½ÃÀ庸°í¼­
»óǰÄÚµå
1390502

Hadoop ½ÃÀå : ¼¼°è »ê¾÷ µ¿Çâ, Á¡À¯À², ±Ô¸ð, ¼ºÀå, ±âȸ, ¿¹Ãø(2023-2028³â)

Hadoop Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: IMARC | ÆäÀÌÁö Á¤º¸: ¿µ¹® 146 Pages | ¹è¼Û¾È³» : 2-3ÀÏ (¿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.

°³¿ä

¼¼°èÀÇ Hadoop ½ÃÀå ±Ô¸ð´Â 2022³â¿¡ 704¾ï ´Þ·¯¿¡ ´ÞÇß½À´Ï´Ù. ÇâÈÄ IMARC GroupÀº 2022-2028³â 38.43%ÀÇ ¼ºÀå·ü(CAGR)À» º¸À̸ç, 2028³â±îÁö 4,953¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøÇϰí ÀÖ½À´Ï´Ù.

HadoopÀº »ó¿ë Çϵå¿þ¾î Ŭ·¯½ºÅÍ¿¡¼­ µ¥ÀÌÅ͸¦ ÀúÀåÇÏ°í ¿ëµµÀ» ½ÇÇàÇϱâ À§ÇØ ¼³°èµÈ ¿ÀǼҽº ¼ÒÇÁÆ®¿þ¾î·Î, ´Ù¾çÇÑ À¯ÇüÀÇ µ¥ÀÌÅ͸¦ À§ÇÑ ´ë¿ë·® ½ºÅ丮Áö, ¹æ´ëÇÑ Ã³¸® ´É·Â, ¹«ÇÑÇÑ µ¿½Ã ÀÛ¾÷ ¹× ÀÛ¾÷À» °¡»óÀ¸·Î ó¸®ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» Á¦°øÇÕ´Ï´Ù. ó¸®ÇÒ ¼ö ÀÖ´Â ´É·ÂÀ» Á¦°øÇÕ´Ï´Ù. ÀÌ ¿Ü¿¡µµ ºñÁî´Ï½º ÀÇ»ç°áÁ¤À» ÃËÁøÇϰí, ¼ÒºñÀÚ ºÎ¹®¿¡ ÃÊÁ¡À» ¸ÂÃß°í, À߸øµÈ ÇÁ·Î¼¼½º¸¦ Á¦°ÅÇϰí, ÇöÀå ¿î¿µÀ» ÃÖÀûÈ­Çϰí, ÀûÀýÇÑ °Ë»ö °á°ú¸¦ Á¦°øÇϰí, ¿¹Ãø ºÐ¼®À» ½ÇÇàÇÏ´Â µ¥ µµ¿òÀ» ÁÝ´Ï´Ù. À¯¿¬¼º, È®À强, ºñ¿ë È¿À²¼º, ³»°áÇÔ¼º, ºü¸¥ ½Ã°£ ³»¿¡ º¹ÀâÇÑ Äõ¸®¸¦ ½ÇÇàÇÒ ¼ö ÀÖÀ¸¸ç, ¼¼°è¿¡¼­ Àα⸦ ²ø°í ÀÖ½À´Ï´Ù.

Hadoop ½ÃÀå µ¿Çâ :

ÇöÀç µ¿¿µ»ó, À̸ÞÀÏ, ¼Ò¼È¹Ìµð¾î Ç÷§Æû°ú °°Àº ¿ÜºÎ ¼Ò½º·ÎºÎÅÍ ¾òÀº ½Ç½Ã°£ ºÐ¼®¿¡ ´ëÇÑ ¿ä±¸°¡ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ÀÌ´Â ½ÃÀå ¼ºÀåÀ» °¡¼ÓÇÏ´Â Áß¿äÇÑ ¿äÀÎ Áß ÇϳªÀ̸ç, HadoopÀº ´Ù¾çÇÑ Á¶Á÷¿¡¼­ Ȱµ¿ÇÏ´Â ±â¼ú Àü¹®°¡µéÀÌ Å¬¶ó¿ìµå¿¡¼­ ºòµ¥ÀÌÅÍ ºÐ¼®, ºòµ¥ÀÌÅÍ °ü¸®, ºòµ¥ÀÌÅÍ ½ºÅ丮Áö¸¦ Æ÷ÇÔÇÑ ¼ö¸¹Àº ÀÛ¾÷À» ¼öÇàÇÒ ¼ö ÀÖ°Ô ÇØÁÝ´Ï´Ù. ±× °á°ú ¼¼°è Á¶Á÷¿¡¼­ Á¡Á¡ ´õ ¸¹ÀÌ »ç¿ëµÇ°í ÀÖ½À´Ï´Ù. ÀÌ ¿Ü¿¡µµ ±â¾÷°£ °æÀïÀÌ Ä¡¿­ÇØÁö°í ºñÁ¤Çü µ¥ÀÌÅÍÀÇ ¾çÀÌ Å©°Ô Áõ°¡Çϸ鼭 Hadoop¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ ÇコÄɾî, À¯Åë, ¹Ìµð¾î/¿£ÅÍÅ×ÀÎ¸ÕÆ®, Á¤ºÎ, IT/Åë½Å, »ý¸í°úÇÐ, ÀºÇà/±ÝÀ¶¼­ºñ½º/º¸Çè(BFSI) µî ´Ù¾çÇÑ ºÐ¾ß¿¡¼­ Æø³Ð°Ô Ȱ¿ëµÇ°í ÀÖ½À´Ï´Ù. ÀÌ´Â Á¤Çü µ¥ÀÌÅͻӸ¸ ¾Æ´Ï¶ó ºñÁ¤Çü µ¥ÀÌÅ͵µ È¿°úÀûÀ¸·Î °ü¸®ÇÒ ¼ö ÀÖ´Â ¼ÒÇÁÆ®¿þ¾îÀÇ ´É·Â¿¡ ±âÀÎÇÕ´Ï´Ù. ¶ÇÇÑ ¼ÒºñÀÚ Çൿ ºÐ¼®°ú Àç°í ¹× °ø°£ °ü¸®¿¡µµ µµ¿òÀÌ µË´Ï´Ù. ÀÌ ¹Û¿¡µµ ÀÌ ½ÃÀåÀº ¼¼°è E-Commerce »ê¾÷ÀÇ ¼ºÀåÀ¸·Î ÀÎÇØ ±àÁ¤ÀûÀÎ ¿µÇâÀ» ¹Þ°í ÀÖ½À´Ï´Ù.

ÀÌ º¸°í¼­¿¡¼­ ´Ù·é ÁÖ¿ä Áú¹®

  • ¼¼°è Hadoop ½ÃÀå ±Ô¸ð´Â?
  • 2023-2028³â ¼¼°è Hadoop ½ÃÀåÀÇ ¿¹»ó ¼ºÀå·üÀº?
  • ¼¼°è Hadoop ½ÃÀåÀ» ÃËÁøÇÏ´Â ÁÖ¿ä ¿äÀÎÀº?
  • COVID-19°¡ ¼¼°è Hadoop ½ÃÀå¿¡ ¹ÌÄ£ ¿µÇâÀº?
  • ¼¼°è Hadoop ½ÃÀåÀÇ ÄÄÆ÷³ÍÆ®º° ºÐ·ù´Â?
  • È®»ê ¸ðµ¨¿¡ µû¸¥ ¼¼°è Hadoop ½ÃÀå ÇöȲÀº?
  • Á¶Á÷ ±Ô¸ð¿¡ µû¸¥ ¼¼°è Hadoop ½ÃÀå ºÐ¼®Àº?
  • ÃÖÁ¾ »ç¿ë »ê¾÷º° ¼¼°è Hadoop ½ÃÀå ÇöȲÀº?
  • ¼¼°è Hadoop ½ÃÀåÀÇ ÁÖ¿ä Áö¿ªÀº?
  • ¼¼°è Hadoop ½ÃÀåÀÇ ÁÖ¿ä ±â¾÷Àº?

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹üÀ§¿Í Á¶»ç ¹æ¹ý

  • Á¶»ç ¸ñÀû
  • ÀÌÇØ°ü°èÀÚ
  • µ¥ÀÌÅÍ ¼Ò½º
    • 1Â÷ Á¤º¸
    • 2Â÷ Á¤º¸
  • ½ÃÀå ÃßÁ¤
    • º¸ÅÒ¾÷ ¾îÇÁ·ÎÄ¡
    • Åé´Ù¿î ¾îÇÁ·ÎÄ¡
  • Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ¼­·Ð

  • °³¿ä
  • ÁÖ¿ä ¾÷°è µ¿Çâ

Á¦5Àå ¼¼°èÀÇ Hadoop ½ÃÀå

  • ½ÃÀå °³¿ä
  • ½ÃÀå ½ÇÀû
  • COVID-19ÀÇ ¿µÇâ
  • ½ÃÀå ¿¹Ãø

Á¦6Àå ½ÃÀå ³»¿ª : ÄÄÆ÷³ÍÆ®º°

  • Çϵå¿þ¾î
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ¼ÒÇÁÆ®¿þ¾î
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ¼­ºñ½º
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø

Á¦7Àå ½ÃÀå ³»¿ª : µµÀÔ ¸ðµ¨º°

  • ¿ÂÇÁ·¹¹Ì½º
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • Ŭ¶ó¿ìµå
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ÇÏÀ̺긮µå
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø

Á¦8Àå ½ÃÀå ³»¿ª : Á¶Á÷ ±Ô¸ðº°

  • ´ë±â¾÷
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • Áß¼Ò±â¾÷
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø

Á¦9Àå ½ÃÀå ³»¿ª : ÃÖÁ¾ ¿ëµµ »ê¾÷º°

  • BFSI
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ¼Ò¸Å¡¤¼ÒºñÀç
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • IT¡¤Åë½Å
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • Á¦Á¶¾÷
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • Á¤ºÎ¡¤¹æÀ§
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ¹Ìµð¾î¿Í ¿£ÅÍÅ×ÀÎ¸ÕÆ®
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ¿¡³ÊÁö¿Í À¯Æ¿¸®Æ¼
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø
  • ±âŸ
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ¿¹Ãø

Á¦10Àå ½ÃÀå ³»¿ª : Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ij³ª´Ù
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • Áß±¹
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ÀϺ»
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • Àεµ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • Çѱ¹
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • È£ÁÖ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • Àεµ³×½Ã¾Æ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ±âŸ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
  • À¯·´
    • µ¶ÀÏ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ÇÁ¶û½º
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ¿µ±¹
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ÀÌÅ»¸®¾Æ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ½ºÆäÀÎ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ·¯½Ã¾Æ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ±âŸ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
  • ¶óƾ¾Æ¸Þ¸®Ä«
    • ºê¶óÁú
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ¸ß½ÃÄÚ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
    • ±âŸ
      • ½ÃÀå µ¿Çâ
      • ½ÃÀå ¿¹Ãø
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«
    • ½ÃÀå µ¿Çâ
    • ½ÃÀå ³»¿ª : ±¹°¡º°
    • ½ÃÀå ¿¹Ãø

Á¦11Àå SWOT ºÐ¼®

  • °³¿ä
  • °­Á¡
  • ¾àÁ¡
  • ±âȸ
  • À§Çù

Á¦12Àå ¹ë·ùüÀÎ ºÐ¼®

Á¦13Àå Porter's Five Forces ºÐ¼®

  • °³¿ä
  • ±¸¸ÅÀÚÀÇ ±³¼··Â
  • °ø±Þ ±â¾÷ÀÇ ±³¼··Â
  • °æÀïÀÇ Á¤µµ
  • ½Å±Ô ÁøÃâ¾÷üÀÇ À§Çù
  • ´ëüǰÀÇ À§Çù

Á¦14Àå °¡°Ý ºÐ¼®

Á¦15Àå °æÀï ±¸µµ

  • ½ÃÀå ±¸Á¶
  • ÁÖ¿ä ±â¾÷
  • ÁÖ¿ä ±â¾÷ÀÇ °³¿ä
    • Amazon Web Services Inc.(Amazon.com Inc)
    • Cisco Systems Inc
    • Cloudera Inc.
    • Datameer Inc.
    • Dell Technologies Inc.
    • Google LLC(Alphabet Inc.)
    • International Business Machine Corporation
    • Hewlett Packard Enterprise Development LP
    • MarkLogic Corporation
    • Teradata
KSA 23.12.18

Abstract

The global hadoop market size reached US$ 70.4 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 495.3 Billion by 2028, exhibiting a growth rate (CAGR) of 38.43% during 2022-2028.

Hadoop is an open-source software designed to store data and run applications on clusters of commodity hardware. It provides massive storage for different types of data, enormous processing power, and the ability to handle limitless concurrent tasks or jobs virtually. Apart from this, it also assists in stimulating business decisions, focusing on the consumer segment, weeding out erroneous processes, optimizing floor operations, providing relevant search results, and performing predictive analytics. As it is flexible, scalable, cost-effective, and enables fault tolerance and running complex queries in less time, it is gaining traction across the globe.

Hadoop Market Trends:

At present, there is a significant rise in the need for real-time analytics, which is obtained from video, email, and other external sources such as social media platforms. This represents one of the key factors bolstering the growth of the market. Hadoop enables technical experts operating in different organizations to perform numerous operations, including big data analytics, big data management, and big data storage in a cloud. As a result, it is increasingly being used in organizations around the world. Apart from this, considerably rising competition among businesses and extensively rising volumes of unstructured data is also catalyzing the demand for Hadoop. Furthermore, it finds a wide array of applications in the healthcare, retail, media and entertainment, government, telecommunications, life sciences, and banking, financial services, and insurance (BFSI) sectors. This can be attributed to the ability of the software to effectively manage structured as well as unstructured data. It also aids in analyzing consumer behavior and maintaining inventory and space. Besides this, the market is also positively influenced by the thriving e-commerce industry worldwide.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global hadoop market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on component, deployment model, organization size and end use industry.

Breakup by Component:

Hardware

Software

Services

Breakup by Deployment Model:

On-premises

Cloud-based

Hybrid

Breakup by Organization Size:

Large Enterprises

Small and Medium Enterprises

Breakup by End Use Industry:

BFSI

Retail and Consumer Goods

IT and Telecommunication

Manufacturing

Government and Defense

Media and Entertainment

Energy and Utility

Others

Breakup by Region:

North America

United States

Canada

Asia-Pacific

China

Japan

India

South Korea

Australia

Indonesia

Others

Europe

Germany

France

United Kingdom

Italy

Spain

Russia

Others

Latin America

Brazil

Mexico

Others

Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Amazon Web Services Inc. (Amazon.com Inc), Cisco Systems Inc, Cloudera Inc., Datameer Inc., Dell Technologies Inc., Google LLC (Alphabet Inc.), International Business Machine Corporation, Hewlett Packard Enterprise Development LP, MarkLogic Corporation and Teradata.

Key Questions Answered in This Report

  • 1. How big is the global hadoop market?
  • 2. What is the expected growth rate of the global hadoop market during 2023-2028?
  • 3. What are the key factors driving the global hadoop market?
  • 4. What has been the impact of COVID-19 on the global hadoop market?
  • 5. What is the breakup of the global hadoop market based on the component?
  • 6. What is the breakup of the global hadoop market based on the deployment model?
  • 7. What is the breakup of the global hadoop market based on the organization size?
  • 8. What is the breakup of the global hadoop market based on the end use industry?
  • 9. What are the key regions in the global hadoop market?
  • 10. Who are the key players/companies in the global hadoop market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Hadoop Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Hardware
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Software
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Services
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast

7 Market Breakup by Deployment Model

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Hybrid
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast

8 Market Breakup by Organization Size

  • 8.1 Large Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Small and Medium Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by End Use Industry

  • 9.1 BFSI
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Retail and Consumer Goods
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 IT and Telecommunication
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Manufacturing
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Government and Defense
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Media and Entertainment
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Energy and Utility
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast
  • 9.8 Others
    • 9.8.1 Market Trends
    • 9.8.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Amazon Web Services Inc. (Amazon.com Inc)
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 SWOT Analysis
    • 15.3.2 Cisco Systems Inc
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Cloudera Inc.
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
    • 15.3.4 Datameer Inc.
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 Dell Technologies Inc.
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 Google LLC (Alphabet Inc.)
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 SWOT Analysis
    • 15.3.7 International Business Machine Corporation
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
      • 15.3.7.3 Financials
      • 15.3.7.4 SWOT Analysis
    • 15.3.8 Hewlett Packard Enterprise Development LP
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis
    • 15.3.9 MarkLogic Corporation
      • 15.3.9.1 Company Overview
      • 15.3.9.2 Product Portfolio
    • 15.3.10 Teradata
      • 15.3.10.1 Company Overview
      • 15.3.10.2 Product Portfolio
      • 15.3.10.3 Financials
      • 15.3.10.4 SWOT Analysis
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦