Data Preparation Market Size Analysis Report - Market Share, Forecast Trends and Outlook (2025-2034)

The global data preparation market was valued at around USD 6.20 Billion in 2024. Businesses are increasingly adopting AI-driven tools for automating data cleaning, transformation, and integration tasks, which significantly reduces manual effort and errors. The industry is expected to grow at a CAGR of 18.10% during the forecast period of 2025-2034 to attain a value of USD 32.73 Billion by 2034, owing to the integration of AI and automation into data preparation processes.

Data Preparation Market Overview

Data preparation enhances data quality through thorough cleaning and validation, which facilitates informed, data-driven decisions. It enhances efficiency by automating repetitive tasks, saving time and resources, and offering scalability, which allows organisations to effectively handle large data volumes as they grow, thereby fueling the growth of the data preparation market. In July 2024, Tableau introduced a generative AI assistant, updating its platform to allow customers to use natural language for data preparation and analysis.

As per data preparation market analysis, this method lowers costs linked to manual processing and errors, offers real-time access to up-to-date information, and facilitates seamless integration from multiple sources. This empowers non-technical users to prepare data easily and foster improved collaboration within a centralised environment, enhancing teamwork and responsiveness. In February 2024, Spatial Corp, a top provider of software development toolkits for design, manufacturing, and engineering solutions and a subsidiary of Dassault Systèmes, announced the alpha release of Data Prep. This new add-on for 3D InterOp prepares imported CAD data for downstream workflows by leveraging Spatial’s geometry expertise and utilising the power of 3D modelers.

Data Preparation Market Growth

The growing demand of the data preparation market will enhance data governance, leading to improved management practices. It prepares data for advanced analytics, such as AI, and provides customisable tools to address specific requirements. Additionally, it improves visualisation for better comprehension and enriches datasets by incorporating information from external sources, facilitating informed decision-making. In June 2024, Infoworks.io, a leader in data engineering automation, announced the launch of Infoworks AI. This innovative solution targets the critical challenges faced by data professionals by utilising advanced AI technology and Infoworks' automation capabilities to streamline data exploration, preparation, and integration for analytics and AI applications.

This approach accelerates insights by swiftly transforming raw data, reducing risks from errors and inconsistencies. It deepens customer understanding through comprehensive analysis, offers competitive advantages by generating strategic insights, and fosters innovation by providing researchers easy access to well-structured data, supporting informed decision-making. In June 2024, Prophecy, known as the data copilot company, introduced Prophecy Data Transformation Copilot for Databricks the industry's first copilot designed to expedite the preparation of raw data for analytics and AI applications. By leveraging generative AI, this tool accelerates the development, deployment, and monitoring of enterprise-grade data pipelines native to the Databricks Data Intelligence Platform, ensuring the timely delivery of clean and reliable data for analytics.

Key Trends and Developments

Integration of AI and automation into data preparation processes, move towards cloud-based data preparation solutions, and focus on skills development and data literacy are increasing the data preparation market value.

October 2024

Vectorize AI Inc., a data integration startup, revealed its software's potential to significantly impact artificial intelligence following a USD 3.6 million seed funding round led by True Ventures. This funding coincided with the introduction of a platform aimed at converting unstructured data into a vector database for retrieval-augmented generation.

September 2024

Zoho DataPrep 2.0, the AI-powered data management platform was launched with enhanced integrations for seamless data transfer. The updated list of data connectors included Salesforce, Zoho Bigin, Zoho Forms, Zoho Creator, SharePoint, and others, simplifying data management by linking various business applications and storage solutions.

April 2024

Talend introduced enhancements to its Data Fabric platform, focusing on improved data preparation functionalities. The updates included advanced integration features and automation tools specifically designed to meet the needs of European businesses.

January 2024

SAP launched updates to its Data Intelligence solution, highlighting new data preparation and integration capabilities. These enhancements aim to improve data management and compliance for European customers, ensuring a more streamlined approach to handling data.

Increased Adoption of AI and Automation

The integration of AI and automation into data preparation processes is influencing the data preparation market dynamics and trends. Businesses are increasingly adopting AI-driven tools for automating data cleaning, transformation, and integration tasks, which significantly reduces manual effort and errors. This shift improves efficiency, accelerates insights, and enables data teams to concentrate on more strategic initiatives. As organisations aim to extract value from large datasets, the demand for automated solutions that optimise data workflows is projected to rise, fostering further innovation in AI-powered data preparation technologies. In October 2024, Snorkel AI introduced new features in Snorkel Flow, its AI data development platform, designed to expedite the specialisation of AI/ML models within enterprises. These features include GenAI evaluation tools for use-case-specific benchmarks, streamlined workflows for fine-tuning large language models (LLMs), and enhanced named entity recognition (NER) for PDFs, all of which reinforce Snorkel Flow’s unique capability to support the entire AI data development lifecycle.

Expansion of Cloud-Based Data Preparation Solutions

The move towards cloud-based data preparation solutions is gaining momentum as organisations look for scalable and flexible options for data management. Cloud platforms enhance accessibility, enabling teams to collaborate on data projects from any location, which is particularly attractive for businesses with remote or distributed workforces. Additionally, these cloud solutions often integrate smoothly with other cloud services, allowing organisations to create comprehensive data ecosystems. As the demand for real-time insights and scalable storage solutions grows, the adoption of cloud-based data preparation tools is expected to rise significantly, driving the overall data preparation demand growth. In November 2022, Qlik introduced a new cloud-based data integration platform that combines data preparation and cataloguing capabilities in one solution, allowing organisations to prepare their data in real-time for analysis.

Emphasising Skills Development and Data Literacy

As the data preparation landscape evolves, organisations are prioritising skills development and improving data literacy among their employees. This highlights the need for not just tools, but also a workforce knowledgeable in data principles and practices. Companies are investing in training programs and resources to empower their teams, enabling effective use of data preparation tools, thereby supporting the growth of the data preparation industry. By promoting a culture of data literacy, organisations seek to enhance insights and decision-making, thereby maximising the potential of their data assets. In August 2024, Alteryx, a leader in AI-driven enterprise analytics, announced a partnership with Udacity, now part of Accenture, to launch a course on the fundamentals of data preparation using Alteryx Designer. This collaboration aims to improve data and AI literacy for millions of learners worldwide.

Increased Data Volume and Complexity

The exponential growth in data volume and complexity is a key driver for the demand for advanced data preparation tools. Organisations today are dealing with data from various sources, including social media, IoT devices, transactional systems, and customer interactions, leading to an overwhelming volume of unstructured and structured data. This diverse and massive volume of data can be difficult to manage without the right tools for processing, cleansing, and structuring. Data preparation is crucial because it helps businesses turn raw data into actionable insights. However, as the data becomes more complex - with a variety of formats, sources, and inconsistent quality - manual data handling is no longer feasible. Advanced data preparation platforms, leveraging automation and AI capabilities, help organisations to clean, transform, and structure data at scale. These tools enable businesses to ensure data quality, improve analysis accuracy, and speed up decision-making processes.

Data Preparation Market Trends

The growing need for real-time data processing is driving the demand for advanced data preparation tools. According to IDC, by 2025, 75% of data will be processed at the edge, and real-time analytics will become essential for businesses to make timely, data-driven decisions. Industries such as e-commerce, finance, and healthcare are increasingly relying on real-time insights to optimise operations, detect fraud, and enhance customer experiences. Data preparation tools that support real-time processing help organisations streamline workflows, ensure data quality, and enable faster decision-making. This trend is crucial as companies seek to remain competitive in fast-paced, data-driven environments.

Market Restraints

The global data preparation market faces several key restraints. Stringent data privacy regulations like GDPR complicate compliance, increasing costs and slowing processes. Complexity in integrating diverse data sources leads to accuracy issues, while a shortage of skilled professionals limits tool implementation. High initial costs deter smaller organisations, and cultural resistance hinders adoption.

Data quality problems can result in erroneous insights, and the rapidly evolving technology landscape challenges organisations to keep up. Security concerns around data breaches discourage full adoption, while a lack of standardisation complicates interoperability. Additionally, limited awareness of modern tools prevents organisations from optimising their data preparation efforts effectively.

Data Preparation Industry Segmentation

The report titled “Data Preparation Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:

Market Breakup by Platform

• Self-Service
• Data Integration

Market Breakup by Deployment

• On-premises
• Cloud

Market Breakup by Function Type

• Data Collection
• Data Cataloging
• Data Quality
• Data Governance
• Data Ingestion
• Data Curation

Market Breakup by Industry Vertical

• IT and Telecom
• Retail and E-commerce
• BFSI
• Government
• Healthcare
• Energy and Utilities
• Transportation
• Manufacturing
• Others

Market Breakup by Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

Market Analysis by Platform

Self-service tools enable non-technical users to independently access and analyse data, promoting autonomy and faster decision-making. They improve efficiency by allowing users to prepare and manipulate data without delays, facilitating agile responses to business demands. By lessening dependence on specialised teams, organisations can save costs. Moreover, intuitive interfaces enhance data literacy, equipping employees with vital skills that drive growth of the data preparation market. In April 2024, Google Cloud integrated its Gemini model with data and analytics tools, unveiling connections between its large language model, BigQuery, Looker, and its databases to help customers develop GenAI models and applications.

Data integration merges information from multiple sources, offering a holistic view for improved analysis and decision-making. It enhances data quality by detecting and rectifying inconsistencies, resulting in more trustworthy datasets. The data preparation demand is thriving as automated processes reduce manual tasks, decreasing errors and saving time. A cohesive data environment promotes teamwork among departments, while scalable systems support growth, ensuring effective data preparation as organisations expand. In May 2024, Nuqleous, a leader in big data and retail analytics, announced the launch of DataCanvas, a robust new feature that enhances its flagship product, Spotlight. DataCanvas introduces automated, template-driven data management, significantly boosting efficiency and accuracy in report generation and sharing.

Market Analysis by Function Type

High data quality greatly improves accuracy, ensuring that information is dependable for insightful analysis and informed decision-making. By consistently providing quality data, organisations foster greater trust among stakeholders, bolstering their credibility. Accurate data also boosts efficiency, minimising the time spent on corrections and discrepancies. Additionally, maintaining data quality aids in regulatory compliance and enhances performance, enabling effective analytics and strategic initiatives that affects the growth of data preparation industry. In May 2024, Tonic.ai, a San Francisco-based company specialising in data synthesis solutions, launched Tonic Textual, the world’s first secure data lakehouse for LLMs. This platform allows AI developers to utilise unstructured data for retrieval-augmented generation and LLM fine-tuning, overcoming integration and privacy issues that have impeded enterprise AI adoption.

Data governance sets clear policies and standards for managing data, ensuring consistency within organisations. It strengthens data security by safeguarding sensitive information and ensuring compliance with regulations. Effective governance encourages a culture of data sharing while promoting responsible use. This, in turn, boosts the data preparation market development. A strong governance framework increases accountability by clearly defining roles and responsibilities, which ultimately enhances strategic decision-making and operational efficiency. In March 2024, Collibra announced enhancements to its data governance platform, focusing on better data lineage and compliance features to assist organisations in managing their data more effectively.

Market Analysis by Industry Vertical

Data preparation improves customer insights by allowing retailers to analyse behaviours and preferences, resulting in personalised marketing and enhanced experiences in retail and e-commerce. It also optimises inventory management, minimising overstock and stockouts for better supply chain efficiency. Moreover, accurate data aids in better sales forecasting, provides a competitive edge through trend identification, and streamlines operations by automating processes, ensuring timely access to information, which boosts the demand of the data preparation market. The Australian Bureau of Statistics noted that the e-commerce retail sector accounted for 41.5% of the increase in digital activity value during 2020-21. It forecasts that Australia’s e-commerce market will reach USD 37.10 billion by 2024, with a projected annual growth rate of 9.36% from 2024 to 2029.

In the BFSI sector, data preparation plays a crucial role in effective risk management, allowing institutions to analyse historical data and identify risk patterns, which contributes to the data preparation industry growth. It also ensures regulatory compliance by providing accurate reporting, thereby minimising legal risks. Additionally, it enhances fraud detection through advanced analytics, facilitates customer segmentation for tailored services, and improves strategic decision-making, boosting overall business performance. Eurostat reported that the total assets of the EU banking sector amounted to €39.21 trillion in 2020, representing 292% of the EU's GDP.

Data Preparation Market Regional Insights

Europe Data Preparation Market Analysis

Europe is witnessing a notable increase in the data preparation demand, particularly in Germany, Italy, and France. Data preparation aids organisations in meeting stringent regulations like GDPR by ensuring data accuracy and proper handling. It also enhances data quality through cleaning, transforming, and integrating datasets for reliable insights. In March 2024, Informatica launched new data preparation tools in Europe aimed at helping organisations manage data governance and compliance more effectively, particularly considering GDPR.

North America Data Preparation Market Trends

The North American data preparation market value is poised for significant growth, driven by leading brands like Alteryx, Talend and Informatica. Clean, well-structured data enables organisations to perform more effective analytics for better insights and informed decisions. Efficient data preparation also allows quick adaptation to changing market conditions, boosting competitiveness. In February 2024, Microsoft introduced new features in Power BI that enhanced data preparation and transformation workflows, enabling users to clean and model data more effectively.

Asia Pacific Data Preparation Market Insights

In China brands such as Alibaba Cloud, Tencent Cloud and Baida (Baidu) highlight the growing data preparation market share in the Asia-Pacific region. Data preparation enables businesses to analyse customer behaviours and preferences more efficiently, resulting in enhanced customer engagement and tailored marketing strategies. In April 2024, Tencent Cloud announced enhancements to its data management services, emphasising upgraded data preparation tools that facilitate improved data quality and transformation.

Latin America Data Preparation Market Analysis

Key markets in the region include Brazil, Mexico, and Argentina, where there is significant demand for data preparation market. Brazil's data preparation market is growing rapidly, driven by demand for data-driven decision-making, regulatory compliance, cloud adoption, and investments in technology, particularly in the finance, retail, healthcare, and e-commerce sectors. In March 2024, Totvs introduced new features in its data management solutions, enhancing data preparation capabilities for Brazilian businesses, particularly in the retail and finance sectors.

Middle East and Africa Data Preparation Market Driving Factors

The African data preparation market is experiencing growth, particularly in Egypt, Ethiopia, and Morocco. Analysing data for market insights enables businesses to grasp consumer behaviour and trends, facilitating strategic adjustments. Moreover, data preparation supports governments and NGOs in monitoring development goals and enhancing resource allocation. With stricter data protection regulations like South Africa's POPIA, effective data preparation is crucial for ensuring compliance.

Innovative Startups in the Data Preparation Market

Innovative startups in the data preparation market offer several benefits, including agility and flexibility to adapt quickly to market changes. They leverage cutting-edge technologies like AI and machine learning for efficient data handling and provide cost-effective solutions that make advanced tools accessible to smaller businesses. With user-centric designs, they enhance data literacy for non-technical users and often specialise in niche markets, delivering tailored solutions. Their collaborative ecosystems foster innovation, while streamlined, cloud-based deployment allows for rapid implementation. Additionally, these startups prioritise compliance and security, helping organisations navigate regulatory challenges and protect sensitive data effectively.

Gathr (2022): Gathr provides a collaborative platform for data preparation, allowing teams to clean and transform data simultaneously in real-time. With its user-friendly interface and robust integration features, Gathr streamlines workflows, improving data quality and accessibility for enhanced analytics and insights.

Datafold (2021): Datafold emphasises data quality and observability by offering tools for validation and monitoring. Its platform enables organisations to identify and resolve data issues before they affect analysis, ensuring dependable data preparation processes that foster accurate insights and informed decision-making.

Competitive Landscape

Key market players focus on advanced analytics, business intelligence, and data management, enabling organisations to convert data into actionable insights. Renowned for their innovative software suite, they allow users to conduct complex statistical analysis, predictive modelling, and data visualisation. With a robust commitment to research and development, they continuously adapt their solutions to meet the evolving demands of sectors like healthcare, finance, and retail. Dedicated to promoting a culture of analytics, they also prioritise education and training for data professionals globally.

IBM Corporation

Founded in 1911 and headquartered in Armonk, New York, IBM Corporation is a global technology and consulting company. It specialises in cloud computing, artificial intelligence, data analytics, and enterprise solutions, providing businesses with innovative technologies to enhance operational efficiency and drive digital transformation.

Microsoft Corporation

Established in 1975 and based in Redmond, Washington, Microsoft Corporation is a leading technology company known for its software products, including Windows and Office. It also offers cloud services through Azure, as well as solutions in AI, gaming, and productivity, empowering organisations, and individuals worldwide.

QlikTech International AB

Founded in 1993 and headquartered in Sweden, QlikTech International AB specialises in business intelligence and data visualisation software. Its Qlik Sense platform enables organisations to explore and analyse data interactively, providing insights that drive better decision-making and enhance overall business performance.

EMIC Corporation

Established in 2000 and located in Tokyo, Japan, EMIC Corporation focuses on data management and analytics solutions. The company provides advanced tools for data integration, quality management, and business intelligence, helping organisations harness their data effectively to improve operational efficiency and support strategic initiatives.

Other market key players in the data preparation market report are Altair Engineering, Inc., SAS Institute Inc. and Informatica Inc. among others.