What are the recent trends in market size and growth for the model based enterprise market?
The model based enterprise market size has grown rapidly in recent years. It will grow from $19.32 billion in 2024 to $22.77 billion in 2025 at a compound annual growth rate (CAGR) of 17.9%. The growth in the historic period can be attributed to the integration of digital twin technology into manufacturing processes, industry 4.
The model based enterprise market size is expected to see rapid growth in the next few years. It will grow to $43.45 billion in 2029 at a compound annual growth rate (CAGR) of 17.5%. The growth in the forecast period can be attributed to the expansion of the Internet of Things (IoT) ecosystems enabling data integration, greater emphasis on cross-functional collaboration across supply chains, growing demand for agile manufacturing strategies, the rise of augmented reality (AR) and virtual reality (VR) applications in product development and shift towards cloud-based platforms for collaboration and scalability. Major trends in the forecast period include increased adoption of model-based systems engineering (MBSE) practices, integration of blockchain technology for enhanced data security and traceability, the emergence of digital thread concepts for end-to-end visibility, continuous evolution towards autonomous and self-optimizing manufacturing systems and advancements in artificial intelligence (AI) for enhanced predictive analytics.
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What have been the primary factors driving the model based enterprise market’s growth?
Increasing adoption of cloud-based platforms is expected to propel the growth of the model based enterprise (MBE) market going forward. A cloud-based platform refers to an online infrastructure that provides access to computing resources and services on demand via the Internet. The adoption of cloud-based platforms is on the rise due to their scalability, cost-efficiency, accessibility, and ability to support remote work and digital transformation initiatives effectively. Cloud-based platforms are integral to model-based enterprise (MBE) as they facilitate seamless collaboration, data accessibility, and scalability for digital product development and lifecycle management. For instance, in December 2023, according to Eurostat, a Luxembourg-based intergovernmental organization, 45.2% of EU enterprises purchased cloud computing services, mostly to host their email systems, store electronic files, and accomplish other tasks. Purchases of cloud computing services by EU enterprises increased by 4.2% in 2023 compared to 2021. Therefore, the increasing adoption of cloud-based platforms is driving growth in the model-based enterprise (MBE) market.
What are the key segments within the model based enterprise market?
The model based enterprise market covered in this report is segmented –
1) By Offering: Solutions, Services
2) By Deployment Type: Cloud, On-Premise
3) By Industry: Aerospace, Automotive, Construction, Retail, Power And Energy, Food And Beverages, Life Sciences And Healthcare, Marine, Oil And Gas, Other Industries
Subsegments:
1) By Solutions: Product Lifecycle Management (PLM), Digital Twin Solutions, Simulation And Modeling Software, Enterprise Resource Planning (ERP) Integration, Manufacturing Execution Systems (MES)
2) By Services: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Education Services
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Which key players are shaping the model based enterprise market?
Major companies operating in the model-based enterprise market are Siemens AG, Deloitte Touche Tohmatsu Limited, Cisco Systems Inc., SAP SE, HCL Technologies Limited, Wipro Limited, Dassault Systèmes, Autodesk Inc., ITC Infotech India Ltd., Ansys Inc., PTC Inc., Bentley Systems Incorporated, Anaplan Inc., ATS Global, Dayton T. Brown Inc., iBase-t, Automotive Industry Action Group (AIAG), Aras, CoreTechnologie Group, Lattice Technology Inc., Anark Corporation, TFH technical services
How will emerging trends drive the model based enterprise market throughout the forecast period?
Major companies operating in the model-based enterprise market are focusing on developing advanced technologies, such as Large-Scale Language Models which uses generative AI and language understanding capabilities to interpret user intents, manage workflows. Large-Scale Language Models refer to advanced AI models trained on vast datasets, allowing them to understand, generate, and process human language at a sophisticated level. For instance, in July 2024, ZTE Corporation, a China-based telecommunications equipment and systems company, announced the launch Nebula Telecom Large Model, opening a new paradigm for highly autonomous networks. This large-scale AI model is tailored specifically for the telecom industry, designed to enhance network automation, predictive maintenance, and operational efficiency. The Nebula Model leverages advanced machine learning algorithms and massive datasets to support autonomous network management, which could help telecom operators reduce costs, improve reliability, and provide more adaptive, responsive services to end-users. Its potential for enabling highly autonomous networks (HAN) could drive innovations in 5G, network slicing, and beyond, setting a new standard in telecom automation.
How do regional factors impact the model based enterprise market, and which region is the largest contributor?
North America was the largest region in the model-based enterprise market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the model-based enterprise market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Model Based Enterprise Market Report 2025 Offer?
The model based enterprise market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
A model-based enterprise (MBE) is an approach that leverages digital models to manage all aspects of a product’s lifecycle, from design to manufacturing and beyond. By using comprehensive digital models, MBE enhances collaboration, reduces errors, and streamlines processes across different departments. This integrated methodology improves efficiency and supports better decision-making throughout the enterprise.
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