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The Worldwide Autonomous Train Technology Industry is Projected to Reach $10 Billion in 2026

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Dublin, June 22, 2022 (GLOBE NEWSWIRE) — The “Global Autonomous Train Technology Market: Analysis By Train Type (Metro/Monorail, High Speed Rail, Light Rail), By Region (North America, Asia Pacific, Europe, Latin America, Middle East & Africa) Size and Trends with Impact of COVID-19 and Forecast up to 2026” report has been added to ResearchAndMarkets.com’s offering.

The global autonomous train technology market was valued at US$7.41 billion in 2021, and is projected to be worth US$10.11 billion in 2026.

In comparison to road transportation, railways are considered to be an efficient and reliable means of transportation for passenger and freight over greater distances, with fewer delays and breakdowns, resulting in shorter travel times. As a result, governments across the world have boosted financial allocations for modernizing and upgrading the railway ecosystem in order to enhance the railway network and minimize reliance on other modes of transportation.

Autonomous trains are a type of automated train that includes an automated train driving system that controls train arrival, departure, movement between stations, accurate and automatic train halting, and on-time door opening and closing. The autonomous train technology market is determined to grow at a CAGR of 6.43% over the analyzed period of 2022-2026.

Market Dynamics:

  • Growth Drivers: The market has been growing over the past few years, due to factors such as rising investments in smart cities, increasing adoption of metros and high speed trains, increased budget allocation for railway development, decarbonized and sustainable form of transportation, rising demand for secure and safer railway system and increasing demand for electric trains. Due to the introduction of improved technology such as communication based train control (CBTC), European railway traffic management system (ETRMS), and others, autonomous trains have a lower risk of rail fatalities. On-board cameras, sensors, communication devices, and other technology can help to prevent train fatalities, boosting the demand for autonomous train technologies. Moreover, growing electrification of metro/monorail as a result of stricter pollution standards being enacted around the world has also supported market growth.
  • Challenges: However, some challenges are impeding the growth of the market such as high implementation costs and constraints in processing. Autonomous trains are built around integrated digital signal processing (DSP) modules. The programmed algorithm directs the operation of this architecture in a specific order. When the train is moving, one of the key challenges is the complicated interplay of the many subsystems. Railway signaling is complicated, with many different types of signals and state combinations. There are a variety of train types available, each with its own infrastructure. As a result, an autonomous system that works with one type of train may not necessarily work with another.
  • Trends: The market is projected to grow at a fast pace during the forecast period, due to various latest trends such as adoption of IoT devices, integration of artificial intelligence and virtual reality, and technological advancements in automotive sensors. The internet of things have a significant impact on railway infrastructure dependability and safety. Condition-based monitoring eliminates delays caused by track and train component failures, improving maintenance efficiency and costs while also increasing passenger satisfaction. Railway operators can also use IoT-enabled advanced analytics to develop data-driven solutions to improve fleet control and rail operations efficiency.

Impact Analysis of COVID-19 and Way Forward:

The COVID-19 pandemic has wreaked havoc on global autonomous train technology market. Because of the pandemic, major railway projects were halted, and posed a challenge to the autonomous train technology market. People were seeking more personal vehicles as a result of their fear of shared spaces, decreasing the demand of train, thus hampering the market.

However, the post-COVID environment appears to be fortunate for the autonomous train technology market, as people are now more transilient for electric and safe vehicles. Moreover, increased safety norms are also expected to support the market growth. Connectivity is going beyond 5G and vehicle data access. More connected experiences would open up more possibilities for displaying information across dashboards and interfaces.

Competitive Landscape:

The global autonomous train technology market is highly concentrated. Market players have implemented sustainable growth techniques in the market. To strengthen their position in the market, some of the leading competitors are pursuing various growth methods such as mergers, acquisitions, collaborations, and agreements. For example, Alstom completed the acquisition of Bombardier Transportation in January 2021, resulting in a globally competitive producer in mobility and rail transport.

The key players of the global autonomous train technology market are:

  • Alstom SA
  • Belden Inc.
  • CAF SA
  • CRRC Corporation Ltd.
  • Hitachi Ltd (Hitachi Rail Ltd.)
  • Thales Group
  • CalAmp Corp.
  • Siemens AG (Siemens Mobility)
  • Warehouse Airbrake Technologies Corporation (GE Transportation)
  • ABB Group
  • Kawasaki Heavy Industries
  • Mitsubishi Heavy Industries Ltd
  • Deutsche Bahn AG

Major players are investing in R&D of the equipment to meet international standards. New product launches, collaborations with governments and expansion in the emerging countries are among the strategic activities that the corporations are pursuing in order to increase their market positions. For example, in September 2021, Mitsubishi Heavy Industries Engineering formed a joint partnership with Keolis to build the Dubai Metro and Dubai tram. The Dubai metro, a fully automated driverless rail system, has successfully begun operations. Kawasaki Heavy Industries offered new remote track monitoring services with information and communications technology in North America in May 2021.

Key Topics Covered:

1. Executive Summary

2. Introduction
2.1 Autonomous Train Technology: An Overview
2.1.1 Grades of Automation
2.1.2 Benefits of Autonomous Trains
2.2 Autonomous Train Technology Segmentation: An Overview
2.2.1 Autonomous Train Technology Segmentation By Train Type

3. Global Market Analysis
3.1 Global Autonomous Train Technology Market: An Analysis
3.1.1 Global Autonomous Train Technology Market by Value
3.1.2 Global Autonomous Train Technology Market by Train Type (Metro/Monorail, High Speed Rail, and Light Rail)
3.1.3 Global Autonomous Train Technology Market by Region (North America, Asia Pacific, Europe, Latin America and Middle East and Africa)
3.2 Global Autonomous Train Technology Market: Train Type Analysis
3.2.1 Global Metro/Monorail Autonomous Train Technology Market by Value
3.2.2 Global High Speed Rail Autonomous Train Technology Market by Value
3.2.3 Global Light Rail Autonomous Train Technology Market by Value

4. Regional Market Analysis

5. Impact of COVID-19
5.2 Impact of COVID-19
5.1.1 Impact of COVID-19 on Global Autonomous Train Technology Market
5.1.2 Post-COVID Scenario

6. Market Dynamics
6.1 Growth Drivers
6.1.1 Rising Investments in Smart Cities
6.1.2 Increasing Adoption of Metros and High Speed Trains
6.1.3 Increased Budget Allocation For Railway Development
6.1.4 Decarbonized and Sustainable Form Of Transportation
6.1.5 Rising Demand For Secure and Safer Railway System
6.1.6 Increasing Demand for Electric Trains
6.2 Challenges
6.2.1 High Cost of Implementation
6.2.2 Constraints in Processing
6.3 Market Trends
6.3.1 Adoption of Internet of Things (IoT) Devices
6.3.2 Integration of Artificial Intelligence (AI)
6.3.3 Integration of Augmented Reality & Virtual Reality
6.3.4 Technological Advancements in Automotive Sensors

7. Competitive Landscape

8. Company Profiles
8.1 Alstom SA
8.1.1 Business Overview
8.1.2 Operating Products
8.1.3 Business Strategy
8.2 Belden Inc.
8.2.1 Business Overview
8.2.2 Operating Segments
8.2.3 Business Strategy
8.3 CAF SA
8.3.1 Business Overview
8.3.2 Operating Business Units
8.3.3 Business Strategy
8.4 CRRC Corporation Ltd.
8.4.1 Business Overview
8.4.2 Operating Region
8.4.3 Business Strategy
8.5 Hitachi Ltd. (Hitachi Rail Ltd.)
8.5.1 Business Overview
8.5.2 Operating Segments
8.5.3 Business Strategy
8.6 Thales Group
8.6.1 Business Overview
8.6.2 Operating Segments
8.6.3 Business Strategy
8.7 CalAmp Corp.
8.7.1 Business Overview
8.7.2 Operating Segments
8.7.3 Business Strategy
8.8 Siemens AG (Siemens Mobility)
8.8.1 Business Overview
8.8.2 Operating Segments
8.8.3 Business Strategy
8.9 Warehouse Airbrake Technologies Corporation (GE Transportation)
8.9.1 Business Overview
8.9.2 Operating Segments
8.9.3 Business Strategy
8.10 ABB Group
8.10.1 Business Overview
8.10.2 Operating Businesses
8.10.3 Business Strategy
8.11 Kawasaki Heavy Industries
8.11.1 Business Overview
8.11.2 Operating Segments
8.11.3 Business Strategy
8.12 Mitsubishi Heavy Industries Ltd
8.12.1 Business Overview
8.12.2 Operating Segments
8.12.3 Business Strategy
8.13 Deutsche Bahn AG
8.13.1 Business Overview
8.13.2 Operating Segments
8.13.3 Business Strategy

For more information about this report visit https://www.researchandmarkets.com/r/h6rhaf


GlobeNewswire is one of the world's largest newswire distribution networks, specializing in the delivery of corporate press releases financial disclosures and multimedia content to the media, investment community, individual investors and the general public.

Artificial Intelligence

US Air Force Awards ThroughPut.ai Direct-to-Phase-II Contract for Boeing, Lockheed Martin, and Sikorsky Mission Design Series to Accelerate Aircraft Readiness

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Leveraging Data to Drive Maintenance-first actions that improve overall supply chain throughput across the DAF.
NEW YORK, May 28, 2024 /PRNewswire/ — ThroughPut.ai, the Supply Chain Decision Intelligence Pioneer, announces it has been selected by AFWERX for a (SBIR Direct-to-Phase II contract) in the amount of $1,248,627.00 focused on “AI-Powered Proactive Supply Chain Capabilities” to address the most pressing challenges in the Department of the Air Force (DAF). The Air Force Research Laboratory and AFWERX have partnered to streamline the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) process by accelerating the small business experience through faster proposal to award timelines, changing the pool of potential applicants by expanding opportunities to small business and eliminating bureaucratic overhead by continually implementing process improvement changes in contract execution. The DAF began offering the Open Topic SBIR/STTR program in 2018 which expanded the range of innovations the DAF funded and now on April 17th, 2024, ThroughPut.ai will start its journey to create and provide innovative capabilities that will strengthen the national defense of the United States of America.

“ThroughPut.ai looks forward to supporting efforts to accelerate inventory flow across the United States Air Force,” said Ali Raza, CEO & Founder of ThroughPut.ai. “By driving inventory/materiel management changes at the maintenance endpoint first, supply chain improvements can then be amplified across the greater industrial base to create aircraft capacity.”
“The views expressed are those of the author and do not necessarily reflect the official policy or position of the Department of the Air Force, the Department of Defense, or the U.S. government.”
About (ThroughPut.ai)
ThroughPut.ai is a Silicon Valley-based supply chain optimization & predictive replenishment company. The company’s software AI platform has the ability to identify location-, product-, and customer-based demand changes sooner in order to adjust order frequencies, vendor sources, and parts buffer levels at a global and local scale. ThroughPut’s platform was designed by Fortune 500 & technology executives with real-world experience managing demand & supply chain disruptions and war-zone logistics across the Middle East.
About AFRLThe Air Force Research Laboratory is the primary scientific research and development center for the Department of the Air Force. AFRL plays an integral role in leading the discovery, development, and integration of affordable warfighting technologies for our air, space and cyberspace force. With a workforce of more than 12,500 across nine technology areas and 40 other operations across the globe, AFRL provides a diverse portfolio of science and technology ranging from fundamental to advanced research and technology development. For more information, visit afresearchlab.com.
About AFWERXAs the innovation arm of the DAF and a directorate within the Air Force Research Laboratory, AFWERX brings cutting-edge American ingenuity from small businesses and start-ups to address the most pressing challenges of the DAF. AFWERX employs approximately 370 military, civilian and contractor personnel at five hubs and sites executing an annual $1.4 billion budget. Since 2019, AFWERX has executed over 6,100 new contracts worth more than $4 billion to strengthen the U.S. defense industrial base and drive faster technology transition to operational capability. For more information, visit: www.afwerx.com. 
Company Press Contact:Ali RazaCEO/[email protected] 

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Data Center Investments Soar: 200% Rise Since 2016 and Projected 89% Increase by 2028

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USA News Group CommentaryIssued on behalf of Avant Technologies Inc.
VANCOUVER, BC, May 28, 2024 /PRNewswire/ — Since 2016, investment in data centre infrastructure has risen 200%, with a further 89% increase expected by 2028 as more opportunities emerge with the rise of artificial intelligence (AI). According to Jones Lang LaSalle Inc.’s CEO Christian Ulbrich, data centers are “the hottest asset class at the moment.” Analysts at Technavio are projecting the global data center market to record an additional US$329.82 billion in growth at a CAGR of 12.73% through 2027. Capitalizing on the opportunity are several players recently announcing developments regarding their involvement in the data centers sector, including

Avant Technologies Inc. (OTCQB: AVAI), Amazon.com, Inc. (NASDAQ: AMZN), Applied Digital Corporation (NASDAQ: APLD), Digital Realty Trust, Inc. (NYSE: DLR), and Equinix, Inc. (NASDAQ: EQIX).
As an early pioneer in generative AI, Avant Technologies Inc. (OTCQB: AVAI) continues to enhance its flagship asset, Avant AITM, a sophisticated machine and deep learning AI system designed for versatility and customization across various industries and applications. Recently, Avant announced plans to equip its AI-managed data center, currently in development, with High-Performance Computing (HPC) systems. According to IBM, HPC technology utilizes clusters of powerful processors working in parallel to process massive multi-dimensional data sets and solve complex problems at exceptionally high speeds.
“The rise of AI is revolutionizing industries, and Avant Technologies is committed to being at the forefront of this transformation,” said William Hisey, CEO of Avant. “By building an AI-managed data center with HPC systems, we will gain the computational power and infrastructure required to train and deploy sophisticated AI models, which will ultimately provide even greater value to our customers.”
The new data center will leverage AI-driven management technology to optimize resource allocation and enhance efficiency in all aspects of data center operations. Avant will meticulously design its HPC infrastructure to meet the demands of AI workloads, selecting high-performance CPUs and GPUs (or TPUs) specifically suited for deep learning tasks. This cutting-edge facility will enable Avant to accelerate AI advancements, delivering innovative solutions to clients by improving data center efficiency and empowering them with exceptional AI capabilities.
Additionally, Avant will implement a high-speed network to ensure efficient data transfer and select a scalable storage solution to manage the large datasets necessary for training and utilizing AI models. The HPC systems will prioritize security, incorporating robust measures to protect sensitive data and create a secure environment for AI deployment. Furthermore, the data center will integrate energy-efficient technologies and sustainable design practices, reflecting Avant’s commitment to environmental responsibility.
Avant Technologies also recently announced plans to implement AI-empowered Zero Trust Architecture (ZTA) across its data center operations. Additionally, the company has expanded its AvantAI™ platform to include intelligent, proactive monitoring and management for data centers.
Over the past few weeks Amazon.com, Inc. (NASDAQ: AMZN) has collectively committed to investing $20 billion into new data centers for its subsidiary Amazon Web Services (AWS). The first to be announced was an $11-billion data center to be built in Indiana, with another $9 billion set to accelerate cloud-infrastructure in Singapore. The moves fall in line with Amazon CEO Andy Jassy’s projection that 85% of IT spending will remain on premises, in the race for Gen AI supremacy.
Amazon also recently announced an extension on its partnership between AWS and CrowdStrike to unify cybersecurity protection on its CrowdStrike Falcon platform. As per the agreement, Amazon is replacing a variety of cloud point products with Falcon Cloud Security, is using Falcon Next-Gen SIEM to secure big data logging and is deploying Identity Threat Detection and Response to prevent identity-based attacks.
“CrowdStrike and AWS have a deep history of working together to secure the most innovative companies in the world,” said CJ Moses, Chief Information Security Officer and Vice President of Security Engineering at Amazon. “Amazon uses CrowdStrike to provide visibility, detection, and response across our businesses in order to protect the cloud, infrastructure, and services for our customers. This is part of our shared mission to help all organizations build, operate, and secure their business.”
In a move to shore-up its market position as a designer, builder, and operator of next-generation digital infrastructure designed for High-Performance Computing (“HPC”) applications, Applied Digital Corporation (NASDAQ: APLD) recently announced the appointment of industry veteran Todd Gale as its new Chief Development Officer. The announcement came just one month after the company announced it had issued a $50 million unsecured convertible debenture to advance its HPC Data Center Project in Ellendale, North Dakota.
“We intend to use the net proceeds from the private financing, supplemented by the proceeds from our announced sale of the Garden City facility, to finance substantial advancements in our construction phase of the HPC data center in Ellendale, North Dakota,” said David Rench, CFO of Applied Digital. “Concurrently, we continue negotiating our project-level financing to ensure timely project completion and fulfillment of our contractual obligations.”
Applied Digital intends to utilize chipmaking giant NVIDIA’s new Blackwell platform into its cloud offerings. The company’s next-generation data center campuses are specifically designed to host HPC/AI applications, offering more cost-effective and efficient alternatives to traditional data centers.
In Japan, Digital Realty Trust, Inc. (NYSE: DLR) recently announced the expansion of its NRT Campus, by commencing construction of its third data center to support AI. Upon completion of the site in late 2025, the campus’s capacity will rise to 104MW, with the intention of meeting rising demand for next-generation infrastructure, and seamless access to Japan’s connected data communities.
“Japan’s rapidly increasing demand for AI deployments creates the need for scalable, flexible, and highly connected AI-ready data centers in the Tokyo metropolitan area,” said Serene Nah, Managing Director and Head of Asia Pacific, Digital Realty. “We believe NRT14’s next-generation data center infrastructure and Digital Realty’s connected global open data center platform provide the foundational pillars our customers need to drive innovation in the coming years.”
Equinix, Inc. (NASDAQ: EQIX), another digital infrastructure company, has recently launched a $600 million joint venture with PGIM Real Estate to develop and operate the first xScale data center in the US, situated in California’s Silicon Valley. This follows their successful collaboration on the first xScale data center in Australia in 2022, which was part of a similar $575 million joint venture announced in 2021.
Under the terms of the new agreement, PGIM Real Estate will hold an 80% equity interest in the joint venture, while Equinix will retain a 20% equity stake. xScale data centers by Equinix enable hyperscale companies to expand their core deployments within Equinix’s IBX data centers, facilitating growth in over 70 global metros through a platform that supports direct interconnections with more than 10,000 customers.
This joint venture complements Equinix’s existing hyperscale collaborations in Europe, Asia-Pacific, and the Americas, significantly enhancing the global xScale data center portfolio. Once completed, this global expansion is set to exceed $8 billion, encompassing more than 35 facilities and providing over 725 megawatts of power capacity.
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/ 
CONTACT:USA NEWS [email protected](604) 265-2873
DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. USA News Group is a wholly-owned subsidiary of Market IQ Media Group, Inc. (“MIQ”). MIQ has been paid a fee for Avant Technologies Inc. advertising and digital media from the company directly. There may be 3rd parties who may have shares Avant Technologies Inc., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. The owner/operator of MIQ own shares of Avant Technologies Inc. which were purchased as a part of a private placement. MIQ reserves the right to buy and sell, and will buy and sell shares of Avant Technologies Inc. at any time thereafter without any further notice. We also expect further compensation as an ongoing digital media effort to increase visibility for the company, no further notice will be given, but let this disclaimer serve as notice that all material disseminated by MIQ has been approved by the above mentioned company; this is a paid advertisement, and we own shares of the mentioned company that we will sell, and we also reserve the right to buy shares of the company in the open market, or through further private placements and/or investment vehicles. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Also, because events and circumstances frequently do not occur as expected, there will likely be differences between any predictions and actual results. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.

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Lucinity Wins the Microsoft Partner Awards for 2024 for Partner of the Year – Iceland and Sustainability and Social Impact

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REYKJAVÍK, Iceland, May 28, 2024 /PRNewswire/ — Lucinity, a leading AI company for financial crime prevention, won two awards at the Microsoft Partner Awards for 2024, including Partner of the Year – Iceland and Sustainability and Social Impact, highlighting Lucinity’s innovations and contribution to positive societal change. 

“Congratulations to Lucinity for being recognized as the Partner of the Year – Iceland 2024! Lucinity is leading digital transformation and delivering innovative products in their domain,” says Microsoft’s leadership.
“For the past year, they have played a key role with their offerings, skilled resources, and their ability to drive change and innovative solutions both locally in Iceland and across the globe. Lucinity has had significant social impact and growth while supporting our joint customers in their AI-transformation journeys.”
In June 2023, Lucinity launched the world’s first copilot for FinCrime prevention powered by Microsoft Azure OpenAI called Luci. Luci stands out in the financial services industry with specialized skills for FinCrime prevention such as adverse media checks, case analysis, and SAR writing. 
Built on the robust and scalable Microsoft Azure platform, Lucinity offers customers a trusted SaaS product. Additionally, Lucinity’s presence on the Microsoft Azure Marketplace allows companies to leverage their Microsoft Azure credits to access the platform. 
The seamless integration with Microsoft’s Azure stack has enabled Lucinity to implement advanced AI capabilities, fostering rapid innovation and enabling banks and fintech companies to utilize AI securely and audibly. Furthermore, Luci significantly reduces investigation times from 2.5 hours to just 25 minutes, saving Tier 1 banks an estimated $25 million annually.
Guðmundur Kristjánsson (GK), Lucinity’s Founder and CEO comments, “These awards are a testament to the strength and reliability of our solutions, made possible by our strategic partnership with Microsoft. Utilizing Microsoft Azure, we have been able to drive rapid innovation and create a robust, scalable platform that meets the rigorous requirements of compliance teams.” 
On the Sustainability and Social Impact Partner Award, Microsoft says, “Lucinity, with their innovative AI solutions, has really tried to combat this huge global challenge. They use ‘Human AI’ to enhance financial crime prevention, combining AI with human expertise for efficient, user-friendly solutions. Additionally, Lucinity has developed a tool called Luci, an AI-powered copilot that helps transform financial crime prevention from a process that took hours to one that takes minutes.”
Logo: https://mma.prnewswire.com/media/2208676/4669079/Lucinity_Logo.jpg
 

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