For a long time, the cure for diabetes type 1 and type 2 has relied on agonizing insulin shots for patients or insulin infusion via mechanical pumps. Regarding this, experts have been creating artificial pancreatic beta cells with the he…
Market Overview of Global Model-Based Systems Engineering (MBSE) Solution market:
According to our latest research, the global Model-Based Systems Engineering (MBSE) Solution market looks promising in the next 5 years. As of 2022, the global Model-Based Systems Engineering (MBSE) Solution market was estimated at USD 812.32 million, and it's anticipated to reach USD 1553.1 million in 2028, with a CAGR of 11.41% during the forecast years.
MBSE is the application of modeling systems, a hardware engineering methodology. MBSE uses graphical models to represent and construct systems to support requirements, design, analysis, and verification related to the development of complex systems. With the increasing adoption of digital modeling environments, MBSE is gaining popularity in the engineering community for its ability to improve communication, collaboration, and efficiency in the design process. Industries such as aerospace, automotive, construction, and telecommunications often need to design large, complex systems where multiple engineering disciplines need to work together to design, build, and maintain them. These systems can benefit from MBSE's holistic, collaborative, and efficient approach.
Benefits of MBSE
MBSE is a computer model of a system with many benefits. Traditional systems engineering often involves a series of lengthy and complex system documentation, and it can be difficult to keep up to date as the design evolves. MBSE focuses on expressing and documenting requirements, design, analysis, and verification information using model-centric modeling tools and data sources. SysML is an important tool for MBSE. A system model is a real-time representation of a system or product that can unite all information about the system. It allows every project participant to be accessible and easily updated and modified as requirements change. MBSE provides a common language for interdisciplinary communication, improving collective understanding of system requirements, design, and behavior, leading to better outcomes and fewer misunderstandings. Drones, for example, require the collaboration of multiple engineering disciplines, including mechanical, electrical, software, and aerodynamics. MBSE simplifies the job of describing multiple documents, allowing engineers to focus on improving the product. MBS allows simulated behavior and full traceability from requirements to verified solutions, which enables engineers to consider the entire system lifecycle, not just individual components or subsystems. This helps engineers make better decisions as early as possible in the design lifecycle, reducing the cost of error correction. In practice, engineers use models to gain knowledge and as guidelines for system implementation, e.g. electrical CAD, and mechanical CAD. With virtual models, engineers can simulate various scenarios and test different design options without the costs associated with building physical prototypes. Additionally, MBSE provides a single source of truth for inspection and verification by enabling a rigorous systems engineering approach. It contains all the data and design information needed to keep engineers on the same page, ensuring internal consistency of the model, and thereby improving product lead times, yields, and profits. Models can be documented for different stakeholders. Engineering firms using MBSE can improve customer satisfaction by producing higher-quality designs more efficiently. Overall, MBSE is essential for engineering companies. Industries such as aerospace, defense, automotive, energy, and medical devices often need to design complex systems, and MBSE can lead to a more efficient, effective, and innovative design process.
Increased demand for MBSE in automotive industry
Electronics in the automotive industry evolve very rapidly and the complexity of the vehicle development process increases dramatically. This is due to the increasing proportion of complex advanced software and cutting-edge electronics in vehicles, and the interdisciplinary knowledge required to support their functionality. For example, an automatic cruise control system relies on the integration of software, electronic hardware, mechanical systems, and other engineering and technical fields. Modern electric vehicles are built around a powerful central computer with artificial intelligence capabilities to support autonomous driving and connectivity with automakers and other vehicles. The major challenges facing the automotive industry today are the increasing demand for personalized products and rich experiences, rising quality standards, and decreasing operating costs. Engineering teams need to be able to manage the simultaneous development of mechanical, electrical, and software systems to successfully deliver competitive, high-quality vehicles on time. Software modeling and simulation tools enhance automotive embedded system design, faster time to release, and higher reliability. Automakers are increasingly adopting Model-Based Design to develop automotive electronics, including transmissions, engine controllers, body controllers, battery modules, and more. This increases the automotive industry's reliance on MBSE.
For example, IBM Engineering Lifecycle Management is one of the leading application lifecycle management solutions for managing the development of today's complex cars. Argonne and VMS developed AMBER, whose extensive use of metadata information enabled the development and deployment of specialized workflows throughout the MBSE process. These include automatically building Simulink system models from individual systems and subsystems, simulating one to millions of individual vehicles to assess energy impacts; assessing the impact of connected and automated vehicle controls; and quantifying the impact of people and freight. With the increase in environmental regulations in various countries and consumers' preference for electric vehicles, electrification is becoming the new standard. Under the trend of vehicle electrification, automakers are busy developing new electric vehicles and researching more high-tech functions of vehicles. The complexity of automotive production processes and the associated data and information management creates a need for higher levels of transparency, agility, and compliance. With shorter development cycles across the automotive sector, all manufacturers are accelerating their pace of innovation, increasing the demand for MBSE solutions.
Disadvantages of MBSE
MBSE also has some disadvantages. Like all other models, MBSE has an underlying framework. If something goes wrong with the foundation, the entire system is affected, but correcting the framework often requires canceling or restarting the entire project. Since MBSE is a relatively new concept and has a certain level of complexity, it requires the user to have a good understanding of how the model works. It may be easy for people inside the organization to use, but it may be difficult for someone outside to understand and review it. For large complex systems, validating MBSE models can be difficult, requiring additional effort and resources to ensure model accuracy and completeness. Due to the difficult learning process of MBSE, not everyone can use it from the beginning. Many people are reluctant to adapt to new ways of working. At the same time, MBSE is costly to implement and maintain. This requires stakeholders to support a purpose-built system that is well-maintained, staffed with experts, and kept abreast of industry changes. MBSE still lacks standardization, which can lead to confusion and lack of consistency as different organizations use different methodologies. Some experts believe that MBSE may lead to excessive reliance on models, with a lack of focus on real-world considerations. This can lead to impractical designs. Additionally, SysML is often used in conjunction with MBSE to represent and design systems, but SysML has some limitations, including complexity, limited hardware design support, and possible incompatibility with other tools. Therefore, these disadvantages of MBSE hinder the rapid development of the industry.
Region Overview:
In 2022, the share of the Model-Based Systems Engineering (MBSE) Solution market in North America stood at 41.65%.
Company Overview:
The major players operating in the Model-Based Systems Engineering (MBSE) Solution market include Dassault Systèmes, Siemens, PTC, AWS, IBM Corporation, etc. Among which, Dassault Systèmes ranked top in terms of sales and revenue in 2023.
Dassault Systèmes
As a leader in 3DEXPERIENCE solutions for clients around the world, Dassault Systèmes provides businesses and clients with a virtual space to simulate sustainable innovation. Its world-leading solutions transform the way products are designed, produced, and supported. Collaboration solutions from Dassault Systèmes drive social innovation, expanding the possibilities for virtual worlds to improve the real world.
Siemens
Siemens Digital Industries Software and Siemens Xcelerator are transforming the everyday by giving companies like yours the agility, flexibility, and adaptability to turn ideas into innovation with greater efficiency and speed.
Segmentation Overview:
By type, Service segment accounted for the largest share of market in 2022.
Application Overview:
By application, the Aerospace and Defense segment occupied the biggest share from 2018 to 2022.
This report covers a research time span from 2018 to 2028, and presents a deep and comprehensive analysis of the global Model-Based Systems Engineering (MBSE) Solution market, with a systematical description of the status quo and trends of the whole market, a close look into the competitive landscape of the major players, and a detailed elaboration on segment markets by type, by application and by region.
Key Takeaways from the Global Model-Based Systems Engineering (MBSE) Solution Market Report:
Market Size Estimates: Model-Based Systems Engineering (MBSE) Solution market size estimation in terms of value and sales volume from 2018-2028
Market Trends and Dynamics: Model-Based Systems Engineering (MBSE) Solution market drivers, opportunities, challenges, and risks
Macro-economy and Regional Conflict: Influence of global inflation and Russia & Ukraine War on the Model-Based Systems Engineering (MBSE) Solution market
Segment Market Analysis: Model-Based Systems Engineering (MBSE) Solution market value and sales volume by type and by application from 2018-2028
Regional Market Analysis: Model-Based Systems Engineering (MBSE) Solution market situations and prospects in North America, Asia Pacific, Europe, Latin America, Middle East, Africa
Country-level Studies on the Model-Based Systems Engineering (MBSE) Solution Market: Revenue and sales volume of major countries in each region
Model-Based Systems Engineering (MBSE) Solution Market Competitive Landscape and Major Players: Analysis of 10-15 leading market players, sales, price, revenue, gross, gross margin, product profile and application, etc.
Trade Flow: Import and export volume of the Model-Based Systems Engineering (MBSE) Solution market in major regions.
Model-Based Systems Engineering (MBSE) Solution Industry Value Chain: Model-Based Systems Engineering (MBSE) Solution market raw materials & suppliers, manufacturing process, distributors, downstream customers
Model-Based Systems Engineering (MBSE) Solution Industry News, Policies & Regulations
Key players in the global Model-Based Systems Engineering (MBSE) Solution market are covered in Chapter 12:
ANSYS
Avion Solutions
Siemens
PTC
AWS
Safran
Zuken
Dassault Systèmes
Saratech
MathWorks
Precise Systems
IBM Corporation
In Chapter 2 and Chapter 15.1, based on types, the Model-Based Systems Engineering (MBSE) Solution market from 2018 to 2028 is primarily split into:
Software
Service
In Chapter 3 and Chapter 15.2, based on applications, the Model-Based Systems Engineering (MBSE) Solution market from 2018 to 2028 covers:
Aerospace and Defense
Automotive and Heavy Equipment
Machine Manufacturing
Energy and Utilities
Others
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 7, 8, 9, 10, 11, 15.3, 15.4:
North America (Covered in Chapter 7)
United States
Canada
Asia-Pacific (Covered in Chapter 8)
China
Japan
India
South Korea
Southeast Asia
Australia
Others
Europe (Covered in Chapter 9)
Germany
France
UK
Italy
Spain
Russia
Poland
Others
Latin America (Covered in Chapter 10)
Mexico
Brazil
Argentina
Others
Middle East and Africa (Covered in Chapter 11)
GCC Countries
Africa
Others
The data of this research report is mainly obtained from industry associations, magazines, press releases, national customs, annual reports of enterprises, expert interviews, paid databases and other channels with authority. It also provides scientific forecasts of the industry's core development indicators through professional analysis and forecasting models.
In short, whatever role you take in this industry value chain, this report will help you or your company to acquire a systematic and in-depth understanding of the industry.
Chapter Outline
This report consists of 16 chapters. Below is a brief guideline to help you quickly grasp the main contents of each chapter:
Chapter 1 starts the report with an overview of the Model-Based Systems Engineering (MBSE) Solution market, as well as the definitions of the target market and the subdivisions. Through the presented global market size, regional market sizes, and segment market shares, you will be able to draw an overall and comprehensive picture of the market situation. Meanwhile, the research method and data source will be shared in this chapter.
Chapter 2 and Chapter 3 breaks down the market by different types and applications, with historic data presented in metrics of sales volume, revenue, market share and growth rate.
Chapter 4 elaborates on market dynamics and future trends in the industry, which contains an in-depth analysis of market drivers, opportunities, challenges, and risks. Other essential factors that will have a major impact on the market, i.e., industry news and policies in recent years, global inflation, and regional conflict, are also taken into consideration.
Chapter 5 compares the sales volume and revenue of the major regions across the globe, which enables the readers to understand the regional competitive pattern.
Chapter 6 is the analysis of the trade flow. Import volume and export volume are revealed on a regional level.
Chapters 7-11 focus on country-level studies. Data from the major countries in each region are provided, showing the current development of the industry in different countries. Besides, you will also find qualitative trends analysis under global inflation under each of the 6 regions.
Chapter 12 first up presents the competitive landscape by displaying and comparing the revenues, sales volumes, and market shares of the top players in the market, followed by a company-by-company analysis of all the major market participants with introductions of their products, product applications, company profiles, and business overview. In addition, their competitiveness is manifested through numbers of sales volume, revenue, price, gross and gross margin.
Chapter 13 looks into the whole market industrial chain, ranging from the upstream key raw materials and their suppliers to midstream distributors and downstream customers, with influences of global inflation taken into consideration.
Chapter 14 is perfect for those who wish to develop new projects in the industry. This chapter sheds a light on industry entry barriers and gives suggestions on new project investments.
Chapter 15 forecasts the future trend of the market from the perspective of different types, applications, and major regions.
Chapter 16 is the conclusion of the report which helps the readers sum up the main findings and insights.
Years considered for this report:
Historical Years: 2018-2022
Base Year: 2022
Estimated Year: 2023
Forecast Period: 2023-2028