
VEIN
Ramjet Studios · 2025-10-24
ActionRPGSimulationEarly Access
Modes: Single player, Multiplayer, Co-operative · Perspectives: First person, Third person
Releases: Oct 24, 2025 (Linux), Oct 24, 2025 (PC (Microsoft Windows))
VEIN is a post-apocalyptic survival multiplayer sandbox game. Gather supplies to survive, explore abandoned buildings, defend your home, and rebuild society, whether alone or with friends.
VEIN is a 2025 Action, RPG, Simulation, and Early Access game priced at $19.99, with a Very Positive review sentiment (88% of 12,013 reviews).
Trailer

VEIN - TRAILER 1
≈778,497 YouTube results for this game's trailer search
Health check
- · 1,093 reviews in the last 8 weeks (~137/week).
- · Review velocity up 40% vs the prior 8 weeks.
- · Top 4% of 27,661 Action games in the census by review count.
Review-multiple estimate from 12,754 total reviews — how this is computed.
All-time low: $13.39 at Steam (2026-08-31)via IsThereAnyDeal
12-month high $19.99 · on sale 3 of 9 observed days (census price snapshots)
Review momentum
Price history
Details
7 supported languages: English, German, Japanese, Russian, French, Simplified Chinese, Spanish - Latin America
Post-launch support: 1 DLC released, first 2025-10-24 (Steam store data)
Where its players are
- English76% · 8.8k reviews
- Russian7% · 754 reviews
- German4% · 512 reviews
- Chinese (Simplified)3% · 364 reviews
- French3% · 329 reviews
Share of Steam reviews by language (top languages measured) — a proxy for where the player base lives.
Census log
- 2025-10-24First review activity on record (week of 2025-10-24).
- 2025-10-24Biggest review week on record: 1,474 reviews (week of 2025-10-24).
Computed from census-recorded observations only — dates are observation dates.
Recent updates
- 2026-10-04VEIN 0.025 Hotfix 2
- 2026-10-01VEIN News: Above the Treeline
- 2026-09-28VEIN 0.025 Hotfix 1
Players also track
Star Control®: OriginsMiscreatedSavage LandsSurvivalistDead AgeDying Light 2 Stay Human: Reloaded EditionForce of NatureCHANGE: A Homeless Survival Experience
Similarity via IGDB.