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市場調査レポート
商品コード
1806154
ビルディング・インフォメーション・モデリング市場:コンポーネント別、展開形態別、プロジェクト規模別、用途別、エンドユーザー別-2025-2030年世界予測Building Information Modeling Market by Component, Deployment Mode, Project Size, Application, End User - Global Forecast 2025-2030 |
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カスタマイズ可能
適宜更新あり
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ビルディング・インフォメーション・モデリング市場:コンポーネント別、展開形態別、プロジェクト規模別、用途別、エンドユーザー別-2025-2030年世界予測 |
出版日: 2025年08月28日
発行: 360iResearch
ページ情報: 英文 194 Pages
納期: 即日から翌営業日
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ビルディング・インフォメーション・モデリング市場は、2024年には76億3,000万米ドルとなり、2025年には85億8,000万米ドル、CAGR12.92%で成長し、2030年には158億3,000万米ドルに達すると予測されています。
主な市場の統計 | |
---|---|
基準年2024 | 76億3,000万米ドル |
推定年2025 | 85億8,000万米ドル |
予測年2030 | 158億3,000万米ドル |
CAGR(%) | 12.92% |
建設業界は、設計、エンジニアリング、オペレーションのデジタル統合を原動力とする大きな変革期を迎えています。この変化を支えているのがビルディング・インフォメーション・モデリングであり、これは特殊な製図ツールから、プロジェクトのライフサイクル全体にわたって利害関係者を統合するコラボレーション・プラットフォームへと進化しています。組織がより高い効率性、正確性、持続可能性を追求する中で、BIMは複雑な構造物を予算内で納期通りに提供するために不可欠なものとなっています。
BIMエコシステムは、いくつかの変革的な力の収束を経験しています。技術革新は、人工知能と機械学習による高度な自動化を解き放ち、衝突検出、予知保全、性能分析を強化しています。同時に、オープンデータ標準が相互運用性を促進し、異種ツールのシームレスな通信を可能にし、歴史的にプロジェクトの調整を妨げてきたサイロを減らしています。
2025年、米国で新たに制定された主要建設資材への関税は、BIMサプライチェーン全体に波及効果をもたらしています。輸入された鉄鋼、アルミニウム、および特殊な部品に依存している企業は、調達、設計、およびプロジェクト提供の段階を通じて反響するコスト上昇に遭遇しています。このシナリオは、関税の変動を反映するためにコストパラメータを即座に調整できるBIM環境内でのシナリオプランニングの重要性を強調しました。
ニュアンスに富んだセグメンテーション分析により、BIMランドスケープ全体で目標とする成長とイノベーションの機会が明らかになります。コンポーネント軸では、ソフトウェアソリューションは、コンサルティングとアドバイザリー、システム統合と実装、継続的なサポートとメンテナンス、トレーニングと認証にまたがるサービスによって補完され、それぞれが特定の採用障壁とユーザーの習熟度に対応しています。
地理的ダイナミクスは、主要な地域間で異なる方法でBIMの採用を再構築しています。南北アメリカ大陸では、急速なインフラ投資と老朽化した施設の近代化が、統合モデリングソリューションの需要を促進しています。北米の企業は高度な自動化とAI主導のアナリティクスを開拓しており、中南米市場はレガシーITの制約を克服するためにクラウドベースの導入を受け入れています。
大手テクノロジープロバイダーは、相互運用性、クラウドイノベーション、AI主導型アナリティクスへの注力を強化しています。戦略的買収を通じて提供サービスを拡大し、衝突検出やエネルギー解析に特化したツールをコアプラットフォームに統合した企業もあります。また、建設コンソーシアムとパートナーシップを結び、大規模なインフラプログラム向けにソリューションをカスタマイズし、規制遵守のチェックや持続可能性の指標をモデリングワークフローに直接組み込んでいる企業もあります。
業界リーダーは、ツールや利害関係者間のシームレスなコラボレーションを促進するオープンデータ標準やAPIを採用することで、相互運用性を優先すべきです。クラウドネイティブアーキテクチャに投資することで、分散チームや大規模インフラプロジェクトに不可欠なスケーラビリティとリモートアクセスを確保します。さらに、AIと機械学習機能をコアBIMモジュールに組み込むことで、反復作業を自動化し、予測的洞察を強化して意思決定サイクルを加速することができます。
本調査では、堅牢性と信頼性を確保するために多段階アプローチを採用しています。一次的な洞察は、建築、エンジニアリング、建設、運用の各分野にわたる上級幹部、BIMマネージャー、技術専門家とのインタビューを通じて収集しました。これらのディスカッションは、採用促進要因、ペインポイント、および技術ロードマップに関する定性的な視点を提供しました。
技術革新、規制圧力、利害関係者の期待の進化が融合することで、ビルディング・インフォメーション・モデリングは、専門的なツールからデジタル建設時代の基盤となるプラットフォームへと変貌を遂げつつあります。高度な分析、クラウドベースのコラボレーション、材料費の統合がプロジェクトのワークフローを再定義し、持続可能性の要請と関税への配慮が調達と設計戦略を再構築しています。
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.
KEY MARKET STATISTICS | |
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Base Year [2024] | USD 7.63 billion |
Estimated Year [2025] | USD 8.58 billion |
Forecast Year [2030] | USD 15.83 billion |
CAGR (%) | 12.92% |
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.
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.
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.
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.
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.
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.
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.
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.
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.