Digital Deer Studio

Profile updated Aug 2026

Digital Deer Studio is the developer behind Oil Empire, with 1 title on Steam and 31 total reviews. The catalog on indielist lists Oil Empire as its best-known release, placing Digital Deer Studio games among Casual developers.

Digital Deer Studio is an indie game studio. indielist tracks 1 title by Digital Deer Studio, together holding 0 Steam reviews. Its most-reviewed game is Oil Empire (2026). Across its catalog the studio has worked with 1 publisher, including CreativeForge Games S.A.. indielist tracks releases from Digital Deer Studio starting in 2026. This profile sits inside indielist's relationship graph of studios, publishers, and games, so players can find more titles from the same team, developers can compare portfolios and team sizes against peers, and investors can trace which publishers and genres the studio works across. Where Steam review data is available, indielist also publishes a transparent, white-box sales estimate for each of the studio's games, showing the full Boxleiter factor breakdown rather than a single black-box number, so the commercial picture behind Digital Deer Studio can be audited rather than taken on trust.

On the business side, Digital Deer Studio has shipped with 1 publisher (CreativeForge Games S.A.), and indielist maps each of those relationships as an edge in its studio-to-publisher-to-game graph. That matters to two audiences in particular: an investor can trace which labels have backed this studio and how that roster has changed over time, while a developer can see which publishers are already comfortable signing work in the studio's genres before deciding where to send a pitch. This is the kind of sourcing intelligence that is slow and tedious to reconstruct from Steam store pages alone, because the storefront never exposes who introduced whom. Each linked publisher page in turn lists its full roster, deal tier, and current submission status, so the network around Digital Deer Studio can be walked outward in either direction rather than read as a flat, disconnected list.