Scope of the Study
Big data analytics in automotive industry is helping the manufacturers to increase the efficiency in marketing as well as sales. It has improved the working by incorporating utilities like predictive maintenance. The big data analytics is helping the automotive industry in various departments such as design and production, supply chain improvements, and automobile financing. For instance, data related to real world driving experience is allowing the manufacturers to improve parameters like safety, fuel economy, engine efficiency, and battery power in automobiles. In supply chain, the company can compare cost, reliability and quality of concerned product components and machinery using big data.
The market study is being classified, by Application (Research & Development, Manufacturing, Procurement, Supply Chain Management, Marketing, Transportation & Distribution, Sales & Service, Aftermarket and Customer Behavior Analytics) and major geographies with country level break-up.
Accenture (Ireland), HCL Technologies Limited (India), IBM Corporation (United States), Infosys Limited (India), LHP Engineering Solutions (United States), Adobe Systems Inc. (United States), Allerin Tech Pvt Ltd (New Zealand), Auriga, Inc. (United States), Capgemini SE (France), Dataiku (United States), Deloitte Touche Tohmatsu Limited (United States), DXC Technology (United States) and Happiest Minds (India) are some of the key players profiled in the study.
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Big Data in Automotive market throughout the predicted period.
AdvanceMarketAnalytics has segmented the market of Global Big Data in Automotive market by Type, Application and Region.
On the basis of geography, the market of Big Data in Automotive has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Benefits of Big Data Analytics Such as Operational Efficiency is Fuelling the Market
- Usage of Smart Technologies Such as Sensors, Advanced Processors, and Others are Generating Data
- Increasing Demand of Machine Learning in Various Industries
- Inability to Manage Huge Amount of Data Effectively
- Increasing Dependencies by Enterprises on Big Data
- Growing Importance of Big Data for Designing and Manufacturing Processes
- Lack of Skilled Professionals with Technical Skills
Market Leaders and their expansionary development strategies
In July 2020, IBM has acquired WDG Automation which designs and develops robotic process automation (RPA), intelligent virtual agents (IVA) and artificial intelligence software.
On October 2019, Fujitsu Limited has announced that it will launch a new stream data processing platform for service providers for maximising the use of big data collected from connected cars. It facilitates simple and efficient automotive big data analysis by leveraging Fujitsu's data processing technology.
Key Target AudienceAutomobile manufacturers, Software vendors, Government associations, Research organisations and Others
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Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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