NEWARK, Del., October 12, 2026. The global model-based manufacturing technologies market is projected to grow from USD 58.2 billion in 2026 to USD 114.5 billion by 2036, expanding at a compound annual growth rate (CAGR) of 7.0%, according to Future Market Insights (FMI). The market is expected to add USD 56.3 billion over the forecast period as manufacturers invest in software, digital twins and connected production systems to link engineering decisions with factory operations.

Manufacturers are evaluating these technologies as part of broader digital transformation programmes. Model-based systems connect product design, simulation and production planning, helping engineering and operations teams work from consistent product and process information. The business case depends on how effectively these systems integrate with existing manufacturing execution systems (MES), product lifecycle management (PLM) platforms and factory data.

Digital manufacturing moves from design into production

The next stage of manufacturing digitalisation depends on connecting engineering models with operational data. Digital twins can represent products, equipment or production processes, while computer-aided engineering tools support simulation before physical changes are made. Industrial Internet of Things (IIoT) integration adds data from connected equipment.

The report identifies digital transformation investment and production-efficiency targets as key demand drivers. It also cites Gartner's 2025 discussion of digital-twin adoption in manufacturing as context for enterprise investment. For manufacturers, the practical question is whether these systems can improve existing workflows without introducing excessive integration work.

Cloud deployment is another factor shaping purchasing decisions. Software-as-a-service models can reduce the need for manufacturers to maintain all supporting infrastructure on-site. However, companies still need to assess data governance, security requirements, connectivity and the cost of moving existing engineering information into new platforms.

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Where growth is fastest

FMI's country forecasts show the strongest growth in India and China, with the United States and Germany also recording expansion above the global market rate.

• India — 9.9% CAGR: Manufacturing digitalisation programmes and Production Linked Incentive (PLI) schemes support investment in modern production capabilities. Price sensitivity and phased budgets can influence implementation schedules.
• China — 9.7% CAGR: Large-scale manufacturing digitalisation programmes and domestic technology ecosystems support demand. Localisation and data-compliance requirements can affect the qualification process for international vendors.
• United States — 9.1% CAGR: Enterprise technology budgets and established industrial software ecosystems support adoption. Security reviews and compatibility with installed systems remain important procurement considerations.
• Germany — 8.5% CAGR: Industrial digitalisation programmes and engineering-led evaluation support demand for integrated manufacturing platforms. Interoperability and data governance can lengthen implementation planning.
• United Kingdom — 5.9% CAGR: Established enterprise purchasing processes and continuing digitalisation budgets support demand, although structured procurement can extend sales cycles.

These rates represent projected growth from 2026 to 2036, rather than current country market shares.

What leads the market

Software, cloud deployment and large-enterprise purchasing account for substantial shares of demand in FMI's 2026 estimates.

• Software — 63.0% of the solution category: Design, simulation and digital-twin platforms lead as manufacturers purchase licences and subscriptions to support connected engineering and production workflows.
• Cloud — 56.0% of the deployment category: Cloud platforms and SaaS models provide an alternative to maintaining all manufacturing software infrastructure on-site.
• Large enterprises — 67.0% of the enterprise-size category: Complex production environments and multi-site operations create demand for integrated platforms.
• Automotive — 24.0% of the industry category: Vehicle manufacturing complexity supports demand for simulation and digital-twin technologies.
• Digital twin technology — 41.0% of the technology category: Manufacturers are connecting virtual models with physical production operations to improve process visibility and planning.

These percentages describe different market categories and should not be combined. They indicate where demand is concentrated, while individual purchasing requirements depend on production complexity, existing systems and deployment priorities.

The hurdle: integrating new platforms with legacy systems

Implementation complexity remains a key restraint. Manufacturers may have to connect new simulation and digital-twin software with older MES installations, engineering databases, automation equipment and enterprise applications. Differences in data formats and system architecture can increase customisation costs and extend deployment timelines.

The consequences are commercial as well as technical. A platform that requires extensive reconfiguration can delay expected productivity gains and increase the total cost of ownership. Buyers must therefore assess integration effort alongside software features and licensing fees.

FMI identifies cloud-native manufacturing platforms as an opportunity, particularly for mid-sized manufacturers seeking to limit upfront infrastructure spending. A phased rollout can also help companies validate performance in one production area before extending deployment across multiple sites.

Recent developments and industry investment

Supplier activity reflects continued investment in digital manufacturing platforms, simulation and product lifecycle integration.

• January 2025: Siemens AG reported continued expansion of its Xcelerator digital manufacturing platform, including updated digital-twin capabilities for automotive and aerospace production planning.
• March 2025: Dassault Systèmes confirmed continued enterprise adoption of its 3DEXPERIENCE platform across manufacturing industries, supporting cloud-deployed simulation and PLM workflows.

These developments illustrate supplier activity in connected manufacturing software. They do not, by themselves, establish market share or prove that a particular platform will deliver the same results across different production environments.

FMI profiles Siemens AG, Dassault Systèmes, PTC Inc., Autodesk Inc., Hexagon AB, Synopsys Inc., SAP SE and Rockwell Automation among the notable companies in the market. Bentley Systems is also discussed in the report's competitive analysis.

The companies serve different parts of the manufacturing technology stack. Siemens and Dassault Systèmes compete through digital-twin and PLM ecosystems; PTC focuses on connected product lifecycle capabilities; Autodesk serves manufacturing design workflows; and Hexagon provides metrology and smart-manufacturing technologies. SAP and Rockwell Automation address enterprise-system and industrial-automation integration.

Analyst perspective

"Buyers are expected to judge software on performance and total cost of ownership rather than headline price. Model-based manufacturing adoption is expected to depend on platform integration capability and cloud deployment readiness. Suppliers that combine digital twin simulation with manufacturing execution system connectivity are likely to secure enterprise-wide platform contracts. Market success is projected to depend on reducing implementation complexity while delivering measurable production efficiency gains across multi-site manufacturing operations."

— Sudip Saha, Principal Consultant at Future Market Insights

What this means for manufacturing buyers

For plant engineering teams, IT procurement departments and operations leaders, the key decision is how to introduce model-based technologies without creating unnecessary integration costs or operational disruption.

1. Assess compatibility before selecting a platform. Map the data flows between design software, PLM, MES and factory equipment. Ask suppliers to demonstrate integration using representative systems and production data, not only a standalone demonstration.
2. Compare total cost of ownership. Include licences, implementation, data migration, cloud infrastructure, training, support and future upgrades. Cloud deployment may lower upfront infrastructure requirements, but buyers should verify ongoing costs and data-governance requirements.
3. Start with a measurable production objective. Choose a process where simulation, digital-twin modelling or connected data can address a defined engineering or operational problem. Establish baseline measures and acceptance criteria before expanding the deployment to other facilities.

These steps help manufacturers compare platforms on practical suitability, set realistic implementation expectations and assess whether projected benefits justify the investment.

Report coverage

Future Market Insights' Model-Based Manufacturing Technologies Market report examines market size and forecasts through 2036, solution types, deployment models, enterprise sizes, industries, technologies, country growth rates, competitive activity, adoption drivers, restraints and emerging opportunities.

Read the full report:
https://www.futuremarketinsights.com/reports/model-based-manufacturing-technologies-market

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Future Market Insights, Inc. (FMI) is an ESOMAR-certified market research and consulting firm headquartered in Delaware, USA, with offices in the United Kingdom, the United Arab Emirates and India. FMI delivers syndicated and custom research across food and beverage, healthcare, chemicals, technology, packaging, consumer goods and industrial sectors.

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