Innovation and Tech In Media Entertainment: A Survey

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LOS ANGELES — The SMPTE 2018 Innovation and Technology in Media Entertainment Survey, designed to provide insight into “the critical issues that are transforming the media and entertainment (M&E) technology industry,” has just been released by the Society of Motion Picture and Television Engineers.


The SMPTE survey examines artificial intelligence and machine learning (AI/ML), immersive media, professional media over managed IP networks, and the Better Pixels Project.

The survey drew more than 200 responses from engineers, managers, directors, and C-suite executives whose organizations operate in the post-production, production, R&D, distribution, pre-production, and consumption industries.

Respondents reported having substantial expertise in engineering, post-production, R&D, and production, and more than 70% indicated that they have more than 20 years in the industry. Nearly a third of respondents’ companies have 20 or fewer employees, and 60% have 500 or fewer employees. Almost 80% of these companies do business in North America.

The survey results, SMPTE says, “highlight the importance of engaging with technologists in emerging areas of innovation to build new business relationships and the value of developing technical standards and workflow conventions that ensure the industry can effectively absorb new technologies into its operations.”

SMPTE Executive Director Barbara Lange says, “The M&E sector has always been at the forefront in adopting technologies that have a dramatic impact on consumers’ relationship with content. The SMPTE 2018 Innovation and Technology in Media Entertainment Survey confirms this understanding, describing an industry that is ready to explore how new technologies change the way storytellers connect with audiences. Survey results also convey that the M&E sector is investing in emerging technology that will further transform the way content is created, distributed, and consumed.”


A complete summary of the survey results is available from SMPTE as a white paper, available by clicking on this link.


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