Cloud Based Simulation Application Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The cloud based simulation application market size has grown strongly in recent years. It will grow from $3.87 billion in 2024 to $4.22 billion in 2025 at a compound annual growth rate (CAGR) of 9%. The growth in the historic period can be attributed to increased data volume, increase of workload patterns, data quality issues, demand for data ingestion rate, infrastructure utilization.

The cloud based simulation application market size is expected to see strong growth in the next few years. It will grow to $5.86 billion in 2029 at a compound annual growth rate (CAGR) of 8.6%. The growth in the forecast period can be attributed to increasing business growth projections, rapid deployment of largescale cloud dataware houses emerging data types, query complexity, increasing adoption of cloud services. Major trends in the forecast period include hybrid cloud data warehousing, advanced data integration, blockchain integration, data mesh architecture, edge-to-cloud data processing, quantum computing impact.

The rising demand for simplicity in industrial automation is anticipated to drive the growth of the cloud-based simulation application market in the coming years. Industrial automation involves using control systems, machinery, and technology to automate industrial tasks and processes, thereby reducing the need for human involvement. This push for simplicity in industrial automation aims to support operational resilience, adhere to regulatory standards, protect intellectual property, enable remote access, and facilitate the integration of operational technology (OT) and information technology (IT) systems. Cloud-based simulation applications provide industrial organizations with the flexibility, scalability, accessibility, and innovation needed to speed up development, optimize processes, and foster continuous improvement in automation systems. For example, as of October 2024, data from the International Federation of Robotics, a Germany-based non-profit, showed that the number of industrial robots in operation worldwide surpassed 4.2 million units in 2023, a 10% increase from the previous year. New annual installations of industrial robots also reached 541,302 units in 2023, sustaining a record high for the third year in a row, reflecting the sustained demand for automation.

Key market players are addressing this demand by introducing virtual development environments such as AI Workbench. AI Workbench, a comprehensive platform or toolkit, facilitates the development, deployment, and management of artificial intelligence (AI) and machine learning (ML) projects. For example, Renesas Electronics Corporation's December 2023 rollout of AI Workbench offers automotive AI engineers an integrated virtual development environment, empowering them to design, simulate, and optimize automotive software within the cloud. Leveraging Microsoft Azure services, engineers can conduct tasks such as performance evaluation, debugging, and verification using simulation tools online, eliminating the need for extensive hardware setups.

In April 2022, Ansys strengthened its foothold in cloud-based simulation by acquiring OnScale. This strategic acquisition equips Ansys with a cloud-native, web-based user interface (UI) for seamless access to its simulation technologies across devices, enhancing accessibility and usability. OnScale's cloud engineering simulation capability enables engineers to tackle complex mechanical and 3D structures through its cloud-based design environment, complementing Ansys' offerings and solidifying its position in the cloud-based simulation application market.

Major companies operating in the cloud data warehouse market are Google LLC, Microsoft Corporation, Amazon Web Services, International Business Machines Corporation, Oracle Corporation, SAP SE, Micro Focus International plc, Veeva Systems Inc., Snowflake Inc., Teradata Corporation, Cloudera Inc., DataRobot Inc., MarkLogic Corporation, Actian Corporation, Yellowbrick Data Inc., AtScale Inc., Qubole Inc., Firebolt Labs Ltd., SingleStore Inc., Pivotal Software Inc., Solver Software Pty. Ltd., Cazena Inc., Accur8 Software Inc., Panoply Ltd., Netavis Software GmbH.

North America was the largest region in the cloud based simulation application market in 2024. The regions covered in the cloud based simulation application market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the cloud based simulation application market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The cloud-based simulation application market consists of revenues earned by entities by providing services such as simulation modelling, simulation execution, visualization, integration, and security. The market value includes the value of related goods sold. The cloud-based simulation application market also includes sales of virtual machines, high-performance servers, processors, security hardware and networking infrastructure. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

A cloud-based simulation application is a software tool or platform that allows users to create, execute, and analyze simulations using cloud computing infrastructure. Rather than installing the software on local computers or servers, users access the simulation application over the internet, utilizing remote servers and resources provided by a cloud service provider. This approach offers scalability, flexibility, and accessibility, allowing users to conduct simulations from anywhere with an internet connection without the need for extensive local computing resources.

The main types of cloud-based simulation applications include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS involves accessing software over the internet, where users pay for subscriptions rather than purchasing the software outright. It finds applications in various industries such as manufacturing, media and entertainment, construction, automotive, transportation and logistics, healthcare, defense and aerospace, energy and power, and others. SaaS is utilized for purposes such as training, process improvement, outcome prediction, and risk management.

The cloud based simulation application market research report is one of a series of new reports that provides cloud based simulation application market statistics, including cloud based simulation application industry global market size, regional shares, competitors with a cloud based simulation application market share, detailed cloud based simulation application market segments, market trends and opportunities, and any further data you may need to thrive in the cloud based simulation application industry. This cloud-based simulation application market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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