查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1604519

城市規劃人工智慧市場：未來預測（2024-2029）

AI in the Urban Planning Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 147 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

城市規劃市場的人工智慧預計將以20.12%的複合年成長率成長，從2024年的205.76億美元達到2029年的514.5億美元。

人工智慧城市規劃是利用人工智慧和基於人工智慧的技術來解決和管理最佳化城市發展和管理中的多重挑戰和可能性。該市場包括各種基於人工智慧的解決方案、工具和服務，旨在提高都市區的效率、永續性和居住。在城市規劃市場，人工智慧的運用有助於最佳化和整合不同類型的出行解決方案，增強全部區域的能源分配，為全球開發商帶來多重效益。

在城市規劃中使用基於人工智慧的工具的關鍵方面包括高效的資料分析和預測建模、智慧基礎設施規劃以及交通管理和移動解決方案。人工智慧演算法可以熟練地分析大量資料，並幫助檢測未來城市景觀中預期的模式、趨勢和相關性。這包括預測人口成長、交通擁擠加劇、住宅需求增加等。

人工智慧在智慧基礎設施設計中也提供了重要的應用，因為它可以用來最佳化基礎設施的佈局，同時改善資源配置並提高管理系統的效率。同樣，可以在都市區安裝不同類型的基於人工智慧的工具和系統，以改善城市的整體流動。例如，基於人工智慧的交通管理解決方案可以追蹤正常交通流、偵測擁塞並將交通流轉移到替代路線。這些技術還可以幫助建立智慧交通系統，例如自動駕駛汽車和乘車共享平台，從而提高基礎設施的效率和彈性。

城市規劃人工智慧市場的促進因素

  • 快速都市化有助於城市規劃人工智慧市場的成長

據估計，推動全球人工智慧城市規劃市場成長的主要因素是全球快速的都市化。近年來，全球都市區總人口顯著增加。不斷成長的人口需要有效的城市規劃解決方案來應對各種關鍵挑戰，包括交通、住宅、基礎設施和永續性。

世界銀行在一份報告中表示，過去幾年世界城市人口大幅增加。據該組織稱，2021年全球城市人口約44.5億，2022年將增至約45.2億。到2023年，這一數字將達到46億人，約佔世界總人口的57%。

在市面上提供的各種產品中，Blackshark.ai SYNTH3D 是使用 2D 衛星和航空影像創建的地球表面 3D 模型。它以特定地區的地理典型方式描繪每個國家、城市、結構和細節，包括地形海拔、建築物、植物群和基礎設施，並從 blackshark.ai 的伺服器串流資料，以在運行時創建逼真的圖像。快速的都市化給城市規劃者帶來了挑戰和機會。人工智慧技術為複雜的城市發展挑戰提供了新穎的答案，在未來創造更永續、更宜居的城市。

城市規劃人工智慧市場的地理前景

  • 預計北美將佔據城市規劃人工智慧市場的主要佔有率。

北美尤其是美國是創新和人工智慧發展的溫床，Urbanistai、Autodesk、TLM, Inc等主要IT公司積極為城市規劃等產業打造人工智慧解決方案。北美各國政府正在增加對智慧城市計畫和城市發展計畫的投資，利用人工智慧和資料分析來改善基礎設施、交通系統和公共服務。因此，該地區預計將在城市規劃行業的人工智慧中佔據重要佔有率。然而，實際市場動態可能會因當地法律、經濟狀況和技術改進而有所不同。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋主要和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業明智以及其他子區隔。
  • 競爭格局：了解世界主要企業採取的策略策略，並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響未來市場發展。
  • 可行的建議：利用洞察力做出策略決策，以在動態環境中發現新的業務流和收益。
  • 受眾廣泛：對於新興企業、研究機構、顧問、中小企業和大型企業有用且具有成本效益。

它有什麼用？

產業與市場考量、商機評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料與預測（2022-2029）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 收益成長率與預測分析：按細分市場/地區（按國家）
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

城市規劃人工智慧市場分為以下幾個部分：

依部署方式

  • 雲
  • 本地

按用途

  • 公共運輸
  • 安全監控
  • 廢棄物管理
  • 基礎建設規劃
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 其他
  • 中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 印尼
  • 台灣
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章 分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 城市規劃人工智慧市場：依部署方式

  • 介紹
  • 雲
  • 本地

第6章 城市規劃人工智慧市場：依應用分類

  • 介紹
  • 公共運輸
  • 安全監控
  • 廢棄物管理
  • 基礎建設規劃
  • 其他

第7章 城市規劃人工智慧市場：按地區分類

  • 介紹
  • 北美洲
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 南美洲
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 歐洲
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 依部署方式
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 依部署方式
    • 按用途
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 企業合併、協議和業務合作
  • 競爭對手儀表板

第9章 公司簡介

  • UrbanistAi
  • Autodesk Inc.
  • Space Syntax Limited
  • ArcGIS (ESRI)
  • Cityplain
  • Digital Blue Foam
  • SmartScapes Studio SL (Architectures)
  • Bentley Systems
  • DeepBlocks
  • TestFit, Inc.
  • Stesalit Systems Ltd.
  • Deloitte Global
簡介目錄
Product Code: KSI061616767

The AI in the urban planning market is forecasted to witness a growth of CAGR of 20.12%, to reach US$51.450 billion by 2029, from US$20.576 billion in 2024.

AI in urban planning is the utilization of artificial intelligence or AI-based technology to counter and manage multiple challenges and possibilities in optimum urban development and administration. This market includes a wide spectrum of AI-based solutions, tools, and services aimed at improving the efficiency, sustainability, and livability of urban areas. In the urban planning market, the use of AI offers multiple benefits to developers worldwide, as it helps in optimizing and integrating various types of mobility solutions and enhances energy distribution across the area.

Some key aspects of using AI-based tools in urban planning include efficient data analysis and predictive modeling, smart infrastructure planning, and traffic management and mobility solutions. The AI algorithms proficiently analyze massive amounts of data, which can help in detecting patterns, trends, and correlations anticipated in future urban landscapes. These include predictions about increased population, rising transportation congestion, and growing housing demand.

Artificial intelligence also offers key applications in smart infrastructure design, as it can be used to optimize infrastructural layouts while improving resource allocation and increasing the administrative system's efficiency. Similarly, various types of AI-based tools and systems can also be installed across urban locations to improve the overall flow of the city. For instance, an AI-based traffic management solution can track the regular traffic flow, detect congestion, and reroute the traffic flow to alternate routes. Such technologies can also help to build intelligent transportation systems, such as self-driving cars and ride-sharing platforms, which improve infrastructure efficiency and resilience.

AI in the urban planning market drivers

  • Rapid urbanization is contributing to AI in the Urban Planning market growth

A major factor boosting the global AI in the urban planning market growth is estimated to be the rapidly increasing urbanization worldwide. In recent years, the globe has witnessed massive growth in its total urban population. This rise in population necessitates the need for effective urban planning solutions, which can address various key challenges like transportation, housing, infrastructure, and sustainability challenges.

The World Bank, in its report, stated that the total urban population worldwide witnessed a massive increase in the past few years. The organization stated that in 2021, the total urban population of the globe was recorded at about 4.45 billion, which increased to about 4.52 billion in 2022. In 2023, this figure reached 4.6 billion, accounting for about 57% of the total global population.

Among various products available in the market, Blackshark.ai SYNTH3D is a 3D model of the planet's surface created using 2D satellite and aerial images. It contains topography elevation, buildings, plant coverage, and infrastructure, depicting each nation, city, structure, and detail in a region-specific, geo-typical manner, with data streamed from blackshark.ai servers and turned into a realistic scene at runtime. Rapid urbanization poses both difficulties and possibilities for urban planners, and AI technologies provide novel answers to complicated urban development concerns and produce more sustainable, livable cities in the future.

AI in the urban planning market geographical outlook

  • North America is forecasted to hold a major share of AI in the urban planning market.

North America, particularly the United States, is a hotbed of technological innovation and AI development, with major IT businesses such as Urbanistai, Autodesk, and TLM, Inc. actively creating AI solutions for industries such as urban planning. North American governments are expanding their investments in smart city programs and urban development initiatives that use AI and data analytics to improve infrastructure, transportation systems, and public services. Hence, the region is anticipated to hold a significant share of AI in the urban planning industry. However, real market dynamics might differ depending on regional legislation, economic situations, and technology improvements.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The AI In The Urban Planning Market is analyzed into the following segments:

By Deployment

  • Cloud
  • On-Premise

By Application

  • Public Transport
  • Security monitoring
  • Waste management
  • Infrastructure planning
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • UK
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN URBAN PLANNING MARKET BY DEPLOYMENT

  • 5.1. Introduction
  • 5.2. Cloud
  • 5.3. On-Premise

6. AI IN URBAN PLANNING MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Public Transport
  • 6.3. Security monitoring
  • 6.4. Waste management
  • 6.5. Infrastructure planning
  • 6.6. Others

7. AI IN URBAN PLANNING MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.1. North America
    • 7.1.1. By Deployment
    • 7.1.2. By Application
    • 7.1.3. By Country
      • 7.1.3.1. United States
      • 7.1.3.2. Canada
      • 7.1.3.3. Others
  • 7.2. South America
    • 7.2.1. By Deployment
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. Brazil
      • 7.2.3.2. Argentina
      • 7.2.3.3. Others
  • 7.3. Europe
    • 7.3.1. By Deployment
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Germany
      • 7.3.3.2. France
      • 7.3.3.3. United Kingdom
      • 7.3.3.4. Spain
      • 7.3.3.5. Others
  • 7.4. Middle East and Africa
    • 7.4.1. By Deployment
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. Saudi Arabia
      • 7.4.3.2. UAE
      • 7.4.3.3. Israel
      • 7.4.3.4. Others
  • 7.5. Asia Pacific
    • 7.5.1. By Deployment
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. China
      • 7.5.3.2. Japan
      • 7.5.3.3. India
      • 7.5.3.4. South Korea
      • 7.5.3.5. Indonesia
      • 7.5.3.6. Taiwan
      • 7.5.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. UrbanistAi
  • 9.2. Autodesk Inc.
  • 9.3. Space Syntax Limited
  • 9.4. ArcGIS (ESRI)
  • 9.5. Cityplain
  • 9.6. Digital Blue Foam
  • 9.7. SmartScapes Studio S.L. (Architectures)
  • 9.8. Bentley Systems
  • 9.9. DeepBlocks
  • 9.10. TestFit, Inc.
  • 9.11. Stesalit Systems Ltd.
  • 9.12. Deloitte Global