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NoSQL
»óǰÄÚµå : 1565105
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¹ßÇàÀÏ : 2024³â 10¿ù
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NoSQL ¼¼°è ½ÃÀå, 2030³â±îÁö 1,023¾ï ´Þ·¯ ±Ô¸ð¿¡ ´ÞÇÒ Àü¸Á

2023³â 172¾ï ´Þ·¯·Î ÃßÁ¤µÇ´Â NoSQL(NoSQL) ¼¼°è ½ÃÀåÀº 2023³âºÎÅÍ 2030³â±îÁö ¿¬Æò±Õ 29.0% ¼ºÀåÇÏ¿© 2030³â¿¡´Â 1,023¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. º» º¸°í¼­¿¡¼­ ºÐ¼®ÇÑ ºÎ¹® Áß ÇϳªÀÎ À¥ ¾Û ¾ÖÇø®ÄÉÀÌ¼Ç ºÎ¹®Àº CAGR 33.1%¸¦ ±â·ÏÇÏ¿© ºÐ¼® ±â°£ Á¾·á ½ÃÁ¡¿¡ 395¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. µ¥ÀÌÅÍ ºÐ¼® ¾ÖÇø®ÄÉÀÌ¼Ç ºÎ¹®Àº ºÐ¼® ±â°£ µ¿¾È CAGR 30.2%ÀÇ ¼ºÀå·üÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¹Ì±¹ ½ÃÀåÀº 50¾ï ´Þ·¯·Î ÃßÁ¤, Áß±¹Àº CAGR 27.6%·Î ¼ºÀåÇÒ °ÍÀ¸·Î Àü¸Á

¹Ì±¹ NoSQL ½ÃÀå ±Ô¸ð´Â 2023³â 50¾ï ´Þ·¯·Î ÃßÁ¤µË´Ï´Ù. ¼¼°è 2À§ÀÇ °æÁ¦ ´ë±¹ÀÎ Áß±¹Àº 2030³â±îÁö ½ÃÀå ±Ô¸ð°¡ 148¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, 2023-2030³â ºÐ¼® ±â°£ µ¿¾È 27.6%ÀÇ CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ´Ù¸¥ ÁÖ¸ñÇÒ ¸¸ÇÑ Áö¿ª ½ÃÀåÀ¸·Î´Â ÀϺ»°ú ij³ª´Ù°¡ ÀÖÀ¸¸ç, ºÐ¼® ±â°£ µ¿¾È °¢°¢ 26.3%¿Í 24.0%ÀÇ CAGRÀ» ±â·ÏÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. À¯·´¿¡¼­´Â µ¶ÀÏÀÌ ¾à 19.4%ÀÇ CAGR·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

¼¼°è NoSQL µ¥ÀÌÅͺ£À̽º ½ÃÀå - ÁÖ¿ä µ¿Çâ ¹× ÃËÁø¿äÀÎ ¿ä¾à

NoSQLÀ̶õ ¹«¾ùÀ̸ç, ¿Ö Ãֽе¥ÀÌÅÍ °ü¸®¿¡ Áß¿äÇѰ¡?

NoSQL(Not Only SQL) µ¥ÀÌÅͺ£À̽º´Â ´ë±Ô¸ðÀÇ ºñÁ¤Çü ¶Ç´Â ¹ÝÁ¤Çü µ¥ÀÌÅ͸¦ ó¸®Çϱâ À§ÇØ ¼³°èµÈ ºñ°ü°èÇü µ¥ÀÌÅͺ£À̽º °ü¸® ½Ã½ºÅÛÀÇ ÀÏÁ¾ÀÔ´Ï´Ù. ±¸Á¶È­µÈ Äõ¸® ¾ð¾î(SQL)¿Í ¹Ì¸® Á¤ÀÇµÈ ½ºÅ°¸¶¸¦ »ç¿ëÇÏ´Â ±âÁ¸ °ü°èÇü µ¥ÀÌÅͺ£À̽º¿Í ´Þ¸®, NoSQL µ¥ÀÌÅͺ£À̽º´Â ¹®¼­, Ű °ª, Ä÷³ ÆÐ¹Ð¸®, ±×·¡ÇÁ µ¥ÀÌÅͺ£À̽º¿Í °°Àº À¯¿¬ÇÑ µ¥ÀÌÅÍ ¸ðµ¨À» Á¦°øÇÕ´Ï´Ù. NoSQL µ¥ÀÌÅͺ£À̽º´Â È®À强, À¯¿¬¼º, ´Ù¾çÇÑ µ¥ÀÌÅÍ À¯ÇüÀ» ó¸®ÇÒ ¼ö Àֱ⠶§¹®¿¡ ºòµ¥ÀÌÅÍ, ½Ç½Ã°£ ºÐ¼®, ÄÜÅÙÃ÷ °ü¸®, »ç¹°ÀÎÅͳÝ(IoT) ½Ã½ºÅÛ µîÀÇ ¾ÖÇø®ÄÉÀ̼ǿ¡ ÀÌ»óÀûÀ̸ç, Ãֽе¥ÀÌÅÍ °ü¸®¿¡ ÇʼöÀûÀÔ´Ï´Ù.

NoSQLÀÇ Á߿伺Àº ÃֽоÖÇø®ÄÉÀ̼ǿ¡¼­ »ý¼ºµÇ´Â µ¥ÀÌÅÍÀÇ ¾ç, ¼Óµµ, ´Ù¾ç¼ºÀ» ó¸®ÇÒ ¼ö ÀÖ´Â ´É·Â¿¡ ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, ¼Ò¼È ¹Ìµð¾î, ¸ð¹ÙÀÏ ±â±â, IoT µî µ¥ÀÌÅÍ »ý¼º¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁü¿¡ µû¶ó NoSQL µ¥ÀÌÅͺ£À̽º´Â ´ë±Ô¸ð µ¥ÀÌÅÍ ¼¼Æ®¸¦ °ü¸®ÇÒ ¼ö ÀÖ´Â È®Àå °¡´ÉÇÏ°í °í¼º´ÉÀÇ ¼Ö·ç¼ÇÀ» Á¦°øÇÕ´Ï´Ù. °ü°èÇü µ¥ÀÌÅͺ£À̽º¿Í °°Àº °æÁ÷µÈ ±¸Á¶°¡ ¾Æ´Ñ º¯È­ÇÏ´Â ¿ä±¸¿¡ µû¶ó µ¥ÀÌÅÍ ¸ðµ¨À» Á¶Á¤ÇÒ ¼ö ÀÖ¾î, ´Ù¾çÇϰí Áõ°¡ÇÏ´Â µ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î °ü¸®ÇϰíÀÚ ÇÏ´Â ±â¾÷¿¡°Ô ÇʼöÀûÀÎ µµ±¸°¡ µÇ°í ÀÖ½À´Ï´Ù.

NoSQL µ¥ÀÌÅͺ£À̽º ½ÃÀåÀº ¾î¶»°Ô ÁøÈ­Çϰí Àִ°¡?

NoSQL µ¥ÀÌÅͺ£À̽º ½ÃÀåÀº È®Àå °¡´ÉÇϰí À¯¿¬ÇÑ µ¥ÀÌÅÍ °ü¸® ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÔ¿¡ µû¶ó ÁøÈ­Çϰí ÀÖ½À´Ï´Ù. ÁÖ¿ä Æ®·»µå Áß Çϳª´Â Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ȯ°æ¿¡¼­ NoSQL µ¥ÀÌÅͺ£À̽ºÀÇ Ã¤ÅÃÀÌ Áõ°¡Çϰí ÀÖ´Ù´Â Á¡ÀÔ´Ï´Ù. Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ȯ°æ¿¡¼­´Â ´ë±Ô¸ðÀÇ µ¿Àû ¿öÅ©·Îµå¸¦ ó¸®Çϱâ À§ÇØ È®À强°ú À¯¿¬¼ºÀÌ ÇʼöÀûÀ̸ç, ¾Æ¸¶Á¸ À¥ ¼­ºñ½º(AWS), ¸¶ÀÌÅ©·Î¼ÒÇÁÆ® ¾ÖÀú(Microsoft Azure), ±¸±Û Ŭ¶ó¿ìµå(Google Cloud)¿Í °°Àº Ŭ¶ó¿ìµå Á¦°ø¾÷üµéÀº MongoDB, Cassandra, Couchbase¿Í °°Àº NoSQL µ¥ÀÌÅͺ£À̽º¸¦ ÀÚ»ç Ç÷§Æû¿¡ ÅëÇÕÇÏ¿© »ç¿ëÀÚ¿¡°Ô ºñÁ¤Çü µ¥ÀÌÅ͸¦ º¸´Ù È®Àå °¡´ÉÇϰí È¿À²ÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» Á¦°øÇϰí ÀÖ½À´Ï´Ù.

¶Ç ´Ù¸¥ Áß¿äÇÑ Æ®·»µå´Â ½Ç½Ã°£ ºÐ¼® ¹× ºòµ¥ÀÌÅÍ ¾ÖÇø®ÄÉÀ̼ǿ¡¼­ NoSQL µ¥ÀÌÅͺ£À̽ºÀÇ È°¿ëÀÌ È®´ëµÇ°í ÀÖ´Ù´Â Á¡ÀÔ´Ï´Ù. NoSQL µ¥ÀÌÅͺ£À̽º´Â Hadoop, Spark¿Í °°Àº ´Ù¸¥ ºòµ¥ÀÌÅÍ ±â¼ú°ú ÅëÇÕµÇ¾î ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ ½Ç½Ã°£À¸·Î ó¸®ÇÏ°í ºÐ¼®ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» Çâ»ó½Ã۰í ÀÖ½À´Ï´Ù.

NoSQL µ¥ÀÌÅͺ£À̽º µµÀÔÀ» ÁÖµµÇϰí ÀÖ´Â »ê¾÷Àº?

±â¼ú ºÐ¾ß, ƯÈ÷ ºòµ¥ÀÌÅÍ ºÐ¼®, AI, ¸Ó½Å·¯´× °ü·Ã ±â¾÷µéÀº NoSQL µ¥ÀÌÅͺ£À̽º¸¦ °¡Àå ¸¹ÀÌ Ã¤ÅÃÇϰí ÀÖÀ¸¸ç, NoSQL µ¥ÀÌÅͺ£À̽º´Â ¼Ò¼È ¹Ìµð¾î, ¸ð¹ÙÀÏ ¾Û, IoT ±â±â¿¡¼­ ¹ß»ýÇÏ´Â ºñÁ¤Çü µ¥ÀÌÅ͸¦ ÀúÀåÇÏ°í ºÐ¼®Çϱâ À§ÇØ ±â¼ú ±â¾÷¿¡¼­ ³Î¸® »ç¿ëµÇ°í ÀÖ½À´Ï´Ù. E-Commerce ±â¾÷µéµµ °í°´ µ¥ÀÌÅÍ, »óǰ īŻ·Î±×, ½Ç½Ã°£ Æ®·£Àè¼Ç µ¥ÀÌÅ͸¦ °ü¸®Çϱâ À§ÇØ NoSQL µ¥ÀÌÅͺ£À̽º¸¦ ¸¹ÀÌ »ç¿ëÇϰí ÀÖÀ¸¸ç, NoSQLÀÇ È®À强°ú À¯¿¬¼ºÀº ºü¸£°í ¾ÈÁ¤ÀûÀÎ µ¥ÀÌÅÍ °ü¸®°¡ ÇÊ¿äÇÑ Æ®·¡ÇÈÀÌ ¸¹Àº E-Commerce Ç÷§Æû¿¡ ÀÌ»óÀûÀÔ´Ï´Ù. µ¥ÀÌÅÍ °ü¸®¸¦ ÇÊ¿ä·Î ÇÏ´Â Æ®·¡ÇÈÀÌ ¸¹Àº E-Commerce Ç÷§Æû¿¡ ÀÌ»óÀûÀÎ ¼Ö·ç¼ÇÀÔ´Ï´Ù.

±ÝÀ¶ ¼­ºñ½º ¾÷°è¿¡¼­µµ NoSQL µ¥ÀÌÅͺ£À̽º¸¦ µµÀÔÇØ ºÎÁ¤ÇàÀ§ ŽÁö, ½Ç½Ã°£ ºÐ¼®, °í°´ µ¥ÀÌÅÍ °ü¸® µî¿¡ Ȱ¿ëÇϰí ÀÖ½À´Ï´Ù. ÇコÄÉ¾î ¾÷°è¿¡¼­´Â ÀüÀڰǰ­±â·Ï(EHR), ȯÀÚ µ¥ÀÌÅÍ, ÀÇ·á ¿µ»ó °ü¸®¿¡ NoSQLÀ» Ȱ¿ëÇÏ´Â »ç·Ê°¡ ´Ã°í ÀÖ½À´Ï´Ù. °ÔÀÓ ¾÷°è¿¡¼­µµ NoSQL µ¥ÀÌÅͺ£À̽º´Â °ÔÀÓ ³» µ¥ÀÌÅÍ, Ç÷¹À̾î¿ÍÀÇ »óÈ£ÀÛ¿ë, °³ÀÎÈ­µÈ °æÇèÀ» À§ÇÑ ½Ç½Ã°£ ºÐ¼® µîÀ» °ü¸®ÇÏ´Â µ¥ Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù.

NoSQL µ¥ÀÌÅͺ£À̽º ½ÃÀåÀÇ ÁÖ¿ä ¼ºÀå µ¿·ÂÀº ¹«¾ùÀΰ¡?

NoSQL µ¥ÀÌÅͺ£À̽º ½ÃÀåÀÇ ¼ºÀåÀº ºòµ¥ÀÌÅÍ ¹× ½Ç½Ã°£ ºÐ¼® ¾ÖÇø®ÄÉÀ̼ǿ¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î ÀÎÇÑ °ÍÀÔ´Ï´Ù. ±â¾÷µéÀÌ IoT ±â±â, ¼Ò¼È ¹Ìµð¾î, ¸ð¹ÙÀÏ ¾ÖÇø®ÄÉÀ̼ǿ¡¼­ ´õ ¸¹Àº ºñÁ¤Çü µ¥ÀÌÅ͸¦ »ý¼ºÇÏ°í ¼öÁýÇÔ¿¡ µû¶ó, NoSQL µ¥ÀÌÅͺ£À̽º´Â ÀÌ·¯ÇÑ ´Ù¾çÇÑ µ¥ÀÌÅÍ ¼¼Æ®¸¦ ÀúÀåÇÏ°í °ü¸®ÇÏ´Â µ¥ ÇÊ¿äÇÑ È®À强°ú À¯¿¬¼ºÀ» Á¦°øÇÕ´Ï´Ù. ¶ÇÇÑ, Ŭ¶ó¿ìµå ÄÄÇ»ÆÃÀÇ ºÎ»óµµ Áß¿äÇÑ ¿øµ¿·ÂÀÌ µÇ°í ÀÖÀ¸¸ç, NoSQL µ¥ÀÌÅͺ£À̽º´Â ¿ªµ¿ÀûÀÌ°í Æ®·¡ÇÈÀÌ ¸¹Àº ȯ°æ¿¡¼­ µ¥ÀÌÅÍ °ü¸®¸¦ À§ÇÑ ºñ¿ë È¿À²ÀûÀ̰í È®À强ÀÌ ¶Ù¾î³­ ¼Ö·ç¼ÇÀ» Á¦°øÇÕ´Ï´Ù.

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Global NoSQL Market to Reach US$102.3 Billion by 2030

The global market for NoSQL estimated at US$17.2 Billion in the year 2023, is expected to reach US$102.3 Billion by 2030, growing at a CAGR of 29.0% over the analysis period 2023-2030. Web Apps Application, one of the segments analyzed in the report, is expected to record a 33.1% CAGR and reach US$39.5 Billion by the end of the analysis period. Growth in the Data Analytics Application segment is estimated at 30.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$5.0 Billion While China is Forecast to Grow at 27.6% CAGR

The NoSQL market in the U.S. is estimated at US$5.0 Billion in the year 2023. China, the world's second largest economy, is forecast to reach a projected market size of US$14.8 Billion by the year 2030 trailing a CAGR of 27.6% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 26.3% and 24.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.4% CAGR.

Global NoSQL Database Market - Key Trends & Drivers Summarized

What Is NoSQL and Why Is It Important for Modern Data Management?

NoSQL (Not Only SQL) databases are a class of non-relational database management systems designed to handle large-scale, unstructured, or semi-structured data. Unlike traditional relational databases that use structured query language (SQL) and predefined schemas, NoSQL databases offer flexible data models such as document, key-value, column-family, and graph databases. NoSQL databases are essential for modern data management because they provide scalability, flexibility, and the ability to handle diverse data types, making them ideal for applications like big data, real-time analytics, content management, and Internet of Things (IoT) systems.

The importance of NoSQL lies in its ability to handle the volume, velocity, and variety of data generated by modern applications. As companies increasingly rely on cloud computing, social media, mobile devices, and IoT for data generation, NoSQL databases offer a scalable, high-performance solution for managing large datasets. NoSQL’s flexibility enables organizations to adjust data models as their needs evolve, without the rigid structure of traditional relational databases, making it a vital tool for businesses looking to manage diverse and growing data effectively.

How Is the NoSQL Database Market Evolving?

The NoSQL database market is evolving as the demand for scalable and flexible data management solutions grows. One of the key trends is the increasing adoption of NoSQL databases in cloud computing environments, where scalability and flexibility are critical for handling large and dynamic workloads. Cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud are integrating NoSQL databases such as MongoDB, Cassandra, and Couchbase into their platforms, offering users a more scalable and efficient way to manage unstructured data.

Another important trend is the growing use of NoSQL databases in real-time analytics and big data applications. NoSQL’s ability to store and process data quickly and at scale is making it increasingly popular for applications such as real-time data streaming, machine learning, and AI. NoSQL databases are also being integrated with other big data technologies like Hadoop and Spark, enhancing their ability to process and analyze vast amounts of data in real time.

Which Industries Are Leading the Adoption of NoSQL Databases?

The technology sector, particularly companies involved in big data analytics, AI, and machine learning, is a leading adopter of NoSQL databases. NoSQL databases are widely used by tech companies to store and analyze unstructured data from social media, mobile apps, and IoT devices. E-commerce companies also heavily rely on NoSQL databases for managing customer data, product catalogs, and real-time transaction data. NoSQL’s scalability and flexibility make it an ideal solution for high-traffic e-commerce platforms that require fast, reliable data management.

The financial services industry is another major adopter of NoSQL databases, using them for fraud detection, real-time analytics, and customer data management. Healthcare providers are increasingly turning to NoSQL for managing electronic health records (EHRs), patient data, and medical imaging. The gaming industry, too, leverages NoSQL databases to manage in-game data, player interactions, and real-time analytics for personalized experiences.

What Are the Key Growth Drivers in the NoSQL Database Market?

The growth in the NoSQL database market is driven by the increasing demand for big data and real-time analytics applications. As companies generate and collect more unstructured data from IoT devices, social media, and mobile applications, NoSQL databases offer the scalability and flexibility needed to store and manage these diverse datasets. Another key driver is the rise of cloud computing, where NoSQL databases provide a cost-effective and scalable solution for managing data in dynamic, high-traffic environments.

The growing adoption of AI and machine learning applications is also fueling demand for NoSQL databases, as these systems require fast and flexible data management to process large datasets in real time. Additionally, the shift toward microservices and distributed architectures in software development is boosting the need for NoSQL databases, which can support the decentralized and horizontally scalable nature of modern applications. As businesses increasingly prioritize speed, scalability, and flexibility in data management, NoSQL databases are becoming a critical tool for driving innovation and growth.

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TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

III. MARKET ANALYSIS

IV. COMPETITION

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