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スマートシティへのAIの導入:スマートシティの6部門における利用事例 - ガバナンス・セーフティ&セキュリティ・モビリティ&輸送・エネルギー&資源管理・インフラ管理・ヘルスケア

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

発行 Omdia | Tractica 商品コード 925959
出版日 ページ情報 英文 97 Pages; 67 Tables, Charts & Figures
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スマートシティへのAIの導入:スマートシティの6部門における利用事例 - ガバナンス・セーフティ&セキュリティ・モビリティ&輸送・エネルギー&資源管理・インフラ管理・ヘルスケア 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: 2020年02月18日 ページ情報: 英文 97 Pages; 67 Tables, Charts & Figures
概要

世界のスマートシティAIソフトウェアの収益規模は2019年の6億7380万ドルから、2025年には50億ドルに近い規模に成長すると予測されています。

当レポートでは、スマートシティの主要6部門におけるAIの導入動向を調査し、市場への各種影響因子の分析、関連法規制、AIソフトウェアの導入タイムライン、主要6部門への導入事例、AI導入の技術要件、技術概要、主要参入事業者、導入部門・技術・地域など各種区分別のソフトウェア収益の推移・予測などをまとめています。

第1章 エグゼクティブサマリー

第2章 市場分析

  • 市場概要
  • 市場成長推進因子
  • 市場の障壁
  • 法規制上の課題
  • AIソフトウェアの導入タイムライン
  • AIソフトウェアの導入部門と利用事例
    • ガバナンス
      • ビデオ監視
      • ソーシャルメディアアナリティクス
      • 紙媒体のデジタルデータ化
      • ソーシャルメディア偽情報対策
      • 不動産開発最適化
      • 不動産計画・建設
      • ワークフォース管理・スケジューリング
    • セーフティ&セキュリティ
      • アナリティクスベースの犯罪防止
      • ファーストレスポンダー・災害・緊急管理調整
      • 自動車ナンバー自動読取
    • モビリティ&輸送
      • 航空交通管制・管理
      • 街灯
      • 交通管制・管理
      • ビデオ監視
      • 公共輸送のスケジューリング
      • フリート管理・保守
      • スマートパーキング管理
    • エネルギー&資源管理
      • 廃棄物分別・収集・リサイクリング
      • エネルギー管理・送配電
      • 水管理
    • インフラ管理
      • 市内物的資産管理
    • ヘルスケア
      • PHM (Population Health Management)
      • 汚染監視・制御
  • スマートシティのビジネスモデル
    • 公共支出
    • 民間投資
    • 官民提携
  • 主なスマートシティ展開
    • オースティン (米国)
    • コーラルゲーブルズ・マイアミ (米国)
    • 台湾
    • ラスベガス (米国)
    • モスクワ (ロシア)

第3章 技術概要

  • 技術要件:スマートシティへのAI導入
  • AIの定義
    • 機械学習
    • ディープラーニング
    • 自然言語処理
    • コンピュータビジョン
    • マシンリーズニング
    • 「強いAI」
  • 構造型データ vs 非構造型データ
  • AI学習技術
    • 教師あり学習 vs 教師なし学習
    • 強化学習
    • メタ学習
  • センサー
  • パターン認識
  • 接続技術
    • 4G・5Gセルラー
    • RFID
    • GPS
    • Wi-Fi
  • スマートシティプラットフォーム
    • アーキテクチャタイプ
    • コンテキストデータの可視化
    • 提供価値

第4章 主要参入企業

  • 概要
  • AIプラットフォームベンダー・コンサルタント
    • Amazon (Rekognition)
    • Bonsai
    • Huawei (+AI Digital Platform)
    • IBM Corp.
    • One Concern
    • Sogeti
  • AIソフトウェアベンダー
    • Beyond Limits
    • C3.ai
    • Corti
    • Fracta
    • KETOS
    • Kinestral
    • Kortical
    • mCloud
    • New York Police Department (Patternizr)
    • Nnergix
    • SparkCognition
  • ビル制御ベンダー
    • Johnson Controls Inc.
    • Schneider Electric
    • Siemens
  • エネルギー管理
    • Verdigris Technologies
    • Xcel Energy
  • コンピュータビジョン/顔認識ソフトウェアプロバイダー
    • Currux Vision
    • FaceFirst
    • IntelliVision
    • Rekor Systems
  • モビリティ&輸送企業
    • Beep Mobility
    • Bestmile
    • Perfect Data
    • Rapid Flow Technologies
    • Uber
  • 駐車ソリューションベンダー
    • IPS Group
    • ParkWise
  • 廃棄物管理・リサイクル企業
    • AMP Robotics
    • Bulk Handling Systems
    • TOMRA
    • Xiaohuanggou (中国)

第5章 市場予測

  • 市場潜在性推計
  • スマートシティAIソフトウェア市場
    • 市場規模:産業部門別
    • 収益・主な利用事例
    • 収益:技術別
    • 収益:地域別
  • スマートシティAIソフトウェア部門
    • ガバナンス
    • セーフティ&セキュリティ
    • モビリティ&輸送
    • エネルギー&資源管理
    • インフラ管理
    • ヘルスケア
  • 主なスマートシティAI利用事例:累積収益別
  • 総論・提言

第6章 企業総覧

第7章 用語

第8章 目次

第9章 図表

第10章 調査範囲・情報源・調査手法・注記

目次
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