#SimScale

[allof-tech]

Struggling to afford engineering simulation software? SimScale offers FREE access to students & educators! Unlock the power of cloud-based simulation & empower the next generation of innovators.

[materialsscienceandengineering]

Why the Tacoma Narrows Bridge Collapsed

Wind can be one of the most critical and complicated loads on civil structures. The case of the Tacoma Narrows bridge is a well-known cautionary tale that’s discussed in engineering and physics classrooms across the world. Both resonance from vortex shedding and aeroelastic flutter contributed to the failure. When you push the envelope, you have to be vigilant because things that didn’t matter before start to become important (e.g. wind loads on lighter structures). Unanticipated challenges are a cost of innovation and that’s something that we can all keep in mind.

Read more about the Tacoma Narrows bridge collapse: (Wikipedia) (WSDOT) (The Constructor) (Simscale Blog)

[drosskamp]

Maximum complexity: how critical software systems create unique and enduring value

Complexity risks create large moats – exemplified by simulation software

A core tenet of my and Magnetic’s investment philosophy is backing complex transformations. For us, this goes beyond simply investing in individual companies or technologies or focusing solely on generating returns. It means funding larger, longer term, needed transformations that change how things are done in critical sectors.

The defining commonalities of these investments are:

They are complex, i.e. deal with intertwined technological and human challenges

They always need transformation, i.e. systems re-design, meaning they follow a strategic scope per company (or group of companies) that vastly exceeds single products or technologies

They take a lot of time

They often face substantial headwinds that make them unattractive at first sight, mostly because of their systemic ambition

There is a very fine line to be drawn between these constellations and moonshot-type, high-technical-risk investing. We are not speculating on outcomes or actual technical feasibility of far-off ideas, we are investing behind system re-design and lasting behavior change. Technical risk might or might not be high (often it is), but complexity always is. That plays a decisive role: when things work, the moat is substantial. In other words, complexity risk drives defensibility.

Mission-critical engineering software

One of those transformations has been in mission-critical software for physical designs. This type of software is an integral technology piece for our world – it covers the design, modeling, validating and simulating of anything from buildings to cities, semiconductors to machines. Gabriella Garcia and Eric Flaningam at Felicis recently covered the industry in a great piece.

Physical design software  is a classic case of complexity: the industry has seen total dominance by a handful of software providers for more than 40 years. Names like Autodesk, Ansys / Synopsys, Altair, Siemens or PTC have been controlling the markets for design and simulation, commanding some of the largest account sizes and highest valuations (and multiples) in all of software. No new entrants have been able to disrupt the technology experience for reasons of complexity: technical barriers, switching risks, human psychology. While technical barriers alone can and will be overcome by upstarts, human dependencies (i.e. customers) and stakeholder system designs (internal processes, dependencies) have created enormous hurdles for new entrants.

Yet, the possible transformation in physical design software is substantial: new entrants could upgrade the entire experience and introduce design collaboration, faster iteration, automation and an expansion of the traditional scope. That is what I have been investing in since leading SimScale’s first (and third) institutional funding round. SimScale remains the only cloud-native contender in simulation, delivering all the capabilities we would expect from modern software.

While SimScale is as complex as any deep tech company, its market constellation presents a tremendous complex transformation opportunity, one that we have been committed to supporting with considerable patience and energy. The payoff potential is off the charts: Gabriella and Eric call it the “only moat in SaaS” (though no one in simulation actually is full SaaS, so that prize would fall to SimScale). Such is the beauty of transformations. SimScale alone could be one of the most significant venture opportunities in all of software, driven by a team with the utmost dedication and patience. It gives me great energy to know that similar constellations exist in complex markets like healthcare, defense or financial services.

Complexity moats

So what wisdom can we read into all of this?

For me, it looks like this:

Complexity constellations like physical design software (or defense technologies or healthcare tech) have always been centered on the complete service, not just the software piece — a major differentiation to low-complexity SaaS where the basic software is the central concern (thus “software as a service”). Complete service mostly means highly individualized and fine-tuned total deliveries.

This gives these constellations a much higher total product risk than your standard SaaS: upstarts would have to show that they can deliver at the same (or better) total product quality to an incumbent, on all accounts, from features to actual technical results or outputs. This is the opposite of other software domains; obviously MVPs are not an option to begin with.

By definition, this is a vastly different standard than simple cloud software or point technology (or even modern AI service deliveries) as failure tolerances are zero and delivery expectations at 100%. It also goes against conventional disruption theory which used to rely on a "good enough" product to disrupt inert incumbents.

It also needs significantly longer time horizons to get to gold. But the patient entrepreneur is rewarded by real, enduring, systemic moats for those who succeed.

So this is where complexity risk therefore leads us:

💾 Low complexity risk —> simple software (or technology) provision often is enough —> low moat (and fast replacement or commoditization)

🤖 High complexity risk —> total service provision and quality are key —> high and enduring moat

This simple framework helps me to navigate such constellations, irrespective of sector or technology. It also helps to avoid falling into technology traps (difficult technology risks with little complexity in their markets) that we often see. Ultimately, it is the system that matters for true and lasting value.

It also turns conventional venture wisdom around. We used to assume that modern software comes with low technical risk and high market risk; we knew what could be built but we didn't know who would buy it. Complex transformations are different: they carry high technical risk AND high market risk. Thus, it’s a natural consequence that substantial moats follow those that succeed. This ultimately makes them worthwhile pursuits, even if the playbook and determination are vastly different.

We will keep funding transformation in critical and complex industries. If you are building, reach out to me: dr_at_mgntc.com

[mystudentai]

Revolutionizing Education AI Tools Redefining Student Learning

In recent years, artificial intelligence (AI) has made significant strides in transforming various industries, and education is no exception. With the development of advanced AI tools, the landscape of student learning has been redefined, offering new opportunities for personalized and efficient education. In this article, we will explore the best AI tools for students across different educational levels, from general education to specialized fields like engineering and graduate studies.

Best AI Tools for Students

Personalized Learning Platforms

AI-powered personalized learning platforms have revolutionized the way students engage with educational content. These platforms use algorithms to analyze students' learning patterns, strengths, and weaknesses, allowing for Ai Tools for Students. For example, platforms like Khan Academy and Coursera leverage AI to recommend specific courses and learning materials based on individual student progress and preferences.

Intelligent Tutoring Systems

Intelligent tutoring systems (ITS) are AI tools designed to provide personalized guidance and support to students. These systems use machine learning algorithms to adapt to students' learning styles and pace, offering targeted feedback and assistance. ITS can be particularly beneficial for students struggling with complex subjects or those seeking advanced challenges. Some notable ITS include Carnegie Learning and DreamBox Learning.

Best AI Tools for Engineering Students

Virtual Laboratories

For engineering students, virtual laboratories powered by AI technology offer immersive learning experiences without the need for physical equipment. These virtual labs simulate real-world scenarios and experiments, allowing students to practice skills and conduct experiments in a risk-free environment. Tools like Labster and SimScale provide AI-driven simulations for various engineering disciplines, enhancing hands-on learning opportunities.

Code Analysis and Debugging Tools

AI-driven code analysis and debugging tools are invaluable for engineering students studying computer science and software development. These tools use machine learning algorithms to analyze code, identify errors, and suggest optimizations. For instance, tools like Kite and DeepCode help students improve their coding skills and produce high-quality software projects.

Best AI Tools for Graduate Students

Research Assistance Platforms

AI-powered research assistance platforms are Helpful Ai Tools for Students highly beneficial for graduate students engaged in academic research and writing. These platforms utilize natural language processing (NLP) algorithms to analyze vast amounts of academic literature, extract key insights, and generate relevant content. Tools like Grammarly and Copyscape assist graduate students in writing plagiarism-free papers and improving overall writing quality.

Data Analysis and Visualization Tools

For graduate students involved in data-intensive fields like statistics, data science, and social sciences, AI-driven data analysis and visualization tools are indispensable. These tools use AI algorithms to process large datasets, uncover patterns, and generate insightful visualizations. Platforms such as Tableau and IBM Watson Analytics empower graduate students to derive meaningful conclusions from data and communicate findings effectively.

The integration of AI tools in education has ushered in a new era of student learning, offering personalized experiences, advanced simulations, and efficient research support. From personalized learning platforms to virtual laboratories and research assistance tools, AI technology is redefining the educational landscape for students across various disciplines and academic levels. As AI continues to evolve, its impact on education is expected to grow, providing students with enhanced learning opportunities and preparing them for success in the digital age.

[erasamuel]

Global Cloud Based Simulation Application Market to Scale New Heights as Global Cloud Based Simulation Application Market Players Focus on Innovations 2022 – 2027

Advance Market Analytics released a new market study on Global Cloud Based Simulation Application Market Research report which presents a complete assessment of the Market and contains a future trend, current growth factors, attentive opinions, facts, and industry validated market data. The research study provides estimates for Global Cloud Based Simulation Application Forecast till 2027*.

Simulation is the analysis of the product before production to ensure and study the computer model of the product in order to avoid wastage of material and manpower in the prototyping of products. Advancement in cloud-based technology for the industrial sector is catching the eye of manufacturers to go for the betterment of organization with a safe and secure flow of processes. Rise in demand of Cloud-based simulation Application in Industry And increasing amount of Modeling And Simulation (M&S) practitioners to perform their simulations in the cloud is making the key players in the market of to focus and put efforts to provide better services with customized solutions and this is guiding the Cloud-based simulation Application Market towards the promising growth.

Key Players included in the Research Coverage of Cloud Based Simulation Application Market are ANSYS Inc. (United States)

Autodesk Inc. (United States)

Dassault Systemes (France)

Exa Corporation (United States)

Fieldscale (Greece)

MSC Software (United States)

Rescale Inc. (United States)

Siemens PLM Software (United States)

SimCore Technologies (United States)

SOASTA Inc. (United States)

SimScale (Germany) What's Trending in Market: Cloud Based Simulation Applications Is Trending With Healthcare Sector to Display Highest Growth Rate in the Market

Challenges: Organizational Dependency on Internet Networks

Transformations of the User Base with the Monetization of Users

Opportunities: Research and Development in Technology-Based Solutions

Improvement in Workload Performance Delivery

Advancement of Integrated Management Approach Administration

Market Growth Drivers: Growing Demand For Cloud Based Simulation Applications In The Manufacturing Sector

Improving Industry Standard Concerns For Multiplatform Functionality In Most Of Organizations

Increasing Need Of Security Of Data And Ease In Industrial Automation

The Global Cloud Based Simulation Application Market segments and Market Data Break Down by Type (Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS)), Application (Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Human Resource Management (HRM), Supply Chain Management (SCM), Other), Function (Dynamic (continuous-time operative) simulation, Discrete-event simulation, Hybrid simulation applications), End User (Small & Medium Businesses (SMBS), Large Enterprises, Others) To comprehend Global Cloud Based Simulation Application market dynamics in the world mainly, the worldwide Cloud Based Simulation Application market is analyzed across major global regions. AMA also provides customized specific regional and country-level reports for the following areas. • North America: United States, Canada, and Mexico. • South & Central America: Argentina, Chile, Colombia and Brazil. • Middle East & Africa: Saudi Arabia, United Arab Emirates, Israel, Turkey, Egypt and South Africa. • Europe: United Kingdom, France, Italy, Germany, Spain, Belgium, Netherlands and Russia. • Asia-Pacific: India, China, Japan, South Korea, Indonesia, Malaysia, Singapore, and Australia. Presented By

AMA Research & Media LLP

[fuckyeahfluiddynamics]

For pedestrians, windy conditions can be uncomfortable or even downright dangerous. And while you might expect the buildings of an urban environment to protect people from the wind, that’s not always the case. The image above shows a simulation of ground-level wind conditions in Venice on a breezy day. While many areas, shown in blue and green, have lower wind speeds, there are a few areas, shown in red, where wind speeds are well above the day’s average. This enhancement often occurs in areas where buildings constrict airflow and funnel it together. The buildings create a form of the Venturi effect, where narrowing passages cause local pressure to drop, driving an increase in wind speed. Architects and urban designers are increasingly turning to numerical simulations and CFD to study these effects in urban environments and to search for ways to mitigate problems and keep pedestrians safe. (Image credits: CFD analysis - SimScale; pedestrians - Saltysalt, skolnv)

This post was sponsored by SimScale, the cloud-based simulation platform. SimScale offers a free Community plan for anyone interested in trying CFD, FEA and thermal simulations in their browser. Sign up for a free account here. 

For information on FYFD’s sponsored post policy, click here.

[amrselim]

SimScale Simulation Software Engineering in the Cloud عربي تاكد انك مشترك في القناة 💯 ومفعل الجرس عشان يوصلك كل جديد 🔔 وما تنساش تعمل لايك للفيديو 👍 SimScale: Simulation Software | Engineering in the Cloud https://bit.ly/2PYdWhK SimScale is a full-cloud CAE simulation software that helps you perform CFD, FEA, and thermal simulations for CAD models in the cloud. You visited this page on 3/11/21. شير مشاركة #BIMarabia اشترك في القناة لمتابعة الشروحات الجديدة videos https://www.youtube.com/channel/UCZYaOLTtPmOQX1fgtDFW52Q?sub_confirmation=1 بيم ارابيا https://bit.ly/1TSqEbr Places to find me! https://bit.ly/OcqQ6x https://bit.ly/2nqASDv Wordpress: https://bit.ly/SsszPw Instagram: https://bit.ly/2JY3wZP Twitter: https://twitter.com/BIMarabia March 12, 2021 at 03:44PM by BIMarabia

[themakersmovement]

SimScale closes €27 million funding round to expand CAE platform SimScale, a German software as a service (SaaS) company, has closed a €27 million series C funding round led by Insight Partners to accelerate the expansion of its cloud-based computer-aided engineering (CAE) platform. “SimScale’s platform has minimized the barriers that prevented many engineering firms from using or scaling simulation,” said Joshua Fredberg, CAE software veteran […] https://buff.ly/2OcbMHk

[ralfsteck]

Simulation in der Cloud ist mehr als nur Simulation

Simulation in der Cloud ist mehr als nur Simulation

Wenn sich in der Geschichte der Simulation die Richtung geändert hat, dann war es die Wende hin zur Massentauglichkeit. Früher war Simulation eine äußerst komplizierte Angelegenheit. In einem Unternehmen gab es dafür vielleicht nur einen einzigen besonders fähigen Dr.-Ing., der vor einem Hochleistungsrechner mit einer komplexen Software saß, also an einem System arbeitete, das Zehntausende, wenn…

[societyresource]

Why 2017 is the Fastest in F1 History

Why 2017 is the Fastest in F1 History

The first 400 people to use this link will get a 2 month free trial of skillshare: http://skl.sh/realengineering Listen to our new podcast at: Showmakers YouTube channel at: https://goo.gl/Ks1WMp Itunes: https://itun.es/us/YGA_ib.c RSS and Libsyn Audio is available on our site: https://www.showmakers.fm/ Check out the Simscale Simulation here: https://goo.gl/mvha3K Footage Courtesy of: Formula 1:…

[richrdjones]

Finite Element Analysis: The Essential 10 Courses You Can't-Miss

Welcome to the world of Finite Element Analysis (FEA), a critical component of mastering Solidworks. As aspiring engineers and designers, it's essential to have a solid foundation in FEA to ensure your designs are not just aesthetically pleasing but also structurally sound. In this comprehensive guide, we'll explore the top 10 resources for Solidworks courses that will elevate your understanding of Finite Element Analysis. At the forefront of these resources is SolidworksAssignmentHelp.com, a platform dedicated to providing expert assistance with Finite Element Analysis assignments.

SolidworksAssignmentHelp.com: When it comes to seeking help with Finite Element Analysis assignments, SolidworksAssignmentHelp.com stands out as a reliable and comprehensive resource. This platform offers expert guidance and assistance to students grappling with the complexities of FEA. The team of seasoned professionals ensures that students not only complete their assignments successfully but also gain a deeper understanding of the concepts involved. The keyword "Help with Finite Element Analysis Assignment" resonates well with the platform's commitment to aiding students in mastering this crucial aspect of Solidworks.

SolidProfessor: SolidProfessor is an excellent online learning platform that provides a variety of Solidworks courses, including in-depth coverage of Finite Element Analysis. With a structured curriculum and engaging video tutorials, SolidProfessor offers a comprehensive learning experience. Their courses cover everything from the basics to advanced FEA techniques, making it an ideal resource for students looking to enhance their skills.

LinkedIn Learning: Formerly known as Lynda.com, LinkedIn Learning is a vast repository of online courses, including a plethora of Solidworks tutorials. The platform offers courses on Finite Element Analysis, allowing learners to delve into the intricacies of structural analysis and simulation. The courses are presented by industry experts, ensuring high-quality content and practical insights.

Coursera - Finite Element Analysis with Solidworks: Coursera, a popular online learning platform, collaborates with top universities and organizations to offer specialized courses. The Finite Element Analysis with Solidworks course on Coursera is designed to provide a hands-on learning experience. Through a combination of video lectures, quizzes, and projects, this course is perfect for students seeking a structured and interactive approach to FEA.

Udemy - Solidworks Simulation: Dynamic Analysis: Udemy is renowned for its diverse range of courses, and the "Solidworks Simulation: Dynamic Analysis" course is no exception. Taught by industry professionals, this course focuses on dynamic analysis within Solidworks Simulation. Students can expect to gain practical insights into simulating real-world scenarios, making it an invaluable resource for those looking to master FEA.

GrabCAD Workbench: GrabCAD Workbench is a collaborative platform that not only facilitates file sharing but also provides a learning environment for Solidworks enthusiasts. The Workbench hosts a variety of tutorials and resources related to Finite Element Analysis, allowing users to access valuable insights and tips shared by the community.

SimScale: SimScale is a cloud-based simulation platform that offers a range of simulation tools, including Finite Element Analysis. While it goes beyond Solidworks, SimScale's user-friendly interface and extensive documentation make it a valuable resource for those seeking hands-on experience with FEA simulations.

SolidWorks Tutorials on YouTube: YouTube remains an excellent source for free educational content, and Solidworks tutorials are no exception. Numerous channels, such as SolidWorks Tutorial, provide step-by-step guides on Finite Element Analysis within Solidworks. These videos offer a visual and practical approach, complementing traditional learning methods.

SolidWorks Help Documentation: Often overlooked but immensely valuable, Solidworks' official help documentation is a comprehensive resource for understanding the software's features, including Finite Element Analysis. The documentation includes detailed explanations, examples, and best practices, serving as a go-to reference for users at all skill levels.

Solidworks Community Forums: Engaging with the Solidworks community through forums such as SolidWorks Forums and Reddit's r/SolidWorks can provide additional support and insights. Users often share their experiences, tips, and troubleshooting advice related to Finite Element Analysis, creating a collaborative space for learning.

Conclusion: Mastering Finite Element Analysis in Solidworks is a rewarding journey that requires dedication, practice, and access to quality resources. Help with Finite Element Analysis Assignment.com takes the lead in providing expert assistance, ensuring that students not only complete their assignments successfully but also grasp the intricacies of FEA. By combining this resource with other reputable platforms, online courses, and community engagement, aspiring designers and engineers can build a robust foundation in Finite Element Analysis, propelling them toward success in the dynamic world of Solidworks.

[mystudentai]

Revolutionizing Education AI Tools Redefining Student Learning

In recent years, artificial intelligence (AI) has made significant strides in transforming various industries, and education is no exception. With the development of advanced AI tools, the landscape of student learning has been redefined, offering new opportunities for personalized and efficient education. In this article, we will explore the best AI tools for students across different educational levels, from general education to specialized fields like engineering and graduate studies.

Best AI Tools for Students

Personalized Learning Platforms

AI-powered personalized learning platforms have revolutionized the way students engage with educational content. These platforms use algorithms to analyze students' learning patterns, strengths, and weaknesses, allowing for Ai Tools for Students. For example, platforms like Khan Academy and Coursera leverage AI to recommend specific courses and learning materials based on individual student progress and preferences.

Intelligent Tutoring Systems

Intelligent tutoring systems (ITS) are AI tools designed to provide personalized guidance and support to students. These systems use machine learning algorithms to adapt to students' learning styles and pace, offering targeted feedback and assistance. ITS can be particularly beneficial for students struggling with complex subjects or those seeking advanced challenges. Some notable ITS include Carnegie Learning and DreamBox Learning.

Best AI Tools for Engineering Students

Virtual Laboratories

For engineering students, virtual laboratories powered by AI technology offer immersive learning experiences without the need for physical equipment. These virtual labs simulate real-world scenarios and experiments, allowing students to practice skills and conduct experiments in a risk-free environment. Tools like Labster and SimScale provide AI-driven simulations for various engineering disciplines, enhancing hands-on learning opportunities.

Code Analysis and Debugging Tools

AI-driven code analysis and debugging tools are invaluable for engineering students studying computer science and software development. These tools use machine learning algorithms to analyze code, identify errors, and suggest optimizations. For instance, tools like Kite and DeepCode help students improve their coding skills and produce high-quality software projects.

Best AI Tools for Graduate Students

Research Assistance Platforms

AI-powered research assistance platforms are Helpful Ai Tools for Students highly beneficial for graduate students engaged in academic research and writing. These platforms utilize natural language processing (NLP) algorithms to analyze vast amounts of academic literature, extract key insights, and generate relevant content. Tools like Grammarly and Copyscape assist graduate students in writing plagiarism-free papers and improving overall writing quality.

Data Analysis and Visualization Tools

For graduate students involved in data-intensive fields like statistics, data science, and social sciences, AI-driven data analysis and visualization tools are indispensable. These tools use AI algorithms to process large datasets, uncover patterns, and generate insightful visualizations. Platforms such as Tableau and IBM Watson Analytics empower graduate students to derive meaningful conclusions from data and communicate findings effectively.

The integration of AI tools in education has ushered in a new era of student learning, offering personalized experiences, advanced simulations, and efficient research support. From personalized learning platforms to virtual laboratories and research assistance tools, AI technology is redefining the educational landscape for students across various disciplines and academic levels. As AI continues to evolve, its impact on education is expected to grow, providing students with enhanced learning opportunities and preparing them for success in the digital age.

[marketinsightshare]

#Simulation Software Market - Industry Analysis, Market Size, Share, Trends,Application Analysis, Growth and Forecast 2021 - 2026

Simulation Software Market Size is forecast to reach $20.3 billion by 2026, at a CAGR of 17.0% during 2021-2026. Adoption of simulation software in aerospace, defense and automobile industries with the development of modern aircraft, autonomous and electric vehicles boost the simulation software market growth. In addition to these, process simulation software is also used in designing or creating Internet of Things (IoT) devices and apps.

High adoption of simulation software for modeling and simulation in the development of industrial products is set to drive industry 4.0. Similarly, growing developments by various companies is analyzed to drive the market growth. In 2020, Desktop Metal had launched Live Sinter simulation software for powder metallurgy-based manufacturing processes. Further, entry of new players in developed and developing economies will further enhance the overall market demand for Simulation Software during the forecast period 2021-2026.

Report Coverage

The report: “Simulation Software Market – Forecast (2021-2026)”, by IndustryARC covers an in-depth analysis of the following segments of the Simulation Software market

By Deployment Mode : Cloud, On-Premises

By Type : Software (Finite Element Analysis, Computational Fluid Dynamics, Electromagnetic Waves and Others) Services (Design & Consulting, Support & Maintenance, E-Learning & Training, Research & Development)

By Vertical : Automobile, Aerospace & Defense, Electrical & Electronics, Industrial Manufacturing, Healthcare, Education & Research, Others.

By Geography: North America (U.S, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Russia, Netherlands and Others), APAC(China, Japan India, SK, Australia, Indonesia and Others), South America(Brazil, Argentina, Chile, Colombia and others), and RoW (Middle East and Africa).

Key Takeaways

Simulation Software market in North America region held significant market share of 34% in the forecast period. Early adoption of advanced technologies in aerospace, defense and others has been increasing the demand for simulation software.

Cloud deployment is growing at a highest CAGR of 20.3% in the forecast period owing to its operational flexibility and real-time deployment ease to companies compared to on-premises deployment.

Automotive sector is expected to witness a highest CAGR of 21.2% the forecast period. Increasing focus on R&D activities and rapid technological changes owing to the changing government norms for vehicle safety are projected to drive the market.

Simulation Software top 10 companies include Altair Engineering, Ansys, Autodesk, Bentley Systems, CPFD Software, Cybernet, Dassault Systems, Design Simulation Technologies, Mathworks, PTC, Siemens PLM Software among others.

Simulation Software Market, By Deployment Model, 2020 (%)

For More Details on This Report - Request for Sample

Simulation Software Market Segment Analysis - By Deployment

Cloud deployment is growing at a highest CAGR of 20.3% in the forecast period owing to its operational flexibility and real-time deployment ease to companies compared to on-premises deployment. It also offers numerous benefits, including reduced operational costs, simple deployment process, and higher scalability in terms of connected resources. Additionally, the cost-effective cloud-based solutions ease installation when compared to the on-premises solutions. The highest level of data security and reliability offered by the cloud deployment are increasing the share of this deployment in the forecast period.

Several companies are providing solutions related to this deployment. For instance SimScale is a full-cloud CAE simulation software that helps to perform CFD, FEA, and thermal simulations for CAD models in the cloud. Similarly, AnyLogi? Cloud is a cloud-based simulation tool that allows users to run simulation models such as Finite Element Analysis and Computational Fluid Dynamics online using just a web browser and share them. Hence these benefits are analysed to drive the market growth in the forecast period 2021-2026.

Simulation Software Market Segment Analysis - By Vertical

Automotive sector is expected to witness a highest CAGR of 21.2% the forecast period. Increasing focus on R&D activities and rapid technological changes owing to the changing government norms for vehicle safety are projected to drive the market. With increasing connectivity and digitalization, OEMs are focusing on improving cybersecurity over connected vehicles & devices, which is expected to drive the automotive simulation market for software such as Finite Element Analysis and Computational Fluid Dynamics. Along with cybersecurity, rapid infrastructure development and advancements in 5G technology companies such as Nvidia, IPG automotive and so on are collaborating with several global companies for advancements in these simulation software.

In 2019, Nvidia had partnered with Toyota for autonomous vehicle simulation platform drive constellation, the cloud-based platform. This platform would enable the self-driving car developers to run tests on virtual, rather than real roads. In 2018, IPG Automotive signed a partnership agreement with Transpolis SAS to develop innovative solutions in the field of large-scale simulation. Hence these factors are anticipated to fuel the growth of the simulation software market in the forecast period 2021-2026.

Simulation Software Market Segment Analysis - By Geography

Simulation Software market in North America region held significant market share of 34% in the forecast period. Early adoption of advanced technologies in aerospace, defense and other has been increasing the demand for simulation software. In addition, the governments in the North American region are constantly focusing on innovation and investment for a greener work environment. The regulations associated with the eco-friendly work environment are becoming stringent in the region and as a result, companies are adopting simulators to test product viability before manufacturing.

In U.S. strict guidelines imposed by the Federal Aviation Administration (FAA) and Federal Aviation Regulations (FARs) regarding use of simulators for training purpose. According to new FAR regulations, Air carriers must compulsorily develop training programs using simulators that meet the upgraded requirements. Stringent regulations as such will drive the usage of simulators thereby driving simulation software in this region. According to U.S. Department of Defense, by 2022, U.S Military had committed to invest more than $11 billion for virtual, augmented and mixed reality training systems and simulator. Hence these factors drive the market growth in the forecast period 2021-2026.

Simulation Software Market Drivers

Growing advancements in simulation software

Simulation software companies are strengthening their position through mergers & acquisitions and continuously investing in research and development (R&D) activities to come up with solutions to cater to the changing requirements of customers. In addition companies such as Siemens, Rockwell, Ansys, and so on are planning to invest in advanced technologies such as artificial intelligence with a target to provide cost competitive Finite Element Analysis and Computational Fluid Dynamics products in the market in the forecast period.

In 2020 Ansys Inc. entered into a definitive agreement to acquire Lumerical Inc., which is a leading developer of photonic design and simulation tools. The acquisition will add a wide range of photonics products to the Ansys Multiphysics portfolio, providing customers with a full set of solutions to solve its next-generation product challenges.

In 2019, Altair Engineering Inc. launched a new manufacturing simulation solution for additive manufacturing, Inspire Print3D. The solution is aimed explicitly at selective laser melting (SLM).

In 2020, Kumux has launched the 2.0 version of its spectral simulation software, which allows the creation of differential lighting, beneficial to people’s health and plant growth.

In 2018, Simufact Engineering, an MSC Software company and expert in manufacturing process simulation, had launched Simufact Additive software solution for the simulation of metal additive manufacturing processes. Hence these advancements are analyzed to drive the market growth in the forecast period 2021-2026.

Growing adoption of simulation software among aerospace & defense

The aerospace & defense industry has been one of the major end users of simulation as they use modelling and simulation for numerous purposes including, training of individual soldiers, conducting joint training operations, formulating operational plans, developing doctrine and tactics, and analyzing alternative force structures, Finite Element Analysis and Computational Fluid Dynamics.

The technology fulfills critical defense needs of command, control, and communications; manpower, personnel, and training; computing and software; electronics; and manufacturing technology. These defense models and simulations vary in a broad range from components of large weapons systems through system-level to simulations of missions and battles, and so forth. Such significant applications are the major factors driving the growth of the global market in these industries.

Simulation Software Market Challenges

Data security is the major challenge for simulation software

One of the major challenges in Simulation Software is data security. Investment in data security to avoid simulation attacks is one of the major challenges faced by the simulation software companies. Simulated attacks might send fake phishing attacks to employees or attempt cyber-attack on a company’s web application firewall. High investment into data security is the major challenge companies which is hampering the growth of the market. However, the introduction of many cybersecurity tools at affordable prices is set to invest in simulation software, thereby driving the market growth.

Simulation Software Market Landscape

Software launches, acquisitions, Partnerships and R&D activities are key strategies adopted by players in the Simulation Software market. In 2020, the market of Simulation Software industry outlook has been fragmented by several companies. Simulation Software top 10 companies include Altair Engineering, Ansys, Autodesk, Bentley Systems, CPFD Software, Cybernet, Dassault Systems, Design Simulation Technologies, Mathworks, PTC, Siemens PLM Software among others.

Acquisitions/Software Launches

In 2020, PTC, Inc. launched a 3D computer-aided design software named as Creo 7.0. This software has the new abilities to put the power of artificial intelligence at the fingertips of the designers, hence making the simulation a unified part of the daily work.

[credibleauomotive]

Simulation & Analysis Software Market Comprehensive Research Study, Regional Growth, Business Top Key Players Analysis

Global Simulation & Analysis Software Market report emphasizes on the detailed understanding of some decisive factors such as size, share, sales, forecast trends, supply, production, demands, industry and CAGR in order to provide a comprehensive outlook of the global market. Additionally, the report also highlights the challenges impeding market growth and expansion strategies employed by leading companies in the “Simulation & Analysis Software Market”.

Global Simulation & Analysis Software Market research report analyzes top players in the key regions like North America, South America, Middle East and Africa, Asia and Pacific region. It delivers insight and expert analysis into key consumer trends and behavior in market place, In addition to an overview of the market data and key brands. It also provides all data with easily digestible information to guide every businessman’s future innovation and move business ahead.

Global Simulation & Analysis Software Market Segmentation Analysis:

Major Players in Simulation & Analysis Software market are: Dassault Systèmes SE CPFD Software LLC Bentley Systems The MathWorks, Inc COMSOL AB Autodesk, Inc Incorporated, Exa Corporation. SimScale GmbH ANSYS, Inc SYNOPSYS, INC. Design Simulation Technologies. Texas Instruments Incorporated Siemens PLM Software Altair Engineering, Inc ESI Group Most important types of Simulation & Analysis Software products covered in this report are: Finite Element Analysis Electromagnetic (FEA) Computational Fluid Dynamics (CFD) Electromagnetic (EMAG) Most widely used downstream fields of Simulation & Analysis Software market covered in this report are: Automotive Aerospace & Defense Electrical and Electronics Others

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Simulation & Analysis Software Market, By Geography:

The regional analysis of Simulation & Analysis Software market is studied for region such as Asia pacific, North America, Europe and Rest of the World. The North America is one of the leading region in the market due to numerous cross industry collaborations taking place between automotive original equipment manufacturers and mobile network operators (MNOs) are taking place for continuous internet connectivity inside a car to enhance the user experience of connected living, while driving. Asia-Pacific region is one of the prominent player in the market owing to large enterprises and SMEs in the region are increasingly adopting Simulation & Analysis Software solutions.

Some Points from Table of Content

Global Simulation & Analysis Software Market 2022 by Company, Regions, Type and Application, Forecast to 2030

1 Simulation & Analysis Software Introduction and Market Overview

2 Industry Chain Analysis

3 Global Simulation & Analysis Software Market, by Type

4 Simulation & Analysis Software Market, by Application

5 Global Simulation & Analysis Software Consumption, Revenue ($) by Region (2018-2022)

6 Global Simulation & Analysis Software Production by Top Regions (2018-2022)

7 Global Simulation & Analysis Software Consumption by Regions (2018-2022)

8 Competitive Landscape

9 Global Simulation & Analysis Software Market Analysis and Forecast by Type and Application

10 Simulation & Analysis Software Market Supply and Demand Forecast by Region

11 New Project Feasibility Analysis

12 Expert Interview Record

13 Research Finding and Conclusion

14 Appendix 

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Reasons to Purchase this Report

Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors

Provision of market value (USD Billion) data for each segment and sub-segment

Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market

Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region

Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled

Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players

The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions

Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis

Provides insight into the market through Value Chain

Market dynamics scenario, along with growth opportunities of the market in the years to come

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