Industry: Service & Software
Published Date: 2026-07-14
Pages: 109 Pages
Report ld: 6915178
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The global market for Artificial Intelligence Applications for Smart Cities was estimated to be worth US$ million in 2025 and is projected to reach US$ million, growing at a CAGR of %from 2026 to 2032.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China"s core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China"s data center is less than 1/50 of that of the United States.
This report provides a comprehensive view of the global market for Artificial Intelligence Applications for Smart Cities, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The Artificial Intelligence Applications for Smart Cities market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence Applications for Smart Cities.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the Artificial Intelligence Applications for Smart Cities companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents Artificial Intelligence Applications for Smart Cities revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents Artificial Intelligence Applications for Smart Cities revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
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We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
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TABLE OF CONTENTS
1 Market Overview
1.1 Artificial Intelligence Applications for Smart Cities Product Introduction
1.2 Global Artificial Intelligence Applications for Smart Cities Market Size Forecast (2021–2032)
1.3 Artificial Intelligence Applications for Smart Cities Market Trends & Drivers
1.3.1 Artificial Intelligence Applications for Smart Cities Industry Trends
1.3.2 Artificial Intelligence Applications for Smart Cities Market Drivers & Opportunities
1.3.3 Artificial Intelligence Applications for Smart Cities Market Challenges
1.3.4 Artificial Intelligence Applications for Smart Cities Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence Applications for Smart Cities Players Revenue Ranking (2025)
2.2 Global Artificial Intelligence Applications for Smart Cities Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies Artificial Intelligence Applications for Smart Cities Product Offerings
2.5 Key Companies General Availability (GA) Timeline for Artificial Intelligence Applications for Smart Cities
2.6 Artificial Intelligence Applications for Smart Cities Market Competitive Analysis
2.6.1 Artificial Intelligence Applications for Smart Cities Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by Artificial Intelligence Applications for Smart Cities Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on Artificial Intelligence Applications for Smart Cities revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation Artificial Intelligence Applications for Smart Cities Market Classification
3.1 Introduction by Type
3.1.1 Safety & Security
3.1.2 Mobility & Transportation
3.1.3 Energy & Resource Management
3.1.4 Infrastructure Management
3.1.5 Healthcare
3.1.6 Global Artificial Intelligence Applications for Smart Cities Sales Value by Type
3.1.6.1 Global Artificial Intelligence Applications for Smart Cities Sales Value by Type (2021 vs 2025 vs 2032)
3.1.6.2 Global Artificial Intelligence Applications for Smart Cities Sales Value, by Type (2021–2032)
3.1.6.3 Global Artificial Intelligence Applications for Smart Cities Sales Value, by Type (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Big City
4.1.2 Medium and Small Cities
4.2 Global Artificial Intelligence Applications for Smart Cities Sales Value by Application
4.2.1 Global Artificial Intelligence Applications for Smart Cities Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global Artificial Intelligence Applications for Smart Cities Sales Value by Application (2021–2032)
4.2.3 Global Artificial Intelligence Applications for Smart Cities Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global Artificial Intelligence Applications for Smart Cities Sales Value by Region
5.1.1 Global Artificial Intelligence Applications for Smart Cities Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global Artificial Intelligence Applications for Smart Cities Sales Value by Region (2021–2026)
5.1.3 Global Artificial Intelligence Applications for Smart Cities Sales Value by Region (2027–2032)
5.1.4 Global Artificial Intelligence Applications for Smart Cities Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
5.2.2 North America Artificial Intelligence Applications for Smart Cities Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
5.3.2 Europe Artificial Intelligence Applications for Smart Cities Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
5.4.2 Asia Pacific Artificial Intelligence Applications for Smart Cities Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
5.5.2 South America Artificial Intelligence Applications for Smart Cities Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
5.6.2 Middle East & Africa Artificial Intelligence Applications for Smart Cities Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence Applications for Smart Cities Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.3 United States
6.3.1 United States Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.3.2 United States Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.3.3 United States Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.4.2 Europe Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.5.2 China Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.5.3 China Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.6.2 Japan Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.7.2 South Korea Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.8.2 Southeast Asia Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India Artificial Intelligence Applications for Smart Cities Sales Value, 2021–2032
6.9.2 India Artificial Intelligence Applications for Smart Cities Sales Value by Type (%), 2025 vs 2032
6.9.3 India Artificial Intelligence Applications for Smart Cities Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 Amazon (Rekognition)
7.1.1 Amazon (Rekognition) Profile
7.1.2 Amazon (Rekognition) Main Business
7.1.3 Amazon (Rekognition) Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.1.4 Amazon (Rekognition) Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.1.5 Amazon (Rekognition) Recent Developments
7.2 Bonsai
7.2.1 Bonsai Profile
7.2.2 Bonsai Main Business
7.2.3 Bonsai Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.2.4 Bonsai Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.2.5 Bonsai Recent Developments
7.3 Huawei
7.3.1 Huawei Profile
7.3.2 Huawei Main Business
7.3.3 Huawei Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.3.4 Huawei Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.3.5 Huawei Recent Developments
7.4 IBM Corp.
7.4.1 IBM Corp. Profile
7.4.2 IBM Corp. Main Business
7.4.3 IBM Corp. Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.4.4 IBM Corp. Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.4.5 IBM Corp. Recent Developments
7.5 One Concern
7.5.1 One Concern Profile
7.5.2 One Concern Main Business
7.5.3 One Concern Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.5.4 One Concern Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.5.5 One Concern Recent Developments
7.6 Sogeti
7.6.1 Sogeti Profile
7.6.2 Sogeti Main Business
7.6.3 Sogeti Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.6.4 Sogeti Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.6.5 Sogeti Recent Developments
7.7 Beyond Limits
7.7.1 Beyond Limits Profile
7.7.2 Beyond Limits Main Business
7.7.3 Beyond Limits Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.7.4 Beyond Limits Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.7.5 Beyond Limits Recent Developments
7.8 C3.ai
7.8.1 C3.ai Profile
7.8.2 C3.ai Main Business
7.8.3 C3.ai Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.8.4 C3.ai Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.8.5 C3.ai Recent Developments
7.9 Corti
7.9.1 Corti Profile
7.9.2 Corti Main Business
7.9.3 Corti Artificial Intelligence Applications for Smart Cities Products, Services, and Solutions
7.9.4 Corti Artificial Intelligence Applications for Smart Cities Revenue (US$ Million), 2021–2026
7.9.5 Corti Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence Applications for Smart Cities Value Chain
8.2 Artificial Intelligence Applications for Smart Cities Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 Artificial Intelligence Applications for Smart Cities Sales Model
8.5.2 Sales Channels
8.5.3 Artificial Intelligence Applications for Smart Cities Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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