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DAAS(Data As A Service) ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® ¸®Æ÷Æ® : µµÀÔº°, ±â¾÷ ±Ô¸ðº°, ÃÖÁ¾ ¿ëµµº°, Áö¿ªº°, ºÎ¹®º° ¿¹Ãø(2024-2030³â)

Data As A Service Market Size, Share & Trends Analysis Report By Deployment (Public, Private), By Enterprise Size (Large Size Organization, Small & Medium Size Organizations), By End Use, By Region, And Segment Forecasts, 2024 - 2030

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Grand View Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 150 Pages | ¹è¼Û¾È³» : 2-10ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




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DAAS(Data As A Service) ½ÃÀåÀÇ ¼ºÀå°ú µ¿Çâ :

Grand View Research, Inc.ÀÇ ÃֽЏ®Æ÷Æ®¿¡ µû¸£¸é ¼¼°èÀÇ DAAS(Data As A Service) ½ÃÀå ±Ô¸ð´Â 2030³â±îÁö 768¾ï ´Þ·¯¿¡ ´ÞÇϸç, 2024-2030³âÀÇ CAGRÀº 28.1%·Î ¼ºÀåÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ°í ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ±â¹Ý DaaSÀÇ Ã¤Åà Áõ°¡°¡ ÀÌ ½ÃÀåÀÇ ÁÖ¿ä Æ®·»µå°¡ µÇ°í ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå ¹èÆ÷´Â ¼­ºñ½ºÇü µ¥ÀÌÅÍ(DaaS)¸¦ Á¦°øÇÏ´Â °¡Àå È¿°úÀûÀÎ Àü·«À¸·Î ºÎ»óÇϰí ÀÖÀ¸¸ç, ÃÖÁ¾»ç¿ëÀÚÀÇ ¿ä±¸»çÇ׿¡ µû¶ó µ¥ÀÌÅÍ ÇÁ·ÎºñÀú´×À» °¡´ÉÇÏ°Ô ÇÕ´Ï´Ù. ÀÌ ¸ðµ¨Àº È®À强, À¯¿¬¼º, ºñ¿ë È¿À²¼º Ãø¸é¿¡¼­ Å« ÀÌÁ¡À» Á¦°øÇÔÀ¸·Î½á ¸ðµç ±Ô¸ðÀÇ ±â¾÷¿¡°Ô ¸Å·ÂÀûÀÎ ¼±ÅÃÀÌ µÇ°í ÀÖ½À´Ï´Ù. ¿¹Ãø ±â°£ Áß Å¬¶ó¿ìµå ¹èÆ÷´Â ½ÃÀå ¼ºÀåÀ» Å©°Ô °ßÀÎÇÏ°í °ø±ÞÀÚ¿¡°Ô »õ·Î¿î ±âȸ¸¦ Á¦°øÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù. ´õ ¸¹Àº ±â¾÷ÀÌ µ¥ÀÌÅÍ ¹× ºÐ¼® ¿î¿µÀ» Ŭ¶ó¿ìµå·Î ÀüȯÇÔ¿¡ µû¶ó Ŭ¶ó¿ìµå ±â¹Ý DaaS ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡ÇÏ¿© ½ÃÀå È®´ë°¡ ´õ¿í °¡¼ÓÈ­µÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

ÆÛºí¸¯ Ŭ¶ó¿ìµå DaaS ¾÷°è´Â °æÀïÀÌ Ä¡¿­Çϸç, ¾Æ¸¶Á¸ À¥ ¼­ºñ½º(AWS), ¸¶ÀÌÅ©·Î¼ÒÇÁÆ® ¾ÖÀú(Microsoft Azure), ±¸±Û Ŭ¶ó¿ìµå Ç÷§Æû(Google Cloud Platform)°ú °°Àº ´ë±â¾÷ÀÌ µ¶Á¡Çϰí ÀÖ½À´Ï´Ù. À̵é ÁÖ¿ä ±â¾÷Àº µ¥ÀÌÅÍ ½ºÅ丮Áö, ºÐ¼® ¹× ó¸® ±â´ÉÀ» Æ÷°ýÇÏ´Â ±¤¹üÀ§ÇÑ DaaS ¼Ö·ç¼ÇÀ» Á¦°øÇÏ¿© ´Ù¾çÇÑ »ê¾÷ ºÐ¾ßÀÇ Á¶Á÷ÀÇ ´Ù¾çÇÑ ¿ä±¸»çÇ×À» ÃæÁ·½Ã۰í ÀÖ½À´Ï´Ù. ºü¸£°Ô ÁøÈ­ÇÏ´Â ½ÃÀå¿¡¼­ °æÀï·ÂÀ» À¯ÁöÇϱâ À§ÇØ ÆÛºí¸¯ Ŭ¶ó¿ìµå DaaS ÇÁ·Î¹ÙÀÌ´õµéÀº Çõ½ÅÀ» ¿ì¼±½ÃÇϰí, Ź¿ùÇÑ ¼­ºñ½º¸¦ Á¦°øÇϸç, º¯È­ÇÏ´Â °í°´ ¿ä±¸¿¡ ºÎÀÀÇÒ ¼ö ÀÖµµ·Ï Áö¼ÓÀûÀ¸·Î Á¦Ç° Á¦°øÀ» °³¼±Çϰí ÀÖ½À´Ï´Ù.

ºÏ¹Ì¿¡¼­´Â Ȱ¹ßÇÑ ±â¼ú »ýŰè¿Í ¾÷°è Àü¹Ý¿¡¼­ µ¥ÀÌÅͺ£À̽º ÀÇ»ç°áÁ¤ÀÇ Á߿伺ÀÌ ³ô¾ÆÁü¿¡ µû¶ó DaaSÀÇ ¼ºÀå°ú º¸±ÞÀÌ È°¹ßÇÏ°Ô ÀÌ·ç¾îÁö°í ÀÖ½À´Ï´Ù. ºÏ¹Ì ±â¾÷Àº µ¥ÀÌÅÍ °ü¸® ÇÁ·Î¼¼½º¸¦ °£¼ÒÈ­Çϰí, ½ÇÇà °¡´ÉÇÑ ÀλçÀÌÆ®À» È®º¸Çϸç, Çõ½ÅÀ» ÃËÁøÇϱâ À§ÇØ DaaS ¼Ö·ç¼ÇÀÇ È°¿ëÀ» °¡¼ÓÈ­Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â Ŭ¶ó¿ìµå ÄÄÇ»ÆÃ ÀÎÇÁ¶óÀÇ È®»ê, ÀΰøÁö´É ¹× ¸Ó½Å·¯´× ±â¼úÀÇ ¹ßÀü, È®À强°ú ºñ¿ë È¿À²¼ºÀÌ ¶Ù¾î³­ µ¥ÀÌÅÍ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡ µîÀÇ ¿äÀÎÀ¸·Î ÀÎÇØ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ºÏ¹Ì ±â¾÷ÀÌ µðÁöÅÐ ÀüȯÀ» ÃÖ¿ì¼± °úÁ¦·Î »ï°í ÀÖ´Â °¡¿îµ¥, DaaS´Â ÀÌ Áö¿ªÀÇ ºñÁî´Ï½º ¹Îø¼º, °æÀï·Â, ¼º°øÀ» ÃËÁøÇÏ´Â µ¥ ÀÖÀ¸¸ç, ¸Å¿ì Áß¿äÇÑ ¿ªÇÒÀ» ÇÒ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

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  • °ø°ø ¹èÆ÷ ºÎ¹®ÀÌ 2023³â ¼¼°è ¸ÅÃâÀÇ 39.37%¸¦ Â÷ÁöÇÏ¸ç ½ÃÀåÀ» ÁÖµµÇϰí ÀÖÀ¸¸ç, DaaS´Â °ø°ø ºÎ¹®¿¡¼­ ÀαⰡ ±Þ»ó½ÂÇϰí ÀÖ½À´Ï´Ù. Á¤ºÎ´Â ÀÇ»ç °áÁ¤À» °³¼±Çϰí, ¼­ºñ½º Á¦°øÀ» °­È­Çϰí, ½Ã¹ÎÀÇ ¿ä±¸¿¡ ´ëÇÑ ±íÀº ÀλçÀÌÆ®À» ¾ò±â À§ÇØ ¿ÜºÎ µ¥ÀÌÅÍ ¼Ò½º¸¦ Ȱ¿ëÇÏ´Â °ÍÀÇ °¡Ä¡¸¦ Á¡Á¡ ´õ ¸¹ÀÌ ÀνÄÇϰí ÀÖ½À´Ï´Ù.
  • ¾Æ½Ã¾ÆÅÂÆò¾ç¿¡¼­´Â ±â¾÷ÀÌ ¿ÜºÎ µ¥ÀÌÅÍ Àü¹® Áö½Ä°ú ¸®¼Ò½º¸¦ Ȱ¿ëÇÏ´Â °ÍÀÇ °¡Ä¡¸¦ ÀνÄÇÔ¿¡ µû¶ó DaaS Æ®·»µå°¡ ºü¸£°Ô ¼ºÀåÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â ÀÌ Áö¿ªÀÇ ¿ªµ¿ÀûÀÎ µðÁöÅРȯ°æÀ¸·Î ÀÎÇØ ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖÀ¸¸ç, ±â¾÷Àº Áõ°¡ÇÏ´Â µ¥ÀÌÅ͸¦ °ü¸®Çϰí À̸¦ ÅëÇØ ÀλçÀÌÆ®À» ¾ò±â À§ÇØ È®À强°ú ºñ¿ë È¿À²ÀûÀÎ ¼Ö·ç¼ÇÀ» ã°í ÀÖ½À´Ï´Ù.
  • ºÏ¹Ì°¡ 2023³â 35.3%ÀÇ Á¡À¯À²·Î ½ÃÀåÀ» ÁÖµµÇϰí ÀÖ½À´Ï´Ù. ºÏ¹Ì¿¡¼­´Â ÇコÄɾî, ±ÝÀ¶, E-Commerce µî ƯÁ¤ »ê¾÷ ¹× ÀÌ¿ë »ç·Ê¿¡ ƯȭµÈ DaaS ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ Ãß¼¼´Â ÀÌ Áö¿ªÀÇ ´Ù¾çÇÑ ºñÁî´Ï½º ȯ°æ°ú °¢ ºÎ¹®ÀÌ Á÷¸éÇÑ °íÀ¯ÇÑ µ¥ÀÌÅÍ °ü¸® ¹®Á¦¸¦ ÀνÄÇϰí, ±ÔÁ¦ Áؼö, º¸¾È ¿ä±¸ »çÇ×, ºÐ¼® ¿ä±¸ »çÇ×À» ÃæÁ·ÇÏ´Â »ê¾÷º° ¸ÂÃãÇü Á¦Ç°À» °³¹ßÇÔÀ¸·Î½á DaaS ÇÁ·Î¹ÙÀÌ´õµéÀÌ ÀÌ¿¡ ´ëÀÀÇϰí ÀÖÀ½À» ¹Ý¿µÇÑ´Ù, Ÿ±ê »ê¾÷¿¡¼­ ´õ ¸¹Àº äÅðú Çõ½ÅÀ» ÃËÁøÇϰí ÀÖ½À´Ï´Ù.

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Á¦3Àå DAAS(Data As A Service) ½ÃÀå º¯¼ö, µ¿Çâ, ¹üÀ§

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  • DAAS(Data As A Service) ½ÃÀå ºÐ¼® Åø
    • ¾÷°è ºÐ¼® - Porter's Five Forces ºÐ¼®
    • PESTEL ºÐ¼®

Á¦4Àå µ¥ÀÌÅÍ ¼­ºñ½º ½ÃÀå : µµÀÔ ÃßÁ¤¡¤µ¿Ç⠺м®

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  • DAAS(Data As A Service) ½ÃÀå : µµÀÔ º¯µ¿ ºÐ¼®, 2022³â ¹× 2030³â
  • °ø°ø
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  • DAAS(Data As A Service) ½ÃÀå : ±â¾÷ ±Ô¸ð º¯µ¿ ºÐ¼®, 2022³â ¹× 2030³â
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Á¦6Àå DAAS(Data As A Service) ½ÃÀå : ÃÖÁ¾ ¿ëµµ ÃßÁ¤¡¤µ¿Ç⠺м®

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  • DAAS(Data As A Service) ½ÃÀå : ÃÖÁ¾ ¿ëµµ º¯µ¿ ºÐ¼®, 2022³â ¹× 2030³â
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Á¦7Àå DAAS(Data As A Service) ½ÃÀå : Áö¿ª ÃßÁ¤¡¤µ¿Ç⠺м®

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    • Bloomberg LP
    • Crunchbase Inc.
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    • IBM
    • Meta Platforms Inc.
    • Nielsen Holdings NV
    • Oracle Corporation
    • SAP SE
    • Salesforce, Inc.
    • ZoomInfo Technologies Inc.
KSA 24.07.17

Data As A Service Market Growth & Trends:

The global data as a service market size is expected to reach USD 76.80 billion by 2030, growing at a CAGR of 28.1% from 2024 to 2030, according to a new report by Grand View Research, Inc. The rising adoption of cloud-based DaaS is a key trend in the market. Cloud deployment has emerged as the most effective strategy for delivering data as a service (DaaS), enabling data provisioning according to end-user requirements. This model offers significant advantages in scalability, flexibility, and cost-efficiency, making it an appealing choice for businesses of all sizes. Over the forecast period, cloud deployment is anticipated to substantially drive the growth of the market, creating new opportunities for providers. As more organizations transition their data and analytics operations to the cloud, the demand for cloud based DaaS solutions is expected to increase, further propelling market expansion.

The public cloud DaaS industry is intensely competitive, dominated by leading companies such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. These key players provide extensive DaaS solutions encompassing data storage, analytics, and processing capabilities, tailored to the diverse requirements of organizations across multiple industries. To maintain their competitive edge in this rapidly evolving market, public cloud DaaS providers are prioritizing innovation, delivering exceptional services, and consistently improving their product offerings to meet the changing needs of their customers.

In North America, the trend of DaaS is characterized by robust growth and adoption, driven by the region's thriving technology ecosystem and the increasing importance of data-driven decision-making across industries. North American businesses are increasingly leveraging DaaS solutions to streamline data management processes, gain actionable insights, and drive innovation. This trend is fueled by factors such as the proliferation of cloud computing infrastructure, advancements in artificial intelligence and machine learning technologies, and the rising demand for scalable and cost-effective data solutions. As organizations in North America continue to prioritize digital transformation initiatives, DaaS is expected to play a pivotal role in driving business agility, competitiveness, and success in the region.

Data As A Service Market Report Highlights:

  • DaaS solutions are primarily delivered through cloud-based platforms, allowing businesses to access and utilize data on-demand without the need for extensive hardware or software investments. The scalability and cost-effectiveness of cloud-based DaaS solutions have made them an attractive option for organizations, particularly small and medium-sized enterprises (SMEs) with limited resources.
  • The public deployment segment led the market and accounted for 39.37% of the global revenue in 2023. DaaS is experiencing a surge in popularity within the public sector. Governments are increasingly recognizing the value of leveraging external data sources to improve decision-making, enhance service delivery, and gain deeper insights into citizen needs.
  • In the Asia-Pacific region, the trend of DaaS is rapidly gaining momentum as businesses recognize the value of leveraging external data expertise and resources. This trend is driven by the region's dynamic digital landscape, with companies seeking scalable and cost-effective solutions to manage and derive insights from their growing volumes of data.
  • North America dominated the market and accounted for a 35.3% share in 2023. North America is witnessing increasing demand for specialized DaaS solutions tailored to specific industries or use cases, such as healthcare, finance, and e-commerce. This trend reflects the region's diverse business landscape and the recognition of the unique data management challenges faced by different sectors. DaaS providers are responding by developing industry-specific offerings that address regulatory compliance, security requirements, and analytical needs, driving further adoption and innovation within targeted verticals.

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 as a Service 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 as a Service Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's Five Forces
      • 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

Chapter 4. Data as a Service market: Deployment Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Data as a Service market: Deployment Movement Analysis, 2022 & 2030 (USD Million)
  • 4.3. Public
    • 4.3.1. Public Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Private
    • 4.4.1. Private Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.5. Hybrid
    • 4.5.1. Hybrid Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Data as a Service market: Enterprise Size Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Data as a Service market: Enterprise Size Movement Analysis, 2022 & 2030 (USD Million)
  • 5.3. Large Size Organization
    • 5.3.1. Large Size Organization Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Small & Medium Size Organizations
    • 5.4.1. Small & Medium Size Organizations Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Data as a Service market: End Use Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Data as a Service market: End Use Movement Analysis, 2022 & 2030 (USD Million)
  • 6.3. BFSI
    • 6.3.1. BFSI Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. IT and Telecommunications
    • 6.4.1. IT and Telecommunications Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Government
    • 6.5.1. Government Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.6. Retail & e-commerce
    • 6.6.1. Retail & e-commerce Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.7. Healthcare
    • 6.7.1. Healthcare Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.8. Other
    • 6.8.1. Other Data as a Service Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Data as a Service market: Regional Estimates & Trend Analysis

  • 7.1. Data as a Service Market Share, By Region, 2022 & 2030, USD Million
  • 7.2. North America
    • 7.2.1. North America Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.2.3. Canada
      • 7.2.3.1. Canada Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
  • 7.3. Europe
    • 7.3.1. Europe Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.3.2. U.K.
      • 7.3.2.1. U.K. Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.3.3. Germany
      • 7.3.3.1. Germany Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.3.4. France
      • 7.3.4.1. France Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.4.2. China
      • 7.4.2.1. China Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.4.3. Japan
      • 7.4.3.1. Japan Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.4.4. India
      • 7.4.4.1. India Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.4.5. South Korea
      • 7.4.5.1. South Korea Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.4.6. Australia
      • 7.4.6.1. Australia Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
  • 7.5. Latin America
    • 7.5.1. Latin America Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.6.2. UAE
      • 7.6.2.1. UAE Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.6.3. KSA
      • 7.6.3.1. KSA Data as a Service Market Estimates and Forecasts, 2017 - 2030 (USD MILLION)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa Data as a Service Market Estimates and Forecasts, 2017 - 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. Amazon.com Inc.
    • 8.8.2. Bloomberg L.P.
    • 8.8.3. Crunchbase Inc.
    • 8.8.4. Google LLC
    • 8.8.5. IBM
    • 8.8.6. Meta Platforms Inc.
    • 8.8.7. Nielsen Holdings N.V.
    • 8.8.8. Oracle Corporation
    • 8.8.9. SAP SE
    • 8.8.10. Salesforce, Inc.
    • 8.8.11. ZoomInfo Technologies Inc.
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