Top 5 Data Visualization Trends in 2022 and More Years to Come!

Due to the fact that technological advances are ever-changing, the future of data visualization (or ‘datavis’) will bear little resemblance to its previous incarnations. Morden datavis is moving towards more fluid, real-time models capable of accurately capturing the entirety of nuanced data sets. 

In this blog, we’ll list out five major trends of data visualization, along with detailed explanation for each of them. But first, do you really know why data visualization and learning its trend is that important? Let’s see. 

The significance of data visualization

Datavis can dramatically add value to your business by conveying large datasets visually, making it much easier for employees to digest. In a data-driven world, this means a better grasp on critical customer data for any business. 

It is shown that the human brain is able to process visuals 60,000 times faster than text. Plus, it excels in recognizing trends, identifying potential issues, and predicting future development from transparent visual expressions such as graphs, charts, so on. 

Read How this top bank boost 25% work efficiency with Data Visualization!

So, why not adopt accurate datavis to make the most of your data? By enabling the right programs to categorise your data and create graphics, you will be able to leverage data visualization to give your business the leg up on competition.  

Top 5 major data visualization trends in 2022 and beyond

2022 is the year of economic recovery after COVID-19 pandemic. SMEs and large enterprises, which are familiar with working in digital platforms and utilizing the digitalization to do business, are adopting data visualization more regularly than ever. Based on reliable statics and figures, the experts have drawn out 5 new data visualization techniques in 2022 and beyond. 

Real time data visualization

You must know when a problem occurs at the exact moment it occurs!

The first data visualization trend in 2022 that we want to talk about is real time data visualization. This means that you must know when a problem occurs at the exact moment it occurs. Early problem detection in business strategy, customer retention, and regular brand presence can have significant influence on your bottom line. 

Video visualization

67% of users preferred to learn about a new product or service via a video rather than text or images.

The statistics of data retention via video is even more impressive than those via static visuals – and that’s something to think about. We are all aware of the emotional impact of a creative commercial or the attractive capacity of a music video. But it is simpler, in fact, as even with less appealing content such as a presentation, our brains gravitate towards paying attention to videos. 

We absorb information better via video. A recent study found that its participants answered questions 323% better when they received a video aid, compared with those who had text guide only.  

But that’s not everything. Naturally, we know that video is easier for our brains to capture the content and prefer it given the option. The same study as above showed that 67% of users preferred to learn about a new product or service via a video rather than text or images. 

These amazing factors equal the prospect of video infographics and even commercials in this year and beyond. Yet, their application for both customer retention and business strategy are just beginning to be explored and are chief areas for future strategic data visualization implementation. 

Data democratization

Data democratization paired with an efficient data visualization type choice can unlock big data results for crews at all levels within your organization

In the past, understanding data used to be a hassle, as it required data scientists and other technicians’ attention to unlock its treasures. 

But this is no longer a problem. Today, high-tech, coding-free data analysis platforms can automatically process and unlock your data. This makes it malleable and easy to display in whatever datavis mode that your tech employees of any level can dream of. 

This is the ‘democratization’ of data which, when paired with an efficient data visualization type choice, can unlock big data results for crews at all levels within your organization – and spare your technical employees the hardest tasks. 

AI and machine learning data visualization

Humans are just as bad at accurately categorising raw data as they are at processing it. 

This is possible the number one trend for data visualization in 2022 and beyond, as AI and machine learning are the backbone of all great datavis and will remain a chief factor as technology progresses. 

Data visualization without advanced AI is doomed to be inaccurate and futile in the long run. Because of a bitter truth that humans are just as bad at accurately categorising raw data as they are at processing it. 

Customer feedback is best tackled by unbiased programs that can categorise said feedback in real-time and according to your specifications. This omits the need to assign employees to perform countless hours of laborious hand-tabulation that hands down involve some bias. 

Mobile and social datavis

56% of internet access came from mobile devices

The way people go online has a tremendous influence on data visualization, and it is changing unceasingly every day. Research by Broadband Search in February 2021 showed that 56% of internet access came from mobile devices. 

That’s a giant market share. And it’s important to understand that data visualization is not only for your in-house teams – it can also be utilized to reduce customer churn, enhance customer loyalty, and even attract new customers – all via the great power of visualizations. 

Whether existing or potential customers are keeping themselves updated about your offerings on social media, on your site, or on an online review board, mobile-compatible data visualization is vital. Content that is irresponsive with mobile devices can chase a customer off. Or, it could just mean that they don’t see a chief graphic that you have paid good money to have strategically displayed.  

Anyway, the final result is the same – dreaded customer churn. Leading the race of mobile data visualization is an easy but critical step. 

The key takeaways

In the upcoming years, businesses will utilize data visualization more regularly and in a larger scale in an effort to compete and lead the race. Understanding and harnessing the latest trends for data visualization enables you to keep up with your rivals and strengthen your foothold in the digitalized market. The 5 trends of visualizations in 2022 and further are real time data visualization, video visualization, data democratization, AI and machine learning data visualization, and mobile and social data visualization. 

Follow us on LinkedIn, Twitter, and Youtube to be informed about the latest news and information about Data Analytics.