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3D XPoint
»óǰÄÚµå : 1757923
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¹ßÇàÀÏ : 2025³â 06¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 294 Pages
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2024³â¿¡ 22¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â ¼¼°èÀÇ 3D XPoint ½ÃÀåÀº 2024-2030³â¿¡ CAGR 12.3%·Î ¼ºÀåÇϸç, 2030³â¿¡´Â 44¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ ¸®Æ÷Æ®¿¡¼­ ºÐ¼®ÇÑ ºÎ¹®ÀÇ ÇϳªÀÎ 750GB ½ºÅ丮Áö´Â CAGR 14.1%¸¦ ±â·ÏÇϸç, ºÐ¼® ±â°£ Á¾·á½Ã¿¡´Â 27¾ï ´Þ·¯¿¡ ´ÞÇÒ Àü¸ÁÀÔ´Ï´Ù. 1.5TB ½ºÅ丮Áö ºÎ¹®ÀÇ ¼ºÀå·üÀº ºÐ¼® ±â°£¿¡ CAGR 9.5%·Î ÃßÁ¤µË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 5¾ï 9,870¸¸ ´Þ·¯, Áß±¹Àº CAGR 16.8%·Î ¼ºÀå ¿¹Ãø

¹Ì±¹ÀÇ 3D XPoint ½ÃÀåÀº 2024³â¿¡ 5¾ï 9,870¸¸ ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö 9¾ï 3,830¸¸ ´Þ·¯ÀÇ ½ÃÀå ±Ô¸ð¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ºÐ¼® ±â°£ÀÎ 2024-2030³âÀÇ CAGRÀº 16.8%ÀÔ´Ï´Ù. ±âŸ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ªº° ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ Áß CAGRÀº °¢°¢ 8.8%¿Í 11.0%·Î ¿¹ÃøµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ CAGR ¾à 9.8%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°èÀÇ 3D XPoint ½ÃÀå - ÁÖ¿ä µ¿Çâ°ú ÃËÁø¿äÀÎ Á¤¸®

3D XPoint ¸Þ¸ð¸®°¡ °í¼º´É ÄÄÇ»ÆÃ°ú µ¥ÀÌÅÍ Á᫐ ¾ÆÅ°ÅØÃ³¿¡¼­ DRAM°ú NAND¸¦ ¿¬°áÇÏ´Â ÆÄ±«ÀûÀÎ °¡±³ ¿ªÇÒÀ» ÇÏ´Â ÀÌÀ¯´Â ¹«¾ùÀΰ¡?

3D XPoint ¸Þ¸ð¸® ±â¼úÀº µ¿Àû RAM(DRAM)°ú NAND Ç÷¡½Ã »çÀÌÀÇ ¼º´É °ÝÂ÷¸¦ ÇØ¼ÒÇϱâ À§ÇØ ¼³°èµÈ ºñÈֹ߼º °í¼Ó ½ºÅ丮Áö Ŭ·¡½º ¸Þ¸ð¸®(SCM)·Î °¢±¤¹Þ°í ÀÖÀ¸¸ç, DRAM¿¡ °¡±î¿î ·¹ÀÌÅÏ½Ã¿Í NANDº¸´Ù ´õ ³ôÀº ³»±¸¼ºÀ» °¡Áø ¿µ±¸ ¸Þ¸ð¸®¸¦ Á¦°øÇÕ´Ï´Ù. ½Ç½Ã°£ ºÐ¼®, Àθ޸𸮠µ¥ÀÌÅͺ£À̽º, °¡»óÈ­, °í¼º´É ÄÄÇ»ÆÃ(HPC) µî µ¥ÀÌÅÍ Áý¾àÀûÀÎ ¿öÅ©·Îµå¿¡¼­ Å« ÀÌÁ¡À» Á¦°øÇÕ´Ï´Ù.

ƯÈ÷ Ŭ¶ó¿ìµå µ¥ÀÌÅͼ¾ÅÍ, AI Æ®·¹ÀÌ´× Å¬·¯½ºÅÍ, ±ÝÀ¶ °Å·¡ ½Ã½ºÅÛ¿¡¼­ Àü·Â ¾øÀÌ µ¥ÀÌÅ͸¦ º¸Á¸Çϰí ÃÊÀúÁö¿¬ ¾×¼¼½º ½Ã°£À» Á¦°øÇÏ´Â 3D XPoint´Â ¸Þ¸ð¸® °èÃþ±¸Á¶¸¦ ¼³°èÇÏ´Â ¹æ½ÄÀ» º¯È­½Ã۰í ÀÖ½À´Ï´Ù. Àбâ/¾²±â È¥ÇÕ ºÎÇÏ¿¡¼­ ³ôÀº 󸮷®À» ½ÇÇöÇÔÀ¸·Î½á Áö¿¬½Ã°£, ³»±¸¼º, È®À强ÀÌ ¹Ì¼Ç Å©¸®Æ¼ÄÃÇÑ Â÷¼¼´ë ÄÄÇ»ÆÃ ÆÐ·¯´ÙÀÓÀ» Áö¿øÇÕ´Ï´Ù. ±â¾÷ IT°¡ ¸Þ¸ð¸® Á᫐ ÄÄÇ»ÆÃÀ¸·Î ÁøÈ­ÇÏ´Â °¡¿îµ¥, ÀÌ ±â¼úÀº ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸®¿Í ´Ù°èÃþ ½ºÅ丮Áö ½ºÅÃÀÇ º´¸ñÇö»óÀ» ÁÙÀÏ ¼ö ÀÖ´Â Áß¿äÇÑ ±â¼úÀÔ´Ï´Ù.

½Ã½ºÅÛ ¾ÆÅ°ÅØÃ³, ÀÎÅÍÆäÀ̽º Ç¥ÁØ, ÀÌ¿ë »ç·ÊÀÇ È®´ë´Â 3D XPoint ±â¼úÀÇ ÁøÈ­¸¦ ¾î¶»°Ô Çü¼ºÇϰí Àִ°¡?

3D XPointÀÇ µµÀÔÀº NVMe ¹× DDR ÀÎÅÍÆäÀ̽º¸¦ Ȱ¿ëÇÏ¿© ±âÁ¸ ½Ã½ºÅÛ¿¡ ¿øÈ°ÇÏ°Ô ÅëÇյǴ Intel Optane°ú °°Àº ¸ðµâÀ» ÅëÇØ ÁøÇàµÇ¾î ¿Ô½À´Ï´Ù. ÀÌ·¯ÇÑ ¸ðµâÀº °í¼Ó SSD ¶Ç´Â ¿µ±¸ ¸Þ¸ð¸® DIMMÀ¸·Î »ç¿ëµÇ¾î ½Ã½ºÅÛ ¼³°èÀÚ¿¡°Ô ¸Þ¸ð¸® ¿ë·®°ú ¼º´ÉÀÇ ±ÕÇüÀ» À¯¿¬ÇÏ°Ô Á¦°øÇÕ´Ï´Ù. ¼­¹ö ¾ÆÅ°ÅØÃ³°¡ ÇÏÀ̺긮µå ¸Þ¸ð¸® ¸ðµ¨À» Áö¿øÇϵµ·Ï ÁøÈ­ÇÏ´Â °¡¿îµ¥, 3D XPoint´Â DRAMÀÇ º¯µ¿¼ºÀ̳ª ºñ¿ë È®ÀåÀÇ Á¦¾à ¾øÀÌ ¼ÒÄÏ´ç ¸Þ¸ð¸® ¹Ðµµ¸¦ ³ôÀÏ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù.

¿î¿µÃ¼Á¦, µ¥ÀÌÅͺ£À̽º, ¿ëµµ ·¹º§ÀÇ ÃÖÀûÈ­¸¦ ÅëÇØ ¿µ±¸ ¸Þ¸ð¸® ÇÁ·Î±×·¡¹Ö ¸ðµ¨À» Áö¿øÇÏ´Â ¿¡ÄڽýºÅÛÀº 3D XPointÀÇ ´ëÀÀ °¡´ÉÇÑ ½ÃÀåÀ» È®´ëÇϰí ÀÖ½À´Ï´Ù. À¯ÀüüÇÐ, ¸Ó½Å·¯´×, ½Ç½Ã°£ ¸®½ºÅ© ¸ðµ¨¸µ µî ´ë±Ô¸ð µ¥ÀÌÅͼ¼Æ®¿¡ ´ëÇÑ ºü¸¥ ¾×¼¼½º°¡ ÇÊ¿äÇÑ ¿öÅ©·Îµå¿¡¼­ SCM ±â¹Ý ¾ÆÅ°ÅØÃ³¸¦ äÅÃÇϰí ÀÖÀ¸¸ç, CXL(Compute Express Link) ¹× ±âŸ Â÷¼¼´ë ÀÎÅÍÄ¿³ØÆ® Ç¥ÁذúÀÇ È£È¯¼ºÀ» °­È­ÇÏ·Á´Â ¾÷°èÀÇ ³ë·Âµµ ȣȯ¼ºÀ» °­È­ÇÏ·Á´Â ¾÷°èÀÇ ³ë·ÂÀº 3D XPoint¸¦ ºÐÇØ °¡´ÉÇÏ°í ±¸¼º °¡´ÉÇÑ ÀÎÇÁ¶ó¿¡ ±¤¹üÀ§ÇÏ°Ô ÅëÇÕÇÒ ¼ö ÀÖ´Â ±â¹ÝÀ» ¸¶·ÃÇϰí ÀÖ½À´Ï´Ù.

Á¦Á¶»óÀÇ ¾î·Á¿ò°ú °æÁ¦¼ºÀÌ Á¦Ç° ·Îµå¸Ê °áÁ¤¿¡ °è¼Ó ¿µÇâÀ» ¹ÌÄ¡Áö¸¸, Å©·Î½ºÆ÷ÀÎÆ® ¾î·¹ÀÌ ½ºÄÉÀϸµ, ´Ù´Ü°è ¼¿ µ¿ÀÛ ¹× ÄÁÆ®·Ñ·¯ ¼³°èÀÇ Çõ½ÅÀº ¹Ì·¡ÀÇ ¹Ýº¹À» À§ÇØ ³»±¸¼º°ú ºñÆ® ¹Ðµµ¸¦ ÃÖÀûÈ­ÇÏ´Â µ¥ µµ¿òÀÌ µÇ°í ÀÖ½À´Ï´Ù.

3D XPoint ±â¹Ý ¼Ö·ç¼Ç¿¡ °ü½ÉÀ» º¸ÀÌ´Â ±â¾÷ ºÎ¹®, ¿ëµµ ¹× ¼¼°è Áö¿ªÀº?

ÇÏÀÌÆÛ½ºÄÉÀÏ µ¥ÀÌÅͼ¾ÅÍ, ±ÝÀ¶±â°ü, °úÇÐ ¿¬±¸½Ã¼³ µî Áß¿äÇÑ ¿öÅ©·Îµå¿¡ ´ëÇÑ ºü¸¥ µ¥ÀÌÅÍ ¾×¼¼½º¿Í ´ë¿ë·® ¸Þ¸ð¸® ½ÇÀû¸¦ ÇÊ¿ä·Î ÇÏ´Â ±â¾÷¿¡¼­ °¡Àå ¸¹ÀÌ Ã¤ÅÃÇϰí ÀÖ½À´Ï´Ù. Àθ޸𸮠µ¥ÀÌÅͺ£À̽º(SAP HANA µî), ÄÁÅÙÃ÷ Àü¼Û ³×Æ®¿öÅ©, º¹ÀâÇÑ ½Ã¹Ä·¹À̼ÇÀ» ½ÇÇàÇÏ´Â ±â¾÷Àº DRAM¿¡ ´ëÇÑ ÀÇÁ¸µµ¸¦ ÁÙ¿© ¼Óµµ Çâ»ó, Áö¿¬½Ã°£ °¨¼Ò, ÃѼÒÀ¯ºñ¿ë Àý°¨À» ½ÇÇöÇϱâ À§ÇØ 3D XPoint¸¦ äÅÃÇϰí ÀÖ½À´Ï´Ù.

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Global 3D XPoint Market to Reach US$4.4 Billion by 2030

The global market for 3D XPoint estimated at US$2.2 Billion in the year 2024, is expected to reach US$4.4 Billion by 2030, growing at a CAGR of 12.3% over the analysis period 2024-2030. 750 GB Storage, one of the segments analyzed in the report, is expected to record a 14.1% CAGR and reach US$2.7 Billion by the end of the analysis period. Growth in the 1.5 TB Storage segment is estimated at 9.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$598.7 Million While China is Forecast to Grow at 16.8% CAGR

The 3D XPoint market in the U.S. is estimated at US$598.7 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$938.3 Million by the year 2030 trailing a CAGR of 16.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 8.8% and 11.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.8% CAGR.

Global 3D XPoint Market - Key Trends & Drivers Summarized

Why Is 3D XPoint Memory Emerging as a Disruptive Bridge Between DRAM and NAND in High-Performance Computing and Data-Centric Architectures?

3D XPoint memory technology is gaining traction as a non-volatile, high-speed storage-class memory (SCM) designed to fill the performance gap between dynamic RAM (DRAM) and NAND flash. Co-developed to enable persistent memory with near-DRAM latency and higher endurance than NAND, 3D XPoint offers significant advantages in data-intensive workloads, including real-time analytics, in-memory databases, virtualization, and high-performance computing (HPC).

Its ability to retain data without power and deliver ultra-low latency access times is transforming how memory hierarchies are architected, particularly in cloud data centers, AI training clusters, and financial trading systems. By enabling byte-addressable persistence and greater throughput under mixed read/write loads, 3D XPoint supports next-generation computing paradigms where latency, endurance, and scalability are mission-critical. As enterprise IT evolves toward more memory-centric computing, this technology represents a key enabler of real-time data processing and reduced bottlenecks in multi-tier storage stacks.

How Are System Architectures, Interface Standards, and Use Case Expansion Shaping the Evolution of 3D XPoint Technology?

The deployment of 3D XPoint has advanced through modules like Intel Optane, which leveraged NVMe and DDR interfaces to integrate seamlessly with existing systems. These modules are being used either as high-speed SSDs or persistent memory DIMMs, offering system architects flexibility in balancing memory capacity and performance. As server architectures evolve to support hybrid memory models, 3D XPoint enables greater memory density per socket without the volatility or cost scaling constraints of DRAM.

Ecosystem support for persistent memory programming models-through operating system, database, and application-level optimization-is expanding the addressable market for 3D XPoint. Workloads that benefit from fast access to large datasets, such as genomics, machine learning, and real-time risk modeling, are increasingly adopting SCM-based architectures. Industry efforts to enhance compatibility with CXL (Compute Express Link) and other next-gen interconnect standards are also positioning 3D XPoint for broader integration in disaggregated and composable infrastructures.

While manufacturing challenges and economic viability continue to influence product roadmap decisions, innovations in cross-point array scaling, multi-level cell operation, and controller design are helping optimize endurance and bit density for future iterations.

Which Enterprise Segments, Applications, and Global Regions Are Driving Interest in 3D XPoint-Based Solutions?

Adoption is strongest among hyperscale data centers, financial institutions, and scientific research facilities that require rapid data access and large memory footprints for critical workloads. Enterprises running in-memory databases (e.g., SAP HANA), content delivery networks, and complex simulations are turning to 3D XPoint to improve speed, reduce latency, and lower total cost of ownership by reducing DRAM dependency.

North America remains the dominant market due to the presence of cloud hyperscalers, HPC clusters, and enterprise adopters with performance-centric infrastructure requirements. Europe follows with demand from AI research labs and industrial analytics platforms, while Asia-Pacific is gaining momentum as large-scale digital transformation and edge AI deployments accelerate across China, South Korea, and Japan.

Emerging applications include real-time fraud detection, autonomous driving simulations, genomic sequencing, and blockchain processing-all of which require low-latency, high-endurance memory solutions capable of handling volatile and persistent data with equal efficiency.

What Is Driving the Strategic Significance of 3D XPoint in the Future of Memory-Centric Compute Architectures?

3D XPoint is strategically positioned to redefine memory-storage convergence by addressing the limitations of both DRAM (cost, volatility) and NAND (latency, endurance). As workloads demand immediate access to expanding datasets and persistent memory becomes integral to system design, 3D XPoint fills a critical niche in reshaping compute hierarchies around data rather than processors.

Key growth drivers include the exponential growth of unstructured data, the need for real-time analytics at the edge and core, and increasing demand for high-throughput, low-latency systems. Industry focus on AI/ML acceleration, edge-to-cloud coherence, and energy-efficient architectures further underscores the relevance of persistent, high-speed memory technologies.

As computing moves toward disaggregated, memory-centric paradigms, could 3D XPoint unlock the next leap in speed, scalability, and architecture-level efficiency for data-first infrastructure?

SCOPE OF STUDY:

The report analyzes the 3D XPoint market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Storage Type (750 GB Storage, 1.5 TB Storage, Other Storage Types); End-Use (Telecommunications End-Use, Consumer Electronics End-Use, Automotive End-Use, Healthcare End-Use, Retail End-Use, Other End-Uses)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 48 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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