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½Å¿¡³ÊÁöÂ÷(NEV) Åýà ¼¼°è ½ÃÀåÀº 2030³â±îÁö 1¾ï 560¸¸ ´Þ·¯¿¡ ´ÞÇÒ Àü¸Á

2024³â¿¡ 3,860¸¸ ´Þ·¯·Î ÃßÁ¤µÇ´Â ½Å¿¡³ÊÁöÂ÷(NEV) Åýà ¼¼°è ½ÃÀåÀº 2024³âºÎÅÍ 2030³â±îÁö CAGR 18.2%·Î ¼ºÀåÇÏ¿© 2030³â¿¡´Â 1¾ï 560¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ ¹èÅ͸® Àü±âÀÚµ¿Â÷´Â CAGR 16.9%¸¦ ±â·ÏÇÏ¸ç ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 5,790¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÇÏÀ̺긮µå ÀÚµ¿Â÷ ºÎ¹®Àº ºÐ¼® ±â°£ µ¿¾È¿¡ CAGR 19.7%ÀÇ ¼ºÀåÀÌ Àü¸ÁµË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 1,020¸¸ ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 17.3%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ ½Å¿¡³ÊÁöÂ÷(NEV) Åýà ½ÃÀåÀº 2024³â¿¡ 1,020¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 1,630¸¸ ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³â CAGRÀº 17.3%¸¦ ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖ°í, ºÐ¼® ±â°£ µ¿¾È CAGRÀº °¢°¢ 16.6%¿Í 15.9%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 13.6%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ ½Å¿¡³ÊÁöÂ÷(NEV) Åýà ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

NEV Åýà º¸±ÞÀ» °¡¼ÓÈ­ÇÏ´Â ¹è±â°¡½º ±ÔÁ¦¶õ?

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NEV Â÷·® Áö¿øÀ» À§ÇÑ ±â¼ú°ú ÀÎÇÁ¶óÀÇ ¿ªÇÒÀº?

¹èÅ͸® ±â¼ú, ƯÈ÷ ¿¡³ÊÁö ¹Ðµµ¿Í ÃæÀü ¼ÓµµÀÇ ¹ßÀüÀ¸·Î NEV ÅýÃÀÇ ¿¬¼Ó ¿îÇàÀÌ ´õ¿í Çö½ÇÈ­µÇ¾ú½À´Ï´Ù. ¸¹Àº µµ½ÃµéÀÌ Åýà Â÷·®ÀÇ ´Ù¿îŸÀÓÀ» ÃÖ¼ÒÈ­Çϰí Åýà Â÷·®À» Áö¿øÇϱâ À§ÇØ ±Þ¼Ó ÃæÀü¼Ò ¹× ¹èÅ͸® ±³Ã¼ ½ºÅ×À̼ÇÀ» °³¹ßÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ÀÎÇÁ¶ó °³¹ßÀº ÅýÃÀÇ °¡µ¿·ü°ú ¼Ò¿ä½Ã°£ÀÌ Â÷·®ÀÇ ¼öÀͼº¿¡ Å« ¿µÇâÀ» ¹ÌÄ¡´Â °í¼ö¿ä Áö¿ª¿¡¼­ ¼­ºñ½º È¿À²À» À¯ÁöÇϱâ À§ÇØ ÇʼöÀûÀÔ´Ï´Ù.

±â¼ú ¶ÇÇÑ ÇÔ´ë ¿î¿µÀ» À籸¼ºÇϰí ÀÖ½À´Ï´Ù. AI¸¦ Ȱ¿ëÇÑ °æ·Î ÃÖÀûÈ­, ½º¸¶Æ® ¹èÂ÷, ÅëÇÕ ÅÚ·¹¸Åƽ½º´Â Â÷·® °¡µ¿·ü°ú ½Â°´ÀÇ ´ë±â ½Ã°£À» °³¼±Çϰí ÀÖ½À´Ï´Ù. Â÷·® °ü¸®ÀÚ´Â ¼ÒÇÁÆ®¿þ¾î Ç÷§ÆûÀ» Ȱ¿ëÇÏ¿© ¹èÅ͸® »óŸ¦ ¸ð´ÏÅ͸µÇϰí, ÃæÀü ½ºÄÉÁÙÀ» ¼³Á¤Çϰí, ¿¡³ÊÁö ºñ¿ëÀ» ÃÖ¼ÒÈ­Çϱâ À§ÇØ ¼ÒÇÁÆ®¿þ¾î Ç÷§ÆûÀ» Ȱ¿ëÇÕ´Ï´Ù. ÀÌ¿Í ÇÔ²² ¹ÝÀÚÀ²ÁÖÇà ¾ÈÀü ±â´É°ú ½Ç½Ã°£ Áø´ÜÀ» µµÀÔÇÏ¿© À§ÇèÀ» ÁÙÀ̰í Àüü NEV Åýà ¼­ºñ½ºÀÇ ¿îÇà Àϰü¼ºÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

ºñÁî´Ï½º ¸ðµ¨Àº NEV Åýà »ýŰ迡 ¾î¶»°Ô ÀûÀÀÇϰí Àִ°¡?

NEV Åýà ½ÃÀåÀÇ ¼ÒÀ¯ ¹× ¿î¿µ ¸ðµ¨Àº Áö¿ª »óȲ¿¡ µû¶ó ´Ù¾çÈ­µÇ°í ÀÖ½À´Ï´Ù. ÀϺΠ±¹°¡¿¡¼­´Â ¶óÀ̵å ÇìÀϸµ ȸ»çµéÀÌ ´ë±Ô¸ð ÀÚº» ÅõÀÚ ¾øÀÌ NEVÀÇ Á¸Àç°¨À» È®´ëÇϱâ À§ÇØ Â÷·® ÀÓ´ë ¹× ÀÚ»ê ÀÓ´ë ¸ðµ¨À» äÅÃÇϰí ÀÖ½À´Ï´Ù. »ç¾÷ÀÚ´Â ¿îÀüÀÚ¿¡°Ô Á÷Á¢ Â÷·®À» ÀÓ´ëÇϰųª ÅëÇÕ ÃæÀü ¹°·ù¿¡ ÀÇÇØ Áö¿øµÇ´Â Áß¾Ó ÁýÁᫎ Â÷·®À» °ü¸®Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Á¢±Ù ¹æ½ÄÀº ºü¸¥ È®À强À» °¡´ÉÇÏ°Ô Çϰí, ¿îÀüÀÚÀÇ ¿î¿µ ¸¶ÂûÀ» ÁÙ¿©ÁÝ´Ï´Ù.

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NEV Åýà ½ÃÀåÀÇ ¼ºÀåÀº ¸î °¡Áö ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù.

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Global New Energy Vehicle (NEV) Taxis Market to Reach US$105.6 Million by 2030

The global market for New Energy Vehicle (NEV) Taxis estimated at US$38.6 Million in the year 2024, is expected to reach US$105.6 Million by 2030, growing at a CAGR of 18.2% over the analysis period 2024-2030. Battery Electric Vehicles, one of the segments analyzed in the report, is expected to record a 16.9% CAGR and reach US$57.9 Million by the end of the analysis period. Growth in the Hybrid Vehicles segment is estimated at 19.7% CAGR over the analysis period.

The U.S. Market is Estimated at US$10.2 Million While China is Forecast to Grow at 17.3% CAGR

The New Energy Vehicle (NEV) Taxis market in the U.S. is estimated at US$10.2 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$16.3 Million by the year 2030 trailing a CAGR of 17.3% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.6% and 15.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 13.6% CAGR.

Global New Energy Vehicle (NEV) Taxis Market - Key Trends & Drivers Summarized

How Are Emission Mandates Accelerating NEV Taxi Deployment?

Stricter emission regulations across major cities have intensified efforts to shift urban transportation toward cleaner alternatives. As part of broader climate goals, municipal governments are prioritizing electrification of taxi fleets to reduce carbon output and urban pollution. New Energy Vehicle (NEV) taxis, including battery electric, plug-in hybrid, and hydrogen-powered variants, are being integrated into city-level public mobility strategies. Operators are responding to mandates and incentives by replacing aging internal combustion engine taxis with zero-emission or low-emission alternatives.

Supportive policies, such as tax exemptions, registration privileges, and purchase subsidies, are easing the transition for taxi owners and fleet operators. In many urban centers, NEV taxis are being prioritized for operating permits or given access to designated green lanes. This regulatory support, combined with rising consumer preference for sustainable ride-hailing options, is helping to scale adoption across both government-backed fleets and private mobility platforms.

What Role Do Technologies and Infrastructure Play in Supporting NEV Fleets?

Advances in battery technology, especially in energy density and charge speed, have made NEV taxis more practical for continuous operation. Many cities are developing fast-charging and battery-swapping stations to support taxi fleets with minimal downtime. These infrastructure developments are essential for maintaining service efficiency in high-demand zones, where taxi availability and turnaround time are critical to fleet profitability.

Technology is also reshaping fleet operations. AI-powered route optimization, smart dispatching, and integrated telematics are improving vehicle utilization and passenger wait times. Fleet managers are leveraging software platforms to monitor battery health, schedule recharges, and minimize energy costs. In parallel, the introduction of semi-autonomous safety features and real-time diagnostics is reducing risk and improving operational consistency across NEV taxi services.

How Are Business Models Adapting to the NEV Taxi Ecosystem?

Ownership and operational models in the NEV taxi market are diversifying to align with regional conditions. In several countries, ride-hailing companies are adopting fleet-leasing or asset-light models to expand NEV presence without large capital investments. Operators lease vehicles directly to drivers or manage centralized fleets supported by integrated charging logistics. This approach allows quicker scalability and reduced operational friction for drivers.

In dense city centers, compact NEV models with modest range are preferred for intracity travel, offering efficiency in traffic and ease of charging. In suburban or regional zones, plug-in hybrid and extended-range electric taxis are still deployed where infrastructure coverage is limited. Vehicle selection also depends on regional regulatory thresholds for emissions and fuel standards. Localized adaptation of fleet composition and service models reflects how the NEV taxi market is evolving differently across geographies.

Growth in the NEV taxi market is driven by several factors.

Expanding regulatory pressure to reduce vehicle emissions is compelling taxi operators to adopt cleaner vehicle technologies. Financial incentives and subsidies are reducing the cost burden of NEV adoption for both individual drivers and large fleet owners. Advances in battery efficiency and the rollout of fast-charging or battery-swapping stations are enabling continuous taxi operations. Digital fleet management tools and AI-enabled mobility platforms are improving operational visibility and profitability. Urban infrastructure planning is increasingly favoring electric vehicle adoption through charging networks and emission-restricted zones. Growing environmental awareness and consumer preference for eco-friendly mobility services are also contributing to increased demand for NEV taxis.

SCOPE OF STUDY:

The report analyzes the New Energy Vehicle (NEV) Taxis market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Type (Battery Electric Vehicles, Hybrid Vehicles, Plug-in Hybrid Electric Vehicles); End-Use (Passenger Cars End-Use, Commercial Vehicles End-Use)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 36 Featured) -

AI INTEGRATIONS

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Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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