Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Big Data and Data Engineering Services Market by Type (Data Modeling, Data Integration, Data Quality, Analytics), By Application (Marketing and Sales, Finance, Operations, Human Resources and Legal) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Big Data and Data Engineering Services Market by Type (Data Modeling, Data Integration, Data Quality, Analytics), By Application (Marketing and Sales, Finance, Operations, Human Resources and Legal) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 231138 4200 Service & Software 377 136 Pages 4.6 (45)
                                          

Industry Growth Insights published a new data on “Big Data and Data Engineering Services Market”. The research report is titled “Big Data and Data Engineering Services Market research by Types (Data Modeling, Data Integration, Data Quality, Analytics), By Applications (Marketing and Sales, Finance, Operations, Human Resources and Legal), By Players/Companies Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5, Sigmoid, Nous Infosystems, Bodhtree, Brillio, BRIDGEi2i, Trianz”.

Scope Of The Report

Report Attributes

Report Details

Report Title

Big Data and Data Engineering Services Market Research Report

By Type

Data Modeling, Data Integration, Data Quality, Analytics

By Application

Marketing and Sales, Finance, Operations, Human Resources and Legal

By Companies

Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5, Sigmoid, Nous Infosystems, Bodhtree, Brillio, BRIDGEi2i, Trianz

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

136

Number of Tables & Figures

96

Customization Available

Yes, the report can be customized as per your need.


Global Big Data and Data Engineering Services Industry Outlook


Global Big Data and Data Engineering Services Market Report Segments:

The global Big Data and Data Engineering Services market is segmented on the basis of:

Types

Data Modeling, Data Integration, Data Quality, Analytics

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Marketing and Sales, Finance, Operations, Human Resources and Legal

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Accenture
  2. Capgemini
  3. Franz Inc
  4. Hidden Brains InfoTech
  5. L&T Technology Services
  6. NTT DATA
  7. Genpact
  8. Cognizant
  9. Infosys
  10. Mphasis
  11. Hexaware
  12. Happiest Minds
  13. KPMG
  14. EY
  15. Tiger Analytics
  16. LatentView Analytics
  17. InfoStretch
  18. Vensai Technologies
  19. Course5
  20. Sigmoid
  21. Nous Infosystems
  22. Bodhtree
  23. Brillio
  24. BRIDGEi2i
  25. Trianz

Global Big Data and Data Engineering Services Market Overview


Highlights of The Big Data and Data Engineering Services Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Data Modeling
    2. Data Integration
    3. Data Quality
    4. Analytics
  1. By Application:

    1. Marketing and Sales
    2. Finance
    3. Operations
    4. Human Resources and Legal
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Big Data and Data Engineering Services Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global Big Data and Data Engineering Services Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Big data is a term used to describe the large amounts of data that are being generated and collected. Data engineering services help organizations process and use big data in a way that is effective and efficient.

Some of the major companies in the big data and data engineering services market are Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant, Infosys, Mphasis, Hexaware, Happiest Minds, KPMG, EY, Tiger Analytics, LatentView Analytics, InfoStretch, Vensai Technologies, Course5, Sigmoid, Nous Infosystems, Bodhtree, Brillio, BRIDGEi2i, Trianz.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Big Data and Data Engineering Services Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Big Data and Data Engineering Services Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Big Data and Data Engineering Services Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Big Data and Data Engineering Services Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Big Data and Data Engineering Services Market Size & Forecast, 2018-2028       4.5.1 Big Data and Data Engineering Services Market Size and Y-o-Y Growth       4.5.2 Big Data and Data Engineering Services Market Absolute $ Opportunity

Chapter 5 Global Big Data and Data Engineering Services Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Big Data and Data Engineering Services Market Size Forecast by Type
      5.2.1 Data Modeling
      5.2.2 Data Integration
      5.2.3 Data Quality
      5.2.4 Analytics
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Big Data and Data Engineering Services Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Big Data and Data Engineering Services Market Size Forecast by Applications
      6.2.1 Marketing and Sales
      6.2.2 Finance
      6.2.3 Operations
      6.2.4 Human Resources and Legal
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Big Data and Data Engineering Services Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Big Data and Data Engineering Services Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Big Data and Data Engineering Services Analysis and Forecast
   9.1 Introduction
   9.2 North America Big Data and Data Engineering Services Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Big Data and Data Engineering Services Market Size Forecast by Type
      9.6.1 Data Modeling
      9.6.2 Data Integration
      9.6.3 Data Quality
      9.6.4 Analytics
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Big Data and Data Engineering Services Market Size Forecast by Applications
      9.10.1 Marketing and Sales
      9.10.2 Finance
      9.10.3 Operations
      9.10.4 Human Resources and Legal
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Big Data and Data Engineering Services Analysis and Forecast
   10.1 Introduction
   10.2 Europe Big Data and Data Engineering Services Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Big Data and Data Engineering Services Market Size Forecast by Type
      10.6.1 Data Modeling
      10.6.2 Data Integration
      10.6.3 Data Quality
      10.6.4 Analytics
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Big Data and Data Engineering Services Market Size Forecast by Applications
      10.10.1 Marketing and Sales
      10.10.2 Finance
      10.10.3 Operations
      10.10.4 Human Resources and Legal
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Big Data and Data Engineering Services Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Big Data and Data Engineering Services Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Big Data and Data Engineering Services Market Size Forecast by Type
      11.6.1 Data Modeling
      11.6.2 Data Integration
      11.6.3 Data Quality
      11.6.4 Analytics
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Big Data and Data Engineering Services Market Size Forecast by Applications
      11.10.1 Marketing and Sales
      11.10.2 Finance
      11.10.3 Operations
      11.10.4 Human Resources and Legal
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Big Data and Data Engineering Services Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Big Data and Data Engineering Services Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Big Data and Data Engineering Services Market Size Forecast by Type
      12.6.1 Data Modeling
      12.6.2 Data Integration
      12.6.3 Data Quality
      12.6.4 Analytics
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Big Data and Data Engineering Services Market Size Forecast by Applications
      12.10.1 Marketing and Sales
      12.10.2 Finance
      12.10.3 Operations
      12.10.4 Human Resources and Legal
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Big Data and Data Engineering Services Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Big Data and Data Engineering Services Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Big Data and Data Engineering Services Market Size Forecast by Type
      13.6.1 Data Modeling
      13.6.2 Data Integration
      13.6.3 Data Quality
      13.6.4 Analytics
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Big Data and Data Engineering Services Market Size Forecast by Applications
      13.10.1 Marketing and Sales
      13.10.2 Finance
      13.10.3 Operations
      13.10.4 Human Resources and Legal
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Big Data and Data Engineering Services Market: Competitive Dashboard
   14.2 Global Big Data and Data Engineering Services Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Accenture
      14.3.2 Capgemini
      14.3.3 Franz Inc
      14.3.4 Hidden Brains InfoTech
      14.3.5 L&T Technology Services
      14.3.6 NTT DATA
      14.3.7 Genpact
      14.3.8 Cognizant
      14.3.9 Infosys
      14.3.10 Mphasis
      14.3.11 Hexaware
      14.3.12 Happiest Minds
      14.3.13 KPMG
      14.3.14 EY
      14.3.15 Tiger Analytics
      14.3.16 LatentView Analytics
      14.3.17 InfoStretch
      14.3.18 Vensai Technologies
      14.3.19 Course5
      14.3.20 Sigmoid
      14.3.21 Nous Infosystems
      14.3.22 Bodhtree
      14.3.23 Brillio
      14.3.24 BRIDGEi2i
      14.3.25 Trianz

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