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Executive Analysis of Self-learning Artificial Intelligence in Cars, Forecast to 2025

Investments Worth $7.1 Billion to Develop 12 Use Cases across 3 Broad Applications by 2025

  • Research Code : K053-01-00-00-00
  • SKU : AU01364-NA-MR_19001
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  • Release Date : 19-Sep-2016
  • Region : North America
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Availability: In stock

Scope of the report

The research report includes the following segments:
Product scope: Self-learning AI in cars - Autonomous Cars, Virtual Assistance in Cars, new revenue streams through data analytics and licensing, and HAD mapping
Geographic scope: North America, Europe, China, and Japan
End-user scope: Automotive Industry Participants

Drivers and restraints, a detailed discussion of the four levels of evolution of self-learning cars, discussion of technology trends of key OEMs, and use case scenarios have also been provided for self-learning cars market.

What makes our reports unique?

We provide one of the longest market segmentation chains in this industry.
We conduct detailed market positioning, product positioning, and competitive positioning. Entry strategies, gaps, and opportunities are identified for all the stakeholders.

Comprehensive market analysis for the following sectors:
Pharmaceuticals, medical devices, biotechnology, semiconductor and electronics, energy and power supplies, food and beverages, chemicals, advanced materials, industrial automation, and telecom, and IT. We also analyze retailers and super-retailers, technology partners, and research and development (R&D) companies.

Key Questions Answered

What are self-learning cars? Who are the key industry participants applying this technology?
Where are the growth opportunities in the value chain? What are the roadmaps to reach a self-learning car?
What is the strategy of various industry participants, and what are the use case scenarios? Is self-learning car the best route to a self-driving car?
What are the new business models evolving around self-learning cars? Who are the key industry participants that will benefit from Self Learning Technology adaption?
How are new partnerships evolving and disrupting the traditional supply chain in the automotive industry?
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