Skip to main content

7 VCs talk about today’s esports opportunities

Even before the COVID-19 shutdown, venture funding rounds and total deal volume of VC funding for esports were down noticeably from the year prior. The space received a lot of attention in 2017 and 2018 as leagues formed, teams raised money and surging popularity fostered a whole ecosystem of new companies. Last year featured some big fundraises, but esports wasn’t the hot new thing in the tech world anymore.

This unexpected, compulsory work-from-home era may drive renewed interest in the space, however, as a larger market of consumers discover esports and more potential entrepreneurs identify pain points in their experience.

To track where new startups could arise this year, I asked seven VCs who pay close attention to the esports market where they see opportunities at the moment:

Their responses are below.

This is the second investor survey I’ve conducted to better understand VCs’ views on gaming startups amid the pandemic; they complement my broader gaming survey from October 2019 and an eight-article series on virtual worlds I wrote last month. If you missed it, read the previous survey, which is based on my theory that games are the new social networks.

Peter Levin, Griffin Gaming Partners

Which specific areas within esports are most interesting to you right now as a VC looking for deals? Which areas are the least interesting territory for new deals?

Everything around competitive gaming is of interest to us. With Twitch streaming north of two BILLION hours of game play thus far during the pandemic, this continues to be an area of great interest to us. Fantasy, real-time wagering, match-making, backend infrastructure and other areas of ‘picks and shovels’-like plays remain front burner for us relative to competitive gaming.

What challenges does the esports ecosystem now need solutions to that didn’t exist (or weren’t a focus) 2 years ago?

As competitive gaming is still so very new with respect to the greater competitive landscape of content, teams and events, the Industry should be nimble enough to better respond to dramatic market shifts relative to its analog, linear brethren. A native digital industry, getting back “online’”will be orders of magnitude more straightforward than in so many other areas.



from TechCrunch https://ift.tt/2Soijkm
via IFTTT
Labels:

Comments

Post a Comment

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...
Post a Comment
Read more

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...
1 comment
Read more

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT
Post a Comment
Read more