시장보고서
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통신 분야 디지털 트윈 시장 : 시장 규모, 점유율, 동향 분석 보고서 - 조직 규모별, 구성요소별, 기술별, 최종사용자별, 전개 방식별, 지역별 전망 및 예측(2024-2031년)

Global Digital Twin in Telecom Market Size, Share & Trends Analysis Report By Organization Size, By Component, By Technology, By End User, By Deployment Type (Cloud-Based, On-Premise, and Hybrid), By Regional Outlook and Forecast, 2024 - 2031

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 350 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 통신 분야 디지털 트윈 시장 규모는 예측 기간 동안 연평균 22.0%의 CAGR로 증가하여 2031년까지 1조 6,000억 달러에 달할 것으로 예상됩니다.

KBV Cardinal matrix에 제시된 분석에 따르면, Microsoft Corporation은 2024년 4월, 디지털 현실 솔루션 분야의 세계 리더인 Hexagon과 클라우드 기술을 통해 제조업을 재정의하기 위해 파트너십을 체결했습니다. 이번 협력을 통해 Hexagon의 디지털 트윈 기술이 Microsoft Azure 및 Microsoft 365와 통합되어 민첩한 워크플로우를 생성하고 엔지니어링 생산성을 향상시킬 수 있게 되었습니다. Huawei Technologies Co., Ltd., Oracle Corporation, General Electric Company와 같은 기업들은 통신 분야 디지털 트윈 시장의 주요 혁신가들입니다.

시장 성장요인

5G 네트워크는 수많은 연결 장치, 초저지연, 고속 서비스를 지원하도록 설계되었기 때문에 적응형 동적 관리 접근 방식이 필요합니다. 디지털 트윈은 통신 사업자에게 네트워크 성능을 실시간으로 지속적으로 모니터링하고 최적화할 수 있는 도구를 제공합니다. 디지털 트윈은 네트워크가 변화하는 상황에 대응하는 방식을 시뮬레이션하여 통신 사업자가 인프라 및 자원 관리를 적절히 조정하여 5G 서비스가 사용자와 기업의 높은 기대에 부응할 수 있도록 지원합니다. 따라서 디지털 트윈은 5G 네트워크의 성공적인 가상화 및 배포에 필수적이며, 그 성장이 시장 확대를 주도하고 있습니다.

이러한 고객 중심적 접근 방식은 보다 적극적인 참여도 촉진합니다. 실제 시나리오를 모델링하고 잠재적인 중단 및 서비스 요구 사항을 예측할 수 있는 기능을 통해 통신 사업자는 미리 예측할 수 있는 서비스를 제공할 수 있습니다. 고객이 문제를 보고할 때까지 기다리는 대신, 사업자는 잠재적인 서비스 격차를 선제적으로 해결하거나 고객이 필요를 인식하기 전에 타겟팅된 프로모션을 제공할 수 있습니다. 이러한 수준의 선견지명은 신뢰와 충성도를 구축하여 통신 사업자가 고객의 요구에 더욱 민감하고 세심한 존재로 자리매김할 수 있습니다. 따라서 통신 산업에 디지털 트윈을 통합함으로써 사업자는 수동적인 서비스 모델에서 능동적이고 고객 중심적인 모델로 전환하여 시장 성장을 촉진할 수 있습니다.

시장 억제요인

높은 비용은 하드웨어와 소프트웨어에만 국한되지 않습니다. 채용, 교육 및 지속적인 지원은 모두 통신 사업자가 이러한 시스템을 관리하고 유지하기 위해 유능한 인력에 투자하는 데 필수적인 요소입니다. 이러한 자본 지출과 운영 비용의 조합은 특히 단기적인 재정적 압박과 느린 ROI를 고려할 때 많은 기업들이 디지털 트윈 기술을 도입하는 데 어려움을 겪습니다. 따라서 높은 비용은 시장 성장을 저해하는 요인이 될 수 있습니다.

구성요소 전망

구성요소를 기준으로 시장은 플랫폼, 소프트웨어, 서비스로 분류됩니다. 플랫폼 부문은 2023년 시장에서 43%의 매출 점유율을 차지했습니다. 통신 네트워크의 가상 복제본 생성과 관련된 복잡한 데이터 기반 프로세스는 이러한 프로세스를 관리하는 데있어 디지털 트윈 플랫폼의 중요한 역할에 기인 할 수 있습니다. 이러한 플랫폼을 통해 통신 사업자는 네트워크를 실시간으로 시뮬레이션, 분석 및 최적화할 수 있습니다. 통신사들이 네트워크의 효율성, 탄력성 및 자동화에 점점 더 중점을 두면서 데이터를 모니터링하고 관리할 수 있는 종합적인 기능을 제공하는 플랫폼이 필수적입니다.

기술 전망

기술에 따라 시장은 사물인터넷(IoT), 인공지능(AI), 빅데이터 분석, 클라우드 컴퓨팅 등으로 나뉩니다. 사물인터넷(IoT) 부문은 2023년 시장에서 31%의 매출 점유율을 차지했습니다. 통신 사업자는 디지털 트윈 기술과 IoT 장치에서 생성되는 방대한 양의 데이터를 통합하여 네트워크의 실시간 동적 모델을 개발할 수 있습니다. 이러한 디지털 복제본을 통해 사업자는 연결된 장치를 추적 및 관리하고, 잠재적 장애를 예측하고, 네트워크 성능을 최적화하고, 서비스 제공을 개선할 수 있습니다.

전개 유형 전망

전개 유형에 따라 시장은 클라우드 기반, 온프레미스, 하이브리드로 분류됩니다. 클라우드 기반 부문은 2023년 시장에서 48%의 매출 점유율을 기록했습니다. 디지털 트윈 디지털 트윈에 필요한 동적 시뮬레이션에 필수적입니다.

최종사용자 전망

최종사용자를 기준으로 시장은 통신 사업자, 통신 서비스 제공 업체(CSP), 모바일 네트워크 사업자(MNO), 인터넷 서비스 제공 업체(ISP) 등으로 분류됩니다. 통신 서비스 제공 업체(CSP) 부문은 2023년 시장에서 29%의 매출 점유율을 차지했으며, CSP는 광대역, 음성, 데이터, 클라우드 서비스 등 다양한 통신 서비스를 기업과 소비자에게 제공합니다. 디지털 트윈 기술은 CSP가 지원하는 방대한 인프라를 관리하고 최적화할 수 있는 강력한 도구를 제공합니다.

조직 규모 전망

조직 규모에 따라 시장은 대기업과 중소기업(SME)으로 나뉩니다. 중소기업(SME) 부문은 2023년 시장에서 37%의 매출 점유율을 기록했습니다. 중소기업은 일반적으로 대기업보다 소규모로 운영되지만 네트워크의 효율성과 성능을 향상시키는 디지털 트윈 기술의 가치를 점점 더 많이 인식하고 있습니다. 디지털 트윈을 채택하면 중소기업은 네트워크 운영을 간소화하고 비용을 절감하며 서비스 안정성을 향상시켜 경쟁 우위를 확보할 수 있습니다.

지역 전망

지역별로 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카에 걸쳐 분석되었습니다. 북미 부문은 2023년 시장에서 35%의 매출 점유율을 차지했습니다. 북미에는 세계 최대 규모의 통신 사업자와 통신 서비스 제공업체(CSP)가 있으며, 이들은 네트워크 운영을 최적화하고 고객 경험을 향상시킬 수 있는 혁신적인 방법을 지속적으로 모색하고 있습니다. 디지털 트윈을 통해 사업자는 네트워크의 동작을 시뮬레이션하고 장애를 예측하며 서비스 제공을 실시간으로 최적화할 수 있습니다. 이는 네트워크가 점점 더 복잡해짐에 따라 더욱 중요해집니다.

목차

제1장 시장 범위와 조사 방법

  • 시장 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 요람

  • 주요 하이라이트

제3장 시장 개요

  • 소개
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장 과제

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 전개
    • 파트너십, 협업, 계약
    • 제품 발매와 제품 확대
    • 인수와 합병
  • 시장 점유율 분석, 2023년
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 활동
  • Porter's Five Forces 분석

제5장 세계의 통신 분야 디지털 트윈 시장 : 조직 규모별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제6장 세계의 통신 분야 디지털 트윈 시장 : 구성요소별

  • 세계의 플랫폼 시장 : 지역별
  • 세계의 소프트웨어 시장 : 지역별
  • 세계의 서비스 시장 : 지역별

제7장 세계의 통신 분야 디지털 트윈 시장 : 기술별

  • 세계의 사물인터넷(IoT) 시장 : 지역별
  • 세계의 인공지능(AI) 시장 : 지역별
  • 세계의 빅데이터 분석 시장 : 지역별
  • 세계의 클라우드 컴퓨팅·기타 시장 : 지역별

제8장 세계의 통신 분야 디지털 트윈 시장 : 최종사용자별

  • 세계의 통신사업자 시장 : 지역별
  • 세계의 통신 서비스 프로바이더(CSP) 시장 : 지역별
  • 세계의 모바일 네트워크 오퍼레이터(MNO) 시장 : 지역별
  • 세계의 인터넷 서비스 프로바이더(ISP) 시장 : 지역별
  • 세계의 기타 최종사용자 시장 : 지역별

제9장 세계의 통신 분야 디지털 트윈 시장 : 전개 방식별

  • 세계의 클라우드 기반 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별
  • 세계의 하이브리드 시장 : 지역별

제10장 세계의 통신 분야 디지털 트윈 시장 : 지역별

  • 북미
    • 북미의 통신 분야 디지털 트윈 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미
  • 유럽
    • 유럽의 통신 분야 디지털 트윈 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽
  • 아시아태평양
    • 아시아태평양의 통신 분야 디지털 트윈 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 싱가포르
      • 말레이시아
      • 기타 아시아태평양
  • 라틴아메리카, 중동 및 아프리카
    • 라틴아메리카, 중동 및 아프리카 통신 분야 디지털 트윈 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카, 중동 및 아프리카

제11장 기업 개요

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Siemens AG
  • Schneider Electric SE
  • General Electric Company
  • Nokia Corporation
  • Huawei Technologies Co, Ltd.(Huawei Investment & Holding Co., Ltd.)
  • Ericsson AB

제12장 통신 분야 디지털 트윈 시장 성공 필수 조건

ksm 24.11.19

The Global Digital Twin in Telecom Market size is expected to reach $1.6 Trillion by 2031, rising at a market growth of 22.0% CAGR during the forecast period.

Europe is a leader in deploying advanced technologies like 5G, and the demand for digital twins is growing rapidly due to the region's focus on improving network efficiency and enabling new services such as smart cities, Industry 4.0, and IoT-based applications. Hence, the Europe segment procured 32% revenue share in the market in 2023. Europe's telecom operators and service providers increasingly use digital twins to model complex network systems, manage resource allocation, and enhance operational efficiency. Additionally, the European Union's push towards digitalization and smart infrastructure projects has driven the adoption of digital twin technology.

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 September, 2024, Huawei Technologies (Malaysia) partnered with CelcomDigi, a leading Malaysian telecom operator, to enhance CelcomDigi's network with intelligent capabilities through Huawei's IntelligentRAN solution. Additionally, in October, 2023, SAP SE partnered with Accenture, an Irish technology company, to integrate generative AI into organizations' core business processes, leveraging SAP technology like SAP S/4HANA Cloud. This partnership would enhance business performance, employee productivity, and decision-making by developing AI-enabled solutions and use cases across various industries, including supply chain management, finance, and digital twin applications.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. In April, 2024, Microsoft Corporation partnered with Hexagon, a global leader in digital reality solutions, to redefine manufacturing through cloud technology. The collaboration will integrate Hexagon's digital twin technologies with Microsoft Azure and Microsoft 365, creating agile workflows and enhancing productivity in engineering. Companies such as Huawei Technologies Co., Ltd., Oracle Corporation, General Electric Company are some of the key innovators in Digital Twin in Telecom Market.

Market Growth Factors

As 5G networks are designed to support many connected devices, ultra-low latency, and high-speed services, they require an adaptive and dynamic management approach. Digital twins provide telecom operators with the tools to continuously monitor and optimize network performance in real-time. By simulating how the network will respond to changing conditions, digital twins enable operators to adjust their infrastructure and resource management, accordingly, ensuring that 5G services meet the high expectations of users and businesses. Hence, digital twins are essential for the successful virtualization and deployment of 5G networks, the growth of which is propelling the expansion of the market.

This customer-centric approach also facilitates more proactive engagement. With the ability to model real-world scenarios and predict potential disruptions or service needs, telecom providers can offer anticipatory services. Instead of waiting for customers to report an issue, operators can proactively address potential service gaps or offer targeted promotions before customers even realize a need. This level of foresight builds trust and loyalty, positioning telecom providers as more responsive and attentive to customer needs. Thus, integrating digital twins into the telecom industry helps providers shift from a reactive service model to a proactive and customer-centric one, driving the market's growth.

Market Restraining Factors

The high costs extend beyond just hardware and software. Recruitment, training, and ongoing support are all necessary components of the investment in competent personnel by telecom operators to manage and maintain these systems. For many companies, this combination of capital expenditure and operational expenses makes adopting digital twin technology challenging, especially when short-term financial pressures and a slow ROI are factored in. Thus, the high cost may hamper the growth of the market.

Component Outlook

Based on component, the market is classified into platform, software, and services. The platform segment garnered 43% revenue share in the market in 2023. The complex, data-driven processes involved in the creation of virtual replicas of telecom networks can be attributed to the critical role of digital twin platforms in administering such processes. These platforms enable telecom operators to simulate, analyze, and optimize their networks in real-time. As telecom companies increasingly focus on network efficiency, resilience, and automation, platforms that offer comprehensive capabilities for monitoring and managing data have become essential.

Technology Outlook

On the basis of technology, the market is divided into the Internet of Things (IoT), artificial intelligence (AI), Big Data analytics, cloud computing, and others. The Internet of Things (IoT) segment acquired 31% revenue share in the market in 2023. Telecom operators can develop real-time, dynamic models of their networks by integrating digital twin technology with the vast amounts of data generated by IoT devices. These digital replicas allow operators to track and manage connected devices, predict potential failures, optimize network performance, and improve service delivery.

Deployment Type Outlook

By deployment type, the market is segmented into cloud-based, on-premises, and hybrid. The cloud-based segment witnessed 48% revenue share in the market in 2023. Cloud-based deployment of digital twins has gained traction due to its scalability, flexibility, and cost-effectiveness. Telecom operators can leverage cloud infrastructure to store and process vast amounts of data in real-time, which is essential for the dynamic simulations required by digital twins.

End User Outlook

Based on end user, the market is classified into telecom operators, communication service providers (CSPs), mobile network operators (MNOs), Internet service providers (ISPs), and others. The communication service providers (CSPs) segment acquired 29% revenue share in the market in 2023. CSPs deliver various communication services to businesses and consumers, including broadband, voice, data, and cloud services. Digital twin technology provides CSPs with a powerful tool to manage and optimize the vast infrastructure they support.

Organization Size Outlook

On the basis of organization size, the market is bifurcated into large enterprises and small & medium-sized enterprises (SMEs). The small & medium-sized enterprises (SMEs) segment witnessed 37% revenue share in the market in 2023. While SMEs typically operate on a smaller scale than large enterprises, they increasingly recognize the value of digital twin technology to improve network efficiency and performance. Adopting digital twins can offer SMEs a competitive advantage by streamlining network operations, reducing costs, and improving service reliability.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment garnered 35% revenue share in the market in 2023. North America is home to some of the world's largest telecom operators and communication service providers (CSPs), constantly seeking innovative ways to optimize network operations and improve customer experiences. Digital twins enable operators to simulate network behaviors, predict failures, and optimize service delivery in real-time, which is especially important as networks grow in complexity.

Recent Strategies Deployed in the Market

  • Aug-2024: Nokia came into partnership with YellowScan, a leading provider of advanced LiDAR technology, to enhance industrial operations through 5G-based LiDAR scanning. This collaboration will integrate YellowScan's Surveyor Ultra into Nokia's Drone Networks, enabling real-time data transmission and the creation of highly accurate digital twins for telecom towers and utility inspections.
  • Jan-2024: Microsoft entered into partnership with Vodafone, a British telecommunications company, to deliver generative AI, digital, enterprise, and cloud services to over 300 million businesses and consumers across Europe and Africa. This partnership will enhance Vodafone's managed IoT platform and mobile financial services, particularly the M-PESA platform in Africa, while leveraging Microsoft's AI capabilities to improve customer service and operational efficiency.
  • Dec-2023: Ericsson partnered with AT&T, a U.S. telecom giant, to drive the transformation of Open RAN and 5G networks. Ericsson will deploy cloud-native Open RAN products, supporting innovations such as rApps, automation, and digital twins for network management. This collaboration will accelerate digital transformation and create new monetization opportunities in the U.S. telecom infrastructure.
  • Oct-2023: Microsoft Corporation showcased its new Azure Digital Twins service. Azure Digital Twins enabled users to digitally model their physical spaces and incorporate real-time location data of people and devices within those spaces.
  • Oct-2023: Nokia partnered with Rockwell Automation, a U.S.-based industrial automation company, to enhance industrial connectivity through private 5G networks using CBRS spectrum. This collaboration focuses on improving operational efficiency, real-time data analytics, and reducing downtime by optimizing network performance with Nokia's technology. These innovations also enable emerging technologies such as AI, digital twins, and industrial IoT, ensuring industries remain competitive and future-ready.

List of Key Companies Profiled

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Siemens AG
  • Schneider Electric SE
  • General Electric Company
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Nokia Corporation
  • Ericsson AB

Global Digital Twin in Telecom Market Report Segmentation

By Organization Size

  • Large Enterprises
  • Small & Medium-Sized Enterprises (SMEs)

By Component

  • Platform
  • Software
  • Services

By Technology

  • Internet of Things (IoT)
  • Artificial Intelligence (AI)
  • Big Data Analytics
  • Cloud Computing & Others

By End User

  • Telecom Operators
  • Communication Service Providers (CSPs)
  • Mobile Network Operators (MNOs)
  • Internet Service Providers (ISPs)
  • Other End User

By Deployment Type

  • Cloud-Based
  • On-Premise
  • Hybrid

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Digital Twin in Telecom Market, by Organization Size
    • 1.4.2 Global Digital Twin in Telecom Market, by Component
    • 1.4.3 Global Digital Twin in Telecom Market, by Technology
    • 1.4.4 Global Digital Twin in Telecom Market, by End User
    • 1.4.5 Global Digital Twin in Telecom Market, by Deployment Type
    • 1.4.6 Global Digital Twin in Telecom Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2023
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2020, Sep - 2024, Sep) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Global Digital Twin in Telecom Market by Organization Size

  • 5.1 Global Large Enterprises Market by Region
  • 5.2 Global Small & Medium-Sized Enterprises (SMEs) Market by Region

Chapter 6. Global Digital Twin in Telecom Market by Component

  • 6.1 Global Platform Market by Region
  • 6.2 Global Software Market by Region
  • 6.3 Global Services Market by Region

Chapter 7. Global Digital Twin in Telecom Market by Technology

  • 7.1 Global Internet of Things (IoT) Market by Region
  • 7.2 Global Artificial Intelligence (AI) Market by Region
  • 7.3 Global Big Data Analytics Market by Region
  • 7.4 Global Cloud Computing & Others Market by Region

Chapter 8. Global Digital Twin in Telecom Market by End User

  • 8.1 Global Telecom Operators Market by Region
  • 8.2 Global Communication Service Providers (CSPs) Market by Region
  • 8.3 Global Mobile Network Operators (MNOs) Market by Region
  • 8.4 Global Internet Service Providers (ISPs) Market by Region
  • 8.5 Global Other End User Market by Region

Chapter 9. Global Digital Twin in Telecom Market by Deployment Type

  • 9.1 Global Cloud-Based Market by Region
  • 9.2 Global On-Premise Market by Region
  • 9.3 Global Hybrid Market by Region

Chapter 10. Global Digital Twin in Telecom Market by Region

  • 10.1 North America Digital Twin in Telecom Market
    • 10.1.1 North America Digital Twin in Telecom Market by Organization Size
      • 10.1.1.1 North America Large Enterprises Market by Region
      • 10.1.1.2 North America Small & Medium-Sized Enterprises (SMEs) Market by Region
    • 10.1.2 North America Digital Twin in Telecom Market by Component
      • 10.1.2.1 North America Platform Market by Country
      • 10.1.2.2 North America Software Market by Country
      • 10.1.2.3 North America Services Market by Country
    • 10.1.3 North America Digital Twin in Telecom Market by Technology
      • 10.1.3.1 North America Internet of Things (IoT) Market by Country
      • 10.1.3.2 North America Artificial Intelligence (AI) Market by Country
      • 10.1.3.3 North America Big Data Analytics Market by Country
      • 10.1.3.4 North America Cloud Computing & Others Market by Country
    • 10.1.4 North America Digital Twin in Telecom Market by End User
      • 10.1.4.1 North America Telecom Operators Market by Country
      • 10.1.4.2 North America Communication Service Providers (CSPs) Market by Country
      • 10.1.4.3 North America Mobile Network Operators (MNOs) Market by Country
      • 10.1.4.4 North America Internet Service Providers (ISPs) Market by Country
      • 10.1.4.5 North America Other End User Market by Country
    • 10.1.5 North America Digital Twin in Telecom Market by Deployment Type
      • 10.1.5.1 North America Cloud-Based Market by Country
      • 10.1.5.2 North America On-Premise Market by Country
      • 10.1.5.3 North America Hybrid Market by Country
    • 10.1.6 North America Digital Twin in Telecom Market by Country
      • 10.1.6.1 US Digital Twin in Telecom Market
        • 10.1.6.1.1 US Digital Twin in Telecom Market by Organization Size
        • 10.1.6.1.2 US Digital Twin in Telecom Market by Component
        • 10.1.6.1.3 US Digital Twin in Telecom Market by Technology
        • 10.1.6.1.4 US Digital Twin in Telecom Market by End User
        • 10.1.6.1.5 US Digital Twin in Telecom Market by Deployment Type
      • 10.1.6.2 Canada Digital Twin in Telecom Market
        • 10.1.6.2.1 Canada Digital Twin in Telecom Market by Organization Size
        • 10.1.6.2.2 Canada Digital Twin in Telecom Market by Component
        • 10.1.6.2.3 Canada Digital Twin in Telecom Market by Technology
        • 10.1.6.2.4 Canada Digital Twin in Telecom Market by End User
        • 10.1.6.2.5 Canada Digital Twin in Telecom Market by Deployment Type
      • 10.1.6.3 Mexico Digital Twin in Telecom Market
        • 10.1.6.3.1 Mexico Digital Twin in Telecom Market by Organization Size
        • 10.1.6.3.2 Mexico Digital Twin in Telecom Market by Component
        • 10.1.6.3.3 Mexico Digital Twin in Telecom Market by Technology
        • 10.1.6.3.4 Mexico Digital Twin in Telecom Market by End User
        • 10.1.6.3.5 Mexico Digital Twin in Telecom Market by Deployment Type
      • 10.1.6.4 Rest of North America Digital Twin in Telecom Market
        • 10.1.6.4.1 Rest of North America Digital Twin in Telecom Market by Organization Size
        • 10.1.6.4.2 Rest of North America Digital Twin in Telecom Market by Component
        • 10.1.6.4.3 Rest of North America Digital Twin in Telecom Market by Technology
        • 10.1.6.4.4 Rest of North America Digital Twin in Telecom Market by End User
        • 10.1.6.4.5 Rest of North America Digital Twin in Telecom Market by Deployment Type
  • 10.2 Europe Digital Twin in Telecom Market
    • 10.2.1 Europe Digital Twin in Telecom Market by Organization Size
      • 10.2.1.1 Europe Large Enterprises Market by Country
      • 10.2.1.2 Europe Small & Medium-Sized Enterprises (SMEs) Market by Country
    • 10.2.2 Europe Digital Twin in Telecom Market by Component
      • 10.2.2.1 Europe Platform Market by Country
      • 10.2.2.2 Europe Software Market by Country
      • 10.2.2.3 Europe Services Market by Country
    • 10.2.3 Europe Digital Twin in Telecom Market by Technology
      • 10.2.3.1 Europe Internet of Things (IoT) Market by Country
      • 10.2.3.2 Europe Artificial Intelligence (AI) Market by Country
      • 10.2.3.3 Europe Big Data Analytics Market by Country
      • 10.2.3.4 Europe Cloud Computing & Others Market by Country
    • 10.2.4 Europe Digital Twin in Telecom Market by End User
      • 10.2.4.1 Europe Telecom Operators Market by Country
      • 10.2.4.2 Europe Communication Service Providers (CSPs) Market by Country
      • 10.2.4.3 Europe Mobile Network Operators (MNOs) Market by Country
      • 10.2.4.4 Europe Internet Service Providers (ISPs) Market by Country
      • 10.2.4.5 Europe Other End User Market by Country
    • 10.2.5 Europe Digital Twin in Telecom Market by Deployment Type
      • 10.2.5.1 Europe Cloud-Based Market by Country
      • 10.2.5.2 Europe On-Premise Market by Country
      • 10.2.5.3 Europe Hybrid Market by Country
    • 10.2.6 Europe Digital Twin in Telecom Market by Country
      • 10.2.6.1 Germany Digital Twin in Telecom Market
        • 10.2.6.1.1 Germany Digital Twin in Telecom Market by Organization Size
        • 10.2.6.1.2 Germany Digital Twin in Telecom Market by Component
        • 10.2.6.1.3 Germany Digital Twin in Telecom Market by Technology
        • 10.2.6.1.4 Germany Digital Twin in Telecom Market by End User
        • 10.2.6.1.5 Germany Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.2 UK Digital Twin in Telecom Market
        • 10.2.6.2.1 UK Digital Twin in Telecom Market by Organization Size
        • 10.2.6.2.2 UK Digital Twin in Telecom Market by Component
        • 10.2.6.2.3 UK Digital Twin in Telecom Market by Technology
        • 10.2.6.2.4 UK Digital Twin in Telecom Market by End User
        • 10.2.6.2.5 UK Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.3 France Digital Twin in Telecom Market
        • 10.2.6.3.1 France Digital Twin in Telecom Market by Organization Size
        • 10.2.6.3.2 France Digital Twin in Telecom Market by Component
        • 10.2.6.3.3 France Digital Twin in Telecom Market by Technology
        • 10.2.6.3.4 France Digital Twin in Telecom Market by End User
        • 10.2.6.3.5 France Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.4 Russia Digital Twin in Telecom Market
        • 10.2.6.4.1 Russia Digital Twin in Telecom Market by Organization Size
        • 10.2.6.4.2 Russia Digital Twin in Telecom Market by Component
        • 10.2.6.4.3 Russia Digital Twin in Telecom Market by Technology
        • 10.2.6.4.4 Russia Digital Twin in Telecom Market by End User
        • 10.2.6.4.5 Russia Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.5 Spain Digital Twin in Telecom Market
        • 10.2.6.5.1 Spain Digital Twin in Telecom Market by Organization Size
        • 10.2.6.5.2 Spain Digital Twin in Telecom Market by Component
        • 10.2.6.5.3 Spain Digital Twin in Telecom Market by Technology
        • 10.2.6.5.4 Spain Digital Twin in Telecom Market by End User
        • 10.2.6.5.5 Spain Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.6 Italy Digital Twin in Telecom Market
        • 10.2.6.6.1 Italy Digital Twin in Telecom Market by Organization Size
        • 10.2.6.6.2 Italy Digital Twin in Telecom Market by Component
        • 10.2.6.6.3 Italy Digital Twin in Telecom Market by Technology
        • 10.2.6.6.4 Italy Digital Twin in Telecom Market by End User
        • 10.2.6.6.5 Italy Digital Twin in Telecom Market by Deployment Type
      • 10.2.6.7 Rest of Europe Digital Twin in Telecom Market
        • 10.2.6.7.1 Rest of Europe Digital Twin in Telecom Market by Organization Size
        • 10.2.6.7.2 Rest of Europe Digital Twin in Telecom Market by Component
        • 10.2.6.7.3 Rest of Europe Digital Twin in Telecom Market by Technology
        • 10.2.6.7.4 Rest of Europe Digital Twin in Telecom Market by End User
        • 10.2.6.7.5 Rest of Europe Digital Twin in Telecom Market by Deployment Type
  • 10.3 Asia Pacific Digital Twin in Telecom Market
    • 10.3.1 Asia Pacific Digital Twin in Telecom Market by Organization Size
      • 10.3.1.1 Asia Pacific Large Enterprises Market by Country
      • 10.3.1.2 Asia Pacific Small & Medium-Sized Enterprises (SMEs) Market by Country
    • 10.3.2 Asia Pacific Digital Twin in Telecom Market by Component
      • 10.3.2.1 Asia Pacific Platform Market by Country
      • 10.3.2.2 Asia Pacific Software Market by Country
      • 10.3.2.3 Asia Pacific Services Market by Country
    • 10.3.3 Asia Pacific Digital Twin in Telecom Market by Technology
      • 10.3.3.1 Asia Pacific Internet of Things (IoT) Market by Country
      • 10.3.3.2 Asia Pacific Artificial Intelligence (AI) Market by Country
      • 10.3.3.3 Asia Pacific Big Data Analytics Market by Country
      • 10.3.3.4 Asia Pacific Cloud Computing & Others Market by Country
    • 10.3.4 Asia Pacific Digital Twin in Telecom Market by End User
      • 10.3.4.1 Asia Pacific Telecom Operators Market by Country
      • 10.3.4.2 Asia Pacific Communication Service Providers (CSPs) Market by Country
      • 10.3.4.3 Asia Pacific Mobile Network Operators (MNOs) Market by Country
      • 10.3.4.4 Asia Pacific Internet Service Providers (ISPs) Market by Country
      • 10.3.4.5 Asia Pacific Other End User Market by Country
    • 10.3.5 Asia Pacific Digital Twin in Telecom Market by Deployment Type
      • 10.3.5.1 Asia Pacific Cloud-Based Market by Country
      • 10.3.5.2 Asia Pacific On-Premise Market by Country
      • 10.3.5.3 Asia Pacific Hybrid Market by Country
    • 10.3.6 Asia Pacific Digital Twin in Telecom Market by Country
      • 10.3.6.1 China Digital Twin in Telecom Market
        • 10.3.6.1.1 China Digital Twin in Telecom Market by Organization Size
        • 10.3.6.1.2 China Digital Twin in Telecom Market by Component
        • 10.3.6.1.3 China Digital Twin in Telecom Market by Technology
        • 10.3.6.1.4 China Digital Twin in Telecom Market by End User
        • 10.3.6.1.5 China Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.2 Japan Digital Twin in Telecom Market
        • 10.3.6.2.1 Japan Digital Twin in Telecom Market by Organization Size
        • 10.3.6.2.2 Japan Digital Twin in Telecom Market by Component
        • 10.3.6.2.3 Japan Digital Twin in Telecom Market by Technology
        • 10.3.6.2.4 Japan Digital Twin in Telecom Market by End User
        • 10.3.6.2.5 Japan Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.3 India Digital Twin in Telecom Market
        • 10.3.6.3.1 India Digital Twin in Telecom Market by Organization Size
        • 10.3.6.3.2 India Digital Twin in Telecom Market by Component
        • 10.3.6.3.3 India Digital Twin in Telecom Market by Technology
        • 10.3.6.3.4 India Digital Twin in Telecom Market by End User
        • 10.3.6.3.5 India Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.4 South Korea Digital Twin in Telecom Market
        • 10.3.6.4.1 South Korea Digital Twin in Telecom Market by Organization Size
        • 10.3.6.4.2 South Korea Digital Twin in Telecom Market by Component
        • 10.3.6.4.3 South Korea Digital Twin in Telecom Market by Technology
        • 10.3.6.4.4 South Korea Digital Twin in Telecom Market by End User
        • 10.3.6.4.5 South Korea Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.5 Singapore Digital Twin in Telecom Market
        • 10.3.6.5.1 Singapore Digital Twin in Telecom Market by Organization Size
        • 10.3.6.5.2 Singapore Digital Twin in Telecom Market by Component
        • 10.3.6.5.3 Singapore Digital Twin in Telecom Market by Technology
        • 10.3.6.5.4 Singapore Digital Twin in Telecom Market by End User
        • 10.3.6.5.5 Singapore Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.6 Malaysia Digital Twin in Telecom Market
        • 10.3.6.6.1 Malaysia Digital Twin in Telecom Market by Organization Size
        • 10.3.6.6.2 Malaysia Digital Twin in Telecom Market by Component
        • 10.3.6.6.3 Malaysia Digital Twin in Telecom Market by Technology
        • 10.3.6.6.4 Malaysia Digital Twin in Telecom Market by End User
        • 10.3.6.6.5 Malaysia Digital Twin in Telecom Market by Deployment Type
      • 10.3.6.7 Rest of Asia Pacific Digital Twin in Telecom Market
        • 10.3.6.7.1 Rest of Asia Pacific Digital Twin in Telecom Market by Organization Size
        • 10.3.6.7.2 Rest of Asia Pacific Digital Twin in Telecom Market by Component
        • 10.3.6.7.3 Rest of Asia Pacific Digital Twin in Telecom Market by Technology
        • 10.3.6.7.4 Rest of Asia Pacific Digital Twin in Telecom Market by End User
        • 10.3.6.7.5 Rest of Asia Pacific Digital Twin in Telecom Market by Deployment Type
  • 10.4 LAMEA Digital Twin in Telecom Market
    • 10.4.1 LAMEA Digital Twin in Telecom Market by Organization Size
      • 10.4.1.1 LAMEA Large Enterprises Market by Country
      • 10.4.1.2 LAMEA Small & Medium-Sized Enterprises (SMEs) Market by Country
    • 10.4.2 LAMEA Digital Twin in Telecom Market by Component
      • 10.4.2.1 LAMEA Platform Market by Country
      • 10.4.2.2 LAMEA Software Market by Country
      • 10.4.2.3 LAMEA Services Market by Country
    • 10.4.3 LAMEA Digital Twin in Telecom Market by Technology
      • 10.4.3.1 LAMEA Internet of Things (IoT) Market by Country
      • 10.4.3.2 LAMEA Artificial Intelligence (AI) Market by Country
      • 10.4.3.3 LAMEA Big Data Analytics Market by Country
      • 10.4.3.4 LAMEA Cloud Computing & Others Market by Country
    • 10.4.4 LAMEA Digital Twin in Telecom Market by End User
      • 10.4.4.1 LAMEA Telecom Operators Market by Country
      • 10.4.4.2 LAMEA Communication Service Providers (CSPs) Market by Country
      • 10.4.4.3 LAMEA Mobile Network Operators (MNOs) Market by Country
      • 10.4.4.4 LAMEA Internet Service Providers (ISPs) Market by Country
      • 10.4.4.5 LAMEA Other End User Market by Country
    • 10.4.5 LAMEA Digital Twin in Telecom Market by Deployment Type
      • 10.4.5.1 LAMEA Cloud-Based Market by Country
      • 10.4.5.2 LAMEA On-Premise Market by Country
      • 10.4.5.3 LAMEA Hybrid Market by Country
    • 10.4.6 LAMEA Digital Twin in Telecom Market by Country
      • 10.4.6.1 Brazil Digital Twin in Telecom Market
        • 10.4.6.1.1 Brazil Digital Twin in Telecom Market by Organization Size
        • 10.4.6.1.2 Brazil Digital Twin in Telecom Market by Component
        • 10.4.6.1.3 Brazil Digital Twin in Telecom Market by Technology
        • 10.4.6.1.4 Brazil Digital Twin in Telecom Market by End User
        • 10.4.6.1.5 Brazil Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.2 Argentina Digital Twin in Telecom Market
        • 10.4.6.2.1 Argentina Digital Twin in Telecom Market by Organization Size
        • 10.4.6.2.2 Argentina Digital Twin in Telecom Market by Component
        • 10.4.6.2.3 Argentina Digital Twin in Telecom Market by Technology
        • 10.4.6.2.4 Argentina Digital Twin in Telecom Market by End User
        • 10.4.6.2.5 Argentina Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.3 UAE Digital Twin in Telecom Market
        • 10.4.6.3.1 UAE Digital Twin in Telecom Market by Organization Size
        • 10.4.6.3.2 UAE Digital Twin in Telecom Market by Component
        • 10.4.6.3.3 UAE Digital Twin in Telecom Market by Technology
        • 10.4.6.3.4 UAE Digital Twin in Telecom Market by End User
        • 10.4.6.3.5 UAE Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.4 Saudi Arabia Digital Twin in Telecom Market
        • 10.4.6.4.1 Saudi Arabia Digital Twin in Telecom Market by Organization Size
        • 10.4.6.4.2 Saudi Arabia Digital Twin in Telecom Market by Component
        • 10.4.6.4.3 Saudi Arabia Digital Twin in Telecom Market by Technology
        • 10.4.6.4.4 Saudi Arabia Digital Twin in Telecom Market by End User
        • 10.4.6.4.5 Saudi Arabia Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.5 South Africa Digital Twin in Telecom Market
        • 10.4.6.5.1 South Africa Digital Twin in Telecom Market by Organization Size
        • 10.4.6.5.2 South Africa Digital Twin in Telecom Market by Component
        • 10.4.6.5.3 South Africa Digital Twin in Telecom Market by Technology
        • 10.4.6.5.4 South Africa Digital Twin in Telecom Market by End User
        • 10.4.6.5.5 South Africa Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.6 Nigeria Digital Twin in Telecom Market
        • 10.4.6.6.1 Nigeria Digital Twin in Telecom Market by Organization Size
        • 10.4.6.6.2 Nigeria Digital Twin in Telecom Market by Component
        • 10.4.6.6.3 Nigeria Digital Twin in Telecom Market by Technology
        • 10.4.6.6.4 Nigeria Digital Twin in Telecom Market by End User
        • 10.4.6.6.5 Nigeria Digital Twin in Telecom Market by Deployment Type
      • 10.4.6.7 Rest of LAMEA Digital Twin in Telecom Market
        • 10.4.6.7.1 Rest of LAMEA Digital Twin in Telecom Market by Organization Size
        • 10.4.6.7.2 Rest of LAMEA Digital Twin in Telecom Market by Component
        • 10.4.6.7.3 Rest of LAMEA Digital Twin in Telecom Market by Technology
        • 10.4.6.7.4 Rest of LAMEA Digital Twin in Telecom Market by End User
        • 10.4.6.7.5 Rest of LAMEA Digital Twin in Telecom Market by Deployment Type

Chapter 11. Company Profiles

  • 11.1 Microsoft Corporation
    • 11.1.1 Company Overview
    • 11.1.2 Financial Analysis
    • 11.1.3 Segmental and Regional Analysis
    • 11.1.4 Research & Development Expenses
    • 11.1.5 Recent strategies and developments:
      • 11.1.5.1 Partnerships, Collaborations, and Agreements:
      • 11.1.5.2 Product Launches and Product Expansions:
    • 11.1.6 SWOT Analysis
  • 11.2 IBM Corporation
    • 11.2.1 Company Overview
    • 11.2.2 Financial Analysis
    • 11.2.3 Regional & Segmental Analysis
    • 11.2.4 Research & Development Expenses
    • 11.2.5 Recent strategies and developments:
      • 11.2.5.1 Partnerships, Collaborations, and Agreements:
    • 11.2.6 SWOT Analysis
  • 11.3 Oracle Corporation
    • 11.3.1 Company Overview
    • 11.3.2 Financial Analysis
    • 11.3.3 Segmental and Regional Analysis
    • 11.3.4 Research & Development Expense
    • 11.3.5 Recent strategies and developments:
      • 11.3.5.1 Partnerships, Collaborations, and Agreements:
    • 11.3.6 SWOT Analysis
  • 11.4 SAP SE
    • 11.4.1 Company Overview
    • 11.4.2 Financial Analysis
    • 11.4.3 Regional Analysis
    • 11.4.4 Research & Development Expense
    • 11.4.5 Recent strategies and developments:
      • 11.4.5.1 Partnerships, Collaborations, and Agreements:
    • 11.4.6 SWOT Analysis
  • 11.5 Siemens AG
    • 11.5.1 Company Overview
    • 11.5.2 Financial Analysis
    • 11.5.3 Segmental and Regional Analysis
    • 11.5.4 Research & Development Expense
    • 11.5.5 Recent strategies and developments:
      • 11.5.5.1 Partnerships, Collaborations, and Agreements:
      • 11.5.5.2 Acquisition and Mergers:
    • 11.5.6 SWOT Analysis
  • 11.6 Schneider Electric SE
    • 11.6.1 Company Overview
    • 11.6.2 Financial Analysis
    • 11.6.3 Segmental and Regional Analysis
    • 11.6.4 Research & Development Expense
    • 11.6.5 SWOT Analysis
  • 11.7 General Electric Company
    • 11.7.1 Company Overview
    • 11.7.2 Financial Analysis
    • 11.7.3 Segmental and Regional Analysis
    • 11.7.4 Research & Development Expense
    • 11.7.5 Recent strategies and developments:
      • 11.7.5.1 Partnerships, Collaborations, and Agreements:
    • 11.7.6 SWOT Analysis
  • 11.8 Nokia Corporation
    • 11.8.1 Company Overview
    • 11.8.2 Financial Analysis
    • 11.8.3 Segmental and Regional Analysis
    • 11.8.4 Research & Development Expense
    • 11.8.5 Recent strategies and developments:
      • 11.8.5.1 Partnerships, Collaborations, and Agreements:
      • 11.8.5.2 Product Launches and Product Expansions:
    • 11.8.6 SWOT Analysis
  • 11.9 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
    • 11.9.1 Company Overview
    • 11.9.2 Financial Analysis
    • 11.9.3 Segmental and Regional Analysis
    • 11.9.4 Research & Development Expenses
    • 11.9.5 Recent strategies and developments:
      • 11.9.5.1 Partnerships, Collaborations, and Agreements:
      • 11.9.5.2 Product Launches and Product Expansions:
    • 11.9.6 SWOT Analysis
  • 11.10. Ericsson AB
    • 11.10.1 Company Overview
    • 11.10.2 Financial Analysis
    • 11.10.3 Segmental and Regional Analysis
    • 11.10.4 Research & Development Expense
    • 11.10.5 Recent strategies and developments:
      • 11.10.5.1 Partnerships, Collaborations, and Agreements:
    • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives of Digital Twin in Telecom Market

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