Technology
Infographic: The Anatomy of a Smart City
The Anatomy of a Smart City
There is no doubt that the city will be the defining feature of human geography for the 21st century.
Globally, there are 1.3 million people moving to cities each week – and by 2040, a staggering 65% of the world’s population will live in cities.
At the same time, the 600 biggest urban areas already account for 60% of global GDP, and this will only rise higher as cities become larger and more prosperous. In fact, experts estimate that up to 80% of future economic growth in developing regions will occur in cities alone.
The Smart City: A Necessary Step
As cities become an even more important driver of the global economy and wealth, it’s becoming crucial to ensure that they are optimized to maximize efficiency and sustainability, while enhancing the quality of life in each urban conglomeration.
Today’s infographic from Postscapes helps define the need for smart cities, and it also gives great examples of how technology can be applied in urban settings to facilitate cities that work better for their citizens.
Features of Tomorrow’s Cities
Smart cities will use low power sensors, wireless networks, and mobile-based applications to measure and optimize everything within cities.
Here are just some examples: (click below image to open full-size version)
Smart city solutions will fall into six broad categories, transforming the urban landscape:
1. Infrastructure
Smart lighting is one of the most important solutions that will be implemented in citywide infrastructure. While smart lighting sounds trivial at first glance, it’s worth noting that lighting alone consumes a whopping 19% of the world’s total electricity.
2. Buildings
Heating, energy usage, lighting, and ventilation will be managed and optimized by technology. Solar panels will be integrated into building design, replacing traditional materials. Fire detection and extinguishing is tailored to individual rooms.
3. Utilities
Smart grids (used for energy consumption monitoring and management), water leakage detection, and water potability monitoring are just some smart city aspects on the utilities side.
4. Transport
Intelligent, adaptive fast lanes and slow lanes (cycling, walking) will be implemented, while charging stations through the city will power EVs.
5. Environment
Air pollution control, renewable energy, and waste management solutions will make for greener cities. Rooftop gardens or side vegetation will be integrated into building designs, to help with insulation, provide oxygen, and absorb CO2.
6. Life
There will be citywide Wi-Fi for public use, while real-time updates will provide citizens information on traffic congestion, parking spaces, and other city amenities.
The Effect?
Cisco estimates that smarter cities will have impressive increases in efficiency: using many of the above concepts, cities can improve energy efficiency by 30% in 20 years.
Simultaneously, it’s estimated that the broad market for smart cities products and services will be worth $2.57 trillion by 2025, growing at a clip of 18.4% per year on average.
Technology
Visualizing AI Patents by Country
See which countries have been granted the most AI patents each year, from 2012 to 2022.
Visualizing AI Patents by Country
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.
This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.
From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.
Year | China | EU and UK | U.S. | RoW | Global Total |
---|---|---|---|---|---|
2010 | 307 | 137 | 984 | 571 | 1,999 |
2011 | 516 | 129 | 980 | 581 | 2,206 |
2012 | 926 | 112 | 950 | 660 | 2,648 |
2013 | 1,035 | 91 | 970 | 627 | 2,723 |
2014 | 1,278 | 97 | 1,078 | 667 | 3,120 |
2015 | 1,721 | 110 | 1,135 | 539 | 3,505 |
2016 | 1,621 | 128 | 1,298 | 714 | 3,761 |
2017 | 2,428 | 144 | 1,489 | 1,075 | 5,136 |
2018 | 4,741 | 155 | 1,674 | 1,574 | 8,144 |
2019 | 9,530 | 322 | 3,211 | 2,720 | 15,783 |
2020 | 13,071 | 406 | 5,441 | 4,455 | 23,373 |
2021 | 21,907 | 623 | 8,219 | 7,519 | 38,268 |
2022 | 35,315 | 1,173 | 12,077 | 13,699 | 62,264 |
In 2022, China was granted more patents than every other country combined.
While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.
Key Facts About AI Patents
According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.
In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).
In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.
Learn More About AI From Visual Capitalist
If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.
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