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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
CCTV systems' surveillance capabilities can be significantly improved by integrating AI, and these systems can also self-diagnose and report a fault with their functioning or an effort to tamper with the system.
For example, AI-integrated video analytics would be able to report if a camera's video signal was lost, its view was blocked, the viewing angle was changed, or the camera was defocused or unfocused, interfering with the ability to watch video. As a result, the technical and security teams can swiftly and aggressively address such issues.
Real-time monitoring and response to security risks and threats are essential in today's dynamic world.AI-driven video analytics and CCTV systems will be crucial in assuring safety and the sustainability of operations for the railways in the years to come, with billions of dollars and many lives to safeguard!
The India Railway AI Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The artificial intelligence-based chatbot "ASKDISHA" was recently released in Hindi by Indian Railways. IRCTC has now activated voice-enabled ASKDISHA to speak with clients in the Hindi language. ASKDISHA Chatbot was initially introduced in English but in order to better expand the customer services offered and to further strengthen the services of the chatbot. ASKDISHA will soon be available in more languages and with a variety of new features, according to IRCTC.
The chatbot is a unique computer software created to mimic conversations with consumers, particularly online. IRCTC's ground-breaking effort aims to improve accessibility by responding to users' inquiries about the numerous services provided to train passengers.
Since its original inception, ASKDISHA has benefited many passengers through interactions for help with ticket reservations, cancellations, refund status inquiries, fare, PNR searches, train running status inquiries, and inquiries about retiring accommodations and tourism products.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2030 |
21 | Product installation rate by OEM, 2022 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2022 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |