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Animation: How Tech is Eating the Brand World

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How Technology is Eating the Brand World

Building a brand with an imperishable competitive edge can be difficult.

Technology companies however, are redefining what that edge means. By hastily responding to emerging consumer needs and leveraging the power of brand, these companies can continuously create meaningful solutions for real problems with scale.

Today’s animated chart highlights the most valuable brands in 2019 versus 2001, according to the annual “Best Global Brands” ranking by Interbrand. It illustrates the degree to which technology companies have been able to scale into massive brands over a short time frame, supplanting some of the best known companies in the world.

What is Brand Value, and How is it Measured?

Interbrand has created and consistently used a robust formula to measure brand value. Brand value is the Net Present Value (NPV) or the present value of the earnings that a brand is forecasted to generate in the future.

The formula evaluates brands based on their financial forecast, brand role, and brand strength. The full methodology can be found here.

Tech Reigns Supreme

In 2001, the cumulative brand value was $988 billion. Today, that value stands at $2.1 trillion and represents an average CAGR of 4.4%. Over the years, global tech giants have swiftly climbed the ranks, and now represent a significant amount of the total brand value.

In fact, with a combined brand value of almost $700 billion, tech companies account for half of the top 10 most valuable brands in the world. Perhaps unsurprisingly, Apple holds the title for the world’s most valuable brand in 2019—for the seventh year running.

Only 31 brands from the 2001 ranking remain on the Best Global Brands list today, including Disney, Nike, and Gucci. Coca-Cola and Microsoft are the few who have remained in the top 10.

Below is the full list of the world’s most valuable brands:

RankBrandBrand Value ($B)1-Yr Value ChangeIndustry
#1Apple$234B9%Technology
#2Google$168B8%Technology
#3Amazon$125B24%Technology
#4Microsoft$108B17%Technology
#5Coca-Cola$63B-4%Beverages
#6Samsung$61B2%Technology
#7Toyota$56B5%Automotive
#8Mercedes Benz$51B4%Automotive
#9McDonald’s$45B4%Restaurants
#10Disney$44B11%Entertainment
#11BMW$41B1%Automotive
#12IBM$40B-6%Business Services
#13Intel40B-7%Technology
#14Facebook$40B-12%Technology
#15Cisco$35B3%Business Services
#16Nike$32B7%Retail
#17Louis Vuitton$32B14%Retail
#18Oracle$26B1%Business Services
#19General Electric$25B22%Diversified
#20SAP$25B10%Business Services
#21Honda$24B3%Automotive
#22Chanel$22B11%Retail
#23American Express$22B13%Technology
#24Pepsi$20B-1%Beverages
#25J.P Morgan$19B8%Finance
#26Ikea$18B5%Retail
#27UPS$18B7%Logistics
#28Hermes$18B9%Retail
#29Zara$17B-3%Retail
#30H&M$16B-3%Retail
#31Accenture$16B14%Business Services
#32Budweiser$16B3%Alcohol
#33Gucci$16B23%Retail
#34Pampers$16B-5%FMCG
#35Ford$14B2%Automotive
#36Hyundai$14B5%Automotive
#37Gillette$14B-18%FMCG
#38Nescafe$14B4%Beverages
#39Adobe$13B20%Technology
#40Volkswagen$13B6%Automotive
#41Citi$13B10%Financial Services
#42Audi$13B4%Automotive
#43Allianz$12B12%Insurance
#44ebay$12B-8%
#45Adidas$12B11%Fashion
#46Axa$12B6%Insurance
#47HSBC$12B5%Finance
#48Starbucks$12B23%Restaurants
#49Philips$12B-4%Electronics
#50Porsche$12B9%Automotive
#51L’oreal$11B4%FMCG
#52Nissan$11B-6%Automotive
#53Goldman Sachs$11B-4%Finance
#54Hewlett Packard$11B4%Technology
#55Visa$11B19%Technology
#56Sony$10B13%Technology
#57Kelloggs$10B-2%FMCG
#58Siemens$10B1%Technology
#59Danone$10B4%FMCG
#60Nestle$9B7%Beverages
#61Canon$9B-9%Technology
#62Mastercard$9B25%Technology
#63Dell Technologies$9BNewTechnology
#643M$9B-1%Technology
#65Netflix$9B10%Entertainment
#66Colgate$9B2%FMCG
#67Santander$8B13%Finance
#68Cartier$8B7%Luxury
#69Morgan Stanley$8B-7%Finance
#70Salesforce$8B24%Technology
#71Hewlett Packard Enterprise$8B-3%Technology
#72PayPal$8B15%Technology
#73FedEx$7B2%Logistics
#74Huawei$7B-9%Technology
#75Lego$7B5%FMCG
#76Caterpillar$7B19%Diversified
#77Ferrari$6B12%Automotive
#78Kia$6B-7%Automotive
#79Corona$6B15%Alcohol
#80Jack Daniels$6B13%Alcohol
#81Panasonic$6B-2%Technology
#82Dior$6B16%Fashion
#83DHL$6B2%Logistics
#84John Deere$6B9%Diversified
#85Land Rover$6B-6%Automotive
#86Johnson & Johnson$6B-8%Retail
#87Uber$6BNewTechnology
#88Heineken$5,6264%Alcohol
#89Nintendo$6B18%Entertainment
#90MINI$5B5%Automotive
#91Discovery$5B-4%Entertainment
#92Spotify$5B7%Technology
#93KFC$5B1%Restaurants
#94Tiffany & Co$5B-5%Fashion
#95Hennessy$5B12%Alcohol
#96Burberry$5B4%Fashion
#97Shell$5B-3%Energy
#98LinkedIn$5BNewTechnology
#99Harley Davidson$5B-7%Automotive
#100Prada$5B-1%Fashion

Since 2001—the first year the report featured 100 brands—several tech companies have joined and climbed their way to the top of the list, while 137 notable brands dropped off entirely, including Nokia and MTV.

In an interesting turn of events, Facebook dropped out of the top 10, and into 14th place after a volatile year. The move however, is not surprising. The tech giant has been mired in controversies, ranging from data privacy issues to prioritizing political influence.

Which Brands Are Growing the Fastest?

2019’s fastest growing brands also signals tech domination, with Mastercard, Salesforce and Amazon leading the charge.

The companies in this ranking experienced a significant increase in their brand value year-over-year (YoY).

RankBrandBrand Value ($B)YoY Growth
#1Mastercard$9B25%
#2Salesforce$8B24%
#3Amazon$125B24%
#4Gucci$16B23%
#5Starbucks$12B23%
#6Adobe$13B20%
#7Visa$11B19%
#8Caterpillar$7B19%
#9Nintendo$5B18%
#10Microsoft$109B17%

According to Interbrand, the success of these brands may be attributed to their ability to anticipate rapidly changing customer expectations.

While the relationship between business performance and brand equity has been a widely debated topic for decades, it is clear that customer satisfaction bolsters brand equity, and encourages impressive financial results.

Disrupt, or Be Disrupted

Beyond anticipating changing needs, some of the most successful brands also cater to a younger customer base. This is the most evident in luxury and retail—the two fastest growing sectors for the second consecutive year.

This audience is tech-first in their buying habits and increasingly demand more elevated and shareable experiences. As a result, traditional brands across all sectors are innovating to keep up with this audience, and some are essentially becoming tech companies in the process.

For example, Gucci attributes their success to finding the perfect blend between creativity and technology. The company that once relied on its heritage, now focuses heavily on ecommerce and social media to engage with their Gen Z customers.

Similarly, Walmart recently announced that they are employing virtual reality headsets and machine-learning-powered robots in an attempt to compete with Amazon.

Will traditional companies ultimately become tech companies, or simply get eaten alive?

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Technology

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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