¼¼°èÀÇ AaaS(Analytics as a Service) ½ÃÀå º¸°í¼­ : À¯Çüº°, ÄÄÆ÷³ÍÆ®º°, Àü°³ À¯Çüº°, ±â¾÷ ±Ô¸ðº°, ¾÷°èº°, Áö¿ªº°(2025-2033³â)
Analytics as a Service Market Report by Type, Component, Deployment Type, Enterprise Size, Industry Vertical, and Region 2025-2033
»óǰÄÚµå : 1701869
¸®¼­Ä¡»ç : IMARC Group
¹ßÇàÀÏ : 2025³â 04¿ù
ÆäÀÌÁö Á¤º¸ : ¿µ¹® 146 Pages
 ¶óÀ̼±½º & °¡°Ý (ºÎ°¡¼¼ º°µµ)
US $ 2,999 £Ü 4,184,000
PDF & Excel (Single User License) help
PDF, Excel º¸°í¼­¸¦ 1¸í¸¸ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â 1ȸ °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 3,999 £Ü 5,580,000
PDF & Excel (5 User License) help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ »ç¾÷ÀåÀÇ 5¸í±îÁö ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´ÉÇϸç Àμ⹰ÀÇ ÀÌ¿ë ¹üÀ§´Â PDF ÀÌ¿ë ¹üÀ§¿Í µ¿ÀÏÇÕ´Ï´Ù.
US $ 4,999 £Ü 6,975,000
PDF & Excel (Corporate License) help
PDF, Excel º¸°í¼­¸¦ µ¿ÀÏ ±â¾÷ÀÇ ¸ðµç ºÐÀÌ ÀÌ¿ëÇÒ ¼ö ÀÖ´Â ¶óÀ̼±½ºÀÔ´Ï´Ù. Àμâ´Â °¡´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÷

AaaS(Analytics as a Service) ¼¼°è ½ÃÀå ±Ô¸ð´Â 2024³â 282¾ï ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµË´Ï´Ù. ÇâÈÄ IMARC GroupÀº ÀÌ ½ÃÀåÀÌ 2033³â±îÁö 1,438¾ï ´Þ·¯¿¡ ´ÞÇϰí, 2025-2033³â 19.9%ÀÇ ¿¬Æò±Õ ¼ºÀå·ü(CAGR)À» º¸ÀÏ °ÍÀ¸·Î Àü¸ÁÇϰí ÀÖ½À´Ï´Ù. ÀÌ ½ÃÀåÀº ½Ã½ºÅÛ ¿î¿µÀ» ´õ Àß ÀÌÇØÇÏ¿© ¼­ºñ½º¸¦ ¾÷µ¥ÀÌÆ®ÇÏ·Á´Â »õ·Î¿î Á¶Á÷ÀÇ ¿ä±¸, ¼Ò¼È ¹Ìµð¾î ¿ëµµÀÇ ±¤¹üÀ§ÇÑ Ã¤ÅÃ, ¿©·¯ »ê¾÷ ºÐ¾ß¿¡¼­ ±Þ¼ÓÇÑ ÀÚµ¿È­, Á¦Á¶ ½Ã¼³ÀÇ ¿¹Ãø ¹× °ú°Å µ¥ÀÌÅÍ ºÐ¼® Ȱ¿ë Áõ°¡¿¡ ÀÇÇØ ÁÖµµµÇ°í ÀÖ½À´Ï´Ù.

AaaS(Analytics as a Service)´Â Ŭ¶ó¿ìµå¸¦ ÅëÇØ ¸ÂÃãÇü ±¸µ¶ ±â¹Ý µ¥ÀÌÅÍ ºÐ¼® ¼ÒÇÁÆ®¿þ¾î¿Í ÀýÂ÷¸¦ Á¦°øÇÏ´Â ºñÁî´Ï½º ¼Ö·ç¼ÇÀ¸·Î, ÁÖ·Î ´Ù¾çÇÑ µ¥ÀÌÅÍ¿Í Á¤º¸¸¦ Áß¾Ó ÁýÁᫎ Ç÷§Æû¿¡ ÅëÇÕÇÏ¿© ¼öÀÛ¾÷À» ÁÙÀÌ°í ¾÷¹« È¿À²¼ºÀ» ³ôÀÔ´Ï´Ù. AaaS´Â À¯Çü¿¡ µû¶ó ¿¹ÃøÇü, ó¹æÇü, Áø´ÜÇü, ¼­¼úÇü ºÐ¼®À¸·Î ºÐ·ùµÇ¸ç, ´Ù¸¥ µ¥ÀÌÅÍ ºÐ¼® µµ±¸¿Í ºñ±³ÇßÀ» ¶§, AaaS´Â ´Ù¸¥ µ¥ÀÌÅÍ ºÐ¼® µµ±¸¿Í ºñ±³ÇßÀ» ¶§, µ¥ÀÌÅÍ ºÐ¼® µµ±¸¿¡ ºñÇØ ÈξÀ ´õ ¸¹Àº ÀÌÁ¡ÀÌ ÀÖ½À´Ï´Ù. ´Ù¸¥ µ¥ÀÌÅÍ ºÐ¼® µµ±¸¿Í ºñ±³ÇÏ¿© AaaS´Â °í°´¿¡°Ô ¼¿ÇÁ ¼­ºñ½º ¶Ç´Â Ÿ»ç °ü¸® ¸Ó½Å·¯´×(ML) µµ±¸¸¦ ÅëÇØ µ¥ÀÌÅ͸¦ ºÐ¼®Çϱâ À§ÇØ ¿ø°Ý ºÐ¼® µµ±¸¿¡ ´ëÇÑ ¾×¼¼½º¸¦ Á¦°øÇÕ´Ï´Ù. ¶ÇÇÑ, ÀÌ Ç÷§ÆûÀº ¼ÒºñÀÚ Çൿ ¹× Æ®·»µå ºÐ¼®, µ¥ÀÌÅÍ ¼öÁý, Áß¾Ó¿¡¼­ °ü¸®µÇ´Â µ¥ÀÌÅÍ ±×·ì¿¡ ´ëÇÑ °³ÀÎÈ­µÈ ¾×¼¼½º Á¦°ø, °íµµÀÇ ´ëÈ­Çü ¼­ºñ½º Á¦°øÀ» Áö¿øÇÕ´Ï´Ù. ±× °á°ú, Åë½Å ¹× IT, ¼Ò¸Å, Á¤ºÎ, ÇコÄɾî, ÀºÇà, ±ÝÀ¶ ¼­ºñ½º ¹× º¸Çè(BFSI) ¾÷°è¿¡¼­ ³Î¸® äÅõǰí ÀÖ½À´Ï´Ù.

AaaS(Analytics as a Service) ½ÃÀå µ¿Çâ :

¼¼°è AaaS ½ÃÀåÀÇ ¼ºÀåÀ» °¡¼ÓÇÏ´Â ÁÖ¿ä ¿äÀÎ Áß Çϳª´Â ½Ã½ºÅÛ ¿î¿µ°ú °í°´ ÇൿÀ» ´õ Àß ÀÌÇØÇÏ¿© ¼­ºñ½º¸¦ ¾÷µ¥ÀÌÆ®ÇÏ·Á´Â »õ·Î¿î Á¶Á÷ÀÇ ¿ä±¸ÀÔ´Ï´Ù. ÀÌ¿¡ µû¶ó Áß¼Ò±â¾÷µéÀº Àú·ÅÇÑ ºñ¿ëÀ¸·Î µ¥ÀÌÅÍ ±â¹Ý ÀÇ»ç°áÁ¤À» ³»¸®±â À§ÇØ ÀÌ ±â¼úÀ» ³Î¸® äÅÃÇϰí ÀÖÀ¸¸ç, ÀÌ´Â ½ÃÀå ¼ºÀåÀ» µÞ¹ÞħÇϰí ÀÖ½À´Ï´Ù. AaaS¿¡ ´ëÇÑ ¼ö¿ä´Â ¼Ò¼È ¹Ìµð¾î ¿ëµµÀÇ È®»êÀ¸·Î ÀÎÇØ Ç÷§Æû Àü¹Ý¿¡ °ÉÃÄ Á¤Çü ¹× ºñÁ¤Çü µ¥ÀÌÅÍÀÇ ¾çÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ºñÁ¤Çü µ¥ÀÌÅÍÀÇ ¾çÀÌ Áõ°¡Çϰí ÀÖ½À´Ï´Ù. ¶ÇÇÑ, ¿¹»óÄ¡ ¸øÇÑ ´Ù¿îŸÀÓÀ» ÇÇÇϱâ À§ÇØ Á¦Á¶ ½Ã¼³¿¡¼­ ¿¹Ãø ¹× ÀÌ·Â µ¥ÀÌÅÍ ºÐ¼®ÀÇ »ç¿ëÀÌ Áõ°¡Çϰí, ÀϺΠ»ê¾÷¿¡¼­ ±Þ¼ÓÇÑ ÀÚµ¿È­°¡ ÁøÇàµÇ¸é¼­ ¶Ç ´Ù¸¥ ¼ºÀå ÃËÁø¿äÀÎÀ¸·Î ÀÛ¿ëÇϰí ÀÖ½À´Ï´Ù. À̿ʹ º°µµ·Î »ç¹°ÀÎÅͳÝ(IoT)ÀÇ µµÀÔ°ú ½º¸¶Æ®ÆùÀÇ º¸±ÞÀ¸·Î ºê·£µå´Â ±â°è°¡ »ý¼ºÇÑ µ¥ÀÌÅ͸¦ µ¿½Ã¿¡ ¼öÁýÇϰí ÀúÀåÇÒ ¼ö ÀÖ°Ô µÇ¾ú½À´Ï´Ù. ±× °á°ú, ±â¾÷Àº ³»ºÎ ÀÚ»êÀÇ ¼º´ÉÀ» Çâ»ó½Ã۰í, ¿î¿µ ºñ¿ëÀ» Àý°¨Çϰí, Àû±ØÀûÀÎ °í°´ Áö¿øÀ» Á¦°øÇϰí, ¼öÀÍ·üÀ» Çâ»ó½Ãų ¼ö ÀÖ°Ô µÇ¾úÀ¸¸ç, ½ÃÀå Àü¸ÁÀº ¹à¾ÆÁ³½À´Ï´Ù.

º» º¸°í¼­¿¡¼­ ´Ù·é ÁÖ¿ä Áú¹®

¸ñÂ÷

Á¦1Àå ¼­¹®

Á¦2Àå Á¶»ç ¹üÀ§¿Í Á¶»ç ¹æ¹ý

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ¼­·Ð

Á¦5Àå ¼¼°èÀÇ AaaS(Analytics as a Service)(AaaS) ½ÃÀå

Á¦6Àå ½ÃÀå ºÐ¼® : À¯Çüº°

Á¦7Àå ½ÃÀå ºÐ¼® : ÄÄÆ÷³ÍÆ®º°

Á¦8Àå ½ÃÀå ºÐ¼® : Àü°³ À¯Çüº°

Á¦9Àå ½ÃÀå ºÐ¼® : ±â¾÷ ±Ô¸ðº°

Á¦10Àå ½ÃÀå ºÐ¼® : ¾÷°èº°

Á¦11Àå ½ÃÀå ºÐ¼® : Áö¿ªº°

Á¦12Àå SWOT ºÐ¼®

Á¦13Àå ¹ë·ùüÀÎ ºÐ¼®

Á¦14Àå PorterÀÇ Five Forces ºÐ¼®

Á¦15Àå °¡°Ý ºÐ¼®

Á¦16Àå °æÀï ±¸µµ

LSH
¿µ¹® ¸ñÂ÷

¿µ¹®¸ñÂ÷

The global analytics as a service (AaaS) market size reached USD 28.2 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 143.8 Billion by 2033, exhibiting a growth rate (CAGR) of 19.9% during 2025-2033. The market is propelled by emerging organizational need to update their services by better understanding system operations, the widespread adoption of social media applications, rapid automation across several industry verticals, and the increasing utilization of predictive and historic data analysis by manufacturing facilities.

Analytics as a Service (AaaS) refers to a business solution that provides customized, subscription-based data analytics software and procedures through the cloud. It primarily integrates the differently sourced data and information into a centralized-managed platform, thereby reducing manual labor and enhancing operational efficiency. Depending on the type, AaaS is classified into predictive, prescriptive, diagnostic, and descriptive analytics types. As compared to other data analytic tools, AaaS offers its clients with an access to remote analytical tools for analyzing data either via self-service or third-party managed machine learning (ML) tools. In addition to this, this platform aids in analyzing consumer behavior and trends, collecting data, providing personalized access to centrally managed data groups, and offers advanced and interactive services. Consequently, it is widely adopted in the telecommunications and IT, retail, government, healthcare, and banking, financial services, and insurance (BFSI) industries.

Analytics as a Service (AaaS) Market Trends:

One of the key factors driving the global AaaS market growth is the emerging organizational need to update their services by better understanding system operations and customer behavior. In line with this, small- and medium-sized enterprises (SMEs) are widely adopting the technology to make data-driven decisions at lower costs, which is supporting the market growth. The demand for Aaas is also facilitated by the widespread adoption of social media applications, which has resulted in an increase in the volume of structured and unstructured data across platforms. Moreover, rapid automation across several industry verticals, along with the increasing utilization of predictive and historic data analysis by manufacturing facilities to avoid unexpected downtime, are acting as other growth-inducing factors. Apart from this, the increasing incorporation of the Internet of Things (IoT) and the proliferation of smartphones has enabled brands to simultaneously gather and store machine-generated data. This, in turn, is helping organizations in enhancing the performance of their internal assets, reducing operational costs, providing proactive customer support, and increasing the profit margin, thereby creating a positive outlook for the market.

Key Market Segmentation:

Breakup by Type:

Breakup by Component:

Breakup by Deployment Type:

Breakup by Enterprise Size:

Breakup by Industry Vertical:

Breakup by Region:

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Atos, Cloudera Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Company, Infosys Limited, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, ScienceSoft USA Corporation, Sisense, Teradata Corporation and Tibco Software Inc.

Key Questions Answered in This Report

Table of Contents

1 Preface

2 Scope and Methodology

3 Executive Summary

4 Introduction

5 Global Analytics as a Service (AaaS) Market

6 Market Breakup by Type

7 Market Breakup by Component

8 Market Breakup by Deployment Type

9 Market Breakup by Enterprise Size

10 Market Breakup by Industry Vertical

11 Market Breakup by Region

12 SWOT Analysis

13 Value Chain Analysis

14 Porters Five Forces Analysis

15 Price Analysis

16 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