세계의 스마트 시티 시장 : 중점 분야별, 스마트 교통별, 스마트 빌딩별, 스마트 유틸리티별, 스마트 시민 서비스별 - 예측(-2030년)

The smart cities market is estimated at USD 699.7 billion in 2025 and is projected to reach USD 1,445.6 billion by 2030 at a CAGR of 15.6%. The smart cities market is driven by the growth of urban populations, aging infrastructure, and the need for sustainability. Smart cities enhance efficiency in transportation, energy, and public services while also addressing environmental concerns. The urgency of adapting to climate change and government mandates for carbon neutrality are accelerating the deployment of intelligent infrastructure. Additionally, urban challenges such as traffic congestion, water scarcity, and waste management are prompting targeted investments, which contribute to the purposeful and sustained growth of the market.

"By smart utility solution, distribution management is expected to register a higher CAGR during the forecast period."

The integration of advanced demand response management (DRM) systems is significantly improving utility distribution within the smart cities market. These systems facilitate the effective implementation of demand response (DR) programs across the commercial, industrial, and residential sectors. The widespread adoption of smart grid technologies-which include advanced metering infrastructure, automated distribution systems, and renewable energy integration-has become a key driver of growth in the utilities sector. Furthermore, the emergence of automated DR solutions, along with cost-effective deployment models such as Software-as-a-Service (SaaS) and cloud-based platforms, presents significant growth potential. These innovations streamline utility operations, reduce costs, and enhance efficiency, all contributing to the expansion of the distribution management segment in smart city infrastructure.

"By smart building solution, security & emergency management is expected to account for the largest market share in the smart cities market during the forecast period."

In urban environments, unexpected events such as natural disasters, terrorist attacks, and criminal activities pose significant challenges to public safety. To address these threats, cities need to implement comprehensive emergency management systems that can execute swift and effective response protocols. Proper management of security infrastructure is crucial for overseeing facility operations during crises. Advanced computerized emergency management solutions provide real-time monitoring, incident logging, and smooth coordination among emergency services. These systems enable authorities to respond quickly and effectively, minimizing damage and ensuring public safety. Leading global companies like Schneider Electric and ABB are at the forefront of developing smart emergency management solutions tailored to the evolving needs of urban centers. By leveraging advanced technology and extensive industry expertise, these providers play a critical role in enhancing the security, resilience, and operational readiness of smart cities around the world.

"Asia Pacific will register the highest growth rate during the forecast period."

The Asia Pacific smart cities market is set for significant growth in the coming years, with countries such as India, China, Japan, Australia, and New Zealand expected to experience accelerated development. This growth is fueled by rapid technological advancements and major infrastructure investments throughout the region. China, in particular, is emerging as a leader in smart city adoption, driven by its growing population and strong digital transformation initiatives. Key advancements in smart technologies, including robotics, big data analytics, and IoT-based infrastructure, are transforming urban environments in the Asia Pacific region. Additionally, the region is promoting collaborative efforts focused on developing low-carbon, sustainable smart city models, which encourage cross-border innovation and knowledge exchange. This strong regional commitment to enhancing smart urban infrastructure presents lucrative opportunities for vendors seeking to enter and expand within this rapidly evolving market.

Breakdown of Primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows.

• By Company Type: Tier 1 - 62%, Tier 2 - 23%, and Tier 3 - 15%
• By Designation: C-level -50%, D-level - 30%, and Others - 20%
• By Region: North America - 38%, Europe - 15%, Asia Pacific - 35%, Middle East & Africa - 7%, and Latin America - 5%

Major players in the smart cities market include Cisco (US), IBM (US), Siemens (Germany), Microsoft (US), Hitachi (Japan), Schneider Electric (France), Huawei (China), NEC (Japan), ABB (Switzerland), Sutherland (US), Ericsson (Sweden), Oracle (US), Fujitsu (Japan), Honeywell (US), Accenture (Ireland), Vodafone (UK), AWS (US), Thales (France), Signify (Netherlands), Motorola (US), TCS (India), AT&T (US), Nokia (Finland), Samsung (South Korea), SAP (Germany), TomTom (Netherlands), AppyWay (UK), Ketos (US), Gaia (India), TaKaDu (Israel), Zencity (Israel), Itron (US), IXDen (Israel), Landis+Gyr (Switzeralnd), and INRIX (US). These players have adopted various growth strategies, such as partnerships, agreements, collaborations, new product launches, enhancements, and acquisitions, to expand their smart cities market footprint.

Research Coverage

The study examines the market size of smart cities across various segments. Its goal is to estimate the market size and growth potential in areas such as smart transportation, smart buildings, smart utilities, smart citizen services, and different regions. Additionally, the study provides a detailed competitive analysis of leading market players, including their company profiles, key insights regarding their products and business offerings, recent developments, and market strategies.

Key Benefits of Buying Report

The report is designed to assist both, market leaders and new entrants by providing valuable information about the global smart cities market, including revenue figures and subsegments. It aims to help stakeholders understand the competitive landscape, enabling them to better position their businesses and develop effective go-to-market strategies. Additionally, the report will offer insights into the market dynamics, including key drivers, restraints, challenges, and opportunities, helping stakeholders grasp the current trends and conditions in the market.

The report provides insights on the following pointers:

• Analysis of key drivers (artificial intelligence and machine learning to accelerate development of smart cities, growing urbanization to drive adoption of smart city solutions, need for efficient management and utilization of resources, demand for fast and efficient transport, public safety concerns to accelerate smart city adoption), restraints (privacy and security concerns, high cost of implementation), opportunities (advancements in AI, cloud, IoT, and analytics technologies, rise of 5G, use of drones to enforce compliance during pandemics), and challenges (crafting future-ready smart cities for sustainable urban living, absence of appropriate infrastructure in emerging economies, lack of knowledge among people about smart cities, disruption in logistics and supply chains) influencing the growth of the smart cities market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the smart cities market
• Market Development: Comprehensive information about lucrative markets - the report analyzes the smart cities market across various regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the smart cities market.
• Competitive Assessment: In-depth assessment of market share, growth strategies and service offerings of leading players Cisco (US), IBM (US), Siemens (Germany), Microsoft (US), Hitachi (Japan), Schneider Electric (France), Huawei (China), NEC (Japan), ABB (Switzerland), Sutherland (US), Ericsson (Sweden), Oracle (US), Fujitsu (Japan), Honeywell (US), Accenture (Ireland), Vodafone (UK), AWS (US), Thales (France), Signify (Netherlands), Motorola (US), TCS (India), AT&T (US), Nokia (Finland), Samsung (South Korea), SAP (Germany), TomTom (Netherlands), AppyWay (UK), Ketos (US), Gaia (India), TaKaDu (Israel), Zencity (Israel), Itron (US), IXDen (Israel), Landis+Gyr (Switzeralnd), and INRIX (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
  • 1.3.3 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Primary interviews with experts
    • 2.1.2.2 Breakup of primary interviews
    • 2.1.2.3 Key insights from industry experts
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 TOP-DOWN APPROACH
    • 2.2.1.1 Supply-side analysis
  • 2.2.2 BOTTOM-UP APPROACH
    • 2.2.2.1 Demand-side analysis
• 2.3 DATA TRIANGULATION
• 2.4 MARKET FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN SMART CITIES MARKET
• 4.2 SMART CITIES MARKET, BY FOCUS AREA
• 4.3 SMART CITIES MARKET, BY SMART TRANSPORTATION SOLUTION
• 4.4 SMART CITIES MARKET, BY SMART CITIZEN SERVICES SOLUTION
• 4.5 NORTH AMERICAN SMART CITIES MARKET, BY FOCUS AREA AND COUNTRY
• 4.6 ASIA PACIFIC SMART CITIES MARKET, BY FOCUS AREA AND COUNTRY

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Growing urbanization across regions
    • 5.2.1.2 Use of artificial intelligence and machine learning in urban development
    • 5.2.1.3 Need for efficient management and utilization of resources
    • 5.2.1.4 Demand for fast and efficient transport
    • 5.2.1.5 Surveillance in interest of public safety
    • 5.2.1.6 Need for healthy environment with efficient energy consumption
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Privacy and security concerns
    • 5.2.2.2 High cost of implementation
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Advancements in AI, cloud, IoT, and analytics technologies
    • 5.2.3.2 Rise of 5G technology
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Achieving future-readiness of smart cities for sustainable urban living
    • 5.2.4.2 Absence of suitable infrastructure in emerging economies
    • 5.2.4.3 Limited awareness among people about smart cities
• 5.3 SMART CITIES MARKET: BRIEF HISTORY
• 5.4 ECOSYSTEM
• 5.5 CASE STUDY ANALYSIS
  • 5.5.1 SMART CITIES LLP TRANSFORMS CLOUD SERVICE DELIVERY WITH CISCO ACI AND TERRAFORM
  • 5.5.2 CORDOBA PROVINCE IMPROVES SAFETY OF MUNICIPALITIES WITH NEC'S CLOUD-BASED SHARED PLATFORM
  • 5.5.3 ABB HELPS FASTNED EXPAND ITS EV FAST CHARGE NETWORK ACROSS EUROPE
  • 5.5.4 HONEYWELL ENABLES EFFICIENT FLIGHT ROUTING FOR NEWARK LIBERTY INTERNATIONAL AIRPORT
  • 5.5.5 BANE NOR SELECTS THALES TO PROVIDE NEXT-GENERATION NATIONWIDE TRAFFIC MANAGEMENT SYSTEM
  • 5.5.6 CURTIN UNIVERSITY ADOPTS HITACHI IOT SOLUTION TO IMPLEMENT SMART CAMPUS
  • 5.5.7 HUAWEI HELPS QINGHAI-TIBET RAILWAY IMPROVE SURVEILLANCE EFFICIENCY
• 5.6 VALUE CHAIN ANALYSIS
• 5.7 TARIFF AND REGULATORY LANDSCAPE
  • 5.7.1 TARIFFS DATA (HSN: 85423100) - PROCESSORS AND CONTROLLERS
  • 5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.7.2.1 North America
      • 5.7.2.1.1 SCR 17: Artificial Intelligence Bill (California)
      • 5.7.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
      • 5.7.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
      • 5.7.2.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
    • 5.7.2.2 Europe
      • 5.7.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
      • 5.7.2.2.2 General Data Protection Regulation (Europe)
    • 5.7.2.3 Asia Pacific
      • 5.7.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
      • 5.7.2.3.2 The National AI Strategy (Singapore)
      • 5.7.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
    • 5.7.2.4 Middle East & Africa
      • 5.7.2.4.1 The National Strategy for Artificial Intelligence (UAE)
      • 5.7.2.4.2 The National Artificial Intelligence Strategy (Qatar)
      • 5.7.2.4.3 The AI Ethics Principles and Guidelines (Dubai)
    • 5.7.2.5 Latin America
      • 5.7.2.5.1 The Santiago Declaration (Chile)
      • 5.7.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
• 5.8 PRICING ANALYSIS
  • 5.8.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY FOCUS AREA
  • 5.8.2 INDICATIVE PRICING TREND OF SMART CITY SOLUTIONS
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 INTRODUCTION
  • 5.9.2 KEY TECHNOLOGIES
    • 5.9.2.1 AI and ML
    • 5.9.2.2 IoT
    • 5.9.2.3 Big data analytics
    • 5.9.2.4 5G
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Robotics
    • 5.9.3.2 Augmented intelligence
    • 5.9.3.3 Edge computing
  • 5.9.4 COMPLEMENTARY TECHNOLOGIES
    • 5.9.4.1 Augmented reality and virtual reality
    • 5.9.4.2 Smart grids
    • 5.9.4.3 Cybersecurity solutions
• 5.10 PATENT ANALYSIS
  • 5.10.1 METHODOLOGY
  • 5.10.2 SMART CITIES MARKET: KEY PATENTS (2018-2025)
    • 5.10.2.1 List of major patents
• 5.11 PORTER'S FIVE FORCES ANALYSIS
  • 5.11.1 THREAT OF NEW ENTRANTS
  • 5.11.2 THREAT OF SUBSTITUTES
  • 5.11.3 BARGAINING POWER OF BUYERS
  • 5.11.4 BARGAINING POWER OF SUPPLIERS
  • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.12 TRENDS AND DISRUPTIONS IMPACTING BUYERS
• 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.13.1 KEY STAKEHOLDERS ON BUYING PROCESS
  • 5.13.2 BUYING CRITERIA
• 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.15 TECHNOLOGY ROADMAP FOR SMART CITIES MARKET
  • 5.15.1 SHORT-TERM ROADMAP (2025-2026)
  • 5.15.2 MID-TERM ROADMAP (2027-2028)
  • 5.15.3 LONG-TERM ROADMAP (2029-2030)
• 5.16 BEST PRACTICES TO IMPLEMENT SMART CITIES MARKET
• 5.17 CURRENT AND EMERGING BUSINESS MODELS
• 5.18 TRADE ANALYSIS
  • 5.18.1 EXPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS AND PARTS THEREOF
  • 5.18.2 IMPORT SCENARIO OF ELECTRONIC INTEGRATED CIRCUITS AND PARTS THEREOF
• 5.19 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN SMART CITIES
• 5.20 IMPACT OF AI/GENERATIVE AI ON SMART CITIES MARKET
  • 5.20.1 USE CASES OF GENERATIVE AI IN SMART CITIES
• 5.21 INVESTMENT AND FUNDING SCENARIO (2024)
• 5.22 IMPACT OF 2025 US TARIFF-SMART CITIES MARKET
  • 5.22.1 INTRODUCTION
  • 5.22.2 KEY TARIFF RATES
  • 5.22.3 PRICE IMPACT ANALYSIS
    • 5.22.3.1 Strategic shifts and emerging trends
  • 5.22.4 IMPACT ON COUNTRY/REGION
    • 5.22.4.1 US
    • 5.22.4.2 China
    • 5.22.4.3 Europe
    • 5.22.4.4 Asia Pacific (excluding China)
  • 5.22.5 IMPACT ON END USERS
    • 5.22.5.1 City governments and municipal authorities
    • 5.22.5.2 Citizens and residents
    • 5.22.5.3 Utility companies and infrastructure providers
    • 5.22.5.4 Transportation authorities and mobility providers

6 SMART CITIES MARKET, BY FOCUS AREA

• 6.1 INTRODUCTION

7 SMART CITIES MARKET, BY SMART TRANSPORTATION

• 7.1 INTRODUCTION
  • 7.1.1 SMART TRANSPORTATION: MARKET DRIVERS
• 7.2 OFFERING
  • 7.2.1 INCREASING PRESENCE OF SMART TECHNOLOGIES IN SMART TRANSPORTATION
  • 7.2.2 SOLUTIONS
    • 7.2.2.1 Smart ticketing
    • 7.2.2.2 Traffic management
      • 7.2.2.2.1 Parking management
      • 7.2.2.2.2 Traffic surveillance
      • 7.2.2.2.3 Others
    • 7.2.2.3 Passenger information systems
    • 7.2.2.4 Connected logistics
    • 7.2.2.5 Other smart transportation solutions
  • 7.2.3 SERVICES
    • 7.2.3.1 Consulting
    • 7.2.3.2 Deployment & integration
    • 7.2.3.3 Infrastructure monitoring & management
• 7.3 TYPE
  • 7.3.1 RAPID INCREASE IN URBAN DEMOGRAPHICS AND GROWING ENVIRONMENTAL CONCERNS
  • 7.3.2 ROADWAYS
    • 7.3.2.1 Use cases
      • 7.3.2.1.1 AI-driven traffic signal control system
      • 7.3.2.1.2 City-wide smart parking management platform
      • 7.3.2.1.3 Integrated electronic toll collection
      • 7.3.2.1.4 Other use cases
  • 7.3.3 RAILWAYS
    • 7.3.3.1 Use cases
      • 7.3.3.1.1 Real-time train scheduling and passenger flow analytics
      • 7.3.3.1.2 IoT-enabled smart rail signaling systems
      • 7.3.3.1.3 Facial recognition-based automated fare collection
      • 7.3.3.1.4 Other use cases
  • 7.3.4 AIRWAYS
    • 7.3.4.1 Use cases
      • 7.3.4.1.1 Biometric passenger authentication for contactless boarding
      • 7.3.4.1.2 AI-enhanced surveillance for airport perimeter security
      • 7.3.4.1.3 RFID-based smart baggage handling and tracking system
      • 7.3.4.1.4 Other use cases

8 SMART CITIES MARKET, BY SMART BUILDING

• 8.1 INTRODUCTION
  • 8.1.1 SMART BUILDING: MARKET DRIVERS
• 8.2 OFFERING
  • 8.2.1 INCREASING DEMAND FOR ENERGY-SAVING SOLUTIONS AND SERVICES
  • 8.2.2 SOLUTIONS
    • 8.2.2.1 Building infrastructure management
      • 8.2.2.1.1 Building parking management system
      • 8.2.2.1.2 Smart water management system
      • 8.2.2.1.3 Elevator & escalator management systems
    • 8.2.2.2 Security & emergency management
      • 8.2.2.2.1 Access control systems
      • 8.2.2.2.2 Video surveillance systems
      • 8.2.2.2.3 Safety systems
    • 8.2.2.3 Energy management
      • 8.2.2.3.1 HVAC control systems
      • 8.2.2.3.2 Lighting systems
    • 8.2.2.4 Network management
    • 8.2.2.5 Integrated workplace management system
  • 8.2.3 SERVICES
    • 8.2.3.1 Consulting
    • 8.2.3.2 Deployment & integration
    • 8.2.3.3 Infrastructure monitoring & management
• 8.3 TYPE
  • 8.3.1 INCREASED NEED FOR ENERGY-EFFICIENT LIGHTING AND HVAC CONTROL SYSTEMS
  • 8.3.2 RESIDENTIAL
    • 8.3.2.1 Use cases
      • 8.3.2.1.1 Smart HVAC and energy optimization system for homes
      • 8.3.2.1.2 IoT-enabled video surveillance and access control
      • 8.3.2.1.3 Leak detection and water usage monitoring in apartments
      • 8.3.2.1.4 Other use cases
  • 8.3.3 COMMERCIAL
    • 8.3.3.1 Use cases
      • 8.3.3.1.1 Automated BMS integration
      • 8.3.3.1.2 AI-based space optimization and occupancy analytics
      • 8.3.3.1.3 Smart access and visitor management system
      • 8.3.3.1.4 Other use cases
  • 8.3.4 INDUSTRIAL
    • 8.3.4.1 Use cases
      • 8.3.4.1.1 Industrial energy and resource monitoring system
      • 8.3.4.1.2 IoT-based predictive maintenance for factory equipment
      • 8.3.4.1.3 Smart access control for sensitive industrial zones
      • 8.3.4.1.4 Other use cases

9 SMART CITIES MARKET, BY SMART UTILITY

• 9.1 INTRODUCTION
  • 9.1.1 SMART UTILITIES: MARKET DRIVERS
• 9.2 OFFERING
  • 9.2.1 DIGITAL TRANSFORMATION IN UTILITY SECTOR TO DRIVE MARKET
  • 9.2.2 SOLUTIONS
    • 9.2.2.1 Advanced metering infrastructure
    • 9.2.2.2 Meter data management
      • 9.2.2.2.1 Meter data analytics
      • 9.2.2.2.2 Smart meters
      • 9.2.2.2.3 Other solutions
    • 9.2.2.3 Distribution management system
    • 9.2.2.4 Substation automation
    • 9.2.2.5 Other smart utility solutions
  • 9.2.3 SERVICES
    • 9.2.3.1 Consulting
    • 9.2.3.2 Deployment & integration
    • 9.2.3.3 Infrastructure monitoring & management
• 9.3 TYPE
  • 9.3.1 ENERGY
    • 9.3.1.1 Use cases
      • 9.3.1.1.1 Real-time load balancing and outage prediction
      • 9.3.1.1.2 Smart meters with dynamic pricing alerts
      • 9.3.1.1.3 Solar/Wind analytics into urban energy mix
      • 9.3.1.1.4 Other use cases
  • 9.3.2 GAS
    • 9.3.2.1 Use cases
      • 9.3.2.1.1 Early alerts in residential and industrial areas
      • 9.3.2.1.2 Usage-based billing and anomaly alerts
      • 9.3.2.1.3 AI models for usage prediction
      • 9.3.2.1.4 Other use cases
  • 9.3.3 WATER
    • 9.3.3.1 Use cases
      • 9.3.3.1.1 Soil moisture and weather-based watering
      • 9.3.3.1.2 pH, turbidity, contamination detection
      • 9.3.3.1.3 Underground pipe diagnostics
      • 9.3.3.1.4 Other use cases
  • 9.3.4 OTHER TYPES
    • 9.3.4.1 Use cases
      • 9.3.4.1.1 Bin fill monitoring
      • 9.3.4.1.2 Flood and earthquake alert networks
      • 9.3.4.1.3 Noise, pollution, and radiation sensors
      • 9.3.4.1.4 Other use cases

10 SMART CITIES MARKET, BY SMART CITIZEN SERVICE

• 10.1 INTRODUCTION
  • 10.1.1 SMART CITIZEN SERVICE: MARKET DRIVERS
• 10.2 SMART HEALTHCARE
  • 10.2.1 GROWING DIGITALIZATION, INCREASING CONNECTIVITY, AND INNOVATION TO DRIVE MARKET
  • 10.2.2 MEDICAL DEVICES
  • 10.2.3 SYSTEMS & SOFTWARE
  • 10.2.4 SERVICES
    • 10.2.4.1 Use cases
      • 10.2.4.1.1 Predictive analytics in patient care
      • 10.2.4.1.2 Integration of telemedicine into public health infrastructure
      • 10.2.4.1.3 Optimized hospital resource management
      • 10.2.4.1.4 Other use cases
• 10.3 SMART EDUCATION
  • 10.3.1 RISE IN ADOPTION OF MOBILE DEVICES AND USE OF IOT TO ENHANCE LEARNING EXPERIENCE
  • 10.3.2 SOLUTIONS
  • 10.3.3 SERVICES
    • 10.3.3.1 Use cases
      • 10.3.3.1.1 Digital classrooms and e-learning platforms
      • 10.3.3.1.2 Enhanced campus security with smart surveillance
      • 10.3.3.1.3 Data leveraged for academic performance insights
      • 10.3.3.1.4 Other use cases
• 10.4 SMART PUBLIC SAFETY
  • 10.4.1 RISE IN SECURITY BREACHES TO DRIVE DEMAND FOR SMART PUBLIC SAFETY SOLUTIONS
  • 10.4.2 SOLUTIONS
  • 10.4.3 SERVICES
    • 10.4.3.1 Use cases
      • 10.4.3.1.1 Real-time crime monitoring systems
      • 10.4.3.1.2 AI for predictive policing and risk assessment
      • 10.4.3.1.3 Integration of emergency services with IoT devices
      • 10.4.3.1.4 Other use cases
• 10.5 SMART STREET LIGHTING
  • 10.5.1 SMART PARKING AND TRAFFIC VIDEO SURVEILLANCE TO DRIVE DEMAND FOR SOLUTIONS
  • 10.5.2 SOLUTIONS
  • 10.5.3 SERVICES
    • 10.5.3.1 Use cases
      • 10.5.3.1.1 Centralized dashboard for monitoring city-wide energy use
      • 10.5.3.1.2 Brightness adjustment based on pedestrian or vehicular movement
      • 10.5.3.1.3 Automated adjustments based on day length, events, or festivals
      • 10.5.3.1.4 Other use cases
• 10.6 EGOVERNANCE
  • 10.6.1 ENHANCING TRANSPARENCY AND DECREASING BURDEN OF KEEPING PAPER RECORDS
  • 10.6.2 SOLUTIONS
  • 10.6.3 SERVICES
    • 10.6.3.1 Use cases
      • 10.6.3.1.1 Transparent, secure voting systems for local governance
      • 10.6.3.1.2 Online application and instant approvals for business and personal licenses
      • 10.6.3.1.3 AI assistants for 24/7 query support and service navigation
      • 10.6.3.1.4 Other use cases

11 SMART CITIES MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: SMART CITIES MARKET DRIVERS
  • 11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 11.2.3 US
    • 11.2.3.1 Market driven by federal investment, AI innovation, and leadership from tech sector
  • 11.2.4 CANADA
    • 11.2.4.1 Increased investments in industrial development to boost market growth
• 11.3 EUROPE
  • 11.3.1 EUROPE: SMART CITIES MARKET DRIVERS
  • 11.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 11.3.3 UK
    • 11.3.3.1 High adoption rate of smart technologies to boost growth
  • 11.3.4 GERMANY
    • 11.3.4.1 Increasing adoption of smart citizen services-related technologies to drive market
  • 11.3.5 FRANCE
    • 11.3.5.1 Strong hold on infrastructure development to drive market
  • 11.3.6 SPAIN
    • 11.3.6.1 Smart city expansion accelerated by smart governance reforms and investments in sustainable mobility
  • 11.3.7 ITALY
    • 11.3.7.1 High adoption of latest technologies to boost market growth
  • 11.3.8 NORDIC COUNTRIES
    • 11.3.8.1 Promotion of sustainable development with smart cities solutions to drive market
  • 11.3.9 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: SMART CITIES MARKET DRIVERS
  • 11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 11.4.3 CHINA
    • 11.4.3.1 Centralized planning, AI-based infrastructure, and extensive government investment to drive growth
  • 11.4.4 JAPAN
    • 11.4.4.1 Smart urban development powered by robotics, 5G innovation, and national sustainability targets
  • 11.4.5 SOUTH KOREA
    • 11.4.5.1 5G rollout, IoT integration, and proactive government planning to boost growth
  • 11.4.6 INDIA
    • 11.4.6.1 National government missions, digital infrastructure, and local startup participation - key drivers
  • 11.4.7 AUSTRALIA & NEW ZEALAND
    • 11.4.7.1 Urban innovation enabled by policy reforms, open data strategies, and citizen-focused design
  • 11.4.8 SOUTHEAST ASIA
    • 11.4.8.1 Smart city innovation accelerated through regional cooperation and digital strategies
  • 11.4.9 REST OF ASIA PACIFIC
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: SMART CITIES MARKET DRIVERS
  • 11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 11.5.3 GCC
    • 11.5.3.1 UAE
      • 11.5.3.1.1 Market shaped by visionary planning, innovation zones, and adaptive regulations
    • 11.5.3.2 Saudi Arabia
      • 11.5.3.2.1 Smart city growth powered by Vision 2030, mega-project investments, and state-led funding.
    • 11.5.3.3 Other GCC Countries
  • 11.5.4 SOUTH AFRICA
    • 11.5.4.1 Government planning models, innovation clusters, and support for fourth industrial revolution technologies to drive market
  • 11.5.5 REST OF MIDDLE EAST & AFRICA
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 11.6.2 BRAZIL
    • 11.6.2.1 Fueling smart growth with national strategy and urban tech ecosystems
  • 11.6.3 MEXICO
    • 11.6.3.1 Local innovation through digital policies and city-led pilot programs
  • 11.6.4 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

• 12.1 INTRODUCTION
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY SMART CITIES MARKET VENDORS
• 12.3 REVENUE ANALYSIS
• 12.4 MARKET SHARE ANALYSIS
• 12.5 MARKET RANKING ANALYSIS
• 12.6 COMPANY VALUATION AND FINANCIAL METRICS
• 12.7 BRAND/PRODUCT COMPARISON
• 12.8 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2025
  • 12.8.1 STARS
  • 12.8.2 EMERGING LEADERS
  • 12.8.3 PERVASIVE PLAYERS
  • 12.8.4 PARTICIPANTS
  • 12.8.5 COMPANY FOOTPRINT: KEY PLAYERS, 2025
    • 12.8.5.1 Company footprint
    • 12.8.5.2 Regional footprint
    • 12.8.5.3 Focus area footprint
    • 12.8.5.4 Offering footprint
• 12.9 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2025
  • 12.9.1 PROGRESSIVE COMPANIES
  • 12.9.2 RESPONSIVE COMPANIES
  • 12.9.3 DYNAMIC COMPANIES
  • 12.9.4 STARTING BLOCKS
  • 12.9.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2025
    • 12.9.5.1 Key startups/SMEs
    • 12.9.5.2 Competitive benchmarking of key startups/SMEs
• 12.10 COMPETITIVE SCENARIOS & TRENDS
  • 12.10.1 PRODUCT LAUNCHES & ENHANCEMENTS
  • 12.10.2 DEALS

13 COMPANY PROFILES

• 13.1 MAJOR PLAYERS
  • 13.1.1 SIEMENS
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Product launches
      • 13.1.1.3.2 Deals
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Right to win
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses and competitive threats
  • 13.1.2 CISCO
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Deals
    • 13.1.2.4 MnM View
      • 13.1.2.4.1 Right to win
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses and competitive threats
  • 13.1.3 HITACHI
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Deals
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Right to win
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses and competitive threats
  • 13.1.4 HUAWEI
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Product launches
      • 13.1.4.3.2 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Right to win
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses and competitive threats
  • 13.1.5 MICROSOFT
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 Recent developments
      • 13.1.5.3.1 Deals
    • 13.1.5.4 MnM view
      • 13.1.5.4.1 Right to win
      • 13.1.5.4.2 Strategic choices
      • 13.1.5.4.3 Weaknesses and competitive threats
  • 13.1.6 SCHNEIDER ELECTRIC
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Deals
  • 13.1.7 IBM
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Deals
  • 13.1.8 NEC CORPORATION
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
    • 13.1.8.3 Recent developments
      • 13.1.8.3.1 Product launches
      • 13.1.8.3.2 Deals
  • 13.1.9 ERICSSON
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
    • 13.1.9.3 Recent developments
      • 13.1.9.3.1 Deals
  • 13.1.10 ABB
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Deals
• 13.2 OTHER PLAYERS
  • 13.2.1 SUTHERLAND
  • 13.2.2 ORACLE
  • 13.2.3 FUJITSU
  • 13.2.4 HONEYWELL
  • 13.2.5 ACCENTURE
  • 13.2.6 VODAFONE
  • 13.2.7 ITRON
  • 13.2.8 AWS
  • 13.2.9 THALES
  • 13.2.10 SIGNIFY HOLDING
  • 13.2.11 KAPSCH TRAFFICCOM
  • 13.2.12 MOTOROLA
  • 13.2.13 TCS
  • 13.2.14 AT&T
  • 13.2.15 NOKIA
  • 13.2.16 SAMSUNG
  • 13.2.17 SAP
  • 13.2.18 TOMTOM
• 13.3 STARTUPS/SMES
  • 13.3.1 APPYWAY
  • 13.3.2 KETOS
  • 13.3.3 GAIA
  • 13.3.4 INRIX
  • 13.3.5 LANDIS+GYR
  • 13.3.6 TAKADU
  • 13.3.7 ZENCITY
  • 13.3.8 IXDEN

14 ADJACENT/RELATED MARKETS

• 14.1 INTRODUCTION
  • 14.1.1 LIMITATIONS
• 14.2 SMART TRANSPORTATION MARKET - GLOBAL FORECAST TO 2029
  • 14.2.1 MARKET DEFINITION
  • 14.2.2 MARKET OVERVIEW
    • 14.2.2.1 Smart transportation market, by transportation mode
    • 14.2.2.2 Smart transportation market, by end user
    • 14.2.2.3 Smart transportation market, by region
• 14.3 SMART BUILDINGS MARKET - GLOBAL FORECAST TO 2026
  • 14.3.1 MARKET DEFINITION
  • 14.3.2 MARKET OVERVIEW
    • 14.3.2.1 Smart buildings market, by component
    • 14.3.2.2 Smart buildings market, by solution
    • 14.3.2.3 Smart buildings market, by building type
    • 14.3.2.4 Smart buildings market, by region

15 APPENDIX

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS