The legendary Clay Jam returns to mobile after more than a decade of absence.
After many years of absence, the once-popular mobile game Clay Jam is officially returning with a new version called Clay Jam Classic, scheduled for release on March 27th. This return marks an effort to revive one of the games that made a strong impact in the early days of the mobile gaming market.
Clay Jam Classic continues to retain the signature gameplay that made it famous. The game combines the endless runner genre with an 'eat 'em up' style, where players control a small rock rolling down a hill, crushing monsters along the way to grow stronger.
The ultimate goal in each level is to confront the giant Bully Beast boss waiting at the end of the journey. The more enemies you defeat, the more your character grows in size and strength, creating a gameplay loop that is both simple and engaging.
The most striking feature of Clay Jam Classic is its claymation graphic style – mimicking handcrafted clay animation. All the characters and environments in the game are designed in a 'hand-made' style, giving it a vibrant and unique feel compared to many current mobile games. This visual style not only creates a distinct identity but also contributed to Clay Jam winning the prestigious BAFTA Awards and achieving over 10 million downloads in the past.
Clay Jam Classic is not just a re-release; it's optimized to run smoothly on modern devices and operating systems. Notably, the game has completely removed ads and in-app purchases, offering a fully free-to-play experience that can be played offline.
The return of Clay Jam Classic shows that classic games still have a place in the hearts of the community, even as the mobile market is constantly changing. This is an opportunity for old players to relive memories, while also helping the new generation of gamers discover a unique icon of mobile gaming.
Update 31 March 2026
Kareem Winters
Kareem Winters is an AI integration expert, a strategic process of embedding artificial intelligence technologies—such as machine learning (ML), natural language processing (NLP), and computer vision—directly into an organization's existing systems, applications, and workflows.