세계의 스마트 시티 플랫폼 시장 : 제공별, 전개별, 용도별 - 예측(-2030년)

The global smart city platforms market will grow from USD 24.51 billion in 2025 to USD 39.52 billion by 2030 at a compounded annual growth rate (CAGR) of 10.0% during the forecast period. The smart city platforms market is primarily driven by rapid urbanization, which necessitates smarter infrastructure to manage city operations such as transportation, energy, and public safety. Government-led smart city initiatives across regions such as Asia Pacific, Europe, and the Middle East are accelerating platform adoption.

Technological advancements in IoT, 5G, and edge computing, combined with growing environmental sustainability goals, are further fueling the need for integrated platforms. Additionally, the use of AI and advanced analytics is enhancing real-time decision-making and operational efficiency. However, the market faces restraints, including high initial investment and deployment costs, as well as persistent concerns over data privacy and cybersecurity. Integration challenges with legacy systems and interoperability issues pose technical barriers, while a lack of a skilled workforce and unclear regulatory frameworks further hinder large-scale adoption.

Based on deployment, the cloud segment is expected to hold the largest market share during the forecast period.

Cloud deployment is the most prominent and rapidly growing segment in the smart city platforms market. Cities are increasingly adopting cloud-based platforms due to their scalability, cost-effectiveness, and ability to support real-time data processing and analytics. These platforms facilitate centralized management, faster deployment of services, and seamless integration across various urban systems. Additionally, cloud deployment enables remote access, fosters cross-departmental collaboration, and reduces the need for heavy IT infrastructure, making it ideal for cities aiming for digital transformation.

Based on application, the public safety & emergency response segment is expected to grow at the highest CAGR during the forecast period.

Public safety & emergency response is focused on safeguarding citizens through proactive and reactive technologies. Smart city platforms unify data from surveillance systems, 911 call centers, social media, drones, and environmental sensors to create a centralized view of security operations. Advanced tools such as AI-powered video analytics, facial recognition, and behavior prediction help in crime prevention and rapid incident detection. Emergency response is enhanced through real-time communication between law enforcement, fire, and medical services, with dynamic routing for emergency vehicles and situational awareness dashboards. These systems are also instrumental in managing large-scale events and disasters, including floods, earthquakes, or pandemics.

Asia Pacific is expected to grow at the highest CAGR during the forecast period.

The smart city platforms market in Asia Pacific is experiencing robust growth, fueled by rapid urbanization, proactive government initiatives, and accelerated adoption of advanced technologies such as IoT, AI, cloud, and 5G. Strategic national programs, such as China's Smart City Development Plan and India's Smart Cities Mission, are driving large-scale digital infrastructure rollouts. High-growth segments include smart utilities, mobility, and governance, supported by a strong shift toward cloud-based deployments for greater scalability and cost efficiency. Major technology players, including Huawei, Alibaba, Microsoft, Cisco, and AWS, are expanding their presence across the region through partnerships with governments and urban authorities. Despite challenges such as data privacy and uneven infrastructure readiness, Asia-Pacific remains the most dynamic and opportunity-rich market for smart city platforms, offering strong growth potential for solution providers and investors alike.

Breakdown of primaries

We interviewed Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant companies in the smart city platforms market.

• By Company: Tier I: 35%, Tier II: 40%, and Tier III: 25%
• By Designation: C-Level Executives: 40%, Director Level: 25%, and Others: 35%
• By Region: North America: 25%, Europe: 35%, Asia Pacific: 30%, and Rest of the World: 10%

Some of the major smart city platform vendors are IBM (US), Siemens (Germany), Cisco (US), Hitachi (Japan), Microsoft (US), Huawei (China), AWS (US), AT&T (US), Nokia (Finland), and Atos (France).

Research coverage:

The market report covered the smart city platforms market across segments. We estimated the market size and growth potential for many segments based on offering, deployment, application, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product offerings, current trends, and critical market strategies.

Reasons to buy this report:

With information on the most accurate revenue estimates for the whole smart city platforms industry and its subsegments, the research will benefit market leaders and recent newcomers. Stakeholders will benefit from this report's increased understanding of the competitive environment, which will help them better position their companies and develop go-to-market strategies. The research offers information on the main market drivers, constraints, opportunities, and challenges, as well as aids players in understanding the pulse of the industry.

The report provides insights on the following pointers:

Analysis of key drivers (Preference for platforms over standalone solutions, exponential rise in urban population resulting in need for smart management, increasing adoption of IoT technology for infrastructure management and city monitoring, inefficient utilization of resources in emerging economies, digital transformation augmenting scope for smart cities), restraints (Cost-intensive infrastructure of smart city platforms, possibility of privacy and security breaches in smart city platforms, lack of standardization in IoT protocols), opportunities (Development of smart infrastructure, industrial and commercial deployment of smart city platforms, rising smart city initiatives worldwide), and challenges (Increasing concern over data privacy and security, growing cybersecurity attacks due to proliferation of IoT devices, disruption in logistics and supply chain of IoT devices).

• Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and new service and product introductions in the smart city platforms market.
• Market Development: In-depth details regarding profitable markets: the paper examines the global smart city platforms market.
• Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, new goods and services, and the smart city platforms market.
• Competitive Assessment: Thorough analysis of the market shares, expansion plans, platforms, and service portfolios of the top competitors in the smart city platforms industry, such as IBM (US), Siemens (Germany), Cisco (US), Hitachi (Japan), Microsoft (US), Huawei (China), AWS (US), AT&T (US), Nokia (Finland), Atos (France), SAP (Germany), NEC (Japan), Fujitsu (Japan), Schneider Electric (France), Alibaba Cloud (China), Ericsson (Sweden), Bosch.io (Germany), Itron (US), PwC (UK), SICE (Spain), thethings.iO (Spain), KaaIoT Technologies (US), Quantela (US), Ubicquia (US), Igor (US), 75F (US), Telensa (UK), Enevo (US), KETOS (US), Cleverciti (Germany), Gaia Smart Cities (India), Globetom (South Africa), Tadoom (Oman), and Athena SmartCities (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 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
    • 2.1.1.1 Secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Breakup of primary profiles
    • 2.1.2.2 Primary sources
    • 2.1.2.3 Key industry insights
• 2.2 MARKET BREAKUP AND DATA TRIANGULATION
• 2.3 MARKET SIZE ESTIMATION
  • 2.3.1 BOTTOM-UP APPROACH
  • 2.3.2 TOP-DOWN APPROACH
• 2.4 GROWTH FORECAST
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR MARKET PLAYERS
• 4.2 NORTH AMERICA: SMART CITY PLATFORMS MARKET, BY OFFERING AND COUNTRY
• 4.3 ASIA PACIFIC: SMART CITY PLATFORMS MARKET, BY OFFERING AND TOP 3 COUNTRIES
• 4.4 SMART CITY PLATFORMS MARKET, BY APPLICATION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Preference for platforms over standalone solutions
    • 5.2.1.2 Exponential rise in urban population resulting in need for smart management
    • 5.2.1.3 Increasing adoption of IoT technology for infrastructure management and city monitoring
    • 5.2.1.4 Inefficient utilization of resources in emerging economies
    • 5.2.1.5 Digital transformation augmenting scope for smart cities
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Cost-intensive infrastructure of smart city platforms
    • 5.2.2.2 Possibility of privacy and security breaches in smart city platforms
    • 5.2.2.3 Lack of standardization in IoT protocols
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Development of smart infrastructure
    • 5.2.3.2 Industrial and commercial deployment of smart city platforms
    • 5.2.3.3 Rising smart city initiatives worldwide
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Increasing concern over data privacy and security
    • 5.2.4.2 Growing cybersecurity attacks due to proliferation of IoT devices
    • 5.2.4.3 Disruption in logistics and supply chain of IoT devices
• 5.3 INDUSTRY TRENDS
  • 5.3.1 HISTORY OF SMART CITY PLATFORMS MARKET
    • 5.3.1.1 1990-2000
    • 5.3.1.2 2000-2010
    • 5.3.1.3 2010-2020
    • 5.3.1.4 2021-present
  • 5.3.2 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.3.3 SUPPLY CHAIN ANALYSIS
  • 5.3.4 ECOSYSTEM MAPPING
  • 5.3.5 PRICING ANALYSIS
    • 5.3.5.1 Average selling price of key players, by application
    • 5.3.5.2 Indicative pricing trend of smart city platforms
  • 5.3.6 TECHNOLOGY ANALYSIS
    • 5.3.6.1 Key Technologies
      • 5.3.6.1.1 AI and ML
      • 5.3.6.1.2 IoT
      • 5.3.6.1.3 Big data analytics
    • 5.3.6.2 Adjacent Technologies
      • 5.3.6.2.1 AR/VR
      • 5.3.6.2.2 Edge computing
    • 5.3.6.3 Complementary Technologies
      • 5.3.6.3.1 Geospatial information system (GIS)
      • 5.3.6.3.2 Smart grids
      • 5.3.6.3.3 Cybersecurity solutions
  • 5.3.7 PATENT ANALYSIS
    • 5.3.7.1 METHODOLOGY
  • 5.3.8 PORTER'S FIVE FORCES ANALYSIS
  • 5.3.9 THREAT OF NEW ENTRANTS
  • 5.3.10 THREAT OF SUBSTITUTES
  • 5.3.11 BARGAINING POWER OF BUYERS
  • 5.3.12 BARGAINING POWER OF SUPPLIERS
  • 5.3.13 INTENSITY OF COMPETITIVE RIVALRY
  • 5.3.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.3.14.1 Key stakeholders in buying process
    • 5.3.14.2 Buying criteria
  • 5.3.15 CASE STUDY ANALYSIS
    • 5.3.15.1 Case study 1: Smart City Ahmedabad Development Limited (SCADL) partnered with NEC to upgrade manually operated bus transit infrastructure
    • 5.3.15.2 Case study 2: Sierra Wireless helped Liveable Cities transform streetlights into sensor networks
    • 5.3.15.3 Case study 3: Fastned relies on ABB to expand EV fast charge network across Europe
    • 5.3.15.4 Case study 4: Honeywell enabled efficient flight routing for Newark Liberty International Airport
    • 5.3.15.5 Case study 5: Bane NOR selected Thales to provide next-generation nationwide traffic management system
    • 5.3.15.6 Case study 6: Curtin University adopted Hitachi IoT solution to create smart campus
  • 5.3.16 KEY CONFERENCES AND EVENTS, 2025-2026
  • 5.3.17 TECHNOLOGY ROADMAP FOR SMART CITY PLATFORMS MARKET
    • 5.3.17.1 Short-term Roadmap (2025-2026)
    • 5.3.17.2 Mid-term Roadmap (2027-2028)
    • 5.3.17.3 Long-term Roadmap (2029-2030)
  • 5.3.18 BEST PRACTICES TO IMPLEMENT IN SMART CITY PLATFORMS MARKET
  • 5.3.19 CURRENT AND EMERGING BUSINESS MODELS
  • 5.3.20 INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND GENERATIVE AI
    • 5.3.20.1 Impact of Generative AI on Smart City Platforms Market
    • 5.3.20.2 Use cases of generative AI in smart city platforms
  • 5.3.21 INVESTMENT AND FUNDING SCENARIO
• 5.4 IMPACT OF 2025 US TARIFF - SMART CITY PLATFORMS MARKET
  • 5.4.1 INTRODUCTION
  • 5.4.2 KEY TARIFF RATES
  • 5.4.3 PRICE IMPACT ANALYSIS
    • 5.4.3.1 Strategic shifts and emerging trends
  • 5.4.4 IMPACT ON COUNTRY/REGION
    • 5.4.4.1 US
    • 5.4.4.2 China
    • 5.4.4.3 Europe
    • 5.4.4.4 Asia Pacific (excluding China)
  • 5.4.5 IMPACT ON END USERS
    • 5.4.5.1 City governments and municipal authorities
    • 5.4.5.2 Citizens and residents
    • 5.4.5.3 Utility companies and infrastructure providers

6 SMART CITY PLATFORMS MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: MARKET DRIVERS
• 6.2 PLATFORMS
  • 6.2.1 CONNECTIVITY MANAGEMENT PLATFORMS
    • 6.2.1.1 Provide end-to-end connectivity solutions for seamless integration
  • 6.2.2 INTEGRATION PLATFORMS
    • 6.2.2.1 Need to merge data from different siloed systems to drive adoption
  • 6.2.3 DEVICE MANAGEMENT PLATFORMS
    • 6.2.3.1 Growing need to manage information across devices to boost adoption
  • 6.2.4 DATA MANAGEMENT PLATFORMS
    • 6.2.4.1 Ability to ease solution management of various applications to drive demand
  • 6.2.5 SECURITY PLATFORMS
    • 6.2.5.1 High demand due to rising risk of cyber threats
  • 6.2.6 OTHER PLATFORMS
• 6.3 SERVICES
  • 6.3.1 PROFESSIONAL SERVICES
    • 6.3.1.1 Consulting & architecture designing
      • 6.3.1.1.1 Growing demand to ensure cost-optimization
    • 6.3.1.2 Infrastructure monitoring & management
      • 6.3.1.2.1 Provides high-precision information in real-time
    • 6.3.1.3 Deployment & training
      • 6.3.1.3.1 Rising demand for services to ensure optimized functioning of platforms
  • 6.3.2 MANAGED SERVICES
    • 6.3.2.1 Facilitate efficient management of smart city operations

7 SMART CITY PLATFORMS MARKET, BY DEPLOYMENT

• 7.1 INTRODUCTION
  • 7.1.1 DEPLOYMENT: MARKET DRIVERS
• 7.2 CLOUD
  • 7.2.1 GROWING PREFERENCE FOR COST-EFFECTIVE AND FLEXIBLE SOLUTIONS
• 7.3 HYBRID
  • 7.3.1 HIGH DEMAND DUE TO NEED FOR SECURE AND SUSTAINABLE TOOLS TO BUILD SMART CITIES
• 7.4 ON-PREMISES
  • 7.4.1 REQUIREMENT FOR TIMELY PROBLEM-SOLVING TO INCREASE DEMAND

8 SMART CITY PLATFORMS MARKET, BY APPLICATION

• 8.1 INTRODUCTION
  • 8.1.1 APPLICATION: MARKET DRIVERS
• 8.2 SMART TRANSPORTATION
  • 8.2.1 OPTIMIZE URBAN MOBILITY WITH REAL-TIME, DATA-DRIVEN TRANSIT SOLUTIONS
• 8.3 PUBLIC SAFETY & EMERGENCY RESPONSE
  • 8.3.1 ENHANCE CITIZEN SAFETY THROUGH INTEGRATED, PREDICTIVE EMERGENCY MANAGEMENT
• 8.4 SMART ENERGY & UTILITIES
  • 8.4.1 DRIVE EFFICIENCY AND SUSTAINABILITY WITH INTELLIGENT UTILITY INFRASTRUCTURE
• 8.5 SMART GOVERNANCE
  • 8.5.1 TRANSFORM PUBLIC SERVICES WITH TRANSPARENT, CITIZEN-CENTRIC DIGITAL PLATFORMS
• 8.6 SMART INFRASTRUCTURE
  • 8.6.1 NEED TO BUILD RESILIENT CITIES WITH CONNECTED, SELF-MONITORING URBAN ASSETS TO DRIVE MARKET
• 8.7 OTHER APPLICATIONS

9 SMART CITY PLATFORMS MARKET, BY REGION

• 9.1 INTRODUCTION
• 9.2 NORTH AMERICA
  • 9.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 9.2.2 US
    • 9.2.2.1 Technological advancements and digital readiness to boost market growth
  • 9.2.3 CANADA
    • 9.2.3.1 Rapid urbanization and use of IoT technology to drive growth of smart cities
• 9.3 EUROPE
  • 9.3.1 EUROPE: MACROECONOMIC OUTLOOK
  • 9.3.2 UNITED KINGDOM
    • 9.3.2.1 Increased adoption of innovative digital technologies to boost market growth
  • 9.3.3 GERMANY
    • 9.3.3.1 Acceleration of urban digital transformation to drive smart city development
  • 9.3.4 FRANCE
    • 9.3.4.1 High usage of smart devices to drive market
  • 9.3.5 ITALY
    • 9.3.5.1 Growing adoption of latest technologies to boost market
  • 9.3.6 SPAIN
    • 9.3.6.1 Government initiatives to improve quality of life to drive market
  • 9.3.7 NORDICS
    • 9.3.7.1 Focus on sustainable development to boost demand for smart cities
  • 9.3.8 REST OF EUROPE
• 9.4 ASIA PACIFIC
  • 9.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 9.4.2 CHINA
    • 9.4.2.1 Government initiatives to promote growth of smart cities
  • 9.4.3 JAPAN
    • 9.4.3.1 Highly developed telecom sector to boost development of smart cities
  • 9.4.4 INDIA
    • 9.4.4.1 Growing urban population to drive need for smart cities
  • 9.4.5 SOUTH KOREA
  • 9.4.6 AUSTRALIA AND NEW ZEALAND
    • 9.4.6.1 Knowledge-based Australian economy to offer opportunities for market growth
  • 9.4.7 SOUTHEAST ASIA
    • 9.4.7.1 Rapid urbanization to drive market
  • 9.4.8 REST OF ASIA PACIFIC
• 9.5 MIDDLE EAST & AFRICA
  • 9.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 9.5.2 UAE
    • 9.5.2.1 Government focus on sustainable development to drive demand for smart city platforms
  • 9.5.3 KSA
    • 9.5.3.1 Increasing development of smart cities to boost market
  • 9.5.4 SOUTH AFRICA
    • 9.5.4.1 Rising urbanization to increase development of smart cities
  • 9.5.5 EGYPT
    • 9.5.5.1 Introduction of people-centered digital policies to create demand for smart cities
  • 9.5.6 NIGERIA
    • 9.5.6.1 Rising urbanization to increase demand for smart cities
  • 9.5.7 REST OF MIDDLE EAST & AFRICA
• 9.6 LATIN AMERICA
  • 9.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 9.6.2 BRAZIL
    • 9.6.2.1 Early adoption of smart city technologies to boost market
  • 9.6.3 MEXICO
    • 9.6.3.1 Need to create digitally smart urban areas to drive market growth
  • 9.6.4 ARGENTINA
    • 9.6.4.1 Rising need for smart city management tools to drive market
  • 9.6.5 REST OF LATIN AMERICA

10 COMPETITIVE LANDSCAPE

• 10.1 INTRODUCTION
• 10.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
• 10.3 REVENUE ANALYSIS, 2020-2024
• 10.4 MARKET SHARE ANALYSIS, 2024
• 10.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 10.5.1 STARS
  • 10.5.2 EMERGING LEADERS
  • 10.5.3 PERVASIVE PLAYERS
  • 10.5.4 PARTICIPANTS
  • 10.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 10.5.5.1 Company footprint
    • 10.5.5.2 Region footprint
    • 10.5.5.3 Application footprint
    • 10.5.5.4 Offering footprint
• 10.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 10.6.1 PROGRESSIVE COMPANIES
  • 10.6.2 RESPONSIVE COMPANIES
  • 10.6.3 DYNAMIC COMPANIES
  • 10.6.4 STARTING BLOCKS
  • 10.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 10.6.5.1 Detailed list of key startups/SMEs
    • 10.6.5.2 Competitive benchmarking of key startups/SMEs
• 10.7 BRAND/PRODUCT COMPARISON
• 10.8 COMPANY VALUATION AND FINANCIAL METRICS
• 10.9 COMPETITIVE SCENARIO
  • 10.9.1 PRODUCT LAUNCHES
  • 10.9.2 DEALS

11 COMPANY PROFILES

• 11.1 KEY PLAYERS
  • 11.1.1 SIEMENS
    • 11.1.1.1 Business overview
    • 11.1.1.2 Products/Solutions/Services offered
    • 11.1.1.3 Recent developments
    • 11.1.1.4 MnM view
      • 11.1.1.4.1 Key strengths/Right to win
      • 11.1.1.4.2 Strategic choices
      • 11.1.1.4.3 Weaknesses and competitive threats
  • 11.1.2 CISCO
    • 11.1.2.1 Business overview
    • 11.1.2.2 Products/Solutions/Services offered
    • 11.1.2.3 Recent developments
    • 11.1.2.4 MnM view
      • 11.1.2.4.1 Key strengths/Right to win
      • 11.1.2.4.2 Strategic choices
      • 11.1.2.4.3 Weaknesses and competitive threats
  • 11.1.3 HUAWEI
    • 11.1.3.1 Business overview
    • 11.1.3.2 Products/Solutions/Services offered
    • 11.1.3.3 Recent developments
    • 11.1.3.4 MnM view
      • 11.1.3.4.1 Key strengths/Right to win
      • 11.1.3.4.2 Strategic choices
      • 11.1.3.4.3 Weaknesses and competitive threats
  • 11.1.4 HITACHI
    • 11.1.4.1 Business overview
    • 11.1.4.2 Products/Solutions/Services offered
    • 11.1.4.3 Recent developments
    • 11.1.4.4 MnM view
      • 11.1.4.4.1 Key strengths/Right to win
      • 11.1.4.4.2 Strategic choices
      • 11.1.4.4.3 Weaknesses and competitive threats
  • 11.1.5 MICROSOFT
    • 11.1.5.1 Business overview
    • 11.1.5.2 Products/Solutions/Services offered
    • 11.1.5.3 Recent developments
    • 11.1.5.4 MnM view
      • 11.1.5.4.1 Key strengths/Right to win
      • 11.1.5.4.2 Strategic choices
      • 11.1.5.4.3 Weaknesses and competitive threats
  • 11.1.6 IBM
    • 11.1.6.1 Business overview
    • 11.1.6.2 Products/Solutions/Services offered
    • 11.1.6.3 Recent developments
  • 11.1.7 AWS
    • 11.1.7.1 Business overview
    • 11.1.7.2 Products/Solutions/Services offered
    • 11.1.7.3 Recent developments
  • 11.1.8 AT&T
    • 11.1.8.1 Business overview
    • 11.1.8.2 Products/Solutions/Services offered
  • 11.1.9 NOKIA
    • 11.1.9.1 Business overview
    • 11.1.9.2 Products/Solutions/Services offered
  • 11.1.10 ATOS
    • 11.1.10.1 Business overview
    • 11.1.10.2 Products/Solutions/Services offered
• 11.2 OTHER PLAYERS
  • 11.2.1 SAP
  • 11.2.2 NEC
  • 11.2.3 FUJITSU
  • 11.2.4 SCHNEIDER ELECTRIC
  • 11.2.5 ALIBABA CLOUD
  • 11.2.6 ERICSSON
  • 11.2.7 BOSCH.IO
  • 11.2.8 ITRON
  • 11.2.9 PWC
  • 11.2.10 SICE
• 11.3 STARTUPS/SMES
  • 11.3.1 THETHINGS.IO
  • 11.3.2 KAAIOT TECHNOLOGIES
  • 11.3.3 QUANTELA
  • 11.3.4 UBICQUIA
  • 11.3.5 IGOR
  • 11.3.6 75F
  • 11.3.7 TELENSA
  • 11.3.8 ENEVO
  • 11.3.9 KETOS
  • 11.3.10 CLEVERCITI
  • 11.3.11 GAIA SMART CITIES
  • 11.3.12 GLOBETOM
  • 11.3.13 TADOOM
  • 11.3.14 ATHENA SMART CITIES

12 ADJACENT MARKETS & APPENDIX

• 12.1 INTRODUCTION
• 12.2 SMART CITIES MARKET - GLOBAL FORECAST TO 2030
  • 12.2.1 MARKET DEFINITION
• 12.3 SMART INFRASTRUCTURE MARKET - GLOBAL FORECAST TO 2029
  • 12.3.1 MARKET DEFINITION

13 APPENDIX

• 13.1 DISCUSSION GUIDE
• 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 13.3 CUSTOMIZATION OPTIONS
• 13.4 RELATED REPORTS
• 13.5 AUTHOR DETAILS