Global Al in Smart Cities Market Size study, by Component (Hardware, Software, Services) by Application (Smart Mobility, Energy Management, Healthcare, Public Safety and Security, Waste Management, Environmental Monitoring, Water Management, Others) by Deployment Mode (Cloud-based, On-premises) by End-User (Government, Utilities, Transportation Companies, Healthcare Providers, Real Estate Developers, Others) and Regional Forecasts 2022-2032
Global Al in Smart Cities Market is valued at approximately USD XX billion in 2023 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2024-2032. Artificial Intelligence (AI) plays a transformative role in smart cities by enabling efficient management of resources, infrastructure, and services. Key applications include intelligent traffic management, energy optimization, public safety through predictive analytics, waste management automation, and personalized citizen services via chatbots. AI also aids in real-time air quality monitoring, disaster response planning, and fostering smart mobility solutions, such as autonomous vehicles. By analyzing vast data from IoT sensors and city systems, AI enhances decision-making, reduces operational costs, and improves overall urban sustainability.
The growth of Al in Smart Cities Market is driven by factors such as the rising adoption of IoT, rapid urbanization, and government initiatives to develop smart infrastructure. Among these, the integration of IoT with AI plays a pivotal role by enabling real-time data collection and analysis, leading to efficient traffic management, energy optimization, and enhanced public safety. Opportunities supporting this growth include the expansion of public-private partnerships fostering AI-based urban solutions and advancements in 5G networks, which enhance AI deployment capabilities. However, the market faces a significant restraint in the high implementation costs of AI systems, which create financial barriers for small and mid-sized municipalities. Despite these challenges, the continuous development of technologies and collaborative efforts between stakeholders are expected to propel the adoption of AI, driving smart city innovation and urban transformation.
The key regions considered for the Global Al in Smart Cities Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, the North American Al in Smart Cities market accounted for the largest share in the region. The growth of the AI in Smart Cities market in North America is driven by rising urbanization, increased government investments in smart city initiatives, and advancements in IoT and 5G technologies. Additionally, the need for efficient energy management, enhanced public safety, and sustainable infrastructure fuels AI adoption. Collaboration among tech companies further accelerates innovative solutions for urban challenges. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period.
Major market player included in this report are:IBM Corporation
Microsoft Corporation
Google LLC
Intel Corporation
Cisco Systems, Inc.
Siemens AG
Huawei Technologies Co., Ltd.
NVIDIA Corporation
Hitachi Vantara
NEC Corporation
The detailed segments and sub-segment of the market are explained below:By Component
Hardware
Software
Services
By Application
Smart Mobility
Energy Management
Healthcare
Public Safety and Security
Waste Management
Environmental Monitoring
Water Management
Others
By Deployment Mode
Cloud-based
On-premises
By End-User
Government
Utilities
Transportation Companies
Healthcare Providers
Real Estate Developers
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Middle East & Africa
Saudi Arabia
South Africa
RoMEA
Years considered for the study are as follows:
Historical year – 2022
Base year – 2023
Forecast period – 2024 to 2032
Key Takeaways:Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.