This statistic represents the percent increase of the 15 fastest-growing large cities in the U.S. between July 1, 2020 and July 1, 2021. Georgetown city in Texas is at the top of the fastest-growing large cities, with a growth rate of 10.5 percent over this period.

This graph shows the 15 fastest growing cities in the United States, by percentage increase in population, from the period April 1, 2010 to July 1, 2011. Over this time New Orleans was the fastest growing city at a rate of 4.9 percent.

This statistics shows the top 20 fastest growing large-metropolitan areas in the United States between July 1st, 2022 and July 1st, 2023. The total population in the Wilmington, North Carolina, metropolitan area increased by 0.05 percent from 2022 to 2023.

According to population estimates recently released by the California Department of Housing and Community Development, the San Francisco Bay Region is the fastest growing region in the state.San Jose, followed by San Francisco and Oakland have the highest populations in the region, and three bay area cities made the top 10 ranking. In addition, our region also has 4 counties; Santa Clara (1), Alameda (2), San Francisco (5) and San Mateo (9), in the top 10 fastest growing counties. Dublin (3), Campbell (7) and Rio Vista (8) each had a significant percentage change in their population growth. The state data reports population and housing trends for 482 California cities. Last year, all but 43 cities saw an increase in residents, with the declines typically experienced in the state's rural areas.

The fastest growing city in Africa is Bujumbura, in Burundi. In 2020, this city had an estimated population of about one million. By 2035, the population of Bujumbura could increase by 123 percent and reach roughly 2.3 million people. Zinder, in Niger, had about half million inhabitants in 2020 and, with a growth rate of 118 percent, is Africa's second fastest growing city. In 2035, Zinder could have over one million residents.

As of 2021, the largest city in whole Africa is Lagos, in Nigeria. Other highly populated cities in Africa are Kinshasa, in Congo, Cairo, and Alexandria, both located in Egypt.

EPA data for Air Quality Index (AQI) for 11 of the fastest growing cities in the US for 2010 and 2019. US Official Census data for respective city growth from 2010-2019.

There are 4 labeled tabs. First is EPA data for each city for years 2010 and 2019. Second is US census data for each city's growth, region, population. Third is a key for AQI scores, Fourth is a key for air pollutant types.

Data is from US official census data and Environmental Protection Agency data. Cite both of these websites. Also, EPA data is county data from which the respective city belongs to. This is because county data is the most drilled down AQI data that the EPA website offers, or at least that I saw.

Digital twin was the fastest growing Smart City use case in Europe in 2019 and was expected to reach compound annual growht rate (CAGR) of ** percent from 2018 to 2022. Digital twin refers to a digital replica of potential actual physical assets. The corresponding growth rate for intelligent traffic management was ** percent.

According to Cognitive Market Research, the global smart city platforms market size was USD 192541.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 9.00% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 77016.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 57762.36 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 44284.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.0% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 9627.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 3850.82 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.7% from 2024 to 2031.
The data management platform is the fastest growing segment of the smart city platforms industry

Market Dynamics of Smart city platforms Market

Key Drivers for Smart city platforms Market

Urbanization and population growth to drive market growth

Urbanization and population growth are key drivers of the Smart City Platforms Market, as they create the need for more efficient urban management solutions. Rapid migration to cities places immense pressure on infrastructure, transportation, energy, and public services. To address these challenges, smart city platforms enable cities to optimize resource allocation, improve traffic management, and enhance public safety through data-driven decision-making. As urban populations grow, the demand for sustainable and scalable solutions increases, leading to investments in technologies like IoT, artificial intelligence, and data analytics. These platforms allow city administrators to manage services in real time, ensuring smoother operations and better living conditions. Furthermore, governments worldwide are supporting smart city initiatives to handle the socio-economic impacts of urbanization, boosting the market's expansion.

Increased demand for efficient public services to boost market growth

The increased demand for efficient public services is a major driver of growth in the Smart City Platforms Market. As urban populations expand, cities face pressure to improve the efficiency and quality of essential services such as transportation, healthcare, energy management, and waste disposal. Smart city platforms provide a solution by integrating various urban services through the use of IoT devices, big data, and real-time analytics. By leveraging these technologies, cities can streamline operations, reduce costs, and respond more effectively to residents' needs. For example, smart traffic systems can alleviate congestion, while intelligent energy grids optimize power consumption. Citizens also expect more responsive and transparent services, pushing governments to adopt smart platforms to enhance service delivery and public engagement. This rising demand for smarter, more efficient services is a key factor driving market growth.

Restraint Factor for the Smart city platforms Market

Data privacy and security concerns to limit market growth

Data privacy and security concerns pose significant challenges to the growth of the Smart City Platforms Market. As these platforms rely on massive amounts of data collected from IoT devices, sensors, and city infrastructure, they become potential targets for cyberattacks and unauthorized access. Breaches in public data can compromise critical systems, including transportation, healthcare, and public safety, leading to severe consequences. Citizens are increasingly concerned about how their personal information is being used and protected, which raises issues around trust and transparency. Furthermore, stringent regulations like GDPR and other regional data protection laws require cities to ensure robust security measures, which can increase implementation costs and complexity. The fear of potential data misuse or leaks can slow down the adoption of smart city technologies, limiting market growth despite their benefits.

Impact of Covid-19 on the Smar...

Lagos is Nigeria's largest city and commercial capital. Lagos is among the top ten of the world's fastest-growing cities and urban areas. The megacity has the fourth highest GDP in Africa and houses one of the largest and busiest seaports of the continent.

The goal is to determine the population growth rate from 2007 to 2024, also to build a machine learning model to predict the population in 2025

This statistic shows the ten cities with the fastest growing business base in the United Kingdom (UK) from 2016 to 2017. The number of businesses located in Warrington increased by **** percent during this period, with Aberdeen and Slough in second and third place respectively.

The Urban Growth Area is used to manage future growth around densely populated areas. The urban growth area is the city/town and adjacent unincorporated growth area identified by the cities/towns/county to receive urban growth in the future. Outside of the boundary only rural growth is permissible.

Correction to this data can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error. The 1990 Washington State Growth Management Act requires the state's fastest growing cities and counties to designate UGAs around each city and town to accommodate the expected population growth over the next 20 years. In Thurston County, UGAs surround Bucoda, Lacey, Olympia, Rainier, Tumwater, Tenino, and Yelm. The current boundaries of the UGAs were established in 1990 and updated via the 2015 adoption of the Thurston County Comprehensive Plan: CHAPTER II - LAND USE II.URBAN GROWTH AREAS History and Purpose of Thurston County's Urban Growth Areas: In 1983, Thurston County, along with the cities of Olympia, Lacey and Tumwater, blazed the trail for growth management in Washington State by signing an interlocal government agreement called the "Urban Growth Management Agreement." That early agreement included an Urban Growth Management Boundary around the three cities to serve as a limit for the cities' expansion for 20 years. The purposes of the county's original growth areas remain relevant today: To provide for higher intensity development around the county's incorporated cities and towns and unincorporated community centers in order to concentrate development in areas where minimal impact to the environment, natural resources and rural atmosphere will occur. To minimize public costs and conserve energy by using services and facilities efficiently through concentration of development and integration of jobs, shopping, services and housing. To phase urban growth and infill with the provision of urban public services and facilities. One of the main effects of an urban growth area is to provide a limit for the extension of urban utilities, especially sewer service. To that end, overall residential density in urban growth areas should be high enough to support urban public services and to provide affordable housing choices. There should be a variety of housing types, with most densities ranging from 4 to 16 dwelling units per acre. Map M-14 identifies the urban growth areas for each city or town in Thurston County. The UGAs must accommodate the urban growth projected over the next 20 years including a reasonable market factor. Policies and actions emphasize the provision of urban land uses and services and include provisions specifically aimed at reducing low density residential sprawl. Joint plans established with each city and town include planning policies for each UGA. Joint plans are contained in separate documents, but are incorporated as part of the Thurston County Comprehensive Plan. Detailed land use designations for all UGAs around cities and towns are provided in the following joint plans (Map M-14 is keyed to the numbering below):Olympia/Thurston County Joint PlanLacey/Thurston County Joint Plan Tumwater/Thurston County Joint PlanYelm/Thurston County Joint PlanRainier/Thurston County Joint PlanTenino/Thurston County Joint PlanBucoda/Thurston County Joint PlanList of Map Correction's (Correction can only be made through a Comprehensive Plan change or at the direction of Thurston County Long Range Planning due to a scrivener's error.)Made on 5 AUG 2014 by KLW. Made on 15 July 2016 by KAH. - Correction of scrivener's error in Tenino UGA Boundary at the Teitge Annexations. This error was due to parcel and city mapping issues. The UGA has been fixed to be consistent with the parcel legal descriptions and the legal description included in the annexation ordinance approved by the City of Tenino, and the annexation approved by the Boundary Review Board.

Smart City Platform Market Outlook

According to our latest research, the Global Smart City Platform market size was valued at $19.4 billion in 2024 and is projected to reach $83.7 billion by 2033, expanding at a robust CAGR of 17.8% during the forecast period of 2025–2033. One of the major factors fueling the growth of the Smart City Platform market globally is the rapid urbanization coupled with increasing government investments in smart infrastructure to enhance urban living standards. As cities worldwide face mounting pressures from population growth, resource constraints, and the need for sustainable development, smart city platforms are emerging as critical enablers for integrating digital technologies across transportation, energy, governance, and public safety sectors. These platforms help streamline urban operations, improve citizen engagement, and optimize resource utilization, thereby driving widespread adoption and market expansion.

Regional Outlook

North America continues to dominate the Smart City Platform market, accounting for the largest share of the global revenue in 2024, with an estimated market value exceeding $6.8 billion. This region’s leadership is underpinned by its mature technology ecosystem, early adoption of Internet of Things (IoT) solutions, and robust government initiatives such as the Smart Cities Challenge in the United States and Canada’s Smart Cities Plan. The presence of major technology companies and a strong focus on public-private partnerships have further accelerated the deployment of smart city platforms across metropolitan areas. Additionally, stringent regulations around energy efficiency, urban mobility, and public safety have encouraged cities to invest in integrated platforms, reinforcing North America’s preeminent position in the global market.

Asia Pacific is poised to be the fastest-growing region in the Smart City Platform market over the forecast period, projected to register an impressive CAGR of 21.2% from 2025 to 2033. This exceptional growth is attributed to rapid urbanization, significant investments in digital infrastructure, and ambitious smart city initiatives by countries such as China, India, Japan, and South Korea. Massive government funding, coupled with the proliferation of 5G networks and IoT devices, is propelling the adoption of smart city platforms across transportation, energy management, and public safety domains. Moreover, the region’s burgeoning population and rising demand for efficient urban services are driving municipalities to embrace digital transformation, making Asia Pacific a focal point for market expansion and innovation.

Emerging economies in Latin America, the Middle East, and Africa are witnessing a gradual yet steady uptake of Smart City Platform solutions, though growth is tempered by challenges such as limited funding, infrastructural bottlenecks, and regulatory uncertainties. While cities like Dubai, Riyadh, and São Paulo are making significant strides through pilot projects and regional collaborations, widespread adoption remains hindered by disparities in digital literacy, fragmented policy frameworks, and the high upfront costs associated with deploying integrated platforms. However, as international development agencies and private investors increasingly prioritize urban modernization in these regions, there is potential for accelerated growth, particularly in sectors like utilities management and environmental monitoring.

Report Scope

Cities ranking and mega citiesTokyo is the world’s largest city with an agglomeration of 37 million inhabitants, followed by New Delhi with 29 million, Shanghai with 26 million, and Mexico City and São Paulo, each with around 22 million inhabitants. Today, Cairo, Mumbai, Beijing and Dhaka all have close to 20 million inhabitants. By 2020, Tokyo’s population is projected to begin to decline, while Delhi is projected to continue growing and to become the most populous city in the world around 2028.By 2030, the world is projected to have 43 megacities with more than 10 million inhabitants, most of them in developing regions. However, some of the fastest-growing urban agglomerations are cities with fewer than 1 million inhabitants, many of them located in Asia and Africa. While one in eight people live in 33 megacities worldwide, close to half of the world’s urban dwellers reside in much smaller settlements with fewer than 500,000 inhabitants.About the dataThe 2018 Revision of the World Urbanization Prospects is published by the Population Division of the United Nations Department of Economic and Social Affairs (UN DESA). It has been issued regularly since 1988 with revised estimates and projections of the urban and rural populations for all countries of the world, and of their major urban agglomerations. The data set and related materials are available at: https://esa.un.org/unpd/wup/

The concept of urban DNA has been frequently utilized to describe how a set of urban growth parameters may encode the manner in which cities evolve in space and the spatial forms they assume as they do so. The five growth coefficients of the SLEUTH (Slope, Land-use, Exclusion, Urban, Transport, Hillshade) cellular automaton model of land use change and urban growth are often seen as an operationalization of urban DNA. For both theoretical urban studies and applied urban modeling, it is important to further develop this concept by understanding whether main urban DNA classes relate to distinct outcomes in terms of livability and sustainability. This study initiates this line of research by gathering empirical evidence about urban DNA and livability-sustainability indicators across a global sample of cities. It produces a behavioral taxonomy of cities according to their urban DNA and performance in livability and sustainability indices and indicators, and attempts a further link with the concept of urban commons. The results show that, notwithstanding variation across cities, it is possible to distinguish six such types of cities with relatively distinct behaviors and performances: multinodal, dispersed cities, with mixed outcomes (type A); multinodal, contiguous, slow-growing (type B); transport-oriented, dispersed, fast-growing (type C); large, buzzy, constrained (type D); dense, contiguous, fast-growing (type E); and transport-oriented, contiguous, interactive (type F) cities.

Curbside Management IoT Market Outlook

According to our latest research, the Curbside Management IoT market size was valued at $2.4 billion in 2024 and is projected to reach $8.7 billion by 2033, expanding at a robust CAGR of 15.2% during the forecast period of 2025–2033. The primary driver fueling this remarkable growth is the increasing urbanization and the corresponding need for smarter, more efficient urban mobility solutions. Cities worldwide are grappling with congestion, limited parking, and the growing demand for seamless curbside access for rideshare, delivery services, and micro-mobility. IoT-enabled curbside management systems are emerging as the preferred solution, offering real-time data, automation, and analytics to optimize curb space utilization, reduce traffic bottlenecks, and enhance the overall urban experience for both citizens and businesses.

Regional Outlook

North America currently holds the largest share of the global Curbside Management IoT market, accounting for approximately 38% of total revenue in 2024. This dominance is primarily attributed to the region’s mature urban infrastructure, early adoption of smart city initiatives, and robust investments in IoT technologies. Major metropolitan areas across the United States and Canada have prioritized curbside management as part of their broader mobility and sustainability agendas. Furthermore, favorable regulatory frameworks, public-private partnerships, and the presence of leading technology providers have accelerated market penetration. The proliferation of e-commerce, on-demand delivery, and ride-hailing services in North America has intensified the need for dynamic curbside solutions, driving continued market expansion and innovation.

The Asia Pacific region is projected to be the fastest-growing market, with a CAGR exceeding 18% from 2025 to 2033. Rapid urbanization, population growth, and the increasing adoption of smart city frameworks are propelling demand for curbside management IoT solutions across key economies such as China, Japan, South Korea, and India. Governments in the region are investing heavily in digital infrastructure and intelligent transportation systems to address mounting congestion and environmental concerns. Additionally, the rise of mega-cities and the integration of advanced wireless technologies, such as 5G, are enabling large-scale IoT deployments. Strategic collaborations between public agencies and private enterprises are further accelerating the adoption of curbside management platforms, positioning Asia Pacific as a pivotal growth engine for the global market.

Emerging markets in Latin America and the Middle East & Africa are also witnessing gradual uptake of curbside management IoT solutions, albeit with distinct challenges. Limited digital infrastructure, budgetary constraints, and fragmented regulatory environments often hinder rapid deployment. However, localized demand for efficient parking, traffic monitoring, and urban mobility solutions is rising, especially in rapidly growing cities. Policy reforms and pilot projects, often supported by international development agencies, are helping to bridge the adoption gap. As these regions continue to urbanize and invest in smart infrastructure, the potential for future market growth remains significant, provided that challenges related to standardization, funding, and system integration are effectively addressed.

Report Scope

Smart Cities Market By Size, Trends, Opportunity, Forecast 2028, By Smart Utilities, By Smart Governance, By Smart Transportation, By Smart Citizens Service, By Region, Competition Forecast and Opportunities

On May 1, 2014, the California Department of Finance released city, county, and state population estimates updated through the end of year 2013, which includes detailed data on housing production for the San Francisco Bay Region.Key conclusions from the map are summarized below:San Jose and San Francisco are acting as regional powerhouses for infill housing in the urban core.Exurban development is alive and well in the Bay Area, even while housing development has continued to stall in neighboring San Joaquin County.Cities along inner East Bay Bay Area Rapid Transit (BART) corridors produced little-to-no housing in 2013, while the Tri-Valley and eBART corridors saw robust growth.After San Jose and San Francisco, suburban communities like Dublin, Campbell, and Fremont were the top generators of new housing units in 2013.Based on housing production rates (% growth), the fastest-growing cities in the region were all in the eastern fringe of the region or in booming Silicon Valley.

Origin-Destination Data Platform Market Outlook

According to our latest research, the global Origin-Destination Data Platform market size in 2024 stands at USD 2.1 billion, demonstrating substantial momentum driven by the digital transformation of transportation and urban planning sectors. The market is experiencing a robust CAGR of 15.3% and is forecasted to reach USD 5.7 billion by 2033. This remarkable growth is propelled by the increasing adoption of advanced analytics for mobility intelligence, the proliferation of mobile and GPS-enabled devices, and the urgent need for data-driven decision-making in transportation, logistics, and urban infrastructure development.

The primary growth factor for the Origin-Destination Data Platform market is the rapid digitalization and integration of smart technologies across transportation and urban planning systems. Cities and metropolitan regions are under increasing pressure to optimize traffic flows, reduce congestion, and enhance public transit efficiency. The ability of origin-destination data platforms to aggregate and analyze vast volumes of mobility data from multiple sources—such as mobile phones, GPS devices, and transaction records—enables stakeholders to extract actionable insights for better infrastructure planning and policy formulation. This trend is further strengthened by the growing emphasis on sustainability and the need to minimize environmental impacts through smarter transportation networks.

Another significant driver is the surge in demand from logistics and supply chain industries. The pandemic-induced disruptions underscored the importance of real-time and predictive analytics to maintain operational continuity and resilience. Origin-destination data platforms empower logistics companies with granular visibility into movement patterns, bottlenecks, and last-mile delivery optimization. This capability is essential for companies aiming to enhance service levels while reducing costs and emissions. Furthermore, the rise of e-commerce and on-demand delivery services has amplified the need for precise, data-driven route planning and resource allocation, fueling further adoption of these platforms.

The market is also witnessing strong growth due to increased government spending on smart city initiatives and transportation modernization. Governments and transportation authorities are investing heavily in digital infrastructure to support urbanization, population growth, and climate action goals. Origin-destination data platforms play a pivotal role in these initiatives by providing the analytical backbone for projects such as congestion pricing, public transit optimization, and emergency response planning. Additionally, the integration of artificial intelligence and machine learning into these platforms is enhancing their predictive capabilities, making them indispensable tools for future-ready cities and enterprises.

Regionally, North America leads the market, supported by advanced digital infrastructure and early adoption of mobility analytics. Europe follows closely, driven by stringent sustainability mandates and extensive smart city projects. The Asia Pacific region is emerging as the fastest-growing market, propelled by rapid urbanization, government investments in smart mobility, and the widespread use of mobile devices. Latin America and the Middle East & Africa are gradually catching up, with increasing investments in transportation modernization and data-driven urban planning. Overall, the global landscape is characterized by dynamic growth, with each region contributing uniquely to the evolution of the origin-destination data platform market.

Component Analysis

The Component segment of the Origin-Destination Data Platform market is bifurcated into Software and Services. The software segment dominates the market, accounting for the majority of the revenue share in 2024. This is primarily due to the increasing demand for robust analytics engines, visualization tools, and data integration capabilities that enable organizations to process and interpret large volumes of mobility data efficiently. Advanced software solutions are continuously evolving to incorporate artificial intelligence, machine learning, and predictive modeling, which enhance their ability to deliver actionable insights for transportation planning, urban development, and logistics optimization. Vendors are also focusing on user-fr

Land Cover Mapping Analysis And Urban Growth Modelling Using Remote Sensing Techniques In Greater Cairo RegionEgypt
This dataset falls under the category Traffic Generating Parameters Land Cover.
It contains the following data: This study modelled the urban growth in the Greater Cairo Region (GCR), one of the fastest growing mega cities in the world, using remote sensing data and ancillary data. Three land use land cover (LULC) maps (1984, 2003 and 2014) were produced from satellite images by using Support Vector Machines (SVM). Then, land cover changes were detected by applying a high level mapping technique that combines binary maps (change/no-change) and post classification comparison technique. The spatial and temporal urban growth patterns were analyzed using selected statistical metrics developed in the FRAGSTATS software. Major transitions to urban were modelled to predict the future scenarios for year 2025 using Land Change Modeller (LCM) embedded in the IDRISI software. The model results, after validation, indicated that 14% of the vegetation and 4% of the desert in 2014 will be urbanized in 2025. The urban areas within a 5-km buffer around: the Great Pyramids, Islamic Cairo and Al-Baron Palace were calculated, highlighting an intense urbanization especially around the Pyramids; 28% in 2014 up to 40% in 2025. Knowing the current and estimated urbanization situation in GCR will help decision makers to adjust and develop new plans to achieve a sustainable development of urban areas and to protect the historical locations.
This dataset was scouted on 2022-02-03 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://www.researchgate.net/publication/282321895_Land_Cover_Mapping_Analysis_and_Urban_Growth_Modelling_Using_Remote_Sensing_Techniques_in_Greater_Cairo_Region-Egypt Please note: This link leads to an external resource. If you experience any issues with its availability, please try again later.

Tree species abundance in Georgetown GuyanaThese data represent the abundance of tree species in Georgetown Guyana. Individual trees with diameter at breast height (1.3 m) greater than 7 cm were counted in 45 transects with dimensions of 200 m in length and 60 m in width (30 m on each side). The Species column represents species identification, Abundance represents counts of each species wihtin each transect, Transect.No. represents a unique identifier for each transect, Transect.Type represents whether transects were commercial or residential, No.of.Buildings represents number of buildings within a transect, total.BA.m2 represents total basal area of all trees in a transect in square meters, total.crownArea.m2 represents the crown area of all tree species in a transect in square meters, Proportion.East.Indian represents proportion of residents of East Indian ancestry in neighborhoods containing transects, Origin.code represents the origin of tree species, Use.Acronym represents use of ...