A smart city is a city that uses sensors, networks and data to run its services better: buses that report where they are, traffic lights that adjust to real queues, water pipes that flag their own leaks, and buildings that cut heating when rooms are empty. That is the short answer. The longer one is messier, because the phrase has been used to sell everything from parking apps to entire neighbourhoods built by tech companies, and Canada has seen both the promise and the backlash up close. Ottawa’s own Smart Cities Challenge is a good place to start, because it forced more than 200 communities to spell out what they actually meant by the term.
What is a smart city, in plain terms?
Strip away the marketing and a smart city does three things. It measures what is happening in the city in close to real time. It moves that information to the people and systems that can act on it. And it changes a service as a result, whether that means rerouting a snowplough, shifting a bus schedule or warning residents about poor air quality.
The technology is the easy part to describe. Connected sensors (often called the Internet of Things) collect the data. Fibre, 5G and low-power wireless networks carry it. Cloud platforms and, increasingly, machine-learning models sort it. Dashboards, apps and automated controls turn it into decisions. None of those pieces is new on its own. What makes a city “smart” is whether they are joined up, and whether anyone at city hall is responsible for using them well.
Planners also tend to add a fourth test that engineers sometimes forget: residents have to be better off. A network of cameras that nobody asked for and nobody can audit is not a smart city by most current definitions. It is just surveillance with a nicer name.
Smart city technology: the main building blocks
Most projects fall into a handful of families. The table below sets out what each one does, the kind of hardware involved and where Canadian cities have used it.
| Technology | What it does | Typical hardware and software | Canadian example |
|---|---|---|---|
| Adaptive traffic signals | Adjusts light timing to actual traffic instead of fixed cycles | Road sensors, cameras, central signal software | Toronto’s smart signal programme on major arterials |
| Shared and on-demand mobility | Makes it easier to share cars, bikes and trips | Booking apps, GPS, open mobility data | LocoMotion car and bike sharing in Montréal |
| Smart grids and building controls | Balances electricity demand and cuts waste in buildings | Smart meters, building automation, battery storage | Bridgewater, N.S., energy poverty programme |
| Water monitoring | Detects leaks, pressure drops and contamination early | Acoustic leak sensors, flow meters, water-quality probes | Utility leak-detection pilots in several Ontario cities |
| Environmental sensing | Tracks air quality, heat and noise street by street | Low-cost air sensors, weather stations | Neighbourhood air-quality networks in Canadian metros |
| Food and waste systems | Tracks food and materials so less is thrown away | Data platforms, logistics software | Guelph-Wellington circular food economy |
| Digital public services | Moves permits, reporting and payments online | 311 apps, open data portals | Municipal 311 and open-data portals across Canada |
What Canada learned from the Smart Cities Challenge
Infrastructure Canada launched the challenge in the fall of 2017. It drew more than 200 applications, and on May 14, 2019, the federal government named four winners who shared $75 million. What stands out, looking back, is how little of the winning money went to gadgets.
- Montréal ($50 million) proposed to improve mobility and access to fresh food. The result, Montréal en commun, grew into 13 projects run with local partner organisations, including the LocoMotion shared-vehicle platform.
- Guelph and Wellington County ($10 million) set out to build a circular food economy, cutting waste and turning by-products into new products.
- Nunavut communities ($10 million) used the money for a life-promotion approach to suicide prevention, with technology in a supporting role.
- Bridgewater, Nova Scotia ($5 million) targeted energy poverty, helping households cut the share of income they spend on power and heat.
That mix says a lot about how the idea has changed. The early smart city pitch was about sensors everywhere. The Canadian winners mostly treated technology as plumbing for a social goal. Critics still argued that the programme spread a small budget too thin and that some projects struggled to show measurable results. But the direction, starting from a problem rather than a product, has become the norm in planning circles.
Toronto’s Quayside: the cautionary tale
If Montréal shows the quiet version of a smart city, Toronto’s waterfront shows the loud one. In 2017, Sidewalk Labs, a sister company of Google under Alphabet, began planning a 12-acre district called Quayside with Waterfront Toronto. The vision included timber towers, heated sidewalks, autonomous vehicles and sensors throughout public space.
The project ran into sustained criticism over who would own and control the data collected in public streets. Privacy expert Ann Cavoukian, the former Ontario privacy commissioner, left her advisory role in 2018 over those concerns. In May 2020, Sidewalk Labs pulled out, citing the economic uncertainty caused by the pandemic. Waterfront Toronto has since moved ahead with a different, housing-focused plan for the site.
Quayside is now taught as a case study in what not to do: design the technology first, leave data governance vague and ask the public for trust afterwards. Montréal, by contrast, built data governance into its programme from the start, treating city data as a shared public resource with clear rules.
How Canadian cities rank today
International rankings are a blunt tool, but they show movement. In the 2026 edition of the IMD Smart City Index, which blends technology with residents’ views on quality of life, Toronto climbed to 48th place from 63rd a year earlier. Toronto, Vancouver and Montréal were the only Canadian cities on the list.
Toronto’s recent work is mostly unglamorous: adaptive traffic signals on busy corridors, a multi-year plan to prepare city streets for automated vehicles, wider public Wi-Fi and 5G coverage, and more efficient controls in new buildings. For background on how faster networks feed into this, see our piece on 5G networks and Canadian businesses.
How big is the smart city technology market?
It depends on who is counting, and the gap is large. Market research firms put the global smart cities market for 2025 anywhere from roughly US$950 billion to more than US$2 trillion. Fortune Business Insights sits near the low end, while Precedence Research estimates about US$2.25 trillion. The spread exists because there is no agreed definition: some reports count only sensors and software, while others fold in public transit upgrades, grid investment and building retrofits.
The more useful takeaway for residents is where the money actually goes. Energy, transport and buildings account for most spending, because that is where cities can show savings. Energy storage is a big part of that story; our explainer on energy storage and grid balancing covers why.
The risks: privacy, security and the digital divide
Every sensor that makes a service smarter also creates data about people. Canadian privacy law applies to public bodies through provincial statutes, and the Quayside episode showed that residents expect clear answers about who stores the data, for how long and who can buy it. Cybersecurity is the second worry: a connected water plant or traffic network is also a target. Several North American cities have been hit by ransomware that shut down municipal systems for weeks.
The third risk gets less attention. Services that move online can leave behind older residents, low-income households and anyone without reliable internet. The Nunavut and Bridgewater projects are useful reminders that the communities that need better services the most are often the least connected. Artificial intelligence adds another layer of questions, which we cover in our look at AI ethics and regulation in Canada.
Water, waste and the environment
Some of the most cost-effective smart city technology is buried underground. Acoustic sensors can hear a leak in a water main long before it breaks through the pavement, and utilities lose a large share of treated water to leaks. Real-time water-quality probes can also spot contamination faster than lab samples. Related research on cleaning water at the molecular scale is covered in our article on nanotechnology and water purification, and the growing concern about particles in drinking water is explained in microplastics in the water supply.
On waste, the Guelph-Wellington model tracks food and materials across farms, processors and households so that less ends up in landfill. It is a good example of a smart city project where the “smart” part is mainly better information shared between organisations, not new hardware.
Frequently asked questions
What is a smart city in simple words?
A smart city uses connected sensors, networks and data to run public services such as transport, energy, water and waste more efficiently, with the aim of making life better for residents.
What technology do smart cities use?
The core tools are Internet of Things sensors, high-speed networks such as fibre and 5G, cloud data platforms, artificial intelligence for analysis, and apps or automated controls that act on the data, such as adaptive traffic lights and smart meters.
Which Canadian city is the smartest?
In the 2026 IMD Smart City Index, Toronto was the highest-ranked Canadian city at 48th place, with Vancouver and Montréal also on the list. Montréal won the largest prize in the federal Smart Cities Challenge, $50 million.
Why did the Sidewalk Labs project in Toronto fail?
Sidewalk Labs cited economic uncertainty from the pandemic when it withdrew in May 2020, but the project had faced long-running criticism over data privacy and who would control information gathered in public spaces.
What are the disadvantages of smart cities?
The main concerns are privacy, cybersecurity, high costs that are hard to recover, dependence on private vendors, and a digital divide that can leave residents without internet access behind.
