The AI In Smart Cities Market is being driven by Data privacy, security, and ethical concerns
The AI In Smart Cities Market is expected to grow at a CAGR of 30% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 109947.7 million. The global urbanization trend, characterized by an increasing population and expansion of urban centers, is placing immense pressure on limited resources and aging infrastructure in cities. This pressure is leading to interconnected challenges such as chronic traffic congestion, strained energy grids, inefficient waste management, and deteriorating water systems. Traditional management methods, which are often reactive and siloed, are insufficient to address the complexity and scale of these issues. Artificial Intelligence (AI) is emerging as a critical solution for smart cities, enabling proactive and integrated management of urban systems to enhance sustainability, resilience, and overall quality of life. Urban centers, as economic powerhouses, demand innovative and effective solutions to ensure their continued growth and vitality. AI in smart cities market is poised to grow significantly due to this pressing need.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
271 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 30% |
Market growth 2025-2029 |
USD 109947.7 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
28.3 |
Key countries |
US, Germany, UK, China, France, Canada, South Korea, Brazil, Japan, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of AI and smart cities, urban data platforms are pivotal, enabling efficient smart city governance through citizen-centric services, sustainable urban development, and open data initiatives. Ethical AI guidelines ensure data privacy regulations are met, while edge computing deployment and interoperability standards facilitate system integration. Performance monitoring tools, AI model training, and data security protocols ensure system reliability and data protection. City-wide sensor networks, smart city dashboards, and digital inclusion programs promote inclusivity and accessibility. Traffic flow optimization, energy consumption reduction, waste reduction strategies, and public transportation optimization contribute to environmental sustainability and economic development. Infrastructure modernization, social equity initiatives, and public health improvements complete the holistic approach to smart city development. Emergency notification systems, system integration strategies, and data security protocols ensure safety and security. Overall, AI plays a crucial role in enhancing city services, improving quality of life, and promoting sustainable development.
In the expanding IT software market, the smart city infrastructure sector represents a significant growth opportunity. This segment encompasses AI-powered traffic management solutions and predictive policing algorithms. The application software market, a subset of the IT software industry, focuses on developing specialized applications for businesses and consumers. According to Technavio, the global application software market size is determined by the consolidated revenue of companies providing various software applications, including cloud-based solutions, excluding those classified in the interactive home entertainment or systems software industries.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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