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Model-Based Enterprises Market Share, Growth and Forecast Report, 2030

The global model-based enterprises (MBE) market is projected to witness significant expansion, reaching an estimated USD 32.1 billion by 2030 from USD 13.9 billion in 2024, at a robust CAGR of 15.0%.

This remarkable growth is driven by organizations’ ongoing efforts to meet evolving customer expectations by leveraging innovative, digitized design and manufacturing processes. The MBE approach revolutionizes traditional engineering by introducing digital 3D models that serve as the central source of information throughout a product’s lifecycle—streamlining operations, enhancing collaboration, and reducing costly errors.

The rise of industries that prioritize quality and safety—such as aerospace, defense, and automotive—is also propelling the adoption of MBE methodologies. The increasing number of industrial enterprises globally further strengthens market momentum. For instance, as of December 2023, over 21.5 million micro, small, and medium enterprises (MSMEs) were registered in India alone. These businesses, driven by the need for agility and efficiency, are embracing model-based frameworks to optimize operations and maintain competitiveness. Moreover, supportive government policies, especially in Asia-Pacific and North America, are accelerating the digital transformation journey, enabling businesses to adopt MBE solutions on a wider scale.

Key Insights

The design model segment dominates the market in 2024 with a 40.0% share, attributed to the widespread use of 3D CAD models across industries. These models serve as a comprehensive product definition tool, replacing traditional 2D blueprints and forming the foundation for model-based engineering and manufacturing practices.

The aerospace and defense industry leads both in size and growth rate among end users, accounting for 35% of the market share in 2024. This sector’s complexity, regulatory rigor, and early adoption of digital technologies have made it a key proponent of MBE adoption, especially in enhancing lifecycle management and product innovation.

Asia-Pacific is forecasted to be the fastest-growing region during the forecast period, with a CAGR of 15.5%. This growth is fueled by rapid industrialization, increasing technological investments, and rising support from regional governments, including incentives for local manufacturing and innovation-driven reforms.

North America remains the largest regional market due to the early adoption of Industry 4.0 principles, significant investments in digital transformation, and the presence of key players such as Boeing, PTC Inc., and Dassault Systèmes.

The integration of MBE with Industry 4.0 is a defining trend, with governments like that of the U.S. investing USD 1 billion into research and development for smart manufacturing technologies, including AI and quantum information systems. This strategic move is accelerating the deployment of smart factories and sustainable production ecosystems.

Technological advancements such as cloud-based MBE platforms, CAD upgrades, AI integration, and IoT deployments are reshaping how businesses implement model-based systems. These innovations enhance interoperability, provide real-time insights, and support seamless collaboration across teams.

The automotive sector is rapidly embracing MBE for its ability to shorten product development cycles, increase design accuracy, and ensure compliance with environmental and safety standards, thereby improving profitability and customer satisfaction.

The market is highly fragmented, featuring a mix of global and regional players. Notable names include Siemens AG, Oracle Corporation, Autodesk Inc., ANSYS Inc., SAP SE, Aras Corporation, HCL Technologies, and Airbus SE. These companies are actively engaging in strategic partnerships, M&As, and R&D to strengthen their market positions.

Emerging trends such as the fusion of quantum computing with MBE are expected to transform design optimization by offering rapid prototyping and multi-concept simulations, especially in high-tech sectors like aerospace and defense.

Despite its benefits, transitioning to MBE poses challenges including cultural shifts, need for employee re-training, and infrastructure investments. Businesses must navigate data management complexities and legacy system limitations during the adoption process.

Overall, the increasing need for precision, regulatory compliance, and operational agility is solidifying MBE’s role as a core pillar of modern digital manufacturing strategies across diverse sectors.

About P&S Intelligence

P&S Intelligence offers custom and syndicated market research and consulting services to clients across the globe. Our team of young and dynamic researchers, guided by mentors with years of experience, create data-rich reports tailored to the needs of MNCs as well as startups and SMEs. We remain in a perennial quest to offer exhaustive insights into every aspect of the market, allowing businesses of all sizes to seize even the smallest of opportunities and tackle even the biggest of challenges.

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APAC Emerges as a Key Driver for Motor Monitoring Growth

Motor Monitoring

According to P&S Intelligence, the motor monitoring market is projected to grow at a CAGR of 7.7% by 2030, reaching a valuation of USD 3,916 million.

On-Premises Deployment Dominates the Market

The on-premises segment has historically led the industry, accounting for 68% of the market share. Organizations widely prefer on-premises motor monitoring solutions due to the complete control they provide over data, ensuring higher privacy and security. Unlike cloud-based systems, on-premises deployment enhances system management and minimizes dependence on external factors like networks, as all data, hardware, and software remain under the organization’s ownership and control. This greater control over sensitive data makes on-premises solutions a popular choice among industries.

Oil & Gas Sector to Experience Significant Growth

The oil & gas sector is anticipated to grow at a CAGR of 8.4% during this period. This industry relies on highly complex systems, where even minor issues such as loosening, misalignment, or bearing wear can cause costly breakdowns with severe financial and environmental consequences. Induction motors play a critical role in oil and gas facilities, as they are versatile and durable, providing the rotational power required by numerous systems in refineries.

APAC to Lead Market Growth

The motor monitoring market in the Asia-Pacific (APAC) region is expected to grow at a CAGR of 8.8% by 2030, driven by rapid industrialization in India and China. India’s manufacturing industry, supported by initiatives like “Make in India,” has become a key growth driver. By 2023, the Indian manufacturing sector was projected to reach a valuation of USD 1,100 billion, setting the stage for a market growth rate of 8.7% by the decade’s end.

China, with its large population and position as a major manufacturing hub, has also witnessed significant investments in infrastructure and power sectors. The Chinese government has pledged USD 78 billion for the construction of 110 nuclear power reactors, set to be operational by 2030. These developments are fueling the adoption of advanced technologies like vibration sensors for condition-based motor monitoring.

Rising Demand for Predictive Maintenance

The increasing need for predictive maintenance solutions is driving the demand for motor monitoring systems. This trend is expected to continue as industries prioritize efficient operations and cost savings through proactive equipment monitoring.

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What are the Applications of Machine Vision?

In the industrial revolution, there was a complete turnaround in the number of industries, and in the manner in which, the industry worked as well. In this world of tech-revolution, the industry processes have improved, if not changed, because of smart technologies like AI and ML. The topic that we will cover in this blog is something, that is seen today in every factory. It is the machine vision technology.

If we talk about machine vision, it is the automatic visual examination of manufactured things with the use of lenses, industrial cameras, and lighting. It is an instantaneous technique of accurate inspection of components. It can analyze each and every item present a high-speed line, warranting a better control of the quality, when a product is being manufactured.

It has the potential to automate more than a few industrial inspections, such as visual inspections for shortcomings and glitches, presence-absence checks, product verifications, actions, and code readings.

Browse detailed report analysis on Machine Vision Industry Trends and Forecast Report, 2030

These are the Applications of Machine Vision

Measurement

Measurement apps are put to use for determining the exact dimensions of items and this is done by locating precise points on a snap and getting geometric measures from it.

Detection of the Object

With regards to machines, component developments are offering improved raw materials, for example a more widespread variety of cameras, which are used for the creation of specific picture capturing solutions, intricate robotics, new lenses, and more.

Detection of Flaws

With the help of the flaw detection software, it is possible to catch hold of the dents, surface flaws, and scratches on the surface of a product This software can separate the faulty products from all the products, that are present on the production belt. AI -based machine vision comes really good for the detection of faulty products from all the other ‘good’ products.

Identification OF Print Defect

With the help of print defect identification, it is possible to figure out all of the printing incongruities for instance incorrect color shade or the cases of defective printing.

Identification

It involves recognizing a product for tracing it throughout the manufacturing process to guarantee that the right item is produced. Barcodes can come in really handy for identification of objects.

Locating of Products

It is used for finding things in applications like robotic guidance. It is used to determine the location of an object. Its data can pick up the product or do any task needing this position.

Machine vision can really come good for any industrial facility which has to do the same procedure over and over. It is extensively used in plastics, automotive, medical devices, food and packaging and electronics industry.

Industrial automation has increased in industries, with the advent of new technologies, such as AI and ML. Where there is automation, there will be a need for machine vision, to monitor if all the products, that are manufactured are of the superior quality and also free from any sort of defect.

The value for machine vision industry will reach USD 19.5 billion, by the end of this decade.