Smart Cities & IoT: Trends and Outlook for Urban IoT
This report explores the topic of the smart city from the perspective of the development of the Internet of Things in four vertical markets: mobility, the environment, public safety and managing flows (power, water, gas). It delivers a detailed snapshot of the technologies that could underpin the Internet of Things' deployment in cities. The four vertical markets examined are analysed in terms of the value-added brought by digital services, their value chain, stakeholders and business models. The report also supplies international quantitative data for each four vertical markets.
In terms of volume, IDATE estimates that the number of connected objects for the four vertical markets –urban mobility, urban environment, public safety in the city and flow management- will exceed 2 billion worldwide in 2021, which translates into an average annual growth rate of around 18% for 2015-2021.
In terms of volume, IDATE estimates that the number of connected objects for the four vertical markets –urban mobility, urban environment, public safety in the city and flow management- will exceed 2 billion worldwide in 2021, which translates into an average annual growth rate of around 18% for 2015-2021.
1. EXECUTIVE SUMMARY
1.1. Rethinking urban mobility
1.2. A better governed urban environment
1.3. Meeting a societal demand for a safe and secure urban space
1.4. More sustainable cities
2. METHODOLOGY AND DEFINITIONS
2.1. General methodology of IDATE's reports
2.2. Methodology specific to this report
2.3. Definitions
2.4. The Internet of Things in the smart city
3. INTERNET OF THINGS TECHNOLOGIES
3.1. Sensors and connected objects
3.1.1. Sensors are vital to acquiring data
3.1.2. Objects and sensors that are specific to the city
3.2. Connectivity
3.2.1. Specific constraints
3.2.2. LPWA network
3.2.3. Traditional cellular networks
3.2.4. More complementary than competing
3.3. IT – software and services
3.3.1. Data storage and management
3.3.2. Analytics and big data
4. ANALYSIS OF THE DIFFERENT VERTICAL SECTORS
4.1. Mobility
4.1.1. Smart mobility in the smart city
4.1.2. Value chain
4.1.3. Business models
4.1.4. Case study: SF Park – San Francisco’s smart parking system
4.1.5. Case study: Optimod’Lyon, a multimodal transport application
4.1.6. Spotlight on self-driving cars
4.2. The environment
4.2.1. The value-added of smart environmental services
4.2.2. Value chain
4.2.3. Business model
4.2.4. Case study: the city of Oslo’s smart street lighting project
4.2.5. Case study: Geneva’s smart waste management project
4.3. Public safety and homeland security
4.3.1. The value-added of smart public safety services
4.3.2. Value chain
4.3.3. Business model
4.3.4. Case study: Mexico’s centralised smart public safety system
4.3.5. Case study: London’s pedestrian detection system
4.4. Smart grid & smart metering
4.4.1. Value-added of smart grid and smart metering services
4.4.2. Value chain
4.4.3. Business model
4.4.4. Case study: the Nice Grid project, combining renewable energy and smart metering
4.4.5. Case study: Yokohama Smart City Project
4.4.6. Case study: actions geared to improving the yield of water distribution networks
5. MARKET ANALYSIS AND OUTLOOK
5.1. The smart city value chain
5.2. Recommendations
5.3. Quantitative market analysis
5.3.1. Installed base of connected objects in the city
5.3.2. Geographical distribution
5.3.3. Distribution by application
5.4. Smart city market development outlook
1.1. Rethinking urban mobility
1.2. A better governed urban environment
1.3. Meeting a societal demand for a safe and secure urban space
1.4. More sustainable cities
2. METHODOLOGY AND DEFINITIONS
2.1. General methodology of IDATE's reports
2.2. Methodology specific to this report
2.3. Definitions
2.4. The Internet of Things in the smart city
3. INTERNET OF THINGS TECHNOLOGIES
3.1. Sensors and connected objects
3.1.1. Sensors are vital to acquiring data
3.1.2. Objects and sensors that are specific to the city
3.2. Connectivity
3.2.1. Specific constraints
3.2.2. LPWA network
3.2.3. Traditional cellular networks
3.2.4. More complementary than competing
3.3. IT – software and services
3.3.1. Data storage and management
3.3.2. Analytics and big data
4. ANALYSIS OF THE DIFFERENT VERTICAL SECTORS
4.1. Mobility
4.1.1. Smart mobility in the smart city
4.1.2. Value chain
4.1.3. Business models
4.1.4. Case study: SF Park – San Francisco’s smart parking system
4.1.5. Case study: Optimod’Lyon, a multimodal transport application
4.1.6. Spotlight on self-driving cars
4.2. The environment
4.2.1. The value-added of smart environmental services
4.2.2. Value chain
4.2.3. Business model
4.2.4. Case study: the city of Oslo’s smart street lighting project
4.2.5. Case study: Geneva’s smart waste management project
4.3. Public safety and homeland security
4.3.1. The value-added of smart public safety services
4.3.2. Value chain
4.3.3. Business model
4.3.4. Case study: Mexico’s centralised smart public safety system
4.3.5. Case study: London’s pedestrian detection system
4.4. Smart grid & smart metering
4.4.1. Value-added of smart grid and smart metering services
4.4.2. Value chain
4.4.3. Business model
4.4.4. Case study: the Nice Grid project, combining renewable energy and smart metering
4.4.5. Case study: Yokohama Smart City Project
4.4.6. Case study: actions geared to improving the yield of water distribution networks
5. MARKET ANALYSIS AND OUTLOOK
5.1. The smart city value chain
5.2. Recommendations
5.3. Quantitative market analysis
5.3.1. Installed base of connected objects in the city
5.3.2. Geographical distribution
5.3.3. Distribution by application
5.4. Smart city market development outlook
TABLES & FIGURES
Table 1: Field of application for sensors by smart city vertical sector
Table 2: Physical pros and cons of each frequency band
Table 3: Technologies adopted by a selection of major telcos
Table 4: Features of the different IoT applications for 5G
Table 5: Technical properties of the different IoT network technologies
Table 6: Using digital technologies and the IoT for environmental applications
Figure 1: The Smart City’s vertical sectors
Figure 2: Evolution of sensor sizes
Figure 3: Pros and cons of the different sensor solutions
Figure 4: Complete detection sensor for monitoring traffic
Figure 5: Images taken from a sensor using thermal imaging
Figure 6: Water level sensors using different low-power communication protocols
Figure 7: Example of certain ISM and restrictions
Figure 8: How the main LPWA technologies are positioned
Figure 9: Bouygues Telecom’s LoRa network in France: coverage and deployment
Figure 10: Features of LTE 0 and LTE M
Figure 11: LTE/MTC standardisation roadmap
Figure 12: Roadmap for the introduction of the different IoT cellular technologies
Figure 13: Example of a big data application for the smart city
Figure 14: The Sentilo platform
Figure 15: Map of managed sensors in Barcelona
Figure 16: The different intelligent transport systems (ITS)
Figure 17: 70 French smart mobility start-ups
Figure 18: Smart mobility services value chain
Figure 19: Screenshot from SFPark.org that allows users to locate available parking
Figure 20: The Optimod’Lyon application for individual users
Figure 21: Self-driving electric taxi from nuTonomy in Singapore
Figure 22: Aerial view of Mcity
Figure 23: Self-driving electric minibus made by Navya
Figure 24: What will be measured by the 'Array of Things' initiative in Chicago
Figure 25: Example of using a street lighting network to connect other equipment
Figure 26: Example of a waste collection solution based on fill level sensors
Figure 27: Example of an air pollution sensor on a street light, and a mobile app for delivering the data
Figure 28: Value chain for smart environmental services
Figure 29: Countries taking part in the European E-Street intelligent road and street lighting project
Figure 30: Receptacle management interface with fill level indicator
Figure 31: France’s video surveillance market
Figure 32: Value chain for smart public safety services
Figure 33: Mexico City’s centralised public safety system
Figure 34: Diagram of the SCOOT system deployed in London
Figure 35: Functionalities enabled on the entire smart grid distribution chain
Figure 36: Smart Grid services value chain
Figure 37: How the Nice Grid platform works
Figure 38: The different applications deployed in Yokohama as part of its Smart City Project
Figure 39: The smart city market’s overall value chain
Figure 40: Connected objects installed in smart cities around the world, 2015-2021
Figure 41: CAGR for connected objects by vertical sector, 2016-2021
Figure 42: Number of connected objects deployed by region, 2015-2021
Figure 43: Number of environment-related connected objects deployed by region, 2015-2021
Figure 44: Number of public safety-related connected objects deployed by region, 2015-2021
Figure 45: Number of energy-related connected objects deployed by region, 2015-2021
Figure 46: Number of mobility-related connected objects deployed by region, 2015-2021
Table 1: Field of application for sensors by smart city vertical sector
Table 2: Physical pros and cons of each frequency band
Table 3: Technologies adopted by a selection of major telcos
Table 4: Features of the different IoT applications for 5G
Table 5: Technical properties of the different IoT network technologies
Table 6: Using digital technologies and the IoT for environmental applications
Figure 1: The Smart City’s vertical sectors
Figure 2: Evolution of sensor sizes
Figure 3: Pros and cons of the different sensor solutions
Figure 4: Complete detection sensor for monitoring traffic
Figure 5: Images taken from a sensor using thermal imaging
Figure 6: Water level sensors using different low-power communication protocols
Figure 7: Example of certain ISM and restrictions
Figure 8: How the main LPWA technologies are positioned
Figure 9: Bouygues Telecom’s LoRa network in France: coverage and deployment
Figure 10: Features of LTE 0 and LTE M
Figure 11: LTE/MTC standardisation roadmap
Figure 12: Roadmap for the introduction of the different IoT cellular technologies
Figure 13: Example of a big data application for the smart city
Figure 14: The Sentilo platform
Figure 15: Map of managed sensors in Barcelona
Figure 16: The different intelligent transport systems (ITS)
Figure 17: 70 French smart mobility start-ups
Figure 18: Smart mobility services value chain
Figure 19: Screenshot from SFPark.org that allows users to locate available parking
Figure 20: The Optimod’Lyon application for individual users
Figure 21: Self-driving electric taxi from nuTonomy in Singapore
Figure 22: Aerial view of Mcity
Figure 23: Self-driving electric minibus made by Navya
Figure 24: What will be measured by the 'Array of Things' initiative in Chicago
Figure 25: Example of using a street lighting network to connect other equipment
Figure 26: Example of a waste collection solution based on fill level sensors
Figure 27: Example of an air pollution sensor on a street light, and a mobile app for delivering the data
Figure 28: Value chain for smart environmental services
Figure 29: Countries taking part in the European E-Street intelligent road and street lighting project
Figure 30: Receptacle management interface with fill level indicator
Figure 31: France’s video surveillance market
Figure 32: Value chain for smart public safety services
Figure 33: Mexico City’s centralised public safety system
Figure 34: Diagram of the SCOOT system deployed in London
Figure 35: Functionalities enabled on the entire smart grid distribution chain
Figure 36: Smart Grid services value chain
Figure 37: How the Nice Grid platform works
Figure 38: The different applications deployed in Yokohama as part of its Smart City Project
Figure 39: The smart city market’s overall value chain
Figure 40: Connected objects installed in smart cities around the world, 2015-2021
Figure 41: CAGR for connected objects by vertical sector, 2016-2021
Figure 42: Number of connected objects deployed by region, 2015-2021
Figure 43: Number of environment-related connected objects deployed by region, 2015-2021
Figure 44: Number of public safety-related connected objects deployed by region, 2015-2021
Figure 45: Number of energy-related connected objects deployed by region, 2015-2021
Figure 46: Number of mobility-related connected objects deployed by region, 2015-2021
