This database contains the results of the October 2023 Game Developer Collective survey on tools and services. It includes both analyzer tools and the full underlying survey data.
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Game Developer Collective Survey October 2023: Tools and Services
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Games Tech Market Forecast 2023
Data / 17 Jan 2023 / Liam Deane
This database measures and forecasts the future growth to 2027 of the entire market for technology products and services consumed by the games industry, segmented into 15 product categories, and broken down by device and region.
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Games Tech Market Landscape Database – 2H23
Data / 30 Aug 2023 / Liam Deane
This database maps 427 games tech companies against 77 product categories, giving a comprehensive overview of the technology vendor landscape in the games industry.
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Unity’s pricing changes are trying to solve too many problems at once
News Analysis / 21 Sep 2023 / Liam Deane
Radical new changes to Unity’s pricing structure have sparked backlash from game developers. What motivated the changes, what went wrong, and will they succeed improve the company’s fortunes? This report examines the evidence.
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The Analyst Team
Liam Deane
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Liam leads Omdia’s games tech coverage with his research focusing on the technology and services that power the video games market, and exploring the B2B value chain connecting games development to service providers to consumers.
Prior to joining Omdia, Liam worked at Irdeto, a digital platform security company and owner of Denuvo, a leading provider of security technology to the games industry, where he advised senior management and product teams on market trends and strategy. Before that, he worked as an analyst covering the video games and broader digital media market at Ovum, one of Omdia’s predecessors. Liam holds a master’s degree in philosophy from UCL, and with a background spanning both analyst research and first-hand industry experience, Liam has a unique blend of experience informing his work analyzing the complex games industry ecosystem.
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These are Omdia driven recommendations based on content that is both similar, and has been frequently visited by other users in combination with the content you are currently viewing.
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