The market of video games developed by independent teams or small companies, commonly called “Indie Games”, has witnessed a significant increase. STEAM, a popular indie gaming platform, exposes more than 6 million reviews and about 13 thousand games from a social network of 2.6 million active users. IGN, a popular video games portal, serves more than 20 million unique monthly visitors and it is ranked at the 340-th position according to the Alexa rank of most visited websites worldwide. In order to compete against the largest companies, Indie Games SMEs aim at extending users’ engagement beyond the gaming experience to the collection and sharing of game-related content, mainly related to 3D printing of game characters. In fact, the overall market for 3D printing technologies and services is growing at a rapid pace. The LIGA experiment proposes a novel platform supporting Indie games SMEs to exploit the huge data available in gaming web portals and social networks to increase their penetration in the gaming-related market, with a focus on 3D printable models. LIGA will provide two advanced services: (i) a Smart Retail Recommendation Engine (REC-ENG), that suggests 3D content based on user profiling, and (ii) a 3D Content Analytics Services & Dashboard (3D-DASH) to allow content providers and game developers to better understand the trends about games and get insights on why their content is consumed and “liked”. The LIGA services fit the industrial requirements of SMEs working in the game-content market such as KUMO, a first-time HPC user that would like to exploit BigData analytics services of FORTISSIMO 2 to provide a unique dynamic ecosystem to share, collect, interact and print 3D game-related content. While data analytics tools and services such as Kontagent ́s, GameAnalytics, PlanetBase, SteamSpy are increasingly used as basis for understanding the gaming insights in terms of ARPU, ARPPU, ARDAPU, ACPU, AMPU, DAU, MAU1, the extensive use of analytics tools in the indie community for theme, visual and core mechanics design are still at the infancy. LIGA will go one step beyond that and analyze the huge volume of data generated by users of gaming web portals and social networks to discover trending topics, user communities, and sentiments about game characters and related aspects to enable new business and market opportunities transcending the boundaries of the digital game into the real physical world2. By relying on BigData analytics running on a dedicated HPC infrastructure LIGA will mine the huge game-related content shared by users to provide accurate recommendations and to promptly detect precise trends and extract relevant insights that can reduce 3D objects time to market. Through its services LIGA will thus support a very innovative manufacturing model, where production of objects is extremely distributed and the entire process relies on HPC BigData analytics.