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ISG Report Reveals 50% of Enterprises to Adopt DataOps by 2027 for AI Success

ISG reports that over 50% of enterprises will adopt DataOps by 2027, vital for enhancing AI-driven strategies and operational efficiency.

STAMFORD, Conn., December 04, 2025–(BUSINESS WIRE)–A new report from Information Services Group (ISG) reveals that enterprises are increasingly embracing DataOps software to enhance flexibility and reliability in their data operations, which is essential for supporting automation and achieving business goals. The ISG Buyers Guide™ for DataOps evaluates over 30 software providers, highlighting the growing importance of agile data practices for implementing artificial intelligence (AI) and automation.

The research indicates that through 2027, more than half of enterprises will implement agile and collaborative data operations to become more responsive and eliminate repetitive tasks. The ISG Buyers Guide™ focuses on how DataOps can streamline the development, testing, deployment, and orchestration of data pipelines, essential for effective AI and business decision-making.

“DataOps practices are increasingly essential for accelerating data-driven strategies,” stated Matt Aslett, director of research for Analytics and Data at ISG Software Research. He emphasized that companies can continuously improve operations by aligning processes with business objectives through trusted data pipelines and products.

DataOps marks a significant shift from traditional data management methods, which often rely on rigid, manual practices. Inspired by DevOps—known for its continuous software delivery—DataOps allows organizations to adapt data processing to evolving business and application needs, ultimately facilitating smoother AI implementations.

ISG’s research underscores that enterprises are prioritizing DataOps tools capable of integrating data pipeline development, orchestration, and observability into a single platform. This integration helps mitigate the costs and complexities associated with using multiple separate tools, ensuring a more streamlined approach to data management.

Effective data pipeline development is crucial for organizations to transfer information from operational applications into analytical platforms. Reliable pipelines ensure data is processed in a timely manner, aiding in generating actionable business intelligence and supporting AI initiatives.

As data sources become increasingly dynamic, data orchestration plays a pivotal role in automating and coordinating the creation and maintenance of data pipelines, reducing overall complexity. Meanwhile, data observability tools are vital for monitoring data quality and maintaining trust as it flows through these pipelines.

The development of data products, defined as reusable assets, can empower enterprises to enhance data consumption and feedback loops. Platforms aimed at creating these products should provide user-friendly interfaces for product classification and facilitate self-service data discovery.

In evaluating the top software providers, ISG categorized DataOps, Data Orchestration, and Data Pipelines into three distinct groups. Among the 29 providers assessed, companies such as Pentaho, Databricks, and Informatica emerged as leaders in their respective categories. Pentaho was highlighted as the top Overall Leader in DataOps, with Databricks excelling across multiple evaluation dimensions.

In the Data Orchestration category, Databricks also topped the rankings, with Alteryx and Boomi following closely. Databricks secured numerous Leader designations, reflecting its robust capabilities in managing complex data environments. Similarly, in the Data Pipelines category, Databricks again took the lead, with Informatica and IBM rounding out the top three.

For the Data Observability segment, Monte Carlo was recognized as the top provider, followed by Pentaho and Acceldata, all of which were acknowledged for their comprehensive tools designed to enhance data reliability.

Mark Smith, partner and chief software analyst at ISG Software Research, noted that “preparing for successful AI deployments requires timely and well-managed data,” underscoring the crucial role of DataOps tools in facilitating such initiatives. The report aims to provide enterprises with essential insights and ratings to navigate their choices among software providers effectively.

The ISG Buyers Guides™ for DataOps, Data Observability, and Data Products emerged from extensive market research efforts and are designed to assist enterprises in optimizing their technology investments. These evaluations, devoid of influence from software providers, focus solely on equipping businesses with the information necessary for informed decision-making.

For further information, including access to the complete reports, organizations can reach out to ISG Software Research. The firm continues to lead in technology research, helping clients leverage AI for improved operational excellence.

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Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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