During the fourth industrial revolution (Industry 4.0), building smart cities is a trend deployed by cities around the world to solve urban problems. Recently, a number of research projects on developing the model in Vietnam have obtained initial results. However, in fact, it is necessary to develop smart city development solutions suitable for each city as well as the whole nation.

According to a report conducted in 2024, New York City was the smartest city, scoring a motion index of****. Additionally, Chicago ranked second with a score of ***** The idea behind smart cities first was analyzed by the US Community Analysis Bureau in the 1960s and 1970s. The concept has now evolved and analyzes various technologies' effects on urban living.

Smart Cities Market Outlook

As of 2023, the global smart cities market is estimated to have a market size of approximately USD 450 billion. This market is expected to grow at a robust CAGR of 15.6% from 2024 to 2032, reaching a projected valuation of USD 1.39 trillion by the end of the forecast period. The primary drivers behind this dynamic growth include rapid urbanization, increasing investments in sustainable urban solutions, and the escalating demand for efficient resource management. The integration of advanced technologies such as IoT, AI, and big data analytics into urban planning and development is catalyzing the transformation of traditional cities into smart cities, thereby driving market expansion.

The growth of the smart cities market is significantly fueled by the urgent need for sustainable urbanization. As cities across the globe continue to grapple with the challenges posed by burgeoning populations, there is a pressing demand for smart solutions that optimize city operations and enhance the quality of life for residents. Smart solutions, ranging from energy-efficient infrastructure to intelligent transportation systems, are becoming pivotal in addressing issues such as traffic congestion, pollution, and resource depletion. Governments worldwide are increasingly prioritizing smart city initiatives to foster sustainable urban environments, which is a major growth factor for this market.

Technological advancements are another critical growth factor propelling the smart cities market. The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) is revolutionizing urban landscapes by enabling real-time data collection and analysis, which, in turn, enhances decision-making processes. These technologies facilitate the development of interconnected systems that improve urban management and service delivery in areas such as healthcare, energy, and infrastructure. Moreover, the emergence of blockchain technology is contributing to the security and transparency of data transactions in smart city ecosystems, further driving market growth.

In addition to technology and sustainability, the increasing investments from both public and private sectors are significantly boosting the smart cities market. Governments are allocating substantial funds for the development of smart city projects, while private companies are investing in innovative solutions to gain a competitive edge. Collaborative partnerships between local governments and technology firms are becoming commonplace, fostering the development of smart solutions tailored to address specific urban challenges. This influx of investment is not only accelerating the deployment of smart city technologies but also enhancing their adoption across various regions.

Smart City & Connected City Solutions are becoming increasingly vital as urban areas strive to enhance connectivity and improve the quality of life for their residents. These solutions encompass a wide range of technologies designed to create interconnected urban environments where data flows seamlessly between various city systems. By integrating communication networks, smart city solutions enable real-time monitoring and management of urban services, such as traffic control, energy distribution, and public safety. This interconnectedness not only optimizes resource utilization but also enhances the responsiveness of city administrations to the needs of their citizens. As cities continue to grow and evolve, the demand for Smart City & Connected City Solutions is expected to rise, driving further innovation and investment in this sector.

Regionally, the Asia Pacific is leading the smart cities market, driven by rapid urbanization and significant government initiatives toward smart city development. Countries such as China, India, and Japan are at the forefront, with substantial investments in smart technologies to enhance urban living standards. North America follows closely, with cities like New York, San Francisco, and Toronto investing heavily in smart infrastructure and technology to bolster city management and sustainability. In Europe, the focus is on sustainable and inclusive urban solutions, with countries like Germany and the Netherlands pioneering in smart city projects. Meanwhile, Latin America and the Middle East & Africa are witnessing gradual growth, as nations in these regions begin to recognize the potential of smart cities in addressing urban challenges.

Component Analysis

Analysis of the projects proposed by the seven finalists to USDOT's Smart City Challenge, including challenge addressed, proposed project category, and project description.

The time reported for the speed profiles are between 2:00PM to 8:00PM in increments of 10 minutes.

In 2022, Florence was the leading smart city in Italy. This result was revealed in a study covering *** provincial capital cities. The level of smartness of the cities was measured through the ICity Rate, which was determined by combining *** indicators related to the following thematic dimensions: economy, living, environment, people, mobility, governance, and legality.  

Smart city features

Nowadays, smart cities in Italy offer a wide range of services, like free Wi-Fi, online services, and IoT and network technologies. In 2022, Cremona, Bergamo, and Rovigo were the leading smart cities offering online services. Moreover, a range of smart city apps has been developed for the Italian market covering segments such as culture and tourism, mobility, and security.

Smart city projects

Tourism and mobility were among the main focuses of several smart city projects that were carried out in Italy over the past few years, with a number of additional projects planned to be implemented in the coming years. Italian municipalities showed major interest in smart city projects regarding security, parking, and urban traffic management.

Abstract The growth of urban population is widely acknowledged to be a central trend that poses challenges for the administration of cities worldwide. In this context, several advances in information and communication technologies (ICTs) have been developed to gradually transform urban centers into smart cities. In this article, we seek to contribute to filling a knowledge gap in the literature on smart city - namely the lack of empirical data in works on this subject - by investigating a project aimed at turning the municipality of Búzios in Brazil into a smart city, named Cidade Inteligente Búzios (CIB). Our objective is, thus, to describe and understand the controversial influence of the context in the implementation of the project, which was considered a success for some actors and irrelevant for others, a situation that defies the very concept of success in the implementation of smart cities.

"Smart Cities in Asia-Pacific: Smart City Initiatives Gain Momentum as Connectivity Improves and ICT Technologies Evolve", a new Telecom Insider Report by GlobalData, provides an executive-level overview of the smart city market in Asia-Pacific. It delivers deep qualitative insight into the smart city market, analyzing key trends and smart city projects being implemented in the region, and the main smart city value chain and ecosystem dynamics in the region. Read More

The potential for developing smart cities in Kazakhstan is evaluated using cluster analysis. Built on previous research focused on clustering the regions of Kazakhstan, this study applies the same method to the cities of the country. The analysis uses indicators related to human capital, infrastructure, education, information technology, production, and other factors to assess the potential of each city. The clustering is performed using Single Linkage, Complete Linkage, and Ward’s methods. The results show that Almaty and Astana are the cities with the highest potential for becoming smart cities. Aktobe is identified as a city with distinctive features that may help or hinder its development as a smart city. The remaining cities are clustered into two groups, with one group having the potential to catch up and maintain the trend of developing smart cities, while the other group is less suitable for starting smart city projects and may require more investment per capita. The study highlights the deep regional inequality affecting the potential to successfully develop and manage smart cities in Kazakhstan. The analysis also reveals some limitations and challenges in the data and variables used, including the lack of data for some variables and the difficulties in "translating" some factors and indicators into quantitative variables for clustering. The study concludes that future research should address these challenges and consider clustering inside certain regions to focus on their unique features. The study recommends launching pilot projects in small cities, with the most successful practices then scaled and implemented in the core smart cities and possibly Aktobe, if it manages to use its advantages to compensate for risks. Overall, this study provides insights into the potential of smart city development in Kazakhstan and can inform policymakers in their efforts to support smart city projects in the country.

According to Cognitive Market Research, the global smart cities market size is USD 552158.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 16.00% 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 220863.44 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1656432771.08 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 126996.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.0% from 2024 to 2031.
Latin America had a market share for more than 5% of the global revenue with a market size of USD 27607.93 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% 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 11043.17 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.7% from 2024 to 2031.
The smart transportation

Market Dynamics of Smart cities Market

Key Drivers for Smart cities Market

Rapid urban growth to increase the demand globally

Rapid urban growth is significantly driving the global demand for smart city solutions. As cities expand, the need for efficient management of resources and infrastructure becomes critical. This urbanization surge is accompanied by increasing populations, leading to greater strain on transportation systems, energy supplies, and public services. To address these challenges, cities worldwide are turning to smart technologies. These innovations enhance urban living by improving traffic management, reducing energy consumption, and streamlining waste disposal. Additionally, smart solutions foster economic development and environmental sustainability. By leveraging advanced technologies such as IoT and AI, urban areas can become more resilient, adaptive, and efficient. This transformation is essential for accommodating the burgeoning urban populations and ensuring sustainable growth in the future.

Policies and funding for smart city projects to propel market growth

Policies and funding for smart city projects are crucial drivers of market growth, providing the necessary framework and resources for development. Governments worldwide are recognizing the importance of smart cities in addressing urban challenges and enhancing the quality of life. By implementing supportive policies, they create an environment conducive to innovation and collaboration between public and private sectors. Significant financial investments are being directed towards infrastructure upgrades, technology deployment, and research initiatives. These funds facilitate the integration of advanced technologies such as IoT, AI, and data analytics into urban planning and management. Additionally, grants and incentives encourage businesses and startups to participate in smart city initiatives. This robust support accelerates the development and adoption of smart city solutions, driving substantial market expansion and progress.

Restraint Factor for the Smart cities Market

Challenges in ensuring different systems and technologies work seamlessly together to Limit the Sales

Ensuring different systems and technologies work seamlessly together poses significant challenges that can limit sales in the smart cities market. Interoperability issues arise due to the diverse range of technologies, platforms, and standards used in smart city solutions. These discrepancies can lead to integration difficulties, where systems fail to communicate effectively, resulting in inefficiencies and data silos. Additionally, the lack of unified standards and protocols complicates the deployment and scaling of smart solutions. This fragmentation not only increases implementation costs but also deters potential investors and city planners wary of technical complexities and risks. As a result, the market's growth is hampered by the slow adoption rate, as stakeholders seek reliable and compatible solutions to ensure seamless operation and long-term sustainability.

Impact of Covid-19 on the Smart cities Market

The COVID-19 pandemic has had a notable negative impact on the smart cities market. Economic downturns and budget reallocations have led to ...

The Trust for Public Land's Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connecting, Cooling, Absorbing, and Protecting.Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure3 = Medium Priority for Green Infrastructure0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.

Smart Cities in Water and Waste Sector

Big Data in Smart Cities Market Outlook

The global market size for Big Data in Smart Cities is projected to grow from USD 30 billion in 2023 to USD 90 billion by 2032, at a compound annual growth rate (CAGR) of 14%. This growth is driven by the increasing urbanization and the need for efficient city management solutions. Smart cities leverage big data to optimize resources, enhance public services, and improve the overall quality of urban life, making it a critical investment for governments worldwide.

One of the primary growth factors for the Big Data in Smart Cities market is the rapid urbanization occurring globally. As more people migrate to cities, the pressure on urban infrastructure and services intensifies. This necessitates the adoption of advanced technologies to manage resources efficiently and sustainably. Governments and city planners are increasingly turning to big data analytics to monitor and manage urban resources such as water, electricity, and transportation more effectively. This technological integration not only improves the functionality of city services but also enhances the quality of life for residents.

Another significant growth driver is the increasing investment from both public and private sectors in smart city initiatives. Governments are allocating substantial budgets to develop smart city projects aimed at creating more livable, sustainable, and resilient urban environments. Private companies are also investing heavily in smart city technologies, including big data analytics, to capitalize on emerging opportunities. These investments are spurred by the potential for significant returns, as efficient city management can lead to cost savings and revenue generation. The collaboration between public and private entities is fostering innovation and accelerating the deployment of big data solutions in urban settings.

The growing adoption of the Internet of Things (IoT) is also propelling the Big Data in Smart Cities market. IoT devices generate vast amounts of data that can be analyzed to gain insights into various aspects of urban life, from traffic patterns to energy consumption. The integration of IoT with big data analytics allows for real-time monitoring and decision-making, which is crucial for the dynamic and complex environments of smart cities. As IoT technology becomes more widespread and affordable, its role in smart city solutions is expected to expand, further driving the market growth for big data analytics.

Smart City Platforms play a pivotal role in the integration and management of various technologies within urban environments. These platforms serve as the backbone for data collection, analysis, and dissemination, enabling cities to leverage big data effectively. By providing a centralized framework, Smart City Platforms facilitate the seamless interaction between IoT devices, data analytics tools, and city management systems. This integration is crucial for achieving the goals of smart city initiatives, such as enhancing public services, optimizing resource use, and improving the quality of life for residents. As cities continue to evolve and embrace digital transformation, the importance of robust and scalable Smart City Platforms cannot be overstated.

Regionally, North America is expected to hold a significant share of the Big Data in Smart Cities market due to early adoption and substantial investments in smart city projects. Europe follows closely, with numerous initiatives aimed at sustainable urban development. The Asia Pacific region is anticipated to witness the highest growth rate, driven by rapid urbanization, government initiatives, and increasing technological advancements. Latin America and the Middle East & Africa are also expected to contribute to market growth, albeit at a slower pace, as smart city projects in these regions are still in the nascent stages.

Component Analysis

The Big Data in Smart Cities market is segmented into Software, Hardware, and Services based on components. The software segment includes analytics platforms, data management software, and various applications designed to manage and analyze urban data. This segment is expected to witness significant growth due to the increasing demand for advanced analytics to derive actionable insights from vast amounts of data generated in smart cities. The need for real-time data processing and predictive analytics is driving the adoption of sophisticated software solutions, which are crucial for effective city management.&

The potential for developing smart cities in Kazakhstan is evaluated using cluster analysis. Built on previous research focused on clustering the regions of Kazakhstan, this study applies the same method to the cities of the country. The analysis uses indicators related to human capital, infrastructure, education, information technology, production, and other factors to assess the potential of each city. The clustering is performed using Single Linkage, Complete Linkage, and Ward’s methods. The results show that Almaty and Astana are the cities with the highest potential for becoming smart cities. Aktobe is identified as a city with distinctive features that may help or hinder its development as a smart city. The remaining cities are clustered into two groups, with one group having the potential to catch up and maintain the trend of developing smart cities, while the other group is less suitable for starting smart city projects and may require more investment per capita. The study highlights the deep regional inequality affecting the potential to successfully develop and manage smart cities in Kazakhstan. The analysis also reveals some limitations and challenges in the data and variables used, including the lack of data for some variables and the difficulties in "translating" some factors and indicators into quantitative variables for clustering. The study concludes that future research should address these challenges and consider clustering inside certain regions to focus on their unique features. The study recommends launching pilot projects in small cities, with the most successful practices then scaled and implemented in the core smart cities and possibly Aktobe, if it manages to use its advantages to compensate for risks. Overall, this study provides insights into the potential of smart city development in Kazakhstan and can inform policymakers in their efforts to support smart city projects in the country.

Smart Cities in Asia-Pacific – Regional Status and Key Case Studies – 2020 Update, a new Telecom Insider Report by GlobalData, provides an executive-level overview of the smart city market in Asia-Pacific (APAC). It delivers qualitative insights into the smart city market, smart city value chain, and ecosystem dynamics in the region. It also analyzes key trends and smart city projects being implemented in APAC. Read More

In 2024, Florianópolis was considered the leading smart city in Brazil, having received an index score of 37.53 points. Vitória ranked second that year, at 37.5 points. Meanwhile, Brazil's most populated city, São Paulo, received an index score of 36.83 points, following in third place.

This dataset contains data collected during a study "Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities" (Sustainable Cities and Society (SCS), vol.82, 103906) conducted by Martin Lnenicka (University of Pardubice), Anastasija Nikiforova (University of Tartu), Mariusz Luterek (University of Warsaw), Otmane Azeroual (German Centre for Higher Education Research and Science Studies), Dandison Ukpabi (University of Jyväskylä), Visvaldis Valtenbergs (University of Latvia), Renata Machova (University of Pardubice).

This study inspects smart cities’ data portals and assesses their compliance with transparency requirements for open (government) data by means of the expert assessment of 34 portals representing 22 smart cities, with 36 features.

It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and build sustainable, transparent, citizen-centered, and socially resilient open data-driven smart cities.

Purpose of the expert assessment The data in this dataset were collected in the result of the applying the developed benchmarking framework for assessing the compliance of open (government) data portals with the principles of transparency-by-design proposed by Lněnička and Nikiforova (2021)* to 34 portals that can be considered to be part of open data ecosystems in smart cities, thereby carrying out their assessment by experts in 36 features context, which allows to rank them and discuss their maturity levels and (4) based on the results of the assessment, defining the components and unique models that form the open data ecosystem in the smart city context.

Methodology Sample selection: the capitals of the Member States of the European Union and countries of the European Economic Area were selected to ensure a more coherent political and legal framework. They were mapped/cross-referenced with their rank in 5 smart city rankings: IESE Cities in Motion Index, Top 50 smart city governments (SCG), IMD smart city index (SCI), global cities index (GCI), and sustainable cities index (SCI). A purposive sampling method and systematic search for portals was then carried out to identify relevant websites for each city using two complementary techniques: browsing and searching. To evaluate the transparency maturity of data ecosystems in smart cities, we have used the transparency-by-design framework (Lněnička & Nikiforova, 2021)*. The benchmarking supposes the collection of quantitative data, which makes this task an acceptability task. A six-point Likert scale was applied for evaluating the portals. Each sub-dimension was supplied with its description to ensure the common understanding, a drop-down list to select the level at which the respondent (dis)agree, and a comment to be provided, which has not been mandatory. This formed a protocol to be fulfilled on every portal. Each sub-dimension/feature was assessed using a six-point Likert scale, where strong agreement is assessed with 6 points, while strong disagreement is represented by 1 point. Each website (portal) was evaluated by experts, where a person is considered to be an expert if a person works with open (government) data and data portals daily, i.e., it is the key part of their job, which can be public officials, researchers, and independent organizations. In other words, compliance with the expert profile according to the International Certification of Digital Literacy (ICDL) and its derivation proposed in Lněnička et al. (2021)* is expected to be met. When all individual protocols were collected, mean values and standard deviations (SD) were calculated, and if statistical contradictions/inconsistencies were found, reassessment took place to ensure individual consistency and interrater reliability among experts’ answers. *Lnenicka, M., & Nikiforova, A. (2021). Transparency-by-design: What is the role of open data portals?. Telematics and Informatics, 61, 101605 *Lněnička, M., Machova, R., Volejníková, J., Linhartová, V., Knezackova, R., & Hub, M. (2021). Enhancing transparency through open government data: the case of data portals and their features and capabilities. Online Information Review.

Test procedure (1) perform an assessment of each dimension using sub-dimensions, mapping out the achievement of each indicator (2) all sub-dimensions in one dimension are aggregated, and then the average value is calculated based on the number of sub-dimensions – the resulting average stands for a dimension value - eight values per portal (3) the average value from all dimensions are calculated and then mapped to the maturity level – this value of each portal is also used to rank the portals.

Description of the data in this data set Sheet#1 "comparison_overall" provides results by portal Sheet#2 "comparison_category" provides results by portal and category Sheet#3 "category_subcategory" provides list of categories and its elements

Format of the file .xls

Licenses or restrictions CC-BY

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Market Study, Growth, Analysis, Trends, Outlook, Share on Upcoming Smart Cities in India Forecast 2018

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The smart city market overview presents a positive picture for vendors in Europe. It will offer the highest growth opportunities for market vendors and encourage them to make significant investments to improve their presence in the region.

The smart city market report also provides several other key information including:

CAGR of the market during the forecast period 2020-2024
Detailed information on factors that will drive smart city market growth during the next five years
Precise estimation of the smart city market size and its contribution to the parent market
Accurate predictions on upcoming trends and changes in consumer behavior
The growth of the smart city market industry across APAC, Europe, MEA, North America, and South America
A thorough analysis of the market’s competitive landscape and detailed information on vendors
Comprehensive details of factors that will challenge the growth of smart city market vendors

Macquarie University and the City of Ryde Council installed pedestrian-counting sensors throughout Macquarie Park, as part of a project to ease congestion in the growing education, residential, retail and business hub.

The pedestrian counters monitored pedestrian flow and blockages, and the data will be used to improve safety and connectivity to transport services.

Historical transport, parking and pedestrian data are consolidated on an open-source platform to inform planners and local businesses across Macquarie Park.

A dashboard to view the data can be found at http://smartcity-api.science.mq.edu.au/

The raw data that makes up the dashboard is available below.

Smart Cities in Africa and Middle East – Regional Status and Key Case Studies, 2020 Update, a new Telecom Insider Report by GlobalData, provides an executive-level overview of the smart city market in Africa and the Middle East (AME). It delivers qualitative insights into the smart city market, smart city value chain, and ecosystem dynamics in the region. It also analyzes key trends and smart city projects being implemented in AME. Read More