Top Decision Support System Examples across 10 Industries (2023 & 2024)

Curious about new technological advancements in the data processing sector? Explore our analysis of 834 global decision support system startups & scaleups impacting 10 industries and learn about their solutions including CDSS, climate decision support, smart transport planning, and more!

Decision support systems (DSS) provide valuable insights into business operations and aid critical decision-making. However, process digitization and the integration of connected devices increase the complexity of IT infrastructure and data processing. As a result, novel decision support system examples integrate data processing technologies like artificial intelligence and natural language processing (NLP).

We give you data-driven innovation insights based on our analysis of 834 decision support system examples so that you do not miss out on emerging solutions that improve decision-making. They allow you to improve operational throughput and enhance process visibility. Read more to explore the impact of decision support systems on 10 industries and how they advance your business.

Tree Map reveals the Impact of Decision Support Systems Examples on 10 Industries

The Tree Map below illustrates the impact of Decision Support Systems on 10 industries in 2023 & 2024. Clinical DSSs speed up disease diagnosis and optimize healthcare administration while the pharma sector leverages DSS to accelerate drug development and mitigate supply chain inefficiencies. On the other hand, businesses use DSS to improve the sustainability of their operations.

Fintech and insurance companies improve risk management and product offerings with DSS by generating detailed insights into customer profiles. Further, DSS enables precision farming for the agriculture sector while enhancing energy management in the energy sector. Lastly, DSSs accelerate military operation planning, transportation management, and biotech workflows.


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Global Startup Heat Map covers 834 Decision Support Systems Startups & Scaleups

The Global Startup Heat Map below highlights the global distribution of the 834 exemplary startups & scaleups that we analyzed for this research. Created through the StartUs Insights Discovery Platform that covers 2 500 000+ startups & scaleups globally, the Heat Map reveals that the US & Western Europe have a high concentration of decision support systems startups, followed by India.

Below, you get to meet 10 out of these 834 promising startups & scaleups as well as the solutions they develop. These 10 startups are hand-picked based on criteria such as founding year, location, funding raised, and more. Depending on your specific needs, your top picks might look entirely different.


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Examples of Decision Support Systems in 10 Industries

1. Healthcare

Clinical decision support systems (CDSS) aid decision-making by leveraging electronic medical records and other clinical workflow data. This allows clinicians and hospital staff to optimize operations and improve care delivery to patients. In the healthcare sector, DSS solutions now combine AI, machine learning, and natural language processing to accelerate insight generation.

Consequently, the improved performance of CDSS minimizes errors in healthcare workflows. For example, medical imaging solutions provide physicians and radiologists with a second opinion on disease diagnosis, improving confidence and eliminating misdiagnosis.

Hera-MI provides Clinical Decision Support

French startup Hera-MI develops Breast-SlimView, an AI-based breast cancer diagnosis solution. It is a patented clinical decision support software for 2D and 3D mammography. Breast-SlimView’s algorithm automatically detects normal physiological areas, such as vessels, glandular tissue, fatty tissue, & mammary gland, and masks the healthy breast areas. This process decreases time spent on non-problematic areas while radiologists are able to focus on more complex scenarios.

2. Environment & Climate

The increasing customer preference towards climate-positive products and services forces businesses to transition to cleaner operations. Sustainability DSS solutions aid this by offering real-time and comprehensive insights into carbon emissions and process inefficiencies. For instance, emissions tracking platforms allow companies to analyze their emissions in detail.

This data enables them to better plan their offsetting efforts. Further, performance-tracking solutions for carbon projects allow businesses to ensure that their projects are in optimal functioning, improving sustainability planning and advancing net zero.

Komunidad offers SaaS Tools for Climate-based Decision Making

Singapore-based startup Komunidad allows users to analyze climate data to address pressing climate challenges. Its data-driven tools and insights enable enterprises and governments to make informed decisions, implement effective strategies, and take meaningful action towards a more sustainable and resilient future.

It offers a series of SaaS products including solutions for resilience building, sustainability practices, communications tools, and impact risk assessment. For example, the municipality of Siargao uses its early warning systems for disaster preparedness. The Assam State Disaster Management Authority in India also receives alerts and warnings through Komunidad.

3. Energy

The disruption in the global energy supply chain due to the war in Ukraine and increased energy costs demands better management of energy resources. As the transition to renewable energy happens, improved demand response is crucial to minimize grid downtimes. Therefore, decision support systems startups develop solutions tailored to the energy industry.

This includes solutions for the planning, development, and maintenance of energy infrastructure and built environments. These solutions allow energy companies and businesses to optimize energy usage and reduce their carbon footprint. Further, DSS advances the transition to clean grids by integrating with virtual power plants (VPPs) to ensure optimum distributed energy resource (DER) utilization.

Brightmerge advances Microgrid Planning & Development

Brightmerge is an Israeli startup that creates a renewable microgrid platform. It combines cloud computing, AI, and machine learning to accelerate microgrid site prospecting, planning, development, and operational optimization. The platform also optimizes energy pricing, provides risk analysis, and offers business intelligence. These features allow energy developers and financiers to simulate and streamline the return on investment (ROI).

4. Insurance

Processing customer information is a time- and cost-intensive task in the insurance sector. This leads to increased lead conversion periods and, in turn, hinders sales. To tackle this issue, DSS integrates into existing data systems of insurance companies to automate data processing. Consequently, it accelerates customer profiling, flagging, and marketing.

Moreover, startups increase the performance of DSS with AI or other advanced data processing technologies, resulting in shorter lead conversion cycles. Further, DSS provides detailed insights into customer profiles and financial activities which allow insurers to prevent fraud.

Bifrost accelerates Reinsurance Transactions

Bifrost is a French startup that digitizes reinsurance transaction processes. The startup’s solution provides a secure channel for data exchange between clients, brokers, and reinsurers. This automates the collection of critical data like reinsurer quotes, capacities, and subjectivities. Further, the solution provides decision support by offering proposals to clients and brokers on the treaty syndication based on the reinsurer data.

5. Finance

Similar to the insurance industry, financial services use decision support systems to accelerate customer data processing. At the same time, they find applications in market analysis and risk management. For example, AI or deep learning-powered DSS solutions track market activities in real-time to predict disruptions.

This allows banks and non-banking financial companies (NBFCs) to speed up decision-making and ensure optimum revenue. In stock market analysis, DSS provides insights into investment opportunities that allow investors and customers to maximize profits and mitigate unnecessary risks.

Lastly, DSS provides valuable insights into customer profiles that allow businesses to personalize their product offerings and increase sales.

SatSure aids Financial Risk Analysis

SatSure is an Indian startup that offers financial risk analysis for banks, NBFCs, and insurance companies. The startup’s solution uses data science and remote monitoring to analyze disconnected public domain and organizational data to identify risk indicators. This allows insurance companies to improve risk profiling, financial services to improve loan management, and banks to optimize portfolio strategies.




6. Agriculture

Integration of Internet of Things (IoT) devices such as soil and weather sensors provides farmers with massive amounts of crop and land-specific information. DSS solutions leverage this data, along with operational information, to drive critical decision-making processes. For example, detailed insights into soil moisture and carbon levels allow farmers to enable site-specific or precision agriculture, saving operational costs and optimizing resource use.

Further, agricultural decision support systems improve mission planning, irrigation management, climate change adaptation, and food waste control.

Agricolus develops Precision Agriculture Tools

Agricolus is an Italian startup that develops precision farming tools for farm management. The startup deploys satellites and drones to calculate parameters relating to vigor, water stress, and chlorophyll quantity. It also creates maps that facilitate variable rate application of fertilizers and other inputs. Further, the startup offers traceability of the farm operations and performance analysis through its hardware, AgriPlug. Overall, the solutions optimize production by ensuring the right treatments and inputs while lowering management costs.

7. Pharma

The pharmaceutical industry primarily leverages DSSs to accelerate drug development pipelines. Such solutions allow researchers to quickly identify target molecules and create novel drugs. Further, pharma companies integrate DSS into their workflows to centralize data and supply chain management.

As decision support systems combine with existing data systems, they mitigate data silos and improve visibility across business operations. This, in turn, allows pharma companies to bring the overall progress and status of their processes under one platform, enhancing performance. facilitates Genomic Data Analysis is a German startup that makes a genomic data analysis platform. It combines wide data, knowledge graphs, and evolutionary learning to learn complex patterns from smaller datasets and create evidence-driven disease models. This allows pharma companies and researchers to mitigate false target discovery and accelerate drug development while enabling precision medicine.

8. Military

Traditional decision-making tools in the military do not utilize real-time information, which is crucial to ensure dynamic and flexible operation planning. Novel DSS solutions tackle this is leveraging AI, deep learning, drones, and IoT. For instance, reconnaissance drones provide real-time situational awareness in combat zones. This enables mission control units to quickly plan offensive attacks. Moreover, advanced DSS solutions provide insights into enemy movement and optimize tactical decision-making without human intervention.

Onebrief enables Rapid Miltary Planning

US-based startup Onebrief develops presentation software that facilitates rapid military planning, especially for joint task forces. It gathers the users’ inputs in one place, enabling them to quickly address new problems and conduct timely mission analysis using various visual tools. Onebrief also auto-updates the outputs, including briefings, sync matrices, maps, and written orders. This enables effective collaboration among the task force members.

9. Transportation

As the quality of life increases, cities deal with congestion, traffic delays, and safety issues. Transportation decision support systems allow cities and service providers to streamline project planning. For example, leveraging AI to better understand traffic patterns allows transport companies to enhance new fleet deployment.

Such efforts improve customer satisfaction and drive profits. Further, DSS solutions combine all transport data to improve visibility into mobility and logistics operations, allowing businesses to find process inefficiencies and optimize workflows.

s2 data & algorithms advances Smart Transportation Planning

s2 data & algorithms is an Austrian startup that makes MasterScheduler, a smart transportation planning software solution. It integrates with enterprise resource planning (ERP) or transportation management systems to optimize transport planning. Moreover, the software features demand-based tactical and operational planning to maximize asset utilization across transport networks. Consequently, this allows transport companies to optimize operations as well as reduce carbon emissions and fuel costs.

10. Biotechnology

The biotech sector deals with massive amounts of biological data, making it brutal for researchers to manually analyze relevant data. While conventional computer-based DSS systems speed up data processing, the lack of dynamic modeling hinders the performance of biological computations. To tackle this, startups integrate advanced data analytics solutions.

This enables researchers to quickly process complex data like genomes and target molecules. DSSs accelerate bioinformatics workflows and, in turn, advance drug development, gene sequencing, bioremediation, and waste management.

Nostos Genomics advances Genetic Analysis

Nostos Genomics is a German startup that develops AION, an AI-based genetic analysis platform. It automates genetic variant interpretation to scale genomic sequencing operations. The platform also outperforms the rules-based American College of Medical Genetics and Genomics (ACMG) classification. This allows biotech and pharma researchers to accelerate drug development.

Discover All Decision Support System Examples & Startups

Advances in AI, deep learning, high-performance computing (HPC), and NLP enhance the performance of decision support systems. This will drive the adoption of DSSs across industries. Further, tailored adoption of decision-support solutions driven by data, models, communication, knowledge, and documents will increase based on specific use cases. Get in touch to identify specific decision support systems startups & solutions that advance your business!

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