Global, September 17, 2025

News Summary

The global Building Information Modeling market is on a rapid growth path, driven by AI, cloud platforms, sustainability targets and wider use of BIM for operations and asset management. Market value is projected to rise markedly, supported by demand for 4D scheduling and 5D cost integration. Large programs at airports demonstrate centralized cloud platforms managing thousands of documents, speeding reviews and issue resolution, while digitally delivered hotel projects show streamlined coordination and lower waste. Pilots of digital twins aim to link construction data with long-term maintenance, making BIM a core lifecycle platform for the built environment.

Global Building Information Modeling Market Set to Nearly Triple by 2033; Airport Authority Case Shows Large-Scale Digital Adoption

Key takeaway: A market research report published on September 16, 2025 projects that the global Building Information Modeling (BIM) market will grow from about $8.53 billion in 2024 to roughly $23.74 billion by 2033, a compound annual growth rate of 11.8% over the forecast period. At the same time, a major airport authority is scaling cloud-based construction software across a multibillion-dollar capital program, illustrating how BIM is moving from design into full lifecycle asset management.

Why the market is growing

The report identifies several primary growth drivers. Integration of artificial intelligence and machine learning is automating routine BIM tasks such as clash detection, predictive maintenance, and design optimization. Rising adoption of cloud-based BIM platforms is enabling real-time collaboration and centralized access to models. A stronger focus on sustainability and green building design is encouraging use of BIM tools for energy modeling and lifecycle analysis. Finally, the expansion of BIM use beyond design into asset management and operations is increasing demand for platforms that span the entire project lifecycle.

Technology and deployment trends

The report highlights a clear shift toward cloud and SaaS models that support remote work, version control, and centralized security. 4D (time) and 5D (cost) capabilities are becoming more common to improve planning, resource allocation, and budget control. AI and ML applied to BIM data are described as helping reduce errors, shorten delays, and improve cost efficiency, pushing the industry toward more intelligent, data-driven construction management tools.

Policy and regional drivers

Governments in several countries are mandating BIM for public infrastructure to boost transparency, lower overruns, and standardize documentation. The report covers regional forecasts and national examples, noting that demand is being shaped by national digital construction strategies and compliance standards.

A large airport authority’s digital rollout

An airport authority managing a major international airport that now handles about 32 million passengers per year has been cited as a real-world example of large-scale BIM adoption. The authority has been migrating its project and asset data onto a cloud construction platform since initial BIM work began in 2019 and moved further in 2022. The digital program now supports over 1,500 users and invites more than 200 supplier companies into a connected data environment.

The airport is executing a roughly $1.8 billion capital investment program that covers more than 140 individual projects. The program aims to increase capacity toward a forecast of 40 million passengers per year by 2030 and includes specific sustainability goals such as a targeted 51% reduction in carbon emissions by 2030 and a move toward net-zero energy use by 2050. Project categories range from asset maintenance and capacity upgrades to security, commercial facilities, and technology investments like biometrics and data analytics.

Operational benefits observed

The authority reports that centralizing information on a single cloud platform has helped standardize delivery processes, improve collaboration between construction and operations teams, and increase transparency. Reported operational metrics include:

Digital twin pilot and data flow

The authority is piloting a digital twin tool to connect asset, space, and system information and to explore how asset management might link directly to the construction data environment. The pilot examines bidirectional data flows so construction data can inform design and planning, and operational data can feed back into maintenance and future projects.

Industry examples beyond airports

Separately, a mid-market hotel project in a city center demonstrated the use of a digital-first delivery approach with ISO 19650-aligned processes and a collaborative 3D model environment. That project delivered improved certainty, lower waste, and efficiency gains despite BIM not being a contractual requirement.

Report scope and structure

The research report provides global, regional and country forecasts, trend analysis from 2021 to 2033, and segmentation by component (software, services), deployment (on-premises, cloud), project lifecycle (preconstruction, construction, operation), application (design, planning, asset management), building type, and region. It includes detailed chapter coverage on methodology, market drivers, component and deployment trends, lifecycle analyses, applications, building types, regional estimates, and competitive landscape, including company profiling and market positioning.

What this means for construction stakeholders

The convergence of cloud platforms, AI/ML, and lifecycle-focused BIM is pushing the industry toward platforms that support design, construction, and operations in a single ecosystem. Owners, contractors, designers, and asset managers can expect continued investment in tools that improve visibility, speed decision-making, and link sustainability goals to measurable project outcomes.


Frequently Asked Questions

What is the expected size of the global BIM market by 2033?

The market is projected to reach about $23.74 billion by 2033.

What is driving BIM market growth?

Key drivers include integration of AI/ML, wider adoption of cloud-based platforms, focus on sustainability, and expansion into asset management and operations.

How are large owners using BIM today?

Large owners are centralizing project and asset data on cloud platforms, using digital workflows to speed reviews and issue resolution, and piloting digital twin tools for ongoing asset management.

What operational improvements have been reported with cloud BIM?

Reported improvements include faster review cycles (about 3.5x speed), quicker issue resolution (3x), and faster RFI handling (1.5x).

Which BIM capabilities are becoming more common?

4D scheduling and 5D cost estimation, AI-enabled optimization and predictive maintenance, and SaaS delivery models are becoming more prevalent.

Key features at a glance

Feature What it does Why it matters
AI / ML Automates clash detection, predicts maintenance, optimizes design Reduces errors, shortens delays, improves cost efficiency
Cloud / SaaS Centralized model access, real-time collaboration, version control Supports remote work, enhances security, speeds delivery
4D / 5D Links schedule and cost to model data Improves planning, resource allocation, and budget control
Digital twin Connects construction data to operations and assets Enables lifecycle management and informed decision-making
Standardized processes Common data environments and ISO-aligned workflows Improves transparency and reduces project risk

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