Automotive Artificial Intelligence Software Market: Competitive Analysis 2020 to 2030
The Global Automotive Artificial Intelligence Software Market size is estimated to be USD 0.92 billion in 2019 and is predicted to reach USD 53.98 billion by 2030 with a CAGR of 44.8% from 2020-2030.
Automotive Artificial Intelligence Software is a
system which is used for the altertion, process and functions and others to
imitate human mind and absorbs the problem solving capacity automatically. This
technology is mainly used in self driving vehicles and semi-autonomous vehicle
to increase its operation efficiency and makes them more preferable as compared
to conventional vehicles.
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Market
Dynamics and Trends:
There
have been various developments taken place over the period of time which
includes technological advancements, development in infrastructure and systems
and others. Furthermore, there have been evolution in the automotive industry
with the combination of technology and flourishing automotive industry is
further expected accelerate the growth of automotive artificial intelligence software
market over the forecast period.
The
other factors include increase in the demand of autonomous vehicle, increased
demand of enhanced consumer experience, coupled with increase in the investment
by major market players are further expected to support the growth of
automotive artificial intelligence software. However, increase in cyber-crime
and increase in privacy concerns are expected to inhibit the market growth.
Moreover, increased demand of premium vehicle with advanced software and
systems to increase its operation efficiency and friendly user interface is
anticipated to create numerous opportunities in the automotive artificial
intelligence software market in the near future.
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Market Segmentations and
Scope of the Study:
The
global automotive artificial intelligence software market share is analyzed on
the basis of component, technology, application and geography. On the basis of
component, the market is segmented into hardware, software, services. The
hardware is sub segmented into processor, memory and network. The processor
segment is further divided into Microprocessor (MPU) and Graphics Processing
Unit (GPU). On the basis of technology, the market is divided into Machine
Learning & Deep Learning, Computer Vision, and Natural Language Processing.
On the basis of application, the market is fragmented into Semi-Autonomous and
Fully Autonomous. Geographic breakdown and analysis of each of the aforesaid
segments includes regions comprising North America, Europe, Asia-Pacific, and
RoW.
Geographical Analysis:
North
America is expected to hold the major market share owing to the increased
adoption of advance technology coupled with increase in automotive industry
over the forecast period. Furthermore, infrastructure development coupled with
increased demand of autonomous vehicles is further expected to accelerate the
growth of automotive artificial intelligence software market in the near
future.
Asia
Pacific is expected to show rapid growth with increasing market size owing to
the fast developing automotive industry in the region which is further expected
to expand the market. Moreover, increased adoption of advanced technology and
increase in automation in vehicles are expected to support the market growth.
Competitive Landscape:
The
automotive artificial intelligence software is highly competitive and also
consists of various market players. Some of the major market players include
NVIDIA Corporation, IBM Corporation, Micron Technology, Intel Corporation, BMW,
Toyota, Waymo, Otto Motors, Tesla Inc., and Microsoft Corporation among others.
Key Benefits:
·
The
Automotive Artificial Intelligence Software market report provides a
quantitative analysis of the current market and estimations through 2020-2030
that assists in identifying the prevailing market opportunities to capitalize
on.
·
The
study comprises a deep dive analysis of the Automotive Artificial Intelligence
Software market trend including current and future trends for depicting the
prevalent investment pockets in the market.
·
The
report provides detailed information related to key drivers, restraints and
opportunities and their impact on the Automotive Artificial Intelligence
Software market.
·
The
report incorporates competitive analysis of the market players along with their
market share in the global Automotive Artificial Intelligence Software market.
·
The
study elaborates SWOT analysis and Porters Five Forces model for the Automotive
Artificial Intelligence Software market.
·
Value
chain analysis in the Automotive Artificial Intelligence Software market study
provides a clear picture of the stakeholders’ roles.
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