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Big Data Analytics in Automotive Market Growth, Trends And Forecast (2022 - 2027) By Types, By Application, By Regions and By Key Players - Advanced Micro Devices, Big Cloud Analytics, BMC Software

28 May, 2022 | 103 Pages
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The global Big Data Analytics in Automotive Market size is projected to accrue voluminously by 2027 registering a phenomenal CAGR of 16.81% during the review period (2022 to 2027)



Big Data Analytics in Automotive Market Overview



Big data analytics is referred to technology that captures, stores, manages, and analyzes big and variable data to solve complex problems. Big data analytics in automotive sector helps analyze data from fleet operators and vehicle users. It is popular in many industry verticals as it is used for casting and optimization. Awareness concerning benefits of big data analytics, advancement in big data platforms, unremitting investment by web giants and automotive leaders, and growth in volume of data drive the big data analytics in the automotive market. But, lack of analytical specialists and uncertain big data strategies are expected to restrain the growth of big data analytics in the automotive market. The advancement of cloud analytics makes way for different progress opportunities. Although scalability & maintenance of the system and privacy of the data are two of the biggest challenges for the market in the near future. In the recent technology-driven business environment, Big Data stands as one of the primary drivers of productivity and efficiency for manufacturers. With the high rate of adoption of sensors and connected devices and the enabling of M2M communication, there has been a massive rise in the automotive industry's data points. Data analytics is at a nascent stage in the automotive business. While data analytics has been a component of the mainstream in the manufacturing, marketing, and supply chain sectors of the automotive industry, data generation, and analysis from the product have seen the smallest effort.



Industry News



October 2020 - DRVR launched a new BI Analytics dashboard for Fuel. The dashboard helps fleet owners get information about the suitable vehicle, least economical fleet, and others. There is a need for a GPS provider to use the dashboard, which offers fuel data ideally via CanBus, but this can also be analog data or through a fuel sensor. GPS providers supported include Navixy, Ruptela, and Geotab.



October 2020 - Maruti Suzuki India Limited (MSIL) collaborated with Microsoft Research India to develop smartphone-based HAMS technology for testing applicants seeking a driving license. The HAMS technology has already been deployed at the Automated Driving Test Centre (ADTC), Dehradun, in association with Uttarakhand State Transport Department.



What are the major Applications, Types and Regions for Big Data Analytics in Automotive Market?



By Type, it is segmented into




  • Hardware

  • Software

  • Services

  • Others



By Applications it is segmented into




  • Product Development

  • Manufacturing & Supply Chain

  • After-Sales, Warranty & Dealer Management

  • Connected Vehicles & Intelligent Transportation

  • Marketing, Sales

  • Others



Big Data Analytics in Automotive Market Regional Analysis



Asia-Pacific has the max population of all the regions. With an increase in the urban population and increased purchasing power, Asia-Pacific is one of the largest automotive industry markets. China has been dominating the market in terms of the max number of car users across the world. According to the Chinese Association of Automotive Manufacturers, Chinese automotive companies sold over 25.76 million vehicles in 2020.



North America






    • US

    • Canada



  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Rest of Europe



  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Rest of Asia-Pacific



  • Rest of the World

    • Middle East & Africa

    • Latin America





The Big Data Analytics in Automotive Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type and segment. It focuses extensively on revealing a detailed regional analysis. The Global Big Data Analytics in Automotive Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.



What is our Big Data Analytics in Automotive Market Report Scope?























































Report Attributes



Report Details



Forecast Period 2022 to 2027 CAGR



CAGR of 16.81% during the review period (2022 to 2027).



By Type




  • Hardware

  • Software

  • Services

  • Others



By Application




  • Product Development

  • Manufacturing & Supply Chain

  • After-Sales, Warranty & Dealer Management

  • Connected Vehicles & Intelligent Transportation

  • Marketing, Sales

  • Others



By Companies



Advanced Micro Devices, Big Cloud Analytics, BMC Software, Cisco Systems, Deloitte, Fractal Analytics, IBM Corporation, Rackspace, Red Hat, SmartDrive Systems



Regions Covered




  • North America

  • Europe

  • Asia-Pacific

  • Rest of the World



Countries Covered




  • US

  • Canada

  • Germany

  • France

  • UK

  • Italy

  • Spain

  • Rest of Europe

  • China

  • Japan

  • India

  • Australia

  • South Korea

  • Rest of Asia-Pacific

  • Middle East & Africa

  • Latin America



Base Year



2022



Historical Year



2017 to 2021



Forecast Year



2022 to 2027



Number of Pages



103



Customization Available



Yes, the report can be customized as per your needs




 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



Key Takeaways from this Big Data Analytics in Automotive Report




  • Evaluate Big Data Analytics in Automotive market potential through analyzing growth rates (CAGR %), Volume (Units) and Value ($M) data given at country level - for product types, end use applications and by different industry verticals.

  • Understand the different dynamics influencing the market - growth driving factors, specific challenges and hidden opportunities.

  • Get in-depth insights on your competitor performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis and more.

  • Analyze the sales and distribution channels across geographies to enhance top-line revenues.

  • Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.

  • Get a quick outlook on the Big Data Analytics in Automotive market entropy - M&A's, deals, partnerships, product launches of all key players for the past 4 years.

  • Evaluate the import-export statistics, supply-demand and competitive landscape for more than top 20 countries globally for the market.



FAQ -



What is the study period of this market?



The Big Data Analytics in Automotive Market is studied from 2017 - 2027.



 What is the growth rate of Big Data Analytics in Automotive Market?



The Big Data Analytics in Automotive Market is growing at a CAGR of 16.81% over the next 5 years.



What regions does this Big Data Analytics in Automotive Market report covers?



North America (the United States, Canada, and Mexico)



Europe (Germany, France, UK, Russia, and Italy)



Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)



South America (Brazil, Argentina, Colombia, etc.)



The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)



All our reports are custom made to your company needs to a certain extent, we do provide 5 free consulting hours along with purchase of each report, and this will allow you to request any additional data to customize the report as your needs.


  1. INTRODUCTION

    1. MARKET DEFINATION

    2. MARKET DYNAMICS

    3. MARKET SEGMENTATION

    4. REPORT TIMLINES

    5. KEY STAKEHOLDERS



  2. RESEARCH METHODOLOGY

    1. DATA MINING

      1. SECONDARY RESEARCH

      2. PRIMARY RESEARCH

      3. SUBJECT MATTER EXPERT ADVICE



    2. QUALITY CHECK

    3. FINAL REVIEW

      1. DATA TRIANGULATION

      2. BOTTOM-UP APPROACH

      3. TOP-DOWN APPROACH

      4. RESEARCH FLOW





  3. EXECUTIVE SUMMARY

    1. INTRODUCTION

    2. GLOBAL Big Data Analytics in Automotive MARKET BY TYPES

    3. GLOBAL Big Data Analytics in Automotive MARKET BY APPLICATIONS



  4. MARKET DYNAMICS

    1. DRIVERS

      1. INCREASING DEMAND FOR Big Data Analytics in Automotive



    2. RESTRAINTS

      1. STRINGENT ENVIRONMENTAL REGUALTIONS

      2. HIGH COST ON MATERIALS



    3. OPPORTUNITIES

      1. Big Data Analytics in Automotive GROWTH

      2. APPLICATION OF Big Data Analytics in Automotive



    4. IMPACT OF COVID 19



  5. GLOBAL Big Data Analytics in Automotive MARKET, BY TYPES

    1. Introduction

    2. Hardware

    3. Software

    4. Services

    5. Other            



  6. GLOBAL Big Data Analytics in Automotive MARKET, BY APPLICATION

    1. Introduction

    2. Product Development

    3. Manufacturing & Supply Chain

    4. After-Sales, Warranty & Dealer Management

    5. Connected Vehicles & Intelligent Transportation

    6. Marketing, Sales

    7. Others   



  7. GLOBAL Big Data Analytics in Automotive MARKET, BY REGION

    1. NORTH AMERICA

      1. US

      2. CANADA

      3. MEXICO



    2. EUROPE

      1. GERMANY

      2. FRANCE

      3. UK

      4. ITALY

      5. RUSSIA

      6. REST OF EUROPE



    3. APAC

      1. CHINA

      2. SOUTH KOREA

      3. JAPAN

      4. INDIA

      5. AUSTRALIA

      6. ASEAN

      7. REST OF APAC



    4. MIDDLE EAST & AFRICA

      1. SAUDI ARABIA

      2. UAE

      3. SOUTH AFRICA

      4. TURKEY

      5. REST OF MEA



    5. SOUTH AMERICA

      1. BRAZIL

      2. REST OF MEA

      3. ARGENTINA

      4. REST OF SOUTH AMERICA





  8. COMPETITIVE LANDSCAPE

    1. MERGERS, ACQUISITIONS, JOINT VENTURES, COLLABORATIONS,

    2. AND AGREEMENTS

      1. KEY DEVELOPMENT



    3. MARKET SHARE (%) **/RANKING ANALYSIS

    4. STRATEGIES ADOPTED BY LEADING PLAYERS



  9. COMPANY PROFILES

    1. BUSINESS OVERVIEW

    2. COMPANY SNAPSHOT

    3. PRODUCT BENCHMARKING

    4. STRATEGIC INITIATIVES

      1. Advanced Micro Devices,

      2. Big Cloud Analytics,

      3. BMC Software,

      4. Cisco Systems,

      5. Deloitte,

      6. Fractal Analytics,

      7. IBM Corporation,

      8. Rackspace,

      9. Red Hat,

      10. SmartDrive Systems





SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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