|
市場調査レポート
商品コード
1385067
サプライチェーン向けデジタルツインの世界市場規模、シェア、産業動向分析レポート:企業規模別、コンポーネント別、展開モード別、業種別、地域別展望と予測、2023年~2030年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 |
||||||
|
サプライチェーン向けデジタルツインの世界市場規模、シェア、産業動向分析レポート:企業規模別、コンポーネント別、展開モード別、業種別、地域別展望と予測、2023年~2030年 |
出版日: 2023年10月31日
発行: KBV Research
ページ情報: 英文 299 Pages
納期: 即納可能
![]() |
サプライチェーン向けデジタルツイン市場規模は2030年までに53億米ドルに達すると予測され、予測期間中のCAGRは11.5%の市場成長率で上昇する見込みです。
KBV Cardinalのマトリックスに掲載された分析によると、Oracle Corporationが同市場における主要な先駆者です。2022年4月、オラクル・コーポレーションは、エンジニアリング、科学、数学向けの高性能ソフトウェアツールの大手プロバイダーであるMaplesoftと提携しました。この提携は、オラクルのクラウド技術とMaplesoftのシミュレーション・ソフトウェアを統合し、顧客が運用データ上で物理ベースのモデルを用いて極めて汎用性の高いデジタルツインを大規模に作成できるようにすることを目的としています。Siemens AG(Siemens Digital Industries Software)、Schneider Electric SE(AVEVA Group PLC)、SAP SEなどの企業は、この市場における主要なイノベーターです。
市場成長要因
世界のサプライチェーンの複雑化
世界のサプライチェーンが拡大し、複雑化するにつれ、企業はサプライヤー、製造業者、流通業者、物流業者の膨大なネットワークを管理するという課題に直面しています。この複雑さが、サプライチェーンを明確かつリアルタイムに把握することを困難にしています。SCDTは、サプライチェーンの包括的かつ統一的なビューを提供し、利害関係者がすべてのプロセス側面をリアルタイムで監視できるようにします。さらに、複雑さはしばしばサプライチェーンオペレーションの非効率性につながります。多数の利害関係者やプロセスが関与するため、生産、在庫、輸送、流通の最適化は課題となります。SCDTは、企業が改善と最適化の機会を特定できる高度な分析とモデリング機能を提供します。これらの要因が、今後の市場拡大の原動力となるでしょう。
eコマースの急速な拡大
eコマースの急速な拡大により、サプライチェーンの複雑性が増しています。オンラインマーケットプレースの急増、商品の多様化、迅速な注文対応の必要性により、サプライチェーンはより複雑化しています。サプライチェーン・デジタルツインは、こうした複雑なサプライチェーンネットワークをダイナミックかつ詳細に表現し、企業が効率的に業務を管理・最適化することを可能にします。さらに、eコマースはデータ主導の意思決定に大きく依存しています。eコマース企業が十分な情報に基づいた意思決定を行えるよう、高度なデータ分析と可視化ツールを提供します。リアルタイムのデータを分析し、さまざまなシナリオをシミュレーションすることで、eコマース企業はサプライチェーン・オペレーションを最適化し、コストを削減し、全体的な効率を高めることができます。そのため、eコマースの成長がこれらのソリューションの需要を押し上げています。
市場抑制要因
複雑な導入プロセスによる課題
SCDTを導入するには、多くの場合、テクノロジー、ソフトウェア、ハードウェア、デジタルツイン開発の専門知識を持つ人材への多額の先行投資が必要となります。予算が限られている組織、特に中小企業にとっては、初期費用が高いことがSCDTの採用を躊躇させる要因となっています。SCDTの開発と統合には、専門的なデータ分析、IoT、ソフトウェア開発、サプライチェーン管理のスキルが要求されます。このようなスキルを持つ人材を確保するのは困難であり、コストも高くつきます。さらに、データの品質はSCDTの正確性と信頼性にとって極めて重要です。様々なソースからの一貫性のない、あるいは不正確なデータは、デジタルツインの有効性を損なう可能性があります。サプライチェーンエコシステム全体でデータ品質と標準化を確保することは、時間とリソースを必要とします。サプライチェーンエコシステムには、多くの場合、異なるソフトウェアプラットフォームやテクノロジーを使用する複数の利害関係者が関与しています。これらのシステムとSCDT間の相互運用性を確保することは課題です。そのため、連携に摩擦が生じ、SCDTの採用が遅れる可能性があります。このような要因は、市場の将来的な成長を阻害することになるでしょう。
企業規模の展望
企業規模に基づき、市場は大企業と中小企業に二分されます。2022年には、中小企業(SME)セグメントが市場で大きな収益シェアを獲得しました。中小企業は、大企業に比べて限られた予算で事業を行うことが多いです。デジタルツインテクノロジープロバイダーはこのことを認識しており、中小企業の予算制約に対応したコスト効率の高いソリューションを提供しています。このようなソリューションには通常、より低い初期費用、サブスクリプションベースの価格設定モデル、拡張性オプションが付属しており、中小企業にとってより利用しやすいものとなっています。中小企業は、ニッチで専門的なサプライチェーン要件を抱えていることが多いです。デジタルツインソリューションはカスタマイズが可能になってきており、中小企業は自社のニーズやプロセスに合わせてテクノロジーをカスタマイズすることができます。このような適応性により、SCDTは中小企業が直面する固有の課題に確実に対処することができます。このような要因から、このセグメントの需要は増加すると思われます。
コンポーネントの展望
コンポーネントに基づき、市場はハードウェア、ソフトウェア、サービスに区分されます。2022年には、ソフトウェア・セグメントが市場で大きな収益シェアを獲得しました。ソフトウェア・ソリューションは、企業がシナリオ分析とシミュレーションを実施することを可能にし、様々なサプライチェーンの決定、混乱、変化の影響を評価することを可能にします。この機能は、サプライチェーン戦略や資源配分の最適化に不可欠です。先進的なソフトウェア・ソリューションは、IoTセンサー、RFIDタグ、その他のソースからのリアルタイム・データをシームレスに統合し、サプライチェーン活動の包括的なビューを提供します。このリアルタイム統合により、意思決定と対応力が強化されます。サプライチェーンのデジタルツインソフトウェアに組み込まれたAIとMLアルゴリズムは、予測分析機能を提供します。これらのアルゴリズムは、需要を予測し、動向を特定し、在庫レベルを最適化し、コスト削減とサプライチェーンのパフォーマンス向上につながります。その結果、このセグメントは将来的に普及すると予想されます。
展開モードの展望
展開モードによって、市場はオンプレミスとクラウドに分けられます。2022年には、クラウドセグメントが市場で大きな収益シェアを占めています。クラウドベースのSCDTソリューションは、サプライチェーンの複雑化に合わせて容易に拡張できます。小規模な新興企業であれ、多国籍企業であれ、クラウドプラットフォームはそのニーズに適応できるため、さまざまな企業に適しています。クラウドベースのSCDTは、インターネット接続さえあればどこからでもアクセスできます。このアクセシビリティにより、サプライチェーンの利害関係者は、地理的に分散していても、リアルタイムのデータにアクセスし、シームレスにコラボレーションすることができます。このため、クラウドセグメントは今後数年間で需要が増加することが予想されます。
業種別展望
業種別では、製造、自動車、航空宇宙・防衛、小売、製薬、消費財、その他に分類されます。2022年には、製造業セグメントが市場で大きな収益シェアを占めています。SCDTは、過去のデータ、市場動向、リアルタイム情報を考慮することで、正確な需要予測を可能にします。これにより、生産計画を最適化し、顧客の需要に合わせることができます。SCDTは、原材料、機械、労働力などのリソースの可用性を可視化します。メーカーは、生産目標を効率的に達成するために資源配分を最適化することができます。そのため、製造業分野での需要増加が見込まれています。
地域別展望
地域別に見ると、市場は北米、欧州、アジア太平洋、LAMEAに区分されます。北米セグメントは2022年の市場で最も高い収益シェアを獲得しました。特に製造業、小売業、物流業など、世界最大かつ最も影響力のある企業の多くが北米に本社を置いています。これらの業界リーダーはSCDT技術をいち早く採用し、デジタルツイン実装の認知度を高め、業界標準を設定してきました。この地域には、国や国際的な境界にまたがる広範で複雑なサプライチェーンを持つ企業が存在します。こうした複雑なネットワークを管理するには、プロセスの最適化、可視性の向上、リスクの軽減を実現するSCDTのような高度なツールが必要です。これらの要因によって、北米セグメントの需要が高まると期待されています。
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