3D CAD Software Market by End User Industry (Aerospace & Defense, Architecture Engineering & Construction, Automotive), Deployment Type (Cloud, On-Premise), Application, Component - Global Forecast 2025-2032
Description
The 3D CAD Software Market was valued at USD 12.06 billion in 2024 and is projected to grow to USD 12.96 billion in 2025, with a CAGR of 7.43%, reaching USD 21.42 billion by 2032.
A strategic orientation to 3D CAD software that frames design, simulation, and collaboration as central pillars of modern product development and operational efficiency
This executive summary opens with a clear articulation of why 3D CAD software remains a strategic enabler across product-centric industries and how recent advances are reshaping design and engineering workflows. The introduction frames core themes that recur throughout the report: the convergence of design and simulation workflows, the migration of data and collaboration services to cloud infrastructure, and the rising expectations for connected lifecycle management. It establishes the context for readers who must make investment, integration, and process decisions in environments where speed, traceability, and cross-discipline collaboration directly influence product time-to-market and compliance.
The narrative emphasizes that modern 3D CAD platforms are no longer isolated authoring tools but central nodes in a broader digital thread that spans concept, validation, manufacturing, and aftermarket support. This orientation is intended to help executives and technical leaders prioritize capability areas such as model-based systems engineering, parametric and direct modeling interoperability, and multi-physics simulation orchestration. Moreover, the introduction outlines the principal market dynamics that shape vendor strategies, partner ecosystems, and enterprise adoption patterns, setting expectations for the detailed analyses that follow.
How cloud-native architectures, AI-assisted design, and interoperability pressures are reshaping vendor strategies and enterprise adoption of 3D CAD software
The landscape for 3D CAD software is undergoing transformative shifts driven by technological innovation, evolving procurement models, and the operational imperatives of digitization. Advances in cloud-native architectures, GPU-accelerated rendering, and AI-assisted modeling are fundamentally changing how teams create, iterate, and validate designs. These shifts are altering vendor roadmaps and expanding the set of integration touchpoints with PLM, PDM, simulation suites, and enterprise data lakes.
Alongside technology-driven change, organizational processes are adapting: geographically dispersed teams now demand real-time collaboration, version control with auditability, and secure access policies that accommodate hybrid and public cloud deployments. Concurrently, regulatory and sustainability reporting expectations prompt closer coupling between CAD data and lifecycle assessment tools. As a result, procurement decisions increasingly weigh long-term interoperability, data governance, and extensibility to support automated validation and downstream manufacturing automation. Transitioning from legacy monolithic systems toward modular, API-first platforms is becoming an operational priority for market leaders and adopters alike.
Impacts of the United States 2025 tariff measures on procurement, deployment strategies, and vendor contractual flexibility for 3D CAD implementations
The imposition of new tariffs in the United States in 2025 introduced a material variable into procurement planning and supply chain cost models, prompting manufacturers and software buyers to reassess contractual terms, deployment footprints, and supplier diversification strategies. For organizations that rely on cross-border software licensing, hardware procurement, or integrated service packages that combine local support with offshore development, tariffs have amplified the importance of transparent total-cost-of-ownership calculations and contractual flexibility.
In response, procurement teams have widened their evaluation criteria beyond headline subscription fees to include support location, local currency invoicing options, and modular licensing that segregates services from core software where feasible. Meanwhile, technology teams have accelerated proof-of-concept work that demonstrates whether cloud-based deployment can mitigate tariff-driven cost increases by centralizing infrastructure and reducing dependency on localized physical delivery of development tools. These adaptations have reinforced the strategic value of multi-vendor integration capabilities and vendor contractual terms that allow for regional deployment adjustments and predictable renewal mechanics.
Detailed segmentation analysis revealing industry-specific priorities, deployment trade-offs, application differentiators, and component-driven implementation implications for 3D CAD
Segment-specific insights reveal where adoption, capability prioritization, and integration complexity diverge across industry verticals, deployment models, application areas, and component mixes. When analyzed by end-user industry-covering Aerospace & Defense including commercial and military subsegments, Architecture Engineering & Construction, Automotive with OEM and Tier supplier distinctions, Consumer Goods & Retail, Electronics & Semiconductors, Industrial Machinery & Heavy Equipment, and Medical Devices-different drivers emerge. Aerospace and defense emphasize strict traceability, certification-ready modeling, and multi-domain simulation, while automotive OEMs and tier suppliers prioritize high-throughput collaboration, variant management, and just-in-time validation. Architecture and construction focus on interoperability with BIM workflows and large-assembly visualization, whereas consumer goods emphasize speed-to-market and ACAD-to-CAD translation.
Looking at deployment type, cloud and on-premise choices create distinct trade-offs. Cloud environments, including hybrid cloud, private cloud, and public cloud variants, offer elastic compute for simulation and easier distribution of collaborative workspaces, while on-premise deployments retain tighter control over IP and latency-sensitive workflows. In application terms, 3D modeling and simulation, data management spanning PDM and PLM, and visualization and rendering present unique integration and governance requirements. Finally, component perspectives that separate software from services-where services encompass maintenance service and professional service-highlight the importance of lifecycle support and implementation advisory to realize platform value.
How regional regulatory frameworks, industry concentrations, and local partner ecosystems shape differentiated 3D CAD adoption patterns across the Americas, EMEA, and Asia-Pacific
Regional dynamics materially influence adoption timing, regulatory requirements, and partner ecosystems across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, strong demand in automotive, aerospace, and industrial machinery drives investment in cloud collaboration and model-based systems engineering, complemented by a mature services landscape that supports complex integrations. Europe, Middle East & Africa often prioritizes compliance, traceability, and sustainability reporting, leading to heightened emphasis on lifecycle management and interoperability with regional PLM incumbents. Regulatory heterogeneity across EMEA also increases the appeal of flexible deployment models that can localize sensitive data while preserving global collaboration.
Asia-Pacific presents a diverse set of uptake patterns: rapidly growing electronics and consumer goods manufacturing hubs are accelerating adoption of GPU-accelerated rendering and automation-ready CAD outputs, while established industrial machinery clusters emphasize retrofitability and modular upgrade paths. Across all regions, local partner networks and talent availability shape deployment velocity, with a continuing premium on vendors and integrators that can provide localized professional services, region-specific training, and support for multilingual collaboration workflows.
Competitive dynamics and vendor strategies that determine platform adoption, interoperability leadership, and the value of integrated services in the 3D CAD ecosystem
Competitive positioning among providers in the 3D CAD ecosystem is defined by depth of modeling capability, breadth of simulation integration, cloud and hybrid deployment support, and the extensibility of data management interfaces. Established incumbents differentiate through extensive portfolios that integrate CAD with PLM and PDM offerings, high-fidelity simulation toolchains, and global services networks that support complex, regulated industries. A complementary set of vendors compete on specialized capabilities such as GPU-accelerated visualization, generative design, or lightweight collaboration clients that minimize bandwidth while preserving model fidelity.
Strategic partnerships and acquisition activity continue to reshape capability maps, as vendors seek to close gaps in simulation orchestration, additive manufacturing preparation, and systems-level modeling. For enterprise buyers, vendor selection hinges on demonstrated interoperability, standards support, and the ability to integrate with existing ERP and MES landscapes. Moreover, the quality and availability of professional services, regional support centers, and training resources can be as decisive as core product features when it comes to achieving sustained adoption and operational impact.
Practical and prioritized actions leaders can implement to align CAD investments with lifecycle governance, hybrid deployment, and capability-building for predictable product outcomes
Industry leaders should prioritize a set of actionable measures to ensure CAD investments translate into measurable product development advantages. First, align CAD strategy with broader lifecycle and data governance initiatives to ensure models serve as authoritative sources of truth across engineering, validation, and manufacturing. This alignment requires clear policies for versioning, access controls, and model lineage as well as investments in connectors and APIs that reduce manual handoffs. Second, evaluate deployment architectures with an emphasis on hybrid approaches that balance cloud scale for simulation and rendering against localized control for sensitive IP and real-time manufacturing interfaces.
Third, build competency programs to elevate model-quality standards and to embed simulation earlier in the design process, thereby reducing costly downstream rework. Fourth, incorporate procurement clauses that allow modular licensing and regional deployment flexibility to mitigate geopolitical and tariff-related risks. Finally, cultivate strategic partnerships with vendors that demonstrate ongoing investment in open standards, developer ecosystems, and professional services capable of delivering rapid pilots and measurable outcomes. Taken together, these actions will accelerate time-to-value while reducing integration risk and operational friction.
Transparent and reproducible research approach combining primary stakeholder interviews, vendor capability mapping, and cross-disciplinary validation to ensure impartial insights
The research methodology combines primary stakeholder interviews, vendor capability mapping, technology trend analysis, and validation through cross-disciplinary expert review. Primary engagements included structured discussions with engineering leaders, IT architecture teams, procurement specialists, and professional service providers to capture real-world adoption challenges and success factors. Vendor assessments were conducted by mapping product capabilities against a standardized rubric covering modeling fidelity, simulation integration, data management interfaces, deployment flexibility, and services coverage.
Secondary inputs encompassed a systematic review of technical documentation, release notes, and public case studies to corroborate capability claims and to identify emerging feature trajectories such as AI-assisted modeling and cloud-rendering performance improvements. Throughout the process, findings were iteratively validated with independent industry experts and technical practitioners to ensure practical relevance and to reduce bias. The methodology emphasizes transparency in criteria selection and provides reproducible assessment steps to enable readers to apply the same framework to vendor shortlists and internal pilots.
Synthesis of strategic imperatives demonstrating how integration, governance, and hybrid deployment enable CAD investments to drive product development resilience and speed
In conclusion, 3D CAD software sits at the intersection of design creativity and disciplined engineering, and recent developments are accelerating its evolution into a collaborative, cloud-aware, and simulation-integrated platform. Organizations that treat CAD as part of a broader digital thread-one that is governed, extensible, and aligned with manufacturing and compliance systems-stand to gain measurable improvements in development velocity and product quality. Key enablers include modular deployment architectures that support hybrid cloud use cases, investment in simulation early in the design cycle, and procurement approaches that prioritize contractual flexibility and professional services capacity.
As vendors continue to expand capabilities through partnerships and platform enhancements, buyers should emphasize interoperability, data governance, and the availability of regional services. Adopting these priorities will reduce operational friction and increase the likelihood that CAD investments translate into faster validation cycles, better cross-functional collaboration, and more resilient supply chain interactions. The path forward is one of integration, standardization, and disciplined capability delivery.
Note: PDF & Excel + Online Access - 1 Year
A strategic orientation to 3D CAD software that frames design, simulation, and collaboration as central pillars of modern product development and operational efficiency
This executive summary opens with a clear articulation of why 3D CAD software remains a strategic enabler across product-centric industries and how recent advances are reshaping design and engineering workflows. The introduction frames core themes that recur throughout the report: the convergence of design and simulation workflows, the migration of data and collaboration services to cloud infrastructure, and the rising expectations for connected lifecycle management. It establishes the context for readers who must make investment, integration, and process decisions in environments where speed, traceability, and cross-discipline collaboration directly influence product time-to-market and compliance.
The narrative emphasizes that modern 3D CAD platforms are no longer isolated authoring tools but central nodes in a broader digital thread that spans concept, validation, manufacturing, and aftermarket support. This orientation is intended to help executives and technical leaders prioritize capability areas such as model-based systems engineering, parametric and direct modeling interoperability, and multi-physics simulation orchestration. Moreover, the introduction outlines the principal market dynamics that shape vendor strategies, partner ecosystems, and enterprise adoption patterns, setting expectations for the detailed analyses that follow.
How cloud-native architectures, AI-assisted design, and interoperability pressures are reshaping vendor strategies and enterprise adoption of 3D CAD software
The landscape for 3D CAD software is undergoing transformative shifts driven by technological innovation, evolving procurement models, and the operational imperatives of digitization. Advances in cloud-native architectures, GPU-accelerated rendering, and AI-assisted modeling are fundamentally changing how teams create, iterate, and validate designs. These shifts are altering vendor roadmaps and expanding the set of integration touchpoints with PLM, PDM, simulation suites, and enterprise data lakes.
Alongside technology-driven change, organizational processes are adapting: geographically dispersed teams now demand real-time collaboration, version control with auditability, and secure access policies that accommodate hybrid and public cloud deployments. Concurrently, regulatory and sustainability reporting expectations prompt closer coupling between CAD data and lifecycle assessment tools. As a result, procurement decisions increasingly weigh long-term interoperability, data governance, and extensibility to support automated validation and downstream manufacturing automation. Transitioning from legacy monolithic systems toward modular, API-first platforms is becoming an operational priority for market leaders and adopters alike.
Impacts of the United States 2025 tariff measures on procurement, deployment strategies, and vendor contractual flexibility for 3D CAD implementations
The imposition of new tariffs in the United States in 2025 introduced a material variable into procurement planning and supply chain cost models, prompting manufacturers and software buyers to reassess contractual terms, deployment footprints, and supplier diversification strategies. For organizations that rely on cross-border software licensing, hardware procurement, or integrated service packages that combine local support with offshore development, tariffs have amplified the importance of transparent total-cost-of-ownership calculations and contractual flexibility.
In response, procurement teams have widened their evaluation criteria beyond headline subscription fees to include support location, local currency invoicing options, and modular licensing that segregates services from core software where feasible. Meanwhile, technology teams have accelerated proof-of-concept work that demonstrates whether cloud-based deployment can mitigate tariff-driven cost increases by centralizing infrastructure and reducing dependency on localized physical delivery of development tools. These adaptations have reinforced the strategic value of multi-vendor integration capabilities and vendor contractual terms that allow for regional deployment adjustments and predictable renewal mechanics.
Detailed segmentation analysis revealing industry-specific priorities, deployment trade-offs, application differentiators, and component-driven implementation implications for 3D CAD
Segment-specific insights reveal where adoption, capability prioritization, and integration complexity diverge across industry verticals, deployment models, application areas, and component mixes. When analyzed by end-user industry-covering Aerospace & Defense including commercial and military subsegments, Architecture Engineering & Construction, Automotive with OEM and Tier supplier distinctions, Consumer Goods & Retail, Electronics & Semiconductors, Industrial Machinery & Heavy Equipment, and Medical Devices-different drivers emerge. Aerospace and defense emphasize strict traceability, certification-ready modeling, and multi-domain simulation, while automotive OEMs and tier suppliers prioritize high-throughput collaboration, variant management, and just-in-time validation. Architecture and construction focus on interoperability with BIM workflows and large-assembly visualization, whereas consumer goods emphasize speed-to-market and ACAD-to-CAD translation.
Looking at deployment type, cloud and on-premise choices create distinct trade-offs. Cloud environments, including hybrid cloud, private cloud, and public cloud variants, offer elastic compute for simulation and easier distribution of collaborative workspaces, while on-premise deployments retain tighter control over IP and latency-sensitive workflows. In application terms, 3D modeling and simulation, data management spanning PDM and PLM, and visualization and rendering present unique integration and governance requirements. Finally, component perspectives that separate software from services-where services encompass maintenance service and professional service-highlight the importance of lifecycle support and implementation advisory to realize platform value.
How regional regulatory frameworks, industry concentrations, and local partner ecosystems shape differentiated 3D CAD adoption patterns across the Americas, EMEA, and Asia-Pacific
Regional dynamics materially influence adoption timing, regulatory requirements, and partner ecosystems across the Americas, Europe, Middle East & Africa, and Asia-Pacific. In the Americas, strong demand in automotive, aerospace, and industrial machinery drives investment in cloud collaboration and model-based systems engineering, complemented by a mature services landscape that supports complex integrations. Europe, Middle East & Africa often prioritizes compliance, traceability, and sustainability reporting, leading to heightened emphasis on lifecycle management and interoperability with regional PLM incumbents. Regulatory heterogeneity across EMEA also increases the appeal of flexible deployment models that can localize sensitive data while preserving global collaboration.
Asia-Pacific presents a diverse set of uptake patterns: rapidly growing electronics and consumer goods manufacturing hubs are accelerating adoption of GPU-accelerated rendering and automation-ready CAD outputs, while established industrial machinery clusters emphasize retrofitability and modular upgrade paths. Across all regions, local partner networks and talent availability shape deployment velocity, with a continuing premium on vendors and integrators that can provide localized professional services, region-specific training, and support for multilingual collaboration workflows.
Competitive dynamics and vendor strategies that determine platform adoption, interoperability leadership, and the value of integrated services in the 3D CAD ecosystem
Competitive positioning among providers in the 3D CAD ecosystem is defined by depth of modeling capability, breadth of simulation integration, cloud and hybrid deployment support, and the extensibility of data management interfaces. Established incumbents differentiate through extensive portfolios that integrate CAD with PLM and PDM offerings, high-fidelity simulation toolchains, and global services networks that support complex, regulated industries. A complementary set of vendors compete on specialized capabilities such as GPU-accelerated visualization, generative design, or lightweight collaboration clients that minimize bandwidth while preserving model fidelity.
Strategic partnerships and acquisition activity continue to reshape capability maps, as vendors seek to close gaps in simulation orchestration, additive manufacturing preparation, and systems-level modeling. For enterprise buyers, vendor selection hinges on demonstrated interoperability, standards support, and the ability to integrate with existing ERP and MES landscapes. Moreover, the quality and availability of professional services, regional support centers, and training resources can be as decisive as core product features when it comes to achieving sustained adoption and operational impact.
Practical and prioritized actions leaders can implement to align CAD investments with lifecycle governance, hybrid deployment, and capability-building for predictable product outcomes
Industry leaders should prioritize a set of actionable measures to ensure CAD investments translate into measurable product development advantages. First, align CAD strategy with broader lifecycle and data governance initiatives to ensure models serve as authoritative sources of truth across engineering, validation, and manufacturing. This alignment requires clear policies for versioning, access controls, and model lineage as well as investments in connectors and APIs that reduce manual handoffs. Second, evaluate deployment architectures with an emphasis on hybrid approaches that balance cloud scale for simulation and rendering against localized control for sensitive IP and real-time manufacturing interfaces.
Third, build competency programs to elevate model-quality standards and to embed simulation earlier in the design process, thereby reducing costly downstream rework. Fourth, incorporate procurement clauses that allow modular licensing and regional deployment flexibility to mitigate geopolitical and tariff-related risks. Finally, cultivate strategic partnerships with vendors that demonstrate ongoing investment in open standards, developer ecosystems, and professional services capable of delivering rapid pilots and measurable outcomes. Taken together, these actions will accelerate time-to-value while reducing integration risk and operational friction.
Transparent and reproducible research approach combining primary stakeholder interviews, vendor capability mapping, and cross-disciplinary validation to ensure impartial insights
The research methodology combines primary stakeholder interviews, vendor capability mapping, technology trend analysis, and validation through cross-disciplinary expert review. Primary engagements included structured discussions with engineering leaders, IT architecture teams, procurement specialists, and professional service providers to capture real-world adoption challenges and success factors. Vendor assessments were conducted by mapping product capabilities against a standardized rubric covering modeling fidelity, simulation integration, data management interfaces, deployment flexibility, and services coverage.
Secondary inputs encompassed a systematic review of technical documentation, release notes, and public case studies to corroborate capability claims and to identify emerging feature trajectories such as AI-assisted modeling and cloud-rendering performance improvements. Throughout the process, findings were iteratively validated with independent industry experts and technical practitioners to ensure practical relevance and to reduce bias. The methodology emphasizes transparency in criteria selection and provides reproducible assessment steps to enable readers to apply the same framework to vendor shortlists and internal pilots.
Synthesis of strategic imperatives demonstrating how integration, governance, and hybrid deployment enable CAD investments to drive product development resilience and speed
In conclusion, 3D CAD software sits at the intersection of design creativity and disciplined engineering, and recent developments are accelerating its evolution into a collaborative, cloud-aware, and simulation-integrated platform. Organizations that treat CAD as part of a broader digital thread-one that is governed, extensible, and aligned with manufacturing and compliance systems-stand to gain measurable improvements in development velocity and product quality. Key enablers include modular deployment architectures that support hybrid cloud use cases, investment in simulation early in the design cycle, and procurement approaches that prioritize contractual flexibility and professional services capacity.
As vendors continue to expand capabilities through partnerships and platform enhancements, buyers should emphasize interoperability, data governance, and the availability of regional services. Adopting these priorities will reduce operational friction and increase the likelihood that CAD investments translate into faster validation cycles, better cross-functional collaboration, and more resilient supply chain interactions. The path forward is one of integration, standardization, and disciplined capability delivery.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
196 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of generative design tools powered by AI to automate complex part geometries and weight optimization
- 5.2. Growing integration of cloud-based collaboration platforms enabling real-time multi-user editing and version control across distributed engineering teams
- 5.3. Increased adoption of digital twin simulation features within CAD environments for predictive maintenance and performance analysis of physical assets
- 5.4. Rising demand for cross-platform interoperability standards to streamline CAD data exchange between disparate engineering and manufacturing systems
- 5.5. Expansion of augmented reality and virtual reality visualization modules integrated into CAD for immersive prototyping and design reviews with stakeholders
- 5.6. Emergence of parameter-free direct modeling workflows to simplify design modifications and accelerate iteration cycles for non-expert users
- 5.7. Incorporation of additive manufacturing optimization toolchains in CAD to generate support structures and orientation strategies for 3D printing
- 5.8. Implementation of low-code automation APIs enabling customization of repetitive CAD tasks and integration with enterprise PLM and ERP systems
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. 3D CAD Software Market, by End User Industry
- 8.1. Aerospace & Defense
- 8.1.1. Commercial
- 8.1.2. Military
- 8.2. Architecture Engineering & Construction
- 8.3. Automotive
- 8.3.1. Oem
- 8.3.2. Tier Supplier
- 8.4. Consumer Goods & Retail
- 8.5. Electronics & Semiconductors
- 8.6. Industrial Machinery & Heavy Equipment
- 8.7. Medical Devices
- 9. 3D CAD Software Market, by Deployment Type
- 9.1. Cloud
- 9.1.1. Hybrid Cloud
- 9.1.2. Private Cloud
- 9.1.3. Public Cloud
- 9.2. On-Premise
- 10. 3D CAD Software Market, by Application
- 10.1. 3D Modeling & Simulation
- 10.2. Data Management
- 10.2.1. Pdm
- 10.2.2. Plm
- 10.3. Visualization & Rendering
- 11. 3D CAD Software Market, by Component
- 11.1. Service
- 11.1.1. Maintenance Service
- 11.1.2. Professional Service
- 11.2. Software
- 12. 3D CAD Software Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. 3D CAD Software Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. 3D CAD Software Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. 3D Systems Corporation
- 15.3.2. Altair Engineering Inc
- 15.3.3. ANSYS Inc
- 15.3.4. Ashlar-Vellum
- 15.3.5. Autodesk Inc
- 15.3.6. Aveva Group plc
- 15.3.7. Bentley Systems Inc
- 15.3.8. Bricsys NV
- 15.3.9. Cadonix Ltd
- 15.3.10. CAXA Technology Co Ltd
- 15.3.11. Dassault Systèmes
- 15.3.12. ESI Group
- 15.3.13. Graebert GmbH
- 15.3.14. Graphisoft SE
- 15.3.15. Hexagon AB
- 15.3.16. IronCAD LLC
- 15.3.17. Kubotek Corporation
- 15.3.18. Nemetschek Group
- 15.3.19. Open Mind Technologies AG
- 15.3.20. Oracle Corporation
- 15.3.21. PTC Inc
- 15.3.22. Schott Systeme GmbH
- 15.3.23. Siemens AG
- 15.3.24. Trimble Inc
- 15.3.25. ZWSOFT Co Ltd
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