Automotive Artificial Intelligence Market Predicted to Hit US$ 17.6 Billion by 2028

IMARC Group, a leading market research company, has recently releases report titled “Automotive Artificial Intelligence Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023–2028.” The study provides a detailed analysis of the industry, including the global automotive artificial intelligence market size, growth, share, trends, and forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.

What is Automotive Artificial Intelligence?

Artificial intelligence (AI) refers to one of the most progressive technologies of computer science involved with creating smart devices capable of performing tasks that are usually done by humans. It is associated with human intelligence via similar characteristics, such as language understanding, reasoning, problem-solving, learning, etc. Artificial intelligence is extensively used in semi-autonomous and autonomous vehicles to predict malfunctions, control smart devices, schedule maintenance programs, and collect data on events, including speeding and traffic violations, etc. This, in turn, aids in enhancing workflow, privacy, data security, etc., and enables faster innovation cycles.

How Big Is the Automotive Artificial Intelligence Market?

The global automotive artificial intelligence market size reached US$ 3.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 17.6 Billion by 2028, exhibiting a growth rate (CAGR) of 31.91% during 2023–2028.

Global Industry Trends and Drivers:

The escalating demand for autonomous vehicles, owing to their several features, such as autopilot and automatic parking that minimize human effort, is among the primary factors driving the automotive artificial intelligence market. In addition to this, the launch of various policies by government bodies across countries to promote road safety is further augmenting the market growth. Moreover, automotive AI assists in predicting the movements of objects in the vicinity of the vehicle, self-parking, and auto-changing lanes, thereby improving driver comfort and reducing accidents, which is also catalyzing the global market. Apart from this, the introduction of vehicle tracking software that is set to provide a live update on several locations efficiently and effectively is acting as another significant growth-inducing factor. Furthermore, the development of a driver monitoring system that utilizes a driver-facing hi-tech camera on the dashboard to alert drivers from distraction and drowsiness is expected to bolster the automotive artificial intelligence market in the coming years.

What Is Included In Market Segmentation?

The report has been segmented the market into following categories:

Breakup by Component:

  • Hardware
  • Software
  • Services

Breakup by Technology:

  • Machine Learning and Deep Learning
  • Computer Vision
  • Natural Language Processing

Breakup by Process:

  • Data Mining
  • Image Recognition
  • Signal Recognition

Breakup by Application:

  • Semi-Autonomous
  • Autonomous

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

The report provides a comprehensive analysis of the industry key players listed below:

Bayerische Motoren Werke AG, Daimler AG, Ford Motor Company, Hyundai Motor Company, Intel Corporation, International Business Machines Corporation, Micron Technology Inc., Microsoft Corporation, NVIDIA Corporation, Qualcomm Incorporated, Tesla Inc., Toyota Motor Corporation and Uber Technologies Inc.

Key highlights of the Report:

  • Market Performance (2018–2023)
  • Market Outlook (2023–2028)
  • COVID-19 Impact on the Market
  • Porter’s Five Forces Analysis
  • Historical, Current and Future Market Trends
  • Market Drivers and Success Factors
  • SWOT Analysis
  • Structure of the Market
  • Value Chain Analysis
  • Comprehensive Mapping of the Competitive Landscape

TOC for the Report:

  • Preface
  • Scope and Methodology
  • Executive Summary
  • Introduction
  • SWOT Analysis
  • Value Chain Analysis
  • Price Analysis
  • Competitive Landscape

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