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

Increasing volume of unstructured data is driving the big data and data engineering services market

This report expects the global big data and data engineering services market 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 factors for the market include the rapidly increasing volume of unstructured data due to phenomenal growth of interconnected devices and social media. However, inability of service providers to provide real-time insights could limit the market growth.

The marketing and sales business function to hold the largest market size by 2023

Organizations are using emerging technologies and solutions to gain more visibility into the complex business data. With the right solution, one can streamline the business processes with more efficiency. Big data and data engineering services allow companies to streamline their business processes for quick task resolution, without having to waste time on mundane tasks. It enables organizations to maintain all the data records and provides the required security and privacy to the data which is otherwise a major concern for organizations. Therefore, the marketing and sales business function is projected to have the largest market size by 2023.

Banking, Financial Services, and Insurance (BFSI) to hold the largest market size in 2018

In the big data and data engineering services market by industry vertical, the BFSI vertical is projected to hold the largest market size during the forecast period. As the volume and variety of data is increasing, the demand for maintaining and managing these records of the financial transactions in banks and other financial institutions also increases.

Asia Pacific (APAC) to grow at the highest CAGR and North America to hold the largest market size

APAC is expected to be the highest growing region in the big data and data engineering services market because of the increasing adoption of big data technologies, and government initiatives, such as smart cities in the APAC countries, including China and India. North America, followed by Europe, is expected to continue being the largest revenue-generating region for the big data and data engineering services vendors, for the next 5 years. This is mainly due to the presence of major developed economies, such as Canada and US, and the high focus on R&D and technological innovations across industry verticals.

In-depth interviews were conducted with the Chief Executive Officers (CEOs), marketing directors, other innovation and technology directors, and executives from various key organizations operating in the big data and data engineering services marketplace.

By Company – Tier 1-33%, Tier 2-26%, and Tier 3-41%
By Designation – C-Level-37%, Director Level-44%, and Others-19%
By Region – North America-36%, Europe-29%, APAC-25%, and RoW-10%

Research Coverage

The big data and data engineering services market revenue is primarily classified into revenues from solution and services. Solution’s revenue is associated with stand-alone solution offerings while services’ revenue is associated with managed services and professional services. The professional services comprise deployment and integration, support and training, and consulting services. The market is also segmented on the basis of business functions, types, organization sizes, deployment models, industries, and regions.

Reasons to Buy the Report

To get a comprehensive overview of the global big data and data engineering services market
To gain a wide range of information about the top players in the market space, their product portfolios, and the key strategies adopted by them
To gain insights of the major countries/regions in which the big data and data engineering services market is flourishing in various industries

1 Introduction

2 Research Methodology

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

4 Premium Insights

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

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

6.1 Introduction
6.2 Data Modeling
6.3 Data Integration
6.4 Data Quality
6.5 Analytics

7 Market By Business Function

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

8.1 Introduction
8.2 Large Enterprises
8.3 Small and Medium-Sized Enterprises

9 Market By Industry

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

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

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

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

13 Appendix

List of 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

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

Samples

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Executive Summary

Companies Mentioned

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

Table Information

Report Attribute	Details
No. of Pages	149
Published	September 2018
Forecast Period	2018 - 2023
Estimated Market Value ( USD ) in 2018	$ 34.47 billion
Forecasted Market Value ( USD ) by 2023	$ 77.37 billion
Compound Annual Growth Rate	17.6%
Regions Covered	Global
No. of Companies Mentioned	25

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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

Table of Contents

Samples

Executive Summary

Companies Mentioned

Table Information

Table of Contents

Samples

Executive Summary

Companies Mentioned

Table Information

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