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AI in the Urban Planning Market - Forecasts from 2024 to 2029

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    Report

  • 147 Pages
  • November 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6030790
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.
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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

Companies Mentioned

  • UrbanistAi
  • Autodesk Inc.
  • Space Syntax Limited
  • ArcGIS (ESRI)
  • Cityplain
  • Digital Blue Foam
  • SmartScapes Studio S.L. (Architectures)
  • Bentley Systems
  • DeepBlocks
  • TestFit, Inc.
  • Stesalit Systems Ltd.
  • Deloitte Global

Methodology

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Table Information