デジタルツインの世界市場 (2016-2030年)：レベル別、企業規模別、用途別、最終用途産業・地域別の機会および予測

世界のデジタルツイン市場は近年大きな成長を遂げており、今後も力強い拡大のペースを維持すると予測されています。収益規模は2022年の約116億2,000万米ドルから、予測期間中は30.1%のCAGRで推移し、2030年には952億6,000万米ドルの規模に成長すると予測されています。

デジタルツイン市場の拡大は、製造業などの業界でもっとも顕著であり、デジタルツインは生産プロセスを合理化し、予知保全を可能にすることで、ダウンタイムの削減と資産の有効活用を実現しています。同様に、デジタルツインはヘルスケア、自動車、エネルギー産業で、複雑な状況のモデル化、製品設計の開発、リソース配分の最大化に利用されています。物理的なモノやシステムからリアルタイムのデータを取得するIoTデバイスの成長が、デジタルツインの普及を後押ししています。これらのデバイスは、デジタルツインが現実的な仮想表現を開発するために使用するデータの絶え間ないストリームを生成し、企業がその業務について前例のない洞察を得ることを可能にします。このようなデータ主導の戦略は、デジタルツイン市場を前進させる一助となり、各業界の関心を集めています。

さらに、クラウドコンピューティング技術の進歩により、デジタルツインモデリングに必要な大量のデータの保存と取り扱いが容易になりました。クラウドベースのソリューションは拡張性とアクセシビリティを提供するため、あらゆる規模の企業が多額のIT投資を行うことなくデジタルツインの可能性を活用できます。

地域別で見ると、北米は、その技術的優位性、イノベーション主導の市場情勢、産業力により、世界のデジタルツイン市場を独占しています。最先端のイノベーションで知られるこの地域は、さまざまな産業でデジタルツイン技術の幅広い利用を推進してきました。北米の強力なR&D文化と、IoTとデータアナリティクスへの多額の支出が、同地域を最前線に押し上げてきました。同地域は、近代的なインフラ、発展したスタートアップ環境、シームレスな産学連携を活用することで、デジタルツインの有望性を活用し、業務の合理化、意思決定の精度の向上、全体的な効率化を実現しています。

当レポートでは、世界のデジタルツインの市場を調査し、市場の定義と概要、市場規模の推移・予測、各種区分・地域別の詳細分析、産業構造、市場成長への影響因子の分析、ケーススタディ、競合情勢、主要企業のプロファイルなどをまとめています。

目次

第1章 調査手法

第2章 プロジェクトの範囲と定義

第3章 COVID-19が世界のデジタルツイン市場に与える影響

第4章 ロシア・ウクライナ戦争の影響

第5章 エグゼクティブサマリー

第6章 顧客の声

• 製品と市場のインテリジェンス
• 情報源
• 購入の決定において考慮される要素
• 設置の目的
• 需要と供給のメカニズム
• 安全規制の検討と理解
• 法令遵守の適用
• 既存のユーザーまたは購入予定者

第7章 世界のデジタルツイン市場の展望

• 市場規模・予測
• レベル別
  • パーツツイニング
  • プロダクトツイニング
  • システムツイニング
  • プロセスツイニング
• 企業規模別
  • 中小企業
  • 大企業
• 用途別
  • システム予測
  • システムシミュレーション
  • 資産の相互運用性
  • メンテナンス
  • システムの視覚化
  • 製品シミュレーション
• エンドユーザー産業別
  • 物流・サプライチェーン
  • 建設
  • ヘルスケア
  • 製造
  • 小売
  • その他
• 地域別
  • 北米
  • 欧州
  • 南米
  • アジア太平洋
  • 中東・アフリカ
• 企業シェア

第8章 世界のデジタルツイン市場の展望：地域別

• 北米
• 欧州
• 南米
• アジア太平洋
• 中東・アフリカ
  • 市場規模・予測
  • レベル別
  • 企業規模別
  • 用途別
  • エンドユーザー産業別
  • 国別

第9章 市場マッピング

第10章 マクロ環境と産業構造

• バリューチェーン分析
• PESTEL分析
• ポーターのファイブフォース分析

第11章 市場力学

• 成長促進因子
• 成長抑制因子 (課題・制約)

第12章 主要企業の情勢

• 市場リーダー上位5社の競合マトリックス
• 市場リーダー上位5社の市場収益分析
• M&A・ジョイントベンチャー (該当する場合)
• SWOT分析 (参入5社)
• 特許分析 (該当する場合)

第13章 ケーススタディ

第14章 主要企業の見通し

• Amazon Web Services Inc.
• ANSYS Inc.
• General Electric Company
• IBM Corporation
• Microsoft Corporation
• Oracle Corporation
• PTC Inc.
• QiO Technologies Ltd
• Rockwell Automation Inc.
• Siemens AG.

第16章 戦略的提言

第17章 当社について・免責事項

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 2. Global Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 3. Global Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 4. Global Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 5. Global Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 6. Global Digital Twin Market Share, By Region, In USD Billion, 2016-2030F
• Figure 7. North America Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 8. North America Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 9. North America Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 10. North America Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 11. North America Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 12. North America Digital Twin Market Share, By Country, In USD Billion, 2016-2030F
• Figure 13. United States Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 14. United States Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 15. United States Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 16. United States Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 17. United States Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 18. Canada Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 19. Canada Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 20. Canada Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 21. Canada Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 22. Canada Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 23. Mexico Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 24. Mexico Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 25. Mexico Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 26. Mexico Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 27. Mexico Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 28. Europe Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 29. Europe Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 30. Europe Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 31. Europe Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 32. Europe Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 33. Europe Digital Twin Market Share, By Country, In USD Billion, 2016-2030F
• Figure 34. Germany Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 35. Germany Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 36. Germany Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 37. Germany Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 38. Germany Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 39. France Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 40. France Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 41. France Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 42. France Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 43. France Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 44. Italy Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 45. Italy Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 46. Italy Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 47. Italy Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 48. Italy Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 49. United Kingdom Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 50. United Kingdom Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 51. United Kingdom Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 52. United Kingdom Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 53. United Kingdom Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 54. Russia Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 55. Russia Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 56. Russia Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 57. Russia Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 58. Russia Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 59. Netherlands Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 60. Netherlands Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 61. Netherlands Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 62. Netherlands Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 63. Netherlands Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 64. Spain Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 65. Spain Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 66. Spain Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 67. Spain Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 68. Spain Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 69. Turkey Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 70. Turkey Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 71. Turkey Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 72. Turkey Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 73. Turkey Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 74. Poland Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 75. Poland Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 76. Poland Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 77. Poland Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 78. Poland Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 79. South America Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 80. South America Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 81. South America Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 82. South America Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 83. South America Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 84. South America Digital Twin Market Share, By Country, In USD Billion, 2016-2030F
• Figure 85. Brazil Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 86. Brazil Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 87. Brazil Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 88. Brazil Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 89. Brazil Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 90. Argentina Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 91. Argentina Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 92. Argentina Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 93. Argentina Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 94. Argentina Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 95. Asia-Pacific Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 96. Asia-Pacific Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 97. Asia-Pacific Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 98. Asia-Pacific Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 99. Asia- Pacific Cream Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 100. Asia-Pacific Digital Twin Market Share, By Country, In USD Billion, 2016-2030F
• Figure 101. India Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 102. India Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 103. India Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 104. India Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 105. India Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 106. China Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 107. China Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 108. China Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 109. China Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 110. China Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 111. Japan Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 112. Japan Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 113. Japan Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 114. Japan Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 115. Japan Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 116. Australia Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 117. Australia Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 118. Australia Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 119. Australia Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 120. Australia Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 121. Vietnam Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 122. Vietnam Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 123. Vietnam Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 124. Vietnam Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 125. Vietnam Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 126. South Korea Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 127. South Korea Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 128. South Korea Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 129. South Korea Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 130. South Korea Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 131. Indonesia Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 132. Indonesia Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 133. Indonesia Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 134. Indonesia Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 135. Indonesia Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 136. Philippines Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 137. Philippines Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 138. Philippines Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 139. Philippines Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 140. Philippines Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 141. Middle East & Africa Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 142. Middle East & Africa Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 143. Middle East & Africa Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 144. Middle East & Africa Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 145. Middle East & Africa Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 146. Middle East & Africa Digital Twin Market Share, By Country, In USD Billion, 2016-2030F
• Figure 147. Saudi Arabia Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 148. Saudi Arabia Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 149. Saudi Arabia Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 150. Saudi Arabia Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 151. Saudi Arabia Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 152. UAE Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 153. UAE Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 154. UAE Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 155. UAE Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 156. UAE Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 157. South Africa Digital Twin Market, By Value, In USD Billion, 2016-2030F
• Figure 158. South Africa Digital Twin Market Share, By Level, In USD Billion, 2016-2030F
• Figure 159. South Africa Digital Twin Market Share, By Company Size, In USD Billion, 2016-2030F
• Figure 160. South Africa Digital Twin Market Share, By Application, In USD Billion, 2016-2030F
• Figure 161. South Africa Digital Twin Market Share, By End-use Industry, In USD Billion, 2016-2030F
• Figure 162. By Level Map-Market Size (USD Billion) & Growth Rate (%), 2022
• Figure 163. By Company Size Map-Market Size (USD Billion) & Growth Rate (%), 2022
• Figure 164. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2022
• Figure 165. By End-use Industry Map-Market Size (USD Billion) & Growth Rate (%), 2022
• Figure 166. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2022

Global digital twin market has experienced significant growth in recent years and is expected to maintain a strong pace of expansion in the coming years. With projected revenue of approximately USD 11.62 billion in 2022, the market is forecasted to reach a value of USD 95.26 billion by 2030, displaying a robust CAGR of 30.1% from 2023 to 2030.

A digital twin is a virtual replica of a physical object, system, or process that digitally replicates its actual counterpart. It records physical and behavioral characteristics, enabling real-time monitoring, analysis, and simulation. Digital twins enable organizations to get essential insights, optimize operations, and improve decision-making across several sectors by utilizing IoT sensors, data analytics, and simulation technology.

The digital twin market's expansion is most visible in industries such as manufacturing, where digital twins streamline production processes and enable predictive maintenance, resulting in less downtime and better asset utilization. Similarly, digital twins are used in healthcare, automotive, and energy industries to model complicated situations, develop product designs, and maximize resource allocation. The growth of IoT devices that capture real-time data from physical things and systems has aided in the acceptance of digital twins. These gadgets generate a constant stream of data that digital twins employ to develop realistic virtual representations, allowing enterprises to gain unprecedented insight into their operations. This data-driven strategy has created interest across industries, helping to propel the digital twin market forward.

Furthermore, advances in cloud computing technology have made it easier to store and handle the massive volumes of data necessary for digital twin modeling. Cloud-based solutions provide scalability and accessibility, allowing enterprises of all sizes to use the potential of digital twins without investing significant IT expenditures.

For example, in October 2022, Ansys Gateway, powered by AWS, provided on-demand access to apps and high-performance computing resources for efficient and cost-effective simulation software utilization.

The Vital Significance of Real-Time Monitoring in Modern Operations

Real-time monitoring emerges as a critical facilitator, supporting informed decision-making, predictive insights, and dynamic changes as companies face fast development. This critical approach uses digital twins to generate virtual representations of physical things, systems, and processes, allowing stakeholders to view, evaluate, and optimize operations in real time. This skill has far-reaching impacts, from improving industrial efficiency and predictive maintenance across various industries to assuring urban sustainability and customized healthcare. The combination of real-time monitoring and digital twins enable companies to adapt quickly to changing conditions, reduce interruptions, and achieve greater operational efficiency on a global basis.

For example, in June 2022, Visionaize and GE Digital collaborated to integrate 3D visualization into APM Mechanical Integrity™ software. This facilitates data-driven choices in asset-intensive businesses by providing real-time asset insights on 3D models and improving operational efficiency and worker safety, notably in sectors such as oil and gas and power generation.

IoT's Rapid Rise Sparks Transformative Changes

The proliferation of IoT devices and sensors results in an overabundance of real-time data. This data serves as the foundation for digital twin technology, allowing it to produce complex virtual duplicates that imitate and optimize real-world operations. Digital twins, which is powered by IoT's data abundance, improve operational efficiency, predict maintenance needs, and deliver data-driven insights. The symbiotic link between IoT and digital twins promotes innovation across sectors, facilitating adoption and sustaining the market's development trajectory.

For example, in April 2022, AWS IoT TwinMaker is a service that creates digital twins of real-world systems, assisting in developing applications that use IoT and data to improve operational efficiency and minimize downtime. The service makes integrating data from many sources easier to generate a knowledge graph that models real-world situations. It provides interfaces for data sources such as Amazon S3, AWS IoT SiteWise, and Amazon Kinesis Video Streams, and it can generate 3D representations of physical systems while overlaying real-time data for improved insights.

Advancement of Manufacturing Industry

The manufacturing industry dominates the digital twin market, owing to its transformational influence. Manufacturers may use digital twins to build virtual versions of actual assets and processes, streamlining operations, forecasting maintenance requirements, and improving product design. These capabilities result in less downtime, more efficiency, and cost savings. As a result, manufacturers aggressively invest in digital twin technology to gain a competitive advantage and speed innovation, establishing them as dominating players in this expanding sector.

For example, in February 2023, Ansys and Microsoft expanded their relationship to provide cloud-based access to simulation solutions, building a new Azure-based product, and improve go-to-market strategies for diverse applications.

North America Dominates the Market

North America dominates in the global digital twin market, owing to its technical superiority, innovation-driven landscape, and industrial strength. This region, known for its cutting-edge innovations, has pushed the broad use of digital twin technology across various industries. North America's strong research and development culture and significant expenditures in IoT and data analytics have driven it to the forefront. The region has leveraged the promise of digital twins to streamline operations, raise decision-making precision, and improve overall efficiency by leveraging modern infrastructure, a developed startup environment, and seamless academia-industry cooperation. North America's established position in the global digital twin market is powerful evidence of its long-term technical strength in the face of the digital revolution.

For example, in January 2022, PTC and Schaeffler collaborated to standardize PTC solutions for integrated IT infrastructure, furthering Schaeffler's digital transformation agenda and driving innovation and efficiency in the automotive and manufacturing industries .

Government Initiatives

Governments support technological adoption by promoting innovation through financing, research collaborations, and regulatory frameworks. Investment in digital infrastructure, IoT integration, and smart city initiatives propels market growth. Furthermore, government initiatives promoting cybersecurity, data protection, and standards create confidence, encouraging companies to use digital twin technologies. These combined initiatives provide an enabling climate, encouraging business collaboration and realizing the full potential of digital twins across industries and economies.

For example, in March 2021, PTC introduced Vuforia Engine Area Targets to its AR enterprise platform, enabling immersive AR experiences in venues up to 300,000 square feet. Spatial computing enables digital twin representations, improving industrial processes and interactions via augmented reality .

Impact of COVID-19

The global digital twin market was considerably influenced by the COVID-19 pandemic, creating a distinct shift in its direction. Before the pandemic, the market was positioned for rapid expansion, fueled by rising digitization and Industry 4.0 trends. However, once the pandemic hit, industries experienced interruptions, requiring reevaluating operating methods. After COVID-19, the digital twin market saw faster adoption as organizations sought solutions to reduce supply chain interruptions, enable remote operations, and improve predictive maintenance. Digital twins' remote monitoring and simulation capabilities have become critical for business continuity in manufacturing, healthcare, and other industries. Companies recognized the importance of data-driven decision-making and the capacity to simulate real-world circumstances realistically. This exposure accelerates the adoption of digital twins across sectors, moving the market forward. COVID-19 sparked a paradigm change, establishing digital twins as cutting-edge instruments and critical components for fostering resilience and flexibility in an increasingly unpredictable environment.

Impact of the Russia-Ukraine War

The Russia-Ukraine war significantly influenced the global digital twin market, adding new levels of uncertainty and instability. The war has disrupted supply networks and geopolitical stability, causing investors to be cautious in various industries. As industries struggled unpredictably, the digital twin adoption suffered from interrupted operations and fluctuating objectives. However, demand for digital twin systems that provide remote monitoring, risk assessment, and operational optimization increased. Organizations explored strategies to strengthen resilience in the face of geopolitical concerns, which fueled using digital twins for scenario planning and supply chain diversity. The war between Russia and Ukraine highlighted the need for adaptive technology such as digital twins in navigating complicated and changing global environments.

Key Players Landscape and Outlook

The global digital twin market is characterized by rapid technological development, cross-industry adoption, and revolutionary potential. Manufacturing, healthcare, and energy industries are using digital twins for operational improvement and predictive analytics. As IoT and AI grow, the possibilities of digital twins expand, providing real-time monitoring, data-driven decision-making, and increased efficiency. Going forward, the market is expected to expand, owing to the rising demand for remote monitoring, predictive maintenance, and resilient supply chain solutions, which provide companies with a powerful toolkit for navigating new problems and achieving operational excellence.

In June 2023, Siemens combined Supplyframe's Design-to-Source Intelligence platform with its Xpedition software for electronic system design. It provides real-time supply chain data, which improves design decisions, lowers costs, and increases agility. The partnership enables firms to respond to changing market dynamics and simplify the design of electronic systems.

In May 2023, Rockwell Automation presented FactoryTalk Twin Studio, a component of FactoryTalk Design Hub that enables end-to-end cloud-based automation design. It simplifies collaboration, virtual commissioning, and upgrades, resulting in higher design productivity, reduce time to market, and create cost-effective systems.

Table of Contents

1. Research Methodology

2. Project Scope & Definitions

3. Impact of COVID-19 on the Global Digital Twin Market

4. Impact of Russia-Ukraine War

5. Executive Summary

6. Voice of Customer

• 6.1. Product and Market Intelligence
• 6.2. Sources of Information
• 6.3. Factors Considered in Purchase Decisions
  • 6.3.1. Overall Expenses
  • 6.3.2. Facility Requirement
  • 6.3.3. Operational Manpower Expertise
  • 6.3.4. Number of Installation Units
  • 6.3.5. Experience in the Industry
  • 6.3.6. Efficiency
  • 6.3.7. After-Sales Support
• 6.4. Purpose of Installation
• 6.5. Demand and Supply Mechanism
• 6.6. Consideration and Understanding of Safety Regulations
• 6.7. Application of Legal Compliances
• 6.8. Existing User or Intended Purchaser

7. Global Digital Twin Market Outlook, 2016-2030F

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. By Level
  • 7.2.1. Parts Twinning
  • 7.2.2. Product Twinning
  • 7.2.3. System Twinning
  • 7.2.4. Process Twinning
• 7.3. By Company Size
  • 7.3.1. Small & Medium Enterprises
  • 7.3.2. Large Enterprises
• 7.4. By Application
  • 7.4.1. System Prediction
  • 7.4.2. System Simulation
  • 7.4.3. Asset Interoperability
  • 7.4.4. Maintenance
  • 7.4.5. System Visualization
  • 7.4.6. Product Simulation
• 7.5. By End-use Industry
  • 7.5.1. Logistics & Supply Chain
  • 7.5.2. Construction
  • 7.5.3. Healthcare
  • 7.5.4. Manufacturing
  • 7.5.5. Retail
  • 7.5.6. Others
• 7.6. By Region
  • 7.6.1. North America
  • 7.6.2. Europe
  • 7.6.3. South America
  • 7.6.4. Asia-Pacific
  • 7.6.5. Middle East and Africa
• 7.7. By Company Market Share (%), 2022

8. Global Digital Twin Market Outlook, By Region, 2016-2030F

• 8.1. North America*
  • 8.1.1. Market Size & Forecast
    • 8.1.1.1. By Value
  • 8.1.2. By Level
    • 8.1.2.1. Parts Twinning
    • 8.1.2.2. Product Twinning
    • 8.1.2.3. System Twinning
    • 8.1.2.4. Process Twinning
  • 8.1.3. By Company Size
    • 8.1.3.1. Small & Medium Enterprises
    • 8.1.3.2. Large Enterprises
  • 8.1.4. By Application
    • 8.1.4.1. System Prediction
    • 8.1.4.2. System Simulation
    • 8.1.4.3. Asset Interoperability
    • 8.1.4.4. Maintenance
    • 8.1.4.5. System Visualization
    • 8.1.4.6. Product Simulation
  • 8.1.5. By End-use Industry
    • 8.1.5.1. Logistics & Supply Chain
    • 8.1.5.2. Construction
    • 8.1.5.3. Healthcare
    • 8.1.5.4. Manufacturing
    • 8.1.5.5. Retail
    • 8.1.5.6. Others
  • 8.1.6. United States*
    • 8.1.6.1. Market Size & Forecast
    • 8.1.6.1.1. By Value
    • 8.1.6.2. By Level
    • 8.1.6.2.1. Parts Twinning
    • 8.1.6.2.2. Product Twinning
    • 8.1.6.2.3. System Twinning
    • 8.1.6.2.4. Process Twinning
    • 8.1.6.3. By Company Size
    • 8.1.6.3.1. Small & Medium Enterprises
    • 8.1.6.3.2. Large Enterprises
    • 8.1.6.4. By Application
    • 8.1.6.4.1. System Prediction
    • 8.1.6.4.2. System Simulation
    • 8.1.6.4.3. Asset Interoperability
    • 8.1.6.4.4. Maintenance
    • 8.1.6.4.5. System Visualization
    • 8.1.6.4.6. Product Simulation
    • 8.1.6.5. By End-use Industry
    • 8.1.6.5.1. Logistics & Supply Chain
    • 8.1.6.5.2. Construction
    • 8.1.6.5.3. Healthcare
    • 8.1.6.5.4. Manufacturing
    • 8.1.6.5.5. Retail
    • 8.1.6.5.6. Others
  • 8.1.7. Canada
  • 8.1.8. Mexico

All segments will be provided for all regions and countries covered

• 8.2. Europe
  • 8.2.1. Germany
  • 8.2.2. France
  • 8.2.3. Italy
  • 8.2.4. United Kingdom
  • 8.2.5. Russia
  • 8.2.6. Netherlands
  • 8.2.7. Spain
  • 8.2.8. Turkey
  • 8.2.9. Poland
• 8.3. South America
  • 8.3.1. Brazil
  • 8.3.2. Argentina
• 8.4. Asia-Pacific
  • 8.4.1. India
  • 8.4.2. China
  • 8.4.3. Japan
  • 8.4.4. Australia
  • 8.4.5. Vietnam
  • 8.4.6. South Korea
  • 8.4.7. Indonesia
  • 8.4.8. Philippines
• 8.5. Middle East & Africa
  • 8.5.1. Saudi Arabia
  • 8.5.2. UAE
  • 8.5.3. South Africa

9. Market Mapping, 2022

• 9.1. By Level
• 9.2. By Company Size
• 9.3. By Application
• 9.4. By End-use Industry
• 9.5. By Region

10. Macro Environment and Industry Structure

• 10.1. Value Chain Analysis
• 10.2. PESTEL Analysis
  • 10.2.1. Political Factors
  • 10.2.2. Economic System
  • 10.2.3. Social Implications
  • 10.2.4. Technological Advancements
  • 10.2.5. Environmental Impacts
  • 10.2.6. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
• 10.3. Porter's Five Forces Analysis
  • 10.3.1. Supplier Power
  • 10.3.2. Buyer Power
  • 10.3.3. Substitution Threat
  • 10.3.4. Threat from New Entrant
  • 10.3.5. Competitive Rivalry

11. Market Dynamics

• 11.1. Growth Drivers
• 11.2. Growth Inhibitors (Challenges and Restraints)

12. Key Players Landscape

• 12.1. Competition Matrix of Top Five Market Leaders
• 12.2. Market Revenue Analysis of Top Five Market Leaders (in %, 2022)
• 12.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
• 12.4. SWOT Analysis (For Five Market Players)
• 12.5. Patent Analysis (If Applicable)

13. Case Studies

14. Key Players Outlook

• 14.1. Amazon Web Services Inc.
  • 14.1.1. Company Details
  • 14.1.2. Key Management Personnel
  • 14.1.3. Products & Services
  • 14.1.4. Financials (As reported)
  • 14.1.5. Key Market Focus & Geographical Presence
  • 14.1.6. Recent Developments
• 14.2. ANSYS Inc.
• 14.3. General Electric Company
• 14.4. IBM Corporation
• 14.5. Microsoft Corporation
• 14.6. Oracle Corporation
• 14.7. PTC Inc.
• 14.8. QiO Technologies Ltd
• 14.9. Rockwell Automation Inc.
• 14.10. Siemens AG.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

16. Strategic Recommendations

17. About Us & Disclaimer