Continental
AG
·
Robert
Bosch GmbH
·
NVIDIA
Corporation
·
Microsoft
Corporation
·
Volvo
Group
·
Daimler
AG
·
Scania
Group
·
MAN
SEPACCAR Inc.
·
ZF
Friedrichshafen AG
·
Valeo
SA
Segmentation:
This MRFR’s
report offers a detailed segmental analysis of the global AI in transportation
market based on offerings, IoT communication, technologies, machine learning
technology, and applications. By offerings, the market has been segmented into
hardware and software. The hardware segment is further sub-segmented into
sensors, CPUs, GPUs, and others. The software segment has been sub-segmented
into AI platforms, and AI solutions. The AI solutions market is further
sub-segmented into autonomous driving solutions, and intelligent repair
solutions.
By IoT
communication technologies, the market has been segmented into LTE, 5G, and
LPWAN. The LTE segment has successfully penetrated the market and is presently
leading it. Meanwhile, the LPWAN segment is estimated to expand at a higher
CAGR over the forecast period.
By machine
learning technology, the market is segmented into deep learning, computer
vision, natural language processing, and context awareness. The deep learning
segment is forecasted to proliferate substantially at the highest CAGR owing to
its extensive use in the production of autonomous cars.
By applications,
the market has been segmented into autonomous truck, semi-autonomous trucks,
truck platooning, human-machine interface (HMI), predictive maintenance,
precision and mapping, and others (driverless buses, smart traffic management).
Among these, the human-machine interface (HMI) segment accounts for the largest
market share presently. Meanwhile, the semi-autonomous truck segment is
expected to mark a relatively higher CAGR due to the rising demand for
semi-autonomous trucks across the world.
Regional Analysis:
The global
market for AI in transportation, by region, has been segmented into North
America, Europe, Asia Pacific, and the Rest of the World. North America is
currently leading the global market and is projected to retain its prominence
over the next couple of years. The presence of prominent country-level markets
and key players are supposed to have a favorable impact on the growth of the
market.
Additionally,
the region is a pioneer in technological advancements and is well-equipped for
the adoption of AI technology in transportation. All these factors are
projected to combinedly boost the expansion of the regional market over the
assessment period. Meanwhile, the market in Europe exhibits immense potential
for growth and development. It is expected to register the highest CAGR during
the forecast period. The adoption of autonomous cars, high economic growth
rate, thriving automotive sector, etc. are projected to catapult the market on
an upward trajectory.
Browse Complete Report @ https://www.marketresearchfuture.com/reports/ai-in-transportation-market-6673
TABLE OF
CONTENTS
1 Executive
Summary
2 Scope Of
The Report
2.1 Market
Definition
2.2 Scope Of The
Study
2.2.1 Research
Objectives
2.2.2
Assumptions & Limitations
2.3 Markets
Structure
3 Market
Research Methodology
3.1 Research
Process
3.2 Secondary
Research
3.3 Primary
Research
3.4 Forecast
Model
4 Market
Landscape
4.1 Porter’s
Five Forces Analysis
4.1.1 Threat Of
New Entrants
4.1.2 Bargaining
Power Of Buyers
4.1.3 Threat Of
Substitutes
4.1.4 Segment Rivalry
4.2 Value
Chain/Supply Chain Of Global AI In Transportation Market
Continued………
About Market Research Future:
At Market Research
Future (MRFR), we enable
our customers to unravel the complexity of various industries through our
Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research
Reports (3R), Continuous-Feed Research (CFR), and Market Research &
Consulting Services.
MRFR team have
supreme objective to provide the optimum quality market research and
intelligence services to our clients. Our market research studies by products,
services, technologies, applications, end users, and market players for global,
regional, and country level market segments, enable our clients to see more,
know more, and do more, which help to answer all their most important
questions.
Contact:
Market Research Future
+1 646 845 9312
Email: sales@marketresearchfuture.com
Comments
Post a Comment