Big Data in Automotive Industry Market – Global Forecast and Analysis (2023-2029)

Big Data in Automotive Industry Market size is expected to reach US$ 13.52 Bn by 2029, at a CAGR of 16.88% during the forecast period. 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 2022 and expected short term and long-term impact on the market.Big Data in Automotive Industry MarketTo know about the Research Methodology :- Request Free Sample Report

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 2022 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 2022 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 2022 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.

Big Data in Automotive Industry Market Scope: Inquire before buying

Big Data in Automotive Industry Market
Report Coverage Details
Base Year: 2022 Forecast Period: 2023-2029
Historical Data: 2018 to 2022 Market Size in 2022: US $ 4.53 Bn.
Forecast Period 2023 to 2029 CAGR: 16.88% Market Size in 2029: US $ 13.52 Bn.
Segments Covered: by Component Solution Data analytics Data Collection Data Discovery & Visualization Data Management Services Integration Support & Maintenance Consulting
by Application Product Development Supply Chain Management Aftermarket Connected Vehicles & Intelligent Transportation Manufacturing
by Software Deployment Type Cloud On-premise
by Data Type Structured Unstructured Semi-Structured

Big Data in Automotive Industry Market, by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest)

Key Players are :

1. Accenture 2. Adobe 3. ALLERIN TECH PVT LTD 4. Auriga, Inc. 5. Capgemini 6. Dataiku 7. Deloitte Touche Tohmatsu Limited 8. DXC Technology 9. Happiest Minds 10. HCL Technologies Limited 11. IBM Corporation 12. Infosys Limited 13. LHP Engineering Solutions 14. Mu Sigma 15. Oracle Corporation 16. Reply 17. SAS Institute Inc. 18. Telefonaktiebolaget LM Ericsson Frequently Asked Questions: 1. Which region has the largest share in Global Big Data in Automotive Industry Market? Ans: North America region held the highest share in 2022. 2. What is the growth rate of Global Big Data in Automotive Industry Market? Ans: The Global Big Data in Automotive Industry Market is growing at a CAGR of 16.88% during forecasting period 2023-2029. 3. What is scope of the Global Big Data in Automotive Industry market report? Ans: Global Big Data in Automotive Industry Market report helps with the PESTEL, PORTER, COVID-19 Impact analysis, Recommendations for Investors & Leaders, and market estimation of the forecast period. 4. Who are the key players in Global Big Data in Automotive Industry market? Ans: The important key players in the Global Big Data in Automotive Industry Market are – Accenture, Adobe, ALLERIN TECH PVT LTD, 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., and Telefonaktiebolaget LM Ericsson 5. What is the study period of this market? Ans: The Global Big Data in Automotive Industry Market is studied from 2022 to 2029.
1. Global Big Data in Automotive Industry Market: Research Methodology 2. Global Big Data in Automotive Industry Market: Executive Summary 2.1 Market Overview and Definitions 2.1.1. Introduction to Global Big Data in Automotive Industry Market 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. Global Big Data in Automotive Industry Market: Competitive Analysis 3.1 MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2 Consolidation in the Market 3.2.1 M&A by region 3.3 Key Developments by Companies 3.4 Market Drivers 3.5 Market Restraints 3.6 Market Opportunities 3.7 Market Challenges 3.8 Market Dynamics 3.9 PORTERS Five Forces Analysis 3.10 PESTLE 3.11 Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • South America 3.12 COVID-19 Impact 4. Global Big Data in Automotive Industry Market Segmentation 4.1 Global Big Data in Automotive Industry Market, by Component (2022-2029) • Solution o Data analytics o Data Collection o Data Discovery & Visualization o Data Management • Services o Integration o Support & Maintenance o Consulting 4.2 Global Big Data in Automotive Industry Market, by Application (2022-2029) • Product Development • Supply Chain Management • Aftermarket • Connected Vehicles & Intelligent Transportation • Manufacturing 4.3 Global Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) • Cloud • On-premise 4.4 Global Big Data in Automotive Industry Market, by Data Type (2022-2029) • Structured • Unstructured • Semi-Structured 5. North America Big Data in Automotive Industry Market(2022-2029) 5.1 North America Big Data in Automotive Industry Market, by Component (2022-2029) • Solution o Data analytics o Data Collection o Data Discovery & Visualization o Data Management • Services o Integration o Support & Maintenance o Consulting 5.2 North America Big Data in Automotive Industry Market, by Application (2022-2029) • Product Development • Supply Chain Management • Aftermarket • Connected Vehicles & Intelligent Transportation • Manufacturing 5.3 North America Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) • Cloud • On-premise 5.4 North America Big Data in Automotive Industry Market, by Data Type (2022-2029) • Structured • Unstructured • Semi-Structured 5.5 North America Big Data in Automotive Industry Market, by Country (2022-2029) • United States • Canada • Mexico 6. Europe Big Data in Automotive Industry Market (2022-2029) 6.1. European Big Data in Automotive Industry Market, by Component (2022-2029) 6.2. European Big Data in Automotive Industry Market, by Application (2022-2029) 6.3. European Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) 6.4. European Big Data in Automotive Industry Market, by Data Type (2022-2029) 6.5. European Big Data in Automotive Industry Market, by Country (2022-2029) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific Big Data in Automotive Industry Market (2022-2029) 7.1. Asia Pacific Big Data in Automotive Industry Market, by Component (2022-2029) 7.2. Asia Pacific Big Data in Automotive Industry Market, by Application (2022-2029) 7.3. Asia Pacific Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) 7.4. Asia Pacific Big Data in Automotive Industry Market, by Data Type (2022-2029) 7.5. Asia Pacific Big Data in Automotive Industry Market, by Country (2022-2029) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. Middle East and Africa Big Data in Automotive Industry Market (2022-2029) 8.1 Middle East and Africa Big Data in Automotive Industry Market, by Component (2022-2029) 8.2. Middle East and Africa Big Data in Automotive Industry Market, by Application (2022-2029) 8.3. Middle East and Africa Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) 8.4. Middle East and Africa Big Data in Automotive Industry Market, by Data Type (2022-2029) 8.5. Middle East and Africa Big Data in Automotive Industry Market, by Country (2022-2029) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. South America Big Data in Automotive Industry Market (2022-2029) 9.1. South America Big Data in Automotive Industry Market, by Component (2022-2029) 9.2. South America Big Data in Automotive Industry Market, by Application (2022-2029) 9.3. South America Big Data in Automotive Industry Market, by Software Deployment Type (2022-2029) 9.4. South America Big Data in Automotive Industry Market, by Data Type (2022-2029) 9.5. South America Big Data in Automotive Industry Market, by Country (2022-2029) • Brazil • Argentina • Rest Of South America 10. Company Profile: Key players 10.1 Accenture 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Global Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2 Adobe 10.3 ALLERIN TECH PVT LTD 10.4 Auriga, Inc. 10.5 Capgemini 10.6 Dataiku 10.7 Deloitte Touche Tohmatsu Limited 10.8 DXC Technology 10.9 Happiest Minds 10.10 HCL Technologies Limited 10.11 IBM Corporation 10.12 Infosys Limited 10.13 LHP Engineering Solutions 10.14 Mu Sigma 10.15 Oracle Corporation 10.16 Reply 10.17 SAS Institute Inc. 10.18 Telefonaktiebolaget LM Ericsson

About This Report

Report ID 78410
Category Information Technology & Telecommunication
Published Date July 2023
Updated Date
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