Central and Northern Europe: Austria, Finland and the Netherlands
In many European nations, the digital gap is defined by a sharp decline in internet use as individuals enter their late 70s and 80s.
- Austria: A significant gap persists between younger and older cohorts. While 95% of Austrians aged 16 to 74 used the internet in 2023, only 53.8% of those aged 75 to 84 were online. Within this older group, the gap widens further: 64% of 75- to 79-year-olds are online, compared to just 43% of those aged 80 to 84. [3]
- Finland: Research highlights that the gap is not just age-dependent but linked to frailty. While 80% of non-frail Finnish individuals have internet access, this drops to 46% among those considered frail, indicating that health status is a primary driver of the digital divide in this region. [4]
- The Netherlands: Studies here show that technology use is negatively associated with lower social status and physical functioning, though gender differences in ICT use were not significantly observed in Dutch samples. [4]
Japan: Leading with Followers
Japan is a unique case due to its position as a world leader in demographic ageing, which has turned the country into a global laboratory for technology adoption.
- Necessity as a Driver: Unlike other nations where technology may be viewed as a luxury, Japan’s acute labour shortages in agriculture and caregiving have forced a higher acceptance of automation. For example, the average age of a Japanese farmer is 68.4 years, leading to the widespread deployment of ICT-enabled heavy machinery to augment the skills of an ageing workforce. [1]
- Psychological Drivers: A comparative study between Japan and the UK regarding online public services found that self-efficacy and ageing satisfaction were more prominent determinants of technology readiness and usage in the Japanese elderly population. [1]
What is ICT-enabled heavy machinery?
At its core, heavy tech machinery refers to large, powerful equipment integrated with modern technologies like GPS, telematics, IoT (Internet of Things) sensors and advanced software. Unlike their purely mechanical predecessors, these machines can communicate, self-diagnose and perform tasks with a high level of accuracy. [2]
The United States: Sociodemographic and Racial Patterns
In the United States, the digital age gap is heavily influenced by a combination of sociodemographic factors and physical health.
- Patterns of Use: US data indicates that technology use among older adults is strongly correlated with younger age, male gender, white race, higher education and being married. [4]
- Health as a Barrier: Also physical fitness is a major hurdle; more than 75% of the American population aged 65+ reports difficulties in physical functioning, which correlates with decreased technology use. Furthermore, approximately 21% of US seniors have visual impairments that complicate digital screen interaction. [4]
Developing Countries: China and Bangladesh
In developing regions, the gap is often influenced by cultural norms and the speed of infrastructure development.
- China: This region has seen a surge in research, particularly regarding smartphone acceptance. However, findings suggest that Chinese seniors under 65 are more likely to adopt these technologies, while older cohorts remain more resistant. [5]
- Bangladesh: A distinct cultural gap exists here; older adults traditionally use mobile phones only for typical voice calls. The concept of receiving health care advice via a phone is a relatively new and daunting concept, leading to higher levels of technology anxiety compared to developed nations. [5]
Sources
[1] K. Kushida, “Japan’s Aging Society as a Technological Opportunity,” 2024. Accessed: Dec. 23, 2025. [Online]. Available: https://carnegie-production-assets.s3.amazonaws.com/static/files/ Kushida_Demographics%20and%20Tech%20Trajectories_final.pdf#page=23.21
[2] “What Exactly is Heavy Tech Machinery?,” Heavytechservices.ca, 2025. https://www.heavytechservices.ca/what-exactly-is-heavy-tech-machinery (accessed Jan. 05, 2026).
[3] N. Djahangiri, V. Kropfreiter, and J. Peterbauer, Internetnutzung von älteren Menschen in Österreich: Ergebnisse der Erhebung zum Einsatz von Informations- und Kommunikationstechnologien in Haushalten 2023. Wien, Austria: Statistik Austria, 2023.
[4] N. Halmdienst, M. Radhuber, and R. Winter-Ebmer, “Attitudes of elderly Austrians towards new technologies: communication and entertainment versus health and support use,” European Journal of Ageing, vol. 16, no. 4, pp. 513–523, Apr. 2019, doi: https://doi.org/10.1007/s10433-019-00508-y.
[5] Y.-Y. Yap, S.-H. Tan, and S.-W. Choon, “Elderly’s intention to use technologies: A systematic literature review,” Heliyon, vol. 8, no. 1, p. e08765, Jan. 2022, doi: https://doi.org/10.1016/j.heliyon.2022.e08765.