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Visualizing the New Cryptocurrency Ecosystem

Over a decade ago, the birth of Bitcoin sparked a revolution in the digital world — and just last year, the number of active cryptocurrencies jumped from roughly 1,600 to over 3,000 worldwide.

Cryptocurrencies have now evolved past simple digital currencies, offering solutions to meet the complex needs of modern financial markets.

Today’s graphic from Abra visualizes the complex, ever-evolving cryptocurrency ecosystem and its real-world applications.

Characteristics of Cryptocurrencies
Why are cryptocurrencies important for the future of digital finance?

Borderless
Drastically reduces fees and processing times due to a lack of cross-border restrictions
Censorship-free
Prevents governments or major institutions from blocking financial activities at whim
Greater financial control
Individuals can have total control of their funds
Greater security
Prevents fraudulent alterations from third parties
Lower costs
Lower transaction fees thanks to fewer third parties
Greater Accessibility
Reduces or eliminates traditional barriers to capital markets
Much like the internet has forever altered how we live and work, cryptocurrencies have the potential to change how people participate in global financial markets.

Categorizing the New Crypto Economy
Today’s cryptocurrencies go beyond replacing cash. This new token-based economy is evolving─with unique solutions emerging in finance, security, identification, social engagement, and ownership.

Cryptocurrencies are generally categorized by their primary application within the ecosystem:

💥👉Payments
Digital cash can be used for both ecommerce and brick-and-mortar retailers.

💥👉Store of value
New form of scarce native currency and a means of settlement

💥👉Programmable money
Borderless money that enables easy conversion between currencies.

💥👉Stablecoins
Crypto version of fiat which is tied to the value of resources like gold or the U.S. dollar

💥👉Privacy
Private digital transactions, with some offering anonymity

💥👉Digital ownership
Digital handling, storage, and monetization of data

💥👉Decentralized utilities
Crypto-enabled networks, products, and services that exchange between assets

💥👉Alternative finance
Digital assets such as collectibles, commodities, and tokenized securities

Cryptocurrencies are adding both value and utility to the digital economy, and to the global financial market as a whole.

♻️💥Applications of Cryptocurrencies
Because cryptocurrencies are programmable, customizable computer code, developers can design and adapt them for many use cases within the digital economy.

How are these various cryptocurrencies being used in everyday applications?

Current Projects
👉SPEDN auto-converts crypto to fiat for merchants, reducing exchange rate risk while offering convenient customer payment options.

👉Slice offers real estate investing to anyone for as low as $10,000 through fractional investment

Near-future Projects
CyClean plans to launch a blockchain-enabled electric vehicle (EV) fleet that mines crypto as users travel—reducing emissions and rewarding users for doing so.

Digital construction platform AZSGlobal connects contractors to clients around the world through blockchain, opening up a global marketplace of potential deals.

These are just a few of the ways cryptocurrencies are breaking down barriers for people and companies worldwide—allowing them to grow personal wealth and enter the global market.

The Growth of the Crypto Economy
Worldwide, the numbers show that blockchain-based technology and cryptocurrency use is growing. Blockchain wallet users rose from nearly 9 million in 2016 to over 42 million in 2019.

Developers produced a mere 100 decentralized apps (DApps) in 2015─with that number skyrocketing to over 3,100 by 2019.

Overall, cryptocurrencies are helping to create an innovative and accessible financial system around the world.

"Cryptocurrency deserves an opportunity to find a sustainable future in our economy" -- Adena Friedman, President & CEO of NASDAQ

While the future of the new cryptocurrency economy is still taking shape, one thing is certain─cryptos are forever altering the way we view and measure the value of money.

Visualizing the Rise of Co-Working Spaces

In the modern era, people can work from anywhere and everywhere.

Thanks to the cloud, wireless protocols, and collaboration software, it’s possible for workers to be productive from a nearby coffee shop, another town, or a different country entirely.

While this unprecedented freedom allows us to work further apart, it’s simultaneously enabled a new business model that brings people together. The rise of co-working spaces – led by companies like WeWork – is already a multi-billion dollar industry, and a growing mainstay of startup culture.

Co-Working Together
Today’s infographic comes to us from Raconteur, and it shows why companies – and especially fast-growing startups – are increasingly gravitating towards co-working spaces.

The co-working industry offers something to startups that traditional solutions cannot, which is the ability for office space to scale with the company’s growth both seamlessly and flawlessly. Further, by covering all the essentials, from working wireless internet to an unlimited supply of coffee, this new model allows startups to focus on what matters, such as achieving product-market fit or the latest pivot.

The industry is expected to grow at a 12% CAGR over the next five years, and there’s even talk that segment-leading WeWork will be raising money at a $35 billion valuation.

Beyond the Value Prop
The prospect of “Space-as-a-Service” is certainly a compelling one for fast-growing startups, but what other valid reasons factor into the momentum behind co-working spaces?

According to co-workers themselves, here are the ten highest-ranking benefits of the model:

💥Social and enjoyable atmosphere (59%)

💥Interaction with others (56%)

💥Community (55%)

💥Close distance to my home (51%)

💥Like-minded people (47%)

💥Good value for money (41%)

💥Good transport connections nearby (41%)

💥Basic office infrastructure (38%)

💥Knowledge-sharing (35%)

💥Big open workspace (34%)

All in all, the value added by co-working spaces seems to be very real for the companies that call these shared spaces home.

As a result, it will be no surprise to learn that the global co-working industry is expected to expand to 30,432 spaces and 5.1 million members by 2022.

5G: The Next Generation of Mobile Connectivity

Just before the smartphone revolution, Nokia was by far the world’s most popular mobile handset manufacturer.

However, despite selling 250 million units of its two most popular block-shaped models in the mid-2000s, the Finnish company ended up being woefully late to the smartphone party. Not only was the company ill-equipped to match the iPhone and Blackberry in terms of technology and design features, but Nokia also failed to foresee how exponential advances in mobile connectivity would change how people ultimately used their devices.

As true broadband connectivity shaped the mobile experience, the phone was no longer just a phone – it was transformed into a seamless hub for any and all digital activity.

💥The 5G Experience
In the coming years, the newest generation of mobile connectivity – 5G – will roll out and change what is possible again. With maximum speeds up to 1,000x faster than 4G, this new technology will again shift consumer behavior, as well as how we view smartphones, communications, IoT, gaming, and AR/VR.

Today’s infographic comes to us from Cradlepoint, and it highlights how the switch to 5G is unfolding, and what it could mean to you.

The switch to 5G is already well underway, with countries like China and the United States spending billions of dollars since 2015 to get infrastructure in place.

And by 2035, it’s estimated that 5G will enable $12.3 trillion of global economic output, according to a recent report from IHS Markit.

What 5G Will Mean
Here are some of the key differentiators that 5G will provide to future wireless connectivity:

♻️10x decrease in latency
Latency will be as low as 1ms.

♻️10x increase in connection density
This will enable more efficient signaling for IoT connectivity.

♻️3x spectrum efficiency
More bits per Hz will be achieved with advanced antenna techniques.

♻️100x traffic capacity
This will drive network hyper-densification with more small cells everywhere.

♻️10x experienced throughput
Multi-Gbps peak rates will be achieved with uniformity.

♻️100x network efficiency
Network energy consumption will be optimized through more efficient processing.

The switch to 5G will mean longer battery life for devices, lower costs, enhanced cellular footprints, higher throughput, enhanced capacity, low latency, and virtually no packets dropped.

More importantly, as a result of these changes, how mobile connectivity looks in 10 years may be as unrecognizable as the Nokia block phone era does to us today.

The Future of Automotive Innovation

Since the invention of the internal combustion engine, there have been many incredible innovations made in the auto industry.
Manufacturers created new body styles and market segments, automatic transmissions and power steering were introduced, and safety features such as airbags made passengers much safer. Computers were even added into cars to optimize performance and provide GPS for navigation purposes.
In short, vehicles got cheaper, lighter, stronger, safer, cleaner, faster, and more luxurious.
But despite this, there is a strong case that the biggest innovations in the auto industry are yet to come.

👉💥A New Era of Automotive Innovation

Today’s infographic comes to us from Evolve ETFs and it explains the many forces shaping the future of automotive innovation.
Unlike past periods of innovation in the industry, the coming years will be particularly interesting because many of the changes will come from outside of the traditional workings of a car.
Automation and the shared economy will change how the entire commuting model works. Meanwhile, an increased pe*******on of EVs will have an impact well beyond the engine, as charging infrastructure needs to be added, battery supply chains need to be created, and as legacy auto parts become obsolete.
While these transitional changes take place, the auto market is expected to jump from $3.5 trillion (2015) to $6.7 trillion (2030) in total size – and a whopping 30% of the revenue will come from new services that don’t even exist today.

The ACES Framework

The future of automotive innovation will hinge on four major technologies: automation, connectivity, electric power, and the shared economy.
This can be simplified into the acronym “ACES”:
💥♻️A: Automation
Perhaps the most obvious and fundamental change facing the auto sector is the rise of autonomous cars
Not only does this technology have implications on major manufacturers and suppliers to the auto sector, but giving the cars the ability to self-drive will have an impact that extends well beyond it, as well.
The passenger economy, which will come from relieving people from the driver’s seat, is expected to be a $7 trillion industry alone by 2050.
💥♻️C: Connected
New cars are already taking advantage of increased connectivity today, and it will soon be the norm even in lower-end vehicles. This added networking unlocks new features such as infotainment, enhanced safety features, and diagnostics and analytical tools.
💥♻️E: Electric
In just seven years since its IPO, Tesla was able to leapfrog Ford in market valuation. Yet, this is still the very beginning of the EV revolution.
Many countries have announced regulations to curb gas or diesel fueled vehicles, and EVs are expected to hit 41 million global sales by 2040.
💥♻️S: Shared
The shared economy is the result of technological factors, but also societal ones. However, when combined with automation, sharing presents a fundamental shift to how commuting and transportation will work in the future.
With autonomous and shared cars, current commuter inconveniences such as traffic and parking will be reduced considerably – and it’ll make catching a ride to your destination far cheaper, as well.

The Evolution of Media: Visualizing a Data-Driven Future

In today’s highly-connected and instantaneous world, we have access to a massive amount of information at our fingertips.

Historically, however, this hasn’t always been the case.

Time travel back just 20 years ago to 2002, and you’d notice the vast majority of people were still waiting on the daily paper or the evening news to help fill the information void.

In fact, for most of 2002, Google was trailing in search engine market share behind Yahoo! and MSN. Meanwhile, early social media incarnations (MySpace, Friendster, etc.) were just starting to come online, and all of Facebook, YouTube, Twitter, and the iPhone did not yet exist.

👉The Waves of Media So Far
Every so often, the dominant form of communication is upended by new technological developments and changing societal preferences.

These transitions seem to be happening faster over time, aligning with the accelerated progress of technology.

💥Proto-Media (50,000+ years)
Humans could only spread their message through human activity. Speech, oral tradition, and manually written text were most common mediums to pass on a message.

💥Analog and Early Digital Media (1430-2004)
The invention of the printing press, and later the radio, television, and computer unlock powerful forms of one-way and cheap communication to the masses.

💥Connected Media (2004-current)
The birth of Web 2.0 and social media enables participation and content creation for everyone. One tweet, blog post, or TikTok video by anyone can go viral, reaching the whole world.
Each new wave of media comes with its own pros and cons.

For example, Connected Media was a huge step forward in that it enabled everyone to be a part of the conversation. On the other hand, algorithms and the sheer amount of content to sift through has created a lot of downsides as well. To name just a few problems with media today: filter bubbles, sensationalism, clickbait, and so on.

Before we dive into what we think is the next wave of media, let’s first break down the common attributes and problems with prior waves.

♻️Wave Zero: Proto-Media
Before the first wave of media, amplifying a message took devotion and a lifetime.

Add in the fact that even by the year 1500, only 4% of global citizens lived in cities, and you can see how hard it would be to communicate effectively with the masses during this era.

Or, to paint a more vivid picture of what proto-media was like: information could only travel as fast as the speed of a horse.

♻️Wave 1: Analog and Early Digital Media
In this first wave, new technological advancements enabled widescale communication for the first time in history.

Newspapers, books, magazines, radios, televisions, movies, and early websites all fit within this framework, enabling the owners of these assets to broadcast their message at scale.

With large amounts of infrastructure required to print books or broadcast television news programs, it took capital or connections to gain access. For this reason, large corporations and governments were usually the gatekeepers, and ordinary citizens had limited influence.

Importantly, these mediums only allowed one-way communication—meaning that they could broadcast a message, but the general public was restricted in how they could respond (i.e. a letter to the editor, or a phone call to a radio station).

♻️Wave 2: Connected Media
Innovations like Web 2.0 and social media changed the game.

Starting in the mid-2000s, barriers to entry began to drop, and it eventually became free and easy for anyone to broadcast their opinion online. As the internet exploded with content, sorting through it became the number one problem to solve.

For better or worse, algorithms began to feed people what they loved, so they could consume even more. The ripple effect of this was that everyone competing for eyeballs suddenly found themselves optimizing content to try and “win” the algorithm game to get virality.

Viral content is often engaging and interesting, but it comes with tradeoffs. Content can be made artificially engaging by sensationalizing, using clickbait, or playing loose with the facts. It can be ultra-targeted to resonate emotionally within one particular filter bubble. It can be designed to enrage a certain group, and mobilize them towards action—even if it is extreme.

Despite the many benefits of Connected Media, we are seeing more polarization than ever before in society. Groups of people can’t relate to each other or discuss issues, because they can’t even agree on basic facts.

Perhaps most frustrating of all? Many people don’t know they are deep within their own bubble in which they are only fed information they agree with. They are unaware that other legitimate points of view exist. Everything is black and white, and grey thinking is rarer and rarer.

♻️Wave 3: Data Media
Between 2015 and 2025, the amount of data captured, created, and replicated globally will increase by 1,600%.

For the first time ever, a significant quantity of data is becoming “open source” and available to anyone. There have been massive advancements in how to store and verify data, and even the ownership of information can now be tracked on the blockchain. Both media and the population are becoming more data literate, and they are also becoming aware of the societal drawbacks stemming from Connected Media.

As this new wave emerges, it’s worth examining some of its attributes and connecting concepts in more detail:

👉Transparency:
Data literate users will begin to demand that data is transparent and originating from trustworthy, factual sources. Or if a source is not rock solid, users will demand that limitations of methodology or possible biases are openly revealed and discussed.

👉Verifiability and Trust:
How do we know data shown is legitimate and bonafide? Platforms and media will increasingly want to prove to users that data has been verified, going all the way back to the original source.

👉Decentralization and Web3:
Anyone can tap into large amounts of public data available today, which means that reporting, analysis, ideas, and insights can come from an increasingly growing set of actors. Web3 and decentralized ledgers will allow us to provide trust, attribution, accountability, and even ownership of content when necessary. This can remove the middleman, which is often large tech companies, and can allow users to monetize their content more directly.

👉Data Storytelling
Growing data literacy, and the explosion of data storytelling is a key approach to making sense of vast amounts of data, by combining data visualization, narrative, and powerful insights.

👉Data Creator Economy:
Democratized data and the rise of storytelling are intersecting to create a potential new ecosystem for data storytellers. This is increasingly what we are focused on at Visual Capitalist, and we encourage you to support our Kickstarter project on this (just 6 days left, as of publishing time)

👉Open-Ended Ecosystem:
Just like open source has revolutionized the software industry, we will begin to see more and more data available broadly. Incentives may shift in some cases from keeping data proprietary, to getting it out in the open so that others can use, remix, and publish it, and attributing it back to the original source.

👉Data > Opinion:
Data Media will have a bias towards facts over opinion. It’s less about punditry, bias, spin, and telling others what they should think, and more about allowing an increasingly data literate population to have access to the facts themselves, and to develop their own nuanced opinion on them.

👉Global Data Standards:
As data continues to proliferate, it will be important to codify and unify it when possible. This will lead to global standards that will make communicating it even easier.

💥💥Early Pioneers of Data Media
The Data Media ecosystem is just beginning to emerge, but here are some early pioneers we like:

👉Our World in Data:
Led by economist Max Roser, OWiD is doing an excellent job amalgamating global economic data in one place, and making it easy for others to remix and communicate those insights effectively.

👉USAFacts:
Founded by Steve Ballmer of Microsoft fame to be a non-partisan source of U.S. government data.

👉FRED:
This tool by the Federal Reserve Bank of St. Louis is just one example of many tools that have cropped up over the years to democratize data that were previously proprietary or hard to access. Other similar tools have been created by the IMF, World Bank, and so on.

👉FiveThirtyEight:
FiveThirtyEight uses statistical analysis, data journalism, and predictions to cover politics, sports, and other topics in a unique way.

👉FlowingData:
At FlowingData, data viz expert Nathan Yau explores a wide variety of data and visualization themes.

👉👉Data Journalists:
There are incredible data journalists at publications like The Economist, The Washington Post, The New York Times, and Reuters that are tapping into the early beginnings of what is possible. Many of these publications also made their COVID-19 work freely available during the pandemic, which is certainly commendable.
Growth in data journalism and the emergence of these pioneers helps give you a sense of the beginnings of Data Media, but we believe they are only scratching the surface of what is possible.

💥👉What Data Media is Not
In a sense, it’s easier to define what Data Media isn’t.

Data Media is not partisan pundits arguing over each other on a newscast, and it’s not fake news, misinformation, or clickbait that is engineered to drive easy clicks. Data media is not an echo chamber that only reinforces existing biases. Because data is also less subjective, it’s less likely to be censored in the way we see today.

Data is not perfect, but it can help change the conversations we are having as a society to be more constructive and inclusive. We hope you agree!

Visualizing the Rise of Digital Payment Adoption

Digital Payments: The Evolution of Currency
Over the last decade, the digital payments landscape has undergone a structural shift.

Consumer behaviors are changing—moving towards contactless and cashless transactions. Meanwhile, as the magnitude of COVID-19 grows, these trends have only accelerated.

Today’s infographic navigates the digital payments ecosystem, exploring its history and innovative technologies, and how it continues to grow as a solution of choice for trillions of dollars of transactions each year

👉Digital Payments Timeline👇
The origins of digital payments began over 25 years ago with then 21 year-old entrepreneur Dan Kohn in Nashua, New Hampshire, who sold a CD over the internet via credit card payment.

💥👉1994: First online purchase is made
A CD of Sting’s Ten Summoner’s Tales is sold for $12.48 on NetMarket.

💥👉1997: First mobile payments and first contactless payments Coca-Cola installs two vending machines in Helsinki that accept payment by text message.

💥👉1999: Paypal launches electronic money transfer service. Early on, PayPal’s user base grew nearly 10% daily. Tesla CEO Elon Musk and venture capitalist Peter Thiel were among its co-founders.

💥👉2003: Alibaba launches Alipay in China
Today, the mobile payment platform has witnessed stunning growth — leveraging digital wallets accepted by merchants in over 50 countries and regions.

💥👉2007: M-PESA creates the first payments system for mobile phones. Kenya-based M-PESA launched its mobile banking and microfinancing service. Today, it has over 37 million active users on its platform across Africa.

💥👉2009: Bitcoin enables secure, untraceable payments Satoshi Nakamoto develops the first decentralized payment network in the world.

💥👉2013: WeChat Pay is rolled into the popular messaging platform. By 2018, it surpasses 800 million monthly active users.

💥👉2014: Apple Pay launches

By 2023, over $2 trillion of mobile payment transactions could be authenticated by biometric technology.

As technological advances continue to unfold, advances in digital payment technologies are creating ripple effects globally.

💥💥The Future of Digital Payments💥💥

As transactions rise, a number of other technological innovations could be instrumental to shaping the evolution of the digital payments industry:

👉💥Messaging-app payments
Facebook Messenger, WhatsApp, and WeChat can leverage the reach of billions of users.

💥👉Voice-activated commands
Paying for gas, groceries, or retail via voice could soar.

💥👉Peer-to-peer (P2P) payments
Bank of America and Visa are investing heavily into P2P partnerships.

💥👉Cryptocurrencies
Over one million transactions take place daily on average.

💥👉Biometric payments
Smartphone biometric security features could spur traction across digital payments.

💥👉Facial recognition
May soon replace QR codes across retail, transit, and airports in China.

💥👉Crypto wallet adoption
Blockchain wallet users are predicted to soar to 200 million by 2030.

💥👉Hardware & in-store interfaces
Square, Stripe, and Clover are driving new mobile processing integrations.

The $4.1T digital payments ecosystem is facing a notable transition, catalyzed by a wave of global advancements and disruption. As the industry continues to widen its reach, consumers and investors alike can benefit from the shift towards a cashless economy.

CONNECTED WORKERS --- How Digital Transformation is Shaping Industry’s Future

👉✅💥Connected Workers: Shaping the Future of Industry

Digital has upended businesses on a global scale, and no industry is immune from its powerful effects.

New and enhancing customer experience are key drivers for companies investing in transformation, but the most important reason for prioritizing this shift is that it will allow them to leverage entirely new opportunities for growth.

However, with the speed of digital transformation accelerating at a furious pace, companies need to quickly adapt their working environment to keep up. This graphic from unearths the origins of the connected worker, and explores the potential applications of connected devices across industries.

👉👉💥💥The Rise of the Connected Worker

The mass adoption of devices has sparked a new wave of remote work. This type of working arrangement is estimated to inject $441 billion into the global economy every year, and save 2.5 million metric tonnes of CO2 by 2029—the equivalent of 1,280 flights between New York and London.

However, flexible or working looks different depending on the industry. For example, in the context of business services such as engineering or manufacturing, employees who carry out different tasks remotely using digital technologies are known as connected workers.

The term is not a one-size-fits-all, as there are many different types of connected workers with different roles, such as operators, field workers, engineers, and even executives. But regardless of an individual’s title, every connected worker plays a crucial role in achieving digital transformation.

👉👉💥💥Real Time Data, Real Time Benefits

When workers are connected to assets in real time, they can make better, more informed decisions—ultimately becoming a more efficient workforce overall. As a result, industries could unlock a wealth of benefits, such as:

✅Reducing human error
✅Increasing productivity
✅Reducing dangerous incidents
✅Saving time and money
✅Monitoring assets 24/7
While connected workers can enhance the potential of industries, the tools they use to achieve these benefits are crucial to their success.

👉👉💥💥Connected Worker Technologies

A connected device has the ability to connect with other devices and systems through the internet. The connected worker device market is set for rapid growth over the next two decades, reaching $4.3 billion by 2039. Industries such as oil and gas, chemical production, and construction lead the way in the adoption of connected worker technologies, which include:

✅Platforms: Hardware or software that uses artificial intelligence and data to allow engineers to create bespoke applications and control manufacturing processes remotely.

✅Interfaces: Technologies such as 3D digital twins enable peer-to-peer information sharing. They also create an immersive reflection of surroundings that would have otherwise been inaccessible by workers, such as wind turbine blades.

✅Smart sensors and IoT devices: Sensors that monitor assets provide a more holistic overview of industrial processes in real time and prevent dangerous incidents.

✅Cloud and edge computing: Using the cloud allows workers to communicate with each other and manage shared data more efficiently.

Over time, connected devices are getting smarter and expanding their capabilities. Moreover, devices such as wearables are becoming more discreet than ever, and can even be embedded into personal protective equipment to gather data while remaining unobtrusive.

👉👉💥💥Real World Applications

With seemingly endless potential, these devices have the ability to provide game changing solutions to ongoing challenges across dozens of industries.

✅Building Maintenance and Management
Facility managers can access real time information and connect with maintenance workers on site to resolve issues quickly. Building personnel can also access documentation and remote help through connected technologies.

✅Task Management
Operators in industrial settings such as mining can control activities in remote locations. They can also enable field personnel to connect with experts in other locations.

✅Communications Platform
Cloud-based communication platforms can provide healthcare practitioners with a tool to connect with the patient, the patient’s family and emergency care personnel.
By harnessing the power of artificial intelligence, the Internet of Things, and analytics, connected workers can continue to revolutionize businesses and industries across the globe.

💥💥Towards a More Connected Future

As companies navigate the challenges, implementing connected worker technologies and creating a data-driven work environment may quickly become an increasingly important priority.

Not only is digital transformation important for leveraging new growth opportunities to scale, it may be crucial for determining the future of certain businesses and industries.