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Physics-Based Simulation Software: Consolidation Implications for Industry

Physics-Based Simulation Software: Consolidation Implications for Industry

A Complimentary Educational Webinar with Don Tolle, Co-Director, Simulation-Driven Systems Development Consulting Practice, Sandeepak Natu, Co-Director, Simulation-Driven Systems Development Consulting Practice, and Nick Appleyard, Senior Consultant-Simulation, CIMdata

27 February 2025
11:00 EST | 08:00  PST | 17:00 CET

Replay

The consolidation of the engineering software industry is reshaping the landscape of physics-based simulation. As competing providers merge and expand their offerings, companies must navigate overlapping PLM, PDM/MCAD, EDA/MBSE, and MCAE solutions. This webinar explores the challenges and opportunities presented by this evolving environment, from managing software integration conflicts to leveraging AI, analytics, and simulation for enterprise digital transformation.

In the webinar, we will consider:

The Current Market Status

Industrial companies engaged in discrete product manufacturing face a critical need for enterprise-level business transformation. This includes evolving their associated product development processes —such as digital engineering and the adoption of digital thread/digital twin technologies— by leveraging major technology disruptors, such as:

  • Industry 4.0/5.0 enabled by IIoT platforms.
  • AI/Machine Learning/Data Analytics.
  • Computing advances- GPUs/ASIC (NVIDIA), HPC, Edge Computing.
  • New software licensing models- Cloud, Software as a Service (Saas), Industrial Metaverse.
  • Data cyber security requirements.
  • Robust performance modeling and optimization of cyber-physical systems of systems (software, hardware, electronics, sensors/optics, IT networks, chemical/biological, etc.)
  • Physics-based digital twins are defined and implemented across the entire product lifecycle and cross-leverage across the enterprise domains, including supply chain partners.
The Strategy of the Major Software Solution Providers

Leading software providers aim to deliver unified platforms supporting digital engineering, digital thread, and digital twin initiatives. This push has driven significant consolidation among the major PLM, MBSE, simulation/analysis, and design for manufacturing software companies, as well as by the major EDA companies now moving into the mechanical engineering domain via in-house R&D as well as aggressive M&A. Solutions from all the major vendors now span across multiple engineering domains including EDA.

Key Investments in MCAE

Cadence, Keysight, Siemens Digital Industries Software, and Synopsys have all made major MCAE investments over the past several years. To justify those investments, these companies will have to generate significant revenue growth and additional profitability.

Challenges for Industry

Consolidation within the PLM, EDA, and MCAE software industry is driving a fundamental shift in how companies manage their digital engineering ecosystems. It will require companies to assess the mix of software tools they are currently using and identify areas of overlap and gaps that remain. To fully realize the benefits of digital engineering, organizations must move beyond traditional, siloed approaches and embrace more integrated, interoperable solutions.

What will I learn?
  • Key best practices for evaluating the current maturity level of modeling and simulation tools within a digital engineering approach context.
  • How to identify and assess solution gaps in your current software tools and determine whether to enhance them or integrate multiple solutions from different providers.
  • How to define meaningful metrics to measure the benefits of implementing simulation, data analytics, and data management digitalization initiatives.
  • The benefits and costs of platform consolidation, including: potential software cost savings, increased productivity and efficiency, enhanced product innovation, and the cost of learning new tools and adapting simulation processes
Who should attend?
  • Managers responsible for defining and implementing digital transformation/digital engineering initiatives, including Model-Based Systems Engineering (MBSE)
  • Managers and Technical Specialists of physics-based simulation and analysis (S&A) teams
  • Managers of physical test/V&V activities focused on product performance and quality assessment
  • Managers and technical specialists in data analytics and AI/ML initiatives focused on implementing physics-based digital twins

During the webinar, you’ll also have the opportunity to ask the panelists questions about the topics discussed.

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