½ÃÀ庸°í¼­
»óǰÄÚµå
1762396

¼¼°èÀÇ DWaaS(Data Warehouse as a Service) ½ÃÀå, ±Ô¸ð, Á¡À¯À², µ¿Çâ, »ê¾÷ ºÐ¼® º¸°í¼­ : »ç¿ëº°, Àü°³ Çüź°, ¿ëµµº°, ¾÷°èº°, Áö¿ªº° - ½ÃÀå ¿¹Ãø(2025-2034³â)

Data Warehouse as a Service Market Size, Share, Trends, Industry Analysis Report: By Usage (Data Mining, Reporting, and Analytics), By Deployment, By Application, By Vertical, and By Region - Market Forecast, 2025-2034

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: Polaris Market Research | ÆäÀÌÁö Á¤º¸: ¿µ¹® 120 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    



¡Ø º» »óǰÀº ¿µ¹® ÀÚ·á·Î Çѱ۰ú ¿µ¹® ¸ñÂ÷¿¡ ºÒÀÏÄ¡ÇÏ´Â ³»¿ëÀÌ ÀÖÀ» °æ¿ì ¿µ¹®À» ¿ì¼±ÇÕ´Ï´Ù. Á¤È®ÇÑ °ËÅ並 À§ÇØ ¿µ¹® ¸ñÂ÷¸¦ Âü°íÇØÁֽñ⠹ٶø´Ï´Ù.

Polaris Market ResearchÀÇ ÃֽŠÁ¶»ç¿¡ µû¸£¸é, DWaaS(Data Warehouse as a Service) ¼¼°è ½ÃÀå ±Ô¸ð´Â 2034³â±îÁö 640¾ï 5,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÀÌ º¸°í¼­´Â ÇöÀç ½ÃÀå ¿ªÇп¡ ´ëÇÑ »ó¼¼ÇÑ ÅëÂû·Â°ú ÇâÈÄ ½ÃÀå ¼ºÀå¿¡ ´ëÇÑ ºÐ¼®À» Á¦°øÇÕ´Ï´Ù.

¼­ºñ½ºÇü µ¥ÀÌÅÍ¿þ¾îÇϿ콺(DWaaS, Data Warehouse as a Service) ½ÃÀåÀº È®Àå °¡´ÉÇÏ°í ºñ¿ë È¿À²ÀûÀ̸ç À¯¿¬ÇÑ µ¥ÀÌÅÍ ½ºÅ丮Áö ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡¿¡ ÈûÀÔ¾î °ßÁ¶ÇÑ ¼ºÀå¼¼¸¦ º¸À̰í ÀÖ½À´Ï´Ù. ±â¾÷µéÀÌ ±âÁ¸ On-Premise ÀÎÇÁ¶ó¿¡¼­ Ŭ¶ó¿ìµå ±â¹Ý ½Ã½ºÅÛÀ¸·Î ÀüȯÇϸ鼭 ¹æ´ëÇÑ ¾çÀÇ µ¥ÀÌÅ͸¦ º¸´Ù È¿°úÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖ´Â ¹æ¹ýÀ» ¸ð»öÇϰí ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ º¯È­´Â ºòµ¥ÀÌÅÍ ºÐ¼®, ¸Ó½Å·¯´×, ÀΰøÁö´É(AI)À» Ȱ¿ëÇÑ ÅëÂû·ÂÀ» ÅëÇØ ÀÇ»ç°áÁ¤À» °­È­ÇÏ°í ¾÷¹« È¿À²¼ºÀ» Çâ»ó½ÃŰ´Â ºòµ¥ÀÌÅÍ ºÐ¼®¿¡ ´ëÇÑ ¿ä±¸°¡ Áõ°¡ÇÔ¿¡ µû¶ó ´õ¿í °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ½Ç½Ã°£ µ¥ÀÌÅÍ Ã³¸® ±â´ÉÀº Á¡Á¡ ´õ Áß¿äÇØÁö°í ÀÖÀ¸¸ç, ±â¾÷µéÀº ¿øÈ°ÇÑ µ¥ÀÌÅÍ °ü¸®¿Í ó¸® ´É·Â °­È­¸¦ À§ÇØ DWaaS¸¦ µµÀÔÇϰí ÀÖ½À´Ï´Ù.

DWaaS »ê¾÷ È®ÀåÀÇ ÇÙ½É ¿ä¼Ò´Â ¶Ù¾î³­ È®À强, ¿î¿µ ºñ¿ë Àý°¨, Çâ»óµÈ ÀçÇØº¹±¸ ¿É¼ÇÀ» Á¦°øÇϴ Ŭ¶ó¿ìµå ±â¹Ý ÀÎÇÁ¶ó·ÎÀÇ Áö¼ÓÀûÀÎ ÀüȯÀÔ´Ï´Ù. Adani GroupÀÌ Àεµ µ¥ÀÌÅͼ¾ÅÍ¿¡ ¹ÌÈ­ 1,000¾ï ´Þ·¯¸¦ ÅõÀÚÇÏ´Â µî ¹Î°£ ºÎ¹®ÀÇ ÅõÀÚ´Â ¾÷°èÀÇ ¼ºÀå¼¼¸¦ ¹Ý¿µÇϰí ÀÖ½À´Ï´Ù. ¾÷°èÀÇ ¸ð¸àÅÒÀ» ¹Ý¿µÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ÆÛºí¸¯ Ŭ¶ó¿ìµå¿Í ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå¸¦ °áÇÕÇÑ ÇÏÀ̺긮µå Ŭ¶ó¿ìµå ¸ðµ¨¿¡ ´ëÇÑ ¼±È£µµ°¡ ³ô¾ÆÁü¿¡ µû¶ó ±â¾÷Àº µ¥ÀÌÅÍ º¸¾È°ú ÄÄÇöóÀ̾𽺸¦ º¸ÀåÇϸ鼭 ¼º´ÉÀ» ÃÖÀûÈ­ÇÒ ¼ö ÀÖ¾î ±ÝÀ¶, ÀÇ·á, Á¦Á¶ µî »ê¾÷ Àü¹Ý¿¡ °ÉÃÄ DWaaS ¼Ö·ç¼ÇÀÇ µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù. ¼Ö·ç¼Ç µµÀÔÀÌ °¡¼ÓÈ­µÇ°í ÀÖ½À´Ï´Ù.

¼­ºñ½ºÇü µ¥ÀÌÅÍ¿þ¾îÇϿ콺(DWaaS) ½ÃÀå º¸°í¼­ ÇÏÀ̶óÀÌÆ®

¿ëµµº°·Î´Â ºÐ¼® ºÐ¾ß°¡ 2024³â DWaaS ½ÃÀå¿¡¼­ °¡Àå Å« Á¡À¯À²À» Â÷ÁöÇß½À´Ï´Ù. À̴ ƯÈ÷ ±ÝÀ¶ ¹× ¼Ò¸Å¾÷°ú °°Àº »ê¾÷ Àü¹Ý¿¡¼­ ÀÇ»ç°áÁ¤À» À§ÇÑ µ¥ÀÌÅÍ ±â¹Ý ÅëÂû·Â¿¡ ´ëÇÑ ÀÇÁ¸µµ°¡ ³ô¾ÆÁö°í Àֱ⠶§¹®ÀÔ´Ï´Ù.

»ê¾÷º°·Î´Â Â÷·® »ý»ê, ¿¹Áöº¸Àü, IoT ¹× AI ±â¼ú µµÀÔ¿¡ ÀÖ¾î µ¥ÀÌÅÍ ±â¹Ý ÀÇ»ç°áÁ¤¿¡ ´ëÇÑ ¼ö¿ä Áõ°¡·Î ÀÎÇØ Á¦Á¶ ¹× ÀÚµ¿Â÷ ºÐ¾ß°¡ ¿¹Ãø ±â°£ µ¿¾È °¡Àå ºü¸¥ ¼ºÀå¼¼¸¦ º¸ÀÏ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

2024³â ºÏ¹Ì´Â ³ôÀº Ŭ¶ó¿ìµå ¼­ºñ½º äÅ÷ü, µðÁöÅÐ Àüȯ¿¡ ´ëÇÑ ¸·´ëÇÑ ÅõÀÚ, ÁÖ¿ä Ŭ¶ó¿ìµå ¼­ºñ½º Á¦°ø¾÷üÀÇ Á¸Àç·Î ÀÎÇØ ¼¼°è ½ÃÀå ¼öÀÍ¿¡¼­ °¡Àå Å« Á¡À¯À²À» Â÷ÁöÇß½À´Ï´Ù.

¾Æ½Ã¾ÆÅÂÆò¾ç ½ÃÀåÀº ±Þ¼ÓÇÑ µðÁöÅÐÈ­, Ŭ¶ó¿ìµå µµÀÔ Áõ°¡, Àεµ, Áß±¹ µî ½ÅÈï °æÁ¦±ÇÀÇ µ¥ÀÌÅÍ ½ºÅ丮Áö ¼Ö·ç¼Ç ¼ö¿ä Áõ°¡·Î ÀÎÇØ ¿¹Ãø ±â°£ µ¿¾È °¡Àå ³ôÀº ¼ºÀå·üÀ» ³ªÅ¸³¾ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù.

¼¼°è ÁÖ¿ä ½ÃÀå ±â¾÷À¸·Î´Â Actian Corporation,Amazon Web Services(AWS),AtScale,Google(Alphabet),Hortonworks,IBM Corporation,MarkLogic Corporation,Micro Focus,Microsoft Corporation,Netavis GmbH,Oracle Corporation,SAP SE,SAP SE,Snowflake Inc. µîÀÌ ÀÖ½À´Ï´Ù.

¸ñÂ÷

Á¦1Àå °³¿ä¿Í ¹üÀ§

  • Á¶»ç ¸ñÇ¥¿Í ¹üÀ§
  • ½ÃÀå ¹üÀ§

Á¦2Àå Á¶»ç ¹æ¹ý °³¿ä

  • Á¶»ç ¹æ¹ý
  • Á¶»ç ¹üÀ§¿Í ÀüÁ¦
  • ¿ëµµ Á¶´Þ
    • ±¸ÀÔÇÑ µ¥ÀÌÅͺ£À̽º
    • ³»ºÎ µ¥ÀÌÅͺ£À̽º
    • 2Â÷ Á¤º¸
    • Á¦3ÀÚÀÇ °ßÇØ
    • 1Â÷ Á¶»ç
  • ¿ëµµ ºÐ¼®
    • µ¥ÀÌÅÍ ºÐ¼® ¸ðµ¨
  • ½ÃÀå ÀÀ¿ë°ú µ¥ÀÌÅÍ ½Ã°¢È­
  • µ¥ÀÌÅÍ °ËÁõ°ú °ø°³(2Â÷ Á¤º¸)

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå DWaaS(Data Warehouse as a Service) ½ÃÀå ÀλçÀÌÆ®

  • DWaaS(Data Warehouse as a Service)-½ÃÀå ±Ô¸ð¿Í ¼ºÀå Àü¸Á
  • DWaaS(Data Warehouse as a Service) ½ÃÀå ¿ªÇÐ
    • DWaaS(Data Warehouse as a Service) ½ÃÀå ¼ºÀå ÃËÁø¿äÀΰú ±âȸ ºÐ¼®
    • DWaaS(Data Warehouse as a Service) ½ÃÀå ¼ºÀå ¾ïÁ¦¿äÀÎ/°úÁ¦ ºÐ¼®
  • PorterÀÇ Five Forces ºÐ¼®
  • PESTLE ºÐ¼®
  • ÁÖ¿ä »ê¾÷ µ¿Çâ

Á¦5Àå DWaaS(Data Warehouse as a Service) ½ÃÀå Æò°¡ : ¿ëµµº°

  • ¼­·Ð
  • µ¥ÀÌÅÍ ¸¶ÀÌ´×
  • º¸°í
  • ºÐ¼®

Á¦6Àå DWaaS(Data Warehouse as a Service) ½ÃÀå Æò°¡ : Àü°³ Çüź°

  • ¼­·Ð
  • ÇÁ¶óÀ̺ø Ŭ¶ó¿ìµå
  • ÆÛºí¸¯ Ŭ¶ó¿ìµå
  • ÇÏÀ̺긮µå Ŭ¶ó¿ìµå

Á¦7Àå DWaaS(Data Warehouse as a Service) ½ÃÀå Æò°¡ : ¿ëµµº°

  • ¼­·Ð
  • ºÎÁ¤ÇàÀ§ °¨Áö ¹× À§Çù °ü¸®
  • °ø±Þ¸Á °ü¸®
  • ÀÚ»ê¿î¿ë °ü¸®
  • ¸®½ºÅ© ¹× ÄÄÇöóÀ̾𽺠°ü¸®
  • °í°´ ºÐ¼®
  • ±âŸ

Á¦8Àå DWaaS(Data Warehouse as a Service) ½ÃÀå Æò°¡ : ¾÷°èº°

  • ¼­·Ð
  • ÀºÇà, ±ÝÀ¶¼­ºñ½º ¹× º¸Çè(BFSI)
  • ¼Ò¸Å ¹× E-Commerce
  • Åë½Å ¹× IT
  • ÇコÄÉ¾î ¹× »ý¸í°úÇÐ
  • Á¦Á¶¾÷ ¹× ÀÚµ¿Â÷
  • Á¤ºÎ ¹× °ø°ø ºÎ¹®
  • ¿©Çà ¹× È£½ºÇÇÅ»¸®Æ¼
  • ¹Ìµð¾î ¹× ¿£ÅÍÅ×ÀÎ¸ÕÆ®
  • ±âŸ

Á¦9Àå DWaaS(Data Warehouse as a Service) ½ÃÀå Æò°¡ : Áö¿ªº°

  • ¼­·Ð
  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
    • ¸ß½ÃÄÚ
  • À¯·´
    • µ¶ÀÏ
    • ÇÁ¶û½º
    • ÀÌÅ»¸®¾Æ
    • ¿µ±¹
    • ½ºÆäÀÎ
    • ³×´ú¶õµå
    • ·¯½Ã¾Æ
    • ±âŸ À¯·´
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • Áß±¹
    • Àεµ
    • ÀϺ»
    • Àεµ³×½Ã¾Æ
    • Çѱ¹
    • ¸»·¹À̽þÆ
    • ¾Æ½Ã¾ÆÅÂÆò¾ç ±âŸ ±¹°¡
  • ¶óƾ¾Æ¸Þ¸®Ä«
    • ºê¶óÁú
    • ¾Æ¸£ÇîÆ¼³ª
    • ·Î¶óŽ
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • »ç¿ìµð¾Æ¶óºñ¾Æ
    • ³²¾ÆÇÁ¸®Ä«°øÈ­±¹
    • ¾Æ¶ø¿¡¹Ì¸®Æ®(UAE)
    • À̽º¶ó¿¤
    • ±âŸ Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦10Àå °æÀï ±¸µµ

  • Àü°³ °³¹ß°ú ½ÃÀÛÀº ±â¾÷¿¡ °¡Àå ¸¹ÀÌ Ã¤Åõǰí ÀÖ´Â Àü·«
  • Àü°³ °³½Ã
  • Àμö/°è¾à
  • ÆÄÆ®³Ê½Ê ¹× Çù¾÷

Á¦11Àå ±â¾÷ °³¿ä

  • Actian Corporation
  • Amazon Web Services(AWS)
  • AtScale
  • Google(Alphabet)
  • Hortonworks
  • IBM Corporation
  • MarkLogic Corporation
  • Micro Focus
  • Microsoft Corporation
  • Netavis GmbH
  • Oracle Corporation
  • SAP SE
  • Snowflake Inc.
  • Teradata Corporation
  • Veeva Systems Inc.
LSH

The global data warehouse as a service market size is expected to reach USD 64.05 billion by 2034, according to a new study by Polaris Market Research. The report "Data Warehouse as a Service Market Size, Share, Trends, Industry Analysis Report: By Usage (Data Mining, Reporting, and Analytics), By Deployment, By Application, By Vertical, and By Region - Market Forecast, 2025-2034" gives a detailed insight into current market dynamics and provides analysis on future market growth.

The data warehouse as a service (DWaaS) market is witnessing robust growth driven by the increasing demand for scalable, cost-efficient, and flexible data storage solutions. As businesses are shifting from traditional on-premises infrastructure to cloud-based systems, they are seeking more effective ways to manage vast volumes of data. This shift is further fueled by the rising need for big data analytics, machine learning, and AI-powered insights, which enhance decision-making and drive operational efficiency. Real-time data processing capabilities are becoming increasingly critical, prompting organizations to adopt DWaaS for its seamless data management and enhanced processing power.

A significant factor in the DWaaS industry expansion is the continuous move toward cloud-based infrastructure, offering superior scalability, reduced operational costs, and improved disaster recovery options. Leading cloud service providers, such as Amazon Web Services, Google Cloud, and Microsoft Azure, are continuously upgrading their offerings to support the growing need for advanced data management solutions. Investments from the private sectors, such as Adani Group's USD 100 billion commitment to data centers in India, reflect the industry's momentum. Furthermore, the growing preference for hybrid cloud models, combining public and private clouds, allows organizations to optimize performance while ensuring data security and compliance, thereby accelerating the adoption of DWaaS solutions across industries such as finance, healthcare, and manufacturing.

Data Warehouse as a Service Market Report Highlights

In terms of usage, the analytics segment held the largest share of the DWaaS market in 2024 due to the increasing reliance on data-driven insights for decision-making across industries, especially in finance and retail.

Based on vertical, the manufacturing and automotive segment is expected to witness the fastest growth during the forecast period due to the increasing demand for data-driven decision-making in vehicle production, predictive maintenance, and the adoption of IoT and AI technologies.

In 2024, North America accounted for the largest share of the global market revenue, due to its high adoption of cloud services, significant investments in digital transformation, and the presence of major cloud service providers.

The Asia Pacific market is expected to witness the highest growth rate during the forecast period due to rapid digitalization, increasing cloud adoption, and growing demand for data storage solutions from emerging economies such as India and China.

A few of the global key market players are Actian Corporation, Amazon Web Services (AWS), AtScale, Google (Alphabet), Hortonworks, IBM Corporation, MarkLogic Corporation, Micro Focus, Microsoft Corporation, Netavis GmbH, Oracle Corporation, SAP SE, Snowflake Inc., Teradata Corporation, and Veeva Systems Inc.

Polaris Market Research has segmented the DWaaS market report on the basis of usage, deployment, application, vertical, and region:

By Usage Outlook (Revenue, USD Billion, 2020-2034)

Data Mining

Reporting

Analytics

By Deployment Outlook (Revenue, USD Billion, 2020-2034)

Private Cloud

Public Cloud

Hybrid Cloud

By Application Outlook (Revenue, USD Billion, 2020-2034)

Fraud Detection and Threat Management

Supply Chain Management

Asset Management

Risk and Compliance Management

Customer Analytics

Others

By Vertical Outlook (Revenue, USD Billion, 2020-2034)

BFSI

Retail & Ecommerce

Telecommunication and IT

Healthcare and Life Sciences

Manufacturing and Automotive

Government and Public Sector

Travel and Hospitality

Media and Entertainment

Others

By Regional Outlook (Revenue, USD Billion, 2020-2034)

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Netherlands

Russia

Rest of Europe

Asia Pacific

China

Japan

India

Malaysia

South Korea

Indonesia

Australia

Vietnam

Rest of Asia Pacific

Middle East & Africa

Saudi Arabia

UAE

Israel

South Africa

Rest of Middle East & Africa

Latin America

Mexico

Brazil

Argentina

Rest of Latin America

Table of Contents

Chapter 1. Overview and Scope

  • 1.1 Research goal & scope
  • 1.2 Market Scope

Chapter 2. Research Methodology Overview

  • 2.1 Research Methodology
  • 2.2 Research Scope and Assumptions
  • 2.3 InApplicationation Procurement
    • 2.3.1 Purchased Database
    • 2.3.2 Internal Database
    • 2.3.3 Secondary Sources
    • 2.3.4 Third Party Perspective
    • 2.3.5 Primary Research
  • 2.4 InApplicationation Analysis
    • 2.4.1 Data Analysis Models
  • 2.5 Market Applicationulation and Data Visualization
  • 2.6 Data Validation and Publishing (Secondary Sources)

Chapter 3. Executive Summary

  • 3.1 Market Overview
  • 3.2 Market Segmentation
    • 3.2.1 Market By Usage
    • 3.2.2 Market By Deployment
    • 3.2.3 Market By Application
    • 3.2.4 Market By Vertical
    • 3.2.5 Geographic Overview

Chapter 4. Data Warehouse-as-a-Service Market Insights

  • 4.1 Data Warehouse-as-a-Service - Market Size and Growth Prospects
  • 4.2 Data Warehouse-as-a-Service Market Dynamics
    • 4.2.1 Data Warehouse-as-a-Service Market Driver and Opportunity Analysis
      • 4.2.1.1 Growing demand for scalable and cost-effective data management solutions
      • 4.2.1.2 Rapid adoption of cloud services across industries
    • 4.2.2 Data Warehouse-as-a-Service Market Restraint/Challenges Analysis
      • 4.2.2.1 Concerns over data security and regulatory compliance
  • 4.3 Data Warehouse-as-a-Service Market- Porter's Five Forces Analysis
  • 4.4 Data Warehouse-as-a-Service Market- PESTLE Analysis
  • 4.5 Data Warehouse-as-a-Service Market- Key Industrial Trends

Chapter 5. Data Warehouse-as-a-Service Market Assessment By Usage

  • 5.1 Introduction
  • 5.2 Data Mining
  • 5.3 Reporting
  • 5.4 Analytics

Chapter 6. Data Warehouse-as-a-Service Market Assessment By Deployment

  • 6.1 Introduction
  • 6.2 Private Cloud
  • 6.3 Public Cloud
  • 6.4 Hybrid Cloud

Chapter 7. Data Warehouse-as-a-Service Market Assessment By Application

  • 7.1 Introduction
  • 7.2 Fraud Detection And Threat Management
  • 7.3 Supply Chain Management
  • 7.4 Asset Management
  • 7.5 Risk And Compliance Management
  • 7.6 Customer Analytics
  • 7.7. Others

Chapter 8. Data Warehouse-as-a-Service Market Assessment By Vertical

  • 8.1 Introduction
  • 8.2 BFSI
  • 8.3 Retail & Ecommerce
  • 8.4 Telecommunication And IT
  • 8.5. Healthcare And Life Sciences
  • 8.6. Manufacturing And Automotive
  • 8.7. Government And Public Sector
  • 8.8. Travel And Hospitality
  • 8.9. Media And Entertainment
  • 8.10. Others

Chapter 9. Data Warehouse-as-a-Service Market Assessment by Geography

  • 9.1 Introduction
  • 9.2 NORTH AMERICA
    • 9.2.1 U.S.
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 EUROPE
    • 9.3.1 Germany
    • 9.3.2 France
    • 9.3.3 Italy
    • 9.3.4 U.K
    • 9.3.5 Spain
    • 9.3.6 Netherlands
    • 9.3.7 Russia
    • 9.3.8 Rest of Europe
  • 9.4 ASIA-PACIFIC
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Indonesia
    • 9.4.5 South Korea
    • 9.4.6 Malaysia
    • 9.4.7 Rest of APAC
  • 9.5 LATIN AMERICA
    • 9.5.1 Brazil
    • 9.5.2 Argentina
    • 9.5.3 RoLATAM
  • 9.6 MIDDLE EAST AND AFRICA
    • 9.6.1 Saudi Arabia
    • 9.6.2 South Africa
    • 9.6.3 UAE
    • 9.6.4 Israel
    • 9.6.5 Rest of Middle East & Africa

Chapter 10. Competitive Landscape

  • 10.1 Deployment Development and Launches are the Best Adopted Strategy by the Companies
  • 10.2 Deployment Launch
  • 10.3 Acquisition/Agreement
  • 10.4 Partnership & Collaboration

Chapter 11. Company Profiles

  • 11.1 Actian Corporation
    • 11.1.1 Business Overview
    • 11.1.2 Financial Snapshot
    • 11.1.3 Deployment Benchmarking
    • 11.1.4 Recent Developments
  • 11.2 Amazon Web Services (AWS)
    • 11.2.1 Business Overview
    • 11.2.2 Financial Snapshot
    • 11.2.3 Deployment Benchmarking
    • 11.2.4 Recent Developments
  • 11.3 AtScale
    • 11.3.1 Business Overview
    • 11.3.2 Financial Snapshot
    • 11.3.3 Deployment Benchmarking
    • 11.3.4 Recent Developments
  • 11.4 Google (Alphabet)
    • 11.4.1 Business Overview
    • 11.4.2 Financial Snapshot
    • 11.4.3 Deployment Benchmarking
    • 11.4.4 Recent Developments
  • 11.5 Hortonworks
    • 11.6.1 Business Overview
    • 11.6.2 Financial Snapshot
    • 11.6.3 Deployment Benchmarking
    • 11.6.4 Recent Developments
  • 11.6 IBM Corporation
    • 11.7.1 Business Overview
    • 11.7.2 Financial Snapshot
    • 11.7.3 Deployment Benchmarking
    • 11.7.4 Recent Developments
  • 11.7 MarkLogic Corporation
    • 11.8.1 Business Overview
    • 11.8.2 Financial Snapshot
    • 11.8.3 Deployment Benchmarking
    • 11.8.4 Recent Developments
  • 11.8 Micro Focus
    • 11.9.1 Business Overview
    • 11.9.2 Financial Snapshot
    • 11.9.3 Deployment Benchmarking
    • 11.9.4 Recent Developments
  • 11.9 Microsoft Corporation
    • 11.11.1 Business Overview
    • 11.11.2 Financial Snapshot
    • 11.11.3 Deployment Benchmarking
    • 11.11.4 Recent Developments
  • 11.10 Netavis GmbH
    • 11.12.1 Business Overview
    • 11.12.2 Financial Snapshot
    • 11.12.3 Deployment Benchmarking
    • 11.12.4 Recent Developments
  • 11.11 Oracle Corporation
    • 11.13.1 Business Overview
    • 11.13.2 Financial Snapshot
    • 11.13.3 Deployment Benchmarking
    • 11.13.4 Recent Developments
  • 11.12 SAP SE
    • 11.14.1 Business Overview
    • 11.14.2 Financial Snapshot
    • 11.14.3 Deployment Benchmarking
    • 11.14.4 Recent Developments
  • 11.13 Snowflake Inc.
    • 11.14.1 Business Overview
    • 11.14.2 Financial Snapshot
    • 11.14.3 Deployment Benchmarking
    • 11.14.4 Recent Developments
  • 11.14 Teradata Corporation
    • 11.14.1 Business Overview
    • 11.14.2 Financial Snapshot
    • 11.14.3 Deployment Benchmarking
    • 11.14.4 Recent Developments
  • 11.15 Veeva Systems Inc.
    • 11.14.1 Business Overview
    • 11.14.2 Financial Snapshot
    • 11.14.3 Deployment Benchmarking
    • 11.14.4 Recent Developments
»ùÇà ¿äû ¸ñ·Ï
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
¸ñ·Ï º¸±â
Àüü»èÁ¦