Why is decision intelligence important?
Decision intelligence (DI) has emerged as a critical capability for organizations navigating today's complex and rapidly evolving landscape. DI is the application of AI to enhance decision-making. Depending on the use case, the level at which the machine intervenes may vary depending on the complexity and risk of the situation. Below are the three different categories of decision assistance:
- Decision Automation - Low complexity and minimal consequences – Ideal for situations where the chance of error is slimmer, and the consequences from potential errors are not drastic.
- Decision Augmentation - Medium complexity and consequence. The aim is for machines to provide what you need for your own decisions to be swifter, more informed.
- Decision Support - Highest complexity and greatest consequence. Machine intervention should be at its least intrusive. Humans need to be making the decisions in such cases, both to ensure accountability and minimize the possibility of misjudgment.
Applying the correct level of machine intervention can help organizations face increasing volumes of data and sophisticated threats, and it enables them to maintain an agile approach while ensuring that critical decisions receive human oversight.
Many analytical tools fall short by providing summaries and insights that may not be actionable. Decision intelligence addresses this challenge by democratizing data and insights, making them accessible to a wider range of users. By providing analysts better insights, investigators and decision-makers can identify emerging threats and respond effectively to challenges.
Market Research from Gartner shows:
According to the 2024 Gartner Chief Data and Analytics Officer (CDAO) Agenda Survey, one-third of organizations have implemented decision intelligence (DI).
By 2026, 75% of Global 500 companies will apply decision intelligence practices, including the logging of decisions for subsequent analysis.
By 2028, 25% of CDAO vision statements will become “decision-centric,” surpassing “data-driven” slogans, with human decision-making behaviors explicitly addressed to improve D&A value.
Other Market Research has forecasted that growth and adoption is expected:
Grand View Research: "The global decision intelligence market size was estimated at USD 15.22 billion in 2024 and is projected to reach USD 36.34 billion by 2030, growing at a CAGR of 15.4% from 2025 to 2030." They attribute this growth to "the increased demand for data-driven decision-making solutions."
MarketsandMarkets: "The global decision intelligence market is projected to grow from USD 13.3 billion in 2024 to USD 50.1 billion in 2030, at a CAGR of 24.7% during the forecast period." This indicates a very aggressive growth trajectory.
Fortune Business Insights: "The market is projected to grow from USD 19.38 billion in 2025 to USD 57.75 billion by 2032, exhibiting a CAGR of 16.9% during the forecast period."