Big Data and Data Engineering Services Market Growth Drivers, Trends, and Forecast by 2031

Historic Data: 2021-2023   |   Base Year: 2024   |   Forecast Period: 2025-2031

Big Data and Data Engineering Services Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage : By The report is segmentedService Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), Organization Size (Small and Medium-sized Enterprises (SMEs) and Large Enterprises), Industry (BFSI, Retail and eCommerce, Healthcare and Life Sciences, Manufacturing, Government, Media and telecom, and Others)

  • Report Date : Oct 2025
  • Report Code : TIPRE00039749
  • Category : Technology, Media and Telecommunications
  • Status : Upcoming
  • Available Report Formats : pdf-format excel-format
  • No. of Pages : 150
Page Updated: Jan 2025

AI overview of Big Data and Data Engineering Services Market


The Big Data and Data Engineering Services Market is poised for significant growth, with a projected market size reaching US$ XX million by 2031, reflecting a robust CAGR of 17.6% from 2025 to 2031. This market, valued at US$ XX million in 2024, is driven by the increasing data proliferation and the rising adoption of cloud computing, which enhance decision-making capabilities across various industries. Key segments include service types such as data modeling and analytics, and business functions like marketing and operations. Notably, trends such as the adoption of advanced analytics and the rise of data lakes are shaping the future landscape of this market. As organizations seek industry-specific solutions and expand managed services, the Big Data and Data Engineering Services Market is set to thrive.


The Big Data and Data Engineering Services Market is expected to register a CAGR of 17.6% from 2025 to 2031, with a market size expanding from US$ XX million in 2024 to US$ XX Million by 2031.

The report is segmentedby Service Type (Data Modeling, Data Integration, Data Quality, Analytics), Business Function (Marketing and Sales, Operations, Finance), By Organization Size (Small and Medium-sized Enterprises (SMEs) and Large Enterprises), By Industry (BFSI, Retail and eCommerce, Healthcare and Life Sciences, Manufacturing, Government, Media and telecom, and Others). The global analysis is further broken-down at regional level and major countries. The Report Offers the Value in USD for the above analysis and segments.

Purpose of the Report

The report Big Data and Data Engineering Services Market by The Insight Partners aims to describe the present landscape and future growth, top driving factors, challenges, and opportunities. This will provide insights to various business stakeholders, such as:

  • Technology Providers/Manufacturers: To understand the evolving market dynamics and know the potential growth opportunities, enabling them to make informed strategic decisions.
  • Investors: To conduct a comprehensive trend analysis regarding the market growth rate, market financial projections, and opportunities that exist across the value chain.
  • Regulatory bodies: To regulate policies and police activities in the market with the aim of minimizing abuse, preserving investor trust and confidence, and upholding the integrity and stability of the market.

Big Data and Data Engineering Services Market Segmentation

Service Type

  • Data Modeling
  • Data Integration
  • Data Quality
  • Analytics

Business Function

  • Marketing and Sales
  • Operations
  • Finance

Organization Size

  • Small and Medium-sized Enterprises
  • Large Enterprises

Industry

  • BFSI
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government
  • Media and telecom

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Big Data and Data Engineering Services Market: Strategic Insights

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Big Data and Data Engineering Services Market Growth Drivers

  • Data Proliferation: The exponential growth of data generated by businesses, social media, IoT devices, and mobile applications is a primary driver of the Big Data and Data Engineering Services market. Organizations are increasingly challenged to store, manage, and analyze vast amounts of unstructured and structured data. This necessitates sophisticated data engineering services to ensure efficient data processing, integration, and transformation, enabling businesses to derive actionable insights and maintain a competitive edge.
  • Increasing Adoption of Cloud Computing: The shift towards cloud computing has significantly impacted the demand for Big Data services. As organizations migrate to cloud-based platforms, they seek scalable and flexible solutions for data storage, processing, and analytics. Cloud providers are integrating Big Data services into their offerings, facilitating easier access to advanced data engineering tools and enabling organizations to leverage the power of big data without extensive on-premises infrastructure.
  • Enhanced Decision-Making Capabilities: Organizations are increasingly relying on data-driven decision-making to improve operational efficiency and strategic planning. The demand for real-time analytics and insights has driven investments in Big Data and data engineering services. Companies recognize that harnessing data effectively can lead to better customer understanding, improved product development, and optimized resource allocation, creating a strong push towards sophisticated data solutions.

Big Data and Data Engineering Services Market Future Trends

  • Adoption of Advanced Analytics and AI: The integration of advanced analytics and artificial intelligence (AI) within Big Data services is a significant trend. Organizations are leveraging machine learning, natural language processing, and predictive analytics to gain deeper insights from their data. This trend enhances data engineering efforts by enabling automated data processing, anomaly detection, and trend forecasting, leading to more informed business decisions.
  • Rise of Data Lakes: The emergence of data lakes as a storage solution is reshaping how organizations manage and analyze data. Unlike traditional data warehouses, data lakes allow for the storage of vast amounts of raw data in its native format. This trend is driving the demand for data engineering services that facilitate data ingestion, processing, and transformation, enabling organizations to derive insights from diverse data sources more efficiently.

Big Data and Data Engineering Services Market Opportunities

  • Industry-Specific Solutions: There is a growing opportunity for Big Data and data engineering service providers to develop industry-specific solutions tailored to the unique needs of various sectors, such as healthcare, finance, and retail. By offering specialized tools and services that address specific regulatory requirements, data types, and analytics needs, providers can differentiate themselves and capture niche markets.
  • Expansion of Managed Services: The demand for managed Big Data services is on the rise, as organizations seek to offload the complexities of data management and analytics to external experts. Providers can capitalize on this opportunity by offering comprehensive managed services that encompass data storage, processing, governance, and analytics, allowing organizations to focus on their core competencies while ensuring effective data utilization.

Big Data and Data Engineering Services Market Regional Insights

The regional trends and factors influencing the Big Data and Data Engineering Services Market throughout the forecast period have been thoroughly explained by the analysts at The Insight Partners. This section also discusses Big Data and Data Engineering Services Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.

Big Data and Data Engineering Services Market Report Scope

Report Attribute Details
Market size in 2024 US$ XX million
Market Size by 2031 US$ XX Million
Global CAGR (2025 - 2031) 17.6%
Historical Data 2021-2023
Forecast period 2025-2031
Segments Covered By Service Type
  • Data Modeling
  • Data Integration
  • Data Quality
  • Analytics
By Business Function
  • Marketing and Sales
  • Operations
  • Finance
By Organization Size
  • Small and Medium-sized Enterprises
  • Large Enterprises
By Industry
  • BFSI
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Manufacturing
  • Government
  • Media and telecom
Regions and Countries Covered North America
  • US
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Russia
  • Italy
  • Rest of Europe
Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
South and Central America
  • Brazil
  • Argentina
  • Rest of South and Central America
Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East and Africa
Market leaders and key company profiles
  • Accenture
  • Genpact
  • Cognizant
  • Infosys
  • Capgemini
  • NTT DATA
  • Mphasis
  • L&T Technology Services
  • Hexaware

  • Big Data and Data Engineering Services Market Players Density: Understanding Its Impact on Business Dynamics

    The Big Data and Data Engineering Services Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.


    big-data-and-data-engineering-services-market-cagr

    • Get the Big Data and Data Engineering Services Market top key players overview

    Key Selling Points

    • Comprehensive Coverage: The report comprehensively covers the analysis of products, services, types, and end users of the Big Data and Data Engineering Services Market, providing a holistic landscape.
    • Expert Analysis: The report is compiled based on the in-depth understanding of industry experts and analysts.
    • Up-to-date Information: The report assures business relevance due to its coverage of recent information and data trends.
    • Customization Options: This report can be customized to cater to specific client requirements and suit the business strategies aptly.

    The research report on the Big Data and Data Engineering Services Market can, therefore, help spearhead the trail of decoding and understanding the industry scenario and growth prospects. Although there can be a few valid concerns, the overall benefits of this report tend to outweigh the disadvantages.


    Frequently Asked Questions

    1
    Which are the leading players operating in the Big Data and Data Engineering Services Market
    The leading players operating in the Big Data and Data Engineering Services Market include Accenture, Genpact, Cognizant, Infosys, Capgemini, NTT Data, Mphasis, L&T Technology Services, Hexaware, and Happiest Minds.
    2
    What are the deliverable formats of the report?
    The report can be delivered in PDF/PPT format; we can also share excel dataset based on the request.
    3
    What are the growth opportunities impacting the global Big Data and Data Engineering Services Market?
    The major factors driving the Big Data and Data Engineering Services Market are:Growing Demand for Light-Weight Components#Technological advancements in forging processes
    4
    What is the future trend of the Big Data and Data Engineering Services Market?
    Sustainability and Eco-Friendly Manufacturing is the key future trend of the Big Data and Data Engineering Services Market
    5
    What is the expected CAGR of the Big Data and Data Engineering Services Market?
    The Big Data and Data Engineering Services Market is estimated to witness a CAGR of 17.6% from 2024 to 2031
    6
    Ankita Mittal
    Manager,
    Market Research & Consulting

    Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

    Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.

    • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
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