PUBLISHER: TechNavio | PRODUCT CODE: 1859875
PUBLISHER: TechNavio | PRODUCT CODE: 1859875
The AI for smart city traffic optimization market is forecasted to grow by USD 37,040.7 mn during 2024-2029, accelerating at a CAGR of 31.5% during the forecast period. The report on the AI for smart city traffic optimization market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating urbanization and resultant traffic congestion, increasing government focus and investment in smart city initiatives, and technological advancements and increasing maturity of enabling technologies.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 29.6% |
| CAGR | 31.5% |
| Incremental Value | $37,040.7 mn |
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
Technavio's AI for smart city traffic optimization market is segmented as below:
By Component
By Application
By Technology
By Geographical Landscape
This study identifies the rise of AI at edge in traffic management as one of the prime reasons driving the AI for smart city traffic optimization market growth during the next few years. Also, convergence of intelligent infrastructure and connected vehicle ecosystems and shift toward cloud-based platforms and traffic management as a service (TMaaS) will lead to sizable demand in the market.
The report on the AI for smart city traffic optimization market covers the following areas:
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading AI for smart city traffic optimization market vendors that include Cisco Systems Inc., Cubic Corp., Currux Vision, Derq Inc., Econolite Control Products Inc., GoodVision Ltd., GridMatrix, Hayden AI Technologies Inc., Indra Sistemas SA, INRIX Inc., International Business Machines Corp., Iteris Inc., Kapsch TrafficCom AG, Miovision Technologies Incorp., NoTraffic Ltd., PTV Planung Transport Verkehr AG, Q Free ASA, Siemens AG, Simplifai Systems Ltd, SWARCO AG, Thales Group, and TomTom NV. Also, the AI for smart city traffic optimization market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
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