Market Research Report
Artificial Intelligence Applications for Smart Cities: 23 Use Cases across Six Smart City Sectors: Governance, Safety & Security, Mobility & Transportation, Energy & Resource Management, Infrastructure Management, and Healthcare
|Published by||OMDIA||Product code||925959|
|Published||Content info||97 Pages; 67 Tables, Charts & Figures
Delivery time: 1-2 business days
|Artificial Intelligence Applications for Smart Cities: 23 Use Cases across Six Smart City Sectors: Governance, Safety & Security, Mobility & Transportation, Energy & Resource Management, Infrastructure Management, and Healthcare|
|Published: February 18, 2020||Content info: 97 Pages; 67 Tables, Charts & Figures||
The concept of a smart city has been around for decades, driven by a utopian vision of city systems, services, workers, and residents functioning in synchronicity for a more efficient, safer, and productive environment. Artificial intelligence (AI) will likely be the catalyst for enabling the smart city. Smart cities will use machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP) technologies (among others) to enable city services, assets, and systems to become more powerful, efficient, and automated. These improvements will result in an enhanced environment in which to live, work, and play.
Most city planners and departments are focused on operational, fiscal, or quality of life issues. Today's cities are expected to evolve so that the business and residential experience is efficient and cost-effective. Failure to address quality of life issues will result in businesses, residents, and tourists seeking out other cities or choosing to reside and work in the suburbs or exurbs. The goal is to create city systems and services that operate more efficiently and provide significant benefits. These benefits can come in many forms, including reduced or more efficient traffic, cleaner air, more efficient government services, and reduced crime. Tractica forecasts that global smart city AI software revenue will reach nearly $5 billion annually by 2025, up from $673.8 million in 2019.
This Tractica report provides a quantitative assessment of the market opportunity for smart city AI applications. The study includes analyses of 23 AI use cases distributed across six industry sectors: governance, safety & security, mobility & transportation, energy & resource management, infrastructure management, and healthcare. Each use case is described in detail, along with real-world examples of technology being deployed in smart cities around the world. Global market forecasts, segmented by technology, geography, sector, industry, and use case, extend through 2025. Profiles of 37 companies active in the smart city AI space are also included in the report.