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市場調査レポート
商品コード
1764802
モデルベースエンタープライズ市場規模、シェア、成長分析、提供別、展開タイプ別、業界別、地域別 - 産業予測、2025年~2032年Model Based Enterprise Market Size, Share, and Growth Analysis, By Offering (Solutions, Services), By Deployment Type (On-Premises, Cloud-Based), By Industry, By Region - Industry Forecast 2025-2032 |
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モデルベースエンタープライズ市場規模、シェア、成長分析、提供別、展開タイプ別、業界別、地域別 - 産業予測、2025年~2032年 |
出版日: 2025年07月02日
発行: SkyQuest
ページ情報: 英文 196 Pages
納期: 3~5営業日
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モデルベースエンタープライズの世界市場規模は、2023年に142億米ドルと評価され、予測期間(2025年~2032年)のCAGRは16.3%で成長し、2024年の165億1,000万米ドルから2032年には552億7,000万米ドルに成長する見通しです。
世界のモデルベースエンタープライズ(MBE)市場は、組織が複雑な製品ライフサイクルを通じてシームレスなデジタル継続性を優先するにつれて牽引力を増しています。データのサイロ化やプロセスの分断といった課題がある中、MBEプラットフォームは、チーム間のコラボレーションを強化し、最終的にコストのかかる手戻りを減らして、航空宇宙から自動車まで、さまざまな産業における市場投入までの時間を短縮する、統合された真実のソースを提供します。この市場を強化する主な動向には、企業のエコシステム内での拡張性と統合を促進するクラウドネイティブなMBEソリューションへの移行や、ルーチンタスクを自動化し、設計上の意思決定に貴重な洞察を提供するAI主導の機能の組み込みなどがあります。さらに、特に防衛やヘルスケアなどの規制分野では、業界固有の拡張機能に対する需要が高まっており、ベンダーは厳格なコンプライアンス要件やセキュリティ要件に準拠したソリューションのカスタマイズに取り組んでいます。
Global Model Based Enterprise Market size was valued at USD 14.2 billion in 2023 and is poised to grow from USD 16.51 billion in 2024 to USD 55.27 billion by 2032, growing at a CAGR of 16.3% during the forecast period (2025-2032).
The global model-based enterprise (MBE) market is gaining traction as organizations prioritize seamless digital continuity throughout complex product lifecycles. With challenges such as data silos and fragmented processes, MBE platforms provide a cohesive source of truth that enhances collaboration across teams, ultimately reducing costly rework and accelerating time-to-market in diverse industries, from aerospace to automotive. Key trends bolstering this market include the shift towards cloud-native MBE solutions, which facilitate scalability and integration within enterprise ecosystems, and the incorporation of AI-driven features that automate routine tasks and offer valuable insights for design decisions. Additionally, there is a growing demand for industry-specific extensions, particularly in regulated sectors like defense and healthcare, prompting vendors to customize solutions that adhere to stringent compliance and security requirements.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Model Based Enterprise market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Model Based Enterprise Market Segments Analysis
Global Model Based Enterprise Market is segmented by Offering, Deployment Type, Industry and region. Based on Offering, the market is segmented into Solutions and Services. Based on Deployment Type, the market is segmented into On-Premises and Cloud-Based. Based on Industry, the market is segmented into Aerospace, Automotive, Construction, Retail, Power & Energy, Food & Beverages, Life Sciences & Healthcare, Marine, Oil & Gas, Electronics & Telecommunications and Other Industries. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Model Based Enterprise Market
The Global Model Based Enterprise market is driven by the growing demand for organizations to break down data silos and foster collaboration among engineering, manufacturing, and service teams. Model-based enterprise platforms are increasingly being recognized for their ability to provide a unified, authoritative digital twin or representation of projects throughout each stage of the product lifecycle. This integration helps to mitigate errors caused by manual handovers and streamlines time-to-market. Additionally, maintaining digital continuity enhances the efficient movement of interdisciplinary tasks while incorporating real-time change management and traceability, which is especially critical in regulated industries that typically follow quadrant-based frameworks.
Restraints in the Global Model Based Enterprise Market
The Global Model Based Enterprise market faces significant challenges due to the complex and lengthy implementation process of model-based enterprise platforms. This often necessitates extensive customization, integration with existing traditional systems, and comprehensive staff training. Transitioning from traditional document-centric processes to a fully digital model environment can prove to be quite intricate, often requiring prolonged pilot projects and unforeseen costs that extend beyond the initial budget. For many mid-sized businesses, the substantial investment of capital and time required to configure and validate these platforms acts as a major barrier to adoption, ultimately increasing cycle times and hindering market penetration.
Market Trends of the Global Model Based Enterprise Market
The Global Model-Based Enterprise (MBE) market is witnessing a significant trend driven by advancements in AI-driven automation and generative design. With AI and machine learning evolving from basic rule-based checks to robust generative design capabilities, organizations are experiencing a transformative shift. Engineers can now establish top-level functional requirements, enabling AI algorithms to evaluate countless configurations and recommend optimal designs based on criteria such as weight, strength, and thermal performance. This progression reduces manual iterations, accelerates decision-making in the proposal phase, and integrates intelligent assistance within MBE workflows. While domain expertise remains essential for defining high-level requirements and guiding AI processes, the transition from model verification to model generation is poised to enhance product development speed and foster innovation across industries.