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HOME Top Market Reports Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), Organization Size, Industry, and Region - Global Forecast to 2023

Big Data and Data Engineering Services Market by Service Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), Organization Size, Industry, and Region - Global Forecast to 2023

By: marketsandmarkets.com
Publishing Date: September 2018
Report Code: TC 6571

 

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[148 Pages Report] The global big data and data engineering services market size is expected to grow from USD 29.50 billion in 2017 to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. The base year for this study is 2017, and the forecast period is 2018–2023.

Big data and data engineering services help organizations streamline their business processes by capturing and interpreting business data. They enable organizations to gain insights and shift to reliable and fast decision-making process.

Objectives of the report are the following:

  • To describe and forecast the big data and data engineering services market by service type, business function, organization size, industry, and region
  • To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To analyze the subsegments with respect to individual growth trends, prospects, and contribution to the total market
  • To analyze the opportunities in the market for stakeholders and provide the details of a competitive landscape for the major players
  • To forecast the revenue of market segments with respect to all the major regions, namely, North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA)
  • To profile the key players and comprehensively analyze recent developments and positioning
  • To analyze competitive developments, such as partnerships, collaborations, agreements, acquisitions, new product launches, product upgradations, and R&D activities in the market

The research methodology used to estimate and forecast the big data and data engineering services market began with capturing the data on key vendors’ revenues through secondary research sources, such as companies’ websites, Factiva, and D&B Hoovers. The other secondary sources included annual reports, press releases, and investor presentations of companies; white papers and certified publications; and articles from recognized authors, directories, and databases. The vendor offerings were also taken into consideration to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global market from the revenues of the key players in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with the key people, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The following figure provides the breakup of primary participants’ profiles:

Big Data and Data Engineering Services Market

To know about the assumptions considered for the study, download the pdf brochure

The big data and data engineering services ecosystem comprises major vendors, such as Accenture (Ireland), Genpact (US), Cognizant (US), Infosys (India), Capgemini (France), NTT DATA (Japan), Mphasis (India), L&T Technology Services (India), Hexaware (India), Happiest Minds (India), KPMG (Netherlands), EY (UK), Tiger Analytics (US), LatentView Analytics (US), InfoStretch (US), Vensai Technologies (India), Course5 (US), Sigmoid (US), Nous Infosystems (India), Bodhtree (US), Hidden Brains InfoTech (India), Brillio (US), Franz Inc. (US), BRIDGEi2i (India), and Trianz (US). Other stakeholders in the big data and data engineering services market include consulting service providers, Information Technology (IT) service providers, resellers, enterprise users, and technology providers.

The target audience of the big data and data engineering services market report are:

  • Solution vendors
  • Original Equipment Manufacturers (OEMs)
  • System integrators
  • Advisory firms
  • National regulatory authorities
  • Venture capitalists
  • Private equity groups
  • Investment houses
  • Equity research firms

The study answers several questions for the stakeholders, primarily, which market segments to focus in the next 2-5 years for prioritizing the efforts and investments.

Scope of the Report

The research report categorizes the big data and data engineering services market to forecast the revenues and analyze the trends in each of the following subsegments:

By Service Type

  • Data modeling
  • Data integration
  • Data quality
  • Analytics

By Business Function

  • Marketing and sales
  • Operations
  • Finance
  • Human Resources (HR)

By Organization Size

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Industry

  • Banking, Financial Services, and Insurance (BFSI)
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government
  • Media and telecom
  • Others (Travel and Hospitality, Transportation and Logistics, and Energy and Utilities)

By Region

  • North America
  • Europe
  • APAC
  • Latin America
  • MEA

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakdown of the North American big data and data engineering services market
  • Further breakdown of the European market
  • Further breakdown of the APAC market
  • Further breakdown of the MEA market
  • Further breakdown of the Latin American market

Company Information

  • Detailed analysis and profiling of additional market players

Table of Contents

1 Introduction (Page No. - 18)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 22)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 29)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Opportunities in the Big Data and Data Engineering Services Market
    4.2 Market Share, By Region
    4.3 Market Top 4 Service Types and Regions

5 Market Overview (Page No. - 36)
    5.1 Introduction
           5.1.1 Drivers
                    5.1.1.1 Increasing Volume of Unstructured Data, Due to the Phenomenal Growth of Interconnected Devices and Social Media
                    5.1.1.2 Cost-Effective Services and Cutting-Edge Expertise Rendered By Data Servicing Companies
                    5.1.1.3 Rising Need for Adhering to Regulatory and Compliance Requirements
           5.1.2 Restraints
                    5.1.2.1 Inability of Service Providers to Provide Real-Time Insights
           5.1.3 Opportunities
                    5.1.3.1 New Business Propositions
                    5.1.3.2 Increasing Volume of Data Across Small and Medium-Sized Enterprises (SMEs)
           5.1.4 Challenges
                    5.1.4.1 Data Diversity
                    5.1.4.2 Privacy and Security Concerns
    5.2 Prevailing Regulations for Privacy and Security of Data
           5.2.1 Health Insurance Portability and Accountability Act (HIPAA) of 1996
           5.2.2 Health Information Technology for Economic and Clinical Health (HITECH) Act
           5.2.3 Sarbanes–Oxley Act of 2002
           5.2.4 European Market Infrastructure Regulation (EMIR)
           5.2.5 EU General Data Protection Regulation (GDPr)
    5.3 Big Data and Data Engineering Services: Use Cases
           5.3.1 Use Case #1: Increase Customer Base and Improve Loyalty
           5.3.2 Use Case #2: Improve Decision-Making and Data Science Capacity
           5.3.3 Use Case #3: Big Data Integration and Governance
           5.3.4 Use Case #4: Develop Data Reservoir
           5.3.5 Use Case #5: Develop Data Lakes
           5.3.6 Use Case #6: Data Analytics Strategic Evaluation
           5.3.7 Use Case #7: Data Integration and Consumption for A Logistics Conglomerate
           5.3.8 Use Case #8: Identifying Optimal Treatment Plans for Individual Patients

6 Big Data and Data Engineering Services Market, By Service Type (Page No. - 46)
    6.1 Introduction
    6.2 Data Modeling
    6.3 Data Integration
    6.4 Data Quality
    6.5 Analytics

7 Market By Business Function (Page No. - 51)
    7.1 Introduction
    7.2 Marketing and Sales
    7.3 Finance
    7.4 Operations
    7.5 Human Resources and Legal

8 Big Data and Data Engineering Services Market, By Organization Size (Page No. - 56)
    8.1 Introduction
    8.2 Large Enterprises
    8.3 Small and Medium-Sized Enterprises

9 Market By Industry (Page No. - 60)
    9.1 Introduction
    9.2 Banking, Financial Services, and Insurance
    9.3 Healthcare and Life Sciences
    9.4 Retail and Ecommerce
    9.5 Manufacturing
    9.6 Media and Telecom
    9.7 Government
    9.8 Others

10 Big Data and Data Engineering Services Market, By Region (Page No. - 67)
     10.1 Introduction
     10.2 North America
             10.2.1 By Country
                        10.2.1.1 United States
                                     10.2.1.1.1 By Organization Size
                        10.2.1.2 Canada
                                     10.2.1.2.1 By Organization Size
             10.2.2 By Service Type
             10.2.3 By Business Function
             10.2.4 By Organization Size
             10.2.5 By Industry
     10.3 Europe
             10.3.1 By Country
                        10.3.1.1 United Kingdom
                                     10.3.1.1.1 By Organization Size
                        10.3.1.2 Germany
                                     10.3.1.2.1 By Organization Size
                        10.3.1.3 France
                                     10.3.1.3.1 By Organization Size
                        10.3.1.4 Rest of Europe
                                     10.3.1.4.1 By Organization Size
             10.3.2 By Service Type
             10.3.3 By Business Function
             10.3.4 By Organization Size
             10.3.5 By Industry
     10.4 Asia Pacific
             10.4.1 By Country
                        10.4.1.1 Japan
                                     10.4.1.1.1 By Organization Size
                        10.4.1.2 China
                                     10.4.1.2.1 By Organization Size
                        10.4.1.3 Australia
                                     10.4.1.3.1 By Organization Size
                        10.4.1.4 India
                                     10.4.1.4.1 By Organization Size
                        10.4.1.5 Rest of Asia Pacific
                                     10.4.1.5.1 By Organization Size
             10.4.2 By Service Type
             10.4.3 By Business Function
             10.4.4 By Organization Size
             10.4.5 By Industry
     10.5 Latin America
             10.5.1 By Country
                        10.5.1.1 Brazil
                                     10.5.1.1.1 By Organization Size
                        10.5.1.2 Mexico
                                     10.5.1.2.1 By Organization Size
                        10.5.1.3 Rest of Latin America
                                     10.5.1.3.1 By Organization Size
             10.5.2 By Service Type
             10.5.3 By Business Function
             10.5.4 By Organization Size
             10.5.5 By Industry
     10.6 Middle East and Africa
             10.6.1 By Sub-Region
                        10.6.1.1 Middle East
                                     10.6.1.1.1 By Organization Size
                        10.6.1.2 Africa
                                     10.6.1.2.1 By Organization Size
             10.6.2 By Service Type
             10.6.3 By Business Function
             10.6.4 By Organization Size
             10.6.5 By Industry

11 Competitive Landscape (Page No. - 93)
     11.1 Overview
     11.2 Competitive Scenario
             11.2.1 New Product Launches and Product Upgradations
             11.2.2 Partnerships and Strategic Alliances
             11.2.3 Acquisitions
             11.2.4 Business Expansions
     11.3 Big Data and Data Engineering Services Market: Prominent Players

12 Company Profiles (Page No. - 98)
(Business Overview, Services Offered, Recent Developments, SWOT Analysis, MnM View)*
     12.1 Accenture
     12.2 Genpact
     12.3 Cognizant
     12.4 Infosys
     12.5 Capgemini
     12.6 NTT Data
     12.7 Mphasis
     12.8 L&T Technology Services
     12.9 Hexaware
     12.10 Happiest Minds
     12.11 Kpmg
     12.12 Ey
     12.13 Tiger Analytics
     12.14 Latentview Analytics
     12.15 Infostretch
     12.16 Vensai Technologies
     12.17 Course5
     12.18 Sigmoid
     12.19 Nous Infosystems
     12.20 Bodhtree
     12.21 Hidden Brains Infotech
     12.22 Brillio
     12.23 Bridgei2i
     12.24 Franz, Inc.
     12.25 Trianz

*Details on Business Overview, Services Offered, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. - 141)
     13.1 Discussion Guide
     13.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     13.3 Available Customization
     13.4 Related Reports
     13.5 Author Details

List of Tables (69 Tables)

Table 1 Big Data and Data Engineering Services Market Size and Growth Rate, 2016–2023 (USD Billion)
Table 2 Market Size By Service Type, 2016–2023 (USD Billion)
Table 3 Data Modeling: Market Size By Region, 2016–2023 (USD Million)
Table 4 Data Integration: Market Size By Region, 2016–2023 (USD Million)
Table 5 Data Quality: Market Size By Region, 2016–2023 (USD Million)
Table 6 Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 7 Big Data and Data Engineering Services Market Size, By Business Function, 2016–2023 (USD Billion)
Table 8 Marketing and Sales: Market Size By Region, 2016–2023 (USD Million)
Table 9 Finance: Market Size By Region, 2016–2023 (USD Million)
Table 10 Operations: Market Size By Region, 2016–2023 (USD Million)
Table 11 Human Resources and Legal: Market Size By Region, 2016–2023 (USD Million)
Table 12 Market Size By Organization Size, 2016–2023 (USD Million)
Table 13 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 14 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 15 Big Data and Data Engineering Services Market Size, By Industry, 2016–2023 (USD Million)
Table 16 Banking, Financial Services, and Insurance: Market Size By Region, 2016–2023 (USD Million)
Table 17 Healthcare and Life Sciences: Market Size By Region, 2016–2023 (USD Million)
Table 18 Retail and Ecommerce: Market Size By Region, 2016–2023 (USD Million)
Table 19 Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 20 Media and Telecom: Market Size By Region, 2016–2023 (USD Million)
Table 21 Government: Market Size By Region, 2016–2023 (USD Million)
Table 22 Others: Market Size By Region, 2016–2023 (USD Million)
Table 23 Big Data and Data Engineering Services Market Size, By Region, 2016–2023 (USD Million)
Table 24 North America: Market Size By Country, 2016–2023 (USD Million)
Table 25 United States: Market Size By Organization Size, 2016–2023 (USD Million)
Table 26 Canada: Market Size By Organization Size, 2016–2023 (USD Million)
Table 27 North America: Market Size By Service Type, 2016–2023 (USD Million)
Table 28 North America: Market Size By Business Function, 2016–2023 (USD Million)
Table 29 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 30 North America: Market Size By Industry, 2016–2023 (USD Million)
Table 31 Europe: Big Data and Data Engineering Services Market Size, By Country, 2016–2023 (USD Million)
Table 32 United Kingdom: Market Size By Organization Size, 2016–2023 (USD Million)
Table 33 Germany: Market Size By Organization Size, 2016–2023 (USD Million)
Table 34 France: Market Size By Organization Size, 2016–2023 (USD Million)
Table 35 Rest of Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 36 Europe: Market Size By Service Type, 2016–2023 (USD Million)
Table 37 Europe: Market Size By Business Function, 2016–2023 (USD Million)
Table 38 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 39 Europe: Market Size By Industry, 2016–2023 (USD Million)
Table 40 Asia Pacific: Big Data and Data Engineering Services Market Size, By Country, 2016–2023 (USD Million)
Table 41 Japan: Market Size By Organization Size, 2016–2023 (USD Million)
Table 42 China: Market Size By Organization Size, 2016–2023 (USD Million)
Table 43 Australia: Market Size By Organization Size, 2016–2023 (USD Million)
Table 44 India: Market Size By Organization Size, 2016–2023 (USD Million)
Table 45 Rest of Asia Pacific: Big Data and Data Engineering Services Market Size, By Organization Size, 2016–2023 (USD Million)
Table 46 Asia Pacific: Market Size By Service Type, 2016–2023 (USD Million)
Table 47 Asia Pacific: Market Size By Business Function, 2016–2023 (USD Million)
Table 48 Asia Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 49 Asia Pacific: Market Size By Industry, 2016–2023 (USD Million)
Table 50 Latin America: Market Size By Country, 2016–2023 (USD Million)
Table 51 Brazil: Big Data and Data Engineering Services Market Size, By Organization Size, 2016–2023 (USD Million)
Table 52 Mexico: Market Size By Organization Size, 2016–2023 (USD Million)
Table 53 Rest of Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 54 Latin America: Market Size By Service Type, 2016–2023 (USD Million)
Table 55 Latin America: Market Size By Business Function, 2016–2023 (USD Million)
Table 56 Latin America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 57 Latin America: Market Size By Industry, 2016–2023 (USD Million)
Table 58 Middle East and Africa: Market Size By Sub-Region, 2016–2023 (USD Million)
Table 59 Middle East: Market Size By Organization Size, 2016–2023 (USD Million)
Table 60 Africa: Big Data and Data Engineering Services Market Size, By Organization Size, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Market Size By Service Type, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Market Size By Business Function, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Market Size By Organization Size, 2016–2023 (USD Million)
Table 64 Middle East and Africa: Market Size By Industry, 2016–2023 (USD Million)
Table 65 New Product Launches and Product Upgradations, 2017
Table 66 Partnerships and Strategic Alliances, 2015–2018
Table 67 Acquisitions, 2016–2018
Table 68 Business Expansions, 2017–2018
Table 69 Key Players in the Big Data and Data Engineering Services Market

List of Figures (42 Figures)

Figure 1 Big Data and Data Engineering Services Market Segmentation
Figure 2 Market Regional Scope
Figure 3 Market Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Big Data and Data Engineering Services Market: Assumptions
Figure 9 Global Big Data and Data Engineering Services Market is Expected to Witness Significant Growth During the Forecast Period
Figure 10 Market Snapshot By Service Type (2018 vs 2023)
Figure 11 Market Snapshot By Business Function (2018 vs 2023)
Figure 12 Market Snapshot By Organization Size (2018 vs 2023)
Figure 13 Market Snapshot By Industry (2018 vs 2023)
Figure 14 Big Data and Data Engineering Services Market Growth is Driven By Rapid Growth in Data Volumes Across Connected Devices and Social Media
Figure 15 North America is Estimated to Have the Largest Market Share in 2018
Figure 16 Data Integration and North America are Estimated to Have the Largest Market Shares in 2018
Figure 17 Asia Pacific is Expected to Enter the Exponential Growth Phase During the Forecast Period
Figure 18 Big Data and Data Engineering Services Market: Drivers, Restraints, Opportunities, and Challenges
Figure 19 Data Integration Segment is Expected to Have the Largest Market Size During the Forecast Period
Figure 20 Marketing and Sales Business Function is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 21 Large Enterprises Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 22 Retail and Ecommerce Industry is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 23 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 24 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 25 North America: Market Snapshot
Figure 26 Asia Pacific: Market Snapshot
Figure 27 Key Developments By the Leading Players in the Big Data and Data Engineering Services Market, 2015–2018
Figure 28 Accenture: Company Snapshot
Figure 29 Accenture: SWOT Analysis
Figure 30 Genpact: Company Snapshot
Figure 31 Genpact: SWOT Analysis
Figure 32 Cognizant: Company Snapshot
Figure 33 Cognizant: SWOT Analysis
Figure 34 Infosys: Company Snapshot
Figure 35 Infosys: SWOT Analysis
Figure 36 Capgemini: Company Snapshot
Figure 37 Capgemini: SWOT Analysis
Figure 38 NTT Data: Company Snapshot
Figure 39 Mphasis: Company Snapshot
Figure 40 L&T Technology Services: Company Snapshot
Figure 41 Hexaware: Company Snapshot
Figure 42 Kpmg: Company Snapshot

The big data and data engineering services market is expected to grow from USD 34.47 billion in 2018 to USD 77.37 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 17.6% during the forecast period. Major growth drivers for the market include increasing volumes of unstructured data due to phenomenal growth of interconnected devices and social media, cost-effective services and cutting-edge expertise rendered by boutique data servicing companies, and an increasing need for complying with stringent regulations.

In the big data and data engineering services market by service type, the data integration services segment is expected to grow at the highest CAGR during the forecast period. The major growth driver is an increasing need for integrating data from disparate data sources across organizations.

The Banking, Financial Services, and Insurance (BFSI) industry is estimated to hold the largest size of the market in 2018. Major growth drivers are the growing need to simplify the workload related to security and the increasing dependence on workers, for monitoring every financial transaction. The retail and eCommerce industry is expected to grow at the highest CAGR during the forecast period, due to the increasing need to store and manage data from various customers and retailers across retail and eCommerce organizations.

Major business functions in the big data and data engineering services market include the marketing and sales, operations, finance, and Human Resources (HR). The adoption of big data and data engineering services for marketing and sales is expected to grow significantly, because of an increasing need to monitor and analyze the marketing and sales data and streamline the business process across industries.

The global big data and data engineering services market by region covers North America, Europe, Asia Pacific (APAC), Latin America, and Middle East and Africa (MEA). North America, followed by Europe, is expected to continue as the largest revenue-generating region for big data and data engineering services vendors, as the US and Canada have a high focus on innovations through Research and Development (R&D) and technologies. APAC is expected to be the fastest-growing region in the market, owing to the increasing adoption of big data technologies and various other government initiatives, such as smart cities across major APAC countries, including China and India.

Big Data and Data Engineering Services Market

The big data and data engineering services market faces challenges, such as data diversity and privacy and security concerns. Inability of service providers to provide real-time insights may limit the market growth.

Major vendors offering big data and data engineering services across the globe include Accenture (Ireland), Genpact (US), Cognizant (US), Infosys (India), Capgemini (France), NTT DATA (Japan), Mphasis (India), L&T Technology Services (India), Hexaware (India), Happiest Minds (India), KPMG (Netherlands), EY (UK), Tiger Analytics (US), LatentView Analytics (US), InfoStretch (US), Vensai Technologies (India), Course5 (US), Sigmoid (US), Nous Infosystems (India), Bodhtree (US), Hidden Brains InfoTech (India), Brillio (US), Franz Inc. (US), BRIDGEi2i (India), and Trianz (US). They have adopted many types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships, collaborations, agreements, and acquisitions, to expand their offerings in the big data and data engineering services market.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

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