½ÃÀ庸°í¼­
»óǰÄÚµå
1654655

¼¼°èÀÇ ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ½ÃÀå(2025-2033³â)

Global Healthcare Business Intelligence Market - 2025-2033

¹ßÇàÀÏ: | ¸®¼­Ä¡»ç: DataM Intelligence | ÆäÀÌÁö Á¤º¸: ¿µ¹® 192 Pages | ¹è¼Û¾È³» : 1-2ÀÏ (¿µ¾÷ÀÏ ±âÁØ)

    
    
    




¡á º¸°í¼­¿¡ µû¶ó ÃֽŠÁ¤º¸·Î ¾÷µ¥ÀÌÆ®ÇÏ¿© º¸³»µå¸³´Ï´Ù. ¹è¼ÛÀÏÁ¤Àº ¹®ÀÇÇØ Áֽñ⠹ٶø´Ï´Ù.

¼¼°èÀÇ ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ½ÃÀåÀº 2024³â¿¡ 85¾ï 1,000¸¸ ´Þ·¯·Î Æò°¡µÇ¾ú°í, 2033³â±îÁö´Â 165¾ï 3,000¸¸ ´Þ·¯¿¡ ´ÞÇÒ °ÍÀ¸·Î ¿¹ÃøµÇ¸ç, ¿¹Ãø ±â°£ Áß 2025³âºÎÅÍ 2033³â±îÁö CAGRÀº 7.5%·Î ¼ºÀåÇÒ Àü¸ÁÀÔ´Ï´Ù.

ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º´Â µ¥ÀÌÅÍ ºÐ¼® ¹× ¿©·¯ µ¥ÀÌÅÍ °úÇÐ ÇÁ·Î¼¼½º¸¦ »ç¿ëÇÏ¿© ÀüÀÚ °Ç°­ ±â·Ï, ½ÇÇè½Ç, ÀüÀÚ °Ç°­ ¾ÖÇø®ÄÉÀ̼Ç, ±â±â, ½º¸¶Æ® ¿þ¾î·¯ºí°ú °°Àº ÀÇ·á±â±â, Á¤ºÎ ±â°ü µî ¿©·¯ Ãâó¿¡¼­ ÀÇ·á µ¥ÀÌÅÍ ·Î±×¿¡ ¾×¼¼½ºÇÏ´Â °ÍÀ» ¹¦»çÇÕ´Ï´Ù. Ŭ¶ó¿ìµå µ¥ÀÌÅͺ£À̽º ¹èÆ÷´Â º¸´Ù ¾ÈÀüÇÏ°í ºñ¿ë È¿À²ÀûÀÎ µ¥ÀÌÅÍ ½ºÅ丮Áö¸¦ Á¦°øÇÒ ¼ö ÀÖÀ¸¸ç, µ¥ÀÌÅÍ ÀúÀå, ¼öÁý, ºÐ¼® ¹× 󸮸¦ Áö¿øÇÏ´Â µ¥ µµ¿òÀÌ µÉ ¼ö ÀÖ½À´Ï´Ù. Ŭ¶ó¿ìµå µ¥ÀÌÅͺ£À̽º´Â º´¿ø, Ŭ¸®´Ð, Æú¸®Å¬¸®´Ð, º¸Çèȸ»ç, ¿¬±¸±â°ü, Á¦¾àȸ»ç, °Ç°­ µ¥ÀÌÅÍ Ãë±Þ¿¡ ÁßÁ¡À» µÐ ¼ÒÇÁÆ®¿þ¾î ȸ»ç¿¡°Ô Å« ÀÌÁ¡À» Á¦°øÇÒ ¼ö ÀÖ½À´Ï´Ù.

½ÃÀå ¿ªÇÐ :

ÃËÁø¿äÀÎ ¹× ¾ïÁ¦¿äÀÎ

÷´Ü±â¼ú ä¿ë Áõ°¡

±â¼ú ¹× ÇコÄɾîÀÇ Áøº¸´Â ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º¿¡µµ ±âȸ¸¦ Á¦°øÇÕ´Ï´Ù. ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º »ç¾÷ÀÌ Á¸ÀçÇÏ´Â À¯ÀÏÇÑ ÀÌÀ¯´Â À繫¿Í ȯÀÚ °ü¸®ÀÇ ¾ç Ãø¸éÀ» °üÂûÇÏ´Â °ÍÀÔ´Ï´Ù. °Ô´Ù°¡ ÇコÄɾîÀÇ ¸¹Àº Ç÷§Æû°ú ±â¼úÀÇ º¸±Þ°ú »ó¿ëÀº ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º »ê¾÷ÀÇ È®´ë¸¦ µÞ¹ÞħÇϰí ÀÖ½À´Ï´Ù. °á°úÀûÀ¸·Î ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º Åø ¹× ±â¼ú¿¡¼­ ¾òÀº µ¥ÀÌÅÍ¿Í Åë°è´Â ¼ÒºñÀÚ¿¡°Ô ÃÖ»óÀÇ Ä¡·á ¹× ¼­ºñ½º¸¦ Á¦°øÇÕ´Ï´Ù.

¿¹¸¦ µé¾î, 2024³â 10¿ù, Oracle Analytics Intelligence for Life Sciences´Â AI¸¦ °®Ãá Ŭ¶ó¿ìµå ±Ô¸ðÀÇ µ¥ÀÌÅÍ ¹× ºÐ¼® Ç÷§ÆûÀ» ¹ßÇ¥Çß½À´Ï´Ù. ÀÌ ¼Ö·ç¼ÇÀ» ÅëÇØ ÇÐÁ¦ °£ ¿¬±¸ °úÁ¦¿¡ ´äÇϰí ÀλçÀÌÆ®¸¦ µµÃâÇÏ°í ±âÁ¸ Oracle Health and Life Sciences ¿ëµµ¿¡ ÅëÇÕÇÒ ¼ö ÀÖ½À´Ï´Ù. ÀÌ Çõ½ÅÀº ÀÓ»ó ¿¬±¸¿Í ÀÓ»ó Ä¡·áÀÇ °ÝÂ÷¸¦ ¸Þ¿ì´Â OracleÀÇ ºñÀüÀ» ½ÇÇöÇϱâ À§ÇÑ »õ·Î¿î ´Ü°èÀÔ´Ï´Ù.

³ôÀº ±¸Çö ºñ¿ë

¼¼°èÀÇ ÇコÄÉ¾î ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ½ÃÀåÀÇ ¼ºÀåÀº µµÀÔ ºñ¿ëÀÇ ³ôÀÌ¿¡ Å©°Ô ¿µÇâÀ» ¹Þ½À´Ï´Ù. ƯÈ÷ Áß¼Ò±Ô¸ð ÀÇ·á ½Ã¼³ÀÇ °æ¿ì ÃֽмÒÇÁÆ®¿þ¾î ¼Ö·ç¼Ç, µ¥ÀÌÅÍ ÅëÇÕ ¹× ÀÎÇÁ¶ó °³¼±°ú °ü·ÃµÈ ºñ¿ëÀº ¾öû³ª°Ô ³ô½À´Ï´Ù. ¶ÇÇÑ ºñÁî´Ï½º ÀÎÅÚ¸®Àü½º ±â¼úÀ» ¿î¿µÇÏ°í °ü¸®ÇÏ´Â À¯ÀÚ°ÝÀÚÀÇ Çʿ伺µµ ºñ¿ëÀ» ²ø¾î¿Ã¸®´Â ¿äÀÎÀÌ µÇ°í ÀÖ½À´Ï´Ù. ÀÌ·¯ÇÑ °æÁ¦Àû Àå¾Ö´Â µµÀÔ·üÀ» ÀúÇϽÃų ¼ö ÀÖ¾î ±â¾÷ÀÌ µ¥ÀÌÅͷκÎÅÍ ¾òÀº ÀλçÀÌÆ®¸¦ º¸´Ù ÁÁÀº ¾÷¹« È¿À², ȯÀÚÀÇ °á°ú, ÀÇ»ç°áÁ¤¿¡ Ȱ¿ëÇÏ´Â ´É·ÂÀ» Á¦ÇÑÇÏ°Ô µË´Ï´Ù.

¸ñÂ÷

Á¦1Àå Á¶»ç ¹æ¹ý ¹× Á¶»ç ¹üÀ§

Á¦2Àå Á¤ÀÇ ¹× °³¿ä

Á¦3Àå ÁÖ¿ä ¿ä¾à

Á¦4Àå ½ÃÀå ¿ªÇÐ

  • ¿µÇâ¿äÀÎ
    • ¼ºÀå ÃËÁø¿äÀÎ
      • ÷´Ü ±â¼ú µµÀÔ Áõ°¡
    • ¼ºÀå ¾ïÁ¦¿äÀÎ
      • ³ôÀº µµÀÔ ºñ¿ë
    • ±âȸ
    • ¿µÇ⠺м®

Á¦5Àå »ê¾÷ ºÐ¼®

  • Porter's Five Forces ºÐ¼®
  • °ø±Þ¸Á ºÐ¼®
  • °¡°Ý ºÐ¼®
  • ±ÔÁ¦ ºÐ¼®

Á¦6Àå ÄÄÆ÷³ÍÆ®º°

  • ¼ÒÇÁÆ®¿þ¾î
  • Ç÷§Æû
  • ¼­ºñ½º

Á¦7Àå ±â´Éº°

  • Äõ¸® º¸°í¼­
  • OLAP(¿Â¶óÀÎ ºÐ¼® ó¸®) ¹× ½Ã°¢È­
  • ÆÛÆ÷¸Õ½º °ü¸®
  • µ¥ÀÌÅÍ ÅëÇÕ ¹× ETL(ÃßÃâ, º¯È¯, ·Îµå)

Á¦8Àå Àü°³º°

  • ¿ÂÇÁ·¹¹Ì½º
  • Ŭ¶ó¿ìµå ±â¹Ý

Á¦9Àå ¿ëµµº°

  • ÀÓ»ó ºÐ¼®
  • À繫 ºÐ¼®
  • ¿î¿ë ºÐ¼®

Á¦10Àå ÃÖÁ¾ »ç¿ëÀÚº°

  • º´¿ø ¹× Áø·á¼Ò
  • ÀÇ·á Á¦°øÀÚ
  • ÁöºÒÀÚ(º¸Çèȸ»ç)
  • Á¦¾à ¹× ¹ÙÀÌ¿ÀÅ×Å©³î·¯Áö ±â¾÷

Á¦11Àå Áö¿ªº°

  • ºÏ¹Ì
    • ¹Ì±¹
    • ij³ª´Ù
    • ¸ß½ÃÄÚ
  • À¯·´
    • µ¶ÀÏ
    • ¿µ±¹
    • ÇÁ¶û½º
    • ½ºÆäÀÎ
    • ÀÌÅ»¸®¾Æ
    • ±âŸ À¯·´
  • ³²¹Ì
    • ºê¶óÁú
    • ¾Æ¸£ÇîÆ¼³ª
    • ±âŸ ³²¹Ì
  • ¾Æ½Ã¾ÆÅÂÆò¾ç
    • Áß±¹
    • Àεµ
    • ÀϺ»
    • Çѱ¹
    • ±âŸ ¾Æ½Ã¾ÆÅÂÆò¾ç
  • Áßµ¿ ¹× ¾ÆÇÁ¸®Ä«

Á¦12Àå °æÀï ±¸µµ

  • °æÀï ½Ã³ª¸®¿À
  • ½ÃȲ ¹× Á¡À¯À² ºÐ¼®
  • M&A ºÐ¼®

Á¦13Àå ±â¾÷ ÇÁ·ÎÆÄÀÏ

  • IBM Corporation
    • ±â¾÷ °³¿ä
    • Á¦Ç° Æ÷Æ®Æú¸®¿À
      • Á¦Ç° ¼³¸í
      • Á¦Ç°ÀÇ ÁÖ¿ä ½ÇÀû Æò°¡ ÁöÇ¥(KPI)
      • °ú°Å ¹× ¿¹ÃøÀÇ Á¦Ç° ÆÇ¸Å
      • Á¦Ç° ÆÇ¸Å·®
    • À繫 °³¿ä
      • ȸ»ç ¼öÀÍ
      • Áö¿ªº° ¼öÀͺйè
      • ¼öÀÍ ¿¹Ãø
    • ÁÖ¿ä ¹ßÀü
      • ÇÕº´ ¹× Àμö
      • ÁÖ¿ä Á¦Ç° °³¹ß Ȱµ¿
      • ±ÔÁ¦ ´ç±¹ÀÇ ½ÂÀÎ µî
    • SWOT ºÐ¼®
  • Microsoft Corporation
  • Oracle Corporation
  • SAS Institute Inc
  • Tableau Software(Salesforce)
  • SAP SE
  • Qlik Technologies, Inc
  • Infor, Inc
  • MicroStrategy Incorporated
  • Sisense Inc
  • Domo, Inc
    • ÆÄÀÌÇÁ¶óÀÎ Á¦Ç° ¼³¸í
    • Á¦Ç°ÀÇ ÁÖ¿ä ½ÇÀû Æò°¡ ÁöÇ¥(KPI)
    • ÁÖ¿ä Ȱµ¿
    • ½ÃÀå ÁøÀÔÀÇ Å¸ÀÓ¶óÀÎ
    • Á¦Ç° º¸±Þ·ü
    • ¸ÅÃâ ¿¹Ãø ¹× ¿¹Ãø
  • Yellowfin BI
  • Datapine GmbH
  • °¢ ½ÃÀå ÁøÃâ±â¾÷¿¡ ´ëÇØ¼­µµ À¯»çÇÑ µ¥ÀÌÅͰ¡ Á¦°øµË´Ï´Ù.

Á¦14Àå ºÎ·Ï

AJY 25.03.17

The Global Healthcare Business Intelligence Market reached US$ 8.51 billion in 2024 and is expected to reach US$ 16.53 billion by 2033, growing at a CAGR of 7.5% during the forecast period 2025-2033.

Business Intelligence Healthcare depicts accessing healthcare data logs from many sources-including electronic health records, laboratories, eHealth applications, and devices, and medical equipment such as smart wearables and government agencies by using data analytics and multiple data science processes. The implementation of a cloud database can potentially provide more secure and cost-effective data storage, which may help to support the storage, collection, analysis, and processing of data. The data held could generate extensive benefits for hospitals, clinics, polyclinics, insurance companies, research organizations, pharmaceutical companies, and any software companies that thrive on handling health data.

Market Dynamics: Drivers & Restraints

Rise in the Adoption of Advanced Technologies

Advances in technology, and in health care, present opportunities for the health business intelligence business as well. The only reason for the existence of the health business intelligence business is the observation of both financial and patient care aspects. Furthermore, the growing and regular use of many platforms and technologies in healthcare is driving expansion of the health business intelligence industry. Consequently, some of the best treatments and services for consumers are made possible by the data and statistics acquired by means of health business intelligence tools and technologies.

For instance, in October 2024, Oracle Analytics Intelligence for Life Sciences announced AI-empowered, cloud-scale, data/analytics platform simplifies and accelerates insight generation by unifying disparate data sets into a single, intelligent workbench. The solution enables them to answer multidisciplinary research questions, derive insights, and integrate these into existing Oracle Health and Life Sciences applications. This innovation is yet another step toward realizing Oracle's vision of closing the gap between clinical research and clinical care.

High Implementation Costs

Global healthcare business intelligence market growth is greatly influenced by high implementation costs. Particularly for small and medium-sized healthcare facilities, the costs linked with modern software solutions, data integration, and infrastructure improvements might be prohibitive. Further driving expenses are the need of qualified individuals running and controlling business intelligence technologies. These financial obstacles might slow down adoption rates, therefore restricting the capacity of companies to use insights derived from data for better operational effectiveness, patient outcomes, and decision-making.

Segment Analysis

The global Healthcare Business Intelligence market is segmented based on Component, Functionality, Deployment, Application, End User and Region.

Component:

Softwares segment is expected to dominate the Healthcare Business Intelligence market share

Software solutions are a critical factor in the healthcare business intelligence market, as they allow healthcare organizations to analyze large volumes of data in an efficient manner. Advanced business intelligence software is in high demand because of the growing prevalence of electronic health records (EHRs) and the necessity for predictive analytics to enhance patient outcomes. Additionally, the integration of machine learning (ML) and artificial intelligence (AI) into business intelligence (BI) tools is improving the capacity to make decisions, resulting in increased efficiency and cost savings. The software segment's capacity to facilitate value-based care initiatives, streamline operations, and provide real-time insights has caused it to continue to prosper.

For instance, in September 2024, The AI-enabled features for industry specifics are new to be made available by Salesforce through Health Cloud. These features can improve quality and efficiency in patient care by relieving them of tedious tasks through automation. The new artificial intelligence competencies have been placed by Salesforce in each of its fifteen industry applications under a broader initiative to resolve organizational pain areas across fifteen industries. It employs Einstein Copilot to allow healthcare organizations to summarize patient information in natural language.

End User:

Hospitals and Clinics segment is expected to dominate the Healthcare Business Intelligence market share

The hospitals and clinics segment holds a major portion of the Healthcare Business Intelligence market share and is expected to continue to hold a significant portion of the Healthcare Business Intelligence market share during the forecast period.

Hospitals and clinics drive growth in the healthcare business intelligence market. These institutions are reliant on BI tools for resource allocation, patient care, and operational cost savings. On the other hand, the personal medicine and population health management trends keep pushing hospitals and clinics to adopt data-driven solutions.

For instance, in November 2024, Konica Minolta Healthcare Americas, Inc., an eminent player and world leader in medical diagnostic imaging and healthcare information technology, announced the launch of Exa Enterprise-a new enterprise imaging solution with integrated PACS/RIS core powered by Amazon Web Services (AWS). Targeted at hospitals with a maximum bed capacity of 500 and hospital-owned large imaging centers, Exa Enterprise integrates the best from third-party partners for vendor neutral archive (VNA), universal viewer, advanced visualization, image sharing, AI-enabled workflow orchestration, business intelligence, and speech and reporting.

Geographical Analysis

North America is expected to hold a significant position in the Healthcare Business Intelligence market share

North America holds a substantial position in the Healthcare Business Intelligence market and is expected to hold most of the market share due to the significant advancements, advanced healthcare infrastructure, rise in the investments on business intelligence, novel launches, government initivatives and also presence of major market players help the region to grow during the forecast period.

For instance, in October 2024, Weave, a well-known development in customer experience-technology-as-a-service and payment platforms worldwide, is announced the launch of its revolutionary AI-driven Call Intelligence product. With this revolutionary application, healthcare practices can now gain insight into call data and become able to improve their patient experience, enhance the efficiency of operations, and create new sources of revenue.

Europe is growing at the fastest pace in the Healthcare Business Intelligence market

Europe holds the fastest pace in the Healthcare Business Intelligence market and is expected to hold most of the market share due to accelerated regulatory frameworks stressing data accuracy and protection requirements, there has also been an increase in the demand for data analytics in response to an aging population. Countries such as Germany, the UK, and France are among the early adopters because of their focused digital health transformation roadmaps and national-level healthcare IT strategies.

Competitive Landscape

The major global players in the Healthcare Business Intelligence market include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAS Institute Inc, Tableau Software (Salesforce), SAP SE, Qlik Technologies, Inc, Infor, Inc, MicroStrategy Incorporated, Sisense Inc and among others.

Key Developments

  • In October 2024, Clarify Health, which has received several awards for its work, is a healthcare data and analytics company. It has launched the Clarify Performance IQ Suite, the world's first AI-enabled application for opportunity analytics that covers cost, quality, and utilization. The core technologies characterizing the Performance IQ Suite are machine learning and natural language processing, offering health plans and other stakeholders' unique insights to curtail costs, enhance quality of care, and secure a competitive advantage.
  • In June 2024, SoftBank Group Corp announced the establishment of a joint venture "SB TEMPUS Corp." with Tempus AI, Inc., a leader in artificial intelligence and precision medicine. The joint venture agreement was entered into in May 2024, and closing of the joint venture is expected, subject to customary closing conditions, to proceed as early as July 2024, at which time each party will invest an amount of JPY15.0 billion.

Why Purchase the Report?

  • Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
  • Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
  • Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
  • Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
  • Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
  • Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
  • Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
  • Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
  • Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
  • Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
  • Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
  • Post-market Surveillance: Uses post-market data to enhance product safety and access.
  • Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global Healthcare Business Intelligence market report delivers a detailed analysis with 62 key tables, more than 56 visually impactful figures, and 192 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2024

  • Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
  • Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
  • Deployment & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
  • Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
  • Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
  • Supply Chain: Distribution and Supply Chain Managers.
  • Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
  • Academic & Research: Academic Institutions.

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by Functionality
  • 3.3. Snippet by Deployment
  • 3.4. Snippet by Application
  • 3.5. Snippet by End User
  • 3.6. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rise in the Adoption of Advanced Technologies
    • 4.1.2. Restraints
      • 4.1.2.1. High Implementation Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. By Component

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 6.1.2. Market Attractiveness Index, By Component
  • 6.2. Software*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 6.3. Platforms
  • 6.4. Services

7. By Functionality

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 7.1.2. Market Attractiveness Index, By Functionality
  • 7.2. Query and Reporting*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. OLAP (Online Analytical Processing) and Visualization
  • 7.4. Performance Management
  • 7.5. Data Integration and ETL (Extract, Transform, Load)

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. On-Premise*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Cloud-Based

9. By Application

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 9.1.2. Market Attractiveness Index, By Application
  • 9.2. Clinical Analytics*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Financial Analytics
  • 9.4. Operational Analytics

10. By End User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 10.1.2. Market Attractiveness Index, By End User
  • 10.2. Hospitals and Clinics*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Healthcare Providers
  • 10.4. Payers (Insurance Companies)
  • 10.5. Pharmaceutical and Biotechnology Companies

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.8.1. U.S.
      • 11.2.8.2. Canada
      • 11.2.8.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.8.1. Germany
      • 11.3.8.2. U.K.
      • 11.3.8.3. France
      • 11.3.8.4. Spain
      • 11.3.8.5. Italy
      • 11.3.8.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.8.1. Brazil
      • 11.4.8.2. Argentina
      • 11.4.8.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
    • 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.8.1. China
      • 11.5.8.2. India
      • 11.5.8.3. Japan
      • 11.5.8.4. South Korea
      • 11.5.8.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Functionality
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

Key Market Players

  • 13.1. IBM Corporation*
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio
      • 13.1.2.1. Product Description
      • 13.1.2.2. Product Key Performance Indicators (KPIs)
      • 13.1.2.3. Historic and Forecasted Product Sales
      • 13.1.2.4. Product Sales Volume
    • 13.1.3. Financial Overview
      • 13.1.3.1. Company Revenue's
      • 13.1.3.2. Geographical Revenue Shares
      • 13.1.3.3. Revenue Forecasts
    • 13.1.4. Key Developments
      • 13.1.4.1. Mergers & Acquisitions
      • 13.1.4.2. Key Product Development Activities
      • 13.1.4.3. Regulatory Approvals etc.
    • 13.1.5. SWOT Analysis
  • 13.2. Microsoft Corporation
  • 13.3. Oracle Corporation
  • 13.4. SAS Institute Inc
  • 13.5. Tableau Software (Salesforce)
  • 13.6. SAP SE
  • 13.7. Qlik Technologies, Inc
  • 13.8. Infor, Inc
  • 13.9. MicroStrategy Incorporated
  • 13.10. Sisense Inc
  • Similar data will be provided for each market player.

Emerging Market Players

  • 13.11. Domo, Inc*
    • 13.11.1. Pipeline Products Description
    • 13.11.2. Product Key Performance Indicators (KPIs)
    • 13.11.3. Key Activities
    • 13.11.4. Market Entry Timelines
    • 13.11.5. Product Penetration Rate
    • 13.11.6. Sales Estimation and Projections
  • 13.12. Yellowfin BI
  • 13.13. Datapine GmbH
  • Similar data will be provided for each market player.

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us
ºñ±³¸®½ºÆ®
0 °ÇÀÇ »óǰÀ» ¼±Åà Áß
»óǰ ºñ±³Çϱâ
Àüü»èÁ¦