AI in Smart Cities Market Size, Share, and Trends 2024 to 2034

The global AI in smart cities market size is calculated at USD 50.63 billion in 2025 and is forecasted to reach around USD 460.47 billion by 2034, accelerating at a CAGR of 27.80% from 2025 to 2034. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : May 2025
  • Report Code : 6030
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI in Smart Cities Market 

5.1. COVID-19 Landscape: AI in Smart Cities Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI in Smart Cities Market, By Application

8.1. AI in Smart Cities Market, by Application

8.1.1 Traffic Management

8.1.1.1. Market Revenue and Forecast

8.1.2. Public Safety and Security

8.1.2.1. Market Revenue and Forecast

8.1.3. Energy Management

8.1.3.1. Market Revenue and Forecast

8.1.4. Infrastructure Management

8.1.4.1. Market Revenue and Forecast

8.1.5. Environmental Monitoring

8.1.5.1. Market Revenue and Forecast

8.1.6. Smart Governance

8.1.6.1. Market Revenue and Forecast

Chapter 9. Global AI in Smart Cities Market, By Technology

9.1. AI in Smart Cities Market, by Technology

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Forecast

9.1.2. Natural Language Processing (NLP)

9.1.2.1. Market Revenue and Forecast

9.1.3. Computer Vision

9.1.3.1. Market Revenue and Forecast

9.1.4. IoT Integration

9.1.4.1. Market Revenue and Forecast

9.1.5. Big Data Analytics

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global AI in Smart Cities Market, By Deployment Mode

10.1. AI in Smart Cities Market, by Deployment Mode

10.1.1. Cloud-based

10.1.1.1. Market Revenue and Forecast

10.1.2. On-Premises

10.1.2.1. Market Revenue and Forecast

Chapter 11. Global AI in Smart Cities Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Application

11.1.2. Market Revenue and Forecast, by Technology

11.1.3. Market Revenue and Forecast, by Deployment Mode

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Application

11.1.4.2. Market Revenue and Forecast, by Technology

11.1.4.3. Market Revenue and Forecast, by Deployment Mode

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Application

11.1.5.2. Market Revenue and Forecast, by Technology

11.1.5.3. Market Revenue and Forecast, by Deployment Mode

11.2. Europe

11.2.1. Market Revenue and Forecast, by Application

11.2.2. Market Revenue and Forecast, by Technology

11.2.3. Market Revenue and Forecast, by Deployment Mode

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Application

11.2.4.2. Market Revenue and Forecast, by Technology

11.2.4.3. Market Revenue and Forecast, by Deployment Mode

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Application

11.2.5.2. Market Revenue and Forecast, by Technology

11.2.5.3. Market Revenue and Forecast, by Deployment Mode

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Application

11.2.6.2. Market Revenue and Forecast, by Technology

11.2.6.3. Market Revenue and Forecast, by Deployment Mode

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Application

11.2.7.2. Market Revenue and Forecast, by Technology

11.2.7.3. Market Revenue and Forecast, by Deployment Mode

11.3. APAC

11.3.1. Market Revenue and Forecast, by Application

11.3.2. Market Revenue and Forecast, by Technology

11.3.3. Market Revenue and Forecast, by Deployment Mode

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Application

11.3.4.2. Market Revenue and Forecast, by Technology

11.3.4.3. Market Revenue and Forecast, by Deployment Mode

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Application

11.3.5.2. Market Revenue and Forecast, by Technology

11.3.5.3. Market Revenue and Forecast, by Deployment Mode

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Application

11.3.6.2. Market Revenue and Forecast, by Technology

11.3.6.3. Market Revenue and Forecast, by Deployment Mode

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Application

11.3.7.2. Market Revenue and Forecast, by Technology

11.3.7.3. Market Revenue and Forecast, by Deployment Mode

11.4. MEA

11.4.1. Market Revenue and Forecast, by Application

11.4.2. Market Revenue and Forecast, by Technology

11.4.3. Market Revenue and Forecast, by Deployment Mode

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Application

11.4.4.2. Market Revenue and Forecast, by Technology

11.4.4.3. Market Revenue and Forecast, by Deployment Mode

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Application

11.4.5.2. Market Revenue and Forecast, by Technology

11.4.5.3. Market Revenue and Forecast, by Deployment Mode

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Application

11.4.6.2. Market Revenue and Forecast, by Technology

11.4.6.3. Market Revenue and Forecast, by Deployment Mode

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Application

11.4.7.2. Market Revenue and Forecast, by Technology

11.4.7.3. Market Revenue and Forecast, by Deployment Mode

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Application

11.5.2. Market Revenue and Forecast, by Technology

11.5.3. Market Revenue and Forecast, by Deployment Mode

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Application

11.5.4.2. Market Revenue and Forecast, by Technology

11.5.4.3. Market Revenue and Forecast, by Deployment Mode

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Application

11.5.5.2. Market Revenue and Forecast, by Technology

11.5.5.3. Market Revenue and Forecast, by Deployment Mode

Chapter 12. Company Profiles

12.1. IBM Corporation

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Huawei Technologies Co., Ltd.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Intel Corporation

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Google

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Microsoft Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Cisco Systems, Inc.

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Siemens AG

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Oracle Corporation

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. SAP SE

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Schneider Electric

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

The global AI in smart cities market size is expected to grow from USD 39.62 billion in 2024 to USD 460.47 billion by 2034.

The AI in smart cities market is anticipated to grow at a CAGR of 27.80% between 2025 and 2034.

The major players operating in the AI in smart cities market are IBM Corporation, Huawei Technologies Co., Ltd., Intel Corporation, Google, Microsoft Corporation, Cisco Systems, Inc., Siemens AG, Oracle Corporation, SAP SE, Schneider Electric, General Electric (GE), and Others.

The driving factors of the AI in smart cities market are the rapid organization drives demand for efficient city management solutions to enhance urban services like traffic control, energy management, and utility management.

North America region will lead the global AI in smart cities market during the forecast period 2025 to 2034.

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