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LAMEA AI-Driven Traffic Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Technology, By Component (Software, Hardware, and Services), By Application, By End User, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 166 Pages
  • October 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6020373
Description Jump to:
The Latin America, Middle East and Africa AI-Driven Traffic Management Market is expected to witness market growth of 32.5% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA AI-Driven Traffic Management Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $2.99 billion by 2031. The Argentina market is showcasing a CAGR of 33.5% during 2024-2031. Additionally, the UAE market would register a CAGR of 31.3% during 2024-2031.



The ability of AI systems to predict and prevent accidents fosters public support for their adoption. Communities are more likely to embrace these technologies when they are seen as contributing to enhanced safety. Engaging the community in discussions about traffic management needs and solutions fosters trust and encourages the adoption of AI-driven systems. Public forums and feedback mechanisms allow citizens to voice their concerns and suggestions.

Cities are increasingly looking to examples of successful AI traffic management implementations, learning from best practices and adapting them to local contexts. This cross-pollination of ideas accelerates adoption. Collaborations and networks among cities facilitate knowledge sharing, allowing municipalities to understand the benefits and challenges of implementing AI-driven traffic systems.

The rising development of smart cities in the United Arab Emirates (UAE) and the expansion of the National Smart Mobility Strategy significantly contribute to the growth of this market. The UAE’s Ministry of Economy has launched the Smart Cities & Artificial Intelligence Plan (2018-2022) to leverage information and Internet of Things (IoT) technologies to manage infrastructure effectively. This initiative sets the stage for innovative solutions that enhance urban living and streamline transportation systems, directly impacting the demand for AI-driven traffic management solutions. In conclusion, the rise of smart cities and the rising IoT industry in the region drive the market's growth.

List of Key Companies Profiled

  • Siemens AG (Siemens Mobility)
  • Iteris, Inc.
  • Econolite Group, Inc.
  • Thales Group S.A.
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Ericsson AB
  • SWARCO AG
  • IBM Corporation
  • Indra Sistemas, S.A.
  • ST Engineering Limited (Temasek Holdings Limited)

Market Report Segmentation

By Deployment Mode
  • Cloud
  • On-Premises
By Technology
  • Machine Learning (ML)
  • Computer Vision
  • Internet of Things (IoT)
  • Natural Language Processing (NLP)
  • Other Technology
By Component
  • Software
  • Hardware
  • Services
By Application
  • Traffic Signal Control Systems
  • Incident Detection & Management
  • Route Optimization
  • Public Transport Management
  • Predictive Analytics
By End User
  • Government Authorities
  • Highway Operators
  • Logistics & Transportation Providers
By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA AI-Driven Traffic Management Market, by Deployment Mode
1.4.2 LAMEA AI-Driven Traffic Management Market, by Technology
1.4.3 LAMEA AI-Driven Traffic Management Market, by Component
1.4.4 LAMEA AI-Driven Traffic Management Market, by Application
1.4.5 LAMEA AI-Driven Traffic Management Market, by End User
1.4.6 LAMEA AI-Driven Traffic Management Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2021, Dec - 2024, Aug) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. LAMEA AI-Driven Traffic Management Market by Deployment Mode
5.1 LAMEA Cloud Market by Country
5.2 LAMEA On-Premises Market by Country
Chapter 6. LAMEA AI-Driven Traffic Management Market by Technology
6.1 LAMEA Machine Learning (ML) Market by Country
6.2 LAMEA Computer Vision Market by Country
6.3 LAMEA Internet of Things (IoT) Market by Country
6.4 LAMEA Natural Language Processing (NLP) Market by Country
6.5 LAMEA Other Technology Market by Country
Chapter 7. LAMEA AI-Driven Traffic Management Market by Component
7.1 LAMEA Software Market by Country
7.2 LAMEA Hardware Market by Country
7.3 LAMEA Services Market by Country
Chapter 8. LAMEA AI-Driven Traffic Management Market by Application
8.1 LAMEA Traffic Signal Control Systems Market by Country
8.2 LAMEA Incident Detection & Management Market by Country
8.3 LAMEA Route Optimization Market by Country
8.4 LAMEA Public Transport Management Market by Country
8.5 LAMEA Predictive Analytics Market by Country
Chapter 9. LAMEA AI-Driven Traffic Management Market by End User
9.1 LAMEA Government Authorities Market by Country
9.2 LAMEA Highway Operators Market by Country
9.3 LAMEA Logistics & Transportation Providers Market by Country
Chapter 10. LAMEA AI-Driven Traffic Management Market by Country
10.1 Brazil AI-Driven Traffic Management Market
10.1.1 Brazil AI-Driven Traffic Management Market by Deployment Mode
10.1.2 Brazil AI-Driven Traffic Management Market by Technology
10.1.3 Brazil AI-Driven Traffic Management Market by Component
10.1.4 Brazil AI-Driven Traffic Management Market by Application
10.1.5 Brazil AI-Driven Traffic Management Market by End User
10.2 Argentina AI-Driven Traffic Management Market
10.2.1 Argentina AI-Driven Traffic Management Market by Deployment Mode
10.2.2 Argentina AI-Driven Traffic Management Market by Technology
10.2.3 Argentina AI-Driven Traffic Management Market by Component
10.2.4 Argentina AI-Driven Traffic Management Market by Application
10.2.5 Argentina AI-Driven Traffic Management Market by End User
10.3 UAE AI-Driven Traffic Management Market
10.3.1 UAE AI-Driven Traffic Management Market by Deployment Mode
10.3.2 UAE AI-Driven Traffic Management Market by Technology
10.3.3 UAE AI-Driven Traffic Management Market by Component
10.3.4 UAE AI-Driven Traffic Management Market by Application
10.3.5 UAE AI-Driven Traffic Management Market by End User
10.4 Saudi Arabia AI-Driven Traffic Management Market
10.4.1 Saudi Arabia AI-Driven Traffic Management Market by Deployment Mode
10.4.2 Saudi Arabia AI-Driven Traffic Management Market by Technology
10.4.3 Saudi Arabia AI-Driven Traffic Management Market by Component
10.4.4 Saudi Arabia AI-Driven Traffic Management Market by Application
10.4.5 Saudi Arabia AI-Driven Traffic Management Market by End User
10.5 South Africa AI-Driven Traffic Management Market
10.5.1 South Africa AI-Driven Traffic Management Market by Deployment Mode
10.5.2 South Africa AI-Driven Traffic Management Market by Technology
10.5.3 South Africa AI-Driven Traffic Management Market by Component
10.5.4 South Africa AI-Driven Traffic Management Market by Application
10.5.5 South Africa AI-Driven Traffic Management Market by End User
10.6 Nigeria AI-Driven Traffic Management Market
10.6.1 Nigeria AI-Driven Traffic Management Market by Deployment Mode
10.6.2 Nigeria AI-Driven Traffic Management Market by Technology
10.6.3 Nigeria AI-Driven Traffic Management Market by Component
10.6.4 Nigeria AI-Driven Traffic Management Market by Application
10.6.5 Nigeria AI-Driven Traffic Management Market by End User
10.7 Rest of LAMEA AI-Driven Traffic Management Market
10.7.1 Rest of LAMEA AI-Driven Traffic Management Market by Deployment Mode
10.7.2 Rest of LAMEA AI-Driven Traffic Management Market by Technology
10.7.3 Rest of LAMEA AI-Driven Traffic Management Market by Component
10.7.4 Rest of LAMEA AI-Driven Traffic Management Market by Application
10.7.5 Rest of LAMEA AI-Driven Traffic Management Market by End User
Chapter 11. Company Profiles
11.1 Siemens AG (Siemens Mobility)
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent strategies and developments:
11.1.5.1 Partnerships, Collaborations, and Agreements:
11.1.5.2 Product Launches and Product Expansions:
11.1.5.3 Acquisition and Mergers:
11.1.6 SWOT Analysis
11.2 Iteris, Inc.
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Research & Development Expenses
11.2.4 Recent strategies and developments:
11.2.4.1 Partnerships, Collaborations, and Agreements:
11.2.4.2 Product Launches and Product Expansions:
11.3 Econolite Group, Inc.
11.3.1 Company Overview
11.3.2 Recent strategies and developments:
11.3.2.1 Partnerships, Collaborations, and Agreements:
11.3.2.2 Acquisition and Mergers:
11.4 Thales Group S.A.
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental and Regional Analysis
11.4.4 Research & Development Expenses
11.4.5 Recent strategies and developments:
11.4.5.1 Partnerships, Collaborations, and Agreements:
11.4.6 SWOT Analysis
11.5 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental and Regional Analysis
11.5.4 Research & Development Expenses
11.5.5 Recent strategies and developments:
11.5.5.1 Partnerships, Collaborations, and Agreements:
11.5.5.2 Product Launches and Product Expansions:
11.5.6 SWOT Analysis
11.6 SWARCO AG
11.6.1 Company Overview
11.6.2 Recent strategies and developments:
11.6.2.1 Partnerships, Collaborations, and Agreements:
11.6.2.2 Product Launches and Product Expansions:
11.6.3 SWOT Analysis
11.7 Ericsson AB
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 Recent strategies and developments:
11.7.5.1 Product Launches and Product Expansions:
11.7.6 SWOT Analysis
11.8 IBM Corporation
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional & Segmental Analysis
11.8.4 Research & Development Expenses
11.8.5 Recent strategies and developments:
11.8.5.1 Acquisition and Mergers:
11.8.6 SWOT Analysis
11.9 Indra Sistemas, S.A.
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Segmental and Regional Analysis
11.9.4 Research & Development Expenses
11.9.5 Recent strategies and developments:
11.9.5.1 Product Launches and Product Expansions:
11.10. ST Engineering Limited
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis

Companies Mentioned

Some of the key companies profiled in this LAMEA AI-Driven Traffic Management Market include:
  • Siemens AG (Siemens Mobility)
  • Iteris, Inc.
  • Econolite Group, Inc.
  • Thales Group S.A.
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Ericsson AB
  • SWARCO AG
  • IBM Corporation
  • Indra Sistemas, S.A.
  • ST Engineering Limited (Temasek Holdings Limited )

Methodology

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