빌딩 정보 모델링 시장 : 구성요소별, 전개 형태별, 프로젝트 규모별, 용도별, 최종사용자별 - 세계 예측(2025-2030년)

The Building Information Modeling Market was valued at USD 7.63 billion in 2024 and is projected to grow to USD 8.58 billion in 2025, with a CAGR of 12.92%, reaching USD 15.83 billion by 2030.

Unlocking Collaborative Potential and Operational Efficiency as We Introduce Integrated Building Information Modeling to Revolutionize Project Lifecycles

The construction industry is undergoing a profound transformation driven by the digital integration of design, engineering, and operations. This shift is anchored by Building Information Modeling, which has evolved from a specialized drafting tool into a collaborative platform that unifies stakeholders across the entire project lifecycle. As organizations strive for greater efficiency, accuracy, and sustainability, BIM has become indispensable for delivering complex structures on time and within budget.

In today's environment, the adoption of BIM is propelled by stakeholder demands for real-time data, enhanced visualization, and predictive insights that reduce risk. Early adopters are leveraging model-based workflows to accelerate decision-making, automate routine tasks, and foster innovation in sustainable design. As a result, the technology is no longer a niche investment but a strategic imperative for firms seeking competitive differentiation.

This summary provides executives with a concise yet comprehensive overview of the critical shifts shaping the BIM landscape. It synthesizes the latest trends, regulatory impacts, segmentation insights, and regional dynamics. By highlighting transformative forces and actionable recommendations, this document equips decision-makers with the clarity and context needed to guide investments and partnerships in the digital built environment.

Navigating the Wave of Technological Disruption and Stakeholder Expectations Driving a Shift in Building Information Modeling Practices

The BIM ecosystem is experiencing a convergence of several transformative forces. Technological innovation is unlocking advanced automation through artificial intelligence and machine learning, which are enhancing clash detection, predictive maintenance, and performance analysis. At the same time, open data standards are fostering interoperability, enabling disparate tools to communicate seamlessly and reducing silos that have historically hindered project coordination.

Moreover, the increasing emphasis on sustainability and regulatory compliance is elevating BIM's strategic value. Clients and policymakers are demanding designs that minimize carbon footprints and optimize resource use, driving firms to integrate environmental analysis directly within their modeling workflows. This has triggered a rapid expansion of energy performance and sustainability modules, embedding life-cycle assessments into routine design practices.

Simultaneously, the industry's focus on remote collaboration and digital tendering is reshaping conventional working methods. Stakeholders across geographies can now engage with 3D models in real time, accelerating approvals and reducing misunderstandings. These shifts underscore a fundamental evolution: BIM is no longer confined to design offices but is becoming the operational backbone of construction and facilities management.

Analyzing the Ripple Effects of Newly Imposed United States Tariffs on Construction Material Flows and Digital Modeling Workflows in 2025

In 2025, newly instituted tariffs on key construction materials in the United States have created ripple effects across the BIM supply chain. Firms reliant on imported steel, aluminum, and specialized components have encountered elevated costs that reverberate through procurement, design, and project delivery phases. This scenario has underscored the importance of scenario planning within BIM environments, where cost parameters can be adjusted instantly to reflect tariff variations.

As a result, forward-thinking organizations are integrating real-time cost databases with their BIM platforms to maintain budgetary control and explore alternative materials or sourcing strategies. Digital twin simulations now incorporate tariff scenarios, enabling teams to assess the financial impact of different design options before committing to procurement.

Furthermore, the introduction of these trade barriers has accelerated the adoption of locally sourced materials. This localization trend not only mitigates tariff exposure but also aligns with sustainability goals by reducing transportation emissions. In turn, BIM models are being enriched with material provenance and environmental impact metadata, enhancing transparency and supporting green certification processes.

Unveiling Deep Insights from Component to End User Segmentation That Illuminate Strategic Opportunities Across the BIM Technology Value Chain

A nuanced segmentation analysis reveals opportunities for targeted growth and innovation across the BIM landscape. On the component axis, software solutions are complemented by services that span consulting and advisory, system integration and implementation, ongoing support and maintenance, as well as training and certification-each addressing specific adoption barriers and user proficiency levels.

When considering deployment preferences, organizations are calibrating their choices between cloud-based and on-premise models. Cloud solutions now offer flexible hybrid environments, secure private cloud instances, and scalable public cloud platforms, while on-premise installations continue to serve projects with stringent data residency and offline collaboration requirements.

Project scale further dictates BIM strategies. Large infrastructure programs demand enterprise-grade coordination tools and centralized data governance, whereas medium-sized initiatives benefit from modular software suites. Small projects often leverage simplified, user-friendly interfaces that deliver rapid time-to-value without extensive customization.

On the application front, firms are harnessing BIM for architectural design, collaboration, clash detection, construction management, cost estimation and quantity take-off, energy performance analysis, facility and asset management, MEP engineering, project scheduling, and structural design. Each use case drives unique software requirements and integration needs.

Finally, end users-from architects and engineers to contractors, facility managers, and surveyors-are demanding tailored workflows. Architects emphasize early design visualization, structural engineers focus on load analysis, contractors prioritize constructability reviews, and facility managers require asset intelligence for long-term operations. This multifaceted segmentation underscores the need for flexible, interoperable platforms that can adapt to diverse professional demands.

Mapping Regional Dynamics and Growth Drivers from the Americas to Asia-Pacific That Shape the Future of Building Information Modeling Globally

Geographic dynamics are reshaping BIM adoption in distinct ways across major regions. In the Americas, rapid infrastructure investment and the modernization of aging facilities are fueling demand for integrated modeling solutions. North American firms are pioneering advanced automation and AI-driven analytics, while Latin American markets are embracing cloud-based deployments to overcome legacy IT constraints.

Across Europe, the Middle East, and Africa, regulatory frameworks promoting sustainability and digital transformation are hotbeds for innovation. Western European countries are implementing rigorous green building standards, driving the integration of energy performance modules. In the Middle East, large-scale urban development projects are leveraging BIM to coordinate complex designs, while African markets are gradually building capacity through training and certification initiatives.

Asia-Pacific stands out for its massive urbanization and government-led smart city programs. Public sector mandates in countries such as China, Japan, and Australia are accelerating BIM enforcement, prompting private firms to adopt on-premise and hybrid cloud solutions. Rapidly growing markets in Southeast Asia are capitalizing on scalable cloud infrastructures to bridge skill gaps and expand digital collaboration.

Profiling Key Industry Players and Their Strategic Initiatives That Are Shaping Innovation and Competition in the Building Information Modeling Market

Leading technology providers are intensifying their focus on interoperability, cloud innovation, and AI-driven analytics. Some have expanded their offerings through strategic acquisitions, integrating specialized clash detection and energy analysis tools into their core platforms. Others have forged partnerships with construction consortiums to tailor solutions for large infrastructure programs, embedding regulatory compliance checks and sustainability metrics directly within modeling workflows.

Service-oriented firms are differentiating by offering end-to-end advisory and implementation packages, coupling process reengineering expertise with technical deployment. These consultancies are increasingly bundling training and certification services to accelerate user adoption and maximize return on investment. Meanwhile, support and maintenance providers are leveraging predictive analytics to anticipate system issues and reduce downtime, enhancing SLA adherence.

In parallel, niche players are focusing on high-value applications such as facility and asset management, delivering digital twin capabilities that extend BIM's reach into operational phases. By integrating IoT sensor data with model geometries, these innovators are enabling real-time performance monitoring and predictive maintenance, solidifying BIM's role as a continuous value generator throughout an asset's lifecycle.

Actionable Strategies for Industry Leaders to Accelerate Digital Adoption and Enhance Collaboration in an Evolving Building Information Modeling Ecosystem

Industry leaders should prioritize interoperability by adopting open data standards and APIs that facilitate seamless collaboration between tools and stakeholders. Investing in cloud-native architectures ensures scalability and remote accessibility, which are critical for distributed teams and large-scale infrastructure projects. Furthermore, embedding AI and machine learning capabilities in core BIM modules can automate repetitive tasks and enhance predictive insights, accelerating decision cycles.

It is imperative to develop comprehensive training and certification programs that address skill gaps and promote best practices across diverse user groups. By aligning educational pathways with practical use cases, organizations can drive higher adoption rates and reduce operational friction.

On the procurement front, firms must integrate real-time cost and tariff data within their BIM environments to enable agile financial modeling. Establishing strategic sourcing partnerships for locally available materials will mitigate exposure to trade policy fluctuations while supporting sustainability objectives.

Finally, cultivating cross-functional teams that unite architects, engineers, contractors, and facility managers under a shared digital platform will enhance transparency and accountability. This collaborative approach fosters innovation, optimizes resource allocation, and reinforces BIM as a strategic asset rather than a siloed technology.

Rigorous Multistage Research Methodology Combining Primary Interviews and Secondary Data Analysis for Robust Building Information Modeling Market Insights

This research employs a multistage approach to ensure robustness and credibility. Primary insights were gathered through interviews with senior executives, BIM managers, and technical experts across architecture, engineering, construction, and operations sectors. These discussions provided qualitative perspectives on adoption drivers, pain points, and technology roadmaps.

Secondary research encompassed a thorough review of industry publications, regulatory frameworks, and technology white papers. Publicly available company disclosures and project case studies were analyzed to capture recent developments and strategic initiatives. Data triangulation techniques were then applied, cross-verifying findings from different sources to minimize bias and validate trends.

Quantitative analysis leveraged usage metrics from leading BIM platforms, procurement databases, and tariff schedules to contextualize cost impacts and regional dynamics. Segmentation models were constructed by mapping software functionalities and service offerings to specific user needs, deployment modes, project scales, application areas, and end-user categories.

Finally, iterative workshops with domain specialists refined the insights and recommendations, ensuring alignment with real-world practices and emerging market opportunities.

Synthesizing Core Findings to Chart a Clear Path Forward for Stakeholders in an Increasingly Digitized Construction Landscape

The convergence of technological innovation, regulatory pressure, and evolving stakeholder expectations is propelling Building Information Modeling from a specialized tool to a foundational platform in the digital construction era. Advanced analytics, cloud-based collaboration, and material cost integration are redefining project workflows, while sustainability imperatives and tariff considerations are reshaping sourcing and design strategies.

Segmented insights reveal that success hinges on a balanced approach to software and services, flexible deployment architectures, and tailored applications that address the distinct needs of architects, engineers, contractors, and facility managers. Regional analyses underscore the importance of localized strategies, with each major market exhibiting unique growth drivers and adoption patterns.

Key players are differentiating through strategic acquisitions, partnership ecosystems, and the embedding of AI and IoT capabilities to extend BIM's value into operational phases. Ultimately, organizations that adopt open standards, invest in training, and integrate real-time cost modeling will be best positioned to navigate uncertainty and drive long-term efficiency.

This summary lays the groundwork for informed decision-making, enabling stakeholders to harness BIM's full potential and secure competitive advantage in the rapidly digitizing built environment.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

• 4.1. Introduction
• 4.2. Market Sizing & Forecasting

5. Market Dynamics

• 5.1. Increasing adoption of cloud-based BIM platforms for remote collaboration in large-scale construction projects
• 5.2. Integration of digital twin technology with BIM for real-time facility management and asset lifecycle optimization
• 5.3. Growing emphasis on sustainability and energy efficiency analysis within BIM for green building certification compliance
• 5.4. Advancements in interoperability standards enabling seamless data exchange between BIM and GIS platforms for infrastructure planning
• 5.5. Adoption of automation and generative design tools within BIM workflows to accelerate project delivery and reduce costs
• 5.6. Rise of mobile and augmented reality BIM applications for on-site visualization and quality assurance in construction management
• 5.7. Embedding IoT sensor data within BIM models for live infrastructure monitoring and predictive maintenance
• 5.8. Implementing AR and VR overlays on BIM models to enhance on-site visualization and construction precision
• 5.9. Advancing sustainability goals by integrating environmental impact simulations into BIM-driven design processes
• 5.10. Integrating cloud-based collaboration platforms to enable real-time multi-disciplinary BIM coordination across geographies

6. Market Insights

• 6.1. Porter's Five Forces Analysis
• 6.2. PESTLE Analysis

7. Cumulative Impact of United States Tariffs 2025

8. Building Information Modeling Market, by Component

• 8.1. Introduction
• 8.2. Service
  • 8.2.1. Consulting & Advisory
  • 8.2.2. Implementation & System Integration
  • 8.2.3. Support & Maintenance
  • 8.2.4. Training & Certification
• 8.3. Software

9. Building Information Modeling Market, by Deployment Mode

• 9.1. Introduction
• 9.2. Cloud-based
  • 9.2.1. Hybrid Cloud
  • 9.2.2. Private Cloud
  • 9.2.3. Public Cloud
• 9.3. On Premise

10. Building Information Modeling Market, by Project Size

• 10.1. Introduction
• 10.2. Large
• 10.3. Medium
• 10.4. Small

11. Building Information Modeling Market, by Application

• 11.1. Introduction
• 11.2. Architectural Design
• 11.3. Collaboration, Clash Detection & Visualization
• 11.4. Construction Management
• 11.5. Cost Estimation & Quantity Take-off
• 11.6. Energy Performance & Sustainability Analysis
• 11.7. Facility & Asset Management
• 11.8. MEP Engineering
• 11.9. Project Scheduling & Planning
• 11.10. Structural Design

12. Building Information Modeling Market, by End User

• 12.1. Introduction
• 12.2. Architects
• 12.3. Civil & Structural Engineers
• 12.4. Contractors
• 12.5. Facility Managers
• 12.6. Surveyors & BIM Coordinators

13. Americas Building Information Modeling Market

• 13.1. Introduction
• 13.2. United States
• 13.3. Canada
• 13.4. Mexico
• 13.5. Brazil
• 13.6. Argentina

14. Europe, Middle East & Africa Building Information Modeling Market

• 14.1. Introduction
• 14.2. United Kingdom
• 14.3. Germany
• 14.4. France
• 14.5. Russia
• 14.6. Italy
• 14.7. Spain
• 14.8. United Arab Emirates
• 14.9. Saudi Arabia
• 14.10. South Africa
• 14.11. Denmark
• 14.12. Netherlands
• 14.13. Qatar
• 14.14. Finland
• 14.15. Sweden
• 14.16. Nigeria
• 14.17. Egypt
• 14.18. Turkey
• 14.19. Israel
• 14.20. Norway
• 14.21. Poland
• 14.22. Switzerland

15. Asia-Pacific Building Information Modeling Market

• 15.1. Introduction
• 15.2. China
• 15.3. India
• 15.4. Japan
• 15.5. Australia
• 15.6. South Korea
• 15.7. Indonesia
• 15.8. Thailand
• 15.9. Philippines
• 15.10. Malaysia
• 15.11. Singapore
• 15.12. Vietnam
• 15.13. Taiwan

16. Competitive Landscape

• 16.1. Market Share Analysis, 2024
• 16.2. FPNV Positioning Matrix, 2024
• 16.3. Competitive Analysis
  • 16.3.1. 4M S.A.
  • 16.3.2. Accruent, LLC
  • 16.3.3. ArCADiasoft Chudzik sp.j.
  • 16.3.4. Asite Solutions Limited
  • 16.3.5. Autodesk, Inc.
  • 16.3.6. Bentley Systems, Incorporated
  • 16.3.7. Computer Methods International Corp.
  • 16.3.8. CYPE Ingenieros, S.A.
  • 16.3.9. Dassault Systemes SE
  • 16.3.10. Graphisoft SE
  • 16.3.11. Hexagon AB
  • 16.3.12. ICON-BIM
  • 16.3.13. Kahua, Inc.
  • 16.3.14. MagiCAD Group Oy
  • 16.3.15. NavVis GmbH
  • 16.3.16. Nemetschek SE
  • 16.3.17. Newforma, Inc. by Ethos Capital LP
  • 16.3.18. Oracle Corporation
  • 16.3.19. Procore Technologies, Inc.
  • 16.3.20. Revizto, SA
  • 16.3.21. Schneider Electric
  • 16.3.22. Trimble Inc.
  • 16.3.23. Siemens AG
  • 16.3.24. International Business Machines Corporation
  • 16.3.25. TUV Rheinland AG
  • 16.3.26. Tejjy Inc

17. ResearchAI

18. ResearchStatistics

19. ResearchContacts

20. ResearchArticles

21. Appendix