¼¼°èÀÇ ½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³ ½ÃÀå º¸°í¼­(2025³â)
Smart Vehicle Architecture Global Market Report 2025
»óǰÄÚµå : 1731038
¸®¼­Ä¡»ç : The Business Research Company
¹ßÇàÀÏ : On Demand Report
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 175 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,490 £Ü 6,212,000
PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 6,490 £Ü 8,980,000
PDF (Site License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷ÀåÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 8,490 £Ü 11,747,000
PDF (Enterprise License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


¤± Add-on °¡´É: °í°´ÀÇ ¿äû¿¡ µû¶ó ÀÏÁ¤ÇÑ ¹üÀ§ ³»¿¡¼­ CustomizationÀÌ °¡´ÉÇÕ´Ï´Ù. ÀÚ¼¼ÇÑ »çÇ×Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.
¤± º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼Û±âÀÏÀº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

Çѱ۸ñÂ÷

½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³ ½ÃÀå ±Ô¸ð´Â ÇâÈÄ ¼ö³â°£ ±Þ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ¿¹Ãø ±â°£ÀÇ ¼ºÀåÀº µðÁöÅÐ ¼î·ë ¹× °¡»ó Çö½Ç °æÇèÀÇ Áõ°¡, ÀÚÀ² ÁÖÇà Â÷·®ÀÇ Ã¤Åà Áõ°¡, °í±Þ ÀÎÆ÷Å×ÀÎ¸ÕÆ® ¹× ÅÚ·¹¸Åƽ½º ½Ã½ºÅÛ¿¡ ´ëÇÑ ¼ÒºñÀÚ ¼±È£µµ Áõ°¡, Çâ»óµÈ »ç¿ëÀÚ °æÇè¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡, ¼ÒÇÁÆ®¿þ¾î Á¤ÀÇ Â÷·®¿¡ ´ëÇÑ ÁýÁß °­È­¿¡ ±âÀÎÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ ±â°£ µ¿¾È ¿¹»óµÇ´Â ÁÖ¿ä Æ®·»µå·Î´Â ÇÏÀÌ¿£µå ±â¼úÀÇ ÅëÇÕ, ¼ÒÇÁÆ®¿þ¾î¿Í Çϵå¿þ¾îÀÇ ±ä¹ÐÇÑ ÅëÇÕ, ÷´Ü Àΰ£-±â°è ÀÎÅÍÆäÀ̽ºÀÇ °³¹ß, Áö¼ÓÀûÀÎ ±â¼ú ¹ßÀü, ½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³¿¡¼­ ÀΰøÁö´É°ú ¸Ó½Å ·¯´×ÀÇ »ç¿ë Áõ°¡ µîÀÌ ÀÖ½À´Ï´Ù.

ÀÚÀ² ÁÖÇà Â÷·®ÀÇ Ã¤ÅÃÀÌ Áõ°¡Çϸ鼭 ½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³ ½ÃÀåÀÇ ¼ºÀåÀ» °ßÀÎÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ÀÚÀ² ÁÖÇà ¶Ç´Â ¹«ÀÎ ÀÚµ¿Â÷¶ó°íµµ ÇÏ´Â ÀÚÀ² ÁÖÇà Â÷·®Àº ÷´Ü ¼¾¼­, Àΰø Áö´É ¹× ÀÚµ¿È­ ½Ã½ºÅÛÀ» °®Ãß°í ÀÖ¾î »ç¶÷ÀÇ °³ÀÔ ¾øÀ̵µ ÀÛµ¿ÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÚÀ² ÁÖÇàÂ÷ µµÀÔÀÌ Áõ°¡ÇÏ´Â ÀÌÀ¯´Â Àΰø Áö´É(AI)ÀÇ ¹ßÀü°ú µµ·Î ¾ÈÀü¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁ³±â ¶§¹®ÀÏ ¼ö ÀÖ½À´Ï´Ù. ÀÚÀ² ÁÖÇà Â÷·®Àº Ãæµ¹ »ç°í °¨¼Ò, ±³Åë È帧 °³¼±, ¾ÈÀüÇÑ ¿îÀü °æÇèÀ» ¾à¼ÓÇϸç, ÀÚÀ² ÁÖÇà ±â¼úÀº ¹Ì·¡ÀÇ ±³Åë¼ö´ÜÀ» À§ÇÑ ¸Å·ÂÀûÀÎ ¼Ö·ç¼ÇÀÌ µÇ°í ÀÖ½À´Ï´Ù. ÀÚÀ² ÁÖÇà Â÷·®Àº ¼¾¼­, ·¹ÀÌ´õ, °í¼º´É ÄÄÇ»ÆÃ ½Ã½ºÅÛÀ» ÅëÇØ ¹æ´ëÇÑ ¾çÀÇ ½Ç½Ã°£ µ¥ÀÌÅ͸¦ ó¸®ÇÏ¿© ¾ÈÀüÇϰí È¿À²ÀûÀÎ ¿îÇàÀ» º¸ÀåÇÕ´Ï´Ù. À̸¦ À§Çؼ­´Â ¼ÒÇÁÆ®¿þ¾î Á¤ÀÇ ½Ã½ºÅÛ, Ŭ¶ó¿ìµå ¿¬°á, °­·ÂÇÑ »çÀ̹ö º¸¾È ±â´ÉÀ» ÅëÇÕÇϴ ÷´Ü Â÷·® ¾ÆÅ°ÅØÃ³°¡ ÇÊ¿äÇÕ´Ï´Ù. ¿¹¸¦ µé¾î, 2023³â 9¿ù ¿µ±¹ ÀÇȸ´Â 2035³â±îÁö ¿µ±¹¿¡¼­ »ý»êµÇ´Â ½ÅÂ÷ÀÇ ¾à 40%°¡ ÀÚÀ² ÁÖÇà ±â´ÉÀ» °®Ãâ °ÍÀ¸·Î ¿¹»óÇÑ´Ù°í º¸°íÇß½À´Ï´Ù. °á°úÀûÀ¸·Î ÀÚÀ² ÁÖÇà Â÷·®ÀÇ Ã¤ÅÃÀÌ Áõ°¡Çϸ鼭 ½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³ ½ÃÀåÀÌ È®´ëµÇ°í ÀÖ½À´Ï´Ù.

½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³ ½ÃÀåÀ» ¼±µµÇÏ´Â ±â¾÷µéÀº ÀÚµ¿È­, ¾ÈÀü, ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®, ÷´Ü ¿îÀüÀÚ º¸Á¶ ½Ã½ºÅÛ(ADAS)À» °³¼±Çϱâ À§ÇØ AI ±â¹Ý Â÷·® ³» ÄÄÇ»ÆÃ°ú °°Àº ±â¼ú °³¹ß¿¡ ÁÖ·ÂÇϰí ÀÖ½À´Ï´Ù. AI ±â¹Ý Â÷·® ³» ÄÄÇ»ÆÃÀº ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®, ÀÚµ¿È­ °³¼±, ¾ÈÀü¼º Çâ»ó, ÷´Ü ADAS¸¦ °¡´ÉÇÏ°Ô ÇÔÀ¸·Î½á ½º¸¶Æ® Â÷·® ¾ÆÅ°ÅØÃ³¸¦ Çâ»ó½Ãŵ´Ï´Ù. ¿¹¸¦ µé¾î, 2024³â 1¿ù, ¹Ì±¹ ¹ÝµµÃ¼ ȸ»çÀÎ ÀÎÅÚÀº »õ·Î¿î AI ±â¹Ý ¼ÒÇÁÆ®¿þ¾î Á¤ÀÇ Â÷·® ½Ã½ºÅÛ ¿Â Ĩ(SoC) Á¦Ç°±ºÀ» Ãâ½ÃÇß½À´Ï´Ù. ÀÌ Ä¨Àº Â÷¼¼´ë Â÷·®¿¡ Á¦³Ê·¹ÀÌÆ¼ºê AI ±â¹Ý °Å½Ç °æÇèÀ» ÅëÇÕÇÏ¿© Â÷·® ³» ¿£ÅÍÅ×ÀÎ¸ÕÆ® ¹× ´ëÈ­Çü ±â´ÉÀ» Çâ»óÇϵµ·Ï ¼³°èµÇ¾ú½À´Ï´Ù. ÀÌ SoC´Â ÃֽŠÂ÷·®ÀÇ °í±Þ µ¥ÀÌÅÍ ±â¹Ý ±â´É¿¡ ´ëÇÑ Áõ°¡ÇÏ´Â ¼ö¿ä¸¦ ÃæÁ·Çϵµ·Ï ¸ÂÃãÈ­µÇ¾ú½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå ÁÖ¿ä ¿ä¾à

Á¦2Àå ½ÃÀå Æ¯Â¡

Á¦3Àå ½ÃÀå µ¿Çâ°ú Àü·«

Á¦4Àå ½ÃÀå - °Å½Ã°æÁ¦ ½Ã³ª¸®¿À ±Ý¸®, ÀÎÇ÷¹À̼Ç, ÁöÁ¤ÇÐ, ½ÅÇü Äڷγª ¹ÙÀÌ·¯½º °¨¿°ÀÇ ¿µÇâ°ú ȸº¹ÀÌ ½ÃÀå¿¡ ¹ÌÄ¡´Â ¿µÇâÀ» Æ÷ÇÔÇÑ °Å½Ã°æÁ¦ ½Ã³ª¸®¿À

Á¦5Àå ¼¼°èÀÇ ¼ºÀå ºÐ¼®°ú Àü·« ºÐ¼® ÇÁ·¹ÀÓ¿öÅ©

Á¦6Àå ½ÃÀå ¼¼ºÐÈ­

Á¦7Àå Áö¿ªº° ¹× ±¹°¡º° ºÐ¼®

Á¦8Àå ¾Æ½Ã¾ÆÅÂÆò¾ç ½ÃÀå

Á¦9Àå Áß±¹ ½ÃÀå

Á¦10Àå Àεµ ½ÃÀå

Á¦11Àå ÀϺ» ½ÃÀå

Á¦12Àå È£ÁÖ ½ÃÀå

Á¦13Àå Àεµ³×½Ã¾Æ ½ÃÀå

Á¦14Àå Çѱ¹ ½ÃÀå

Á¦15Àå ¼­À¯·´ ½ÃÀå

Á¦16Àå ¿µ±¹ ½ÃÀå

Á¦17Àå µ¶ÀÏ ½ÃÀå

Á¦18Àå ÇÁ¶û½º ½ÃÀå

Á¦19Àå ÀÌÅ»¸®¾Æ ½ÃÀå

Á¦20Àå ½ºÆäÀÎ ½ÃÀå

Á¦21Àå µ¿À¯·´ ½ÃÀå

Á¦22Àå ·¯½Ã¾Æ ½ÃÀå

Á¦23Àå ºÏ¹Ì ½ÃÀå

Á¦24Àå ¹Ì±¹ ½ÃÀå

Á¦25Àå ij³ª´Ù ½ÃÀå

Á¦26Àå ³²¹Ì ½ÃÀå

Á¦27Àå ºê¶óÁú ½ÃÀå

Á¦28Àå Áßµ¿ ½ÃÀå

Á¦29Àå ¾ÆÇÁ¸®Ä« ½ÃÀå

Á¦30Àå °æÀï ±¸µµ¿Í ±â¾÷ ÇÁ·ÎÆÄÀÏ

Á¦31Àå ±âŸ ÁÖ¿ä ±â¾÷ ¹× Çõ½Å ±â¾÷

Á¦32Àå ¼¼°è ½ÃÀå °æÀï º¥Ä¡¸¶Å·°ú ´ë½Ãº¸µå

Á¦33Àå ÁÖ¿ä ÀμöÇÕº´(M&A)

Á¦34Àå ÃÖ±Ù ½ÃÀå µ¿Çâ

Á¦35Àå ½ÃÀåÀÇ ÀáÀç·ÂÀÌ ³ôÀº ±¹°¡, ºÎ¹®, Àü·«

Á¦36Àå ºÎ·Ï

HBR
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Smart vehicle architecture is an advanced, modular, and software-driven vehicle design framework that integrates digital, electrical, and mechanical components to enhance vehicle functionality, safety, and efficiency. It enables seamless interaction between various in-vehicle systems, facilitating real-time data exchange, enhanced automation, and an improved user experience.

The primary components of smart vehicle architecture include hardware, software, and services. Hardware, consisting of processors, sensors, and communication modules, serves as the foundation for connectivity, automation, and safety, ensuring seamless system integration and enhanced vehicle performance. Smart vehicle architecture is implemented across various vehicle types, including passenger cars, commercial vehicles, and electric vehicles, utilizing different architectural models such as centralized architectures, zonal architectures, modular platforms, and distributed architectures. It supports various connectivity technologies, including vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-everything (V2X) communication, enabling applications such as autonomous driving, infotainment and user experience, safety and security, fleet management, and energy management.

The smart vehicle architecture market research report is one of a series of new reports from The Business Research Company that provides smart vehicle architecture market statistics, including the smart vehicle architecture industry global market size, regional shares, competitors with the smart vehicle architecture market share, detailed smart vehicle architecture market segments, market trends, and opportunities, and any further data you may need to thrive in the smart vehicle architecture industry. This smart vehicle architecture market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The smart vehicle architecture market size has grown rapidly in recent years. It will grow from $58.91 billion in 2024 to $66.60 billion in 2025 at a compound annual growth rate (CAGR) of 13.1%. The growth in the historic period was driven by increasing demand for connected vehicles, rising consumer interest in advanced safety features, the integration of cutting-edge technologies and networking solutions, the growing popularity of autonomous driving, and the expansion of the electric vehicle market.

The smart vehicle architecture market size is expected to see rapid growth in the next few years. It will grow to $108.21billion in 2029 at a compound annual growth rate (CAGR) of 12.9%. The growth in the forecast period can be attributed to the rise of digital showrooms and virtual reality experiences, the increasing adoption of autonomous vehicles, growing consumer preference for advanced infotainment and telematics systems, rising demand for an enhanced user experience, and a stronger focus on software-defined vehicles. Major trends expected during this period include the incorporation of high-end technologies, deeper integration of software and hardware, the development of advanced human-machine interfaces, continuous technological advancements, and the growing use of artificial intelligence and machine learning in smart vehicle architecture.

The increasing adoption of autonomous vehicles is expected to drive the growth of the smart vehicle architecture market. Autonomous vehicles, also known as self-driving or driverless cars, are equipped with advanced sensors, artificial intelligence, and automated systems that enable them to operate without human intervention. The rise in autonomous vehicle adoption can be attributed to advancements in artificial intelligence (AI) and a growing focus on road safety. These vehicles promise fewer collisions, better traffic flow, and a safer driving experience, making autonomous technology an appealing solution for the future of transportation. Autonomous vehicles rely on sensors, LiDAR, radar, and high-performance computing systems to process vast amounts of real-time data, ensuring safe and efficient operation. This, in turn, requires an advanced vehicle architecture that integrates software-defined systems, cloud connectivity, and robust cybersecurity features. For example, in September 2023, the UK Parliament reported that around 40% of new cars manufactured in the UK are expected to have self-driving capabilities by 2035. As a result, the growing adoption of autonomous vehicles is driving the expansion of the smart vehicle architecture market.

Leading companies in the smart vehicle architecture market are focused on developing technologies such as AI-driven in-vehicle computing to improve automation, safety, real-time data processing, and advanced driver assistance systems (ADAS). AI-driven in-vehicle computing enhances smart vehicle architecture by enabling real-time data processing, improved automation, better safety, and more advanced ADAS. For instance, in January 2024, Intel Corporation, a US-based semiconductor company, introduced a new family of AI-powered software-defined vehicle system-on-chips (SoCs). These chips are designed to integrate generative AI-driven living room experiences into next-generation vehicles, enhancing in-car entertainment and interactive features. These SoCs are tailored to meet the increasing demand for advanced, data-driven capabilities in modern vehicles.

In November 2024, Panasonic Automotive Systems Co. Ltd., a Japan-based automotive technology company, formed a partnership with Arm Ltd. to revolutionize automotive architecture. The collaboration aims to standardize the architecture for software-defined vehicles (SDVs) by developing a flexible software stack, leveraging the VirtIO framework, and addressing hardware-software decoupling. This partnership aims to accelerate development and overcome interface challenges in the automotive sector. Arm Ltd., a UK-based company, provides software-defined vehicle solutions for smart vehicle architecture.

Major players in the smart vehicle architecture market are Volkswagen Group, Toyota Motor Corporation, Ford Motor Company, Mercedes-Benz Group AG, Hyundai Motor Group, Robert Bosch GmbH, Zhejiang Geely Holding Group, ZF Friedrichshafen AG, Qualcomm Technologies Inc., Continental AG, Magna International Inc., Honeywell International Inc., Micron Technology Inc., Valeo SA, Texas Instruments Incorporated, Aptiv PLC, Infineon Technologies AG, NXP Semiconductors N.V., Elmos Semiconductor SE, Harman International.

North America was the largest region in the smart vehicle architecture market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in smart vehicle architecture report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the smart vehicle architecture market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The smart vehicle architecture market consists of revenues earned by entities by providing services such as centralized computing, cybersecurity management, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The smart vehicle architecture market includes sales of intelligent vehicle platforms and embedded control systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values and are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Smart Vehicle Architecture Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on smart vehicle architecture market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for smart vehicle architecture ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The smart vehicle architecture market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Smart Vehicle Architecture Market Characteristics

3. Smart Vehicle Architecture Market Trends And Strategies

4. Smart Vehicle Architecture Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Smart Vehicle Architecture Growth Analysis And Strategic Analysis Framework

6. Smart Vehicle Architecture Market Segmentation

7. Smart Vehicle Architecture Market Regional And Country Analysis

8. Asia-Pacific Smart Vehicle Architecture Market

9. China Smart Vehicle Architecture Market

10. India Smart Vehicle Architecture Market

11. Japan Smart Vehicle Architecture Market

12. Australia Smart Vehicle Architecture Market

13. Indonesia Smart Vehicle Architecture Market

14. South Korea Smart Vehicle Architecture Market

15. Western Europe Smart Vehicle Architecture Market

16. UK Smart Vehicle Architecture Market

17. Germany Smart Vehicle Architecture Market

18. France Smart Vehicle Architecture Market

19. Italy Smart Vehicle Architecture Market

20. Spain Smart Vehicle Architecture Market

21. Eastern Europe Smart Vehicle Architecture Market

22. Russia Smart Vehicle Architecture Market

23. North America Smart Vehicle Architecture Market

24. USA Smart Vehicle Architecture Market

25. Canada Smart Vehicle Architecture Market

26. South America Smart Vehicle Architecture Market

27. Brazil Smart Vehicle Architecture Market

28. Middle East Smart Vehicle Architecture Market

29. Africa Smart Vehicle Architecture Market

30. Smart Vehicle Architecture Market Competitive Landscape And Company Profiles

31. Smart Vehicle Architecture Market Other Major And Innovative Companies

32. Global Smart Vehicle Architecture Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Smart Vehicle Architecture Market

34. Recent Developments In The Smart Vehicle Architecture Market

35. Smart Vehicle Architecture Market High Potential Countries, Segments and Strategies

36. Appendix

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â