The global market for Decision Intelligence was valued at US$15.1 Billion in 2024 and is projected to reach US$40.1 Billion by 2030, growing at a CAGR of 17.7% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions.
The adoption of DI is fueled by several growth drivers that underscore its transformative impact across multiple business functions. It enhances business intelligence by integrating diagnostic, predictive, and prescriptive analytics, allowing for seamless and agile decision-making processes. By democratizing data analytics, DI enables ad-hoc analytics through conversational interactions with data, making complex data analysis accessible across organizational levels. Additionally, DI streamlines and automates tedious analytical processes, handling vast datasets more efficiently than manual methods. This automation extends to predictive analytics, traditionally the domain of specialized data science teams, now made accessible to commercial decision-makers throughout an organization. These platforms simplify predictive modeling and integrate predictive insights into routine decision-making, enhancing business strategies with functions like AutoML and user-friendly interfaces.
Practical applications of DI are extensive and growing, touching sectors such as healthcare, finance, HR, manufacturing, and retail. In healthcare, DI optimizes hospital resource allocation and manages patient flow by analyzing electronic health records to predict patient risks and enhance scheduling. In finance, it is used for risk assessment, fraud detection, and improving credit scoring by analyzing transaction patterns. In the retail sector, DI optimizes inventory management and customer service by forecasting sales trends and adjusting stock levels. Each application not only illustrates DI’s versatility but also its potential to profoundly impact operational efficiency, strategic planning, and customer interaction. As decision intelligence continues to evolve, it promises to further integrate AI and machine learning with traditional data analysis, enhancing productivity and decision-making accuracy across diverse business landscapes.
Global Decision Intelligence Market - Key Trends and Drivers Summarized
Decision Intelligence (DI) is redefining business analytics by enabling organizations of all sizes to make effective, data-driven decisions using AI-powered tools accessible even to non-technical business users. This emerging field combines machine learning and automation to enhance human decision-making capabilities, providing rapid insights that lead to faster and more informed business decisions. DI helps individuals within organizations ask critical questions about data and streamlines the decision-making process across strategic, tactical, and operational levels. By bridging traditional business intelligence and advanced AI analytics, DI breaks down silos and integrates various analytical approaches, facilitating agile and informed decision-making. This is crucial in a landscape where competitive advantages increasingly hinge on the effective use of data, yet many businesses struggle to convert vast data quantities into actionable insights.The adoption of DI is fueled by several growth drivers that underscore its transformative impact across multiple business functions. It enhances business intelligence by integrating diagnostic, predictive, and prescriptive analytics, allowing for seamless and agile decision-making processes. By democratizing data analytics, DI enables ad-hoc analytics through conversational interactions with data, making complex data analysis accessible across organizational levels. Additionally, DI streamlines and automates tedious analytical processes, handling vast datasets more efficiently than manual methods. This automation extends to predictive analytics, traditionally the domain of specialized data science teams, now made accessible to commercial decision-makers throughout an organization. These platforms simplify predictive modeling and integrate predictive insights into routine decision-making, enhancing business strategies with functions like AutoML and user-friendly interfaces.
Practical applications of DI are extensive and growing, touching sectors such as healthcare, finance, HR, manufacturing, and retail. In healthcare, DI optimizes hospital resource allocation and manages patient flow by analyzing electronic health records to predict patient risks and enhance scheduling. In finance, it is used for risk assessment, fraud detection, and improving credit scoring by analyzing transaction patterns. In the retail sector, DI optimizes inventory management and customer service by forecasting sales trends and adjusting stock levels. Each application not only illustrates DI’s versatility but also its potential to profoundly impact operational efficiency, strategic planning, and customer interaction. As decision intelligence continues to evolve, it promises to further integrate AI and machine learning with traditional data analysis, enhancing productivity and decision-making accuracy across diverse business landscapes.
Report Scope
The report analyzes the Decision Intelligence market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments
Component (Platform, Solutions, Services); Vertical (BFSI, Retail, Manufacturing, Government & Defense, IT & ITeS, Energy & Utilities, Telecom, Other Verticals).Geographic Regions/Countries
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.Key Insights:
- Market Growth: Understand the significant growth trajectory of the Decision Intelligence Platform segment, which is expected to reach US$16.9 Billion by 2030 with a CAGR of a 16%. The Decision Intelligence Solutions segment is also set to grow at 18% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $4.1 Billion in 2024, and China, forecasted to grow at an impressive 16.4% CAGR to reach $6 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of major players such as Aera Technology, Allerin Tech Pvt Ltd., Cognyte, Fair Isaac Corporation, MachEye Inc. and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Decision Intelligence Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Decision Intelligence Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Decision Intelligence Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Some of the 23 major companies featured in this Decision Intelligence market report include:
- Aera Technology
- Allerin Tech Pvt Ltd.
- Cognyte
- Fair Isaac Corporation
- MachEye Inc.
- Pyramid Analytics
- Quantexa Limited
- Saxon Global
- Slingshot Simulations
- Tellius
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
CANADA
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
ITALY
UNITED KINGDOM
REST OF EUROPE
ASIA-PACIFIC
REST OF WORLD
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Aera Technology
- Allerin Tech Pvt Ltd.
- Cognyte
- Fair Isaac Corporation
- MachEye Inc.
- Pyramid Analytics
- Quantexa Limited
- Saxon Global
- Slingshot Simulations
- Tellius
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 210 |
| Published | February 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 15.1 Billion |
| Forecasted Market Value ( USD | $ 40.1 Billion |
| Compound Annual Growth Rate | 17.7% |
| Regions Covered | Global |
