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市場調查報告書
商品編碼
1385067
供應鏈數位孿生全球市場規模、佔有率和產業趨勢分析報告:2023-2030年依公司規模、組成部分、部署模式、產業和地區分類的展望與預測Global Supply Chain Digital Twin Market Size, Share & Industry Trends Analysis Report By Enterprise Size, By Component, By Deployment Mode, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
2030年,供應鏈數位孿生市場規模預計將達到53億美元,預測期內市場CAGR率為11.5%。
根據 KBV Cardinal 矩陣中發布的分析,甲骨文公司是該市場的領導者。 2022 年 4 月, Oracle公司與 Maplesoft 合作,Maplesoft 是工程、科學和數學高效能軟體工具的領先供應商。此次合作旨在整合Oracle的雲端技術和 Maplesoft 的類比軟體,使客戶能夠使用基於實體的營運資料模型大規模創建高度通用的數位孿生。西門子股份公司 (Siemens Digital Industries Software)、施耐德電機 SE (AVEVA Group PLC) 和 SAP SE 等公司是該市場的主要創新者。
市場成長要素
全球供應鏈日益複雜
隨著全球供應鏈不斷擴大並變得更加複雜,企業面臨著管理由供應商、製造商、經銷商和物流提供商組成的龐大網路的課題。這種複雜性使得您很難獲得清晰、即時的供應鏈視圖。 SCDT 提供了供應鏈的全面、統一的視圖,使相關人員能夠即時監控所有流程方面。此外,複雜性往往會導致供應鏈營運效率低落。由於涉及大量相關人員和流程,最佳化生產、庫存、運輸和分銷是一項課題。 SCDT 提供先進的分析和建模功能,使企業能夠識別改進和最佳化的機會。這些因素將成為未來市場擴張的驅動力。
電子商務快速擴張
電子商務的快速擴張正在增加供應鏈的複雜性。由於線上市場的激增、產品多樣化以及快速履行訂單的需要,供應鏈變得越來越複雜。供應鏈數位孿生提供了這些複雜供應鏈網路的動態且詳細的表示,使公司能夠有效地管理和最佳化業務。此外,電子商務嚴重依賴資料主導的決策。提供先進的資訊資料和視覺化工具,幫助電子商務公司做出明智的決策。透過分析即時資料並模擬各種場景,電子商務公司可以最佳化供應鏈營運、降低成本並提高整體效率。因此,電子商務的成長正在推動對這些解決方案的需求。
市場抑制因素
實施過程複雜帶來的課題
實施 SCDT 通常需要對技術、軟體、硬體和具有數位孿生開發專業知識的人才進行大量前期投資。對於預算有限的組織,尤其是中小型企業,高昂的初期成本阻礙了採用 SCDT。 SCDT 開發和整合需要專門的資料分析、物聯網、軟體開發和供應鏈管理技能。留住擁有這些技能的人才既困難又昂貴。此外,資料品質對於 SCDT 的準確性和可靠性至關重要。來自不同來源的不一致或不準確的資料可能會破壞數位孿生的有效性。確保整個供應鏈生態系統的資料品質和標準化需要時間和資源。供應鏈生態系統通常涉及使用不同軟體平台和技術的多個相關人員。確保這些系統和 SCDT 之間的互通性是一項課題。這可能會促使協調方面的摩擦並延遲 SCDT 的採用。這些因素將阻礙市場未來的成長。
企業規模展望
根據公司規模,市場分為大公司和小公司。 2022 年,中小企業 (SME) 領域在市場中獲得了可觀的收益佔有率。與大公司相比,中小型企業的營運預算通常有限。數位孿生技術提供者認知到這一點,並提供經濟高效的解決方案來滿足中小企業的預算限制。此類解決方案通常具有較低的初期成本、基於訂閱的定價模型和擴充性選項,使中小型企業更容易使用它們。中小型企業通常有利基和專業的供應鏈要求。數位孿生解決方案變得更加可客製化,允許中小型企業根據自家公司需求和流程客製化技術。這種適應性使 SCDT 能夠可靠地解決中小型企業面臨的獨特課題。由於這些因素,該領域的需求預計將會增加。
組件展望
根據組件,市場分為硬體、軟體和服務。 2022 年,軟體領域在市場中獲得了可觀的收益佔有率。軟體解決方案使公司能夠進行情勢分析和模擬,從而評估各種供應鏈決策、中斷和變化的影響。這種能力對於最佳化供應鏈策略和資源配置至關重要。先進的軟體解決方案無縫整合來自物聯網感測器、RFID 標籤和其他來源的即時資料,提供供應鏈活動的全面視圖。這種即時整合增強了決策能力和應對力。供應鏈數位孿生軟體中嵌入的人工智慧和機器學習演算法提供預測分析功能。這些演算法預測需求、識別趨勢並最佳化存量基準,從而節省成本並提高供應鏈績效。因此,該區隔市場預計將在未來受到普及。
部署模式展望
根據部署模式,市場分為本地和雲端。 2022年,雲端領域將在市場中佔很大的收益佔有率。隨著供應鏈複雜性的增加,雲端基礎的SCDT 解決方案可以輕鬆擴展。雲端平台適合各種新興企業還是跨國公司,因為它們可以適應他們的需求。雲端基礎的SCDT 可以從任何有網路連線的地方存取。這種可訪問性使供應鏈相關人員能夠存取即時資料並無縫協作,即使他們在地理位置上分散。因此,預計未來幾年雲端領域的需求將會增加。
各行業展望
依產業分類,可分為製造業、汽車、航太與國防業、零售業、製藥業、消費品業等。到 2022 年,製造部門將在市場中佔重要的收益佔有率。 SCDT 透過考慮歷史資料、市場趨勢和即時資訊來實現準確的需求預測。這使您可以最佳化生產計畫並使其與客戶需求保持一致。 SCDT 讓您了解原料、機械和勞動力等資源的可用性。製造商可以最佳化資源分配,以有效地實現生產目標。因此,預計製造業的需求將會增加。
區域展望
從區域來看,市場分為北美、歐洲、亞太地區和拉丁美洲地區。 2022 年,北美市場的收益佔有率最高。許多世界上最大和最有影響力的公司,尤其是製造、零售和物流領域的公司,總公司都位於北美。這些行業領導者是 SCDT 技術的早期採用者,提高了對數位孿生實施的認知並制定了行業標準。該地區是擁有廣泛而複雜的供應鏈、跨越國家和國際邊界的公司的所在地。管理這些複雜的網路需要 SCDT 等高階工具來最佳化流程、提高可見度並降低風險。預計這些因素將增加北美市場的需求。
The Global Supply Chain Digital Twin Market size is expected to reach $5.3 billion by 2030, rising at a market growth of 11.5% CAGR during the forecast period.
Services are a vital component in the market, offering expertise in implementation, integration, and ongoing support. Thus, the Services segment would achieve a $1.2 billion market share by 2030. Service providers assist businesses in customizing digital twin solutions to their unique supply chain needs. They offer consulting, training, and maintenance services, ensuring seamless adoption and maximizing the benefits of digital twin technology. These services also encompass data analysis, helping companies derive actionable insights from digital twin models. Service providers play a crucial role in troubleshooting, updates, and scaling digital twin applications, enabling businesses to adapt to changing market dynamics efficiently. Their expertise ensures that organizations harness the full potential of Supply Chain Digital Twins, optimizing operations and enhancing overall supply chain efficiency.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For Instance, in February, 2021, IBM joined hands with Siemens and Red Hat. This collaboration aims to utilize a hybrid cloud designed to provide a flexible, open and safe solution for manufacturers & plant operators to lead the real-time value from operational data. Moreover, In February, 2019, Dassault Systemes SE came into partnership with ABB Ltd., a Swedish Swiss multinational corporation. Under this partnership, both companies aimed to develop and offer customers advanced digital twins, allowing customers to run ABB's solutions and their operations with improved overall efficiency, flexibility, and sustainability.
Based on the Analysis presented in the KBV Cardinal matrix; Oracle Corporation is the major forerunner in the Market. In April, 2022, Oracle Corporation partnered with Maplesoft, the leading provider of high-performance software tools for engineering, science, and mathematics. This partnership aimed to integrate Oracle's cloud technology and Maplesoft's simulation software for customers to create extremely versatile digital twins at scale with physics-based models on operational data. Companies such as Siemens AG (Siemens Digital Industries Software), Schneider Electric SE (AVEVA Group PLC) and SAP SE are some of the key innovators in the Market.
Market Growth Factors
Rising complexities in the global supply chain
As global supply chains expand and become more intricate, companies face the challenge of managing a vast network of suppliers, manufacturers, distributors, and logistics providers. This complexity makes having a clear and real-time view of the supply chain difficult. SCDTs offer a comprehensive and unified view of the supply chain, allowing stakeholders to monitor all process aspects in real-time. Additionally, complexity often leads to inefficiencies in supply chain operations. With numerous stakeholders and processes involved, optimizing production, inventory, transportation, and distribution becomes challenging. SCDTs provide advanced analytics and modeling capabilities that allow companies to identify opportunities for improvement and optimization. These factors will drive the future expansion of the market.
Rapid expansion of e-commerce
E-commerce's rapid rise has led to an increase in supply chain complexity. With the proliferation of online marketplaces, the diversity of products, and the need for rapid order fulfillment, supply chains have become more intricate. Supply chain digital twins provide a dynamic and detailed representation of these complex supply chain networks, enabling organizations to manage and optimize their operations efficiently. In addition, e-commerce relies heavily on data-driven decision-making. It provides advanced data analytics and visualization tools that empower e-commerce companies to make informed decisions. By analyzing real-time data and simulating different scenarios, e-commerce businesses can optimize their supply chain operations, reduce costs, and enhance overall efficiency. Therefore, the growth of e-commerce has driven the demand for these solutions.
Market Restraining Factors
Challenges due to complex implementation processes
Implementing an SCDT often requires a significant upfront investment in technology, software, hardware, and personnel with expertise in digital twin development. For organizations with limited budgets, especially smaller businesses, the high initial costs can deter them from adopting SCDTs. Developing and integrating an SCDT demands specialized data analytics, IoT, software development, and supply chain management skills. Talent with these skills can be hard to come by and expensive to keep. Moreover, data quality is critical for the accuracy and reliability of an SCDT. Inconsistent or inaccurate data from various sources can compromise the effectiveness of the digital twin. Ensuring data quality and standardization across the supply chain ecosystem can be time-consuming and resource-intensive. The supply chain ecosystem often involves multiple stakeholders who use different software platforms and technologies. Ensuring interoperability between these systems and the SCDT can be a challenge. This can create friction in collaborations and slow down the adoption of SCDTs. These factors will impede the future growth of the market.
Enterprise Size Outlook
Based on enterprise size, the market is bifurcated into large enterprises and small & medium size enterprises (SMEs). In 2022, the small & medium size enterprises (SMEs) segment garnered a significant revenue share in the market. SMEs often operate with limited budgets compared to larger corporations. Digital twin technology providers have recognized this and are offering cost-effective solutions catering to SMEs' budget constraints. These solutions typically come with lower upfront costs, subscription-based pricing models, and scalability options, making them more accessible to smaller businesses. SMEs often have niche or specialized supply chain requirements. Digital twin solutions are becoming more customizable, allowing SMEs to tailor the technology to their needs and processes. This adaptability ensures that SCDTs can address the unique challenges smaller enterprises face. Owing to these factors, there will be an increased demand in the segment.
Component Outlook
Based on component, the market is segmented into hardware, software, and services. In 2022, the software segment garnered a significant revenue share in the market. Software solutions enable companies to conduct scenario analysis and simulations, allowing them to assess the impact of various supply chain decisions, disruptions, or changes. This capability is crucial for optimizing supply chain strategies and resource allocation. Advanced software solutions seamlessly integrate real-time data from IoT sensors, RFID tags, and other sources, providing a comprehensive view of supply chain activities. This real-time integration enhances decision-making and responsiveness. AI and ML algorithms embedded in supply chain digital twin software offer predictive analytics capabilities. These algorithms can forecast demand, identify trends, and optimize inventory levels, leading to reduced costs and improved supply chain performance. As a result, the segment is expected to proliferate in the future.
Deployment Mode Outlook
On the basis of deployment mode, the market is divided into on-promise and cloud. In 2022, the cloud segment witnessed a substantial revenue share in the market. Cloud-based SCDT solutions can easily scale to accommodate the growing complexities of supply chains. Whether a business is a small startup or a multinational corporation, cloud platforms can adapt to their needs, making them suitable for various companies. Cloud-based SCDTs are accessible from anywhere with an internet connection. This accessibility enables supply chain stakeholders to access real-time data and collaborate seamlessly, even when geographically dispersed. Owing to this, the cloud segment will witness an increased demand in the coming years.
Vertical Outlook
On the basis of vertical, the market is divided into manufacturing, automotive, aerospace & defense, retail, pharmaceuticals, consumer goods, and others. In 2022, the manufacturing segment witnessed a substantial revenue share in the market. SCDTs enable manufacturers to create accurate demand forecasts by considering historical data, market trends, and real-time information. This, in turn, helps optimize production planning and align it with customer demand. SCDTs provide visibility into the availability of resources, including raw materials, machinery, and labor. Manufacturers can optimize resource allocation to meet production targets efficiently. Therefore, the demand is expected to rise in the manufacturing segment.
Regional Outlook
By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the market in 2022. Many of the world's largest and most influential companies, particularly in manufacturing, retail, and logistics, are headquartered in North America. These industry leaders have been early adopters of SCDT technology, driving awareness and setting industry standards for digital twin implementations. The region is home to companies with extensive and complex supply chains that span national and international boundaries. Managing these intricate networks requires advanced tools like SCDTs to optimize processes, enhance visibility, and mitigate risks. These factors are expected to boost the demand in the North America segment.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, SAP SE, Dassault Systemes SE, Kinaxis, Inc., Schneider Electric SE (AVEVA Group PLC), Siemens AG (Siemens Digital Industries Software), AnyLogic North America, LLC (The AnyLogic Company), Simio LLC and Logivations GmbH
Supply Chain Digital Twin Market Report Coverage:
Report Attribute Details
Market size value in 2022 USD 2.3 Billion
Market size forecast in 2030 USD 5.3 Billion
Base Year 2022
Historical period 2019 to 2021
Forecast Period 2023 to 2030
Revenue Growth Rate CAGR of 11.5% from 2023 to 2030
Number of Pages 299
Tables 463
Report coverage Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Market Share Analysis, Competitive Landscape, Companies Strategic Developments, Company Profiling
Segments covered Component, Deployment Mode, Enterprise Size, Vertical, Region
Country scope US, Canada, Mexico, Germany, UK, France, Russia, Spain, Italy, China, Japan, India, South Korea, Singapore, Malaysia, Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria
Growth Drivers * Rising complexities in the global supply chain
* Rapid expansion of e-commerce
Restraints * Challenges due to complex implementation processes
Recent Strategies Deployed in Supply Chain Digital Twin Market
Partnerships, Collaborations & Agreements
May-2023: SAP SE collaborated with Accenture plc, an Irish-American professional services company. This collaboration aimed to provide customers with increased transparency and visibility across assets and inventory, as well as faster value realization with SAP Business Network.
Apr-2022: Oracle Corporation partnered with Maplesoft, the leading provider of high-performance software tools for engineering, science, and mathematics. This partnership aimed to integrate Oracle's cloud technology and Maplesoft's simulation software for customers to create extremely versatile digital twins at scale with physics-based models on operational data.
Feb-2021: IBM joined hands with Siemens and Red Hat. This collaboration aims to utilize a hybrid cloud designed to provide a flexible, open and safe solution for manufacturers & plant operators to lead the real-time value from operational data. In this joint initiative, Siemens Digital Industries Software would implement IBM's open hybrid cloud approach, based on Red Hat OpenShift, to expand the implementation flexibility of MindSphere, the industrial IoT as a service solution by Siemens.
Jan-2021: Siemens partnered with Ola, an Indian multinational ride-sharing company. In this partnership, Ola would get access to Siemens' integrated Digital Twin design and manufacturing solutions to get digitalize and authenticate product & production prior to actual operations.
Nov-2020: Siemens signed an agreement to acquire Culgi, a computational chemistry software company. This acquisition will expand the simulation capabilities of the Xcelerator portfolio with quantum & molecular chemistry models, which effortlessly integrate with the continuum approach in Simcenter STAR-CCM+ software.
Sep-2020: Siemens Digital Industries Software came into partnership with VSI Labs, a researcher of active safety and autonomous vehicle (AV) technologies. Under this partnership, Siemens' PAVE360 platform would help in developing digital twin simulations for the authentication & testing of every processors, sensor, electronics, and systems empowering the VSI Labs Capability Demonstrator that is an improved AV development vehicle embedded with components from automotive technology leaders and combined by VSI solutions engineers.
Jul-2020: AVEVA, a subsidiary of Schneider Electric SE partnered with DORIS Group, a global Engineering and Project Management company in the energy industry. This partnership aimed to deliver Digital Twin technology for the upstream oil and gas markets. Additionally, the new solutions would support the aims of oil & gas organizations to improve asset performance, increase sustainability, and maximize return on capital on projects.
Jul-2020: Siemens formed a partnership with SAP, a German multinational software corporation. This partnership focuses on integrating their complementary software solutions for supply chain, product lifecycle, and asset management to boost the digital transformation for their customers.
May-2020: Siemens collaborated with Atos, a global leader in digital transformation. This collaboration aims to enhance production with an advanced solution based on a digital copy of the pharma production process. This advanced Process Digital Twin for pharma manufacturing powered by AI, IoT, and Advanced Analytics, which is developed to offer enhanced efficiency & flexibility in the manufacturing of pharmaceutical products.
Mergers & Acquisition
Feb-2020: Siemens Digital Industries Software took over MultiMechanics, developer of finite element software. This acquisition aimed to expand the Simcenter and Xcelerator portfolio of Siemens and Users would get the benefit from a solution that can virtually forecast the failure in materials at an unprecedented level of speed & accuracy.
Product Launches and Product Expansions
May-2022: Schneider Electric SE unveiled EcoStruxure Machine Expert Twin, a scalable digital twin software solution. The launched product would manage the entire machine lifecycle.
Market Segments covered in the Report:
By Enterprise Size
By Component
By Deployment Mode
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research