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디지털 트윈 시장 규모, 점유율 및 동향 분석 보고서 - 유형별, 용도별, 산업별, 지역별 전망 및 예측(2023-2030년)
Global Digital Twin Market Size, Share & Trends Analysis Report By Type (System, Process and Product), By Application, By Industry, By Regional Outlook and Forecast, 2023 - 2030
상품코드 : 1462006
리서치사 : KBV Research
발행일 : 2024년 03월
페이지 정보 : 영문 316 Pages
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한글목차

디지털 트윈 시장 규모는 예측 기간 동안 41.3%의 연평균 복합 성장률(CAGR)로 성장하여 2030년까지 1,954억 달러에 달할 것으로 예상됩니다.

KBV Cardinal Matrix에 제시된 분석에 따르면 Microsoft Corporation은 디지털 트윈 시장의 선구자이며, 2020년12월Microsoft는 Johnson Controls와 협력하여 건물과 공간을 구상, 구축 및 관리하는 방식을 디지털 트윈으로 전환했습니다. Microsoft의 Azure 디지털 트윈은 Johnson Controls와 결합 된 최신 Azure 플랫폼 서비스 중 하나이며 Siemens AG, General Electric Company 및 IBM Corporation과 같은 회사는 디지털 트윈 시장의 주요 혁신가들 중 일부입니다.

시장 성장 요인

디지털 트윈은 점점 더 복잡해지는 제품 및 시스템의 성능을 복제하고 최적화하기 위한 수요가 증가하고 있습니다. 현대 사회는 급속한 기술 발전으로 점점 더 복잡한 제품과 시스템이 개발되고 있습니다. 따라서 제품 및 시스템의 복잡성이 증가함에 따라 디지털 트윈을 사용하여 성능을 시뮬레이션하고 최적화해야 할 필요성이 대두되고 있습니다.

또한, 제조, 에너지, 운송 산업에서 예측 유지보수에 대한 수요가 증가함에 따라 디지털 트윈의 도입이 증가하고 있습니다. 예측 유지보수는 자산의 가동 시간을 극대화하고 유지보수 비용을 최소화하고자 하는 조직에 매우 중요합니다. 이러한 사전 예방적 유지보수 접근 방식을 통해 조직은 비용이 많이 드는 다운타임과 계획되지 않은 중단을 피할 수 있어 비용을 크게 절감하고 운영 효율성을 높일 수 있습니다.

시장 성장 억제요인

디지털 트윈 기술을 구현하려면 하드웨어, 소프트웨어, 인프라 등 다양한 구성 요소에 대한 막대한 초기 투자가 필요합니다. 많은 조직, 특히 예산이 제한된 소규모 조직에서는 이러한 초기 비용이 도입에 큰 걸림돌이 될 수 있습니다. 따라서 이러한 기술의 높은 비용으로 인해 시장 확대에 걸림돌이 될 수 있습니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 요람

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계 시장 : 유형별

제6장 세계 시장 : 용도별

제7장 세계 시장 : 업계별

제8장 세계 시장 : 지역별

제9장 기업 개요

제10장 디지털 트윈 시장을 위한 성공 필수 조건

LSH
영문 목차

영문목차

The Global Digital Twin Market size is expected to reach $195.4 billion by 2030, rising at a market growth of 41.3% CAGR during the forecast period.

The utilization of digital twins permits the development of virtual representations of organs, biological processes, and patients, thereby empowering medical practitioners to customize interventions for each patient. Thus, the Healthcare & Lifesciences segment acquired $1,193.4 million in 2022. This individualized approach to medicine has the potential to improve patient outcomes and care quality.

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 October 2023, Computer Modelling Group Ltd. partnered with global technology leader ABB to integrate CMG's subsurface simulation technology into ABB's digital twin platform for commercial carbon capture and storage (CCS) operations. Additionally, In October, 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.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Digital Twin Market. In December 2020, Microsoft collaborated with Johnson Controls to digitally transform the way buildings and spaces are conceived, built and managed. Microsoft's Azure Digital Twins is one of the latest Azure platform services combined with Johnson Controls. Companies such as Siemens AG, General Electric Company and IBM Corporation are some of the key innovators in Digital Twin Market.

Market Growth Factors

There is a growing demand for digital twins to replicate and optimize the performance of increasingly complex products and systems. The modern world is witnessing a rapid technological evolution, leading to the development of increasingly intricate products and systems. Thus, the increasing complexity of products and systems necessitates using digital twins to simulate and optimize their performance.

Additionally, the demand for predictive maintenance is growing across manufacturing, energy, and transportation industries, driving the adoption of digital twins. Predictive maintenance is crucial for organizations looking to maximize the uptime of their assets while minimizing maintenance costs. This proactive approach to maintenance helps organizations avoid costly downtime and unplanned outages, leading to significant cost savings and improved operational efficiency.

Market Restraining Factors

The implementation of digital twin technology involves a substantial upfront investment in various components such as hardware, software, and infrastructure. Many organizations may find this initial expense to be a substantial impediment to adoption, particularly smaller ones that operate under budgetary constraints. Thus, due to the high cost of these technologies, market expansion may be impeded.

By Type Analysis

Based on type, the market is characterized by system, process, and product. The system segment garnered 50% revenue share in the market in 2022. Digital twin systems are characterized by their ability to collect, store, and analyze real-time data from physical assets or systems. They enable the creation of virtual models that replicate the behavior and characteristics of their physical counterparts.

By Application Analysis

On the basis of application, the market is classified into predictive maintenance & performance monitoring, business optimization, inventory management, product design & development, and others. The product design & development segment recorded a significant 16.2% revenue share in the market in 2022. Digital twins enable designers to create virtual prototypes of products, allowing them to test and validate designs before physical prototypes are built.

By Industry Analysis

By industry, the market is divided into automotive & transportation, residential & commercial, healthcare & life sciences, manufacturing, energy & power, agriculture, retail & consumer goods, and others. The manufacturing segment procured a substantial 19% revenue share in the market in 2022. Digital twins are integral to the smart factory concept, where machines, products, and systems are connected and communicate with each other.

By Regional Analysis

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded the highest 36.4% revenue share in the market in 2022. North American industries embrace Industry 4.0 principles, emphasizing using digital technologies to enhance manufacturing and industrial processes.

The Digital Twin market is characterized by intense competition among various companies vying for leadership positions. Major players such as Siemens AG, General Electric (GE), IBM Corporation, and PTC Inc. dominate the landscape. These companies offer comprehensive solutions tailored to industries like manufacturing, energy, and healthcare. Additionally, tech giants like Microsoft and Oracle provide robust platforms for building digital twins in the cloud, while Ansys specializes in simulation software for engineering and manufacturing applications.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Digital Twin Market Report Segmentation

By Type

By Application

By Industry

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Competition Analysis - Global

Chapter 5.Global Digital Twin Market by Type

Chapter 6.Global Digital Twin Market by Application

Chapter 7.Global Digital Twin Market by Industry

Chapter 8.Global Digital Twin Market by Region

Chapter 9.Company Profiles

Chapter 10. Winning Imperatives of Digital Twin Market

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