October 2019 | 104 pages
The report highlights the inorganic route to acquire artificial intelligence (AI) skills and utilize them in the automotive sector
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
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
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
5. Insights and Recommendations