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DUBLIN, Oct. 22, 2020 /PRNewswire/ -- The "Smart Cities Market by Strategy, Technology, and Outlook for Solutions, Applications and Services 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the smart cities market including leading vendors and strategies (such as a single vs. multi-vendor centric approach), infrastructure, solutions, applications, and services. The report analyzes market factors driving solution adoption, technology readiness and fitness for use, and other considerations.

The report assesses the aforementioned factors to derive penetration and revenue to forecast market value for the period of 2020 - 2025. The report also analyses the role of technology accelerating digital transformation including AI, edge processing, 5G deployment and usage, and advanced data analytics.

Technological innovation is one of the driving factors for the development of cities. These innovations are also an important support for those searching for new ways to manage resources and deliver services. A lot of smart city technologies are being developed to manage specific issues in energy distribution, energy management, transportation management, and public safety. New generations of sensor networks, big data analytics, and IoT applications are being deployed in public and privately managed physical spaces to meet these requirements, though many challenges remain.

An important focus area for smart cities is technology infrastructure to enable smart utilities (smart grids, sanitation, water, and gas), smarter buildings, and workplaces. Systems and resources are intertwined as mobility, communications, energy, water, platforms, monitoring/control, performance management, predictability and forecasting all merge together. We see great synergy coming in public and corporate collaboration, but it will take up to twenty years to fully develop.

Major initiatives are beginning to make a substantial positive impact as critical milestones are achieved. This includes network and system interoperability, security and privacy controls, and technology integration. For the latter, one of the key areas that we see is the combination of AI and IoT forming "thinking" cities that rely upon the Artificial Intelligence of Things (AIoT). Industry verticals we see as early beneficiaries include utilities, public safety, and transportation. Specific AIoT-enhanced smart city solutions within these verticals are poised to improve the overall efficiency and operational effectiveness of delivery systems as well as human capital management.

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Key Topics Covered:

1.0 Executive Summary

2.0 Smart City Overview2.1 A Global Need for a Smarter Urban Environment2.2 All Cities are "Smart" but some are Smarter than Others

3.0 Smart City Strategy and Planning3.1 Smart City Considerations3.1.1 Existing vs. New City Approach3.1.2 Smart City Development Factors3.1.3 Smart City Services Life Cycle3.1.4 Smart Community Services3.2 Smart City Business Models3.2.1 Build Own Operate (BOO)3.2.2 Build Operate Transfer (BOT)3.2.3 Build Operate Manage (BOM)3.2.4 Open Business Model (OBM)

4.0 Smart City Market Analysis4.1 Smart City Market Drivers4.1.1 High Bandwidth, Low Latency, and Reliable Communications4.1.2 Reduced Energy Consumption with Smart Energy Solutions4.1.3 Active Citizen Engagement Leads to Greater Smart City Support4.1.4 Improving Governance Services and National Security4.1.5 Accelerating Digital Transformation4.1.6 Fostering Urban Development4.2 Smart City Solution Focus Areas4.2.1 Smart Utilities4.2.2 Smart Transportation: Roadways, Vehicles, and Parking4.2.3 Smart Residences, Commercial Buildings, and Workplaces4.2.4 Smart Industries4.3 Specific Smart City Solution Areas4.3.1 Asset Tracking and Control4.3.2 Field and Home Area Network Solutions4.3.3 AI and Big Data supported Smart City Hubs4.3.4 Smart City Applications in Citizen Service4.3.5 Mobility Solutions, Governance, and Security in Smart Cities

5.0 Smart City Technology Analysis5.1 Machine to Machine and Internet of Things5.1.1 Machine to Machine Technologies and Communications5.1.2 Internet of Things in Smart Cities5.2 Smart City Data Management Technologies and Solutions5.3 Artificial Intelligence in Smart Cities5.3.1 Artificial Intelligence of Things (AIoT) in Smart Cities5.3.2 Combined AIoT and Data Analytics in Smart Cities5.4 Metropolitan and Wide Area Communications5.4.1 WiMAX5.4.2 LTE5.4.3 5G5.5 Short Range Communication Technology5.5.1 WiFi5.5.2 RFID5.5.3 Li-Fi5.6 Next Generation Computing support of Smart Cities5.6.1 Edge Based Computing: Localized Processing5.6.2 High Performance and Quantum Computing

6.0 Smart City Development by Region and Country

7.0 Smart City Value Chain and Application Analysis7.1 Smart City Ecosystem Analysis7.2 Smart City Product and Service Provider Opportunity Analysis7.2.1 Smart City Network Service Providers7.2.2 Smart City Integrators7.2.3 Smart City Product Vendors7.2.4 Smart City Managed Service Providers7.3 Equipment vs. Software and Service based Approach

8.0 Smart City Vendor and Service Provider Analysis8.1 2020 Imaging8.2 ABB8.3 Accela8.4 Accenture8.5 Aclara8.6 Aclima8.7 Advantech8.8 Aeris Communications8.9 AGT International8.10 Airspan8.11 Airtel8.12 Alibaba8.13 Allegro8.14 Ally8.15 Alstom SA8.16 Altair Semiconductor8.17 Alvarion8.18 Amazon8.19 Ambience Data8.20 AMCS8.21 AMD8.22 America Movil8.23 Amplia Soluciones SL8.24 Analog Devices Inc.8.25 Apple8.26 Appyparking8.27 Altran8.28 Arista Networks Inc.8.29 ARM Holdings8.30 Ascom8.31 Asus8.32 AT&T8.33 Atos8.34 Autogrid8.35 Ayyeka8.36 Azavea8.37 Baidu Inc.8.38 Banyanwater8.39 Barbara IoT8.40 Bentley Systems8.41 Blackberry Ltd8.42 Bosch Software Innovations GmbH8.43 Breezometer8.44 Bridj8.45 Broadcom Corporation8.46 BT Group8.47 Blyncsy8.48 Calthorpe Analytics8.49 Capgemini8.50 Cavium Inc.8.51 China Mobile8.52 China Unicom8.53 Ciena Corporation8.54 CIMCON Lighting8.55 Cisco8.56 Citrix Systems8.57 Cityflo8.58 Citymapper8.59 Civicsmart8.60 Clarity Movement Co.8.61 Cobham Wireless8.62 Colt8.63 Compology8.64 Contus8.65 Cradlepoint8.66 Cubic Corporation8.67 CyanConnode8.68 Dassault Systems8.69 Delta Controls8.70 Dispatchr8.71 Double Map8.72 DOVU8.73 Elichens8.74 Emagin8.75 Emerson Electric Co8.76 Enel8.77 Energyworx8.78 Enevo8.79 ENGIE8.80 Ericsson8.81 Evopark8.82 EZparking8.83 Fathom8.84 Filament8.85 Flamencotech8.86 Flowlabs8.87 Fluentgrid8.88 GE8.89 Getmy Parking8.90 Google8.91 Gridcure8.92 HCL Technologies Ltd8.93 HFCL8.94 Hitachi8.95 Honeywell8.96 HPE8.97 Huawei8.98 IBM8.99 Infarm8.100 Inrix8.101 Inspira8.102 Intel8.103 Intelizon Energy8.104 Inventum Technologies8.105 Itron8.106 Johnson Controls8.107 Kapsch Group8.108 Koninklijke Philips NV8.109 KORE Wireless8.110 LG CNS8.111 Libelium8.112 Logic Ladder8.113 Mapillary8.114 Maven Systems8.115 Meter Feeder8.116 Metrotech8.117 Microsoft8.118 Mindteck8.119 Miovision8.120 Mobike8.121 Moovel8.122 Moovit8.123 NEC8.124 Neighborland8.125 Nokia8.126 Nordsense8.127 NTT DATA8.128 One Concern8.129 Oorja On Move8.130 Opendatasoft8.131 Opusone8.132 Oracle Corporation8.133 Panasonic8.134 Parkwhiz8.135 Passport8.136 Phoenix Robotix8.137 Plume Labs8.138 Proclivis Technology Solutions8.139 Purplewifi8.140 QInfra Solutions8.141 Qualcomm Incorporated8.142 Quality Theorem8.143 Rachio8.144 Remix8.145 Ridlr8.146 Rubicon8.147 SAP8.148 Schneider Electric SA8.149 Sentiance8.150 Siemens AG8.151 Sierra Wireless8.152 Sigfox8.153 Signify8.154 Soofa8.155 Spacetime Insight8.156 Spatial Labs, Inc.8.157 Spice Digital8.158 Spot Hero8.159 Stae8.160 Streetlight Data8.161 Swiftly8.162 Takadu8.163 Tantalum8.164 Telefonica8.165 Telensa8.166 Toshiba8.167 Tractebel8.168 Trafi8.169 Transit Labs8.170 Transit Screen8.171 Transloc8.172 Trilliant8.173 Understory8.174 UrbanFootprint8.175 Urbee8.176 Urbiotica (Spain)8.177 Utilidata8.178 Valor Water Analytics8.179 Varentec8.180 Veniam8.181 Veolia8.182 Verizon8.183 Videonetics Technologies8.184 Vodafone8.185 Volocopter8.186 Watersmart8.187 Where Is My Transport8.188 Wipro8.189 Worldsensing SL8.190 Zagster8.191 Zenysis8.192 Zerocycle8.193 ZiFF Technologies

9.0 Smart Cities Market Forecast 2020 - 20259.1 Global Smart Cities Market 2020 - 20259.1.1 Smart Cities Market in Aggregate9.1.2 Smart Cities Market by Technology9.1.3 Smart Cities Market by Application9.1.4 Artificial Intelligence Market in Smart Cities9.1.5 IoT Market in Smart Cities9.1.6 5G Market in Smart Cities9.1.7 Cloud Computing Market in Smart Cities9.1.8 Big Data Analytics Market in Smart Cities9.1.9 Quantum Computing Market in Smart Cities9.1.10 Edge Computing Market in Smart Cities9.1.11 High-Performance Computing Market in Smart Cities9.2 Regional Smart Cities Market Forecast 2020 - 2025

10.0 Smart City Market Summary, Conclusions, and Recommendations10.1 Advertisers and Media Companies10.2 Artificial Intelligence Providers10.3 Automotive Companies10.4 Broadband Infrastructure Providers10.5 Communication Service Providers10.6 Computing Companies10.7 Data Analytics Providers10.8 Immersive Technology (AR, VR, and MR) Providers10.9 Networking Equipment Providers10.10 Networking Security Providers10.11 Semiconductor Companies10.12 IoT Suppliers and Service Providers10.13 Software Providers10.14 Smart City System Integrators10.15 Automation System Providers10.16 Social Media Companies10.17 Workplace Solution Providers10.18 Enterprise and Government

For more information about this report visit https://www.researchandmarkets.com/r/19qwu7

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Global Smart Cities Market Analysis 2020-2025: AI, IoT, and 5G (AIoT5G) will be the Most Influential Technologies - 63%, 34%, and 52% Respectively -...

Market Study Report, LLC, has added a research study on Quantum Computing market which delivers a concise outline of the market share, market size, revenue estimation, geographical outlook and SWOT analysis of the business. The report further offers key insights based on growth opportunities and challenges as experienced by leaders of this industry, while evaluating their present standing in the market and growth strategies.

The new Quantum Computing market research report presents a granular analysis of the business outlook and also covers the world market overview. It throws lights on various market segmentations based on product type, application spectrum, well-established companies, and regions.

Request a sample Report of Quantum Computing Market at:https://www.marketstudyreport.com/request-a-sample/2855012?utm_source=prnewsleader.com&utm_medium=SK

Additionally, the document analyses the impact of COVID-19 on the market growth.

Key features of Quantum Computing market report:

Regional Analysis of Quantum Computing market:

Quantum Computing Market Segmentation: Americas, APAC, Europe, Middle East & Africa

Overview of the regional terrain of Quantum Computing market:

Product types and application scope of Quantum Computing market:

Product landscape:

Product types: Hardware, Software and Cloud Service

Key factors enclosed in the report:

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Application Landscape:

Application segmentation: Medical, Chemistry, Transportation, Manufacturing and Others

Details stated in the report:

Other details specified in the report:

Competitive spectrum of the Quantum Computing market:

Competitive landscape of Quantum Computing market: D-Wave Solutions, IBM, Microsoft, Rigetti Computing, Google, Anyon Systems Inc., Intel, Cambridge Quantum Computing Limited and Origin Quantum Computing Technology

Major features as per the report:

For More Details On this Report: https://www.marketstudyreport.com/reports/global-quantum-computing-market-growth-status-and-outlook-2020-2025

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Quantum Computing Market 2020 | Outlook, Growth By Top Companies, Regions, Types, Applications, Drivers, Trends & Forecasts by 2025 - PRnews...

The world of computing is full of buzzwords: AI, supercomputers, machine learning, the cloud, quantum computing and more. One word in particular is used throughout computing algorithm.

In the most general sense, an algorithm is a series of instructions telling a computer how to transform a set of facts about the world into useful information. The facts are data, and the useful information is knowledge for people, instructions for machines or input for yet another algorithm. There are many common examples of algorithms, from sorting sets of numbers to finding routes through maps to displaying information on a screen.

To get a feel for the concept of algorithms, think about getting dressed in the morning. Few people give it a second thought. But how would you write down your process or tell a 5-year-old your approach? Answering these questions in a detailed way yields an algorithm.

To a computer, input is the information needed to make decisions.

When you get dressed in the morning, what information do you need? First and foremost, you need to know what clothes are available to you in your closet. Then you might consider what the temperature is, what the weather forecast is for the day, what season it is and maybe some personal preferences.

All of this can be represented in data, which is essentially simple collections of numbers or words. For example, temperature is a number, and a weather forecast might be rainy or sunshine.

Next comes the heart of an algorithm computation. Computations involve arithmetic, decision-making and repetition.

So, how does this apply to getting dressed? You make decisions by doing some math on those input quantities. Whether you put on a jacket might depend on the temperature, and which jacket you choose might depend on the forecast. To a computer, part of our getting-dressed algorithm would look like if it is below 50 degrees and it is raining, then pick the rain jacket and a long-sleeved shirt to wear underneath it.

After picking your clothes, you then need to put them on. This is a key part of our algorithm. To a computer a repetition can be expressed like for each piece of clothing, put it on.

Finally, the last step of an algorithm is output expressing the answer. To a computer, output is usually more data, just like input. It allows computers to string algorithms together in complex fashions to produce more algorithms. However, output can also involve presenting information, for example putting words on a screen, producing auditory cues or some other form of communication.

So after getting dressed you step out into the world, ready for the elements and the gazes of the people around you. Maybe you even take a selfie and put it on Instagram to strut your stuff.

Sometimes its too complicated to spell out a decision-making process. A special category of algorithms, machine learning algorithms, try to learn based on a set of past decision-making examples. Machine learning is commonplace for things like recommendations, predictions and looking up information.

[Deep knowledge, daily. Sign up for The Conversations newsletter.]

For our getting-dressed example, a machine learning algorithm would be the equivalent of your remembering past decisions about what to wear, knowing how comfortable you feel wearing each item, and maybe which selfies got the most likes, and using that information to make better choices.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms. Maybe the next time you grab your phone, see a Hollywood movie or check your email, you can ponder what sort of complex set of algorithms is behind the scenes.

Read more here:
What is an algorithm? How computers know what to do with data - The Conversation US

Executive Summary

Its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

When the pandemic hit in March, many companies long-term plans and strategies were thrown out the window, as everyone from the frontlines to the C-suite shifted into fire-fighting mode. Many worked around the clock by leveraging remote technology. Its often been exhausting, as each day seems to bring new challenges and obstacles to overcome. As a result, the past six months have felt more like six years to a lot of us.

This pace isnt sustainable. While you may have needed your organization to run at 200 miles-per-hour as you learned to adjust to the new realities of the pandemic, youre now risking serious burnout among your team. Research shows that employees are reporting alarming levels of stress and fatigue, and the risk for depression among U.S. workers has risen by 102% as a result of the Covid-19 pandemic.

This is becoming a serious threat to organizations, including those who have already been forced to lay off staff or downsize. The paradox is that while many organizations have gained new efficiencies from embracing digital transformation using technologies such as Zoom to keep their workforce functioning remotely they may now risk losing their best employees, many of whom feel disconnected and disengaged in this new digital workplace. A recent survey from the consultancy KPMG found that losing talent is now the number one risk organizations face.

Thats why its time to rethink your digital strategy in the context of people. Its not just about adding new technologies like quantum computing, IoT, or AI, but how that tech will make your employees connect more effectively with their work. Its also time to shift from the here-and-now and look further out, revisiting your long-term strategies. To get the most out of your technology investments, you need to hit the pause button and think more about how you can connect your people to the goals you hope to achieve with that technology.

Over the course of my career, Ive studied more than 1,000 organizations and have coached more than 100 organizations that have undergone significant transformations. Over the past five years, Ive been particularly interested in the impact of DT and how organizations can leverage technology for growth. What Ive learned is that most digital transformation efforts fail often spectacularly which leads to hundreds of billions of dollars in wasted investment and the deterioration of employee engagement.

My mission has been to help coach organizations to achieve more positive outcomes through their digital transformation efforts. More recently, Ive been researching how the model I developed last year a transformation framework in partnership with the Project Management Institute (PMI), called The Brightline Transformation Framework can be applied to Covid-19 and its impact on organizational efforts to embrace digital transformation.

Specifically, this approach aligns the inside-out which means aligning every employees most important personal aspiration with the outside-in, where employees understand and embrace the companys strategic vision, so that everyone is working toward the same objectives.

Outside-In Approach. Employees must first understand and embrace the companys north star, including customer insights and megatrends, so everyone is working toward the same objectives.

Inside-Out Approach. Aligning every employees purpose or personal north star with those of the company includes:

Taking this approach is more relevant than ever in the wake of the pandemic, as it emphasizes that employees personal goals and engagement are the critical factors underpinning every successful transformation much more so than other elements like technology or business processes.

For organizations to thrive in a post-Covid world, while simultaneously tackling the challenges of burnout and the threat to employee retention, there is an urgent need to rethink these two key areas:

1. Bring the Outside In

The pandemic has changed the landscape of many industries ecosystems leading to an existential crisis for many organizations. Consider Airbnb, whose business suffered a loss of a billion dollars due to guest cancellations all while paying out some $250 million to compensate their hosts for their losses. The company now recognizes that nothing will ever be the same again. To help engage their team in adjusting to the new realities of the marketplace, the leadership team embarked on an outside-in transformation exercise that helped them identify their new north star; the transformational goal they wanted to achieve that could help propel the company forward for the long run.

As CEO Brian Chesky framed it, the companys new goal was to get back to our roots, back to the basics, back to what is truly special about Airbnb everyday people who host their homes and offer experiences. One of the trends Chesky and his team identified was that, as a result of the pandemic, there is a growing acceptance that people can now work from anywhere which could open up new opportunities to service customers interested in traveling and experiencing unique communities and cultures for an extended time. At the same time, the company has begun winding down activities that werent core to the business such as scaling back on investments in transports, hotels, and luxury properties.

2. Align Your Inside-Out with the Outside-In

Once Airbnb had established where it wanted to go, the company embarked on an inside-out journey with its employees helping them connect to the companys new north star by creating personal/team vision statements that aligned with the greater goal to help create the human connections that so many people miss these days. The idea was to enlist employees help in rebuilding the business, and to enlist their feedback on how they could directly impact the companys efforts to scale and prosper again.

Another Outside-In/Inside-Out transformation effort has been occurring at Kasikornbank (KBank), one of the largest banks in Thailand. [Disclosure: they are a client of mine.] The companys north star was not only to save jobs they kept all their workers during the pandemic but also to save their customers: small and medium-sized businesses. KBank and its employees worked closely with thousands of their clients to help them weather the storm by offering to delay their loan payments, as long as those businesses also avoided layoffs the kind of program usually only initiated by governments. Its estimated that KBanks efforts saved some 41,000 jobs, which gave their employees a sense of purpose, confidence, and loyalty as a result of their organization making such a positive difference to their country.

Covid-19 has taught us how connected and integrated we all are with each other and with the communities in which we operate. Its now time to give your employees the opportunity to understand how your organizations north star aligns with their desire to contribute to a meaningful cause. Thats how you get them to re-engage while recharging their emotional energy stores. The longer you wait to make these connections, the more your organization is at risk of losing the human capital it requires to thrive into the future, regardless of how much you spend on technology.

More here:
Put Employees at the Center of Your Post-Pandemic Digital Strategy - Harvard Business Review

What areas are covered? Theres Nexperia LED drivers, Fujitsu quantum computing, STs acquisition of SOMOS Semiconductor, Chinas share of the foundry market and the issue of Arm being legally required to hire more staff

5. Nexperia launches LED drivers in compact packageNexperia has brought out a range of LED drivers in the DFN2020D-6 (SOT1118D) package. This case style features side-wettable flanks (SWF) which facilitate the use of AOI (automated optical inspection), and improve reliability. This is the first time LED drivers have been available in this package. The leadless devices join Nexperias wide range of LED drivers in leaded packages offering equivalent performance yet reducing PCB space by up to 90% compared to SOT223.

4. Fujitsu collaborates to make practical quantum computing a realityFujitsu has joined with Riken and the universities of Tokyo, Osaka and Delft to make practical quantum computing a reality. The collaboration aims to achieve comprehensive and efficient advances in quantum computing by applying quantum computing to various fields currently facing problems that are extremely difficult to solve. Currently, even using superconducting chips which are leading the way in quantum computing, systems remain limited to about 50-qubits, making it hard to perform useful calculations.

3. ST buys SOMOS SemiconductorST has bought the assets of SOMOS Semiconductor of Marly-le-Roy (France) which specialises in silicon-based power amplifiers and in RF Front-End Modules products. With this acquisition, ST reinforces its specialist staff, IP and roadmaps of Front-End Modules for the IoT and 5G markets. A first product an NB-IoT / CAT-M1 module is already undergoing qualification and will be the inception of a new roadmap of connectivity RF FEM products.

2. China to take 22% of foundry market this yearChinas share of the pure-play foundry market is forecast to be 22% in 2020, 17 percentage points greater than it registered in 2010 (Figure 1). China was responsible for essentially all of the total pure-play foundry market increase in 2018. In 2019, the U.S./China trade war slowed Chinas economic growth but its foundry marketshare still increased by two percentage points to 21%. Japan is expected to remain the smallest market for pure-play foundry sales with only a 5% share this year.

1. Arm committed to hire 490 UK staff by September next yearArm is legally obliged to hire 490 UK-based staff in the next 12 months to meet the commitment undertaken by its owner Softbank when it bought the company in July 2016. Softbank committed to doubling the UK headcount by September 2021. When Softbank bought Arm it had 1,747 UK staff when Softbank bought it. Last week, takeover panel filings last week showed that it had increased UK staff numbers by 262 in the last 12 months to 3,004.

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Most Read articles - LED drivers, Foundry market, Arm staffing - Electronics Weekly