Press release
Autonomous Train Technology Market : Camera, Accelerometer, Odometer, Tachometer, Radio Set 2019-2026
The autonomous train technology market was valued at $5.88 billion in 2018, and is projected to reach $15.57 billion by 2026, growing at a CAGR of 12.9% from 2019 to 2026. The report offers an extensive analysis of current market dynamics, key winning strategies, industry roadmap, major segments, and competitive landscape.Increase in demand for cost-efficient & secure transport system and a decrease in accident cases and pollution drive the growth of the global autonomous train technology market. However, high charges for train automation and risk of hacking by cybercriminals hinder market growth. On the other hand, growth in railway infrastructure and rising preference of consumers towards train for transportation create new opportunities in the coming years.
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Covid-19 Scenario:
• During the coronavirus pandemic, the autonomous train technology will be impacted negatively due to the restrictions on the travelling across the globe.
• The budget for development of railways has decreased by governments of most nations as these nations are focusing more on the healthcare sector.
• Moreover, research and development activities have been halted by manufacturers of autonomous vehicles industry during the active lockdown.
• The unemployment has been increased in this industry due to immobile manufacturing activities.
Get detailed COVID-19 Impact Analysis on the Autonomous Train Technology Market Request Here!
The report offers a detailed segmentation of the global autonomous train technology market based on grade of automation, application, technology, component, and region.
Based on grades of automation (GOAs), the GOA 2 segment contributed to the largest share in 2018, accounting for nearly two-fifths of the total share, and is estimated to maintain its dominant position during the forecast period. However, the GOA 4 segment is expected to register the highest CAGR of 16.4% from 2019 to 2026.
Based on technology, the CBTC segment accounted for the largest share in 2018, holding more than half of the total share, and is expected to maintain the largest share throughout the forecast period. However, the ETRMS segment is estimated to portray the highest CAGR of 16.2% during the forecast period.
Based on region, Europe contributed the highest share, accounting for nearly three-fifths of the total autonomous train market market share in 2018, and will maintain its dominance throughout the forecast period. However, Asia-Pacific is expected to grow at the highest CAGR of 16.0% from 2019 to 2026.
Leading market players analyzed in the autonomous train market research include Alstom S.A., Bombardier Transportation, ABB, General Electric, CRRC Transportation, Kawasaki Heavy Industries, Hitachi Ltd, Siemens AG, Mitsubishi Heavy Industries, and Thales Group.
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domains. AMR offers its services across 11 industry verticals including Life Sciences, Consumer Goods, Materials & Chemicals, Construction & Manufacturing, Food & Beverages, Energy & Power, Semiconductor & Electronics, Automotive & Transportation, ICT & Media, Aerospace & Defense, and BFSI.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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