Published on : Nov 18, 2019
Albany, New York, November 18, 2019: Automotive industry is undergoing fast paced changes on many fronts that include increased preference for low-carbon foot print, enhanced customer demand for multi-purpose vehicles and product innovations. Market players in entire value chain are actively merging and collaborating with various essential supply chain components including suppliers, manufacturers and retailers to expand their product portfolio in order to adapt to the fast changing environment.
Artificial Intelligence (AI) assists organizations with in many aspects such as advanced algorithms, innovative testing platform, 5G network adoption and next generation mobility services. Automotive platforms are filled with customizations which strengthens the industry. All the above changes give rise to the need of intelligent platforms for multiple automotive activities that include in-vehicle experience, sales and marketing, supply chain, ecommerce and insurance. Mergers and Acquisitions are adopted as primary strategy to boost the AI presence by the companies.
An intelligence report titled, “Artificial Intelligence In The Automotive Industry-M&A Trend Analysis” is the source of all the stated insights. This report is the latest addition to Market Research Hub’s ever growing repository.
AI supports business functions
The major advantages that are expected to be gained by AI in automotive include less equipment failure, increased productivity with robot human collaboration, reduction in quality issues, lean supply chains, smart project management and improvement in business support functions.
Major M&A in automotive industry include acquisition of Torc robotics by Dailmer to introduce autonomous driving solutions in highly commercialized trucks. Dailmer aims to add self-driving trucks to its existing inventory. Intel acquired Mobileye that couples the best technologies of both the companies to create automated driving solutions with help of high performance computing from Intel and Mobileye’s expertise in computer vision.
Other major M&A in AI domain in automotive sector include Analog Devices OtoSense, Baidu xPerception, Xilinx Deephi, Zurich insurance Brightbox, DoorDash IvI5, Verizon Telogis, and Continental Argus Cyber Security.
Artificial intelligence in automotive industry: Report Synopsis
Quantitative and qualitative assessment exhort intelligence and overarching report on the Artificial intelligence in automotive industry. Further, the report thoroughly delineates various aspects of the market that will potentially have considerable influence on the development of the Artificial intelligence in automotive industry. As such, those aspects incorporate drivers, trends, restraints, and opportunities. Furthermore, the report elucidates segregation of the market that provides an exhaustive analysis on artificial intelligence in automotive industry.
An insightful and deep-dive assessment of the competitive assessment of the Artificial intelligence in automotive industry pins hope on Porters’ Five Force Analysis. Accordingly, the Porters’ Five Force Analysis offers a pressing analysis on the potential strategies of the preeminent players in the Artificial intelligence in automotive industry. In addition, the business strategies counts on company overview, product portfolio, SWOT analysis, key differentiation and recent development.
Artificial intelligence in automotive industry: Research Methodology
Primary sources and secondary sources propel intelligence report on Artificial intelligence in automotive industry that provide deep dive analysis on the market. As such, the report provides reliable and unbiased projections, and assessments which have palpable impact on the market size and historical data. Besides, the report also counts on primary sources which hinges upon in-depth and intelligent analysis from well-grounded and reliable experts, telephonic interview, and a thorough assessment from surveys and seasoned analyst.
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