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市场调查报告书
商品编码
1604519

城市规划人工智慧市场：未来预测（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个工作天内

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简介目录

城市规划市场的人工智慧预计将以20.12%的复合年增长率成长，从2024年的205.76亿美元达到2029年的514.5亿美元。

人工智慧城市规划是利用人工智慧和基于人工智慧的技术来解决和管理优化城市发展和管理中的多重挑战和可能性。该市场包括各种基于人工智慧的解决方案、工具和服务，旨在提高都市区的效率、永续性和居住。在城市规划市场，人工智慧的运用有助于优化和整合不同类型的出行解决方案，增强全部区域的能源分配，为全球开发商带来多重效益。

在城市规划中使用基于人工智慧的工具的关键方面包括高效的资料分析和预测建模、智慧基础设施规划以及交通管理和移动解决方案。人工智慧演算法可以熟练地分析大量资料，并帮助检测未来城市景观中预期的模式、趋势和相关性。这包括预测人口成长、交通拥挤加剧、住宅需求增加等。

人工智慧在智慧基础设施设计中也提供了重要的应用，因为它可以用来优化基础设施的布局，同时改善资源配置并提高管理系统的效率。同样，可以在都市区安装不同类型的基于人工智慧的工具和系统，以改善城市的整体流动。例如，基于人工智慧的交通管理解决方案可以追踪正常交通流、侦测拥塞并将交通流转移到替代路线。这些技术还可以帮助建立智慧交通系统，例如自动驾驶汽车和乘车共享平台，从而提高基础设施的效率和弹性。

城市规划人工智慧市场的驱动因素

  • 快速都市化有助于城市规划人工智慧市场的成长

据估计，推动全球人工智慧城市规划市场成长的主要因素是全球快速的都市化。近年来，全球都市区总人口显着增加。不断增长的人口需要有效的城市规划解决方案来应对各种关键挑战，包括交通、住宅、基础设施和永续性。

世界银行在一份报告中表示，过去几年世界城市人口大幅增加。据该组织称，2021年全球城市人口约44.5亿，2022年将增至约45.2亿。到2023年，这一数字将达到46亿人，约占世界总人口的57%。

在市面上提供的各种产品中，Blackshark.ai SYNTH3D 是使用 2D 卫星和航空影像创建的地球表面 3D 模型。它以特定地区的地理典型方式描绘每个国家、城市、结构和细节，包括地形海拔、建筑物、植物群和基础设施，并从 blackshark.ai 的伺服器串流资料，以在运行时创建逼真的图像。快速的都市化给城市规划者带来了挑战和机会。人工智慧技术为复杂的城市发展挑战提供了新颖的答案，在未来创造更永续、更宜居的城市。

城市规划人工智慧市场的地理前景

  • 预计北美将占据城市规划人工智慧市场的主要份额。

北美尤其是美国是创新和人工智慧发展的温床，Urbanistai、Autodesk、TLM, Inc等主要IT公司积极为城市规划等产业打造人工智慧解决方案。北美各国政府正在增加对智慧城市计画和城市发展计画的投资，利用人工智慧和资料分析来改善基础设施、交通系统和公共服务。因此，该地区预计将在城市规划行业的人工智慧中占据重要份额。然而，实际市场动态可能会因当地法律、经济状况和技术改进而有所不同。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖主要和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业明智以及其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业与市场考量、商机评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料与预测（2022-2029）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 收益成长率与预测分析：按细分市场/地区（按国家）
  • 公司概况（策略、产品、财务资讯、主要趋势等）

城市规划人工智慧市场分为以下几个部分：

依部署方式

  • 云
  • 本地

按用途

  • 公共运输
  • 安全监控
  • 废弃物管理
  • 基础建设规划
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 德国
  • 法国
  • 英国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章 分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 城市规划人工智慧市场：依部署方式

  • 介绍
  • 云
  • 本地

第六章 城市规划人工智慧市场：依应用分类

  • 介绍
  • 公共运输
  • 安全监控
  • 废弃物管理
  • 基础建设规划
  • 其他的

第七章 城市规划人工智慧市场：按地区划分

  • 介绍
  • 北美洲
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 南美洲
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 欧洲
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 依部署方式
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 依部署方式
    • 按用途
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 企业合併、协议和业务合作
  • 竞争对手仪表板

第九章 公司简介

  • 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
简介目录
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