Simulation modeling is advancing quickly as industries push for smarter, more connected, and visually immersive simulations. In this blog post, discover the top simulation modeling trends in 2025 that will transform how models are created, shared, and utilized.
Contents:
- Advancements in 3D animation for enhanced visualization
- AI-powered simulation modeling
- Cloud-based solutions
- Next level of digital twins with real-time data streaming
- Multimethod simulation modeling
- Stay ahead of the competition
1. Advancements in 3D animation for enhanced visualization
The demand for high-quality, realistic simulation visualization is growing. In 2025, simulation modeling will significantly leap forward in 3D animation, enabling users to create more immersive and detailed models.
Recent advancements, such as AnyLogic’s integration with NVIDIA Omniverse, provide new levels of graphical realism. Engineers and decision-makers can now experience highly detailed 3D environments.
While 3D animation provides clarity and detail, virtual reality (VR) allows users to step inside their models, making it easier to analyze complex systems and collaborate. As AnyLogic models are used in large-scale projects for critical decisions, the simulation modeling process often involves multiple team members collaborating on a single model.
AnyLogic’s integration with NVIDIA Omniverse brings realistic 3D animation to simulation models, making it a powerful asset across various industries, from manufacturing to logistics.
As the boundaries between the digital and physical worlds blur, 3D animation and VR will become essential tools for understanding systems of any complexity and driving innovation.
2. AI-powered simulation modeling
The role of artificial intelligence (AI) in simulation modeling has grown exponentially over the last years. In 2025, AI integration in simulation modeling is no longer a futuristic concept but a real opportunity.
For example, AI-powered tools like ChatGPT enhance simulation models by providing real-time insights, summarizing results, and even enabling conversational interaction with models. Now, ChatGPT can act as a data analyst co-pilot, helping to interpret data and draw conclusions while simulations run. In one of our blog posts, we explain how ChatGPT can assist you in building and enhancing simulation models in AnyLogic.
Another trend is embedding machine learning models into simulations. It allows data scientists to test and refine AI-driven solutions in a risk-free environment, where they can observe how their algorithms perform under various conditions. At the same time, simulation modelers benefit from more accurate, data-driven inputs, improving model fidelity and enabling smarter decisions.
AnyLogic also supports reinforcement learning (RL) integration through Python and Java APIs, allowing users to link simulation models with popular RL libraries. This way, agents explore different strategies within the simulated environment, gradually improving by learning from their actions and outcomes. Such a process helps fine-tune policies that can be directly deployed in real-world operations later.
Read also how combining AI technologies with simulation unlocks new possibilities for businesses. Our white paper provides practical insights, real-world examples, and a closer look at the usage of AI in simulation modeling.
3. Cloud-based solutions
The shift towards cloud-based simulation modeling is transforming how models are run and shared. AnyLogic Cloud is a perfect execution environment for running experiments and sharing models and simulation results. This approach eliminates hardware constraints, allowing users to run complex models efficiently from anywhere with multi-user access possibilities.
AnyLogic 9 will soon become available to all users, introducing a new level of cloud-based modeling.
AnyLogic 9 will allow users to not only run and share models but also build and edit them directly on the web, enabling seamless, real-time collaboration. It will become even easier for teams to work on models, ensuring a streamlined, interactive development process. Moreover, companies will always have access to the latest simulation tools without needing to update the desktop version of the software.
If you want to see AnyLogic 9 in action, check out our workshop from last year’s AnyLogic Conference. This highly practical session offered a hands-on experience as attendees followed step-by-step instructions to build a supply chain model directly in their browser and got a first look at the reality of working with AnyLogic 9.
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4. Next level of digital twins with real-time data streaming
As simulation models become more connected to real-world systems, the need for efficient real-time data exchange is growing. In 2025, Message Queuing Telemetry Transport (MQTT) is emerging as a standard protocol for communication between simulation models and Internet of Things (IoT) devices.
MQTT is a lightweight messaging protocol that enables real-time data streaming. It is ideal for simulation models that need live updates from IoT sensors, machines, and external systems.
One of the most widely used MQTT brokers is Eclipse Mosquitto, an open-source implementation for easy message exchange between various devices. Integrating MQTT with simulation models allows AnyLogic users to create highly dynamic, real-time connected environments where models respond instantly to incoming IoT data. This way, digital twins use MQTT to sync with real-world assets, ensuring accurate real-time representation.
Read also our blog post about simulation-based digital twins for business. Discover how they transform industries by enhancing business insight and performance. Learn about their development and real-world examples from the manufacturing and supply chain industries.
5. Multimethod simulation modeling
Multimethod simulation modeling is gaining popularity as a powerful approach for solving complex, real-world problems. The idea is simple yet effective: combine different simulation methodologies to overcome the limitations of individual methods and get the best out of each.
More than half (56%) of the papers from the Winter Simulation conferences of the last 10 years focus on real-world applications of this approach. For now, the healthcare field stands out as the sector where multimethod modeling has been used the most (29% of all described cases in academic papers).
Multimethod simulation models allow researchers and practitioners to combine different simulation techniques to represent the full complexity of a business system without oversimplification. Combining methods also makes models easier to scale and closer to reality, as this technique helps to avoid unnecessary abstractions and assumptions that may come if using one methodology.
With AnyLogic, you are never limited to a single modeling method. Whether you need system dynamics, discrete-event, agent-based modeling, or a combination of all three, the software gives you the flexibility to create multimethod models that solve even the most complex business challenges. AnyLogic remains the only simulation modeling software on the market that supports all three main paradigms.
Stay ahead of the competition
To stay competitive in 2025 and beyond, businesses should embrace the latest advancements in simulation modeling. From AI-powered insights and real-time digital twins to cloud-based collaboration and enhanced 3D visualization, these trends are transforming how organizations optimize operations and make data-driven decisions. With AnyLogic, you have everything needed to leverage cutting-edge technologies and stay ahead of the competition.
Be ready for the future—download AnyLogic today for free.
