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Data Ownership and Monetization Channels will Accelerate Big Data Analytics Growth to $10.54 Billion by 2025
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The automotive Big Data analytics ecosystem will be a confluence of several related sectors from sensor manufacturers, wearable's companies to telecommunications providers in addition to traditional ecosystem. This research provides an in-depth analysis of the Big Data analytics initiatives across the automotive digitalization pillars. OEMs and Tier Is will continue to invest in Big Data analytics companies during 2017 to 2020. Partnerships and collaboration are critical for data monetization.The future roadmap of digitalization in the automotive industry is expected to move rapidly from “digital services” to “car-as-a-service” to “mobility-as-a-service”, transforming the car into an element of a connected living solution by 2030. In the year 2016, digitalization underpins the transformation of business activities, process improvements, and the development of new competencies and business models across five key pillars within the automotive industry—Connected Supply Chain, Industrial Internet of Things and Industry 4.0, Connected and Autonomous Cars, Digital Retailing, and Mobility as a Service (MaaS). The study analyzes the strategies, growth analysis, competitive landscape, business models, and future focus areas of original equipment manufacturers (OEMs), technology companies, startups, and Tier I suppliers. Digitalization in the automotive industry will have a spiral effect on other industries. OEMs and Tier Is realized that digitization along with IoT, technology partnerships, software capabilities, and customized solutions will be the way forward for the global automotive industry from the year 2016 to 2025.OEMs digitalization strategy will rely heavily on data analytics and it must include vehicle digitalization, organization digitalization, customer focused strategies, and future mobility concepts in addition to targeting new business models. New investments from OEMs will be leveraged for innovations and transformations in 2017. Automotive OEMs and Tier Is will execute agile IT projects and leverage digital and BDA expertise from new startups. In addition to OEMs and Tier I suppliers initiatives, this study covers a detailed list of startups and technology companies across the five key pillars. Key Questions this Study will Answer:Why is Big Data important in the era of automotive digital transformation and where it can help in terms of features and services? What are the key markets for startups to venture into and what is the current revenue potential of those markets? What is the current level of involvement of key global OEMs and what are the available opportunities? Considering automotive digitalization, how much will the automotive industry spend from technology and software perspective? What are the revenue opportunities and business models in automotive digitalization and Big Data analytics?
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