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Technologies Impacting the Future of Smart Cities

  • ID: 4425771
  • Report
  • September 2017
  • Region: Global
  • 71 Pages
  • Frost & Sullivan
AI, Robots, ADAS, Personalized Healthcare, Distributed Energy Generation Will Drive Efficiency, Connectivity & Urbanization

By 2050, over 80% of the population in developed countries is expected to have moved to cities. This number is expected to be over 60% for the developing world. The creation of smart cities enables a smooth transition to urbanization through the most optimal utilization of resource to maximize value for the participants in the ecosystem. This value may be extrinsic as in financial, or intrinsic such as an improvement in the quality of life, health, convenience, a reduced environmental footprint or savings in time.

What are some technologies that will be most impactful to the evolution of smart cities?

Although there are many more technologies that impact smart cities than covered in this report, this report has aimed to outline the ten technologies that are believed to be most impactful from a variety of tech spaces.

Among These Are:

  • ADAS, which will improve driver connectivity and safety, and enable smart parking solutions
  • Distributed energy generation, which leads to much greater efficiencies in energy management
  • Smart glass, which helps to reduce the environmental footprint of a smart city
  • Wearables, which leads to real-time tracking of health and fitness, and improved patient outcomes
  • Personalized Medicine, to move from a “one-size-fits-all” healthcare model to a more targeted approach
  • High-strength, lightweight materials, which leads to a reduced environmental footprint
  • Robotics, which are expected to increasingly automate dangerous and routine tasks
  • AI, which is expected to create predictive and prescriptive insights from data
  • Small Data, which enables more efficient resource utilization
  • Vertical farming, which will help combat space constraints and weather-related failures
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1. Executive summary
1.1 Research Scope
1.2 Key Findings

2. Personalized Medicine
2.1 Personalization of Healthcare is Made Possible By Studying Patients’ Genomic Make-up, Lifestyle and Clinical Care Records
2.2 Companion Diagnostics Form the Basis of Personalized Medicine, One of the Pillars of Smart Cities
2.3 Patient Stratification Improves Clinical Outcomes and Helps Clinicians Identify Patient Sub-populations Who Are Under-served
2.4 Personalized Healthcare Extends Beyond Conventional Therapies Into Cosmetics, Nutrition, Mental Health and General Well-being

3. Wearable Devices
3.1 Wearable Devices Will Impact All Key Areas of a Smart City - Healthcare, Mobility, Defense and Communications
3.2 Private Investment from VC Firms and VC Arms of Corporates Drive New Products in the Market
3.3 Innovations Abound in Wearable Technology, Opening Up Several Avenues for a Smart City Future
3.4 Miniaturization Will Lead to Complete Integration Into the Wearer’s Body, Leading to Implantable Sensor Devices

4. Smart Glass
4.1 Integration of Smart Glass Can Improve Comfort and Sustainability Quotient of Smart Buildings
4.2 Investment From Large Corporates Drives the Research and Development Efforts on Smart Glass Technologies
4.3 Most of the Innovations are Focused on Smart Buildings
4.4 Development of Advanced Smart Glass Technologies to Facilitate large Scale Adoption

5. High-Strength, Lightweight Materials
5.1 Wide Application Potential can Enhance Use of High-Strength Lightweight Materials in Future Smart Cities
5.2 Most of the High-Strength, Lightweight Materials find Applications in Building and Construction Within Smart Cities
5.3 Legislation, Industry Initiatives and Funding are Focused on Improving Sustainability of Materials
5.4 North America and Europe are Innovation Leaders With Construction, the Main Application of Focus
5.5 Focus is on Improving Scalability and Sustainability Potential Without Compromising on Performance Attributes

6. Distributed Energy Generation
6.1 Sustainable Energy Consumption Has the Strongest Impact on the Distributed Generations Adoption
6.2 Adoption of Distributed Generation Will Have Positive Impact on Energy and Environment Sectors in Smart City
6.3 Residential Buildings in Smart City Powered by Solar PV
6.4 Government Support Development of Distributed Energy Sources
6.5 Future Trends Toward More Advanced Solar and Storage Technologies

7. Vertical Farming
7.1 Vertical Farming Enables Local Food Production in Smart Cities With Low Demand for Energy and Water
7.2 Food and Building and Construction Sectors will be the Most Impactful Areas of Vertical Farming in Smart Cities
7.3 Asian Regions Such as Singapore and China Find Increased Adoption of Vertical Farming Followed by the US
7.4 Funds from the Private Equity and Venture Capital Firms Aid Vertical Farming Companies for Global Expansion
7.5 Technological Innovations Bringing In Automation and Resource Efficiency Will Drive the Adoption of Vertical Farms in Smart Cities
7.6 Key Questions for Strategy Planning

8. Artificial Intelligence
8.1 Impact of Artificial Intelligence on Smart Cities
8.2 Artificial Agents Will Assess the Density of Traffic Using GPS
8.3 Vendors Participating in Developing Smart Cities
8.4 APAC is Targeting 5 Million Electric Vehicles by 2020
8.5 Amsterdam has the Highest Number of Initiatives of Over 170 Projects

9. Small Data
9.1 Impact of Small Data on Smart Cities
9.2 Crime Prediction is One of The Top Most Use Cases of Small Data Analytics
9.3 Vendors Participating in the Developing Smart Cities
9.4 Dubai is Keen on Making First Smart City in the MENA Region
9.5 5G Mobile Communication is Expected to Deliver Better Capacity and Latency

10. ADAS
10.1 ADAS Enables Autonomous Driving and Intelligent Mobility
10.2 Efficient Use of Fuel Leads to Significant Savings in Cost
10.3 Technology Adoption Roadmap - Forecast till 2027
10.4 Intelligent Mobility - Smart Parking, Group Rapid Transit, Intelligent Traffic Management, and Shared Mobility
10.5 Key Innovators and Innovation Profiles

11. Robots
11.1 Emerging Needs and Significance of Robots
11.2 Key Driving Trends - 3D Vision, Social Intelligence
11.3 Key Trending Applications - Cloud, Social, and Autonomous Robots
11.4 Key Innovation Themes - Waste Management, Logistics, Elderly Care, and Hospitality
11.5 Key Innovations - Fire Fighting, Guidance and Cleaning, and Self-repair Robots
11.6 Key Innovations - Digital Mapping, Solid Waste Sorting, and Guide Robots
11.7 Adoption of Robots in Smart Cities - Forecast till 2022
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