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The 50 Biggest Video Game Franchises by Total Revenue

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The 50 Biggest Video Game Franchises by Total Revenue

The 50 Biggest Video Game Franchises by Total Revenue

When the world’s first video game, Tennis for Two, was revealed at a science fair in 1958, people were fascinated—there was clearly something special.

Since these humble beginnings, video games have rode waves of technological advancements to burgeon into a $100+ billion industry. To visualize this success, today’s infographic from TitleMax lists the top 50 highest-grossing video games franchises.

While this feat is impressive on its own, the way many of these franchises generate their revenue may come as a shock.

How Do Video Games Generate Billions?

Video games first saw large-scale commercial success in the 1980s, in what some describe as the “golden age of arcade games”. As arcades popped up across America, renowned classics like Pac-man and Space Invaders raked in large sums of money, one coin at a time.

Today, there are two revenue models generally followed by video game publishers—the traditional pay-to-play (P2P) model, and the newer free-to-play (F2P) model.

For much of the industry’s modern history, P2P models have been the default option. A developer incurs costs to produce its games, so it sells them to consumers to recover costs and make a profit.

Under a F2P model, however, the developer essentially distributes its games for free. Players don’t have to pay anything if they don’t want to, and the developer runs the risk that it may never recoup its costs.

So why would a developer ever choose a F2P model? Let’s look at industry data from 2019:

PlatformFree-to-play (F2P) RevenuePay-to-play (P2P) Revenue
Mobile$64.4B--
PC$21.1B$5.2B
Console$1.6B$13.8B
Total$87.1B$19.0B

Source: SuperData

Those aren’t typos. F2P games accounted for a whopping 82% of industry revenue in 2019. What’s more, is that this gap continues to grow: since the previous year, F2P revenue grew 6%, while P2P revenue fell by 5%.

The Power of Discretionary Spending

There’s a number of F2P franchises listed in today’s graphic which have grossed well over a billion dollars in total revenue.

RankFranchiseDeveloperPlatformGross Revenue
#15League of LegendsRiot Games¹PC$8.4B
#21Arena of ValorTencentMobile$6.4B
#23Clash of ClansSupercell²Mobile$6.0B
#27Candy Crush SagaKing³Mobile$4.9B
#40Maple StoryNexonPC$3.0B
#46FortniteEpic Games⁴Console, Mobile, PC$2.5B
#47Clash RoyaleSupercell²Mobile$2.0B

¹wholly-owned subsidiary of Tencent, ²majority-owned subsidiary of Tencent, ³wholly-owned subsidiary of Activision Blizzard, ⁴Tencent owns a 40% stake.

Because these types of games are often published for PC or mobile phone (most people have at least one of these), their accessibility becomes a key advantage. This is especially true in China, where video game consoles like Xbox have been banned in the past.

Yet, simply amassing a large player base isn’t enough. With no money being paid upfront, developers must create compelling incentives for players to willingly part with their cash.

League of Legends

League of Legends, one of the world’s most popular video games, is widely considered a successful pioneer in this regard.

When developer Riot Games chose a F2P model for its game, it took a gamble. The model was largely unproven for titles of its genre, and it’s main source of revenue was set to be the sale of purely cosmetic items called “character skins”.

Nobody would have tried Legends if we put a price point in front of it because the game is tough to sell

—Marc Merrill, Co-founder of Riot Games

Part of the game’s incentive to spend comes from its longevity—League of Legends has just entered its 11th year. Rather than release a new title, the developer makes continuous improvements to the existing game, with each iteration dubbed as a new “season”.

If a traditional P2P game represents a movie, League of Legends could then be considered a long-running TV show. For example, while there’s been one League of Legends since 2009, there’s been 11 Call of Duty titles over that same time frame.

Joining the Party

Some of the world’s most successful video game franchises, which have historically published games under the P2P model, are also expanding into free games with great success.

For Pokémon (#1 in gross revenue), product diversification is nothing new. While the franchise manages a universe of offerings from physical merchandise to movies, its free mobile augmented reality (AR) game, Pokémon Go, may be one of its most successful endeavors.

The game, which leads players out into the real world to catch virtual monsters, was a massive sensation when it launched in 2016. In fact, it was so popular (and distracting) it’s been estimated to have contributed to more than 100,000 car accidents.

Four years since its release, Pokémon Go is a shining example of what the F2P model can achieve—the game has racked up over 1 billion downloads and generated an incredible $3 billion in revenues.

YearGross Revenue % Change 
2016$832M-
2017$589M-29%
2018$816M+38%
2019$894M+10%
Total$3,131M-

Source: Sensor Tower Store Intelligence

Part of Pokémon Go’s incentive to spend comes from its incredibly unique social experience—it
turns real world landmarks into hubs where players can gather. By simply leveraging the capabilities of existing smartphones, it’s also extremely accessible.

Is Free the New Norm?

As more and more franchises successfully expand into free games, it’s clear that the F2P model will be the primary driver of future growth. The relatively higher accessibility of F2P games is also crucial to tap into the quickly growing esports industry.

However, traditional P2P games, which are now being called “premium games”, still have some merit to them. These games are often associated with a higher level of quality which people are happy to pay for.

Yet, as the legitimacy and success of the F2P model continues to develop, this quality gap could also shrink in the future.

Editor’s note: The revenue figures in today’s infographic include merchandise and other related products.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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