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Artificial Intelligence in the Automotive Industry:
M&A Trend Analysis


October 2019 | 104 pages

The report highlights the inorganic route to acquire artificial intelligence (AI) skills and utilize them in the automotive sector


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What’s included:

A focused look at complementary skills, such as computer vision, gesture recognition, and AI-based analytics

An analysis of computer vision with object detection, classification, and semantic segmentation capabilities

A study of top technologies, such as AI-based data analytics, conversational AI, intelligent hardware and software solutions, and annotation techniques

A look at the possibilities of tuck-ins, business line expansion, and vertical and horizontal integration

A close look at the mobility market, where Ford, Intel, Baidu, and Uber have made significant acquisitions

A focused analysis of customer-centric solutions



About

Thanks to artificial intelligence (AI), the automotive sector is poised for a seismic shift as far as development of innovative hardware and software stack for Level-5 autonomy or intelligent ADAS systems are concerned. Organizations are trying to leverage innovative technologies for next generation mobility services. As a result, strategic mergers and acquisitions (M&A) are proving paramount for organizations to acquire AI skills and explore organic and inorganic growth opportunities in the mobility market.

This report provides comprehensive analysis of 67 deals from 2015 to 2017, which saw the highest number of M&A. It covers the key trends, span, technology capabilities, post-acquisition scenarios, and untapped areas in terms of technology.


1. Key Trends Driving AI Adoption in the Automotive Industry

  • The Need for Automotive Industry to Invest in AI
  • Transformation in Business Models with the Introduction of AI

2. AI-related M&A across Automotive Industry Value Chain

3. Methodology for M&A Analysis

4. M&A Analysis of AI in Automotive: Technology Trends

  • Acquirer Landscape
  • Technology Breakdown
  • Acquisition Trend: Computer Vision
  • Acquisition Trend: AI-based Data Analytics
  • Acquisition Trend: Conversational AI
  • Acquisition Trend: Cloud-based Services
  • Acquisition Trend: AI Hardware and Software
  • Acquisition Trend: Data Training
  • Acquisition Trend: Gesture Recognition
  • Acquisition Trend: Self-driving Software Stack
  • Acquisition Trend: Simulation Software
  • Acquisition Trend: Security
  • Acquisition Trend: Mapping Technologies
  • Acquisition Trend: Other Technology Trends

5. Insights and Recommendations

  • Acquisition Gap Analysis and Future Growth Opportunities
  • Concluding Remarks

6. References



Onam Prasad:

Onam holds a Master’s degree from the University of Illinois at Chicago with specialization in telecommunications. At the University of Illinois her course of study covered subjects including wireless communications, RF systems, semiconductors, networking, digital communication, etc. She was also a member of Society of Women Engineers and attended many conferences and sessions related to initiatives by women technologists and awareness of technology across diversity.

Onam has research expertise in topics related to IoT, 5G connectivity solutions, autonomous systems, RF devices, semiconductor fabrication, telecommunication equipment, ICs and Chipsets, etc. She works on custom research projects and provides technology consulting and advisory to clients on a range of aspects including creation of strategic partnerships, development and adoption of innovative or disruptive technologies, R&D and product roadmap creation, etc. by leveraging robust research approaches and methodologies that combine competitive intelligence, patent landscape, M&A, trend analysis and other important parameters. The combination of her education, expertise and professional experiences makes her one of Netscribes lead analysts in the electronics, telecom and semiconductors domains.


Faisal Shaikh:

Faizal has been associated with Netscribes’ Innovation Research team since the last 3 years. He has worked on emerging technology domains including IoT connectivity solutions and management, sensing/antenna technologies for autonomous vehicles and connected cars, 5G technology trends, hardware security solutions, RF front-end for portable devices, advanced semiconductor chipsets, futuristic display technologies, etc.

His areas of interest include semiconductor fabrication and processing, networking and 5G related studies, telecommunications, display technologies, user interfaces, sensors and robotics among others. He has been actively involved in technology assessment/consulting, competitor analysis and benchmarking, and technology roadmap studies that require complete understanding of the ecosystem.

Faizal graduated with a Bachelor’s degree in Engineering with specialization in Electronics and Telecommunications from Mumbai University.



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