시장보고서
상품코드
1521913

빌딩 트윈 시장 : 제공 제품별, 용도별, 최종 사용자별, 지역별-예측(-2029년)

Building Twin Market by Offering (Software Solutions, Services), Application (Facility Management, Predictive Maintenance, Safety & Security Management, Energy Management), End User (Commercial, Industrial) and Region - Global Forecast to 2029

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 232 Pages | 배송안내 : 즉시배송

    
    
    




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

빌딩 트윈 시장 규모는 2024년 21억 달러로 추정되고, 2029년 133억 달러로 성장할 것으로 예측되며, 예측 기간 중 CAGR은 44.7%가 될 것으로 전망됩니다.

빌딩 트윈 시장의 성장은 주로 비용 절감과 환경 부하 저감에 대한 관심 증가에 의해 초래되며, 빌딩 트윈 시장을 견인하고 있는 것은 예지보전에 대한 관심 증가입니다.

조사 범위
조사 대상년도 2020-2029년
기준년 2023년
예측 기간 2024-2029년
검토 단위 금액(10억 달러)
부문별 제공 제품별, 용도별, 최종 사용자별, 지역별
대상 지역 북미, 유럽, 아시아태평양 및 기타 지역

상업용 최종 사용자 분야의 빌딩 트윈 시장은 예측 기간 동안 최고의 CAGR을 나타낼 전망입니다. 이 성장의 원동력은 효과적인 건물 관리, 비용 효율성, 상업시설에 특화된 지속가능성 실천에 대한 수요가 증가하고 있습니다. 디지털 트윈 기술은 실시간 모니터링, 예측 보전, 최적화된 공간 활용 등 상업 환경에서 특히 가치 있는 이점을 제공합니다. 또한 기업은 테넌트 환경을 개선하고 규제 기준을 준수하는 데 점점 더 중점을 두고 있으며 디지털 트윈 채택을 더욱 촉진하고 있습니다. IoT와 AI 기술을 통합함으로써 상업 기업은 고급 분석 및 자동화를 활용하여 업무 효율성과 의사 결정 프로세스를 강화할 수 있습니다. 이러한 요인들이 결합되어 상업 부문에서 빌딩 트윈 시장의 급속한 확대로 이어지고 있습니다.

시설 관리는 예측 기간 동안 빌딩 트윈 시장의 최대 규모를 차지할 것으로 예측됩니다. 그 성장의 원동력은 실시간 모니터링, 빌딩 시스템의 효과적인 관리를 통해 빌딩 성능을 향상시키는 중요한 역할에 있습니다. 고급 분석 및 IoT 기술은 효율성을 더욱 높여주고, 다운타임을 줄이고, 빌딩 자산의 수명을 연장합니다. 또한 복잡한 건물 시스템과 지속가능성에 대한 관심도 이러한 솔루션의 채택을 촉진하고 거주자의 편안함과 안전성을 높이면서 규제 준수를 보장합니다. 기업이 비용 효율성과 운영의 우수성을 우선시하는 가운데, 설비 관리 용도 수요는 증가의 길을 따라가고 있으며, 최신의 빌딩 관리 방법에 있어서의 중요성이 부각되고 있습니다.

본 보고서에서는 세계의 빌딩 트윈 시장에 대해 조사했으며,, 제공 제품별, 용도별, 최종 사용자별, 지역별 동향 및 시장 진출기업 프로파일 등을 정리했습니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 중요 인사이트

제5장 시장 개요

  • 서문
  • 시장 역학
  • 고객의 비즈니스에 영향을 미치는 동향 및 혼란
  • 가격 분석
  • 밸류체인 분석
  • 생태계 분석
  • 투자 및 자금조달 시나리오
  • 기술 분석
  • 특허 분석
  • 무역 분석
  • 주된 회의 및 이벤트(2023-2024년)
  • 사례 연구 분석
  • 규제 상황
  • Porter's Five Forces 분석
  • 주요 이해관계자 및 구매 기준

제6장 빌딩 트윈 유형

제7장 빌딩 트윈 시장 : 제공 제품별

  • 서문
  • 소프트웨어 솔루션
  • 서비스

제8장 빌딩 트윈 시장 : 용도별

  • 서문
  • 용도별
  • 설계 및 시공(정성적)

제9장 빌딩 트윈 시장 : 최종 사용자별

  • 서문
  • 상업
  • 공업

제10장 빌딩 트윈 시장 : 지역별

  • 서문
  • 북미
  • 유럽
  • 아시아태평양
  • 기타 지역

제11장 경쟁 구도

  • 개요
  • 주요 참가 기업의 전략 및 비책(2022-2024년)
  • 수익 분석(2019-2023년)
  • 시장 점유율 분석(2023년)
  • 기업가치평가 및 재무지표
  • 브랜드 및 제품 비교
  • 기업평가 매트릭스 : 주요 진입기업(2023년)
  • 기업평가 매트릭스 : 스타트업 및 중소기업(2023년)
  • 경쟁 시나리오 및 동향

제12장 기업 프로파일

  • 주요 진출기업
    • SIEMENS
    • MICROSOFT
    • ROBERT BOSCH GMBH
    • DASSAULT SYSTEMES
    • AMAZON WEB SERVICES, INC.(AWS)
    • AUTODESK INC.
    • IBM
    • ORACLE
    • ANSYS, INC.
    • SAP
    • BENTLEY SYSTEMS, INCORPORATED
  • 기타 기업
    • MATTERPORT INC.
    • TRIMBLE INC.
    • ABB
    • JOHNSON CONTROLS
    • SCHNEIDER ELECTRIC
    • ESRI
    • NAVVIS
    • NOVACENE IOT LTD.
    • APRIORI
    • SOFTWARE AG
    • INTEGRATED ENVIRONMENTAL SOLUTIONS LIMITED
    • TWINSITY GMBH
    • TWINZO
    • CITYZENITH

제13장 인접 시장 및 관련 시장

제14장 부록

AJY 24.08.05

The building twin market is expected to grow from USD 2.1 billion in 2024 to USD 13.3 billion by 2029, at a CAGR of 44.7% during the forecast period. The growth of the building twin market is driven mainly by the growing focus on cost reduction and reducing environmental impact; and growing focus on predictive maintenenace are driving the market for building twin.

Scope of the Report
Years Considered for the Study2020-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredValue (USD Billion)
SegmentsBy Offering, Application, End User and Region
Regions coveredNorth America, Europe, APAC, RoW

"The building twin market for the commercial end user segment is expected to grow at the highest CAGR during the forecast period"

The building twin market for the commercial end user segment is expected to grow at the highest CAGR during the forecast period. This growth is driven by a rising demand for effective building management, cost efficiency, and sustainability practices specifically tailored for commercial properties. Digital twin technology offers significant advantages such as real-time monitoring, predictive maintenance, and optimized space utilization, which are particularly valuable in commercial environments. Furthermore, businesses increasingly emphasize improving tenant experiences and meeting regulatory standards, which further promotes the adoption of digital twins. By integrating IoT and AI technologies, commercial enterprises can leverage advanced analytics and automation to enhance operational efficiency and decision-making processes. These factors collectively contribute to the rapid expansion of the building twin market within the commercial sector.

"Facility Management application segment is expected to dominate the building twin market throughout the forecast period"

The Facility Management application is expected to account for the largest size of the building twin market throughout the forecast period. The growth is driven by its critical role in improving building performance through real-time monitoring, and effective management of building systems. Advanced analytics and IoT technologies further boost efficiency, reduce downtime and prolong the lifespan of building assets. In addition, increasingly complex building systems and a focus on sustainability are also driving the adoption of these solutions, ensuring compliance with regulations while enhancing comfort and safety for occupants. As organizations prioritize cost-efficiency and operational excellence, the demand for facility management applications continues to increase, underscoring their importance in modern building management practices.

"Building twin market in North America region to register highest CAGR between 2024 and 2029"

The building twin market in North America is expected to grow at the highest CAGR during the forecast period. The growth is driven by several factors, such as the region's adoption of advanced technologies such as IoT, AI, and cloud computing, which are crucial for effective building twin solutions and supported by a robust infrastructure. Regulatory priorities on sustainability and energy efficiency further incentivize the adoption of building twin technologies, enhancing operational efficiency and environmental sustainability in smart buildings. North America's innovation ecosystem, bolstered by major technology companies, continually advances, building twin capabilities like real-time monitoring and predictive maintenance. This diverse industry landscape, encompassing commercial and industrial, offers ample opportunities for tailored building twin solutions, reinforcing North America's global leadership in shaping the future of building management practices.

Breakdown of primaries

In determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with key industry experts in the building twin market space. The break-up of primary participants for the report has been shown below:

  • By Company Type: Tier 1 - 35%, Tier 2 - 40%, and Tier 3 - 25%
  • By Designation: C-level Executives - 30%, Managers - 35%, and Others - 35%
  • By Region: North America -40%, Europe- 30%, Asia Pacific - 20%, and Rest of the World - 10%

Key players in the building twin market are Microsoft (US), Siemens (Germany), Amazon (US), Dassault Systemes (France), Robert Bosch GmbH (Germany), ANSYS, Inc (US), IBM (US), Autodesk Inc. (US), SAP (Germany), Oracle (US), and Bentley Systems, Incorporated (US) and others.

The building twin market has been segmented into offering, application, end user, and region. The building twin market has been studied in North America, Europe, Asia Pacific, and the Rest of the World.

Reasons to buy the report:

The report will help the market leaders/new entrants with information on the closest approximate revenues for the building twin and related segments. This report will help stakeholders understand the competitive landscape and gain more insights to strengthen their position in the market and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, opportunities, and challenges.

The report provides insights on the following pointers:

  • Analysis of key drivers (growing focus on cost reduction and reducing environmental impact, enhancing real-time data visualization and streamlining the design process, growing focus on predictive maintenance, and government initiatives for digitization), restraints (high initial investment to implement building twin technology, susceptibility of building twin technology to cyberattacks), opportunities (advancements in AL & ML powered predictions, growing preference towards smart cities), and challenges (complexities associated with integrating a large amount of data and early stage technology and limited awareness).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the building twin market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the building twin market across varied regions.
  • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the building l twin market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and product offerings of leading players like Microsoft (US), Siemens (Germany), Amazon (US), Dassault Systemes (France), Robert Bosch GmbH (Germany), ANSYS, Inc (US), IBM (US), Autodesk Inc. (US), SAP (Germany), Oracle (US), and Bentley Systems, Incorporated (US), among others.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 LIMITATIONS
  • 1.6 STAKEHOLDERS
  • 1.7 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 List of key secondary sources
      • 2.1.2.2 Key data from secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 Intended participants and key opinion leaders in primary interviews
      • 2.1.3.2 Key data from primary sources
      • 2.1.3.3 Key industry insights
      • 2.1.3.4 Breakdown of primaries
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to estimate market size using bottom-up analysis (demand side)
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to estimate market size using top-down analysis (supply side)
  • 2.3 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON BUILDING TWIN MARKET
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN BUILDING TWIN MARKET
  • 4.2 BUILDING TWIN MARKET, BY OFFERING
  • 4.3 BUILDING TWIN MARKET, BY APPLICATION
  • 4.4 BUILDING TWIN MARKET, BY END USER
  • 4.5 BUILDING TWIN MARKET, BY COUNTRY

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Pressing need to mitigate environmental impact
      • 5.2.1.2 Rising adoption of improved real-time data visualization tools in building operations
      • 5.2.1.3 Rising focus on predictive maintenance to ensure safety and reliability of building operations
      • 5.2.1.4 Government-led initiatives to boost digital infrastructure
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 High cost of establishing building twins
      • 5.2.2.2 Susceptibility to cyberattacks
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Integration of building twin technology with advanced sensors and IoT technologies
      • 5.2.3.2 Emergence of AI- and ML-powered building twins
      • 5.2.3.3 Growing initiatives to develop smart cities
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Complexities associated with integrating large amount of data
      • 5.2.4.2 Lack of standardization in building twin technology
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.4 PRICING ANALYSIS
    • 5.4.1 AVERAGE SELLING PRICE TREND OF BUILDING TWIN SOLUTIONS, BY KEY PLAYER
  • 5.5 VALUE CHAIN ANALYSIS
  • 5.6 ECOSYSTEM ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 TECHNOLOGY ANALYSIS
    • 5.8.1 KEY TECHNOLOGIES
      • 5.8.1.1 IoT and IIoT
      • 5.8.1.2 Building information modeling
      • 5.8.1.3 3D modeling
    • 5.8.2 COMPLIMENTARY TECHNOLOGIES
      • 5.8.2.1 AI and ML
      • 5.8.2.2 AR, VR, and MR
      • 5.8.2.3 Cloud computing and edge computing
    • 5.8.3 ADJACENT TECHNOLOGIES
      • 5.8.3.1 Blockchain
      • 5.8.3.2 5G
  • 5.9 PATENT ANALYSIS
  • 5.10 TRADE ANALYSIS
    • 5.10.1 IMPORT DATA (HS CODE 851769)
    • 5.10.2 EXPORT DATA (HS CODE 851769)
  • 5.11 KEY CONFERENCES AND EVENTS, 2023-2024
  • 5.12 CASE STUDY ANALYSIS
    • 5.12.1 TEMPLE UNIVERSITY DEVELOPED DIGITAL TWIN ECOSYSTEM WITH AZURE IOT TO OPTIMIZE OPERATIONS
    • 5.12.2 AWS PROVIDED JOHN HOLLAND WITH AWS IOT TWINMAKER TO ENHANCE ASSET DEVELOPMENT AND MANAGEMENT
    • 5.12.3 UNITY HELPED ORLANDO WITH 3D DIGITAL TWIN FOR URBAN PLANNING THROUGH REAL-TIME VISUALIZATION AND SCENARIO TESTING
    • 5.12.4 SINGAPORE LAND AUTHORITY IMPLEMENTED DIGITAL TWIN FOR EFFECTIVE URBAN PLANNING AND TRANSPORTATION MANAGEMENT
  • 5.13 REGULATORY LANDSCAPE
    • 5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.13.2 STANDARDS
  • 5.14 PORTER'S FIVE FORCES ANALYSIS
    • 5.14.1 THREAT OF NEW ENTRANTS
    • 5.14.2 THREAT OF SUBSTITUTES
    • 5.14.3 BARGAINING POWER OF BUYERS
    • 5.14.4 BARGAINING POWER OF SUPPLIERS
    • 5.14.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.15.2 BUYING CRITERIA

6 TYPES OF BUILDING TWINS

  • 6.1 INTRODUCTION
  • 6.2 DESCRIPTIVE TWINS
  • 6.3 INFORMATIVE TWINS
  • 6.4 PREDICTIVE TWINS
  • 6.5 COMPREHENSIVE TWINS
  • 6.6 AUTONOMOUS TWINS

7 BUILDING TWIN MARKET, BY OFFERING

  • 7.1 INTRODUCTION
  • 7.2 SOFTWARE SOLUTIONS
    • 7.2.1 INTEGRATION OF REAL-TIME SENSOR DATA AND STATIC INFORMATION TO OFFER LUCRATIVE GROWTH OPPORTUNITIES
    • 7.2.2 PLATFORM AS A SERVICE (PAAS)
    • 7.2.3 SOFTWARE AS A SERVICE (SAAS)
  • 7.3 SERVICES
    • 7.3.1 INCREASING COMPLEXITIES OF MODERN BUILDING PROJECTS TO BOOST DEMAND

8 BUILDING TWIN MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 BY APPLICATION
    • 8.2.1 FACILITY MANAGEMENT
      • 8.2.1.1 Rising trend of smart buildings to boost adoption
    • 8.2.2 PREDICTIVE MAINTENANCE
      • 8.2.2.1 Ability to monitor equipment performance and detect failures to accelerate demand
    • 8.2.3 ENERGY MANAGEMENT
      • 8.2.3.1 Integration of renewable energy sources to offer lucrative growth opportunities
    • 8.2.4 SAFETY & SECURITY MANAGEMENT
      • 8.2.4.1 Increasing need to monitor security breaches to spur demand
    • 8.2.5 OTHERS
  • 8.3 DESIGN & CONSTRUCTION (QUALITATIVE)

9 BUILDING TWIN MARKET, BY END USER

  • 9.1 INTRODUCTION
  • 9.2 COMMERCIAL
    • 9.2.1 OFFICE BUILDINGS
      • 9.2.1.1 Increasing demand for virtual tours and interactive maps to drive market
    • 9.2.2 RETAIL SPACE
      • 9.2.2.1 Rising demand for innovative and data-driven solutions for operational efficiency to accelerate demand
    • 9.2.3 HOSPITALITY INDUSTRY
      • 9.2.3.1 Growing emphasis on providing personalized guest experiences to spur demand
    • 9.2.4 HOSPITALS
      • 9.2.4.1 Ability to simulate disaster scenarios for planning effective responses to foster segmental growth
    • 9.2.5 EDUCATIONAL INSTITUTIONS
      • 9.2.5.1 Increasing demand for optimizing classroom layouts to boost adoption
    • 9.2.6 AIRPORT & TRANSPORTATION HUBS
      • 9.2.6.1 Rising need to streamline airport operations to enhance passenger experiences to drive market
  • 9.3 INDUSTRIAL
    • 9.3.1 GROWING NEED TO BOOST PRODUCTIVITY AND LOWER OPERATIONAL COSTS TO DRIVE MARKET

10 BUILDING TWIN MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 IMPACT OF RECESSION ON BUILDING TWIN MARKET IN NORTH AMERICA
    • 10.2.2 US
      • 10.2.2.1 Growing adoption of digital technology in infrastructure sector to drive market
    • 10.2.3 CANADA
      • 10.2.3.1 Increasing adoption of green building practices to spur demand
    • 10.2.4 MEXICO
      • 10.2.4.1 Government-led initiatives promoting digitalized infrastructure to create lucrative growth opportunities
  • 10.3 EUROPE
    • 10.3.1 IMPACT OF RECESSION ON BUILDING TWIN MARKET IN EUROPE
    • 10.3.2 GERMANY
      • 10.3.2.1 Increasing focus on crafting 3D model of nation to foster market growth
    • 10.3.3 FRANCE
      • 10.3.3.1 Rising emphasis on modernizing industrial sector to drive market
    • 10.3.4 UK
      • 10.3.4.1 Growing emphasis on establishing 5G network to offer lucrative growth opportunities
    • 10.3.5 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 IMPACT OF RECESSION ON BUILDING TWIN MARKET IN ASIA PACIFIC
    • 10.4.2 CHINA
      • 10.4.2.1 Increasing development of digital twin cities to boost demand
    • 10.4.3 JAPAN
      • 10.4.3.1 Implementation of digital twin technology to enhance urban planning, disaster management, and customer engagement to drive market
    • 10.4.4 INDIA
      • 10.4.4.1 Growing application of AI and 5G in infrastructure planning and designing to spur demand
    • 10.4.5 SOUTH KOREA
      • 10.4.5.1 Rising focus on promoting R&D initiatives for IoT to drive market
    • 10.4.6 REST OF ASIA PACIFIC
  • 10.5 ROW
    • 10.5.1 IMPACT OF RECESSION ON BUILDING TWIN MARKET IN ROW
    • 10.5.2 SOUTH AMERICA
      • 10.5.2.1 Ongoing development of infrastructure and communication networks to foster market growth
    • 10.5.3 MIDDLE EAST
      • 10.5.3.1 Growing partnerships among industry vendors and consultants to spur demand
      • 10.5.3.2 GCC
      • 10.5.3.3 Rest of Middle East
    • 10.5.4 AFRICA
      • 10.5.4.1 Increasing demand for smart connectivity to boost adoption

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2024
  • 11.3 REVENUE ANALYSIS, 2019-2023
  • 11.4 MARKET SHARE ANALYSIS, 2023
  • 11.5 COMPANY VALUATION AND FINANCIAL METRICS
  • 11.6 BRAND/PRODUCT COMPARISON
  • 11.7 COMPANY EVALUATION MATRIX, 2023
    • 11.7.1 STARS
    • 11.7.2 EMERGING LEADERS
    • 11.7.3 PERVASIVE PLAYERS
    • 11.7.4 PARTICIPANTS
    • 11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 11.7.5.1 Company footprint
      • 11.7.5.2 Offering footprint
      • 11.7.5.3 End user footprint
      • 11.7.5.4 Application footprint
      • 11.7.5.5 Region footprint
  • 11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 11.8.1 PROGRESSIVE COMPANIES
    • 11.8.2 RESPONSIVE COMPANIES
    • 11.8.3 DYNAMIC COMPANIES
    • 11.8.4 STARTING BLOCKS
    • 11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.8.5.1 Detailed list of key startups/SMEs
      • 11.8.5.2 Competitive benchmarking of key startups/SMEs
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    • 11.9.1 PRODUCT LAUNCHES
    • 11.9.2 DEALS
    • 11.9.3 OTHERS

12 COMPANY PROFILES

  • 12.1 KEY PLAYERS
    • 12.1.1 SIEMENS
      • 12.1.1.1 Business overview
      • 12.1.1.2 Products/Solutions/Services offered
      • 12.1.1.3 Recent developments
        • 12.1.1.3.1 Product launches/Developments
        • 12.1.1.3.2 Deals
      • 12.1.1.4 MnM view
        • 12.1.1.4.1 Key strengths/Right to win
        • 12.1.1.4.2 Strategic choices
        • 12.1.1.4.3 Weaknesses/Competitive threats
    • 12.1.2 MICROSOFT
      • 12.1.2.1 Business overview
      • 12.1.2.2 Products/Solutions/Services offered
      • 12.1.2.3 Recent developments
        • 12.1.2.3.1 Deals
      • 12.1.2.4 MnM view
        • 12.1.2.4.1 Key strengths/Right to win
        • 12.1.2.4.2 Strategic choices
        • 12.1.2.4.3 Weaknesses/Competitive threats
    • 12.1.3 ROBERT BOSCH GMBH
      • 12.1.3.1 Business overview
      • 12.1.3.2 Products/Solutions/Services offered
      • 12.1.3.3 Recent developments
        • 12.1.3.3.1 Product launches/Developments
        • 12.1.3.3.2 Deals
      • 12.1.3.4 MnM view
        • 12.1.3.4.1 Key strengths/Right to win
        • 12.1.3.4.2 Strategic choices
        • 12.1.3.4.3 Weaknesses/Competitive threats
    • 12.1.4 DASSAULT SYSTEMES
      • 12.1.4.1 Business overview
      • 12.1.4.2 Products/Solutions/Services offered
      • 12.1.4.3 Recent developments
        • 12.1.4.3.1 Product launches/Developments
        • 12.1.4.3.2 Deals
      • 12.1.4.4 MnM view
        • 12.1.4.4.1 Key strengths/Right to win
        • 12.1.4.4.2 Strategic choices
        • 12.1.4.4.3 Weaknesses/Competitive threats
    • 12.1.5 AMAZON WEB SERVICES, INC. (AWS)
      • 12.1.5.1 Business overview
      • 12.1.5.2 Products/Solutions/Services offered
      • 12.1.5.3 Recent developments
        • 12.1.5.3.1 Product launches/Developments
        • 12.1.5.3.2 Deals
      • 12.1.5.4 MnM view
        • 12.1.5.4.1 Key strengths/Right to win
        • 12.1.5.4.2 Strategic choices
        • 12.1.5.4.3 Weaknesses/Competitive threats
    • 12.1.6 AUTODESK INC.
      • 12.1.6.1 Business overview
      • 12.1.6.2 Products/Solutions/Services offered
      • 12.1.6.3 Recent developments
        • 12.1.6.3.1 Product launches/Developments
        • 12.1.6.3.2 Deals
    • 12.1.7 IBM
      • 12.1.7.1 Business overview
      • 12.1.7.2 Products/Solutions/Services offered
      • 12.1.7.3 Recent developments
        • 12.1.7.3.1 Deals
    • 12.1.8 ORACLE
      • 12.1.8.1 Business overview
      • 12.1.8.2 Products/Solutions/Services offered
      • 12.1.8.3 Recent developments
        • 12.1.8.3.1 Product launches/Developments
        • 12.1.8.3.2 Deals
        • 12.1.8.3.3 Others
    • 12.1.9 ANSYS, INC.
      • 12.1.9.1 Business overview
      • 12.1.9.2 Products/Solutions/Services offered
      • 12.1.9.3 Recent developments
        • 12.1.9.3.1 Product launches/Developments
        • 12.1.9.3.2 Deals
    • 12.1.10 SAP
      • 12.1.10.1 Business overview
      • 12.1.10.2 Products/Solutions/Services offered
      • 12.1.10.3 Recent developments
        • 12.1.10.3.1 Deals
    • 12.1.11 BENTLEY SYSTEMS, INCORPORATED
      • 12.1.11.1 Business overview
      • 12.1.11.2 Products/Solutions/Services offered
      • 12.1.11.3 Recent developments
        • 12.1.11.3.1 Deals
  • 12.2 OTHER KEY PLAYERS
    • 12.2.1 MATTERPORT INC.
    • 12.2.2 TRIMBLE INC.
    • 12.2.3 ABB
    • 12.2.4 JOHNSON CONTROLS
    • 12.2.5 SCHNEIDER ELECTRIC
    • 12.2.6 ESRI
    • 12.2.7 NAVVIS
    • 12.2.8 NOVACENE IOT LTD.
    • 12.2.9 APRIORI
    • 12.2.10 SOFTWARE AG
    • 12.2.11 INTEGRATED ENVIRONMENTAL SOLUTIONS LIMITED
    • 12.2.12 TWINSITY GMBH
    • 12.2.13 TWINZO
    • 12.2.14 CITYZENITH

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 DIGITAL TWIN MARKET, BY ENTERPRISE
  • 13.3 LARGE ENTERPRISES
    • 13.3.1 GROWING DEPLOYMENT OF BLOCKCHAIN TECHNOLOGY IN HEALTHCARE SECTOR TO DRIVE DEMAND
  • 13.4 SMALL & MEDIUM ENTERPRISES (SMES)
    • 13.4.1 INCREASING DEMAND FOR SUBSCRIPTION-BASED DIGITAL TWIN SERVICES TO BOOST SEGMENTAL GROWTH

14 APPENDIX

  • 14.1 INSIGHTS FROM INDUSTRY EXPERTS
  • 14.2 DISCUSSION GUIDE
  • 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.4 CUSTOMIZATION OPTIONS
  • 14.5 RELATED REPORTS
  • 14.6 AUTHOR DETAILS
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