Decision Intelligence Market (2025 - 2030) Size, Share & Trends Analysis Report By Component (Solutions, Services), By Deployment (Cloud, On-Premises), By Enterprise Size (Small & Medium Enterprises), By Vertical (BFSI, IT & Telecom), By Region, And Segment Forecasts

Decision Intelligence Market Summary

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. Decision intelligence is an emerging field focused on enhancing decision-making practices within organizations by integrating technology, structured processes, and human expertise.

Decision intelligence empowers organizations to achieve impactful business outcomes by equipping individuals with advanced analytics capabilities seamlessly integrated into their decision-making and operational processes.

The market is further driven by escalating investments in AI and IoT technologies and advancements in big data technology to generate actionable business intelligence. These developments are empowering businesses to offer better-tailored solutions and services, which, in turn, contribute to the growth of the decision intelligence market. For instance, in April 2025, Aera Technology, a prominent provider of decision intelligence, announced significant ROI gains for enterprises using its platform to optimize inventory management. By leveraging Aera Decision Cloud and composable Aera Skills, businesses are improving inventory performance by up to 20%. The platform applies decision intelligence to sense and respond to real-time demand and supply shifts, delivering accurate, automated recommendations.

Decision intelligence aims to generate significant organizational impact by integrating various approaches to decision-making with artificial intelligence (AI), automation, business intelligence (BI), and forward-thinking decision-makers. Optimizing data and advanced technology investments enable organizations to gather actionable intelligence, supporting more advanced decision-making and leading to higher returns on investment. These applications are specifically designed for users that lack extensive coding expertise yet still desire to develop comprehensive BI solutions-incorporating these intelligent apps into the BI tool allows users to access targeted and interactive analytics. This empowers them to automate actions or make knowledgeable decisions based on the presented data.

Decision intelligence platforms offer a comprehensive approach to gathering, storing, and analyzing vast data. This data can then be used to make more informed decisions about everything from product development to marketing campaigns. AI has revolutionized data analysis by automating various tasks, allowing users to dedicate their time and energy to more strategic endeavors. Furthermore, AI-driven advancements in data analysis techniques enhance decision-making processes, resulting in superior outcomes for businesses.

Component Insights

The solutions segment dominated the market in 2024 and accounted for a revenue share of over 73%. The growth is attributed to the increased demand for data-driven decision-making solutions, where businesses will look to decision intelligence solutions to help them make better decisions. Solutions have witnessed a remarkable advancement, enabling them to tackle diverse business challenges effectively. Moreover, there has been a notable reduction in the cost of these solutions over the past few years, rendering them accessible and affordable for businesses across all scales. Furthermore, the increasing emphasis on data-driven decision-making has fueled the adoption of decision intelligence solutions driven by a surge in demand.

The services segment is anticipated to grow significantly over the forecast period. The rising complexity of decision intelligence solutions creates implementation and usage challenges for businesses. As a result, there is a growing demand for consulting and training services to bridge the knowledge gap. Businesses increasingly recognize the value of data-driven decision-making to enhance their performance, leading to an increased need for support services offering troubleshooting and optimization guidance. Additionally, the availability of cloud-based decision intelligence solutions is expanding, driving affordability and accessibility for businesses of all sizes. This, in turn, fuels the demand for consulting and training services to assist companies in assessing their requirements and effectively implementing these solutions.

Deployment Insights

The cloud segment accounted for the largest market revenue share in 2024. Cloud-based decision intelligence solutions are gaining traction due to their numerous advantages over on-premises alternatives. These advantages include scalability, flexibility, ease of implementation and usage, and enhanced security and compliance. Moreover, there is a growing demand for data-driven decision-making, further fueling the adoption of cloud-based solutions. Cloud service providers actively invest in developing robust cloud-based decision intelligence solutions, streamlining the process of finding and implementing solutions that align with businesses' specific requirements.

The on-premises segment is predicted to experience significant growth in the forecast years. The high share can be attributed to the high demand for on-premises decision intelligence solutions and regulatory, compliance, and security requirements. Some businesses prioritize control and security over their data, which may not be achievable with cloud-based options. Additionally, customization requirements prompt businesses to opt for more flexible on-premises solutions. The cost factor also plays a role, as cloud-based solutions are more expensive, especially for businesses with limited budgets.

Enterprise Size Insights

The large enterprise segment accounted for the largest market revenue share in 2024. The growth is attributed to improved customer engagement and satisfaction, enhanced data access and discovery, enhanced data analysis and visualization, lower operational expenses, and increased productivity. Moreover, large enterprises possess a substantial volume of data, which, though valuable, can be challenging to manage and analyze effectively. Decision intelligence solutions enable them to harness this data to drive informed decisions. Furthermore, their financial resources allow large enterprises to invest in decision intelligence solutions, recognizing the value and potential benefits these solutions offer to their business operations.

The small & medium enterprises segment is predicted to foresee significant growth in the forecast years. SMEs increasingly embrace data-driven decision-making as they recognize its significance in achieving better outcomes. Furthermore, the decreasing cost of decision intelligence solutions has made them more accessible to SMEs. They are benefiting from the growing availability of data, primarily driven by the widespread use of digital technologies such as e-commerce, social media, and mobile devices. This expanding data pool gives SMEs valuable insights to drive their decision-making processes.

Vertical Insights

The healthcare segment accounted for the prominent market revenue share in 2024. Decision intelligence in healthcare has numerous benefits, including creating a user-friendly workflow for effective patient care, improved data processing for developing high-quality electronic health record management and improving healthcare professionals' decision-making abilities. AI is the key to unlocking the potential to incorporate decision intelligence into healthcare businesses that operate on ever-growing data streams and are always learning to make information conveniently available for better decision-making. For instance, in September 2024, CitiusTech Inc. partnered with Novant Health for Enterprise Data & Decision Intelligence services. The collaboration leverages CitiusTech’s expertise in AI, advanced analytics, and data integration to enhance healthcare decision-making, improve patient care, increase operational efficiency, and deliver measurable outcomes across Novant’s extensive healthcare network.

The IT & telecom segment is predicted to foresee significant growth in the forecast period. Decision intelligence can be employed to analyze customer data and improve the overall customer experience. Decision intelligence models identify customer preferences, sentiment, and pain points by leveraging data from various touchpoints, including call logs, chat transcripts, and social media interactions enabling personalized service offerings, targeted marketing campaigns, and proactive issue resolution. Furthermore, it assists in optimizing network infrastructure and operations. By analyzing data on network traffic, performance metrics, and user behavior, decision intelligence can identify bottlenecks, predict network congestion, and optimize routing and resource allocation.

Regional Insights

North America decision intelligence market dominated the global market in 2024, accounting for more than 45% of worldwide revenue due to Al's extensive R&D capabilities in developed economies, research institutes, and several top Al enterprises situated in this area. Increased investment in innovative technology to improve customer experience and corporate processes is expected to generate lucrative growth prospects in North America. Furthermore, the region has great R&D expertise in Al and has recently invested in Al-related technology. They have also implemented policies to aid in the development of the field.

U.S. Decision Intelligence Market Trends

The U.S. Decision Intelligence industry is poised for significant growth in 2024, driven by the increasing need for data-driven, automated decision-making across sectors such as healthcare, finance, retail, and manufacturing. As organizations face rising data complexity and demand for real-time insights, decision intelligence platforms that combine AI, machine learning, and analytics are becoming essential. Companies are increasingly integrating decision intelligence into digital transformation strategies to enhance agility and competitiveness.

Europe Decision Intelligence Market Trends

The Decision Intelligence market in Europe is expected to witness significant growth over the forecast period, driven by the region's accelerating digital transformation initiatives and increasing demand for real-time, data-driven decision-making. Enterprises across industries such as manufacturing, healthcare, BFSI, and logistics are adopting decision intelligence to enhance operational efficiency, reduce risks, and improve strategic outcomes. The growing emphasis on AI ethics, data privacy, and regulatory compliance in the EU is also pushing organizations to adopt transparent and auditable decision-making systems.

Asia Pacific Decision Intelligence Market Trends

Asia Pacific is anticipated to register the fastest CAGR over the forecast period owing to increasing digitalization, advancements in AI and analytics technologies, and a growing emphasis on data-driven strategies. As the region's economies develop, businesses across various industries recognize the value of data-driven decision-making and are increasingly adopting decision intelligence solutions. Countries in the region are increasingly embracing advanced technologies such as AI, machine learning, big data analytics, and cloud computing. These technologies are integral to decision intelligence solutions, enabling organizations to process and analyze vast amounts of data efficiently. The growing adoption of technology in APAC acts as a catalyst for the expansion of the decision intelligence market in the region.

Key Decision Intelligence Company Insights

Some key companies in the decision intelligence industry are Board International, Domo, Inc. and Google LLC.

• Domo, Inc. is a U.S.-based cloud software company specializing in business intelligence (BI) and data visualization. Domo, Inc. offers a cloud-native platform that integrates data from various sources, enabling real-time analytics and decision-making across organizations. Domo provides tools that combine AI, machine learning, and automation to enhance business decisions. The platform supports the creation of intelligent business applications, allowing users to develop custom apps without extensive coding knowledge. These apps facilitate interactive analytics, automate actions, and provide real-time insights, thereby improving decision-making processes.

• Board International is a global provider of intelligent planning solutions, combining business intelligence (BI), performance management, and advanced analytics within a unified decision-making platform. Board International delivers a composable platform that empowers organizations to connect data, insights, and planning processes across departments. Its decision intelligence capabilities enable users to model complex scenarios, forecast outcomes, and automate decisions using integrated AI and machine learning.

Recent Developments

• In April 2025, Circuitry.ai unveiled its Decision Intelligence Platform 25.1 at Field Service USA, enhancing its Service AI Advisor, Parts AI Advisor, and Warranty AI Specialist tools. The upgraded platform boosts first-time fix rates, accurately matches parts to service jobs, and streamlines warranty claim decisions, driving higher accuracy, productivity, and efficiency in field service operations. Trained on extensive service lifecycle data, the platform delivers advanced diagnostic and predictive capabilities, supporting complex service needs across industrial, medical, heavy equipment, and material handling sectors.

• In April 2025, TATA Consultancy Services Limited partnered with Vianai Systems, Inc. to advance decision intelligence through generative AI. The collaboration provides TATA Consultancy Services Limited clients access to Vianai’s hila Platform, which enables C-suite leaders to interact with enterprise data using natural language and gain real-time insights without technical expertise. The Platform supports decision-making across finance, sales, and supply chain by integrating GenAI with advanced analytics. TATA Consultancy Services Limited will customize hila for industries such as financial services, ensuring seamless system integration, post-deployment support, and tailored AI capabilities. This partnership aims to bring conversational decision intelligence to core business functions, enhancing enterprise agility and data-driven strategies.

• In January 2025, Bamboo Rose, Inc., a leading provider of retail management solutions, acquired Verteego to launch the retail industry's first AI-powered decision intelligence platform. Verteego's expertise in AI-driven supply chain decision automation complements Bamboo Rose, Inc.'s mission to help retailers make faster, data-informed decisions. This strategic move enables the integration of advanced AI capabilities into retail operations, allowing businesses to automate complex decision-making processes and maximize the value of their data.

Decision Intelligence Market Report Scope

Global Decision Intelligence Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global decision intelligence market report based on component, deployment, enterprise size, vertical, and region:

• Component Outlook (Revenue, USD Billion, 2017 - 2030)

  • Solutions

  • Services

• Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

  • On-premises

  • Cloud

• Enterprise Size Outlook (Revenue, USD Billion, 2017 - 2030)

  • Small & Medium Enterprises

  • Large Enterprises

• Vertical Outlook (Revenue, USD Billion, 2017 - 2030)

  • BFSI

  • IT & Telecom

  • Retail & Ecommerce

  • Healthcare

  • Manufacturing

  • Government

  • Others

• Regional Outlook (Revenue, USD Billion, 2017 - 2030)  

  • North America

    • U.S.

    • Canada

  • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

    • Mexico

  • Middle East and Africa (MEA)

    • UAE

    • Kingdom of Saudi Arabia

    • South Africa