µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå ±Ô¸ð, Á¡À¯À², µ¿Ç⠺м® º¸°í¼­ : ÄÄÆ÷³ÍÆ®º°, ¹èÆ÷º°, ±â¾÷ ±Ô¸ðº°, ÃÖÁ¾ ¿ëµµº°, ºÎ¹® ¿¹Ãø(2025-2030³â)
Data Wrangling Market Size, Share & Trends Analysis Report By Component (Solution, Services), By Deployment (Cloud, On-premises), By Enterprise Size (SMEs, Large Enterprises), By End User, and Segment Forecasts, 2025 - 2030
»óǰÄÚµå : 1654521
¸®¼­Ä¡»ç : Grand View Research, Inc.
¹ßÇàÀÏ : 2025³â 01¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 100 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 4,950 £Ü 7,162,000
Unprintable PDF (Single User License) help
PDF º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠺Ұ¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 5,950 £Ü 8,609,000
Printable PDF (5-User License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ 5¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 7,950 £Ü 11,502,000
Printable PDF (Enterprise License) help
PDF º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμ⠰¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.


¤± 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.

Çѱ۸ñÂ÷

µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀåÀÇ ¼ºÀå°ú µ¿Çâ

Grand View Research, Inc.ÀÇ ÃֽŠº¸°í¼­¿¡ µû¸£¸é ¼¼°èÀÇ µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå ±Ô¸ð´Â 2030³â±îÁö 77¾ï 8,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹»óµÇ¸ç, 2025-2030³â CAGRÀº 13.3%·Î È®´ëµÉ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

½ÃÀå ¼ºÀåÀÇ ¿øµ¿·ÂÀº Á¶Á÷ ÀüüÀÇ µ¥ÀÌÅÍ ¾ç°ú ¼Óµµ Áõ°¡, µ¥ÀÌÅÍ ·©±Û¸µÀÇ AI ¹× ¸Ó½Å·¯´×°ú °°Àº ±â¼ú ¹ßÀüÀÔ´Ï´Ù. ¶ÇÇÑ ¿¡Áö ÄÄÇ»ÆÃ ¼Ö·ç¼Ç °³¹ß·Î ÀÎÇØ ½ÃÀåÀÌ È°¼ºÈ­µÉ °ÍÀÔ´Ï´Ù. ±â¾÷ÀÇ ±ÔÁ¦ ¾Ð·Â Áõ°¡´Â µ¥ÀÌÅÍ ·©±Û¸µ ±â¾÷ÀÇ ¼ºÀå¿¡ Å« Àü¸ÁÀ» °¡Á®´Ù ÁÙ °ÍÀ¸·Î ¿¹»óµË´Ï´Ù.

µ¥ÀÌÅÍ ·©±Û¸µ ÅøÀº Á¶Á÷ÀÌ ¿ø½Ã ºñÁ¤Çü µ¥ÀÌÅ͸¦ ºÐ¼®¿¡ ÀûÇÕÇÑ ±ú²ýÇÏ°í ±¸Á¶È­µÈ µ¥ÀÌÅÍ·Î º¯È¯ÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù. µ¥ÀÌÅÍ ·©±Û¸µ ÅøÀ» ÅëÇØ µ¥ÀÌÅ͸¦ Á¤¸®ÇÏ°í ±¸Á¶È­ÇÔÀ¸·Î½á Á¶Á÷Àº ºòµ¥ÀÌÅÍ ºÐ¼® ÀÛ¾÷À» ¼º°øÀûÀ¸·Î ¼öÇàÇϰí ÀÇ¹Ì ÀÖ´Â ÀλçÀÌÆ®À» ¾òÀ» ¼ö ÀÖ½À´Ï´Ù. ±× °á°ú, ºòµ¥ÀÌÅÍ ºÐ¼®ÀÇ ´ëÁßÈ­¿¡ ÈûÀÔ¾î ÃÖ±Ù ¼ö³â°£ µ¥ÀÌÅÍ Á¤Á¦ ¼Ö·ç¼Ç¿¡ ´ëÇÑ ¼ö¿ä°¡ Å©°Ô Áõ°¡Çϰí ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ °ü¸® ÅøÀº µ¥ÀÌÅ͸¦ ÃÖ´ëÇÑ È°¿ëÇÏ°í ºñÁî´Ï½º ¼º°ø¿¡ µµ¿òÀÌ µÇ´Â ÀλçÀÌÆ®¸¦ µµÃâÇϰíÀÚ ÇÏ´Â Á¶Á÷¿¡ ÇʼöÀûÀÔ´Ï´Ù.

±â¾÷ ¸ðºô¸®Æ¼¿Í BYOD Áõ°¡ Ãß¼¼¿¡ µû¶ó Á÷¿øµéÀº °¢ÀÚÀÇ µð¹ÙÀ̽º·Î µ¥ÀÌÅÍ¿¡ Á¢±ÙÇÏ°í »ç¿ëÇÏ°Ô µÇ¾ú½À´Ï´Ù. µû¶ó¼­ ÀûÀýÇÑ µ¥ÀÌÅÍ °ü¸®°¡ ÀÌ·ç¾îÁöÁö ¾ÊÀ¸¸é µ¥ÀÌÅÍ ºÐ½Ç ¹× µµ³­ÀÇ À§ÇèÀÌ ³ô¾ÆÁú ¼ö ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇØ Á¶Á÷µéÀº µ¥ÀÌÅÍ °ü¸® ¹× º¸¾ÈÀ» º¸ÀåÇÏ´Â µ¥ÀÌÅÍ °ü¸® ¼Ö·ç¼Ç¿¡ ÁÖ¸ñÇϰí ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ ·©±Û¸µ ÅøÀº °³ÀÎ ¼ÒÀ¯ÀÇ ±â±â¿¡¼­ ¾×¼¼½ºÇϰųª »ç¿ëÇÏ´õ¶óµµ Á¶Á÷ÀÌ µ¥ÀÌÅ͸¦ °ü¸®ÇÒ ¼ö ÀÖµµ·Ï µµ¿ÍÁÝ´Ï´Ù. µ¥ÀÌÅÍ °ü¸® ¼Ö·ç¼ÇÀ» ÅëÇØ Á¶Á÷Àº µ¥ÀÌÅ͸¦ ÀûÀýÈ÷ °ü¸®ÇÏ°í º¸È£Çϸç, ÀÇ»ç°áÁ¤±ÇÀÚ°¡ ½±°Ô Á¢±ÙÇÏ°í »ç¿ëÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿© ºñÁî´Ï½º ¼º°øÀ» ÃËÁøÇÒ ¼ö ÀÖ½À´Ï´Ù.

¼¿ÇÁ ¼­ºñ½º ºÐ¼®ÀÇ ºÎ»óÀ¸·Î ÀÎÇØ ºñÀü¹®°¡°¡ ºÐ¼®À» À§ÇØ µ¥ÀÌÅ͸¦ ÁغñÇÏ´Â µ¥ µµ¿òÀÌ µÇ´Â µ¥ÀÌÅÍ ·©±Û¸µ Åø¿¡ ´ëÇÑ ¼ö¿ä°¡ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. µû¶ó¼­ µ¥ÀÌÅÍ ·©±Û¸µ º¥´õµéÀº IT Áö¿ø ¾øÀ̵µ µ¥ÀÌÅÍ¿¡¼­ ÀλçÀÌÆ®¸¦ µµÃâÇÒ ¼ö ÀÖ´Â »ç¿ëÇϱ⠽¬¿î ÅøÀ» Á¦°øÇÒ ¼ö ÀÖ´Â Å« ±âȸ¸¦ ¸ÂÀÌÇϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ µ¥ÀÌÅÍ ÇÁ¶óÀ̹ö½Ã ¹× º¸¾È¿¡ ´ëÇÑ ¿ì·Á°¡ ³ô¾ÆÁö¸é¼­ µ¥ÀÌÅÍ °Å¹ö³Í½º ¹× ÄÄÇöóÀ̾𽺰¡ ±× ¾î´À ¶§º¸´Ù Áß¿äÇØÁö°í ÀÖ½À´Ï´Ù. µ¥ÀÌÅÍ ·©±Û¸µÀº Á¶Á÷ÀÌ µ¥ÀÌÅ͸¦ ÀûÀýÈ÷ °ü¸®ÇÏ°í º¸È£ÇÒ ¼ö ÀÖµµ·Ï µ½½À´Ï´Ù. ÀÌ´Â ±ÔÁ¦ ¿ä°ÇÀ» ÃæÁ·ÇÏ°í °í°´ÀÇ ½Å·Ú¸¦ À¯ÁöÇÏ´Â µ¥ ÇʼöÀûÀÎ ¿ä¼ÒÀÔ´Ï´Ù.

µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå º¸°í¼­ ÇÏÀ̶óÀÌÆ®

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý°ú ¹üÀ§

Á¦2Àå °³¿ä

Á¦3Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀåÀÇ º¯¼ö, µ¿Çâ, ¹üÀ§

Á¦4Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå : ÄÄÆ÷³ÍÆ®º°, ÃßÁ¤¡¤µ¿Ç⠺м®

Á¦5Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå : ¹èÆ÷º°, ÃßÁ¤¡¤µ¿Ç⠺м®

Á¦6Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå : ±â¾÷ ±Ô¸ðº°, ÃßÁ¤¡¤µ¿Ç⠺м®

Á¦7Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå : ÃÖÁ¾ ¿ëµµº°, ÃßÁ¤¡¤µ¿Ç⠺м®

Á¦8Àå µ¥ÀÌÅÍ ·©±Û¸µ ½ÃÀå : Áö¿ªº°, ÃßÁ¤¡¤µ¿Ç⠺м®

Á¦9Àå °æÀï ±¸µµ

KSA
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

Data Wrangling Market Growth & Trends:

The global data wrangling market size is estimated to reach USD 7.78 billion by 2030, expanding at a CAGR of 13.3% from 2025 to 2030, according to a new report by Grand View Research, Inc. The market's growth is driven by the increase in data volume and velocity across organizations as well as technical advancements like AI and machine learning in data wrangling. Additionally, the market is fueled by edge computing solutions development. Growing enterprise regulatory pressure is anticipated to offer significant prospects for the growth of data-wrangling companies.

Data wrangling tools can help organizations transform their raw, unstructured data into clean, structured data that is ready for analysis. By cleaning and structuring their data using data wrangling tools, organizations can ensure that their big data analytics efforts are successful and deliver meaningful insights. As a result, the demand for data wrangling solutions has increased significantly in recent years, driven in large part by the growing adoption of big data analytics. Data wrangling tools are essential for organizations looking to make the most of their data and derive insights that can help drive business success.

With the increasing trend of enterprise mobility and BYOD, employees are accessing and using data on their devices. This can increase the risk of data loss or theft if proper data management practices are not in place. Moreover, organizations are turning to data wrangling solutions to help manage and secure their data to address these concerns. Data wrangling tools can help organizations maintain control over their data, even when accessed and used on personal devices. By using data wrangling solutions, organizations can ensure that their data is properly managed and secured and can be easily accessed and used by decision-makers to drive business success.

The rise of self-service analytics has increased the demand for data wrangling tools that can help non-technical users prepare data for analysis. This has created a significant opportunity for data wrangling vendors to offer easy-to-use tools that empower users to derive insights from data independently without IT support. Moreover, with increased data privacy and security concerns, data governance and compliance have become more important than ever. Data wrangling can help organizations ensure that their data is properly managed and secured, which is critical for meeting regulatory requirements and maintaining customer trust.

Data Wrangling Market Report Highlights:

Table of Contents

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Data Wrangling Market Variables, Trends, & Scope

Chapter 4. Data Wrangling Market: Component Estimates & Trend Analysis

Chapter 5. Data Wrangling Market: Deployment Estimates & Trend Analysis

Chapter 6. Data Wrangling Market: Enterprise Size Estimates & Trend Analysis

Chapter 7. Data Wrangling Market: End-Use Estimates & Trend Analysis

Chapter 8. Data Wrangling Market: Regional Estimates & Trend Analysis

Chapter 9. Competitive Landscape

(ÁÖ)±Û·Î¹úÀÎÆ÷¸ÞÀÌ¼Ç 02-2025-2992 kr-info@giikorea.co.kr
¨Ï Copyright Global Information, Inc. All rights reserved.
PC¹öÀü º¸±â