Pokémon Go Maker Niantic sells its games section to $ 3.5 billion

The mobile giant said on Wednesday that she had agreed to obtain the Pokémon Go Raker Niantic games section for $ 3.5 billion.

The list of Niantic Pokémon Go games, which includes more than 20 million active players per week; Blum BlumWalking game was presented in 2021; Monster Hunter Now, AR game released in 2023; CAMPFIRE, Community Interaction Platform; And Wayfarer, a tool for contributing to new maps sites via Niantic games.

Niantic said it will now focus on building 3D maps in the real world through a new independent entity called Niantic Spatial, which will be led by the CEO of the company and founder John Hank. As part of the deal, more than 2,300 employees working in Niantic games will join Scopely.

“NIANTIC games have always been a bridge to connect people and inspire exploration, and I am sure they will continue to do them as part of Scopely. Games.

Scopely said that the players can expect Niantic games, their applications and events are loyal to their soul. The company, which makes popular titles such as “monopoly Go!” And “men stumbled”, he did not specify the future road map of Niantic games.

Niantic said it will continue to play Ingress Prime, the renewed version of the first Niantic game, and Pet Simulator Game PeridotUnder the spatial.

Niantic has released many titles in recent years that have been well received but struggled to match the success of Pokémon Go. Even Pokémon Go complain about him Ascending the paid content And the elements in the game in recent months.

After the epidemic, the company stopped some prominent projects, including NBA, Harry Potter and Marvel Games Hundreds of employees apply During the past few years.

To move forward, Ninature will focus on collecting data points related to real life. Last year, he updated it Scots An application to allow users to create models of objects in the real world and provide data for developers. In November 2023, the company She said she wanted to build a major geographical model This would use machine learning “to understand and connect a scene to millions of other scenes worldwide.”