GVR Report cover Data Wrangling Market Size, Share & Trends Report

Data Wrangling Market Size, Share & Trends Analysis Report By Component (Solution, Services), By Deployment (Cloud, On-premises), By Enterprise Size (SMEs, Large Enterprises), By End User, and Segment Forecasts, 2025 - 2030

  • Report ID: GVR-4-68040-075-4
  • Number of Report Pages: 100
  • Format: PDF, Horizon Databook
  • Historical Range: 2017 - 2023
  • Forecast Period: 2025 - 2030 
  • Industry: Technology

Data Wrangling Market Size & Trends  

The global data wrangling market size was estimatedat USD 3.59 billion in 2024 and is projected to expand at a CAGR of 13.3% from 2025 to 2030. Data wrangling industry growth is anticipated to be significantly accelerated by increasing concerns about data loss and theft, rising to bring your own device (BYOD) trends, and workplace mobility. Furthermore, the volume and velocity of data, along with technological developments in artificial intelligence and machine learning, may further hinder the expansion of the market.

Data Wrangling Market Size by Component, 2020 - 2030 (USD Billion)

The proliferation of artificial intelligence has transformed digital architectures, compelling IT leaders to address critical questions regarding data relevance, use cases, operations, skills, processes, and tools. The success of AI investments hinges on the ability to manage data effectively, ensuring it is not disparate, purposeless, or lacking in relevant context. To harness AI's potential, organizations must establish strong relationships with their data, incorporating relevant context and controls. This involves leveraging tools that provide comprehensive visibility into IT architecture and data, facilitating the identification of pertinent data sources regardless of their location. Data federation becomes crucial, allowing access and analytics deployment across diverse storage locations, thereby offering flexibility in managing data on a scale and cost-effectively. Prioritizing data management is essential before entrusting AI with decision-making capabilities, as the future will see AI agents taking on more business-critical decisions. IT leaders must deepen their data relationships to realize AI's promises without compromising business objectives.

The amount of data being generated by businesses and individuals is growing exponentially. This data comes in many different formats and sources, making it challenging to manage and analyze. Data wrangling tools are designed to help organizations deal with this complexity, making it easier to clean, transform, and structure data for analysis. Moreover, Data analytics has become a critical tool for organizations looking to gain insights and make data-driven decisions. However, data must be properly managed and structured to use data analytics effectively. Data wrangling tools help businesses prepare their data for analysis, making it easier to gain insights and make decisions based on data.

Data wrangling tools can help businesses quickly prepare their data for real-time analysis, making it easier to monitor key metrics and detect trends as they happen. Using data wrangling tools, businesses can gain deeper insights into their operations and make faster, more informed decisions. In addition, data wrangling can help businesses identify anomalies and errors in real-time data, enabling them to quickly correct issues and avoid potential problems. This can be especially important for businesses operating in fast-moving industries, where real-time insights can be critical for success.

A recent Tealium study reveals that 81% of Customer Data Platform (CDP) users report high satisfaction with their platform's support for AI and machine learning projects, underscoring CDPs as critical enablers of AI innovation. The research indicates that organizations integrating CDPs with AI initiatives experience faster deployment and superior data quality, while non-CDP users often struggle with data wrangling and compliance challenges. Additionally, 90% of respondents identify real-time data management as crucial for overall business success, with CDP users reporting higher satisfaction in meeting customers at pivotal moments in their buying journeys. Furthermore, 91% of CDP users express confidence in handling changes to data privacy regulations, compared to 76% of non-CDP users, highlighting a significant advantage in managing compliance requirements.

Component Insights

In the Component, the solutions segment dominates the market with a revenue share of 73.32% in 2024. The data wrangling industry is experiencing strong growth and innovation, including end-to-end data wrangling Components that incorporate various tools and technologies for data integration, preparation, and analysis. Moreover, many data wrangling Components are now being integrated with cloud-based analytics platforms, such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables organizations to leverage the power of cloud computing to scale their data processing capabilities and gain deeper insights from their data.

The services segment is expected to grow with the fastest CAGR of 14.3% from 2025 to 2030. The services segment of the data wrangling industry is expected to continue to grow and evolve as organizations seek to optimize their data wrangling processes and gain a competitive advantage through improved data-driven decision-making. The services segment of the market includes professional services, such as consulting, implementation, and training, that help organizations optimize their data wrangling processes. With the increasing importance of data security and privacy, many data wrangling service providers are now focusing on ensuring the security and privacy of their client's data. This includes implementing the best practices for data encryption, access controls, and compliance with data privacy regulations.

Deployment Insights

The on-premises segment dominates the market with a significant revenue share in 2024. The on-premises segment of the market refers to the deployment of data wrangling tools and Components on local infrastructure rather than in the cloud. As data privacy and security concerns continue to grow, on-premises Components are likely to become more attractive to organizations that need to comply with strict regulations and data protection laws. Moreover, On-premises Components allow organizations to customize and control their data wrangling processes and workflows to meet their specific needs, which is especially important for organizations that deal with sensitive or complex data.

The cloud segment is experiencing strong growth during the forecasted period, driven by the increasing demand for cloud-based Components and their benefits, such as scalability, flexibility, and cost-effectiveness. Organizations are increasingly adopting multi-cloud and hybrid cloud strategies to take advantage of different cloud providers' benefits and avoid vendor lock-in. Data-wrangling Components supporting these strategies will likely become more popular. Moreover, Cloud-based data wrangling Components that leverage automation and AI technologies to streamline data preparation and accelerate data analysis are likely to become more popular. These components can help organizations reduce costs, improve productivity, and gain insights quickly.

Enterprise Size Insights

The large enterprises’ segment leads the market with a significant revenue share in 2024. The large enterprise segment of the market refers to the use of data wrangling tools and Components by large organizations with significant data volumes and complex data infrastructure. Moreover, large enterprises typically have complex data infrastructures with multiple data sources and systems. Data-wrangling Components can easily integrate with these systems and provide a unified view of the data. Moreover, large enterprises are increasingly adopting AI and machine learning technologies to automate data wrangling tasks and gain insights from their data.

The SME segment is projected to grow with the fastest CAGR from 2025 to 2030. The SMEs (Small and Medium-sized Enterprises) segment of the market refers to using data wrangling tools and Components by small and medium-sized organizations. SMEs may have smaller data volumes than large enterprises, but their data needs can grow quickly. Data wrangling Components can scale up or down based on demand and are affordable for SMEs with limited budgets are likely to become more popular. Moreover, SMEs may need more resources to process and analyze their data manually. Data wrangling Components that leverage automation and AI technologies to streamline data preparation and accelerate data analysis.

End User Insights

The BFSI segment dominates the market, with a revenue share of 24.3% in 2024. The BFSI industry handles sensitive data and is subject to strict regulations. Data-wrangling Components provide robust data security features and comply with data protection regulations. Moreover, BFSI companies require robust data governance and management frameworks to ensure data accuracy, reliability, and compliance. Data wrangling Components provide data governance and management features, such as data lineage, metadata management, and data cataloging.

Data Wrangling Market Share by End user, 2024 (%)

The IT and Telecom segment is expected to grow with a maximum CAGR of 13.8%. IT and Telecom companies often operate in complex environments with diverse data sources and systems. Data wrangling tools help integrate and consolidate data from different sources, such as CRM systems, billing systems, network logs, and customer support platforms. This integration gives organizations a holistic view of operations, improves data quality, and enhances decision-making processes. Moreover, Telecom companies face the challenge of optimizing network performance, ensuring high-quality service delivery, and reducing downtime. Data wrangling tools assist in processing network data to identify bottlenecks, analyze usage patterns, and predict network capacity requirements. By efficiently managing and analyzing network data, IT and Telecom companies can improve their infrastructure, enhance customer experience, and optimize operations.

Regional Insight

North America accounted to hold a dominant share in the market and accounted for a 45.9% share in 2024. This growth is driven by the increasing adoption of automated technologies and AI Components, which enhance data processing capabilities. The region's dominance in the market is attributed to a robust presence of major technology companies and a strong focus on data-driven decision-making across various industries, including finance, Retails, and e-commerce.

Data Wrangling Market Trends, by Region, 2025 - 2030

U.S. Data Wrangling Market Trends

The U.S. data wrangling market is experiencing significant growth, primarily driven by the increasing volume and complexity of data across industries. This growth is fueled by the widespread adoption of big data analytics and the need for businesses to transform raw data into actionable insights efficiently. Organizations are increasingly utilizing data wrangling tools to streamline their data preparation processes, enabling faster decision-making without heavy reliance on IT teams.

Europe Data Wrangling Market Trends

The Europe data wrangling market is witnessing steady growth. The European Union's General Data Protection Regulation (GDPR) has increased the importance of data governance and compliance, leading to a greater need for data wrangling Components. Moreover, the adoption of cloud computing and regulatory frameworks aimed at enhancing data security is expected to bolster the market's expansion. As businesses across various sectors, including Retails and finance, increasingly recognize the importance of data wrangling for effective decision-making, the technology is set to become integral to corporate strategies.

Asia Pacific Data Wrangling Market Trends

The Asia Pacific region is emerging as a major player in the data wrangling market, driven by the increasing adoption of digital technologies, rising internet penetration, and the emergence of big data analytics have contributed to the demand for data wrangling tools and services. Industries such as telecommunications, e-commerce, Retails, and finance are driving the market growth in this region. Moreover, The Asia-Pacific region has been at the forefront of digital transformation, with countries like China, Japan, India, and South Korea making significant advancements in technology adoption. This has led to a massive influx of data from various sources, creating a need for efficient data wrangling Components to extract insights and drive business value.

Key Data Wrangling Company Insights

The market is characterized by strong competition, with a few major worldwide competitors owning a significant market share. The major focus is developing new products and collaborating among the key players.

  • Altair Engineering Inc. is a major company in the data wrangling industry, focused on enhancing enterprise decision-making through innovative Components. The company specializes in integrating data science with AI-powered simulation, enabling organizations to quickly validate ideas and realize their potential benefits. Altair's offerings include advanced analytics, data visualization, and simulation tools that streamline data management processes. By leveraging these technologies, Altair empowers businesses to harness the full value of their data, facilitating informed decision-making and driving operational efficiency. Their vision emphasizes the importance of speed and accuracy in demonstrating the value of bold ideas, positioning them as a key player in transforming how enterprises operate.

  • Oracle Corporation is a significant player in the data wrangling industry, recognized for its comprehensive suite of database management Components and cloud services. The company offers the Oracle Autonomous Database, which is notable for its self-patching, self-tuning, and self-managing capabilities, revolutionizing how organizations handle data. Oracle's cloud infrastructure supports businesses in various sectors by providing integrated, automated Components that enhance data processing and analytics.

Key Data Wrangling Companies:

The following are the leading companies in the data wrangling market. These companies collectively hold the largest market share and dictate industry trends.

  • Altair Engineering Inc.
  • Alteryx, Inc.
  • Datameer, Inc.
  • Hitachi Vantara Corporation
  • International Business Machines Corporation
  • Impetus Technologies, Inc.
  • Oracle Corporation
  • Paxata, Inc.
  • SAS Institute Inc.
  • TIBCO Services Inc.
  • Teradata Corporation

Recent Developments

  • In May 2023, Informatica Inc. released Claire GPT, a new product that combines its proprietary augmented intelligence engine with generative AI capabilities. With such capabilities, the company's customers can manage their data using natural language. With the integration of Claire GPT, the number of datasets to be trained would increase, thus accelerating the growth of the data wrangling market.

  • In September 2024, Oracle announced the introduction of the Oracle Intelligent Data Lake, a key component of its Oracle Data Intelligence Platform, aimed at enhancing data integration and analytics capabilities. This new offer will support open data formats and provide a unified catalog, enabling organizations to manage both structured and unstructured data seamlessly. The Intelligent Data Lake is designed to facilitate real-time data processing and analytics, leveraging tools such as Apache Spark and Jupyter Notebook for improved developer experiences.

  • In September 2024, Systematica Investments recruited a team of six "feature engineers" to process and format new data sources for its trading strategies. These engineers integrate a new dataset each week, including unconventional sources like AI-extracted sentiment from executive and policymaker speeches. This initiative reflects a broader trend among quantitative hedge funds to leverage alternative data and advanced analytics to gain a competitive edge in the market. However, the increased reliance on AI and alternative data has led to higher operational costs, including rising salaries for specialized staff, amidst client pressure to reduce management fees.

Data Wrangling Market Report Scope

Report Attribute

Details

Market size value in 2025

USD 4.17 billion

Revenue forecast in 2030

USD 7.78 billion

Growth rate

CAGR of 13.3% from 2025 to 2030

Base year for estimation

2024

Historical data

2017 - 2023

Forecast period

2025 - 2030

Quantitative units

Market revenue in USD Million & CAGR from 2025 to 2030

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Segments covered

Component, deployment, enterprise size, end user, region

Regional scope

North America; Europe; Asia Pacific; Latin America; MEA

Country scope

U.S.; Canada; Mexico; UK; Germany; France; China; India; Japan; South Korea; Australia; Brazil; KSA; UAE; South Africa

Key companies profiled

Altair Engineering Inc.; Alteryx, Inc.; Datameer, Inc.; Hitachi Vantara Corporation; International Business Machines Corporation; Impetus Technologies, Inc.; Oracle Corporation; Paxata, Inc.; SAS Institute Inc.; TIBCO Services Inc.; Teradata Corporation

Customization scope

Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional, and segment scope.

Global Data Wrangling Market Report Segmentation

This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the data wrangling market on the basis of component, deployment, enterprise size, end user, and region:

  • Component Outlook (Revenue, USD Million; 2017 - 2030)

    • Solution

    • Services

  • Deployment Outlook (Revenue, USD Million; 2017 - 2030)

    • Cloud

    • On-premises

  • Enterprise Size Outlook (Revenue, USD Million; 2017 - 2030)

    • SMEs

    • Large Enterprises

  • End User Outlook (Revenue, USD Million; 2017 - 2030)

    • BFSI

    • Government

    • Manufacturing

    • Retails

    • Healthcare

    • IT & Telecom

    • Others (Media & Entertainment, Transportation)

  • Market Regional Outlook (Revenue, USD Million; 2017 - 2030)

    • North America

      • U.S.

      • Canada

      • Mexico

    • Europe

      • U.K.

      • Germany

      • France

    • Asia Pacific

      • China

      • India

      • Japan

      • South Korea

      • Australia

    • Latin America

      • Brazil

    • Middle East and Africa

      • KSA

      • UAE

      • South Africa

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