OEMs Must Adopt New Business Models Driven by AI and Machine Learning Technologies to Capitalize on Growth Potential

DUBLIN, Jan. 17, 2022 /PRNewswire/ — The “Progress Alternatives for World Synthetic Intelligence in Automotive” report has been added to’s providing.

This analysis service examines the position synthetic intelligence (AI) will play within the transformation of the automotive house. AI is a key disruptive know-how, whereby automakers are evolving into know-how corporations and increasing their service choices past manufacturing autos.

Know-how implementation has elevated, and the post-pandemic scenario seems to be constructive for all stakeholders; nevertheless, automakers have but to completely harness AI’s potential of their service choices. Though AI is within the nascent stage of improvement, OEMs are adopting it throughout the automotive worth chain to enhance manufacturing and to boost buyer expertise, advertising, gross sales, and after-sales companies.

This report examines use circumstances and enterprise alternative areas for varied gamers within the automotive ecosystem, together with OEMs, Tier I suppliers and know-how service suppliers, and new entrants or start-ups. Because the business continues to evolve, AI capabilities will develop into the core of automotive options.

The examine identifies key AI developments impacting the business, together with the convergence of connectivity, autonomous, sharing/subscription, and electrification (CASE); the growing use of digital assistants; and the emergence of cloud and information analytics. Dialogue covers the adoption of varied AI automotive business components and lists firms to be careful for on this house.

Moreover, this report guides market individuals on methods to chart their strategic priorities, equivalent to partnerships, acquisitions, and new capabilities constructed to capitalize on progress alternatives within the automotive AI house. In conclusion, high progress alternatives are mapped out for automotive OEMs, Tier I suppliers, and know-how resolution suppliers.

Key Matters Lined:

1. Strategic Imperatives

  • Why Is It More and more Troublesome to Develop?
  • The Strategic Crucial 
  • The Affect of the Prime 3 Strategic Imperatives on the Automotive Synthetic Intelligence (AI) Business
  • Progress Alternatives Gasoline the Progress Pipeline Engine

2. Progress Dynamics – Drivers, Restraints, and Alternatives

  • Findings
  • Alternatives Overview
  • AI – Studying Cycle
  • Progress Drivers
  • Progress Restraints
  • Automotive AI Drivers – Regional Affect Evaluation
  • Automotive AI Challenges – Regional Affect Evaluation
  • Alternatives for OEMs

3. World OEM AI Roadmap – Introduction

  • AI Capabilities
  • Automotive AI Software program – Potential Nations
  • Automotive OEM Partnerships
  • Automotive AI Focus – Western Firms
  • Automotive AI Focus – Japan and Korea
  • Automotive AI Focus – Chinese language Firms

4. Options Supplied in Automotive AI

  • Automotive AI – Know-how Overview
  • AI Utility Classes and Worth Chain

5. Utility Areas for Automotive AI

  • Automotive AI – Key Utility Areas
  • Automotive AI – Utility Space
  • Case Research – AI Utility
  • Automotive AI Software program Adoption by Nation
  • Future Automotive AI Choices
  • AI Affect on Autonomous Automobiles
  • AI Affect on Linked Mobility
  • AI Affect on Shared Mobility
  • AI Affect on EVs
  • Case Research – AI in Autonomous Automobiles
  • Case Research – AI in Manufacturing and Security

6. Globally Launched New AI Options

  • Future Know-how Plans
  • Chinese language Firms and AI
  • Future Cockpit Know-how
  • Future AI Infotainment Methods
  • Future AI Security Know-how

7. Main World Automotive AI Suppliers

  • Automotive AI – Worth Chain
  • US Automotive AI Firms – Autonomous Automobiles
  • European Automotive AI Firms – Autonomous Automobiles
  • Asian Automotive AI Firms – Autonomous Automobiles
  • Automotive AI Firms – Autonomous Automobiles
  • Automotive AI Firms – Predictive Upkeep
  • Automotive AI Firms – Cloud Companies
  • Automotive AI Firms – Driver Monitoring System
  • Harman Ignite – Automotive Cloud Platform

8. Developments in AI-linked Merchandise for Automotive

  • AI in Automotive Manufacturing
  • AI in Automotive Manufacturing – Utility
  • AI-based Consolation Functions
  • AI in Automotive HMI
  • Case Research – Visteon’s Cockpit of the Future
  • AI in Cloud Companies
  • Case Research – Volkswagen Automotive Cloud
  • Case Research – VW Collaboration with Agro AI
  • AI in Driver Monitoring Methods
  • AI in Driver Monitoring Methods – Utility
  • AI in Predictive Analytics
  • Framework for AI Driverless Vehicles

9. Alternatives Panorama

  • Automotive AI Options – Excessive Relevance
  • Automotive AI Options – Excessive Relevance
  • AI Options – Mature Markets vs. Rising Markets
  • Diploma of Certainty vs. Affect on AI Adoption
  • Future AI Functions for OEMs
  • Strategic Means Ahead – AI Adoption within the Automotive Business

10. Progress Alternative Universe

  • Progress Alternative 1 – AI-powered Digital and Voice Assistants
  • Progress Alternative 2 – Monetizing Information Insights
  • Progress Alternative 3 – Augmented Actuality Options
  • Progress Alternative 4 – Investments and Partnerships

For extra details about this report go to

Media Contact:

Analysis and Markets
Laura Wooden, Senior Supervisor
[email protected]

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SOURCE Analysis and Markets

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