The use of digital twins — virtual representations of actual or envisioned real-world objects — is growing. Their uses are multifold and can be incredibly helpful, providing real-time models of physical assets or even people or biological systems that can help identify problems as or even before they occur.
Grand View Research has predicted that the global digital twin market, valued at $11.1 billion in 2022, will grow at a 37.5% compound annual growth rate from 2023 to 2030 to eventually hit $155.83 billion.
But as companies expand their use of digital twins and others create new ones, experts say organizations are also increasing their cybersecurity exposure. Because digital twins rely on data to create an accurate representation of whatever they model, they are vulnerable. What if that data is corrupted or — far worse — stolen and used for evil rather than their intended purpose?