![]() |
½ÃÀ庸°í¼
»óǰÄÚµå
1403539
¼¼°è SoI(System of Insight) ½ÃÀå ¿¹Ãø(-2030³â) : ÄÄÆ÷³ÍÆ®º°, Àü°³ ¸ðµåº°, ¿ëµµº°, ÃÖÁ¾ »ç¿ëÀÚº°, Áö¿ªº° ºÐ¼®System of Insight Market Forecasts to 2030 - Global Analysis By Component (Services and Solutions), Deployment Mode, Application, End User and By Geographyc |
Stratistics MRC¿¡ µû¸£¸é ¼¼°èÀÇ SoI(System of Insight) ½ÃÀåÀº 2023³â¿¡ 28¾ï 5,000¸¸ ´Þ·¯¸¦ Â÷ÁöÇß°í, ¿¹Ãø ±â°£ Áß CAGRÀº 24.2%·Î ¼ºÀåÇϰí, 2030³â¿¡´Â 130¾ï 1,000¸¸ ´Þ·¯¿¡ À̸¦ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.
ÀλçÀÌÆ® ½Ã½ºÅÛÀº ±âÁ¸ÀÇ ±â·Ï ½Ã½ºÅÛ°ú °ü¿© ½Ã½ºÅÛÀÇ µ¥ÀÌÅÍ ¼Ò½º¸¦ °áÇÕÇÏ¿© µ¥ÀÌÅÍ ¼Òºñ, ¼öÁý, ºÐ¼®, °í°´ °æÇèÀ» Áö¿øÇϰí Çâ»ó½ÃŰ´Â ±â¼úÀ» ¸»ÇÕ´Ï´Ù. ÀλçÀÌÆ® ½Ã½ºÅÛÀº Çൿ Áß½ÉÀÇ ÀλçÀÌÆ®·ÂÀ» Ȱ¿ëÇÏ¿© °³ÀÎȸ¦ Áï½Ã ¹èÆ÷Çϱâ À§ÇØ ¼ÒºñÀÚ¿ÍÀÇ »óÈ£ ÀÛ¿ë µ¥ÀÌÅ͸¦ ÀÛ¼ºÇÒ ¶§ Á¤±³ÇÑ ºÐ¼®À» ¿î¿µ ¼³Á¤¿¡ Àû¿ëÇÕ´Ï´Ù.
Seagate Technology PLC¿¡ µû¸£¸é ¼¼°è¿¡¼ »ý¼ºµÇ´Â µ¥ÀÌÅÍÀÇ ¾çÀº 2015³â 12Á¦Å¸¹ÙÀÌÆ®¿¡¼ 2020³â 47Á¦Å¸¹ÙÀÌÆ®, 2025³â 163Á¦Å¸¹ÙÀÌÆ®·Î Áõ°¡ÇÒ Àü¸ÁÀÔ´Ï´Ù.
»ý¼ºµÇ´Â µ¥ÀÌÅÍÀÇ ¾çÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ´ë±Ô¸ðÀÇ ´Ù¾çÇÑ µ¥ÀÌÅÍ ¼¼Æ®¸¦ ½Å¼ÓÇÏ°Ô Ã³¸®ÇÏ°í ºÐ¼®ÇÒ ¼ö ÀÖ´Â È®Àå °¡´ÉÇÑ ÀλçÀÌÆ® ½Ã½ºÅÛÀÌ ÇÊ¿äÇÕ´Ï´Ù. Áõ°¡ÇÏ´Â µ¥ÀÌÅÍ ¾çÀ» °ü¸®Çϱâ À§ÇØ ÀÌ ¿ä±¸ »çÇ×Àº È®Àå °¡´ÉÇÑ ¾ÆÅ°ÅØÃ³, Ŭ¶ó¿ìµå ±â¹Ý ¼ºñ½º ¹× ºÐ»ê ÄÄÇ»ÆÃ ¸ðµ¨ ±¸ÃàÀ» µÞ¹ÞħÇÕ´Ï´Ù. µ¥ÀÌÅÍ °ü¸® ½Ã½ºÅÛÀº ¼Ò¼È ¹Ìµð¾î, IoT ÀåÄ¡, ¼¾¼ µî ¿©·¯ ä³ÎÀÇ ºñÁ¤ÇüÈ ¹× ±¸Á¶ÈµÈ µ¥ÀÌÅ͸¦ Æ÷ÇÔÇÑ µ¥ÀÌÅÍ ¼Ò½ºÀÇ º¹À⼺ÀÇ °á°ú·Î ÁøÈÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ´Ù¾çÇÑ µ¥ÀÌÅÍ È¯°æÀ» È¿À²ÀûÀ¸·Î °ü¸®Çϱâ À§ÇØ SOI Á¦°ø¾÷ü´Â µ¥ÀÌÅÍ ÅëÇÕ, µ¥ÀÌÅÍ Ç°Áú °ü¸® ¹× µ¥ÀÌÅÍ °Å¹ö³Í½º ¼Ö·ç¼ÇÀ» °³¼±Çϱâ À§ÇØ ³ë·ÂÇϰí ÀÖ½À´Ï´Ù.
¸¹Àº Á¦ÇÑÀ¸·Î ÀÎÇØ ±â¾÷ÀÌ SOI ¼Ö·ç¼ÇÀ» µµÀÔÇϰųª Ȱ¿ëÇϱ⠾î·Á¿öÁö¸é ½ÃÀåÀÇ Àü¹ÝÀûÀÎ È®´ë°¡ µÐ鵃 ¼ö ÀÖ½À´Ï´Ù. äÅ÷üÀÌ ³·À¸¸é ƯÁ¤ ±â¼úÀÌ ±×´ÙÁö À¯¿ëÇÏÁö ¾Ê°Å³ª ÇʼöÀûÀÌÁö ¾Ê´Ù´Â »ý°¢¿¡ ¿µÇâÀ» ¹Þ°í ½ÃÀå ¼ºÀåÀ» ¹æÇØÇÒ ¼ö ÀÖ½À´Ï´Ù. SOI ¼Ö·ç¼ÇÀÌ ÃæºÐÈ÷ »ç¿ëµÇÁö ¾Ê±â ¶§¹®¿¡ ºñÈ¿À²ÀûÀÎ ÀÚ¿ø ¹èºÐÀÌ ¹ß»ýÇÒ ¼ö ÀÖ½À´Ï´Ù. ±â¾÷Àº SOI ½Ã½ºÅÛÀ» ±¸¸ÅÇϰí À¯ÁöÇÏ´Â µ¥ ¸¹Àº ºñ¿ëÀ» ¼ÒºñÇÒ ¼ö ÀÖÁö¸¸, µµÀÔÀÌ ºÒÃæºÐÇϱ⠶§¹®¿¡ ÅõÀÚ¸¦ ÃÖ´ëÇÑ È°¿ëÇÒ ¼ö ¾øÀ¸¸ç ºñ¿ëÀ» ³¶ºñÇÒ ¼ö ÀÖ½À´Ï´Ù.
System of Insight Ç÷§ÆûÀº ÀΰøÁö´É(AI)°ú °í±Þ ºÐ¼®À» ÅëÇØ ´ë±Ô¸ðÀÇ º¹ÀâÇÑ Á¤º¸¸¦ º¸´Ù ½Å¼ÓÇÏ°Ô Ã³¸®, ºÐ¼® ¹× ÀλçÀÌÆ®·ÂÀ» Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ ÀÚ¿¬¾î ó¸®(NLP), ¿¹Ãø ºÐ¼®, ÀÌ»ó ŽÁö, µö·¯´× µîÀÇ ±â´ÉÀ» »ç¿ëÇÏ¿© º¸´Ù ±íÀÌ ÀÖ´Â ÀλçÀÌÆ®·Â ÀÖ´Â µ¥ÀÌÅÍ ºÐ¼®ÀÌ °¡´ÉÇÕ´Ï´Ù. µû¶ó¼ ºÐ¼®°ú AI ±â¼úÀÇ ±Þ¼ÓÇÑ È®´ë·Î SOI ¼Ö·ç¼ÇÀÇ Áö¼ÓÀûÀÎ Çõ½ÅÀÌ ¿ä±¸µÇ°í ÀÖ½À´Ï´Ù. ½ÃÀå °æÀï·ÂÀ» À¯ÁöÇϱâ À§ÇØ °ø±ÞÀÚ´Â Ãֽе¿ÇâÀ» ¹Ý¿µÇÏ´Â ½Ã½ºÅÛÀ¸·Î ¾÷µ¥ÀÌÆ®ÇØ¾ß ÇÕ´Ï´Ù.
AI, µ¥ÀÌÅÍ ºÐ¼®, SOI ±â¼ú¿¡ Àͼ÷ÇÑ ÀÚ°ÝÀÌ ºÎÁ·ÇÏ¸é ±â¾÷ÀÌ SOI ½Ã½ºÅÛÀ» ¼º°øÀûÀ¸·Î ¹èÆ÷ÇϱⰡ ´õ ¾î·Á¿öÁú ¼ö ÀÖ½À´Ï´Ù. °æÇè ºÎÁ·À¸·Î ÀÎÇØ ±â¾÷ÀÌ ÀÌ·¯ÇÑ ±â¼úÀ» È¿À²ÀûÀ¸·Î µµÀÔÇÏ°í »ç¿ëÇϱⰡ ¾î·Á¿ï ¼ö ÀÖ½À´Ï´Ù. À¯´ÉÇÑ Á÷¿øÀÌ ¾øÀ¸¸é ±â¾÷Àº SOI ½Ã½ºÅÛÀ» ±¸ÀÔÇÏ´õ¶óµµ ÅõÀÚ¸¦ ÃÖ´ëÇÑ È°¿ëÇϱⰡ ¾î·Æ½À´Ï´Ù. ÀÌ ºñÈ¿À²¼ºÀº ÀÚ¿øÀ» ³¶ºñÇÏ°í ½ÃÀå ¼ºÀåÀ» ¹æÇØÇÏ´Â ±â¼úÀ» ÃæºÐÈ÷ Ȱ¿ëÇÏÁö ¾Ê¾Æ ÅõÀÚ ¼öÀÍ·ü¿¡ ¿µÇâÀ» ÁÙ ¼ö ÀÖ½À´Ï´Ù.
Àü¿°º´ÀÇ À¯ÇàÀº ±â¾÷ ÀüüÀÇ µðÁöÅÐ º¯È¯À» ´õ¿í ±ä±ÞÇÏ°Ô ¸¸µé¾ú½À´Ï´Ù. ±â¾÷Àº °í°´ÀÇ ÃëÇâ º¯È, °ø±Þ¸Á Áß´Ü, ¿ø°ÝÁö °í¿ë µî¿¡ ½Å¼ÓÇÏ°Ô ´ëÀÀÇØ¾ß ÇÕ´Ï´Ù. ±× °á°ú, µ¥ÀÌÅÍ ÁÖµµÀÇ ¼±ÅÃÀ» ½Å¼ÓÇϰí È¿°úÀûÀ¸·Î ÇàÇϱâ À§Çؼ SOI ¼Ö·ç¼ÇÀ» ÀÌ¿ëÇÏ´Â °ÍÀÌ Áß¿äÇÏ°Ô µÇ¾ú½À´Ï´Ù. ¶ÇÇÑ Àü¿°º´ÀÇ À¯Çà¿¡ µû¶ó ºñÁî´Ï½º ¿ì¼±¼øÀ§°¡ ¹Ù²î°í SOI ÀÌ¿ë »ç·Ê°¡ º¯°æµÇ¾ú½À´Ï´Ù. ÇコÄÉ¾î µ¥ÀÌÅÍ °ü¸®, °ø±Þ¸Á °³¼±, ¿Â¶óÀÎ ¼îÇÎ ºÕ¿¡ ´ëÀÀÇϱâ À§ÇØ ÀüÀÚ»ó°Å·¡, ¹°·ù, ÇコÄÉ¾î µî ¾÷°è¿¡¼ SOI ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çß½À´Ï´Ù.
°í°´ ºÐ¼® ºÎ¹®Àº À¯¸®ÇÑ ¼ºÀåÀ» ¿¹»óÇÕ´Ï´Ù. ¿Ö³ÄÇÏ¸é °³º° ¼ÒºñÀÚ ±×·ìÀ̳ª Æä¸£¼Ò³ª¸¦ ¹ß°ßÇϱâ À§ÇØ ÀÌ ¿¬±¸´Â Çൿ, ¼±È£, ±¸¸Å ½À°ü ¹× ±âŸ ÀûÀýÇÑ Æ¯¼ºÀ» ¹ÙÅÁÀ¸·Î °í°´À» ¼¼ºÐÈÇÏ´Â µ¥ µµ¿òÀÌ µÇ±â ¶§¹®ÀÔ´Ï´Ù. ºÒ¸¸À» °¡¸®Å°´Â Çൿ ÆÐÅÏÀ» ¹ß°ßÇÔÀ¸·Î½á °í°´ ºÐ¼®À» »ç¿ëÇÏ´Â SOI Ç÷§ÆûÀº ÇØÁö ¹× °í°´ °¨¼Ò °¡´É¼ºÀ» ¿¹ÃøÇÒ ¼ö ÀÖ½À´Ï´Ù. À̸¦ ÅëÇØ Àû±ØÀûÀÎ °í°´ À¯Áö ¹æ¹ýÀÌ °¡´ÉÇØÁö°í ±â¾÷Àº Áß¿äÇÑ °í°´À» À¯ÁöÇϱâ À§ÇØ ¼±¼ö¸¦ Ä¡°í ½ÃÀå ¼ºÀåÀ» µÞ¹ÞħÇÕ´Ï´Ù.
¼Ò¸Å ¹× ÀüÀÚ»ó°Å·¡ ºÐ¾ß´Â ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº CAGR ¼ºÀåÀÌ ¿¹»óµË´Ï´Ù. ÀÌ´Â ÀüÀÚ»ó°Å·¡ ½ÃÀåÀÇ È®´ë¿Í ¼ÒºñÀÚ Á¦Ç° ¼ö¿ä Áõ°¡·Î ¼Ò¸Å ¾÷°èÀÇ ¸ÅÃâÀÌ Å©°Ô ´Ã¾î³ª°í Àֱ⠶§¹®ÀÔ´Ï´Ù. ºòµ¥ÀÌÅÍ ¼Ö·ç¼ÇÀ» Ȱ¿ëÇϸé ÀÌ ºÐ¾ß¿¡¼ µ¥ÀÌÅͰ¡ »ý¼ºµË´Ï´Ù. °Ô´Ù°¡ ¾÷°è °æÀïÀÌ Ä¡¿ÇØÁö¸é¼ Âü°¡ ±â¾÷Àº °ø±Þ ÇÁ·Î¼¼½º Àü¹Ý¿¡ °ÉÃÄ È¿°úÀûÀÎ ¿î¿µÀ» º¸ÀåÇÒ Çʿ䰡 ÀÖ½À´Ï´Ù. ´Ù¾çÇÑ ¸¶ÄÏÇ÷¹À̽º¿Í ¼ÒºñÀÚ¿ÍÀÇ Á¢Á¡À¸·ÎºÎÅÍ ¾òÀº ´ë·®ÀÇ ½Ç½Ã°£ ±¸Á¶È¡¤ºñ±¸Á¶È µ¥ÀÌÅÍ´Â ¿¹ÃøÀû¡¤Ã³¹æÀû ¾Ö³Î¸®Æ½½º¿¡ ÀÇÇØ Ȱ¿ëµÇ¾î ÃÖÀûÀÇ Æ®·¹À̵塤ÇÁ·Î¸ð¼ÇÀ» °ü¸®Çϱâ À§ÇÑ À¯ÀÍÇÑ Á¦¾È¿¡ ¹Ù²Ü ¼ö ÀÖ½À´Ï´Ù.
Àεµ ¿µ¼¼ Áß¼Ò±â¾÷¼ºÀÌ ÃÖ±Ù ¹ßÇ¥ÇÑ µ¥ÀÌÅÍ¿¡ ÀÇÇϸé, Àεµ¿¡´Â 5,000¸¸»çÀÇ MSME°¡ Á¸ÀçÇØ, ¼¼°è ÃÖ´ëÀÇ MSMEÀÇ Çϳª·Î ²ÅÈ÷°í ÀÖ½À´Ï´Ù. ÀÌ Áö¿ªÀº »ó´çÇÑ ¾çÀÇ »óǰ°ú ¼ºñ½º¸¦ ¼öÃâÇϰí ÀÖ½À´Ï´Ù. ÀÌ Áö¿ª¿¡¼´Â BFSI »ê¾÷µµ È®´ëµÇ°í ÀÖ½À´Ï´Ù. µû¶ó¼ ÀÌ·¯ÇÑ »ê¾÷ÀÌ ¹ßÀüÇÏ¸é ½ºÆ®¸®¹Ö ºÐ¼® »ê¾÷µµ ¹ßÀüÇÒ °ÍÀ¸·Î º¸ÀÔ´Ï´Ù. ¼¼°è ÃÖ´ë »óÀå¼ÕÇØº¸Çèȸ»çÀÎ Chubb´Â Áß¼Ò±â¾÷(SME)ÀÇ ¸®½ºÅ© °ü¸® ¿ä°Ç¿¡ ´ëÀÀÇϱâ À§ÇØ ¾Æ½Ã¾ÆÅÂÆò¾ç¿¡ ¼Ò±Ô¸ð »ó¾÷ ºÎ¹®À» °³¼³Çß½À´Ï´Ù.
ºÏ¹ÌÀÇ ±â¼ú ȯ°æÀº °ß°íÇϸç Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ, ¾Ö³Î¸®Æ½½º, ÀΰøÁö´É ¹× µ¥ÀÌÅÍ °ü¸®¿¡¼ ¶Ñ·ÇÇÑ ¹ßÀüÀ» º¸À̱⠶§¹®¿¡ ¿¹Ãø ±â°£ µ¿¾È ¿¬Æò±Õ º¹ÇÕ ¼ºÀå·ü(CAGR)Àº ºÏ¹Ì°¡ °¡Àå ³ôÀ» °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ·¯ÇÑ °³¹ßÀº º¹ÀâÇÑ SOI ½Ã½ºÅÛÀÇ »ý¼º°ú »ç¿ëÀ» Áö¿øÇÕ´Ï´Ù. µ¥ÀÌÅÍ º¸¾È ¹× ±ÔÁ¤ Áؼö´Â CCPA ¹× GDPR°ú °°Àº ¾ö°ÝÇÑ µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ±ÔÄ¢À¸·Î ÀÎÇØ ºÏ¹Ì ±â¾÷ÀÇ ÃÖ¿ì¼± °úÁ¦ÀÔ´Ï´Ù. °·ÂÇÑ º¸¾È Á¶Ä¡´Â µ¥ÀÌÅÍ º¸È£ ¹× ±ÔÁ¤ Áؼö¸¦ º¸ÀåÇÏ°í ±â¾÷ÀÇ ½Å·Ú¸¦ ³ôÀ̱â À§ÇØ ÀÌ ºÐ¾ßÀÇ SOI Á¦°ø¾÷ü°¡ °Á¶ÇÕ´Ï´Ù.
According to Stratistics MRC, the Global System of Insight Market is accounted for $2.85 billion in 2023 and is expected to reach $13.01 billion by 2030 growing at a CAGR of 24.2% during the forecast period. The term "systems of insight" describes technology that uses a combination of traditional "systems of record" and "systems of engagement" data sources for data consumption, collecting, and analysis in order to support and enhance the customer experience. Systems of insight apply sophisticated analytics to operational settings at the point where they create consumer interaction data for instantaneous deployment of personalization by utilizing behaviour-driven insights.
According to Seagate Technology PLC, the volume of data created worldwide is expected to increase to 47 zettabytes and 163 zettabytes in 2020 and 2025, respectively, from 12 zettabytes in 2015.
Scalable systems of insight systems that can quickly handle and analyze big, varied datasets are necessary in light of the increasing amounts of data being generated. In order to manage the increasing volume of data, this requirement drives the creation of scalable architectures, cloud-based services, and distributed computing models. Data management systems are evolving as a result of the complexity of data sources, including unstructured and structured data, from several channels like social media, IoT devices, sensors, etc. In order to efficiently manage this varied data landscape, SOI providers innovate to offer improved data integration, data quality management, and data governance solutions.
The total expansion of the market may be slowed down when businesses encounter difficulties implementing or underutilize SOI solutions as a result of many limitations. Low adoption rates might influence the idea that certain technologies are less useful or essential, which would hinder the market's growth. Ineffective resource allocation might arise from underusing SOI solutions. Businesses may spend a lot of money on purchasing and maintaining SOI systems, but because of poor implementation, they may not get the most out of their investments, wasting money.
System of Insight platforms can process, analyze, and extract insights from large and complex information more quickly thanks to artificial intelligence (AI) and sophisticated analytics. This enables deeper and more insightful data analysis using features including natural language processing (NLP), predictive analytics, anomaly detection, and deep learning. Thus, continuous innovation in SOI solutions is required due to the rapid expansion of analytics and AI technology. To remain competitive in the market, providers need to update their systems to reflect the most recent developments.
The lack of qualified personnel with expertise in AI, data analytics, and SOI technologies may make it more difficult for enterprises to successfully deploy SOI systems. Lack of experience may make it difficult for businesses to implement and use these technologies efficiently. Without competent staff, organizations may purchase SOI systems but find it difficult to get the most out of their investments. This inefficiency can affect the return on investment by wasting resources and underutilizing technologies hampering the growth of the market.
The epidemic made digital transformation across businesses more urgent. Businesses have to quickly adjust to shifting customer preferences, supply chain interruptions, and remote employment. As a result, there is now more emphasis on using SOI solutions to quickly and effectively make data-driven choices. Furthermore, business priorities changed as a result of the epidemic, which changed the use cases for SOI. In order to manage healthcare data, improve supply chains, and handle the boom in online shopping, industries including e-commerce, logistics, and healthcare saw an increase in demand for SOI solutions.
The customer analytics segment is estimated to have a lucrative growth, because in order to discover separate consumer groups or personas, this study assists in segmenting customers based on behaviour, preferences, buying habits, and other pertinent characteristics. By spotting behavioural patterns that point to discontent, SOI platforms using customer analytics may forecast possible churn or client attrition. This makes proactive retention methods possible, enabling companies to take preemptive action to hold onto key clients boosting the growth of the market.
The retail & ecommerce segment is anticipated to witness the highest CAGR growth during the forecast period, because of the sales in the retail industry are growing significantly as a result of the expanding e-commerce market and the growing demand for consumer products. The use of big data solutions has resulted in the generation of data inside the sector. Moreover, heightened industry rivalry has compelled participants to guarantee effective operation throughout the supply process. Large volumes of real-time structured and unstructured data from various marketplaces and consumer touchpoints may be tapped into by predictive and prescriptive analytics, which can then turn it into useful suggestions for managing the best trade promotions.
Asia Pacific is projected to hold the largest market share during the forecast period as the Indian Ministry of Micro, Small, and Medium Enterprises recently released data showing that the country has 50 million MSMEs, ranking it among the largest MSMEs globally. The area exports a significant amount of goods and services. In the area, the BFSI industry is also expanding. Thus, as these industries develop so will the streaming analytics industry. The largest publicly listed property and casualty insurance company in the world, Chubb, has opened a small commercial section in Asia Pacific specifically to serve small and medium-sized businesses' (SMEs') risk management requirements which drives the growth of the market in this region.
North America is projected to have the highest CAGR over the forecast period, owing to the technology environment in North America is strong, with notable developments in cloud computing, analytics, artificial intelligence, and data management. These developments support the creation and use of complex SOI systems. Data security and compliance are top priorities for firms in North America due to strict data privacy rules such as the CCPA and GDPR. Strong security measures are emphasized by SOI providers in this area to guarantee data protection and regulatory compliance, increasing company confidence.
Some of the key players profiled in the System of Insight Market include Oracle, TIBCO Software, Plutora, Signals Analytics, Correleta, Radicalbit, IBM, Striim, NGDATA, GoodData, SAP, SAS Institute, Splunk Inc., INETCO Systems Limited, Panorama Software, Capgemini, Accenture, Genpact, KPMG International Cooperative and Wipro Limited
In August 2023, Oracle announced Oracle Compute Cloud@Customer, a rack-scale cloud infrastructure that enables organizations to use Oracle Cloud Infrastructure (OCI) compute services anywhere.
In July 2023, Oracle announced the general availability of MySQL HeatWave Lakehouse, delivering an industry first by enabling customers to query data in object storage as fast as querying data inside the database.
In June 2023, Cloud Software Group announced a strategic partnership with Midis Group through its subsidiary MiCloudSW Ltd., in its journey to better serve its channel and customers in most of Eastern Europe, the Middle East, and Africa.