AI In The Urban Planning Market Size, Share, Opportunities, And Trends By Deployment (Cloud, On-Premise), By Application (Public Transport, Security monitoring, Waste management, Infrastructure planning, Others), And By Geography - Forecasts From 2024 To 2029

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.

What are 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.

• Developments of Smart City projects

Smart city development transforms urban services and quality of life by incorporating AI into urban planning, notably in areas such as smart transit, infrastructure, energy management, and governance, improving urban services. Among various products, one of the products is CitySwift Explore, which is a complete solution for breaking down bus network data silos, resulting in enhanced service delivery, detailed reporting, and more openness and visibility across different operators and routes.

Smart city development encourages AI use in urban planning for data-driven decision-making, predictive analytics, resource management, transportation solutions, public involvement, safety improvements, and urban resilience projects. The demand for AI-driven urban planning solutions is predicted to increase.

Geographical outlook of AI in the urban planning market

• 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.

Major players and products in AI in the urban planning market

• ArcGIS Urban is a web-based 3D program that enables planners and design professionals to collaborate on housing availability, sustainability goals, and economic trends. It streamlines land use and zoning planning, saves time and money, and encourages a more sustainable future. The program supports on-the-fly situations, provides simple visualizations, and expands its reach through online comments and polls.
• Rhino is a landscape design application that combines 3D modeling skills with Grasshopper's parametric tools and plugins. It enables users to develop sophisticated 3D projects with terrains, vegetation, and parametric objects while displaying realistic visuals and tour animations.

Key developments in AI in the urban planning market:

• In February 2024, CitySwift secured €14.5 million in a €7 million investment round headed by Gresham House Ventures, with previous investors including aCT Venture Capital, Irelandia Investments, and the Western Development Commission. The investment would speed up platform development, create intelligent data solutions, and deliver personalized client assistance.
• In January 2024, Deloitte, a global technological leader, launched the Geospatial and AI Scenario Planning and Monitoring platform, which is powered by Google Cloud. The company will use the Google Earth Engine, integrated with AI, allowing users to make sustainable decisions and improve the urban planning and infrastructure development process.
• In November 2023, Eagle 3D Streaming and blackshark.ai collaborated to build a geographic 3D digital twin that could be accessed through any web browser. The real-time, realistic, and semantic twin enables users to explore any environment in photorealistic 3D, which benefits businesses and industries. Eagle 3D Streaming provided real-timed visualization, seamless access, collaboration, cost-effectiveness, scalability, and increased accessibility.

AI In The Urban Planning Market Scope:

Report Metric	Details
AI In The Urban Planning Market Size in 2024	US$20.576 billion
AI In The Urban Planning Market Size in 2029	US$51.450 billion
Growth Rate	CAGR of 20.12%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Billion
Segmentation	Deployment Application Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI In The Urban Planning Market	UrbanistAi Autodesk Inc. Space Syntax Limited ArcGIS (ESRI) Cityplain
Customization Scope	Free report customization with purchase

 

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

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

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