µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® º¸°í¼ : ±¸¼º¿ä¼Òº°, À¯Çüº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº°, ºÎ¹®º° ¿¹Ãø(2024-2030³â)
Data Exfiltration Market Size, Share & Trends Analysis Report By Component (Solution, Services), By Type, By End-use (BFSI, Healthcare), By Region, And Segment Forecasts, 2024 - 2030
»óǰÄÚµå
:
1530247
¸®¼Ä¡»ç
:
Grand View Research, Inc.
¹ßÇàÀÏ
:
2024³â 07¿ù
ÆäÀÌÁö Á¤º¸
:
¿µ¹® 150 Pages
¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
¤± 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.
µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ±Ô¸ð ¹× ½ÃÀå Á¡À¯À²
¼¼°è µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ±Ô¸ð´Â 2023³â 662¾ï 9,000¸¸ ´Þ·¯·Î 2024³âºÎÅÍ 2030³â±îÁö ¿¬Æò±Õ 14.7% ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ½ÃÀåÀº ÃÖ±Ù ¸î ³â µ¿¾È µîÀåÇÑ ¸î °¡Áö Áß¿äÇÑ ¿äÀο¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù. »çÀ̹ö º¸¾È À§ÇùÀÇ ºóµµ¿Í ±³¹¦ÇÔÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ±â¾÷Àº µ¥ÀÌÅÍ Ä§ÇØ¿¡ ´ëÇÑ ¹æ¾î¸¦ °ÈÇØ¾ß ÇÕ´Ï´Ù. µ¿½Ã¿¡ µ¥ÀÌÅÍ ÀÚ»êÀÇ °¡Ä¡°¡ ³ô¾ÆÁü¿¡ µû¶ó µ¥ÀÌÅÍ ÀÚ»êÀº »çÀ̹ö ¹üÁËÀÚµéÀÇ Ç¥ÀûÀÌ µÇ°í ÀÖÀ¸¸ç, ÀÌ¿¡ µû¶ó °·ÂÇÑ º¸È£ ´ëÃ¥ÀÇ Çʿ伺ÀÌ ´õ¿í Ä¿Áö°í ÀÖ½À´Ï´Ù.
¸®¸ðÆ® ¿öÅ© ¸ðµ¨°ú Ŭ¶ó¿ìµå ¼ºñ½ºÀÇ È®»êÀ¸·Î °ø°Ý ´ë»óÀÌ È®´ëµÇ°í, ¾ÇÀÇÀûÀÎ ÇàÀ§ÀÚ°¡ ¾Ç¿ëÇÒ ¼ö ÀÖ´Â »õ·Î¿î Ãë¾àÁ¡ÀÌ »ý°Ü³ª°í ÀÖ½À´Ï´Ù. ¶ÇÇÑ, µ¥ÀÌÅÍ º¸È£¹ýÀÇ °È¿Í ÄÄÇöóÀ̾𽺠À§¹Ý¿¡ ´ëÇÑ ¾ö°ÝÇÑ Ã³¹ú µî ±ÔÁ¦ ȯ°æÀÇ º¯È·Î ÀÎÇØ ±â¾÷µéÀº µ¥ÀÌÅÍ º¸¾È ¹× À¯Ãâ ¹æÁö µµ±¸¿¡ ¸¹Àº ÅõÀÚ¸¦ Çϰí ÀÖ½À´Ï´Ù.
°ø°ÝÀÚ¿Í ¹æ¾îÀÚ °£ÀÇ Áö¼ÓÀûÀÎ ÀüÅõ¸¦ ¹Ý¿µÇÏ¿© ¸î °¡Áö Æ®·»µå°¡ µ¥ÀÌÅÍ À¯Ãâ »óȲÀ» Çü¼ºÇϰí ÀÖ½À´Ï´Ù. ÀΰøÁö´É°ú ¸Ó½Å·¯´×Àº ¾çÃøÀÌ ¸ðµÎ Ȱ¿ëÇϰí ÀÖÀ¸¸ç, °ø°ÝÀÚ´Â ÀÌ·¯ÇÑ ±â¼úÀ» Ȱ¿ëÇÏ¿© º¸´Ù Á¤±³ÇÑ À¯Ãâ ¹æ¹ýÀ» °³¹ßÇϰí, ¹æ¾îÀÚ´Â ÀÌ·¯ÇÑ ±â¼úÀ» Ȱ¿ëÇÏ¿© ÀÌ·¯ÇÑ ½Ãµµ¸¦ ŽÁöÇÏ°í ¹æÁöÇϰí ÀÖ½À´Ï´Ù. ³»ºÎ À§Çù¿¡ ´ëÇÑ °ü½ÉÀÌ ³ô¾ÆÁö¸é¼ »ç¿ëÀÚ Çൿ ºÐ¼®°ú Ư±Ç ¾×¼¼½º °ü¸®¿¡ ´ëÇÑ Á߿伺ÀÌ ´õ¿í °Á¶µÇ°í ÀÖ½À´Ï´Ù. ¾ÏÈ£ÈµÈ µ¥ÀÌÅÍ À¯ÃâÀÌ Áõ°¡Çϰí ÀÖÀ¸¸ç, °ø°ÝÀÚµéÀº ¾Ïȣȸ¦ »ç¿ëÇÏ¿© °ÑÀ¸·Î º¸±â¿¡ ¹«ÇØÇÑ Æ®·¡ÇÈ¿¡ ÈÉÄ£ µ¥ÀÌÅ͸¦ ¼û±â°í Àֱ⠶§¹®¿¡ ´õ¿í Á¤±³ÇÑ Æ®·¡ÇÈ ºÐ¼® µµ±¸ÀÇ °³¹ßÀÌ ¿ä±¸µÇ°í ÀÖ½À´Ï´Ù. ¼Ò¼È ¿£Áö´Ï¾î¸µ ¼ö¹ýµµ Á¡Á¡ ´õ Á¤±³ÇØÁö°í ÀÖÀ¸¸ç, »çÀ̹ö ¹üÁËÀÚµéÀº Á¤±³ÇÑ ÇÇ½Ì °ø°Ý°ú ºñÁî´Ï½º À̸ÞÀÏ À¯Ãâ °èȹÀ» ÅëÇØ Á÷¿øµéÀ» Á¶Á¾Çϰí ÀÖ½À´Ï´Ù.
Á¶Á÷ÀÌ ±âÁ¸ÀÇ °æ°è ±â¹Ý º¸¾È ¸ðµ¨¿¡¼ ¹þ¾î³ª¸é¼ Á¦·Î Æ®·¯½ºÆ® ¾ÆÅ°ÅØÃ³ÀÇ Ã¤ÅÃÀÌ °¡¼Óȵǰí ÀÖ½À´Ï´Ù. ÀÌ Á¢±Ù ¹æ½ÄÀº ±âº»ÀûÀ¸·Î ¸ðµç »ç¿ëÀÚ³ª ½Ã½ºÅÛÀ» ½Å·ÚÇÒ ¼ö ¾ø´Ù°í °¡Á¤ÇÏ°í ¸ðµç µ¥ÀÌÅÍ ¾×¼¼½º¿¡ ´ëÇØ Áö¼ÓÀûÀÎ ÀÎÁõ°ú ½ÂÀÎÀ» ¿ä±¸ÇÔÀ¸·Î½á µ¥ÀÌÅÍ À¯ÃâÀ» ¹æÁöÇÏ´Â µ¥ µµ¿òÀÌ µË´Ï´Ù. »ç¹°ÀÎÅͳÝ(IoT) ±â±âÀÇ º¸±ÞÀº °ø°ÝÀÚ°¡ º¸¾ÈÀÌ Ãë¾àÇÑ ±â±âÀÇ Ãë¾àÁ¡À» ¾Ç¿ëÇÏ´Â »õ·Î¿î µ¥ÀÌÅÍ À¯Ãâ °æ·Î¸¦ ¸¸µé¾î³»°í ÀÖ½À´Ï´Ù. ·£¼¶¿þ¾î °ø°ÝÀº µ¥ÀÌÅÍ À¯Ãâ°ú °áÇյǴ °æ¿ì°¡ Áõ°¡Çϰí ÀÖÀ¸¸ç, °ø°ÝÀÚ´Â ¸ö°ªÀ» ÁöºÒÇÏÁö ¾ÊÀ¸¸é µ¥ÀÌÅͰ¡ À¯ÃâµÉ °ÍÀ̶ó°í ÇÇÇØÀÚ¸¦ Çù¹ÚÇÒ ¼ö ÀÖ½À´Ï´Ù. ¸¶Áö¸·À¸·Î, »çÀ̹ö ¹üÁËÀÚµéÀÌ °ø±Þ¸ÁÀÇ Ãë¾àÁ¡À» ³ë·Á ¿©·¯ Á¶Á÷ÀÇ µ¥ÀÌÅÍ¿¡ Á¢±ÙÇÏ´Â °ø±Þ¸Á °ø°ÝÀÌ È®»êµÇ°í ÀÖÀ¸¸ç, ÀÌ´Â µ¥ÀÌÅÍ À¯ÃâÀ» ¹æÁöÇÏ´Â µ¥ ÀÖ¾î Á¦3ÀÚ À§Çè °ü¸®¿Í ¾ÈÀüÇÑ ¼ÒÇÁÆ®¿þ¾î °ø±Þ¸ÁÀÇ Á߿伺ÀÌ °Á¶µÇ°í ÀÖ½À´Ï´Ù.
µ¥ÀÌÅÍ À¯Ãâ ¼¼°è ½ÃÀå º¸°í¼ ºÐ·ù
ÀÌ º¸°í¼´Â 2018³âºÎÅÍ 2030³â±îÁö ¼¼°è, Áö¿ª ¹× ±¹°¡º° ¼öÀÍ ¼ºÀåÀ» ¿¹ÃøÇÏ°í °¢ ÇÏÀ§ ºÎ¹®ÀÇ ÃֽŠ»ê¾÷ µ¿Ç⠺м®À» Á¦°øÇÕ´Ï´Ù. ÀÌ Á¶»ç¿¡¼ Grand View Research´Â ¼¼°è µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå º¸°í¼¸¦ ±¸¼º¿ä¼Ò, À¯Çü, ÃÖÁ¾ ¿ëµµ ¹× Áö¿ª¿¡ µû¶ó ¼¼ºÐÈÇß½À´Ï´Ù.
- ±¸¼º¿ä¼Òº° Àü¸Á(¸ÅÃâ¾×, 2018-2030³â)
- ¼Ö·ç¼Ç
- ¼ºñ½º
- À¯Çüº° Àü¸Á(¸ÅÃâ¾×, 2018-2030³â)
- Ȱ¼º µ¥ÀÌÅÍ À¯Ãâ
- ¼öµ¿Àû µ¥ÀÌÅÍ À¯Ãâ
- ÃÖÁ¾ ¿ëµµº° Àü¸Á(¸ÅÃâ¾×, 2018-2030³â)
- BFSI
- Á¤ºÎ ¹× ±¹¹æ
- ¼Ò¸Å ¹× E-Commerce
- IT ¹× Åë½Å
- °Ç°°ü¸®
- ±âŸ
- Áö¿ªº° Àü¸Á(¸ÅÃâ¾×, USD Million, 2018-2030)
- ºÏ¹Ì
¹Ì±¹
ij³ª´Ù
¸ß½ÃÄÚ
µ¶ÀÏ
¿µ±¹
ÇÁ¶û½º
Áß±¹
ÀϺ»
Àεµ
Çѱ¹
È£ÁÖ
ºê¶óÁú
»ç¿ìµð¾Æ¶óºñ¾Æ
¾Æ¶ø¿¡¹Ì¸®Æ®
³²¾ÆÇÁ¸®Ä«°øÈ±¹
¸ñÂ÷
Á¦1Àå Á¶»ç ¹æ¹ý°ú ¹üÀ§
Á¦2Àå ÁÖ¿ä ¿ä¾à
Á¦3Àå µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå º¯¼ö, µ¿Çâ, ¹üÀ§
- ½ÃÀå °èÅë Àü¸Á
- ½ÃÀå ¿ªÇÐ
- ½ÃÀå ¼ºÀå ÃËÁø¿äÀÎ ºÐ¼®
- ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ ºÐ¼®
- ¾÷°è °úÁ¦
- µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ºÐ¼® Åø
- ¾÷°è ºÐ¼® - Porter's Five Forces ºÐ¼®
- PESTEL ºÐ¼®
Á¦4Àå µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : ±¸¼º¿ä¼Ò ÃßÁ¤¡¤µ¿Ç⠺м®
- ºÎ¹® ´ë½Ãº¸µå
- µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : ±¸¼º¿ä¼Ò º¯µ¿ ºÐ¼®, 2023³â°ú 2030³â
- ¼Ö·ç¼Ç
- ¼ºñ½º
Á¦5Àå µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : À¯Çü ÃßÁ¤¡¤µ¿Ç⠺м®
- ºÎ¹® ´ë½Ãº¸µå
- µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : À¯Çü º¯µ¿ ºÐ¼®, 2023³â ¹× 2030³â
- ¾×Ƽºê µ¥ÀÌÅÍ À¯Ãâ
- ¼öµ¿ÀûÀÎ µ¥ÀÌÅÍ À¯Ãâ
Á¦6Àå µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : ÃÖÁ¾ ¿ëµµ ÃßÁ¤¡¤µ¿Ç⠺м®
- ºÎ¹® ´ë½Ãº¸µå
- µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : ÃÖÁ¾ ¿ëµµ º¯µ¿ ºÐ¼®, 2023³â ¹× 2030³â
- BFSI
- Á¤ºÎ¿Í ¹æÀ§
- ¼Ò¸Å¾÷°ú E-Commerce
- IT ¹× Åë½Å
- ÇコÄɾî
- ±âŸ
Á¦7Àå µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå : Áö¿ª ÃßÁ¤¡¤µ¿Ç⠺м®
- µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå Á¡À¯À², Áö¿ªº°, 2023³â ¹× 2030³â
- ºÏ¹Ì
- ºÏ¹ÌÀÇ µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ÃßÁ¤°ú ¿¹Ãø, 2018-2030³â
- ¹Ì±¹
- ij³ª´Ù
- ¸ß½ÃÄÚ
- À¯·´
- À¯·´ÀÇ µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ÃßÁ¤°ú ¿¹Ãø, 2018-2030³â
- ¿µ±¹
- µ¶ÀÏ
- ÇÁ¶û½º
- ¾Æ½Ã¾ÆÅÂÆò¾ç
- ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ÃßÁ¤°ú ¿¹Ãø, 2018-2030³â
- Áß±¹
- ÀϺ»
- Àεµ
- Çѱ¹
- È£ÁÖ
- ¶óƾ¾Æ¸Þ¸®Ä«
- ¶óƾ¾Æ¸Þ¸®Ä«ÀÇ µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ÃßÁ¤°ú ¿¹Ãø, 2018-2030³â
- ºê¶óÁú
- Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
- Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«ÀÇ µ¥ÀÌÅÍ À¯Ãâ ½ÃÀå ÃßÁ¤°ú ¿¹Ãø, 2018-2030³â
- ³²¾ÆÇÁ¸®Ä«°øÈ±¹
- »ç¿ìµð¾Æ¶óºñ¾Æ
- ¾Æ¶ø¿¡¹Ì¸®Æ®
Á¦8Àå °æÀï »óȲ
- ±â¾÷ ºÐ·ù
- ±â¾÷ÀÇ ½ÃÀå Æ÷Áö¼Å´×
- ÁøÃâ ±â¾÷ °³¿ä
- À繫 ½ÇÀû
- Á¦Ç° º¥Ä¡¸¶Å©
- ±â¾÷ È÷Æ®¸Ê ºÐ¼®
- Àü·« ¸ÅÇÎ
- ±â¾÷ °³¿ä/»óÀå ±â¾÷
- Broadcom Inc.
- Crowdstrike Holdings, Inc.
- McAfee, LLC
- Cisco Systems Inc.
- Trend Micro Inc.
- GTB Technologies
- Palo Alto Networks,
- Fortinet Inc.
- Zscaler Inc.
- Check Point Software Technologies
- Juniper Networks
- Forcepoint
ksm
¿µ¹® ¸ñÂ÷
Data Exfiltration Market Size & Share
The global data exfiltration market size was valued at USD 66.29 billion in 2023 and is estimated grow at a CAGR of 14.7% from 2024 to 2030. The market is being driven by several key factors that have emerged in recent years. The increasing frequency and sophistication of cybersecurity threats have compelled organizations to bolster their defenses against data breaches. Simultaneously, the growing value of data assets has made them prime targets for cybercriminals, further fueling the need for robust protection measures.
The widespread adoption of remote work models and cloud services has expanded the attack surface, creating new vulnerabilities that malicious actors can exploit. Additionally, the evolving regulatory landscape, with stricter data protection laws and severe penalties for non-compliance, has pushed companies to invest heavily in data security and exfiltration prevention tools.
Several trends are shaping the data exfiltration landscape, reflecting the ongoing battle between attackers and defenders. Artificial intelligence and machine learning are being leveraged by both sides: attackers use these technologies to develop more sophisticated exfiltration methods, while defenders employ them to detect and prevent such attempts. There's an increasing focus on insider threats, leading to a greater emphasis on user behavior analytics and privileged access management. Encrypted data exfiltration is on the rise, with attackers using encryption to hide stolen data within seemingly innocent traffic, prompting the development of more advanced traffic analysis tools. Social engineering tactics have also become more refined, with cybercriminals manipulating employees through advanced phishing attacks and business email compromise schemes.
The adoption of Zero Trust Architecture is gaining momentum as organizations move away from traditional perimeter-based security models. This approach, which assumes no user or system is trustworthy by default, helps prevent data exfiltration by requiring continuous authentication and authorization for all data access. The proliferation of Internet of Things (IoT) devices has created new vectors for data exfiltration, with attackers exploiting vulnerabilities in these often less-secure devices. Ransomware attacks are increasingly being combined with data exfiltration, allowing attackers to threaten victims with data exposure if ransom demands are not met. Lastly, supply chain attacks have become more prevalent, with cybercriminals targeting vulnerabilities in the supply chain to gain access to multiple organizations' data, emphasizing the critical importance of third-party risk management and secure software supply chains in preventing data exfiltration.
Global Data Exfiltration Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global data exfiltration market report based on component, type, end use, and region.
- By Component Outlook (Revenue, USD Million, 2018 - 2030)
- Solution
- Services
- By Type Outlook (Revenue, USD Million, 2018 - 2030)
- Active Data Exfiltration
- Passive Data Exfiltration
- By End Use Outlook (Revenue, USD Million, 2018 - 2030)
- BFSI
- Government & Defense
- Retail & Ecommerce
- IT & Telecommunication
- Healthcare
- Others
- Regional Outlook (Revenue, USD Million, 2018 - 2030)
- North America
U.S.
Canada
Mexico
Germany
UK
France
China
Japan
India
South Korea
Australia
Brazil
- Middle East and Africa (MEA)
Kingdom of Saudi Arabia
UAE
South Africa
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Research Methodology
- 1.2.1. Information Procurement
- 1.3. Information or Data Analysis
- 1.4. Methodology
- 1.5. Research Scope and Assumptions
- 1.6. Market Formulation & Validation
- 1.7. Country Based Segment Share Calculation
- 1.8. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. Data Exfiltration Market Variables, Trends, & Scope
- 3.1. Market Lineage Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Industry Challenge
- 3.3. Data Exfiltration Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Bargaining power of the suppliers
- 3.3.1.2. Bargaining power of the buyers
- 3.3.1.3. Threats of substitution
- 3.3.1.4. Threats from new entrants
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic and Social landscape
- 3.3.2.3. Technological landscape
- 3.3.2.4. Environmental Landscape
- 3.3.2.5. Legal Landscape
Chapter 4. Data Exfiltration Market: Component Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Data Exfiltration Market: Component Movement Analysis, 2023 & 2030 (USD Million)
- 4.3. Solution
- 4.3.1. Solution in Data Exfiltration Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 4.4. Services
- 4.4.1. Services in Data Exfiltration Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 5. Data Exfiltration Market: Type Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Data Exfiltration Market: Type Movement Analysis, 2023 & 2030 (USD Million)
- 5.3. Active Data Exfiltration
- 5.3.1. Active Data Exfiltration Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 5.4. Passive Data Exfiltration
- 5.4.1. Passive Data Exfiltration Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 6. Data Exfiltration Market: End Use Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. Data Exfiltration Market: End Use Movement Analysis, 2023 & 2030 (USD Million)
- 6.3. BFSI
- 6.3.1. BFSI Application Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.4. Government & Defense
- 6.4.1. Government & Defense Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.5. Retail & Ecommerce
- 6.5.1. Retail & Ecommerce market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.6. IT & Telecommunication
- 6.6.1. IT & Telecommunication System Application Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.7. Healthcare
- 6.7.1. Healthcare Application Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
- 6.8. Others
- 6.8.1. Other Applications Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 7. Data Exfiltration Market: Regional Estimates & Trend Analysis
- 7.1. Data Exfiltration Market Share, By Region, 2023 & 2030 (USD Million)
- 7.2. North America
- 7.2.1. North America Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.2. U.S.
- 7.2.2.1. U.S. Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.3. Canada
- 7.2.3.1. Canada Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.2.4. Mexico
- 7.2.4.1. Mexico Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3. Europe
- 7.3.1. Europe Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.2. UK
- 7.3.2.1. UK Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.3. Germany
- 7.3.3.1. Germany Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.3.4. France
- 7.3.4.1. France Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4. Asia Pacific
- 7.4.1. Asia Pacific Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.2. China
- 7.4.2.1. China Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.3. Japan
- 7.4.3.1. Japan Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.4. India
- 7.4.4.1. India Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.5. South Korea
- 7.4.5.1. South Korea Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.4.6. Australia
- 7.4.6.1. Australia Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5. Latin America
- 7.5.1. Latin America Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.5.2. Brazil
- 7.5.2.1. Brazil Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6. Middle East and Africa
- 7.6.1. Middle East and Africa Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.2. South Africa
- 7.6.2.1. South Africa Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.3. Saudi Arabia
- 7.6.3.1. Saudi Arabia Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
- 7.6.4. UAE
- 7.6.4.1. UAE Data Exfiltration Market Estimates and Forecasts, 2018 - 2030 (USD Million)
Chapter 8. Competitive Landscape
- 8.1. Company Categorization
- 8.2. Company Market Positioning
- 8.3. Participant's Overview
- 8.4. Financial Performance
- 8.5. Product Benchmarking
- 8.6. Company Heat Map Analysis
- 8.7. Strategy Mapping
- 8.8. Company Profiles/Listing
- 8.8.1. Broadcom Inc.
- 8.8.1.1. Company Overview
- 8.8.1.2. Product Offerings
- 8.8.1.3. Financial Performance
- 8.8.1.4. Strategic Developments
- 8.8.2. Crowdstrike Holdings, Inc.
- 8.8.2.1. Company Overview
- 8.8.2.2. Product Offerings
- 8.8.2.3. Financial Performance
- 8.8.2.4. Strategic Developments
- 8.8.3. McAfee, LLC
- 8.8.3.1. Company Overview
- 8.8.3.2. Product Offerings
- 8.8.3.3. Financial Performance
- 8.8.3.4. Strategic Developments
- 8.8.4. Cisco Systems Inc.
- 8.8.4.1. Company Overview
- 8.8.4.2. Product Offerings
- 8.8.4.3. Financial Performance
- 8.8.4.4. Strategic Developments
- 8.8.5. Trend Micro Inc.
- 8.8.5.1. Company Overview
- 8.8.5.2. Product Offerings
- 8.8.5.3. Financial Performance
- 8.8.5.4. Strategic Developments
- 8.8.6. GTB Technologies
- 8.8.6.1. Company Overview
- 8.8.6.2. Product Offerings
- 8.8.6.3. Financial Performance
- 8.8.6.4. Strategic Developments
- 8.8.7. Palo Alto Networks,
- 8.8.7.1. Company Overview
- 8.8.7.2. Product Offerings
- 8.8.7.3. Financial Performance
- 8.8.7.4. Strategic Developments
- 8.8.8. Fortinet Inc.
- 8.8.8.1. Company Overview
- 8.8.8.2. Product Offerings
- 8.8.8.3. Financial Performance
- 8.8.8.4. Strategic Developments
- 8.8.9. Zscaler Inc.
- 8.8.9.1. Company Overview
- 8.8.9.2. Product Offerings
- 8.8.9.3. Financial Performance
- 8.8.9.4. Strategic Developments
- 8.8.10. Check Point Software Technologies
- 8.8.10.1. Company Overview
- 8.8.10.2. Product Offerings
- 8.8.10.3. Financial Performance
- 8.8.10.4. Strategic Developments
- 8.8.11. Juniper Networks
- 8.8.11.1. Company Overview
- 8.8.11.2. Product Offerings
- 8.8.11.3. Financial Performance
- 8.8.11.4. Strategic Developments
- 8.8.12. Forcepoint
- 8.8.12.1. Company Overview
- 8.8.12.2. Product Offerings
- 8.8.12.3. Financial Performance
- 8.8.12.4. Strategic Developments
°ü·ÃÀÚ·á