デジタルツインテクノロジーの市場規模：タイプ、用途、エンドユーザー産業、地域別、2024年～2031年

デジタルツインテクノロジー市場の評価、2024年～2031年

デジタルツインテクノロジー市場は、インダストリー4.0の採用、IoTの進歩、様々な産業における予測メンテナンスや製品最適化の需要により需要が拡大しています。Verified Market Researchのアナリストによると、同市場は2024年に543億7,000万米ドルの収益を下回り、予測期間中に1,355億8,000万米ドルの評価額に達すると推計されています。

この急速に進化する市場で優位に立つには、継続的な技術革新が鍵となります。この需要の急増により、市場は2024年から2031年にかけてCAGR12.10%で成長します。

デジタルツインテクノロジーの定義/概要

デジタルツインテクノロジーとは、基本的に物理的な物体やシステムの仮想レプリカを作成することです。この仮想モデルは、常にデータを供給するセンサーを通じて現実世界とリンクしています。

デジタルツインは、物理的実体のデジタル・カウンターパートとして機能し、その挙動や特性を反映します。これは単純な機械から都市全体まで何でもあり得る。デジタルツインは従来のシミュレーションとは異なり、リアルタイムのデータで常に更新されます。

企業はデジタルツインを使用して、製品やプロセスが異なる条件下でどのように動作するかを予測することができます。これは、設計を最適化し、潜在的な問題を現実世界で発生する前に特定するのに役立ちます。

デジタルツインテクノロジーの需要を急増させる要因は何ですか？

モノのインターネット（IoT）とビッグデータ解析がデジタルツインの基礎です。物理的な物体に埋め込まれたIoTセンサーが目となり耳となり、性能、動作状況、環境要因に関するリアルタイムデータを常に収集します。このデータストリームは、業務の頭脳であるビッグデータ分析プラットフォームに流れ込みます。ここでは、洗練されたアルゴリズムがデータを処理し、貴重な洞察を抽出し、パターンを特定します。これらの洞察は、デジタルツインの更新と改良に使用され、物理的な対応物の正確な仮想表現であり続けることを保証します。

さらに、企業は常にプロセスを合理化し、非効率を特定し、メンテナンスの必要性を予測する方法を模索しています。デジタルツインは、まさにそれを可能にします。仮想的にシナリオをシミュレートすることで、主要企業は実際の導入前にプロセスをテストし、改良することができ、大幅なコスト削減と効率改善につながります。

製品を迅速に市場に投入する競争は、大きな原動力となっています。デジタルツインにより、企業は物理的なモデルを構築する前に、バーチャルで新製品のプロトタイプを作成し、テストすることができます。これにより、開発期間が短縮されるだけでなく、設計上の欠陥の早期発見と修正が可能になり、最終的に市場投入までの時間が短縮されます。

デジタルツインテクノロジーの成長を妨げる要因は？

デジタルツインの実装と維持は複雑でコストがかかります。このような仮想モデルを構築し、実行するには、データサイエンス、IoT、デジタルエンジニアリングなどの分野でかなりの専門知識が必要です。企業は、データ収集やモデリングからシミュレーションや分析に至るまで、デジタルツインのライフサイクル全体を通して開発・管理するために、熟練した専門家を雇う必要があります。

異なるデジタルツイン・ソリューションは互いに互換性がない可能性があり、データ交換が妨げられ、技術の全体的な有用性が制限されます。標準化の努力は行われているが、プラットフォーム間のシームレスな相互運用性を確保することは依然として課題です。

さらに、デジタルツインの潜在的なメリットは明らかであるが、ROIを定量化することは困難です。この不確実性により、企業は特に短期的にはテクノロジーへの投資をためらうことになります。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主な調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 デジタルツインテクノロジー市場：タイプ別

• プロダクトデジタルツイン
• プロセスデジタルツイン
• システムデジタルツイン
• 資産パフォーマンスデジタルツイン

第5章 デジタルツインテクノロジー市場：用途別

• 予知保全
• 製品設計と開発
• サプライチェーンの最適化
• 遠隔監視と制御
• パフォーマンスの最適化

第6章 デジタルツインテクノロジー市場：エンドユーザー産業別

• 製造業
• エネルギー・公益事業
• 運輸・物流
• ヘルスケア
• スマートシティとインフラ

第7章 地域分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• ABB
• ANSYS
• Autodesk
• AVEVA
• AWS（Amazon Web Services）
• Dassault Systemes
• GE Digital
• General Electric
• Hexagon
• IBM
• Microsoft
• PTC

第11章 市場の展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 出典と参考文献

Digital Twin Technology Market Valuation - 2024-2031

The Digital Twin Technology Market is growing in demand due to Industry 4.0 adoption, IoT advancements, and demand for predictive maintenance and product optimization in various industries. According to the analyst from Verified Market Research, the market is estimated to reach a valuation of 135.58USD Billion over the forecast by subjugating the revenue of 54.37 USD Billion in 2024.

Continuous innovation is key to staying ahead in this rapidly evolving market. This surge in demand enables the market to grow at aCAGR of 12.10 % from 2024 to 2031.

Digital Twin Technology Definition/ Overview

Digital twin technology is essentially creating a virtual replica of a physical object or system. This virtual model is linked to the real world through sensors that constantly feed its data.

digital twin acts as a digital counterpart to a physical entity, mirroring its behavior and characteristics. This can be anything from a simple machine to an entire city. Digital twins are distinct from traditional simulations in that they are constantly updated with real-time data, whereas simulations typically use static data sets.

Businesses can use digital twins to predict how a product or process will behave under different conditions. This helps in optimizing designs and identifying potential problems before they occur in the real world.

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What are the factors that surge the demand for Digital Twin Technology?

The Internet of Things (IoT) and big data analytics are the cornerstones of digital twins. IoT sensors embedded in physical objects act as the eyes and ears, constantly collecting real-time data on performance, operating conditions, and environmental factors. This data stream flows into big data analytics platforms, the brains of the operation. Here, sophisticated algorithms churn through the data, extracting valuable insights and identifying patterns. These insights are then used to update and refine the digital twin, ensuring it remains an accurate virtual representation of its physical counterpart.

Furthermore, Businesses are constantly seeking ways to streamline processes, identify inefficiencies, and predict maintenance needs. Digital twins empower them to do just that. By simulating scenarios virtually, companies can test and refine processes before real-world implementation, leading to significant cost savings and improved efficiency.

The race to bring products to market quickly is a major driver. Digital twins allow companies to virtually prototype and test new products before building physical models. This not only reduces development time but also allows for early identification and correction of design flaws, ultimately accelerating time to market.

What factors hinder the growth of Digital Twin Technology?

Implementing and maintaining digital twins can be complex and expensive. Building and running these virtual models requires significant expertise in areas like data science, IoT, and digital engineering. Companies need to hire skilled professionals to develop and manage the digital twin throughout its lifecycle, from data collection and modeling to simulation and analysis.

Different digital twin solutions may not be compatible with each other, hindering data exchange and limiting the overall usefulness of the technology. Standardization efforts are underway, but ensuring seamless interoperability across platforms remains a challenge.

Moreover, While the potential benefits of digital twins are clear, quantifying the ROI can be challenging. This uncertainty can make businesses hesitant to invest in the technology, especially in the short term.

Category-Wise Acumens

How does the increasing adoption of Product Digital Twins impact the market growth?

According to VMR analysis, Product Digital Twins are estimated to hold the largest market share during the forecast period. It focuses on optimizing performance and predicting the maintenance needs of individual products.

These are dominant in industries where individual products have high value and complexity, such as aerospace (think airplanes with millions of parts) or high-tech manufacturing (think advanced machinery with intricate control systems). By creating a digital replica of each product, incorporating data from sensors and historical performance, companies can achieve a level of precision in monitoring and simulation that would be impossible with physical prototypes alone. This allows them to predict maintenance needs well in advance, preventing costly downtime and potential safety hazards. Additionally, product digital twins can be used to optimize performance throughout the product's lifecycle.

How Manufacturing Vehicles segment propel the growth of Digital Twin Technology?

According to VMR analysis, Manufacturing Vehicles are estimated to hold the largest market share during the forecast period.

Manufacturing often deals with products that boast intricate designs, incorporate expensive components, and are subject to stringent safety regulations (think airplanes or high-tech machinery). Digital twins excel at creating virtual replicas of these products, allowing for precise performance monitoring, predictive maintenance that can prevent costly downtime and potential safety hazards, and design optimization that can reduce manufacturing costs or improve product functionality.

Digital twins allow manufacturers to virtually prototype and test these machines, ensuring they meet safety standards and perform as expected before they are built in the real world. This not only reduces development costs but also helps to identify and rectify design flaws early in the process.

Digital Twin Technology

Report Methodology

Country/Region-wise Acumens

How is the demand for Autonomous Cars Influencing the growth of market in North America?

According to VMR analysts, North America is estimated to dominate the Digital Twin Technology market during the forecast period. North America is home to a large number of leading technology companies that are at the forefront of developing and deploying digital twin solutions. These companies include Microsoft, PTC, Siemens, Ansys, and Dassault Systemes. These giants of the tech industry are not only investing heavily in the research and development of digital twin technologies but also actively implementing these solutions in various sectors.

The presence of established manufacturing industries in sectors like aerospace, automotive, and consumer products creates a strong demand for digital twins to optimize processes and product development.

Furthermore, Government initiatives and funding programs in North America are specifically designed to accelerate the adoption of digital twin technology across various industries. For example, the U.S. Department of Energy has launched programs that provide funding for research and development projects focused on using digital twins to improve energy efficiency in buildings and industrial facilities. Additionally, several states have enacted legislation that promotes the use of digital twins in manufacturing and other sectors.

What factors contribute to the potential opportunities in Europe?

Europe boasts a robust manufacturing sector and a growing focus on Industry 4.0 initiatives. Additionally, a skilled workforce and government support for digitalization are propelling the European digital twin market forward.

From aerospace and automotive giants like Airbus and BMW to leaders in industrial machinery like Siemens and Bosch, European companies are at the forefront of manufacturing innovation. This strong industrial base creates a significant demand for digital twins to optimize production lines, streamline supply chains, and improve product quality.

Europe is a hub of research and development in digital technologies. Government funding and initiatives are propelling advancements in artificial intelligence, big data analytics, and the Internet of Things (IoT), all of which are foundational elements of digital twin technology. A skilled workforce with expertise in engineering, data science, and software development further strengthens Europe's position in the digital twin market.

Furthermore, governments across Europe are actively promoting digitalization initiatives, including Industry 4.0, which relies heavily on digital twins. For example, Germany's Industry 4.0 strategy aims to create a digital transformation of manufacturing and digital twins are seen as a key technology for achieving this goal.

Competitive Landscape

The digital twin technology market is a dynamic and competitive space teeming with established industry leaders, innovative startups, and a growing number of tech giants vying for a significant share of the market.

Some of the prominent players operating in the Digital Twin Technology

ABB

ANSYS

Autodesk

AVEVA

AWS (Amazon Web Services)

Dassault Systemes

GE Digital

General Electric

Hexagon

IBM

Microsoft

PTC

Latest Developments

In February 2024, Ansys partnered with Dassault Systemes to integrate their respective simulation and 3DEXPERIENCE platform for a more holistic digital twin experience.

In July 2024, Dassault Systemes: Partnered with Ansys to integrate simulation tools with their 3DEXPERIENCE platform for a more comprehensive digital twin solution

In April 2024, Hexagon: Acquired PAS Global, a company specializing in asset lifecycle information management, which can be valuable for building and maintaining digital twins

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Digital Twin Technology Market, By Type

• Product Digital Twins
• Process Digital Twins
• System Digital Twins
• Asset Performance Digital Twins

5. Digital Twin Technology Market, By Applications

• Predictive Maintenance
• Product Design and Development
• Supply Chain Optimization
• Remote Monitoring and Control
• Performance Optimization

6. Digital Twin Technology Market, By End-User Industry

• Manufacturing
• Energy and Utilities
• Transportation and Logistics
• Healthcare
• Smart Cities and Infrastructure

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• ABB
• ANSYS
• Autodesk
• AVEVA
• AWS (Amazon Web Services)
• Dassault Systemes
• GE Digital
• General Electric
• Hexagon
• IBM
• Microsoft
• PTC

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References