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Physical Meets Digital - How Digital Twins Help Future-proof Sectors

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  • 37 Pages
  • August 2022
  • Region: Global
  • GlobalData
  • ID: 5659895
Digital twins are increasingly gaining traction across a broad spectrum of business applications given they can seamlessly connect data across physical and digital realms. They are virtual representations intended to accurately represent physical items such as assets, systems, and processes. They employ technologies such as artificial intelligence (AI), real-time analytics, visualization, and simulation tools to identify, prevent, forecast, and optimize the physical environment. The report examines how various companies are developing and adopting digital twins across major sectors to increase efficiency, mitigate risk, and enhance customer experience, among others.

Innovations: presents real-world innovation use cases and examples related to the implementation of digital twins by companies as well as startups across multiple sectors. It casts light on how tech-enabled innovations are transforming every segment of cross sector use case applications.


  • Innovation Insights: innovation examples by each use cases segment of various sectors to present key trends.
  • Vendor Map: represents a sample list of vendors in each use case highlighted in the report.

Reasons to Buy

  • No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies' has all of the sudden become the key catalyst to drive the next wave of innovation across sectors.
  • The sense of urgency weighs different across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
  • Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
  • The innovation landscape report on digital twins published by the publisher covers some of the key trends, use cases, and real-world examples related to the implementation of emerging technologies across several cross-sector applications.

Table of Contents

1. What are digital twins and what are their advantages?

2. Classification of digital twins

3. What is the sector impact of digital twins?

4. Key applications by sector
4.1. Aerospace & Defense
4.2. Agriculture & Forestry
4.3. Automotive
4.4. Construction & Real Estate
4.5. Consumer
4.6. Healthcare
4.7. Industrial Goods & Machinery
4.8. Oil & Gas
4.9 Oil & Gas
4.10 Retail
4.11 Telecom
4.12 Transportation, Infrastructure & Logistics
4.13 Others

5. Major vendors by sectors

6. What are the implementation challenges of digital twins?

7. Methodology

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Aforza
  • AgentRelay
  • Agronomeye
  • AkerBP
  • Alder Hey
  • Amaury Sport Organisation
  • Amazon Web Services
  • Arvizio
  • ASO
  • Assai
  • Atos
  • Autodesk
  • Aveva
  • AWS
  • Bentley Systems
  • Blackshark
  • BMW
  • BP
  • China Mobile
  • Cupix
  • DeLorean
  • Diageo
  • DOW
  • EMA
  • Energy Market Authority
  • Eugenie
  • GlaxoSmithKline
  • Google
  • GSK
  • H&M
  • Halliburton
  • Hitachi Energy
  • Indian Oil Corporation Limited
  • IOCL
  • KLM
  • Kraft Heinz
  • Kroger
  • Lumea
  • Mackevision
  • Manufacturing x Digital
  • Matterport
  • Maxar
  • Microsoft
  • MxD
  • NavVis
  • Nemo’s Garden
  • Nexar
  • NEXR
  • NFT IQ
  • Nippon Telegraph and Telephone Corporation
  • Nokia
  • NTT
  • Nvidia
  • Porsche
  • Regen
  • Schneider Electric
  • Sharper Shape
  • Siemens
  • SiteAware
  • SiteSee
  • Slingshot Aerospace
  • SP Group
  • Spinview
  • Streamwise
  • Synkrato
  • TfL
  • Tour de France
  • Transport for London
  • Twin Health
  • Unlearn
  • US Air Force Research Laboratory
  • Verge
  • vHive
  • Vizzio
  • Waabi