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市場調查報告書

將AI引進智慧城市:在智慧城市的6部門的使用案例 - 治理、安全與隱私、交通與運輸、能源與資源管理、基礎建設管理、醫療保健

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

出版商 Omdia | Tractica 商品編碼 925959
出版日期 內容資訊 英文 97 Pages; 67 Tables, Charts & Figures
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價格
將AI引進智慧城市:在智慧城市的6部門的使用案例 - 治理、安全與隱私、交通與運輸、能源與資源管理、基礎建設管理、醫療保健 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
出版日期: 2020年02月18日內容資訊: 英文 97 Pages; 67 Tables, Charts & Figures
簡介

全球的智慧城市AI軟體獲益規模,預測將從2019年的6億7380萬美元,於2025年成長至接近50億美元的規模。

本報告調查智慧城市主要6部門的AI引進動向,並統整了對市場各種影響因素的分析、相關法規、AI軟體引進時間表、對主要6部門的引進案例、引進AI的技術條件、技術概要、主要參與業者、引進部門、技術、地區等各種區分別的軟體獲益變化及預測等。

第1章 執行摘要

第2章 市場分析

  • 市場概況
  • 市場成長促進因素
  • 市場障礙
  • 法規上的課題
  • AI軟體的引進時間表
  • AI軟體的引進部門與使用案例
    • 治理
      • 影像監視
      • 社群媒體分析
      • 紙本媒體數位資料化
      • 社群媒體假資訊對策
      • 不動產開發最佳化
      • 不動產計畫、建設
      • 勞動力管理、排程
    • 安全與隱私
      • 分析基礎的防止犯罪
      • 初期應變人員、災害、緊急管理調整
      • 自動讀取汽車車牌號碼
    • 交通與運輸
      • 飛航管制、管理
      • 路燈
      • 交通管制、管理
      • 影像監視
      • 公共運輸排程
      • 車隊管理、維護
      • 智慧停車管理
    • 能源與資源管理
      • 垃圾分類、收集、回收
      • 能源管理、送電配電
      • 水管理
    • 基礎建設管理
      • 市內物產管理
    • 醫療保健
      • PHM (Population Health Management)
      • 汙染監管、控制
  • 智慧城市商業模式
    • 公共支出
    • 民間投資
    • 官民合作
  • 主要智慧城市發展
    • 奧斯汀 (美國)
    • 邁阿密 科勒爾蓋布爾斯 (美國)
    • 臺灣
    • 拉斯維加斯 (美國)
    • 莫斯科 (俄國)

第3章 技術概要

  • 技術條件:將AI引進智慧城市
  • AI的定義
    • 機器學習
    • 深度學習
    • 自然語言處理
    • 電腦視覺
    • Machine Reasoning
    • 「強AI」
  • 結構型資料 vs 非結構型資料
  • AI學習技術
    • 有教師的學習 vs 無教師的學習
    • 強化學習
    • 元學習
  • 感測器
  • 模式辨認
  • 連線技術
    • 4G、5G蜂巢式
    • RFID
    • GPS
    • Wi-Fi
  • 智慧城市平台
    • 電腦系統結構類型
    • 語境資料視覺化
    • 供應價值

第4章 主要參與企業

  • 概述
  • AI平台供應商、顧問
    • Amazon (Rekognition)
    • Bonsai
    • Huawei (+AI Digital Platform)
    • IBM Corp.
    • One Concern
    • Sogeti
  • AI軟體供應商
    • Beyond Limits
    • C3.ai
    • Corti
    • Fracta
    • KETOS
    • Kinestral
    • Kortical
    • mCloud
    • New York Police Department (Patternizr)
    • Nnergix
    • SparkCognition
  • 大樓控制供應商
    • Johnson Controls Inc.
    • Schneider Electric
    • Siemens
  • 能源管理
    • Verdigris Technologies
    • Xcel Energy
  • 電腦視覺/臉部辨識軟體供應商
    • Currux Vision
    • FaceFirst
    • IntelliVision
    • Rekor Systems
  • 交通與運輸企業
    • Beep Mobility
    • Bestmile
    • Perfect Data
    • Rapid Flow Technologies
    • Uber
  • 停車解決方案供應商
    • IPS Group
    • ParkWise
  • 廢棄物管理、回收公司
    • AMP Robotics
    • Bulk Handling Systems
    • TOMRA
    • Xiaohuanggou (中國)

第5章 市場預測

  • 市場潛力推估
  • 智慧城市AI軟體市場
    • 市場規模:產業部門別
    • 獲益、主要使用案例
    • 獲益:技術別
    • 獲益:地區別
  • 智慧城市AI軟體部門
    • 治理
    • 安全與隱私
    • 交通與運輸
    • 能源與資源管理
    • 基礎建設管理
    • 醫療保健
  • 主要智慧城市AI使用案例:累積獲益別
  • 總論、建議

第6章 企業總覽

第7章 用語

第8章 目錄

第9章 圖表

第10章 調查範圍、情報來源、調查方法、註記

目錄
Product Code: AISC-20

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.

Key Questions Addressed:

  • What are the key use cases for AI within the smart city, and which sectors will experience the most revenue growth between 2019 and 2025?
  • Which use cases are projected to be adopted in the near term, and which ones will not see strong use until later in the forecast period?
  • What are the key drivers of smart city AI software adoption in each industry and technology category?
  • Which underlying AI technologies (vision, language, and analytics) are powering the smart city AI use cases?
  • What barriers exist in the marketplace, and how will they affect the adoption of AI technology?
  • Which regions of the world will see the most activity with smart city AI projects?
  • Which companies are actively supplying AI software and services to the public sector?

Who Needs This Report?

  • AI technology companies
  • Software companies
  • Police departments
  • Transportation product vendors
  • Service providers and systems integrators
  • Construction companies
  • Capital finance companies
  • City government consultants and law firms
  • Government agencies
  • Investor community

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Drivers
  • 1.3. Market Barriers
  • 1.4. Key Takeaways
  • 1.5. Market Forecasts
  • 2. Market Issues
  • 2.1. Market Overview
  • 2.2. Market Drivers
    • 2.2.1. Desire for More Visibility and Control over Municipal Systems
    • 2.2.2. Demand for More Efficient Systems
    • 2.2.3. Demand to Control Costs
    • 2.2.4. Availability of IoT and Citizen-Provided Data
    • 2.2.5. Technology Improvements (5G, AI, Edge Processing, Advanced Analytics)
  • 2.3. Market Barriers
    • 2.3.1. Application Development Challenges
    • 2.3.2. Technology Development Costs
    • 2.3.3. Privacy Concerns
    • 2.3.4. Bias in Algorithms
    • 2.3.5. Impact of Regulation
    • 2.3.6. Level of Consumer/Business/Government Inertia and Lack of Awareness
    • 2.3.7. Costs and Business Model Opacity
    • 2.3.8. Security Concerns
    • 2.3.9. Concerns about Suitability of AI
    • 2.3.10. Smart Cities May Not Have Enough Data
  • 2.4. Regulatory Issues
    • 2.4.1. Privacy
    • 2.4.2. Liability
    • 2.4.3. Automotive and Transportation Regulations
    • 2.4.4. Data and System Security
    • 2.4.5. Implementation Goals
  • 2.5. AI Software Adoption Timeline
  • 2.6. AI Software Sectors and Use Cases
    • 2.6.1. Governance
      • 2.6.1.1. Video Surveillance
      • 2.6.1.2. Social Media Analytics
      • 2.6.1.3. Converting Paperwork into Digital Data
      • 2.6.1.4. Fighting Social Media Disinformation
      • 2.6.1.5. Real Estate Development Optimization
      • 2.6.1.6. Real Estate Planning and Construction
      • 2.6.1.7. Workforce Management & Scheduling
    • 2.6.2. Safety & Security
      • 2.6.2.1. Analytics-Based Crime Prevention
      • 2.6.2.2. First Responder, Disaster, & Emergency Management Coordination
      • 2.6.2.3. License Plate Recognition
    • 2.6.3. Mobility & Transportation
      • 2.6.3.1. Air Traffic Control and Management
      • 2.6.3.2. Street Lighting
      • 2.6.3.3. Traffic Control & Management
      • 2.6.3.4. Video Surveillance
      • 2.6.3.5. Scheduling of Public Transport
      • 2.6.3.6. Fleet Management and Maintenance
      • 2.6.3.7. Smart Parking Management
    • 2.6.4. Energy & Resource Management
      • 2.6.4.1. Waste Sorting, Collection, and Recycling
      • 2.6.4.2. Energy Management & Distribution
      • 2.6.4.3. Water Management
    • 2.6.5. Infrastructure Management
      • 2.6.5.1. Citywide Physical Asset Management
    • 2.6.6. Healthcare
      • 2.6.6.1. Population Health Management
      • 2.6.6.2. Pollution Monitoring and Control
  • 2.7. Smart City Business Models
    • 2.7.1. Public Spending
    • 2.7.2. Private Investment
    • 2.7.3. Public-Private Partnerships
  • 2.8. Selected Smart City Deployments
    • 2.8.1. Austin, Texas (U.S.)
    • 2.8.2. Coral Gables and Miami, Florida (U.S.)
    • 2.8.3. Taiwan
    • 2.8.4. Las Vegas, Nevada (U.S.)
    • 2.8.5. Moscow (Russia)

3. Technology Issues

  • 3.1. Technological Requirements for Bringing AI to a Smart City
  • 3.2. Definition of AI
    • 3.2.1. Machine Learning
    • 3.2.2. Deep Learning
    • 3.2.3. Natural Language Processing
    • 3.2.4. Computer Vision
    • 3.2.5. Machine Reasoning
      • 3.2.5.1. Predictive Application Programming Interfaces
    • 3.2.6. Strong AI
  • 3.3. Structured Data vs. Unstructured Data
  • 3.4. AI Learning Techniques
    • 3.4.1. Supervised vs. Unsupervised Learning
    • 3.4.2. Reinforcement Learning
    • 3.4.3. Meta Learning
  • 3.5. Sensors
  • 3.6. Pattern Recognition
  • 3.7. Connectivity Technology
    • 3.7.1. 4G and 5G Cellular
    • 3.7.2. Radio Frequency Identification
    • 3.7.3. Global Positioning System
    • 3.7.4. Wi-Fi
  • 3.8. Smart City Platforms
    • 3.8.1. Architecture Types
    • 3.8.2. Contextual Data Visualization
    • 3.8.3. Value Proposition

4. Key Industry Players

  • 4.1. Overview
  • 4.2. AI Platform Vendors and Consultants
    • 4.2.1. Amazon (Rekognition)
    • 4.2.2. Bonsai
    • 4.2.3. Huawei (+AI Digital Platform)
    • 4.2.4. IBM Corp.
    • 4.2.5. One Concern
    • 4.2.6. Sogeti
  • 4.3. AI Software Vendors
    • 4.3.1. Beyond Limits
    • 4.3.2. C3.ai
    • 4.3.3. Corti
    • 4.3.4. Fracta
    • 4.3.5. KETOS
    • 4.3.6. Kinestral
    • 4.3.7. Kortical
    • 4.3.8. mCloud
    • 4.3.9. New York Police Department (Patternizr)
    • 4.3.10. Nnergix
    • 4.3.11. SparkCognition
  • 4.4. Building Controls Vendors
    • 4.4.1. Johnson Controls Inc.
    • 4.4.2. Schneider Electric
    • 4.4.3. Siemens
  • 4.5. Energy Management
    • 4.5.1. Verdigris Technologies
    • 4.5.2. Xcel Energy
  • 4.6. Computer Vision/Facial Recognition Software Providers
    • 4.6.1. Currux Vision
    • 4.6.2. FaceFirst
    • 4.6.3. IntelliVision
    • 4.6.4. Rekor Systems
  • 4.7. Mobility & Transportation Companies
    • 4.7.1. Beep Mobility
    • 4.7.2. Bestmile
    • 4.7.3. Perfect Data
    • 4.7.4. Rapid Flow Technologies
    • 4.7.5. Uber
  • 4.8. Parking Solutions Vendors
    • 4.8.1. IPS Group
    • 4.8.2. ParkWise
  • 4.9. Waste Management/Recycling Companies
    • 4.9.1. AMP Robotics
    • 4.9.2. Bulk Handling Systems
    • 4.9.3. TOMRA
    • 4.9.4. Xiaohuanggou (China)

5. Market Forecasts

  • 5.1. Estimating the Market Potential for Smart City AI Software Applications
  • 5.2. Global Smart City AI Software Market
    • 5.2.1. Smart City AI Software Market Size by Industry Sector, World Markets
    • 5.2.2. Smart City AI Software Revenue and Leading Use Cases
    • 5.2.3. Smart City AI Software Revenue by Technology, World Markets
    • 5.2.4. Smart City AI Software Revenue: North America
    • 5.2.5. Smart City AI Software Revenue: Europe
    • 5.2.6. Smart City AI Software Revenue: Asia Pacific
    • 5.2.7. Smart City AI Software Revenue: Latin America
    • 5.2.8. Smart City AI Software Revenue: Middle East & Africa
  • 5.3. Smart City AI Software Sectors
    • 5.3.1. Smart City Governance AI Software Revenue
    • 5.3.2. Smart City Safety & Security AI Software Revenue
    • 5.3.3. Smart City Mobility & Transportation AI Software Revenue
    • 5.3.4. Smart City Energy & Resource Management AI Software Revenue
    • 5.3.5. Smart City Infrastructure Management AI Software Revenue
    • 5.3.6. Smart City Healthcare AI Software Revenue
  • 5.4. Leading Smart City AI Use Cases by Cumulative Revenue
  • 5.5. Conclusions and Recommendations

6. Company Directory

7. Acronym and Abbreviation List

8. Table of Contents

9. Table of Charts and Figures

10. Scope of Study, Sources and Methodology, Notes

Tables

  • Top Five Smart City AI Software Use Cases by Cumulative Revenue, World Markets: 2019-2025
  • Smart City AI Software Revenue by Sector, World Market: 2019- 2025
  • Smart City AI Software Revenue by Use Case, World Market: 2019-2025
  • Smart City AI Software Revenue by Technology, World Market: 2019-2025
  • Smart City AI Software Revenue by Sector, North America: 2019- 2025
  • Smart City AI Software Revenue by Use Case, North America: 2019-2025
  • Smart City AI Software Revenue by Sector, Europe: 2019-2025
  • Smart City AI Software Revenue by Use Case, Europe: 2019-2025
  • Smart City AI Software Revenue by Sector, Asia Pacific: 2019- 2025
  • Smart City AI Software Revenue by Use Case, Asia Pacific: 2019- 2025
  • Smart City AI Software Revenue by Sector, Latin America: 2019- 2025
  • Smart City AI Software Revenue by Use Case, Latin America: 2019-2025
  • Top Five Smart City AI Software Use Cases by Cumulative Revenue, World Markets: 2019-2025
  • Smart City AI Software Revenue by Sector, World Market: 2019- 2025
  • Smart City AI Software Revenue by Use Case, World Market: 2019-2025
  • Smart City AI Software Revenue by Technology, World Market: 2019-2025
  • Smart City AI Software Revenue by Sector, North America: 2019- 2025
  • Smart City AI Software Revenue by Use Case, North America: 2019-2025
  • Smart City AI Software Revenue by Sector, Europe: 2019-2025
  • Smart City AI Software Revenue by Use Case, Europe: 2019-2025
  • Smart City AI Software Revenue by Sector, Asia Pacific: 2019- 2025
  • Smart City AI Software Revenue by Use Case, Asia Pacific: 2019- 2025
  • Smart City AI Software Revenue by Sector, Latin America: 2019- 2025
  • Smart City AI Software Revenue by Use Case, Latin America: 2019-2025
  • Smart City AI Software Revenue by Sector, Middle East & Africa: 2019-2025
  • Smart City AI Software Revenue by Use Case, Middle East & Africa: 2019-2025
  • Smart City Governance AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Safety & Security AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Mobility & Transportation AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Energy & Resource Management AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Infrastructure Management AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Healthcare AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, World Markets: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, North America: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, Europe: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, Asia Pacific: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, Latin America: 2019-2025
  • Smart City AI Software Revenue by Industry, Sector, and Use Case, Middle East & Africa: 2019-2025
  • Top 10 Smart City AI Software Use Cases by Cumulative Revenue, World Markets: 2019-2025
  • Smart City AI Software Revenue by Technology, North America: 2019-2025
  • Smart City AI Software Revenue by Technology, Europe: 2019-2025
  • Smart City AI Software Revenue by Technology, Asia Pacific: 2019-2025
  • Smart City AI Software Revenue by Technology, Latin America: 2019-2025
  • Smart City AI Software Revenue by Technology, Middle East & Africa: 2019-2025

Charts

  • Top Five Smart City AI Software Use Cases by Cumulative Revenue, World Markets: 2019-2025
  • Smart City AI Software Revenue by Sector, World Market: 2019-2025
  • Smart City AI Software Revenue Share by Use Case, World Markets: 2019
  • Smart City AI Software Revenue Share by Use Case, World Markets: 2025
  • Smart City AI Software Revenue by Technology, World Market: 2019-2025
  • Smart City AI Software Revenue by Sector, North America: 2019-2025
  • Smart City AI Software Revenue by Use Case, North America: 2019-2025
  • Smart City AI Software Revenue by Sector, Europe: 2019-2025
  • Smart City AI Software Revenue by Use Case, Europe: 2019-2025
  • Smart City AI Software Revenue by Sector, Asia Pacific: 2019-2025
  • Smart City AI Software Revenue by Use Case, Asia Pacific: 2019-2025
  • Smart City AI Software Revenue by Sector, Latin America: 2019-2025
  • Smart City AI Software Revenue by Use Case, Latin America: 2019-2025
  • Smart City AI Software Revenue by Sector, Middle East & Africa: 2019-2025
  • Smart City AI Software Revenue by Use Case, Middle East & Africa: 2019-2025
  • Smart City Governance AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Safety & Security AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Mobility & Transportation AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Energy & Resource Management AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Infrastructure Management AI Software Revenue by Region, World Markets: 2019-2025
  • Smart City Healthcare AI Software Revenue by Region, World Markets: 2019-2025 Top 10 Smart City AI Software Use Cases by Cumulative Revenue, World Markets: 2019-2025
  • Smart City Governance AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City Safety & Security AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City Energy & Resource Management AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City Infrastructure Management AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City Healthcare AI Software Revenue by Use Case, World Markets: 2019-2025 Mobility & Transportation AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City Real Estate AI Software Revenue by Use Case, World Markets: 2019-2025
  • Smart City AI Software Revenue by Technology, North America: 2019-2025
  • Smart City AI Software Revenue by Technology, Europe: 2019- 2025
  • Smart City AI Software Revenue by Technology, Asia Pacific: 2019-2025
  • Smart City AI Software Revenue by Technology, Latin America: 2019-2025
  • Smart City AI Software Revenue by Technology, Middle East & Africa: 2019-2025

Figures

  • Global AI Software Deployment Timeline by Sector and Use Case: 2019-2025