Global AI in Railway Market Research Report 2024

Publication ID:

PB505243212

Publication Date:

May 16, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

AI in railways refers to the implementation of artificial intelligence technologies to optimize and improve various aspects of railway operations, maintenance, and passenger services. It encompasses a range of applications including predictive maintenance, intelligent scheduling, route optimization, safety enhancement, and passenger experience enhancement. By leveraging AI algorithms and data analytics, railways can achieve better efficiency, reliability, safety, and overall performance.
The global AI in Railway market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI in Railway is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI in Railway is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI in Railway in Predictive Maintenance is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI in Railway include RMT, Lunarlight, Hawk System, ONYX, Dweepi, DRUM, Xpdeep, AllRead, EyeFlow.AI, Railspire, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI in Railway, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Railway.
The AI in Railway market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Railway market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Railway companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
RMT
Lunarlight
Hawk System
ONYX
Dweepi
DRUM
Xpdeep
AllRead
EyeFlow.AI
Railspire
AXO Track
Apital
RailState
Safety4Rails
RailVision Analytics
4AI Systems
Ci4Rail
Cervello
Segment by Type
Cloud-based
On-premise
Segment by Application
Predictive Maintenance
Intelligent Scheduling
Route Optimization
Safety Monitoring
Passenger Services
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Railway company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI in Railway Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global AI in Railway Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Predictive Maintenance
1.3.3 Intelligent Scheduling
1.3.4 Route Optimization
1.3.5 Safety Monitoring
1.3.6 Passenger Services
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Railway Market Perspective (2019-2030)
2.2 Global AI in Railway Growth Trends by Region
2.2.1 Global AI in Railway Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Railway Historic Market Size by Region (2019-2024)
2.2.3 AI in Railway Forecasted Market Size by Region (2025-2030)
2.3 AI in Railway Market Dynamics
2.3.1 AI in Railway Industry Trends
2.3.2 AI in Railway Market Drivers
2.3.3 AI in Railway Market Challenges
2.3.4 AI in Railway Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Railway Players by Revenue
3.1.1 Global Top AI in Railway Players by Revenue (2019-2024)
3.1.2 Global AI in Railway Revenue Market Share by Players (2019-2024)
3.2 Global AI in Railway Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI in Railway Revenue
3.4 Global AI in Railway Market Concentration Ratio
3.4.1 Global AI in Railway Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Railway Revenue in 2023
3.5 Global Key Players of AI in Railway Head office and Area Served
3.6 Global Key Players of AI in Railway, Product and Application
3.7 Global Key Players of AI in Railway, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Railway Breakdown Data by Type
4.1 Global AI in Railway Historic Market Size by Type (2019-2024)
4.2 Global AI in Railway Forecasted Market Size by Type (2025-2030)
5 AI in Railway Breakdown Data by Application
5.1 Global AI in Railway Historic Market Size by Application (2019-2024)
5.2 Global AI in Railway Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI in Railway Market Size (2019-2030)
6.2 North America AI in Railway Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Railway Market Size by Country (2019-2024)
6.4 North America AI in Railway Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Railway Market Size (2019-2030)
7.2 Europe AI in Railway Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Railway Market Size by Country (2019-2024)
7.4 Europe AI in Railway Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Railway Market Size (2019-2030)
8.2 Asia-Pacific AI in Railway Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Railway Market Size by Region (2019-2024)
8.4 Asia-Pacific AI in Railway Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Railway Market Size (2019-2030)
9.2 Latin America AI in Railway Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Railway Market Size by Country (2019-2024)
9.4 Latin America AI in Railway Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Railway Market Size (2019-2030)
10.2 Middle East & Africa AI in Railway Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Railway Market Size by Country (2019-2024)
10.4 Middle East & Africa AI in Railway Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 RMT
11.1.1 RMT Company Details
11.1.2 RMT Business Overview
11.1.3 RMT AI in Railway Introduction
11.1.4 RMT Revenue in AI in Railway Business (2019-2024)
11.1.5 RMT Recent Development
11.2 Lunarlight
11.2.1 Lunarlight Company Details
11.2.2 Lunarlight Business Overview
11.2.3 Lunarlight AI in Railway Introduction
11.2.4 Lunarlight Revenue in AI in Railway Business (2019-2024)
11.2.5 Lunarlight Recent Development
11.3 Hawk System
11.3.1 Hawk System Company Details
11.3.2 Hawk System Business Overview
11.3.3 Hawk System AI in Railway Introduction
11.3.4 Hawk System Revenue in AI in Railway Business (2019-2024)
11.3.5 Hawk System Recent Development
11.4 ONYX
11.4.1 ONYX Company Details
11.4.2 ONYX Business Overview
11.4.3 ONYX AI in Railway Introduction
11.4.4 ONYX Revenue in AI in Railway Business (2019-2024)
11.4.5 ONYX Recent Development
11.5 Dweepi
11.5.1 Dweepi Company Details
11.5.2 Dweepi Business Overview
11.5.3 Dweepi AI in Railway Introduction
11.5.4 Dweepi Revenue in AI in Railway Business (2019-2024)
11.5.5 Dweepi Recent Development
11.6 DRUM
11.6.1 DRUM Company Details
11.6.2 DRUM Business Overview
11.6.3 DRUM AI in Railway Introduction
11.6.4 DRUM Revenue in AI in Railway Business (2019-2024)
11.6.5 DRUM Recent Development
11.7 Xpdeep
11.7.1 Xpdeep Company Details
11.7.2 Xpdeep Business Overview
11.7.3 Xpdeep AI in Railway Introduction
11.7.4 Xpdeep Revenue in AI in Railway Business (2019-2024)
11.7.5 Xpdeep Recent Development
11.8 AllRead
11.8.1 AllRead Company Details
11.8.2 AllRead Business Overview
11.8.3 AllRead AI in Railway Introduction
11.8.4 AllRead Revenue in AI in Railway Business (2019-2024)
11.8.5 AllRead Recent Development
11.9 EyeFlow.AI
11.9.1 EyeFlow.AI Company Details
11.9.2 EyeFlow.AI Business Overview
11.9.3 EyeFlow.AI AI in Railway Introduction
11.9.4 EyeFlow.AI Revenue in AI in Railway Business (2019-2024)
11.9.5 EyeFlow.AI Recent Development
11.10 Railspire
11.10.1 Railspire Company Details
11.10.2 Railspire Business Overview
11.10.3 Railspire AI in Railway Introduction
11.10.4 Railspire Revenue in AI in Railway Business (2019-2024)
11.10.5 Railspire Recent Development
11.11 AXO Track
11.11.1 AXO Track Company Details
11.11.2 AXO Track Business Overview
11.11.3 AXO Track AI in Railway Introduction
11.11.4 AXO Track Revenue in AI in Railway Business (2019-2024)
11.11.5 AXO Track Recent Development
11.12 Apital
11.12.1 Apital Company Details
11.12.2 Apital Business Overview
11.12.3 Apital AI in Railway Introduction
11.12.4 Apital Revenue in AI in Railway Business (2019-2024)
11.12.5 Apital Recent Development
11.13 RailState
11.13.1 RailState Company Details
11.13.2 RailState Business Overview
11.13.3 RailState AI in Railway Introduction
11.13.4 RailState Revenue in AI in Railway Business (2019-2024)
11.13.5 RailState Recent Development
11.14 Safety4Rails
11.14.1 Safety4Rails Company Details
11.14.2 Safety4Rails Business Overview
11.14.3 Safety4Rails AI in Railway Introduction
11.14.4 Safety4Rails Revenue in AI in Railway Business (2019-2024)
11.14.5 Safety4Rails Recent Development
11.15 RailVision Analytics
11.15.1 RailVision Analytics Company Details
11.15.2 RailVision Analytics Business Overview
11.15.3 RailVision Analytics AI in Railway Introduction
11.15.4 RailVision Analytics Revenue in AI in Railway Business (2019-2024)
11.15.5 RailVision Analytics Recent Development
11.16 4AI Systems
11.16.1 4AI Systems Company Details
11.16.2 4AI Systems Business Overview
11.16.3 4AI Systems AI in Railway Introduction
11.16.4 4AI Systems Revenue in AI in Railway Business (2019-2024)
11.16.5 4AI Systems Recent Development
11.17 Ci4Rail
11.17.1 Ci4Rail Company Details
11.17.2 Ci4Rail Business Overview
11.17.3 Ci4Rail AI in Railway Introduction
11.17.4 Ci4Rail Revenue in AI in Railway Business (2019-2024)
11.17.5 Ci4Rail Recent Development
11.18 Cervello
11.18.1 Cervello Company Details
11.18.2 Cervello Business Overview
11.18.3 Cervello AI in Railway Introduction
11.18.4 Cervello Revenue in AI in Railway Business (2019-2024)
11.18.5 Cervello Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

RMT
Lunarlight
Hawk System
ONYX
Dweepi
DRUM
Xpdeep
AllRead
EyeFlow.AI
Railspire
AXO Track
Apital
RailState
Safety4Rails
RailVision Analytics
4AI Systems
Ci4Rail
Cervello

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