Smart Cities: Connected Public Spaces

Smart Cities: Connected Public Spaces is the first strategyreport from Berg Insight analysing the latest developments on theglobal smart street lighting, smart parking, smart waste collectionand smart city surveillance markets.This strategic research report from Berg Insight provides youwith 170 pages of unique business intelligence, including 5-yearindustry forecasts and expert commentary on which to base yourbusiness decisions.

Highlights from this report:

Insights from 45 new executive interviews with market leadingcompanies.
360-degree overview of the smart cities ecosystem.
In-depth analysis of smart street lighting, parking, waste collectionand city surveillance.
New detailed profiles of 57 market vendors.
Summary of industry trends in key vertical market segments.
Market forecasts by region and technology lasting until 2023.

This report answers the following questions:

Who are the leading companies in the smart street lightingmarket?
What is the outlook for smart street lighting vendors in thecontext of smart cities?
Which are the main types of parking space occupancymonitoring solutions?
Who are the leading smart parking sensor vendors?
What are the recommended solutions for on-street and off-streetparking?
Who are the leading providers of smart waste sensortechnology?
How will the adoption of LPWA network technologies affect thesmart waste sensor market?
What are the components of a smart city surveillance system?
How much is the smart city surveillance equipment marketworth?

Executive summary

Along with the growing urbanisation, the public spaces of a city, such as streets, squares andtransportation hubs become more and more crowded which put pressure on the publiclyavailable assets and services. Meanwhile, safety concerns are also heightened as the risk forcriminal activities, traffic accidents and even terrorist attacks grows larger. Thus,improvements in the management of public spaces within cities become important to ensurethat the challenges from energy consumption, environmental degradation and public safetyare addressed in the best possible way. The advancement of IoT technologies has openedup entirely new possibilities for cities to efficiently manage assets, resources and servicesacross multiple city verticals, and effectively given rise to the concept of smart cities. Byfocusing on providing connectivity to assets in the public spaces themselves, a group ofsmart city applications stand out in terms of their importance for the management of publicspaces – smart street lighting, smart parking, smart waste management and smart citysurveillance.

Smart street lighting solutions enable remote monitoring, control and management of streetlighting networks. By the end of 2018, the global installed base of individually controlledsmart street lights amounted to 10.4 million units. Growing at a CAGR of 24.5 percent, thenumber is expected to reach 31.2 million in 2023. With the UK at the forefront, Europe has ledthe adoption of smart street lighting and today accounts for around 40 percent of the globalinstalled base. North America has seen a more scattered uptake of smart street lighting but isnevertheless home to some of the world’s largest deployments to date. The Rest of Worldaccounted for 31 percent of the global installed base in 2018 and the Chinese marketconstitutes a large part of these installations. As of Q3-2019, the leading smart street lightingvendor was Telensa with an installed base of nearly 1.8 million lighting controls. Included inthe top three are also Signify and Sensus, of which the latter became a top player in 2017through its acquisition of SELC. US-based Itron is also a leading player in the networkingsegment, having acquired Silver Spring Networks in 2018.

Smart parking solutions based on connected parking occupancy detection sensors offer thepossibility to provide real-time visibility of parking availability anywhere in a city. The dominantsensor types for such applications are in-ground and surface-mount sensors, collectivelyreferred to as ground parking sensors. In 2018, there were 1.1 million smart ground parkingsensors installed globally, a number that will grow to 2.6 million units by 2023. The Europeanmarket accounted for nearly 40 percent of the installed sensors while the North Americanmarket lags behind with only 145,000 devices installed in 2018. The Chinese market, which ismainly served by domestic vendors, moreover comprises the majority of installed sensors inthe Rest of World. As of Q3-2019, the top three smart ground parking sensor providers wereNedap, Fangle Technology and SmartGrains.

The primary hardware needed for smart waste management applications is smart wastesensors that measure fill-levels in waste bins and containers throughout a city to enablesubstantial improvements in waste collection services. These sensors may either be preintegratedinto bins and containers, for example as a smart bin offering, or retrofitted onexisting collection points. The market for smart waste sensor technology is yet at an earlystage, comprising some 379,000 connected collection points globally in 2018. The market ishowever forecasted to grow at a CAGR of 30.8 percent to reach 1.5 million units in 2023.Today, Europe constitute the leading market, accounting for around 50 percent of the globalinstalled base. The leading vendors on this market are Bigbelly, Enevo and DingtekTechnology that together accounted for nearly 35 percent of the global market in Q3-2019.

Smart city surveillance refers to the use of networked security technology to improve publicsafety levels in metropolitan areas. The market is dominated by the fixed network surveillanceinfrastructure market, but applications such as live-streaming body-worn cameras (BWCs)and gunshot detection sensors have in recent years emerged as important infrastructurecomplements for city surveillance operations. The market for smart city surveillanceequipment was in 2018 worth € 6.5 billion, with Asia-Pacific and in particular Chinaaccounting for the majority. The market is forecasted to grow at a CAGR of 24.5 percent toreach € 19.5 billion by 2023. Leading video surveillance vendors include the Chinese vendorsHikvision and Dahua Technology as well as Swedish Axis Communications, while leadingproviders of urban gunshot detection and BWCs include ShotSpotter and Axon respectively.

Executive summary
1 Introduction
1.1 The global trend of urbanisation
1.1.1 Regional differences in urbanisation
1.2 Smart cities and connected public spaces
1.2.1 Smart city architecture
1.2.2 The management of public spaces
1.3 IoT network technologies
1.3.1 Network architectures
1.3.2 Unlicensed and licensed frequency bands
1.3.3 The role of wired and wireless networks for connected public spaces
1.4 Wireless IoT communication technologies
1.4.1 3GPP cellular technologies
1.4.1 3GPP-based LPWA
1.4.2 Non 3GPP-based LPWA
1.4.3 RF and IEEE 802.15.4
2 Smart street lighting
2.1 The transition to LED and adaptive lighting
2.2 Smart street lighting
2.2.1 Smart street lighting infrastructure
2.3 Market analysis
2.3.1 Market forecasts
2.3.2 Industry analysis
2.3.3 The new era of competition within smart street lighting
2.4 Company profiles
2.4.1 Acuity Brands
2.4.2 CIMCON Lighting
2.4.3 DimOnOff
2.4.4 Flashnet (Engie)
2.4.5 GE Current, a Daintree Company
2.4.6 Itron
2.4.7 LED Roadway Lighting
2.4.8 Lucy Zodion
2.4.9 Reverberi Enetec
2.4.10 Rongwen Energy Technology Group
2.4.11 Schréder
2.4.12 Sensus (Xylem)
2.4.13 Signify
2.4.14 SSE
2.4.15 Telematics Wireless (ST Engineering)
2.4.16 Telensa
2.4.17 Chinese domestic vendors
3 Smart parking
3.1 Urban traffic and parking
3.1.1 Passenger cars in use by region
3.1.2 Traffic congestion and parking inefficiencies
3.1.3 Types of parking and asset ownership
3.2 Smart parking
3.2.1 Smart parking infrastructure
3.3 Parking space occupancy monitoring
3.3.1 Global occupancy level monitoring
3.3.2 Single space occupancy detection
3.4 Market analysis
3.4.1 Market forecasts
3.4.2 Industry analysis
3.4.3 The foreshadowing threat from camera-based solutions
3.5 Company profiles
3.5.1 CivicSmart
3.5.2 CommuniThings
3.5.3 Fangle Technology
3.5.4 Frogparking
3.5.5 Fybr
3.5.6 Nedap
3.5.7 Nwave Technologies
3.5.8 Onesitu (Circet)
3.5.9 PNI
3.5.10 Smart Parking
3.5.11 SmartGrains
3.5.12 Streetline (Kapsch Group)
3.5.13 Urbiotica
3.5.14 Worldsensing
4 Smart waste collection
4.1 Global waste generation and management
4.2 Smart waste sensors
4.2.1 Smart waste collection infrastructure
4.3 Market analysis
4.3.1 Market forecasts
4.3.2 Industry analysis
4.3.3 LPWA to improve the business case for smart waste sensors
4.4 Company profiles
4.4.1 BH Technologies
4.4.2 Bigbelly
4.4.3 Compology
4.4.4 Dingtek Technology
4.4.5 Ecube Labs
4.4.6 Enevo
4.4.7 Evreka
4.4.8 FarSite Communications
4.4.9 Nordsense
4.4.10 OnePlus Systems
4.4.11 SAYME
4.4.12 Sensoneo
4.4.13 SigrenEa (SUEZ)
4.4.14 Waste Vision
5 Smart city surveillance
5.1 Issues of public safety
5.1.1 Criminal activities and terrorist threats
5.2 Smart city surveillance
5.2.1 Fixed video surveillance infrastructure
5.2.2 Body-worn cameras (BWCs) for law enforcement
5.2.3 Gunshot detection and localisation systems
5.3 Market analysis
5.3.1 Market forecasts
5.3.2 Industry analysis
5.3.3 Western vendors turn to new strategies to mitigate Chinese AI advantage
5.4 Company profiles
5.4.1 Axis Communications (Canon)
5.4.2 Dahua Technology
5.4.3 Hanwha Techwin
5.4.4 Hikvision
5.4.5 Honeywell
5.4.6 Infinova
5.4.7 Motorola Solutions
5.4.8 Panasonic i-PRO Sensing Solutions
5.4.9 Tiandy Technologies
5.4.10 Uniview Technologies
5.4.11 Axon
5.4.12 WCCTV
5.4.13 ShotSpotter
List of Figures
Figure 1.1: Urban population, % of total (World 1960–2018)
Figure 1.2: Number of major cities worldwide
Figure 1.3: Countries with the largest number of major cities (World 2018)
Figure 1.4: Connected public spaces
Figure 1.5: Unlicensed and reserved radio frequencies available for wireless IoT
Figure 1.6: Comparison of LTE MTC enhancements in 3GPP Release 14
Figure 1.7: LTE-M network availability (Q4-2018)
Figure 1.8: NB-IoT network availability (Q4-2018)
Figure 1.9: Public LoRaWAN network operators (World Q4-2018)
Figure 1.10: Sigfox network operators by country (Q1-2019)
Figure 2.1: Dimmable luminaire with external LCU
Figure 2.2: Members of the TALQ Consortium
Figure 2.3: Smart street lighting LCU shipments and installed base (World 2018–2023)
Figure 2.4: Installed base by communications technology (World 2018–2023)
Figure 2.5: Top-12 smart street lighting LCU vendors (World Q3-2019)
Figure 2.6: Vendor market shares (World Q3-2019)
Figure 2.7: CIMCON Lighting NearSky 360
Figure 2.8: Flashnet inteliLIGHT Zhaga and NEMA socket LCUs
Figure 2.9: LED Roadway Lighting Tool-less Sensor Platform
Figure 2.10: The new Lucy Zodion Ki. Node One LCU
Figure 2.11: Signify CityTouch NEMA socket LCU
Figure 3.1: Car parc by region (World 2009–2017)
Figure 3.2: Passenger car density per 1,000 inhabitants (EU28 2017)
Figure 3.3: Driving time spent in congestion per capita (World excluding Asia 2018)
Figure 3.4: Time and costs associated with the search for parking (US 2017)
Figure 3.5: In-ground and surface-mount parking occupancy detection sensors
Figure 3.6: Smart ground parking sensor comparison
Figure 3.7: Smart parking sensor shipments and installed base (World 2018–2023)
Figure 3.8: Installed base by communication technology (World 2018–2023)
Figure 3.9: Top-10 smart ground parking sensor vendors (World Q3-2019)
Figure 3.10: Vendor market shares (World Q3-2019)
Figure 3.11: Fybr Parking Sensor III & Parking Genius guidance & payment app
Figure 3.12: Nedap SENSIT surface- and flush-mount sensors
Figure 3.13: PNI PlacePod in-ground and surface-mount sensors
Figure 3.14: SmartGrains surface-mount sensor
Figure 4.1: Global waste generation and collection statistics
Figure 4.2: Examples of smart waste sensors
Figure 4.3: Ecube Labs waste management software CleanCityNetworks
Figure 4.4: Smart waste sensor shipments and installed base (World 2018–2023)
Figure 4.5: Smart waste sensors by communications technology (World 2018–2023)
Figure 4.6: Top-11 smart waste sensor technology vendors (World Q3-2019)
Figure 4.7: Vendor market shares (World Q3-2019)
Figure 4.8: Bigbelly’s SC5.5 and HC5 smart bins
Figure 4.9: Compology’s camera sensor
Figure 4.10: CleanFLEX fill-level sensor and CleanCUBE smart bins
Figure 4.11: Enevo’s smart fill-level sensor
Figure 4.12: FarSite Communications netBin nPod sensor
Figure 4.13: Sensoneo route planning dashboard
Figure 5.1: Crime rates per 100,000 inhabitants (US & EU 2017
Figure 5.2: Number of deaths from terrorism (World 1995–2018)
Figure 5.3: Common network surveillance camera types
Figure 5.4: Body-worn camera with integrated cellular connectivity
Figure 5.5: Urban gunshot detection sensor system
Figure 5.6: Smart city surveillance equipment value forecast (World 2018–2023)
Figure 5.7: Smart city surveillance vendor data (World FY2018)
Figure 5.8: Mergers and acquisitions among video surveillance vendors
Figure 5.9: Dahua multi-sensor panoramic/PTZ + AI bullet network cameras
Figure 5.10: Wisenet SSM video management software
Figure 5.11: Avigilon H4 Multisensor camera with self-learning video analytics
Figure 5.12: Axon Body 3

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