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Big Data and Data Engineering Services-Global Market Insights and Sales Trends 2025
Synopsis
Big data is a term used to refer to the study and applications of data sets that are too complex for traditional data-processing application software to adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
The global Big Data and Data Engineering Services market size is expected to reach US$ 157720 million by 2029, growing at a CAGR of 15.4% from 2023 to 2029. The market is mainly driven by the significant applications of Big Data and Data Engineering Services in various end use industries. The expanding demands from the Marketing and Sales, Finance, Operations and Human Resources and Legal, are propelling Big Data and Data Engineering Services market. Data Modeling, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Data Integration segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Big Data and Data Engineering Services market, driven by demand from China, the second largest economy with some signs of stabilising, the Big Data and Data Engineering Services market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data and Data Engineering Services, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data and Data Engineering Services market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data and Data Engineering Services market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data and Data Engineering Services sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data and Data Engineering Services covered in this report include Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant and Infosys, etc.
The global Big Data and Data Engineering Services market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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
Global Big Data and Data Engineering Services market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data and Data Engineering Services market, Segment by Type:
Data Modeling
Data Integration
Data Quality
Analytics
Global Big Data and Data Engineering Services market, by Application
Marketing and Sales
Finance
Operations
Human Resources and Legal
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Big Data and Data Engineering Services companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Big data is a term used to refer to the study and applications of data sets that are too complex for traditional data-processing application software to adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.
The global Big Data and Data Engineering Services market size is expected to reach US$ 157720 million by 2029, growing at a CAGR of 15.4% from 2023 to 2029. The market is mainly driven by the significant applications of Big Data and Data Engineering Services in various end use industries. The expanding demands from the Marketing and Sales, Finance, Operations and Human Resources and Legal, are propelling Big Data and Data Engineering Services market. Data Modeling, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Data Integration segment is estimated at % CAGR for the next seven-year period.
Asia Pacific shows high growth potential for Big Data and Data Engineering Services market, driven by demand from China, the second largest economy with some signs of stabilising, the Big Data and Data Engineering Services market in China is forecast to reach US$ million by 2029, trailing a CAGR of % over the 2023-2029 period, while the U.S. market will reach US$ million by 2029, exhibiting a CAGR of % during the same period.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Big Data and Data Engineering Services, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Big Data and Data Engineering Services market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Big Data and Data Engineering Services market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Big Data and Data Engineering Services sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Big Data and Data Engineering Services covered in this report include Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant and Infosys, etc.
The global Big Data and Data Engineering Services market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
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
Global Big Data and Data Engineering Services market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Big Data and Data Engineering Services market, Segment by Type:
Data Modeling
Data Integration
Data Quality
Analytics
Global Big Data and Data Engineering Services market, by Application
Marketing and Sales
Finance
Operations
Human Resources and Legal
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Big Data and Data Engineering Services companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Big Data and Data Engineering Services
1.1 Big Data and Data Engineering Services Market Overview
1.1.1 Big Data and Data Engineering Services Product Scope
1.1.2 Big Data and Data Engineering Services Market Status and Outlook
1.2 Global Big Data and Data Engineering Services Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Big Data and Data Engineering Services Market Size by Region (2018-2029)
1.4 Global Big Data and Data Engineering Services Historic Market Size by Region (2018-2023)
1.5 Global Big Data and Data Engineering Services Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Big Data and Data Engineering Services Market Size (2018-2029)
1.6.1 North America Big Data and Data Engineering Services Market Size (2018-2029)
1.6.2 Europe Big Data and Data Engineering Services Market Size (2018-2029)
1.6.3 Asia-Pacific Big Data and Data Engineering Services Market Size (2018-2029)
1.6.4 Latin America Big Data and Data Engineering Services Market Size (2018-2029)
1.6.5 Middle East & Africa Big Data and Data Engineering Services Market Size (2018-2029)
2 Big Data and Data Engineering Services Market by Type
2.1 Introduction
2.1.1 Data Modeling
2.1.2 Data Integration
2.1.3 Data Quality
2.1.4 Analytics
2.2 Global Big Data and Data Engineering Services Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Big Data and Data Engineering Services Historic Market Size by Type (2018-2023)
2.2.2 Global Big Data and Data Engineering Services Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Big Data and Data Engineering Services Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Big Data and Data Engineering Services Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Big Data and Data Engineering Services Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Big Data and Data Engineering Services Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Big Data and Data Engineering Services Revenue Breakdown by Type (2018-2029)
3 Big Data and Data Engineering Services Market Overview by Application
3.1 Introduction
3.1.1 Marketing and Sales
3.1.2 Finance
3.1.3 Operations
3.1.4 Human Resources and Legal
3.2 Global Big Data and Data Engineering Services Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Big Data and Data Engineering Services Historic Market Size by Application (2018-2023)
3.2.2 Global Big Data and Data Engineering Services Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Big Data and Data Engineering Services Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Big Data and Data Engineering Services Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Big Data and Data Engineering Services Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Big Data and Data Engineering Services Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Big Data and Data Engineering Services Revenue Breakdown by Application (2018-2029)
4 Big Data and Data Engineering Services Competition Analysis by Players
4.1 Global Big Data and Data Engineering Services Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Big Data and Data Engineering Services as of 2022)
4.3 Date of Key Players Enter into Big Data and Data Engineering Services Market
4.4 Global Top Players Big Data and Data Engineering Services Headquarters and Area Served
4.5 Key Players Big Data and Data Engineering Services Product Solution and Service
4.6 Competitive Status
4.6.1 Big Data and Data Engineering Services Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Accenture
5.1.1 Accenture Profile
5.1.2 Accenture Main Business
5.1.3 Accenture Big Data and Data Engineering Services Products, Services and Solutions
5.1.4 Accenture Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.1.5 Accenture Recent Developments
5.2 Capgemini
5.2.1 Capgemini Profile
5.2.2 Capgemini Main Business
5.2.3 Capgemini Big Data and Data Engineering Services Products, Services and Solutions
5.2.4 Capgemini Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.2.5 Capgemini Recent Developments
5.3 Franz Inc
5.3.1 Franz Inc Profile
5.3.2 Franz Inc Main Business
5.3.3 Franz Inc Big Data and Data Engineering Services Products, Services and Solutions
5.3.4 Franz Inc Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.3.5 Hidden Brains InfoTech Recent Developments
5.4 Hidden Brains InfoTech
5.4.1 Hidden Brains InfoTech Profile
5.4.2 Hidden Brains InfoTech Main Business
5.4.3 Hidden Brains InfoTech Big Data and Data Engineering Services Products, Services and Solutions
5.4.4 Hidden Brains InfoTech Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.4.5 Hidden Brains InfoTech Recent Developments
5.5 L&T Technology Services
5.5.1 L&T Technology Services Profile
5.5.2 L&T Technology Services Main Business
5.5.3 L&T Technology Services Big Data and Data Engineering Services Products, Services and Solutions
5.5.4 L&T Technology Services Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.5.5 L&T Technology Services Recent Developments
5.6 NTT DATA
5.6.1 NTT DATA Profile
5.6.2 NTT DATA Main Business
5.6.3 NTT DATA Big Data and Data Engineering Services Products, Services and Solutions
5.6.4 NTT DATA Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.6.5 NTT DATA Recent Developments
5.7 Genpact
5.7.1 Genpact Profile
5.7.2 Genpact Main Business
5.7.3 Genpact Big Data and Data Engineering Services Products, Services and Solutions
5.7.4 Genpact Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.7.5 Genpact Recent Developments
5.8 Cognizant
5.8.1 Cognizant Profile
5.8.2 Cognizant Main Business
5.8.3 Cognizant Big Data and Data Engineering Services Products, Services and Solutions
5.8.4 Cognizant Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.8.5 Cognizant Recent Developments
5.9 Infosys
5.9.1 Infosys Profile
5.9.2 Infosys Main Business
5.9.3 Infosys Big Data and Data Engineering Services Products, Services and Solutions
5.9.4 Infosys Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.9.5 Infosys Recent Developments
5.10 Mphasis
5.10.1 Mphasis Profile
5.10.2 Mphasis Main Business
5.10.3 Mphasis Big Data and Data Engineering Services Products, Services and Solutions
5.10.4 Mphasis Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.10.5 Mphasis Recent Developments
5.11 Hexaware
5.11.1 Hexaware Profile
5.11.2 Hexaware Main Business
5.11.3 Hexaware Big Data and Data Engineering Services Products, Services and Solutions
5.11.4 Hexaware Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.11.5 Hexaware Recent Developments
5.12 Happiest Minds
5.12.1 Happiest Minds Profile
5.12.2 Happiest Minds Main Business
5.12.3 Happiest Minds Big Data and Data Engineering Services Products, Services and Solutions
5.12.4 Happiest Minds Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.12.5 Happiest Minds Recent Developments
5.13 KPMG
5.13.1 KPMG Profile
5.13.2 KPMG Main Business
5.13.3 KPMG Big Data and Data Engineering Services Products, Services and Solutions
5.13.4 KPMG Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.13.5 KPMG Recent Developments
5.14 EY
5.14.1 EY Profile
5.14.2 EY Main Business
5.14.3 EY Big Data and Data Engineering Services Products, Services and Solutions
5.14.4 EY Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.14.5 EY Recent Developments
5.15 Tiger Analytics
5.15.1 Tiger Analytics Profile
5.15.2 Tiger Analytics Main Business
5.15.3 Tiger Analytics Big Data and Data Engineering Services Products, Services and Solutions
5.15.4 Tiger Analytics Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.15.5 Tiger Analytics Recent Developments
5.16 LatentView Analytics
5.16.1 LatentView Analytics Profile
5.16.2 LatentView Analytics Main Business
5.16.3 LatentView Analytics Big Data and Data Engineering Services Products, Services and Solutions
5.16.4 LatentView Analytics Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.16.5 LatentView Analytics Recent Developments
5.17 InfoStretch
5.17.1 InfoStretch Profile
5.17.2 InfoStretch Main Business
5.17.3 InfoStretch Big Data and Data Engineering Services Products, Services and Solutions
5.17.4 InfoStretch Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.17.5 InfoStretch Recent Developments
5.18 Vensai Technologies
5.18.1 Vensai Technologies Profile
5.18.2 Vensai Technologies Main Business
5.18.3 Vensai Technologies Big Data and Data Engineering Services Products, Services and Solutions
5.18.4 Vensai Technologies Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.18.5 Vensai Technologies Recent Developments
5.19 Course5
5.19.1 Course5 Profile
5.19.2 Course5 Main Business
5.19.3 Course5 Big Data and Data Engineering Services Products, Services and Solutions
5.19.4 Course5 Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.19.5 Course5 Recent Developments
5.20 Sigmoid
5.20.1 Sigmoid Profile
5.20.2 Sigmoid Main Business
5.20.3 Sigmoid Big Data and Data Engineering Services Products, Services and Solutions
5.20.4 Sigmoid Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.20.5 Sigmoid Recent Developments
5.21 Nous Infosystems
5.21.1 Nous Infosystems Profile
5.21.2 Nous Infosystems Main Business
5.21.3 Nous Infosystems Big Data and Data Engineering Services Products, Services and Solutions
5.21.4 Nous Infosystems Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.21.5 Nous Infosystems Recent Developments
5.22 Bodhtree
5.22.1 Bodhtree Profile
5.22.2 Bodhtree Main Business
5.22.3 Bodhtree Big Data and Data Engineering Services Products, Services and Solutions
5.22.4 Bodhtree Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.22.5 Bodhtree Recent Developments
5.23 Brillio
5.23.1 Brillio Profile
5.23.2 Brillio Main Business
5.23.3 Brillio Big Data and Data Engineering Services Products, Services and Solutions
5.23.4 Brillio Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.23.5 Brillio Recent Developments
5.24 BRIDGEi2i
5.24.1 BRIDGEi2i Profile
5.24.2 BRIDGEi2i Main Business
5.24.3 BRIDGEi2i Big Data and Data Engineering Services Products, Services and Solutions
5.24.4 BRIDGEi2i Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.24.5 BRIDGEi2i Recent Developments
5.25 Trianz
5.25.1 Trianz Profile
5.25.2 Trianz Main Business
5.25.3 Trianz Big Data and Data Engineering Services Products, Services and Solutions
5.25.4 Trianz Big Data and Data Engineering Services Revenue (US$ Million) & (2018-2023)
5.25.5 Trianz Recent Developments
6 North America
6.1 North America Big Data and Data Engineering Services Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Big Data and Data Engineering Services Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Big Data and Data Engineering Services Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Big Data and Data Engineering Services Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Big Data and Data Engineering Services Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Big Data and Data Engineering Services Market Dynamics
11.1 Big Data and Data Engineering Services Industry Trends
11.2 Big Data and Data Engineering Services Market Drivers
11.3 Big Data and Data Engineering Services Market Challenges
11.4 Big Data and Data Engineering Services Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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