Smart Cities Market - By Technology (Internet of Things, Big Data Analytics, Cloud Computing, Artificial Intelligence), By Smart Mobility, By Smart Healthcare, By Smart Building, By Smart Utilities, By Smart Governance & Forecast 2024 - 2032

Smart Cities Market - By Technology (Internet of Things, Big Data Analytics, Cloud Computing, Artificial Intelligence), By Smart Mobility, By Smart Healthcare, By Smart Building, By Smart Utilities, By Smart Governance & Forecast 2024 - 2032


Global Smart Cities Market will grow at 16% CAGR during 2024-2032, driven by government initiatives and regulations, technological advancements, and demand for efficient energy management.

Today, more than half of the global population resides in urban areas, marking a pivotal shift in human habitation patterns. Projections by the World Bank indicate that by 2045, the world's urban population will soar by 1.5 times, reaching a staggering 6 billion. This relentless march toward urbanization presents a pressing challenge for city planners and policymakers to ensure sustainable and efficient urban development. The burgeoning urban populations necessitate innovative solutions to address the complex demands of urban living. Smart city technologies emerge as a beacon of hope, offering transformative solutions to enhance the quality of life, optimize resource utilization, and mitigate the challenges posed by rapid urbanization. With urbanization trends showing no signs of slowing down, the imperative for smart city solutions becomes increasingly pronounced, driving significant growth in the global smart cities market.

The Smart Cities industry is classified based on technology, smart mobility, smart healthcare, smart building, smart utilities, smart governance, and region.

Artificial Intelligence (AI) segment will grow rapidly till 2032 as it enables cities to analyze vast amounts of data collected from various sources, including sensors, IoT devices, and social media, to optimize operations and enhance citizen services. AI-powered systems facilitate predictive maintenance of critical infrastructure, improve traffic management through real-time data analysis, and enhance public safety by detecting anomalies and potential security threats. As AI continues to evolve, its integration into smart city ecosystems is expected to unlock new possibilities for efficiency, sustainability, and quality of life.

Telemedicine segment will expand at a steady pace by 2032, as it leverages digital communication technologies to enable remote diagnosis, monitoring, and treatment, thereby reducing the burden on traditional healthcare systems and improving accessibility to healthcare services for urban residents. With the proliferation of smartphones and high-speed internet connectivity, telemedicine platforms are becoming accessible, empowering individuals to receive medical consultations and advice from healthcare professionals regardless of their geographical location. The integration of telemedicine into smart city initiatives not only enhances healthcare accessibility but also contributes to the overall well-being of urban populations.

Asia Pacific Smart Cities industry will grow at a decent rate till 2032, fueled by rapid urbanization, increasing government investments, and advancements in technology. Countries such as China, India, and Singapore are leading the charge in deploying smart city solutions to address urban challenges and improve quality of life. In China, initiatives such as the Smart City 2.0 plan are driving the adoption of IoT, AI, and big data analytics to create efficient, sustainable, and livable cities. Similarly, India's Smart Cities Mission aims to transform 100 cities into citizen-friendly and sustainable urban centers through the integration of technology and innovation.


Chapter 1 Methodology & Scope
1.1 Market scope & definitions
1.2 Base estimates & calculations
1.3 Forecast calculations
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 Smart cities industry 360 degree synopsis, 2018 - 2032
Chapter 3 Industry Insights
3.1 Industry ecosystem analysis
3.2 Profit margin analysis
3.3 Technology & innovation landscape
3.4 Patent analysis
3.5 Key news & initiatives
3.6 Regulatory landscape
3.7 Impact forces
3.7.1 Growth drivers
3.7.1.1 Rising urbanization and population growth
3.7.1.2 Growing adoption of enabling technologies
3.7.1.3 Increasing focus on sustainability and environmental protection
3.7.1.4 Government initiatives and public-private partnerships
3.7.1.5 Growing demand for improved quality of life
3.7.2 Industry pitfalls & challenges
3.7.2.1 Cybersecurity vulnerabilities
3.7.2.2 Funding and cost considerations
3.8 Growth potential analysis
3.9 Porter's analysis
3.9.1 Supplier power
3.9.2 Buyer power
3.9.3 Threat of new entrants
3.9.4 Threat of substitutes
3.9.5 Industry rivalry
3.10 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix
Chapter 5 Market Estimates & Forecast, By Technology, 2018 - 2032 (USD Billion)
5.1 Key trends
5.2 Internet of Things (IoT)
5.3 Big data analytics
5.4 Cloud computing
5.5 Artificial Intelligence (AI)
Chapter 6 Market Estimates & Forecast, By Smart Mobility, 2018 - 2032 (USD Billion)
6.1 Key trends
6.2 Urban mobility solutions
6.3 Traffic surveillance & management
6.4 Parking management
6.5 Connected logistics
6.6 Others
Chapter 7 Market Estimates & Forecast, By Smart Healthcare, 2018 - 2032 (USD Billion)
7.1 Key trends
7.2 Telemedicine
7.3 Remote healthcare
7.4 Smart hospitals
7.5 Others
Chapter 8 Market Estimates & Forecast, By Smart Building, 2018 - 2032 (USD Billion)
8.1 Key trends
8.2 Building Energy Management Systems (BEMS)
8.3 Smart homes
8.4 Smart grid
8.5 Safety & security management
8.6 Others
Chapter 9 Market Estimates & Forecast, By Smart Utilities, 2018 - 2032 (USD Billion)
9.1 Key trends
9.2 Energy & water management
9.3 Waste management
9.4 Meter data management
9.5 Distribution management system
9.6 Others
Chapter 10 Market Estimates & Forecast, By Smart Governance, 2018 - 2032 (USD Billion)
10.1 Key trends
10.2 City surveillance
10.3 E-governance
10.4 Smart lighting
10.5 Smart infrastructure
Chapter 11 Market Estimates & Forecast, By Region, 2018 - 2032 (USD Billion)
11.1 Key trends
11.2 North America
11.2.1 U.S.
11.2.2 Canada
11.3 Europe
11.3.1 UK
11.3.2 Germany
11.3.3 France
11.3.4 Italy
11.3.5 Spain
11.3.6 Russia
11.3.7 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.2 India
11.4.3 Japan
11.4.4 South Korea
11.4.5 ANZ
11.4.6 Rest of Asia Pacific
11.5 Latin America
11.5.1 Brazil
11.5.2 Mexico
11.5.3 Rest of Latin America
11.6 MEA
11.6.1 UAE
11.6.2 Saudi Arabia
11.6.3 South Africa
11.6.4 Rest of MEA
Chapter 12 Company Profiles
12.1 ABB
12.2 Honeywell International Inc.
12.3 IBM
12.4 Cisco Systems, Inc.
12.5 Ericsson
12.6 General Electric
12.7 AGT International
12.8 AVEVA Group plc.
12.9 Itron Inc.
12.10 Huawei Technologies Co., Ltd.
12.11 Microsoft Corporation
12.12 Oracle Corporation
12.13 Osram GmbH
12.14 Schneider Electric SE
12.15 Siemens AG
12.16 Verizon

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