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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Accelerating Autonomy: South Korea Unmanned Ground Vehicle Market Outlook

Authors: next move strategy consulting;

Accelerating Autonomy: South Korea Unmanned Ground Vehicle Market Outlook

Abstract

The South Korea Unmanned Ground Vehicle (UGV) Market was valued at USD 35.6 million in 2023 and is projected to reach USD 80.0 million by 2030, registering a CAGR of 11.0%. In terms of units, the market is expected to grow from 434 units in 2023 to 1,186 units by 2030, representing a CAGR of 15.4%. UGVs are robotic platforms capable of performing autonomous or remotely controlled operations across hazardous, repetitive, or inaccessible terrains. Market growth is driven by a government-led robotics ecosystem, increasing industrial automation, workforce shortages, and demand for intelligent autonomous solutions. While high costs and fragmented standards present adoption challenges, technological advancements such as AI-enabled autonomy and swarm-capable UGV systems create significant growth opportunities across defense, industrial, and commercial applications in South Korea.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green