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サプライチェーンデジタルツインの市場規模、シェア、動向分析レポート：コンポーネント別、展開モード別、企業規模別、業界別、地域別、セグメント予測、2023年～2030年

Supply Chain Digital Twin Market Size, Share & Trends Analysis Report By Component, By Deployment Mode (On-premise, Cloud), By Enterprise Size, By Industry Vertical, By Region, And Segment Forecasts, 2023 - 2030
出版日: | 発行: Grand View Research | ページ情報: 英文 110 Pages | 納期: 2～10営業日

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サプライチェーンデジタルツインの市場規模、シェア、動向分析レポート：コンポーネント別、展開モード別、企業規模別、業界別、地域別、セグメント予測、2023年～2030年
出版日: 2023年09月27日
発行: Grand View Research
ページ情報: 英文 110 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

サプライチェーンデジタルツイン市場の成長と動向：

Grand View Research, Inc.の最新レポートによると、世界のサプライチェーンデジタルツイン市場規模は2030年までに59億8,000万米ドルに達し、2023年から2030年までのCAGRは12.0％を記録すると予測されています。

デジタルツインの採用は、業界の急成長と最先端技術への需要に後押しされています。この技術は、サプライチェーン全体の完全なリアルタイム画像を提供することで、より良い監視、分析、運用最適化を可能にします。

デジタルツインとは、サプライチェーン全体またはその中の特定のコンポーネントのデジタルレプリカを作成することです。このレプリカには、製造施設、保管施設、輸送車両、プロセス、データフロー、異なる構成要素間の関係などの物理的資産が含まれます。さらに、デジタルツインには、IoTデバイス、センサー、その他のデータソースが組み込まれています。温度、湿度、位置、生産パラメーターはすべて、サプライチェーンのさまざまなポイントで、これらのデバイスによってリアルタイムで収集されます。これらの情報はデジタルツインに入力され、ダイナミックで正確なシミュレーションが可能になります。

予期せぬ操業停止は、産業メーカーに大きな混乱と経済的負担をもたらし、パンデミック以前から、1週間あたり15時間以上の損失時間、年間500億米ドルを超えています。このような中断のかなりの部分、約半分は機器の故障に起因しています。このような課題に対抗するため、故障する前に予知し、先手を打って修理する予知保全という戦略が、説得力のあるアプローチとして浮上してきました。デジタル・ツインの導入は、大幅なコスト削減と生産性の向上を約束し、メーカーとロジスティクス・プロバイダーの双方に利益をもたらします。

物理的な物体の状態をリアルタイムで把握できるデジタルツインは、予知保全に最適なソリューションです。例えば、2022年、クラフト・ハインツはマイクロソフトと協力し、北米の34の製造施設すべてについてデジタルツインを開発しました。その主な目的のひとつは、各事業所全体で機械的なダウンタイムを削減することだっています。

包括的な倉庫だけでなく、デジタル・ツインは小規模な個々の資産にも効果的に展開できます。先進的なロジスティクス企業や設備サービス・プロバイダーは、ロボット、トラック、工具などのデジタル・レプリカを作成しています。このエミュレーション・アプローチにより、それらの状態を一貫して監視することが可能になり、故障を回避するためにタイムリーな注意が必要な摩耗や損傷を特定することができます。予知保全を促進するためにデジタルツインを採用することで、ロジスティクス・プロバイダーには大きなメリットがもたらされます。これは、オペレーションのスループットを向上させるだけでなく、オペレーションの支出を大幅に削減します。

サプライチェーンデジタルツイン市場レポートハイライト

  • コンポーネント別では、ハードウェアセグメントが市場全体を支配し、2022年の市場シェアは42.0%でした。このセグメントは、正確で動的な仮想表現を生成するための実世界データの収集、転送、処理によって牽引されると予測されます。
  • 導入形態別では、オンプレミス型が市場全体を支配し、2022年の市場シェアは52.1%でした。オンプレミスの導入により、企業はデータを完全に管理し、機密性の高いサプライチェーン情報を保護するためのセキュリティ対策を導入することができます。
  • 企業規模に基づくと、大企業セグメントは2023年から2030年にかけて12.5％以上のCAGRで成長すると予測されています。大企業は、サプライチェーンデジタルツインを利用することで、業務効率の向上、コスト削減、サプライチェーン全体の意思決定の改善を図ることができます。
  • 産業別では、自動車分野が、リアルタイムの需要変動、生産計画、リードを考慮した在庫レベルの最適化により、予測期間中のCAGRが13.3％近くに達し、力強い成長が見込まれています。
  • 北米は業界を支配し、2022年の世界売上高の29.3%以上を占めています。この地域には、サプライチェーン向けのデジタルツイン技術を積極的に開発・発展させている多くの大手テクノロジー企業、研究機関、大学があります。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 市場変数、動向、および範囲の見通し

  • 市場系統の見通し
  • サプライチェーンデジタルツイン市場-バリューチェーン分析
  • サプライチェーンデジタルツイン市場力学
  • 業界分析- ポーターのファイブフォース分析
  • 業界分析-PESTEL分析
  • COVID-19感染症の影響分析

第4章 サプライチェーンデジタルツイン市場、コンポーネントの見通し

  • サプライチェーンデジタルツイン市場、コンポーネント分析および市場シェア別、2022年および2030年
  • ハードウェア
  • ソフトウェア
  • サービス

第5章 サプライチェーンデジタルツイン市場、展開モードの見通し

  • サプライチェーンデジタルツイン市場、展開モード分析および市場シェア別、2022年および2030年
  • オンプレミス
  • クラウド

第6章 サプライチェーンデジタルツイン市場、企業規模の見通し

  • サプライチェーンデジタルツイン市場、企業規模分析および市場シェア別、2022年および2030年
  • 大企業
  • 中小企業

第7章 サプライチェーンデジタルツイン市場、業界別の見通し

  • サプライチェーンデジタルツイン市場、業界別分析および市場シェア別、2022年および2030年
  • 製造業
  • 自動車
  • 航空宇宙と防衛
  • 小売り
  • 医薬品
  • 消費財
  • その他

第8章 サプライチェーンデジタルツイン市場：地域別の推定・動向分析

  • サプライチェーンデジタルツイン市場シェア、地域別、2022年および2030年
  • 北米
    • コンポーネント別、2017～2030年
    • 展開モード別、2017～2030年
    • 企業規模別、2017～2030年
    • 業界別、2017～2030年
    • 米国
    • カナダ
  • 欧州
    • コンポーネント別、2017～2030年
    • 展開モード別、2017～2030年
    • 企業規模別、2017～2030年
    • 業界別、2017～2030年
    • ドイツ
    • 英国
    • フランス
  • アジア太平洋
    • コンポーネント別、2017～2030年
    • 展開モード別、2017～2030年
    • 企業規模別、2017～2030年
    • 業界別、2017～2030年
    • 中国
    • 日本
    • インド
  • ラテンアメリカ
    • コンポーネント別、2017～2030年
    • 展開モード別、2017～2030年
    • 企業規模別、2017～2030年
    • 業界別、2017～2030年
    • ブラジル
    • メキシコ
  • 中東とアフリカ
    • コンポーネント別、2017～2030年
    • 展開モード別、2017～2030年
    • 企業規模別、2017～2030年
    • 業界別、2017～2030年
    • アラブ首長国連邦（UAE）
    • サウジアラビア王国（KSA）
    • 南アフリカ

第9章 サプライチェーンデジタルツイン市場の競合情勢

  • 主要な市場参入企業
    • IBM
    • Oracle
    • SAP
    • Dassault Systemes
    • AVEVA
    • Siemens Digital Industries Software
    • Kinaxis
    • The AnyLogic Company
    • Simio
    • Logivations
  • 主要企業の市場シェア分析、2022年
  • 企業分類/ポジション分析、2022年
  • 戦略的マッピング
    • 拡大
    • 合併と買収
    • パートナーシップとコラボレーション
    • 製品/サービスの開始
    • その他
図表

List of Tables

  • Table 1 Supply Chain Digital Twin market, by component, 2017 - 2030 (USD Million)
  • Table 2 Supply Chain Digital Twin market, by deployment mode, 2017 - 2030 (USD Million)
  • Table 3 Supply Chain Digital Twin market, by enterprise size, 2017 - 2030 (USD Million)
  • Table 4 Supply Chain Digital Twin market, by industry vertical, 2017 - 2030 (USD Million)
  • Table 5 Participant's Overview
  • Table 6 Financial Performance
  • Table 7 Product benchmarking
  • Table 8 Company Heat Map Analysis
  • Table 9 Key Companies undergoing expansions.
  • Table 10 Key Companies involved in M&As
  • Table 11 Key Companies undergoing partnerships & collaborations.

List of Figures

  • Fig. 1 Supply Chain Digital Twin Market Segmentation
  • Fig. 2 Supply Chain Digital Twin Market - Regional Scope
  • Fig. 3 Information Procurement
  • Fig. 4 Data Analysis Models
  • Fig. 5 Market Formulation and Validation
  • Fig. 6 Data Validating & Publishing
  • Fig. 7 Supply Chain Digital Twin Market Snapshot, 2022 & 2030
  • Fig. 8 Supply Chain Digital Twin Market -Segment Snapshot, by Enterprise Size & Industry Vertical, 2022 & 2030
  • Fig. 9 Supply Chain Digital Twin Market - Competitive Landscape Snapshot
  • Fig. 10 Supply Chain Digital Twin Market Value, 2022 (USD Billion)
  • Fig. 11 Value chain analysis
  • Fig. 12 Supply Chain Digital Twin Market Trends
  • Fig. 13 Supply Chain Digital Twin market - Porter's five forces analysis
  • Fig. 14 Supply Chain Digital Twin market - PESTEL analysis
  • Fig. 15 Supply Chain Digital Twin Market, by Component: Key Takeaways
  • Fig. 16 Supply Chain Digital Twin Market, by Component: Market Share, 2022 & 2030
  • Fig. 17 Supply Chain Digital Twin Market Estimates and Forecasts, by Hardware, 2017 - 2030 (USD Million)
  • Fig. 18 Supply Chain Digital Twin Market Estimates and Forecasts, by Software, 2017 - 2030 (USD Million)
  • Fig. 19 Supply Chain Digital Twin Market Estimates and Forecasts, by Services, 2017 - 2030 (USD Million)
  • Fig. 20 Supply Chain Digital Twin Market, by Deployment Mode: Key Takeaways
  • Fig. 21 Supply Chain Digital Twin Market, by Deployment Mode: Market Share, 2022 & 2030
  • Fig. 22 Supply Chain Digital Twin Market Estimates and Forecasts, by On-premise, 2017 - 2030 (USD Million)
  • Fig. 23 Supply Chain Digital Twin Market Estimates and Forecasts, by Cloud, 2017 - 2030 (USD Million)
  • Fig. 24 Supply Chain Digital Twin Market, by Enterprise Size: Key Takeaways
  • Fig. 25 Supply Chain Digital Twin Market, by Enterprise Size: Market Share, 2022 & 2030
  • Fig. 26 Supply Chain Digital Twin Market Estimates and Forecasts, by Large Enterprises, 2017 - 2030 (USD Million)
  • Fig. 27 Supply Chain Digital Twin Market Estimates and Forecasts, by Small and medium enterprises, 2017 - 2030 (USD Million)
  • Fig. 28 Supply Chain Digital Twin Market, by Industry Vertical: Key Takeaways
  • Fig. 29 Supply Chain Digital Twin Market, by Industry Vertical: Market Share, 2022 & 2030
  • Fig. 30 Supply Chain Digital Twin Market Estimates and Forecasts, By Manufacturing, 2017 - 2030 (USD Million)
  • Fig. 31 Supply Chain Digital Twin Market Estimates and Forecasts, by Automotive, 2017 - 2030 (USD Million)
  • Fig. 32 Supply Chain Digital Twin Market Estimates and Forecasts, by Aerospace & Defense, 2017 - 2030 (USD Million)
  • Fig. 33 Supply Chain Digital Twin Market Estimates and Forecasts, by Retail, 2017 - 2030 (USD Million)
  • Fig. 34 Supply Chain Digital Twin Market Estimates and Forecasts, By Pharmaceuticals, 2017 - 2030 (USD Million)
  • Fig. 35 Supply Chain Digital Twin Market Estimates and Forecasts, by Consumer Goods, 2017 - 2030 (USD Million)
  • Fig. 36 Supply Chain Digital Twin Market Estimates and Forecasts, by Others, 2017 - 2030 (USD Million)
  • Fig. 37 Supply Chain Digital Twin Market revenue- by region, 2022 & 2030 (USD Million)
  • Fig. 38 Regional Marketplace (North America & Europe)- Key Takeaways
  • Fig. 39 Regional Marketplace (Asia Pacific and Latin America) - Key Takeaways
  • Fig. 40 Regional Marketplace (MEA)- Key Takeaways
  • Fig. 41 North America Supply Chain Digital Twin Market estimates & forecast, 2017 - 2030 (USD Million)
  • Fig. 42 U.S. Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 43 Canada Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 44 Europe Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 45 UK Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 46 Germany Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 47 France Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 48 Asia Pacific Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 49 China Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 50 India Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 51 Japan Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 52 Latin America Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 53 Brazil Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 54 Mexico Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 55 Middle East & Africa (MEA) Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 56 United Arab Emirates (UAE) Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 57 Kingdom of Saudi Arabia (KSA) Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 58 South Africa Supply Chain Digital Twin Market Estimates & Forecast, 2017 - 2030 (USD Million)
  • Fig. 59 Key Company Categorization
  • Fig. 60 Company Market Share Analysis, 2022
  • Fig. 61 Strategic framework
目次
Product Code: GVR-4-68040-128-5

Supply Chain Digital Twin Market Growth & Trends:

The global supply chain digital twin market size is expected to reach USD 5.98 billion by 2030, registering a CAGR of 12.0% from 2023 to 2030, according to a new report by Grand View Research, Inc.. Digital twin adoption has been fueled by the industry's rapid growth and the demand for cutting-edge technology. This technology enables better monitoring, analysis, and operation optimization by providing a complete and real-time picture of the whole supply chain.

A digital twin is the creation of a digital replica of the complete supply chain or certain components within it. This replica contains physical assets such as manufacturing facilities, storage facilities, transportation vehicles, processes, data flows, and relationships between different pieces. Furthermore, the digital twin incorporates IoT devices, sensors, and other data sources. Temperature, humidity, location, and production parameters are all collected in real time by these devices at various points in the supply chain. This information is then input into the digital twin, which allows for a dynamic and accurate simulation.

Unforeseen operational halts pose significant disruptions and financial burdens for industrial manufacturers, amounting to more than 15 hours of lost time per week and exceeding USD 50 billion annually, even before the pandemic. A substantial portion of these interruptions, nearly half, stem from equipment malfunctions. To counteract these challenges, the strategy of predictive maintenance, involving the anticipation and preemptive repair of assets before they malfunction, has emerged as a compelling approach. Its implementation promises substantial cost reductions and heightened productivity, benefiting both manufacturers and logistics providers.

The potency of digital twins in furnishing real-time insights into the status of physical objects positions them as an optimal solution for predictive maintenance. For instance, in 2022, Kraft Heinz joined forces with Microsoft to develop digital twins for all 34 manufacturing facilities in North America. Among the primary aims was the curtailment of mechanical downtime across each establishment.

Beyond just comprehensive warehouses, digital twins can also be effectively deployed for individual assets, even on a smaller scale. Forward-thinking logistics entities and equipment service providers are crafting digital replicas of items such as singular robots, trucks, and tools. This emulation approach enables consistent monitoring of their conditions, identifying wear and tear that necessitates timely attention to avert breakdowns. Employing digital twins to facilitate predictive maintenance yields substantial benefits for logistics providers, including the potential to diminish reactive maintenance by around 40% within a given year. This not only amplifies operational throughput but also substantially reduces operational expenditure.

Supply Chain Digital Twin Market Report Highlights:

  • Based on component, the hardware segment dominated the overall market, accounting for a market share of 42.0% in 2022. The segment is expected to be driven by the gathering, transfer, and processing of real-world data to produce accurate and dynamic virtual representations
  • Based on deployment mode, the on-premise segment dominated the overall market, accounting for a market share of 52.1% in 2022. With on-premises implementation, the firm keeps full control of its data and can install its security measures to protect sensitive supply chain information
  • Based on enterprise size, the large enterprises segment is anticipated to grow at a CAGR of over 12.5% from 2023 to 2030. Large corporations can use supply chain digital twins to improve operational efficiency, lower costs, and improve decision-making across the whole supply chain
  • Based on industrial vertical, the automotive segment is anticipated to witness strong growth with a CAGR of nearly 13.3% over the forecast period, owing to the optimization of inventory levels by taking into account real-time demand variations, production plans, and lead
  • North America dominated the industry, contributing to over 29.3% of the global revenue in 2022. The region is home to many leading technology companies, research institutions, and universities that have been actively developing and advancing digital twin technology for supply chain

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definitions
  • 1.3. Information Procurement
    • 1.3.1. Information analysis
    • 1.3.2. Market formulation & data visualization
    • 1.3.3. Data validation & publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Summary
  • 2.2. Market Snapshot
  • 2.3. Segment Snapshot
  • 2.4. Competitive Landscape Snapshot

Chapter 3. Market Variables, Trends, & Scope Outlook

  • 3.1. Market Lineage Outlook
  • 3.2. Supply Chain Digital Twin Market - Value Chain Analysis
  • 3.3. Supply Chain Digital Twin Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Industry Analysis - Porter's Five Forces Analysis
    • 3.4.1. Supplier power
    • 3.4.2. Buyer power
    • 3.4.3. Substitution threat
    • 3.4.4. Threat from new entrant
    • 3.4.5. Competitive rivalry
  • 3.5. Industry Analysis - PESTEL Analysis
    • 3.5.1. Political landscape
    • 3.5.2. Economic landscape
    • 3.5.3. Social landscape
    • 3.5.4. Technology landscape
    • 3.5.5. Environmental landscape
    • 3.5.6. Legal landscape
  • 3.6. COVID-19 Impact Analysis

Chapter 4. Supply Chain Digital Twin Market Component Outlook

  • 4.1. Supply Chain Digital Twin market, By Component Analysis & Market Share, 2022 & 2030
  • 4.2. Hardware
    • 4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 4.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 4.3. Software
    • 4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 4.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 4.4. Services
    • 4.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 4.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 5. Supply Chain Digital Twin Market Deployment Mode Outlook

  • 5.1. Supply Chain Digital Twin market, By Deployment Mode Analysis & Market Share, 2022 & 2030
  • 5.2. On-premise
    • 5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 5.3. Cloud
    • 5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 5.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 6. Supply Chain Digital Twin Market Enterprise Size Outlook

  • 6.1. Supply Chain Digital Twin market, By Enterprise Size Analysis & Market Share, 2022 & 2030
  • 6.2. Large Enterprise
    • 6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 6.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 6.3. Small and medium enterprises
    • 6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 6.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 7. Supply Chain Digital Twin Market Industry Vertical Outlook

  • 7.1. Supply Chain Digital Twin market, By Industry Vertical Analysis & Market Share, 2022 & 2030
  • 7.2. Manufacturing
    • 7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.3. Automotive
    • 7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.4. Aerospace & Defense
    • 7.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.4.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.5. Retail
    • 7.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.5.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.6. Pharmaceuticals
    • 7.6.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.6.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.7. Consumer Goods
    • 7.7.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.7.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
  • 7.8. Others
    • 7.8.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
    • 7.8.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)

Chapter 8. Supply Chain Digital Twin market: Regional Estimates & Trend Analysis

  • 8.1. Supply Chain Digital Twin Market Share by Region, 2022 & 2030
  • 8.2. North America
    • 8.2.1. Market estimates and forecasts, 2017 - 2030
    • 8.2.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.2.3. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
    • 8.2.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 8.2.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.2.6. U.S.
      • 8.2.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.2.6.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.2.6.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.2.6.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.2.7. Canada
      • 8.2.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.2.7.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.2.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.2.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Market estimates and forecasts, 2017 - 2030
    • 8.3.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.3.3. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
    • 8.3.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 8.3.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.3.6. Germany
      • 8.3.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.6.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.3.6.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.3.6.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.3.7. UK
      • 8.3.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.7.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.3.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.3.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.3.8. France
      • 8.3.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.3.8.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.3.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.3.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
  • 8.4. Asia-Pacific
    • 8.4.1. Market estimates and forecasts, 2017 - 2030
    • 8.4.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.4.3. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
    • 8.4.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 8.4.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.4.6. China
      • 8.4.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.6.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.4.6.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.4.6.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.4.7. Japan
      • 8.4.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.7.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.4.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.4.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.4.8. India
      • 8.4.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.4.8.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.4.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.4.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Market estimates and forecasts, 2017 - 2030
    • 8.5.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.5.3. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
    • 8.5.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 8.5.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.5.6. Brazil
      • 8.5.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.5.6.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.5.6.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.5.6.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.5.7. Mexico
      • 8.5.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.5.7.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.5.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.5.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
  • 8.6. Middle East & Africa
    • 8.6.1. Market estimates and forecasts, 2017 - 2030
    • 8.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
    • 8.6.3. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
    • 8.6.4. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
    • 8.6.5. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.6.6. United Arab Emirates (UAE)
      • 8.6.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.6.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.6.6.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.6.6.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.6.7. Kingdom of Saudi Arabia(KSA)
      • 8.6.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.7.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.6.7.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.6.7.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)
    • 8.6.8. South Africa
      • 8.6.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
      • 8.6.8.2. Market estimates and forecasts, By Deployment Mode, 2017 - 2030 (USD Million)
      • 8.6.8.3. Market estimates and forecasts, By Enterprise Size, 2017 - 2030 (USD Million)
      • 8.6.8.4. Market estimates and forecasts, By Industry Vertical, 2017 - 2030 (USD Million)

Chapter 9. Supply Chain Digital Twin Market Competitive Landscape

  • 9.1. Key Market Participants
    • 9.1.1. IBM
    • 9.1.2. Oracle
    • 9.1.3. SAP
    • 9.1.4. Dassault Systemes
    • 9.1.5. AVEVA
    • 9.1.6. Siemens Digital Industries Software
    • 9.1.7. Kinaxis
    • 9.1.8. The AnyLogic Company
    • 9.1.9. Simio
    • 9.1.10. Logivations
  • 9.2. Key Company Market Share Analysis, 2022
  • 9.3. Company Categorization/Position Analysis, 2022
  • 9.4. Strategic Mapping
    • 9.4.1. Expansion
    • 9.4.2. Mergers & Acquisition
    • 9.4.3. Partnership & Collaborations
    • 9.4.4. Product/service launch
    • 9.4.5. Others