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The Dimension of Markets for the Digital Twin

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The Digital Twin

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Abstract

The market for digital twins is promising, as interest in this transformative technology continues to grow. However, research shows that actual use of digital twins is sparse, with adoption rates struggling to surpass 10% in most industries. Arguably the biggest reason for this lack of traction is a similar lack of sufficient digitization across companies and industries. The fact is, organizations’ slow pace in digital transformation means the digital foundation necessary for digital twins to thrive is still lacking in most companies and industries, although front-runners and laggards are beginning to emerge. Simply put, digital maturity must increase substantially for companies to fully benefit from them. When this happens, digital twin adoption should accelerate rapidly, and companies will begin to see how digital twins can play a crucial role in their efforts to create greater operational resilience; optimize supply chain networks, processes, and inventory; and foster bigger strides toward sustainability.

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Notes

  1. 1.

    Implementing technology solutions at the systems level to improve urban energy efficiency, transport, and public services.

  2. 2.

    The analysis is based on a comparison between a business-as-usual (what is likely to happen anyway) and an accelerated scenario where we have increased technology adoption rates from 9 to 30% by 2030, based on geography, building type and age; scope of analysis is global, inclusive of commercial and residential new construction and existing building stock, using current building operative energy intensity averages as a baseline; cumulative output over 10-year period.

  3. 3.

    Data on the environmental impacts associated with all the stages of the lifecycle of a product and/ or the raw materials used to make it, process or service.

  4. 4.

    The analysis is based on quantifying the emissions avoidance contributions from virtualizing conventional passenger vehicle development and testing (within the limits defined by local regulation), and the use of simulated driving for the development of autonomous passenger vehicles, globally and out to 2030. The cost and emissions savings for simulating autonomous driving have been estimated using EVs as a reference point. The business impact is a significant value and about 60% of it is a cost avoidance attributed to physical AV testing.

  5. 5.

    Pharma industry emissions are estimated to be about 52 Mt. CO2e globally for Scope 1 and 2 emissions (i.e. not accounting for indirect value chain emissions, which will increase that figure substantially); taking a WRI estimate of global emissions from 2016 at 46.1Gt, this equates to 0.11% of global CO2e emissions.

  6. 6.

    The analysis is based on the global Pharma industry and a comparison between a business-as-usual (what is likely to happen anyway) and an accelerated scenario (where the use case adoption levels by 2030 could be 20% higher than the BAU adoption). While plants may have partial adoption of process twins for selected unit operations, the estimation has been calculated for virtual twins of complete processes. Cost structures for generics and branded pharmaceuticals are significantly different, and these have been accounted for while estimating the material and production cost savings.

  7. 7.

    Informal recycling of electric and electronic waste has been linked to worker exposure to toxic fumes of various heavy metals through inhalation and contact form skin surface.

  8. 8.

    The analysis is based on an increase in the formal handling of WEEE globally from the current level of 17% to reach 43% by 2030 (latest estimate for formal handling in Europe). A further improvement realized by adopting digital threads is that for the WEEE that is formally handled, the level of refurbishment and reuse can increase significantly by providing better information about the service life and material composition of the product. While e-waste categories such as smartphones have high formal recovery, refurbishment rates and value generation from reuse, we have assumed conservative values that are representative of the overall stock of e-waste.

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Author information

Authors and Affiliations

  1. Accenture, Global Supplychain Strategy Lead, Paris, France

    Max Blanchet

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  1. Max Blanchet
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Editors and Affiliations

  1. Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France

    Noel Crespi

  2. OpenTechWorks Inc., Wayne, PA, USA

    Adam T. Drobot

  3. Telecom SudParis, Institut Polytechnique de Paris, Palaiseau, France

    Roberto Minerva

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Blanchet, M. (2023). The Dimension of Markets for the Digital Twin. In: Crespi, N., Drobot, A.T., Minerva, R. (eds) The Digital Twin. Springer, Cham. https://doi.org/10.1007/978-3-031-21343-4_3

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  • DOI: https://doi.org/10.1007/978-3-031-21343-4_3

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-21343-4

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