Automotive AI (Artificial Intelligence) Market Future Growth with Technology and Outlook 2020 to 2027
The
Automotive
AI (Artificial Intelligence) market was valued at USD 520
million in 2018 and is expected to grow at a CAGR of 43.6% CAGR during the
forecast period (from 2018 – 2026). Increasing demand for enhanced customer
experience and requirement convenience features, technological advancement of
autonomous vehicles, growing privacy and security concern, and rising demand
for luxurious vehicle segments are the critical factors that influence the rise
of the global automotive artificial intelligence (AI) market. These factors are
expected to either drive automotive AI market growth.
The
COVID-19 pandemic has drastically altered the sectors of all the industry
verticals across the world and has dynamically changed the economic scenario of
the Automotive AI (Artificial Intelligence) market. The report is furnished
with extensive data on the market scenario and financial structure owing to the
coronavirus pandemic. The report provides substantial data about the present
and future impact of COVID-19 on the market. The report covers extensive
analysis of present and future trends and the factors that are likely to
influence the growth of the market in a post-pandemic scenario.
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The
report aims to help readers and users improve their business performances by
providing insightful data about the business sphere, such as recent
technological development, product advancements, adoption of strategic business
steps, and new processes. The report is formulated through exhaustive primary
and secondary research which is verified and validated by industry experts,
efficient analysts, and professionals.
The
report offers an extensive analysis of the competitive landscape along with
business overviews, expansion plans, and strategic alliances such as mergers
and acquisitions, joint ventures, collaborations, product and brand promotions,
government and corporate deals, and partnerships, among others.
Leading Players Analyzed in the Report:
NVIDIA Corporation (US), Alphabet Inc.
(US), Intel Corporation (US), IBM Corporation (US), Microsoft Corporation (US),
Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc.
(US), Tesla Inc. (US), Volvo Car Corporation (Sweden) and others.
Automotive AI by
Technology (Revenue, USD Million; 2016–2026)
Machine
and Deep Learning, Computer Vision, Natural Language Processing
Automotive AI by Function
(Revenue, USD Million; 2016–2026)
Digital/
Mobility Services, Manufacturing Operations, Procurement, R&D and
Engineering, Customer Experience, Supply Chain
Automotive AI by Process
(Revenue, USD Million; 2016–2026)
Signal
Recognition, Image Recognition, Data Mining
Automotive AI by
Component (Revenue, USD Million; 2016–2026)
Hardware,
Software
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Key Regions Studied in the Report:
·
North America (U.S., Canada)
·
Europe (U.K., Italy,
Germany, France, Rest of EU)
·
Asia Pacific (India,
Japan, China, South Korea, Australia, Rest of APAC)
·
Latin America (Chile,
Brazil, Argentina, Rest of Latin America)
·
Middle East & Africa
(Saudi Arabia, U.A.E., South Africa, Rest of MEA)
The
Global Automotive AI (Artificial Intelligence) Market imparts a deeper
understanding of the Automotive AI (Artificial Intelligence) market by
providing a panoramic view of the industry vertical. Furthermore, to offer a
better understanding of the competitive landscape, extensive SWOT analysis and
Porter’s Five Forces analysis are included in the report. Along with this,
feasibility analysis and investment return analysis are also covered in the
report.
Further,
the report is fragmented on the basis of product types offered in the market,
application spectrum, and key regions of the Automotive AI (Artificial
Intelligence) market. The segments are studies based on current and emerging
trends in the Automotive AI (Artificial Intelligence) market. The regional
segment covers the key regions such as North America, Europe, Asia Pacific,
Latin America, and Middle East and Africa. The regions are studied for the
production and consumption patterns, import/export analysis, supply and demand
ratio, market share and size based on volume and value, trends and demands,
revenue share, and presence of the key players of the market.
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