Smart Cities Market by Focus Area, Smart Transportation, Smart Buildings, Smart Utilities, Smart Citizen Services (Public Safety, Smart Healthcare, Smart Education, Smart Lighting, and E-Governance) - Global Forecast to 2030
세계의 스마트 시티 시장 규모는 2025년에 추정 6,997억 달러여, 2030년까지 1조 4,456억 달러에 이를 것으로 예측되어 CAGR로 15.6%의 성장이 전망됩니다.
시장 성장 촉진요인은 도시 인구 증가, 인프라 노후화, 지속가능성에 대한 요구입니다. 스마트시티는 교통, 에너지, 공공서비스의 효율성을 높이고 환경 문제도 해결합니다. 기후 변화에 대한 적응이 시급하고, 정부의 탄소중립 의무화로 인해 지능형 인프라 구축이 가속화되고 있습니다. 또한, 교통 혼잡, 물 부족, 폐기물 관리와 같은 도시 문제는 집중적인 투자를 유도하고 있으며, 이는 시장의 지속 가능한 성장에 기여하고 있습니다.
| 조사 범위 |
| 조사 대상 연도 |
2019-2030년 |
| 기준 연도 |
2024년 |
| 예측 기간 |
2025-2030년 |
| 단위 |
10억 달러 |
| 부문 |
중점 분야, 스마트 교통, 스마트 빌딩, 스마트 유틸리티, 스마트 시민 서비스 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
"스마트 유틸리티 솔루션별로는 배전 관리가 예측 기간 동안 높은 CAGR을 나타낼 것으로 예측됩니다."
첨단 수요반응관리(DRM) 시스템의 통합은 스마트시티 시장에서 유틸리티의 전력 분배를 크게 개선하고 있습니다. 이러한 시스템은 상업, 산업, 주거 부문 전반에 걸쳐 수요반응(DR) 프로그램의 효과적인 실행을 촉진합니다. 첨단 계측 인프라, 자동 배전 시스템, 재생 가능 에너지의 통합을 포함한 스마트 그리드 기술의 보급은 유틸리티 부문의 성장을 가속하는 주요 요인이 되고 있습니다. 또한, SaaS(Software-as-a-Service) 및 클라우드 기반 플랫폼과 같은 비용 효율적인 배포 모델과 함께 자동 DR 솔루션의 등장은 큰 성장 잠재력을 보여주고 있습니다. 이러한 기술 혁신은 유틸리티 경영을 간소화하고, 비용을 절감하며, 효율성을 높이고, 스마트시티 인프라에서 배전 관리 부문을 확대하는 데 기여하고 있습니다.
"스마트빌딩 솔루션별로는 보안 및 위기관리가 예측 기간 동안 스마트시티 시장에서 가장 큰 시장 점유율을 차지할 것으로 예측됩니다."
도시 환경에서는 자연재해, 테러 공격, 범죄 행위와 같은 예기치 못한 사건들이 치안에 큰 도전을 가져옵니다. 이러한 위협에 대응하기 위해 도시는 신속하고 효과적인 대응 프로토콜을 실행할 수 있는 종합적인 위기관리 시스템을 도입해야 합니다. 보안 인프라를 적절히 관리하는 것은 위기 발생 시 시설 관리를 감독하는 데 있어 매우 중요합니다. 첨단 전산화된 위기관리 솔루션은 실시간 모니터링, 사건 기록, 긴급 서비스 간의 원활한 조정을 제공합니다. 이러한 시스템을 통해 당국은 신속하고 효과적으로 대응하고 피해를 최소화하며 공공 안전을 보장할 수 있으며, 슈나이더 일렉트릭과 ABB와 같은 주요 세계 기업들은 도심의 진화하는 요구에 맞는 스마트 위기 관리 솔루션 개발의 최전선에 서 있습니다. 개발의 최전선에 있습니다. 이들 업체는 첨단 기술과 산업 분야의 광범위한 전문 지식을 활용하여 전 세계 스마트시티의 보안, 복원력, 운영 대응력을 강화하는 데 중요한 역할을 하고 있습니다.
"아시아태평양이 예측 기간 동안 가장 높은 성장률을 나타낼 것입니다."
아시아태평양의 스마트시티 시장은 인도, 중국, 일본, 일본, 호주, 뉴질랜드 등의 국가들이 가속적으로 성장할 것으로 예상되며, 향후 몇 년 동안 크게 성장할 것으로 전망됩니다. 이러한 성장의 촉진요인은 지역 전반의 급속한 기술 발전과 대규모 인프라 투자입니다. 특히 중국은 인구 증가와 강력한 디지털 전환 활동으로 인해 스마트시티 도입의 선두주자로 부상하고 있습니다. 로봇공학, 빅데이터 분석, IoT 기반 인프라 등 스마트 기술의 중요한 발전은 아시아태평양의 도시 환경을 변화시키고 있습니다. 또한, 이 지역은 저탄소 및 지속 가능한 스마트시티 모델 개발에 초점을 맞춘 공동 활동을 추진하고 있으며, 국경을 초월한 혁신과 지식 교류를 장려하고 있습니다. 스마트시티 인프라 강화에 대한 이 지역의 강력한 노력은 빠르게 진화하는 이 시장에 진입하고 확장하려는 벤더들에게 유리한 기회를 제공합니다.
세계의 스마트시티(Smart City) 시장에 대해 조사 분석했으며, 주요 촉진요인과 저해요인, 경쟁 구도, 향후 동향 등의 정보를 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 주요 조사 결과
- 스마트 시티 시장 주요 기업에 있어서 매력적인 기회
- 스마트 시티 시장 : 중점 분야별
- 스마트 시티 시장, 스마트 교통 솔루션
- 스마트 시티 시장, 스마트 시민 서비스 솔루션
- 북미의 스마트 시티 시장 : 중점 분야별, 국가별
- 아시아태평양의 스마트 시티 시장 : 중점 분야별, 국가별
제5장 시장 개요와 산업 동향
- 서론
- 시장 역학
- 스마트 시티 시장 : 간략한 역사
- 에코시스템
- 사례 연구 분석
- 밸류체인 분석
- 관세 및 규제 상황
- 관세 데이터(HSN : 85423100) - 프로세서, 컨트롤러
- 규제기관, 정부기관, 기타 조직
- 가격 분석
- 주요 기업의 평균 판매 가격 동향 : 중점 분야별
- 스마트 시티 솔루션 참고 가격 동향
- 기술 분석
- 특허 분석
- 조사 방법
- 스마트 시티 시장 : 주요 특허(2018년-2025년)
- Porter의 Five Forces 분석
- 바이어에 영향을 미치는 동향과 혼란
- 주요 이해관계자와 구입 기준
- 주요 컨퍼런스 및 이벤트(2025년-2026년)
- 스마트 시티 시장 기술 로드맵
- 단기 로드맵(2025년-2026년)
- 중기 로드맵(2027년-2028년)
- 장기 로드맵(2029년-2030년)
- 스마트 시티 시장을 구현하기 위한 베스트 프랙티스
- 현재 비즈니스 모델과 새로운 비즈니스 모델
- 무역 분석
- 전자 IC와 부품 수출 시나리오
- 전자 IC와 부품 수입 시나리오
- 스마트 시티에서 사용되는 툴, 프레임워크, 기법
- 스마트 시티 시장에 대한 AI/생성형 AI의 영향
- 투자 및 자금조달 시나리오(2024년)
- 스마트 시티 시장에 대한 2025년 미국 관세의 영향
- 서론
- 주요 관세율
- 가격 영향 분석
- 국가/지역에 대한 영향
- 최종사용자에 대한 영향
제6장 스마트 시티 시장 : 중점 분야별
제7장 스마트 시티 시장 : 스마트 교통별
제8장 스마트 시티 시장 : 스마트 빌딩별
제9장 스마트 시티 시장 : 스마트 유틸리티별
제10장 스마트 시티 시장 : 스마트 시민 서비스별
- 서론
- 스마트 의료
- 스마트 교육
- 스마트 공공안전
- 스마트 가로등
- 전자 정부
제11장 스마트 시티 시장 : 지역별
- 서론
- 북미
- 북미 스마트 시티 시장 성장 촉진요인
- 북미의 거시경제 전망
- 미국
- 캐나다
- 유럽
- 유럽 스마트 시티 시장 성장 촉진요인
- 유럽의 거시경제 전망
- 영국
- 독일
- 프랑스
- 스페인
- 이탈리아
- 북유럽 국가
- 기타 유럽
- 아시아태평양
- 아시아태평양 스마트 시티 시장 성장 촉진요인
- 아시아태평양의 거시경제 전망
- 중국
- 일본
- 한국
- 인도
- 호주 및 뉴질랜드
- 동남아시아
- 기타 아시아태평양
- 중동 및 아프리카
- 중동 및 아프리카의 스마트 시티 시장 성장 촉진요인
- 중동 및 아프리카의 거시경제 전망
- GCC
- 남아프리카공화국
- 기타 중동 및 아프리카
- 라틴아메리카
- 라틴아메리카의 거시경제 전망
- 브라질
- 멕시코
- 기타 라틴아메리카
제12장 경쟁 구도
- 서론
- 주요 시장 진출기업의 전략/강점
- 매출 분석
- 시장 점유율 분석
- 시장 순위 분석
- 기업 평가와 재무 지표
- 브랜드/제품 비교
- 기업 평가 매트릭스 : 주요 기업(2025년)
- 기업 평가 매트릭스 : 스타트업/중소기업(2025년)
- 경쟁 시나리오와 동향
제13장 기업 개요
- 주요 기업
- SIEMENS
- CISCO
- HITACHI
- HUAWEI
- MICROSOFT
- SCHNEIDER ELECTRIC
- IBM
- NEC CORPORATION
- ERICSSON
- ABB
- 기타 기업
- SUTHERLAND
- ORACLE
- FUJITSU
- HONEYWELL
- ACCENTURE
- VODAFONE
- ITRON
- AWS
- THALES
- SIGNIFY HOLDING
- KAPSCH TRAFFICCOM
- MOTOROLA
- TCS
- AT&T
- NOKIA
- SAMSUNG
- SAP
- TOMTOM
- 스타트업/중소기업
- APPYWAY
- KETOS
- GAIA
- INRIX
- LANDIS+GYR
- TAKADU
- ZENCITY
- IXDEN
제14장 인접 시장/관련 시장
- 서론
- 스마트 교통 시장 - 세계 예측(-2029년)
- 스마트 빌딩 시장 - 세계 예측(-2026년)
제15장 부록
LSH
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.
| Scope of the Report |
|---|
| Years Considered for the Study | 2019-2030 |
| Base Year | 2024 |
| Forecast Period | 2025-2030 |
| Units Considered | USD (Billion) |
| Segments | By Focus Area, By Smart Transportation [Offering, Type], By Smart Building [Offering, Type], By Smart Utility [Offering, Type), By Smart Citizen Services (Smart Healthcare, Smart Education, Smart Public Safety, Smart Lighting, eGovernance) |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
"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
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
- 13.1.2.4 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
- 13.1.3.4 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
- 13.1.5.4 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
- 13.1.7 IBM
- 13.1.7.1 Business overview
- 13.1.7.2 Products/Solutions/Services offered
- 13.1.7.3 Recent developments
- 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
- 13.1.10 ABB
- 13.1.10.1 Business overview
- 13.1.10.2 Products/Solutions/Services offered
- 13.1.10.3 Recent developments
- 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
- 14.2 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
