
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 was valued at US$ 56900 million in 2023 and is anticipated to reach US$ 157720 million by 2030, witnessing a CAGR of 15.4% during the forecast period 2024-2030.
North American market for Big Data and Data Engineering Services is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Big Data and Data Engineering Services is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Big Data and Data Engineering Services in Marketing and Sales is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Big Data and Data Engineering Services include Accenture, Capgemini, Franz Inc, Hidden Brains InfoTech, L&T Technology Services, NTT DATA, Genpact, Cognizant and Infosys, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Big Data and Data Engineering Services, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data and Data Engineering Services.
Report Scope
The Big Data and Data Engineering Services market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data and Data Engineering Services market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data and Data Engineering Services companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
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
Segment by Type
Data Modeling
Data Integration
Data Quality
Analytics
Segment by Application
Marketing and Sales
Finance
Operations
Human Resources and Legal
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Big Data and Data Engineering Services companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data and Data Engineering Services Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Data Modeling
1.2.3 Data Integration
1.2.4 Data Quality
1.2.5 Analytics
1.3 Market by Application
1.3.1 Global Big Data and Data Engineering Services Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Marketing and Sales
1.3.3 Finance
1.3.4 Operations
1.3.5 Human Resources and Legal
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data and Data Engineering Services Market Perspective (2019-2030)
2.2 Big Data and Data Engineering Services Growth Trends by Region
2.2.1 Global Big Data and Data Engineering Services Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data and Data Engineering Services Historic Market Size by Region (2019-2024)
2.2.3 Big Data and Data Engineering Services Forecasted Market Size by Region (2025-2030)
2.3 Big Data and Data Engineering Services Market Dynamics
2.3.1 Big Data and Data Engineering Services Industry Trends
2.3.2 Big Data and Data Engineering Services Market Drivers
2.3.3 Big Data and Data Engineering Services Market Challenges
2.3.4 Big Data and Data Engineering Services Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data and Data Engineering Services Players by Revenue
3.1.1 Global Top Big Data and Data Engineering Services Players by Revenue (2019-2024)
3.1.2 Global Big Data and Data Engineering Services Revenue Market Share by Players (2019-2024)
3.2 Global Big Data and Data Engineering Services Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data and Data Engineering Services Revenue
3.4 Global Big Data and Data Engineering Services Market Concentration Ratio
3.4.1 Global Big Data and Data Engineering Services Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data and Data Engineering Services Revenue in 2023
3.5 Big Data and Data Engineering Services Key Players Head office and Area Served
3.6 Key Players Big Data and Data Engineering Services Product Solution and Service
3.7 Date of Enter into Big Data and Data Engineering Services Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data and Data Engineering Services Breakdown Data by Type
4.1 Global Big Data and Data Engineering Services Historic Market Size by Type (2019-2024)
4.2 Global Big Data and Data Engineering Services Forecasted Market Size by Type (2025-2030)
5 Big Data and Data Engineering Services Breakdown Data by Application
5.1 Global Big Data and Data Engineering Services Historic Market Size by Application (2019-2024)
5.2 Global Big Data and Data Engineering Services Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data and Data Engineering Services Market Size (2019-2030)
6.2 North America Big Data and Data Engineering Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data and Data Engineering Services Market Size by Country (2019-2024)
6.4 North America Big Data and Data Engineering Services Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data and Data Engineering Services Market Size (2019-2030)
7.2 Europe Big Data and Data Engineering Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data and Data Engineering Services Market Size by Country (2019-2024)
7.4 Europe Big Data and Data Engineering Services Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Big Data and Data Engineering Services Market Size (2019-2030)
8.2 Asia-Pacific Big Data and Data Engineering Services Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data and Data Engineering Services Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data and Data Engineering Services Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Big Data and Data Engineering Services Market Size (2019-2030)
9.2 Latin America Big Data and Data Engineering Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data and Data Engineering Services Market Size by Country (2019-2024)
9.4 Latin America Big Data and Data Engineering Services Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data and Data Engineering Services Market Size (2019-2030)
10.2 Middle East & Africa Big Data and Data Engineering Services Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data and Data Engineering Services Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data and Data Engineering Services Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Accenture
11.1.1 Accenture Company Detail
11.1.2 Accenture Business Overview
11.1.3 Accenture Big Data and Data Engineering Services Introduction
11.1.4 Accenture Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.1.5 Accenture Recent Development
11.2 Capgemini
11.2.1 Capgemini Company Detail
11.2.2 Capgemini Business Overview
11.2.3 Capgemini Big Data and Data Engineering Services Introduction
11.2.4 Capgemini Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.2.5 Capgemini Recent Development
11.3 Franz Inc
11.3.1 Franz Inc Company Detail
11.3.2 Franz Inc Business Overview
11.3.3 Franz Inc Big Data and Data Engineering Services Introduction
11.3.4 Franz Inc Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.3.5 Franz Inc Recent Development
11.4 Hidden Brains InfoTech
11.4.1 Hidden Brains InfoTech Company Detail
11.4.2 Hidden Brains InfoTech Business Overview
11.4.3 Hidden Brains InfoTech Big Data and Data Engineering Services Introduction
11.4.4 Hidden Brains InfoTech Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.4.5 Hidden Brains InfoTech Recent Development
11.5 L&T Technology Services
11.5.1 L&T Technology Services Company Detail
11.5.2 L&T Technology Services Business Overview
11.5.3 L&T Technology Services Big Data and Data Engineering Services Introduction
11.5.4 L&T Technology Services Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.5.5 L&T Technology Services Recent Development
11.6 NTT DATA
11.6.1 NTT DATA Company Detail
11.6.2 NTT DATA Business Overview
11.6.3 NTT DATA Big Data and Data Engineering Services Introduction
11.6.4 NTT DATA Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.6.5 NTT DATA Recent Development
11.7 Genpact
11.7.1 Genpact Company Detail
11.7.2 Genpact Business Overview
11.7.3 Genpact Big Data and Data Engineering Services Introduction
11.7.4 Genpact Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.7.5 Genpact Recent Development
11.8 Cognizant
11.8.1 Cognizant Company Detail
11.8.2 Cognizant Business Overview
11.8.3 Cognizant Big Data and Data Engineering Services Introduction
11.8.4 Cognizant Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.8.5 Cognizant Recent Development
11.9 Infosys
11.9.1 Infosys Company Detail
11.9.2 Infosys Business Overview
11.9.3 Infosys Big Data and Data Engineering Services Introduction
11.9.4 Infosys Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.9.5 Infosys Recent Development
11.10 Mphasis
11.10.1 Mphasis Company Detail
11.10.2 Mphasis Business Overview
11.10.3 Mphasis Big Data and Data Engineering Services Introduction
11.10.4 Mphasis Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.10.5 Mphasis Recent Development
11.11 Hexaware
11.11.1 Hexaware Company Detail
11.11.2 Hexaware Business Overview
11.11.3 Hexaware Big Data and Data Engineering Services Introduction
11.11.4 Hexaware Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.11.5 Hexaware Recent Development
11.12 Happiest Minds
11.12.1 Happiest Minds Company Detail
11.12.2 Happiest Minds Business Overview
11.12.3 Happiest Minds Big Data and Data Engineering Services Introduction
11.12.4 Happiest Minds Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.12.5 Happiest Minds Recent Development
11.13 KPMG
11.13.1 KPMG Company Detail
11.13.2 KPMG Business Overview
11.13.3 KPMG Big Data and Data Engineering Services Introduction
11.13.4 KPMG Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.13.5 KPMG Recent Development
11.14 EY
11.14.1 EY Company Detail
11.14.2 EY Business Overview
11.14.3 EY Big Data and Data Engineering Services Introduction
11.14.4 EY Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.14.5 EY Recent Development
11.15 Tiger Analytics
11.15.1 Tiger Analytics Company Detail
11.15.2 Tiger Analytics Business Overview
11.15.3 Tiger Analytics Big Data and Data Engineering Services Introduction
11.15.4 Tiger Analytics Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.15.5 Tiger Analytics Recent Development
11.16 LatentView Analytics
11.16.1 LatentView Analytics Company Detail
11.16.2 LatentView Analytics Business Overview
11.16.3 LatentView Analytics Big Data and Data Engineering Services Introduction
11.16.4 LatentView Analytics Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.16.5 LatentView Analytics Recent Development
11.17 InfoStretch
11.17.1 InfoStretch Company Detail
11.17.2 InfoStretch Business Overview
11.17.3 InfoStretch Big Data and Data Engineering Services Introduction
11.17.4 InfoStretch Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.17.5 InfoStretch Recent Development
11.18 Vensai Technologies
11.18.1 Vensai Technologies Company Detail
11.18.2 Vensai Technologies Business Overview
11.18.3 Vensai Technologies Big Data and Data Engineering Services Introduction
11.18.4 Vensai Technologies Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.18.5 Vensai Technologies Recent Development
11.19 Course5
11.19.1 Course5 Company Detail
11.19.2 Course5 Business Overview
11.19.3 Course5 Big Data and Data Engineering Services Introduction
11.19.4 Course5 Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.19.5 Course5 Recent Development
11.20 Sigmoid
11.20.1 Sigmoid Company Detail
11.20.2 Sigmoid Business Overview
11.20.3 Sigmoid Big Data and Data Engineering Services Introduction
11.20.4 Sigmoid Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.20.5 Sigmoid Recent Development
11.21 Nous Infosystems
11.21.1 Nous Infosystems Company Detail
11.21.2 Nous Infosystems Business Overview
11.21.3 Nous Infosystems Big Data and Data Engineering Services Introduction
11.21.4 Nous Infosystems Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.21.5 Nous Infosystems Recent Development
11.22 Bodhtree
11.22.1 Bodhtree Company Detail
11.22.2 Bodhtree Business Overview
11.22.3 Bodhtree Big Data and Data Engineering Services Introduction
11.22.4 Bodhtree Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.22.5 Bodhtree Recent Development
11.23 Brillio
11.23.1 Brillio Company Detail
11.23.2 Brillio Business Overview
11.23.3 Brillio Big Data and Data Engineering Services Introduction
11.23.4 Brillio Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.23.5 Brillio Recent Development
11.24 BRIDGEi2i
11.24.1 BRIDGEi2i Company Detail
11.24.2 BRIDGEi2i Business Overview
11.24.3 BRIDGEi2i Big Data and Data Engineering Services Introduction
11.24.4 BRIDGEi2i Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.24.5 BRIDGEi2i Recent Development
11.25 Trianz
11.25.1 Trianz Company Detail
11.25.2 Trianz Business Overview
11.25.3 Trianz Big Data and Data Engineering Services Introduction
11.25.4 Trianz Revenue in Big Data and Data Engineering Services Business (2019-2024)
11.25.5 Trianz Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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
Ìý
Ìý
*If Applicable.
