Automated Fare Collection System Market Analysis and Global Forecast 2023-2033

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Automated Fare Collection System Market Research Report: By Technology Platform (Smart Card, Optical Character Recognition (OCR), Near Field Communications, Others), By Component (Hardware, Software), By Application (Bus, Toll, Train, Car Rental), and by Region — Forecast till 2033.

Page: 108

Report Published on: October 24, 2024
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Report Code: EBI96693 Categories: ,
Description

Automated Fare Collection System Market Overview

The Automated Fare Collection System Market Size is expected to reach USD 28.36 Billion by 2033. The Automated Fare Collection System industry size accounted for USD 8.74 Billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 11.65% from 2023 to 2033. The Automated Fare Collection (AFC) System market encompasses the technology and solutions used for automating ticketing and fare management in public transportation. This includes hardware such as ticket vending machines, turnstiles, and card readers, as well as software for processing payments and managing fare policies. AFC systems aim to improve efficiency, reduce operational costs, and enhance the passenger experience by providing seamless, cashless transactions. The market is driven by increasing urbanization, advancements in transportation infrastructure, and the growing adoption of smart city initiatives. Key sectors include metro systems, buses, and railways.

Global Automated Fare Collection System Market Synopsis

Automated Fare Collection System MarketCOVID-19 Impact Analysis

The COVID-19 pandemic has led to supply chain disruptions leading to supply shortages or lower demand in the Automated Fare Collection System market. The travel restrictions and social-distancing measures have resulted in a sharp drop in consumer and business spending and this pattern is to continue for some time. The end-user trend and preferences have changed due to the pandemic and have resulted in manufacturers, developers, and service providers adopting various strategies to stabilize the company.

Global Automated Fare Collection System Market Dynamics

The major factors that have impacted the growth of Automated Fare Collection System are as follows:

Drivers:

⮚      Technological Advancements

Innovations in technology, such as contactless payments, mobile ticketing, and near-field communication (NFC), have revolutionized fare collection. These advancements provide passengers with convenient and fast payment options, enhancing their overall travel experience and encouraging the adoption of AFC systems.

Restraint:

  • Cybersecurity and Privacy Concerns

AFC systems handle a significant amount of sensitive data, including personal information and financial transactions. The risk of cyberattacks, data breaches, and identity theft poses a serious threat. Ensuring robust cybersecurity measures and compliance with data protection regulations is essential but can be complex and costly.

Opportunity:

⮚      Advancements in Payment Technologies

The adoption of new payment technologies such as mobile wallets, contactless cards, and biometric payments opens up opportunities for AFC systems to offer more convenient and secure payment options. Integrating these technologies can attract more users by providing a frictionless payment experience.

Automated Fare Collection System Market Segment Overview

By Technology Platform

Based on the Technology Platform, the market is segmented based on Smart Card, Optical Character Recognition (OCR), Near Field Communications, Others. The Smart Card segment dominates due to its widespread adoption for secure, efficient, and contactless fare transactions in public transportation systems.

By Component

Automated Fare Collection System Market Technology Platform AnalysisBased on the Component, the market has been divided into Hardware, Software. The hardware segment dominates due to the extensive need for physical infrastructure like ticket vending machines, turnstiles, and card readers essential for fare collection operations.

By Application

Based on Application, the market has been divided into Bus, Toll, Train, Car Rental. The bus and train segments dominate due to the high volume of daily commuters and the need for efficient fare management in these public transportation modes.

Global Automated Fare Collection System Market Regional Analysis

Based on region, the market has been divided into North America, Europe, Asia-Pacific, the Middle East & Africa, and Latin America. The area of North America is anticipated to dominate the market for the usage of Automated Fare Collection System, followed by those in Asia-Pacific and Europe.

Global Automated Fare Collection System Market Regional AnalysisAutomated Fare Collection System North America Market

North America dominates the Automated Fare Collection System market due to several factors. In North America, the Automated Fare Collection (AFC) System market is driven by the region’s advanced transportation infrastructure and high adoption rate of new technologies. Major cities in the United States and Canada have increasingly implemented AFC systems to enhance the efficiency of their public transit networks. Government initiatives promoting smart city projects and investments in modernizing public transportation contribute significantly to market growth. Additionally, the presence of key market players and ongoing technological advancements in payment solutions and data analytics further bolster the market in this region. The focus on improving commuter experience and operational efficiency continues to drive the expansion of AFC systems across North America.

Automated Fare Collection System Asia Pacific Market

The Asia-Pacific region has been witnessing remarkable growth in recent years. In the Asia Pacific region, the Automated Fare Collection (AFC) System market is experiencing rapid growth due to significant urbanization and the expansion of public transportation networks in countries like China, India, and Japan. Governments are heavily investing in smart city initiatives and infrastructure development, driving the adoption of advanced AFC systems. The region’s high population density and increasing demand for efficient, cashless fare collection methods contribute to market expansion. Technological advancements and collaborations between local and international firms are enhancing system capabilities.

Competitive Landscape

The competitive landscape includes key players (tier 1, tier 2, and local) having a presence across the globe. Companies such as Atos SE, Cubic Transportation Systems, Inc., DORMAKABA HOLDING, LECIP Group, and LG CNS are some of the leading players in the global Automated Fare Collection System Industry. These players have adopted partnership, acquisition, expansion, and new product development, among others as their key strategies.

Key Market Players:

  • Atos SE
  • Cubic Transportation Systems, Inc.
  • DORMAKABA HOLDING
  • LECIP Group
  • LG CNS
  • NXP Semiconductors
  • Scheidt&Bacchhan Gmbh
  • IBM Corporation
  • Samsung SDS
  • Thales Group

Key development:

In September 2022, IBM Corporation made a key development in the Automated Fare Collection System market by launching an advanced AI-powered payment platform, enhancing the efficiency and security of fare transactions for public transportation systems.

Scope of the Report

Global Automated Fare Collection System Market, by Technology Platform
  • Smart Card
  • Optical Character Recognition (OCR)
  • Near Field Communications
  • Others
 Global Automated Fare Collection System Market, by Component
  • Hardware
  • Software
 Global Automated Fare Collection System Market, by Application
  • Bus
  • Toll
  • Train
  • Car Rental
 Global Automated Fare Collection System Market, by Region
  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Benelux
    • Nordic
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • Indonesia
    • Austalia
    • Malaysia
    • India
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Egypt
    • South Africa
    • Rest of Middle East & Africa

 

Parameters Indicators
Market Size 2033: $28.36 Billion/strong>
CAGR 11.65% CAGR (2023-2033)
Base year 2022
Forecast Period 2023-2033
Historical Data 2021
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Key Segmentations Technology Platform, Component, Application
Geographies Covered North America, Europe, Asia-Pacific, Latin America, Middle East, Africa
Key Vendors Atos SE, Cubic Transportation Systems, Inc., DORMAKABA HOLDING, LECIP Group, LG CNS, NXP Semiconductors, Scheidt&Bacchhan Gmbh, IBM Corporation, Samsung SDS, Thales Group
Key Market Opportunities • Creative Content Generation and Personalization
Key Market Drivers • Advancements in AI research and technology
• Growing demand for personalized and creative content

 

REPORT CONTENT BRIEF:

  • High-level analysis of the current and future Automated Fare Collection System Industry trends and opportunities
  • Detailed analysis of current market drivers, restraining factors, and opportunities analysis in the future
  • Historical market size for the year 2021, and forecast from 2023 to 2033
  • Automated Fare Collection System market share analysis for each segment
  • Competitor analysis with a comprehensive insight into its product segment, financial strength, and strategies adopted.
  • Identifies key strategies adopted by the key players including new product development, mergers and acquisitions, joint ventures, collaborations, and partnerships.
  • To identify and understand the various factors involved in the global Automated Fare Collection System market affected by the pandemic
  • To provide year-on-year growth from 2022 to 2033
  • To provide short-term, long-term, and overall CAGR comparison from 2022 to 2033.
  • Provide Total Addressable Market (TAM) for the Global Automated Fare Collection System Market.

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Frequently Asked Questions (FAQ)

  • The global Automated Fare Collection System market is growing at a CAGR of ~65% over the next 10 years

  • Asia Pacific is expected to register the highest CAGR during 2023-2033

  • Atos SE, Cubic Transportation Systems, Inc., DORMAKABA HOLDING, LECIP Group, LG CNS, NXP Semiconductors, Scheidt&Bacchhan Gmbh, IBM Corporation, Samsung SDS, Thales Group.

  • Yes, we offer 16 hours of analyst support to solve the queries

Yes, we do provide regional as well as country-level reports. Other than this we also provide a sectional report. Please get in contact with our sales representatives

Table of Content

Table of Content

CHAPTER 1.                 Executive Summary

CHAPTER 2.                 Scope of the Study

2.1.        Market Definition

2.2.        Market Scope & Segmentation

2.2.1.         Objective of Report

CHAPTER 3.                 Evolve BI Methodology

3.1.        Data Collection & Validation Approach

3.2.        Market Size Estimation and Forecast

CHAPTER 4.                 Exclusive Analysis

4.1.        Market Opportunity Score

4.1.1.         Technology Platform Segement – Market Opportunity Score

4.1.2.         Component Segment – Market Opportunity Score

4.1.3.         Application Segment – Market Opportunity Score

4.2.        Key Market Influencing Indicators

CHAPTER 5.                 Market Insights and Trends

5.1.        Value Chain Analysis

5.1.1.         Raw Material

5.1.2.         Manufacturing Process

5.1.3.         Distribution Channel

5.1.4.         End User

5.2.        Porter’s Five Forces Analysis

5.2.1.         Bargaining Power of Buyers

5.2.2.         Bargaining Power of Suppliers

5.2.3.         Threat of New Entrant

5.2.4.         Threat of Substitute

5.2.5.         Industry Rivalry

5.3.        COVID-19 Impact and Post COVID Scenario on Automated Fare Collection System Market

5.3.1.         Impact of COVID-19

5.3.2.         Government Support and Industry Revival Policies

5.3.3.         Measures Taken by Companies to Mitigate Negative Impact

5.3.4.         Post COVID Trend

CHAPTER 6.                 MArket Dynamics

6.1.        Introduction

6.2.        Drivers

6.2.1.         Driver 1

6.2.2.         Driver 2

6.2.3.         Driver 3

6.3.        Restraints

6.3.1.         Restraint 1

6.3.2.         Restraint 2

6.4.        Opportunity

6.4.1.         Opportunity 1

CHAPTER 7.                 Global Automated Fare Collection System Market, By Technology Platform

7.1.        Introduction

7.1.1. Smart Card

7.1.2. Optical Character Recognition (OCR)

7.1.3. Near Field Communications

7.1.4. Others

CHAPTER 8.                 Global Automated Fare Collection System Market, By Component

8.1.        Introduction

8.1.1. Hardware

8.1.2. Software

CHAPTER 9.                 Global Automated Fare Collection System Market, By Application

9.1.        Introduction

9.1.1. Bus

9.1.2. Toll

9.1.3. Train

9.1.4. Car Rental

9.1.6.         Others

CHAPTER 10.               Global Automated Fare Collection System Market, By Region

10.1.     Introduction

10.2.     NORTH AMERICA

10.2.1.      North America: Market Size and Forecast, By Country, 2023 – 2033 ($ Million)

10.2.2.      North America: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.2.3.      North America: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.2.4.      North America: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.2.5.      US

10.2.5.1.       US: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.2.5.2.       US: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.2.5.3.       US: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.2.6.      CANADA

10.2.6.1.       Canada: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.2.6.2.       Canada: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.2.6.3.       Canada: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.2.7.      MEXICO

10.2.7.1.       Mexico: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.2.7.2.       Mexico: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.2.7.3.       Mexico: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.     Europe

10.3.1.      Europe: Market Size and Forecast, By Country, 2023 – 2033 ($ Million)

10.3.2.      Europe: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.3.      Europe: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.4.      Europe: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.5.      U.K.

10.3.5.1.       U.K.: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.5.2.       U.K.: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.5.3.       U.K.: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.6.      GERMANY

10.3.6.1.       Germany: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.6.2.       Germany: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.6.3.       Germany: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.7.      FRANCE

10.3.7.1.       France: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.7.2.       France: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.7.3.       France: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.8.      ITALY

10.3.8.1.       Italy: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.8.2.       Italy: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.8.3.       Italy: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.9.           SPAIN

10.3.9.1.        Spain: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.9.2.        Spain: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.9.3.        Spain: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.10.         BENELUX

10.3.10.1.     BeNeLux: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.10.2.     BeNeLux: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.10.3.     BeNeLux: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.11.         RUSSIA

10.3.11.1.     Russia: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.11.2.     Russia: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.11.3.     Russia: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.3.12.         REST OF EUROPE

10.3.12.1.     Rest of Europe: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.3.12.2.     Rest of Europe: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.3.12.3.     Rest of Europe: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.     Asia Pacific

10.4.1.      Asia Pacific: Market Size and Forecast, By Country, 2023 – 2033 ($ Million)

10.4.2.      Asia Pacific: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.3.      Asia Pacific: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.4.      Asia Pacific: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.5.      CHINA

10.4.5.1.       China: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.5.2.       China: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.5.3.       China: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.6.      JAPAN

10.4.6.1.       Japan: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.6.2.       Japan: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.6.3.       Japan: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.7.      INDIA

10.4.7.1.       India: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.7.2.       India: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.7.3.       India: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.8.      SOUTH KOREA

10.4.8.1.       South Korea: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.8.2.       South Korea: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.8.3.       South Korea: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.9.           THAILAND

10.4.9.1.        Thailand: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.9.2.        Thailand: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.9.3.        Thailand: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.10.         INDONESIA

10.4.10.1.     Indonesia: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.10.2.     Indonesia: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.10.3.     Indonesia: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.11.         MALAYSIA

10.4.11.1.     Malaysia: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.11.2.     Malaysia: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.11.3.     Malaysia: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.12.         AUSTRALIA

10.4.12.1.     Australia: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.12.2.     Australia: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.12.3.     Australia: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.4.13.         REST FO ASIA PACIFIC

10.4.13.1.     Rest fo Asia Pacific: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.4.13.2.     Rest fo Asia Pacific: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.4.13.3.     Rest fo Asia Pacific: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.5.     South America

10.5.1.      South America: Market Size and Forecast, By Country, 2023 – 2033 ($ Million)

10.5.2.      South America: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.5.3.      South America: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.5.4.      South America: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.5.5.      BRAZIL

10.5.5.1.       Brazil: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.5.5.2.       Brazil: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.5.5.3.       Brazil: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.5.6.      ARGENTINA

10.5.6.1.       Argentina: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.5.6.2.       Argentina: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.5.6.3.       Argentina: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.5.7.      REST OF SOUTH AMERICA

10.5.7.1.       Rest of South America: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.5.7.2.       Rest of South America: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.5.7.3.       Rest of South America: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.     Middle East & Africa

10.6.1.      Middle East & Africa: Market Size and Forecast, By Country, 2023 – 2033 ($ Million)

10.6.2.      Middle East & Africa: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.3.      Middle East & Africa: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.4.      Middle East & Africa: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.5.      SAUDI ARABIA

10.6.5.1.       Saudi Arabia: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.5.2.       Saudi Arabia: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.5.3.       Saudi Arabia: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.6.      UAE

10.6.6.1.       UAE: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.6.2.       UAE: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.6.3.       UAE: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.7.      EGYPT

10.6.7.1.       Egypt: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.7.2.       Egypt: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.7.3.       Egypt: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.8.      SOUTH AFRICA

10.6.8.1.       South Africa: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.8.2.       South Africa: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.8.3.       South Africa: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

10.6.9.           REST OF MIDDLE EAST & AFRICA

10.6.9.1.        Rest of Middle East & Africa: Market Size and Forecast, By Technology Platform, 2023 – 2033 ($ Million)

10.6.9.2.        Rest of Middle East & Africa: Market Size and Forecast, By Component, 2023 – 2033 ($ Million)

10.6.9.3.        Rest of Middle East & Africa: Market Size and Forecast, By Application, 2023 – 2033 ($ Million)

CHAPTER 12.               Competitive Landscape

12.1.     Competitior Benchmarking 2023

12.2.     Market Share Analysis

12.3.     Key Developments Analysis By Top 5 Companies

12.4.     Market Share Acquisition Strategies: Analysis of Key Approaches Employed by Top Players

CHAPTER 13.               Company Profiles

13.1.     Atos SE

13.1.1.      Business Overview

13.1.2.      Financial Analysis

13.1.2.1.       Business Segment Revenue, 2020, 2021, 2022, $ Million

13.1.2.2.       Geographic Revenue Mix, 2022 (% Share)

13.1.3.      Product Portfolio

13.1.4.      Recent Development and Strategies Adopted

13.1.5.      SWOT Analysis

13.2.     Cubic Transportation Systems, Inc.

13.3.     DORMAKABA HOLDING

13.4.     LECIP Group

13.5.     LG CNS

13.6.     NXP Semiconductors

13.7.     Scheidt&Bacchhan Gmbh

13.8.     IBM Corporation

13.9.     Samsung SDS

13.10.   Thales Group

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