What is Automotive Data Analytics - Market?
Data analytics is widely used in the automotive industry to solve various business problems including supply chain, inventory, maintenance, and marketing & finance-related problems. Automotive data analytics is used by automakers to analyze customers’ behavior towards the products or services that helps to design and build custom solutions in order to improve service and customer experience. Further, predictive analytics is used to gain insights about the issues in the vehicle and improve aftermarket services like maintenance and personalization services. Data analytics helps automakers to plan and manage the inventory and marketing mix of specific targeted groups of consumers.
The market study is being classified, by Application (Inventory Management, Predictive Analytics, Customer Behavior Analytics, Marketing Spend Management and Others) and major geographies with country level break-up.
N-iX (Ukraine), Data Reply (United Kingdom), Phocas Software (Australia), Softweb Solutions (United States), DBi Data Business Intelligence (Spain), OmniSci, Inc. (United States), IBM (United States), Dataiku (United States), Oracle Corporation (United States), Mayato (Germany), QBurst (India), Teradata (United States), RapidMiner (United States), Infosys (India) and Grape Up (United States) are some of the key players profiled in the study.
The key manufacturers are targeting the innovations of the products with better quality, better technical characteristics, and also assist in providing and humanizing the after-sale service to the consumers. The key players are probable to keep a stronghold on the market over the anticipated period. The key players are accepting strategic decisions and are thinking upon mergers and acquisitions in order to maintain their presence in the market Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Automotive Data Analytics - market throughout the predicted period.
Analyst at AMA have segmented the market study of Global Automotive Data Analytics - market by Type, Application and Region.
On the basis of geography, the market of Automotive Data Analytics - has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, 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.
- Surging Demand of Predictive Analytics in the Automotive Industry to Analyze Performance of Vehicle and Aftermarket Services
- Increasing Deployment of Data Analytics Solutions by Automotive Manufacturers for Visibility Tracking and Inventory Management
- Integration of AI into Big Data and Innovation in Data Analytics Technology
- Growing Privacy Concern and High Cost Associated With Workforce Training
- Evolution of Electric Vehicles and Emerging Trend of Autonomous Driving Has Potential to Create Many Opportunities.
- Low Quality of Data and Complex & Bias Analytical Tools
In 2018, RapidMiner launched a new next-generation cloud data science platform for data scientists to business analysts easily manage and deploy predictive models in the cloud. The new model uses automated machine learning that helps to automatically search and merge data and build predictive models in a few minutes. The new cloud platform is developed on the modern, powerful architecture, and complements existing RapidMiner products Studio, Server, and Radoop.
Key Target AudienceNew Entrants/Investors, Analysts and Strategic Business Planners, Automotive Data Analytics Solution & Service Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations, End-Users and Others