AI, Data Science, Machine Learning, and ModelOps Drive Business Value in 2025 Market Study

Dresner Advisory Releases 2025 Research on AI, Data Science, Machine Learning, and ModelOps

The 2025 AI, Data Science, and Machine Learning Market Study, part of the Dresner Advisory Wisdom of Crowds® series, reveals that most organizations view artificial intelligence (AI) as a strategic or supporting business element. AI, alongside data science (DS) and machine learning (ML), combines techniques like statistics, modeling, neural networks, and data mining to analyze data and forecast future or unknown events.

This 12th edition study highlights the increasing importance of AI, DS, and ML as companies aim to improve operations, enhance forecasting, and foster innovation. While current adoption levels are modest, the research anticipates a significant rise in usage. Key applications include demand forecasting, customer segmentation, and predictive maintenance.

AI’s Role in Business Strategy and Investment

According to the study, most organizations report AI playing either a direct or supporting role. Investment in AI is primarily driven by the need to address inefficiencies, experiment with new approaches, and prepare for potential disruptions. Organizations are progressing at varying speeds but show cautious optimism about AI’s potential to add business value.

Focus on ModelOps for Managing AI and ML Models

Dresner Advisory also published its 4th annual ModelOps Market Study, which examines the practices and technologies required to manage AI and machine learning models throughout their lifecycle. ModelOps covers the governance, scalability, and performance management of various models, including Large Language Models (LLMs) and simpler analytical or decision-intelligence models.

Effective ModelOps is crucial for maintaining efficiency and accountability in AI, data science, and generative AI initiatives. While the number and diversity of models in production continue to grow, challenges remain in visibility, oversight, and ownership. The increasing role of agentic AI highlights the urgent need for solid ModelOps frameworks that extend beyond traditional AI and ML models.

Research Methodology and Industry Insight

The Wisdom of Crowds® research is based on comprehensive data collected from users across roles and industries. This broad participation provides a detailed view of current usage, deployment trends, and market perceptions related to AI, DS, ML, and ModelOps.

For more detailed information, visit the official Dresner Advisory website.

About Dresner Advisory Services

Dresner Advisory Services specializes in thought leadership for AI, analytical data infrastructure, business intelligence, performance management, ERP, and related fields. The firm supports organizations in making data-driven decisions through independent analysis and research.