Global Big Data in Automotive Industry Market – Forecast and Analysis (2020-2027)

Global Big Data in Automotive Industry Market was valued at USD xx Mn in 2019 and is expected to reach at USD xx Mn by 2027 at a CAGR of xx% over the forecast period 2020-2027.

The report covers an in-depth analysis of COVID-19 pandemic impact on Global Big Data in Automotive Industry Market by region and on the key players revenue affected till July 2020 and expected short term and long-term impact on the market.

Global Big Data in Automotive Industry Market Dynamics:

The use of advanced analytical techniques against very broad, varied data sets, including structured, semi-structured and unstructured data, from various sources and from terabytes to zettabytes in different sizes, is the use of big data analytics. Big Data in Automotive Industry is capable of processing and interpret data from other software in an acceptable manner to streamline the business processes. Big data refers to data sets whose size or form is beyond conventional relational databases’ ability to capture, handle and process low latency data. Big data has one or more of the following features: high volume, high speed or high range via new ways and data sources, artificial intelligence (AI), mobile, social and Internet of Things (IoT) drive data complexity. Automotive manufacturers are motivated mainly by increased competition and the explosion of knowledge. For conventional analytics and database systems, the complexity and scalability of diverse data poses a challenge. The standard has been the real-time processing of big data, using the cloud as an enabler.

The automotive industry faces fierce competition, and in this dynamic environment, novel technologies are a must to survive. To achieve competitive advantage over others, companies need to update annually. Big data provides automotive companies with the opportunity to be a step ahead of those in the automotive industry. As opposed to other competitive companies in the industry, big data and analytics offer auto-financing companies an upper hand. Moreover, as it is the cornerstone of all technology and is also set to change the driving experience, big data and analytics is now a very important part of the car industry. All information is centrally collected and evaluated to understand which equipment works best in which environment. This helps companies to refine and decrease latency in how the equipment is used.

Big data in the automotive industry is also supposed to be driven by organisations’ need to achieve operational efficiencies.

Global Big Data in Automotive Industry Market is segmented by component, application, and by region. By component, solution is anticipated to account for a major share during the forecast period in 2019 and is expected to keep its dominance over the forecast period owing to the rising analysis of raw data into streamlined process across the organizations. Data collection is the leading segment among the solutions owing to the variations between the derived business process and optimal processes can be diagnosed and illustrated and visualised. By Application, Supply Chain Management segment held the highest market share in 2019 and is expected to keep its dominance over the forecast period because it enables the automotive manufacturing industry to obtain data from ERP systems in order to integrate data from various business functional units and supply chain representatives.

By geography, global Big Data in Automotive Industry market is segmented into North America, APAC, Europe, ME & Africa, and Latin America. Among these, Europe held the highest market share of xx% in 2019 and is expected to keep its dominance over the forecast period owing to widespread acceptance of innovations and the upcoming analytics technology among the large numbers of vendors operating in the region. Several European countries are also integrating process analytics tools into their current analytics portfolio to receive fast and actionable executive insights to keep pace with their analytical-driven rivals in other regions.

Report covers in-depth analysis of key development, marketing strategies, supply-side and demand side indicators and company profiles of market leaders, potential players, and new entrants. Key players operating in this market are adopting various organic and inorganic growth strategies such as merger & acquisitions, joint ventures, collaborations, expansion, new product launches and patents to increase their regional presence and business operations.

The objective of the report is to present a comprehensive analysis of the Global Big Data in Automotive Industry Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analysed, which will give a clear futuristic view of the industry to the decision-makers. The report also helps in understanding Global Big Data in Automotive Industry Market dynamics, structure by analyzing the market segments and project Global Big Data in Automotive Industry Market Clear representation of competitive analysis of key players by price, financial position, Product portfolio, growth strategies, and regional presence in the Global Big Data in Automotive Industry Market the report investor’s guide.
Scope of Global Big Data in Automotive Industry Market

Global Big Data in Automotive Industry Market Segmentation by Component

• Solution
o Data analytics
o Data Collection
o Data Discovery & Visualization
o Data Management
• Services
o Integration
o Support & Maintenance
o Consulting
Global Big Data in Automotive Industry Market Segmentation by Application

• Product Development
• Supply Chain Management
• Aftermarket
• Connected Vehicles & Intelligent Transportation
• Manufacturing
• Others
Global Big Data in Automotive Industry Market Segmentation by Region

• North America
• Europe
• ME & Africa
• South America
Global Big Data in Automotive Industry Market Major Players

• Accenture
• Adobe
• Auriga, Inc.
• Capgemini
• Dataiku
• Deloitte Touche Tohmatsu Limited
• DXC Technology
• Happiest Minds
• HCL Technologies Limited
• IBM Corporation
• Infosys Limited
• LHP Engineering Solutions
• Mu Sigma
• Oracle Corporation
• Reply
• SAS Institute Inc.
• Telefonaktiebolaget LM Ericsson

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