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Artificial Intelligence (AI) in Automotive - Thematic Intelligence

Publisher GlobalData
Published Jul 03, 2023
Length 71 Pages
SKU # GBDT18132609

Description

Artificial Intelligence (AI) in Automotive - Thematic Intelligence


Summary

Artificial intelligence (AI) refers to software-based systems that use data inputs to make decisions on their own. Recent progress in machine-learning (ML) algorithms (e.g., OpenAI’s GPT-4) and increasing computing power have enabled AI to solve problems in real-time. GlobalData estimates the total AI market will be worth $909 billion in 2030, having grown at a compound annual growth rate (CAGR) of 35% between 2022 and 2030.

The global AI market will be worth $909 billion by 2030. This report explores the applications of AI for the Automotive sector.

Global, Automotive, AI, AV, ADAS, Generative AI, Machine learning, Computer Aided Design

Who should buy

Our thematic investment research product, supported by our thematic engine, is aimed at senior (C-Suite) executives in the corporate world as well as institutional investors.

Scope
  • This report is part of our ecosystem of thematic investment research reports, supported by our “thematic engine”.
Reasons to Buy
  • This report will help you to understand AI and its potential impact on the automotive sector.
  • Benchmark your company against your competitors, by comparing how prepared 27 companies in the automotive sector are for AI disruption.
  • Identify and differentiate between the leading AI vendors and formulate an adoption plan for your company.
  • Position yourself for future success by investing in the right AI technologies. Cut through the noise with GlobalData’s priority ratings for each AI technology for each segment of the industry.
  • Develop relevant and credible sales and marketing messages for automotive companies by understanding key industry challenges and where AI use cases are most useful.
  • Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the automotive industry.

Table of Contents

71 Pages
Executive Summary
Players
Automotive Challenges
The Impact of AI on the Automotive Sector
Case Studies
AI Timeline
Market Size and Growth Forecasts
Signals
Mergers and acquisitions
Patent trends
Company filings trends
Hiring trends
AI Value Chain
Hardware
Data management
Foundational AI
Advanced AI capabilities
Delivery
Companies
Sector Scorecard
Vehicle manufacturing sector scorecard
Glossary
Further Reading
Our Thematic Research Methodology
About GlobalData
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