Big Data Engineering Services Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Big Data Engineering Services Market Report is Segmented by Type (Data Modelling, Data Quality, and Analytics), Business Function (Marketing and Sales, Finance, and HR), Organization Size (Small and Medium Enterprises and Large Enterprises), End-User Industry (BFSI, Manufacturing, and Government), and Geography (North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Big Data Engineering Services Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Big Data Engineering Services Market Size

Big Data Engineering Services Market Summary
Study Period 2019 - 2030
Market Size (2025) USD 91.54 Billion
Market Size (2030) USD 187.19 Billion
CAGR (2025 - 2030) 15.38 %
Fastest Growing Market Asia Pacific
Largest Market Asia Pacific
Market Concentration Medium

Major Players

Big Data Engineering Services Market Major Players

*Disclaimer: Major Players sorted in no particular order

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Big Data Engineering Services Market Analysis

The Big Data Engineering Services Market size is estimated at USD 91.54 billion in 2025, and is expected to reach USD 187.19 billion by 2030, at a CAGR of 15.38% during the forecast period (2025-2030).

Application programming interfaces are necessary for data integration and engineering. Data engineers use specialized tools, procedures, and equipment to prepare and analyze data for later analysis.

  • The growth of the big data engineering services market has been driven by several key factors. Firstly, the exponential increase in data generation across various industries, fueled by the proliferation of digital technologies, has created a pressing need for advanced data management and processing solutions. As organizations seek to harness the potential of their data, they increasingly turn to big data engineering services to optimize storage, processing, and analysis capabilities.
  • The financial industry is quickly changing and providing new consumer products and services. The banking industry is expected to significantly impact the data engineering market. For instance, the partnership between the National Australia Bank and Amazon Web Services has grown. According to the bank, 70% of its programs have now been migrated to the cloud, and it just became the first significant Australian bank to convert its online business banking platform.
  • The amount of data used in healthcare is growing quickly. Electronic health records are the most prevalent significant data source in the healthcare industry. Earlier, this information was stored in handwritten files. Medical researchers can now create prediction models thanks to the enormous data created by EHRs and powerful analytics techniques like machine learning.
  • Furthermore, advancements in machine learning and artificial intelligence have opened up new possibilities for extracting valuable insights from large datasets, prompting organizations to invest in data engineering services to support their AI initiatives. Additionally, regulatory requirements around data privacy and security have compelled companies to adopt more robust data management practices, leading to increased demand for specialized big data engineering expertise.
  • Not comprehending the needs of a specific user group is difficult for a data engineering project. The endless influx of data and dealing with value inconsistencies can quickly become overwhelming. Establishing a thorough data management strategy with a data governance plan is one potential response to this data engineering challenge.

Big Data Engineering Services Industry Overview

With new opportunities for differentiation and value-added services, the moderately fragmented big data engineering services market has the potential to change the competitive landscape. Moreover, many sectors are investing extensively in artificial intelligence, and there is a high demand for big data engineering technology and capabilities. In order to gain market share in the intelligence sector and expand the scope of their service offerings, well-known vendors, such as Accenture PLC and Capgemini SE, are making acquisitions and investments in new companies and technologies.

  • October 2023: Onix, a Google Cloud partner, acquired Datametica, an IP-driven consulting firm specializing in data migration, modernization, and BI/analytics. Datametica’s suite of proprietary products automates the migration and modernization of data warehouses, databases, ETL processes, and analytical workloads to Google Cloud, delivering faster results and guaranteed outcomes for customers. This strategic move enhances Onix’s data and AI capabilities, positioning them as a leader in IP-driven solutions for cloud transformation and data management.
  • February 2023: Alteryx introduced enhanced self-service and enterprise-grade features in its Alteryx Analytics Cloud Platform. The reimagined Alteryx Designer Cloud interface empowers modern data workers to profile, prepare, and pipeline their data interactively and collaboratively. Analysts and data engineers can now build interactive reports with ease, and Alteryx Auto Insights leverages machine learning to surface explanatory values and key drivers for better decision-making. The platform’s scalability and security ensure that organizations can make faster and more informed decisions while maintaining data governance standards.

Big Data Engineering Services Market Leaders

  1. Accenture PLC

  2. Genpact Inc.

  3. Cognizant Technology Solutions Corporation

  4. Infosys Limited

  5. Capgemini SE

  6. *Disclaimer: Major Players sorted in no particular order
Big Data Engineering Services Market Concentration
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Big Data Engineering Services Market News

  • August 2023: Five9, a CX Platform provider, finalized an agreement to acquire Aceyus, a key player in advanced data integration and analytics. Aceyus specializes in ingesting data from various sources, including CRM, WEM systems, ACDs, communication platforms, and digital channels. Their robust catalog of pre-built integrations enables seamless data migration from legacy systems to the Five9 platform. By maintaining consistent reports, data visualization, and dashboards, Aceyus ensures a smooth transition for businesses during migration and beyond. This strategic move enhances Five9’s ability to deliver personalized customer experiences by leveraging contextual data from disparate sources.
  • April 2023: Siemens Digital Industries Software and IBM introduced the expansion of their long-term partnership by collaborating to build a combined software solution by integrating their respective offerings for service lifecycle management, systems engineering, and asset management. The companies will build a combined software solution in order to help organizations optimize product lifecycles, make it simpler to enhance traceability across processes, prototype and test concepts much earlier in development, and adopt more sustainable product designs.

Big Data Engineering Services Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Volume of Unstructured Data due to the Phenomenal Growth of Interconnected Devices and Social Media
    • 4.2.2 Cost-effective Services and Cutting-edge Expertise Rendered by Data Servicing Companies
  • 4.3 Market Restraints
    • 4.3.1 Inability of Service Providers to Provide Real-time Insights
  • 4.4 Porter's Five Force Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry
  • 4.5 Assessment of the Impact of Macroeconomic Factors on the Market

5. EMERGING TECHNOLOGY TRENDS

6. MARKET SEGMENTATION

  • 6.1 By Type
    • 6.1.1 Data Modelling
    • 6.1.2 Data Integration
    • 6.1.3 Data Quality
    • 6.1.4 Analytics
  • 6.2 By Business Function
    • 6.2.1 Marketing and Sales
    • 6.2.2 Finance
    • 6.2.3 Operations
    • 6.2.4 Human Resource
  • 6.3 By Organization Size
    • 6.3.1 Small and Medium Enterprizes
    • 6.3.2 Large Enterprises
  • 6.4 By Deployement Type
    • 6.4.1 Cloud
    • 6.4.2 On-premise
  • 6.5 By End-user Industry
    • 6.5.1 BFSI
    • 6.5.2 Government
    • 6.5.3 Media and Telecommunication
    • 6.5.4 Retail
    • 6.5.5 Manufacturing
    • 6.5.6 Healthcare
    • 6.5.7 Other End-user Verticals
  • 6.6 Geography
    • 6.6.1 North America
    • 6.6.2 Europe
    • 6.6.3 Asia-Pacific
    • 6.6.4 Latin America
    • 6.6.5 Middle East & Africa

7. COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles*
    • 7.1.1 Accenture PLC
    • 7.1.2 Genpact Inc.
    • 7.1.3 Cognizant Technology Solutions Corporation
    • 7.1.4 Infosys Limited
    • 7.1.5 Capgemini SE
    • 7.1.6 NTT Data Inc.
    • 7.1.7 Mphasis Limited
    • 7.1.8 L&T Technology Services
    • 7.1.9 Hexaware Technologies Inc.
    • 7.1.10 KPMG LLP
    • 7.1.11 Ernst & Young LLP
    • 7.1.12 Latentview Analytics Corporation

8. INVESTMENT ANALYSIS

9. MARKET OPPORTUNITIES AND FUTURE TRENDS

**Qualitative Analysis
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Big Data Engineering Services Industry Segmentation

Big data is the name given to enormously massive data. Business organizations can employ data engineering to optimize data for usability, which is why it is crucial. In order to improve the software development life cycle, big data engineering might be useful in identifying the best techniques. Through the use of data integration solutions, companies learn more about various business sectors, but most significantly, data is collected in one location.

The big data engineering services market is segmented by type (data modeling, data quality, and analytics), business function (marketing and sales, operations, finance, and HR), organization size (small and medium enterprises and large enterprises), end-user industry (BFSI, government, media and telecommunication. retail, manufacturing, healthcare, and other end-user verticals), and geography. The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Type Data Modelling
Data Integration
Data Quality
Analytics
By Business Function Marketing and Sales
Finance
Operations
Human Resource
By Organization Size Small and Medium Enterprizes
Large Enterprises
By Deployement Type Cloud
On-premise
By End-user Industry BFSI
Government
Media and Telecommunication
Retail
Manufacturing
Healthcare
Other End-user Verticals
Geography North America
Europe
Asia-Pacific
Latin America
Middle East & Africa
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Big Data Engineering Services Market Research FAQs

How big is the Big Data Engineering Services Market?

The Big Data Engineering Services Market size is expected to reach USD 91.54 billion in 2025 and grow at a CAGR of 15.38% to reach USD 187.19 billion by 2030.

What is the current Big Data Engineering Services Market size?

In 2025, the Big Data Engineering Services Market size is expected to reach USD 91.54 billion.

Who are the key players in Big Data Engineering Services Market?

Accenture PLC, Genpact Inc., Cognizant Technology Solutions Corporation, Infosys Limited and Capgemini SE are the major companies operating in the Big Data Engineering Services Market.

Which is the fastest growing region in Big Data Engineering Services Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Big Data Engineering Services Market?

In 2025, the Asia Pacific accounts for the largest market share in Big Data Engineering Services Market.

What years does this Big Data Engineering Services Market cover, and what was the market size in 2024?

In 2024, the Big Data Engineering Services Market size was estimated at USD 77.46 billion. The report covers the Big Data Engineering Services Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Big Data Engineering Services Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Big Data Engineering Services Industry Report

Statistics for the 2025 Big Data Engineering Services market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Big Data Engineering Services analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.