세계의 데이터 융합 시장 규모, 점유율, 동향 분석 보고서 : 전개 유형별, 컴포넌트별, 비즈니스 기능별, 조직 규모별, 업계별, 지역별 전망 및 예측(2024-2031년)
Global Data Fusion Market Size, Share & Trends Analysis Report By Deployment Type (On-premise, and Cloud), By Component, By Business Function, By Organization Size, By Vertical, By Regional Outlook and Forecast, 2024 - 2031
상품코드:1645315
리서치사:KBV Research
발행일:2025년 01월
페이지 정보:영문 384 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계 데이터 융합 시장 규모는 예측 기간 동안 14.8%의 연평균 복합 성장률(CAGR)로 성장하여 2031년까지 577억 2,000만 달러에 달할 것으로 예상됩니다.
또한, 전 세계 산업이 경쟁과 데이터 중심이 되면서 실시간 데이터 분석의 필요성이 급증하고 있습니다. 금융, 헬스케어, 물류, 소매 등의 분야에서는 경쟁력을 유지하기 위해 실시간으로 의사결정을 내려야 합니다. 이러한 기술을 통해 조직은 IoT 기기, 트랜잭션 시스템, 소셜 미디어 등 다양한 소스로부터 데이터를 통합하여 적시에 의사결정을 내릴 수 있는 즉각적인 통찰력을 제공할 수 있습니다. 따라서 실시간 데이터 분석 및 의사결정에 대한 필요성이 증가하면서 시장 성장을 가속하고 있습니다.
그러나 이러한 기술은 큰 이점을 제공하지만, 특히 중소기업의 경우 구현 비용이 큰 장벽이 될 수 있습니다. 여러 데이터 소스를 통합하려면 인프라, 소프트웨어, 숙련된 인력에 대한 막대한 투자가 필요합니다. 기업은 필요한 하드웨어 및 스토리지 솔루션에 투자해야 할 뿐만 아니라, 복잡하고 비용이 많이 드는 고급 데이터 처리 도구와 알고리즘을 도입해야 합니다. 따라서 이러한 기술 구현과 관련된 높은 비용이 시장 성장을 저해하는 요인으로 작용하고 있습니다.
전개 유형 전망
배포 모드에 따라 이 시장은 클라우드와 온프레미스로 구분되며, 2023년 클라우드 부문은 이 시장에서 25%의 매출 점유율을 기록할 것으로 예상됩니다. 클라우드 컴퓨팅의 채택이 증가함에 따라 기업들이 데이터 관리를 위해 확장 가능하고 유연하며 비용 효율적인 솔루션을 찾고 있기 때문에 클라우드 부문의 우위에 크게 기여했습니다. 클라우드 기반 데이터 융합 플랫폼을 통해 조직은 대규모 현장 인프라 없이도 다양한 소스의 데이터를 실시간으로 통합할 수 있습니다.
컴포넌트 전망
구성 요소에 따라 이 시장은 도구와 서비스로 나뉘며, 2023년에는 서비스 부문이 이 시장에서 47%의 매출 점유율을 차지할 것으로 예상됩니다. 이러한 서비스에는 컨설팅, 시스템 통합, 지속적인 유지보수가 포함되며, 기업이 데이터 융합에 대한 투자를 최대한 활용하여 운영 효율성과 전략적 성장을 향상시킬 수 있도록 도와줍니다. 조직이 데이터 중심 전략을 우선시함에 따라 툴을 보완하는 서비스의 역할이 점점 더 중요해지고 있습니다.
비즈니스 기능 전망
비즈니스 기능에 따라 이 시장은 정보 기술, 영업 및 마케팅, 금융, 운영 및 기타로 분류됩니다. 정보 기술 부문은 2023년 이 시장에서 27%의 매출 점유율을 기록했습니다. 업계 전반의 IT 부서는 클라우드 플랫폼, 데이터베이스, IoT 장치 등 다양한 소스의 데이터를 통합하고 분석하기 위해 데이터 융합 기술을 점점 더 많이 활용하고 있습니다. 이를 통해 조직은 디지털 혁신 노력을 강화하고, 데이터 기반 의사결정을 개선하며, 업무를 간소화할 수 있습니다.
조직 규모 전망
조직 규모에 따라 이 시장은 중소기업과 대기업으로 분류됩니다. 중소기업 부문은 2023년 27%의 매출 점유율을 기록할 것으로 예상됩니다. 중소기업은 경쟁력을 유지하고 데이터 기반 의사결정을 내리기 위해 이러한 기술을 채택하는 경향이 증가하고 있습니다. 중소기업의 경우, 이러한 솔루션은 다양한 소스의 데이터를 통합하고 분석할 수 있는 확장 가능하고 비용 효율적인 방법을 제공하여 고객 통찰력, 운영 프로세스 및 전반적인 비즈니스 민첩성을 향상시킬 수 있는 경우가 많습니다.
산업 전망
이 시장은 산업별로 BFSI, 정부, 에너지 및 유틸리티, 헬스케어, 제조, 소매 및 소비재, 통신 및 IT, 기타로 분류됩니다. 2023년에는 정부 부문이 이 시장에서 16%의 수익 점유율을 차지할 것으로 예상됩니다. 모든 수준의 정부는 공공 서비스 개선, 자원 할당 최적화, 의사 결정 강화, 투명성 확보를 위해 데이터 융합을 채택하는 경향이 증가하고 있습니다. 건강, 교통, 보안 등 다양한 부문의 데이터를 통합하고 분석하여 보다 효과적인 거버넌스 및 정책 수립을 제공해야 합니다.
지역 전망
지역별로 이 시장은 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카에 걸쳐 분석되었습니다. 아시아태평양은 2023년 이 시장에서 25%의 매출 점유율을 차지할 것으로 예상됩니다. 이 지역의 급속한 산업화, 디지털화 발전, 스마트 기술 채택 증가가 이러한 성장에 기여했습니다. 중국, 인도, 일본과 같은 국가들은 특히 헬스케어, 제조, 소매 등의 분야에서 데이터 기반 솔루션에 많은 투자를 하고 있으며, 전자상거래의 부상, 통신 네트워크의 확장, 스마트 시티에 대한 관심이 높아짐에 따라 데이터 융합 기술에 대한 수요도 증가하고 있습니다. 수요를 촉진하고 있습니다.
목차
제1장 시장 범위와 조사 방법
시장의 정의
목적
시장 범위
세분화
조사 방법
제2장 시장 요람
주요 하이라이트
제3장 시장 개요
서론
개요
시장 구성과 시나리오
시장에 영향을 미치는 주요 요인
시장 성장 촉진요인
시장 성장 억제요인
시장 기회
시장이 해결해야 할 과제
제4장 경쟁 분석 - 세계
시장 점유율 분석, 2023년
데이터 융합 시장에서 전개되고 있는 최근 전략
Porter의 Five Forces 분석
제5장 세계 데이터 융합 시장 : 전개 유형별
세계의 온프레미스 시장 : 지역별
세계의 클라우드 시장 : 지역별
제6장 세계 데이터 융합 시장 : 컴포넌트별
세계의 툴 시장 : 지역별
세계의 서비스 시장 : 지역별
세계의 데이터 융합 시장 : 서비스 유형별
제7장 세계 데이터 융합 시장 : 비즈니스 기능별
세계의 금융 시장 : 지역별
세계의 정보기술 시장 : 지역별
세계의 세일즈 및 마케팅 시장 : 지역별
세계의 오퍼레이션 시장 : 지역별
세계의 기타 비즈니스 기능 시장 : 지역별
제8장 세계 데이터 융합 시장 : 조직 규모별
세계의 대기업 시장 : 지역별
세계의 중소기업 시장 : 지역별
제9장 세계 데이터 융합 시장 : 업계별
세계의 은행/금융서비스/보험(BFSI) 시장 : 지역별
세계의 정부 시장 : 지역별
세계의 에너지 및 유틸리티 시장 : 지역별
세계의 헬스케어 시장 : 지역별
세계의 제조 시장 : 지역별
세계의 소매 및 소비재 시장 : 지역별
세계의 통신 및 IT 시장 : 지역별
세계의 기타 업계 시장 : 지역별
제10장 세계 데이터 융합 시장 : 지역별
북미
북미의 데이터 융합 시장 : 국가별
미국
캐나다
멕시코
기타 북미
유럽
유럽의 데이터 융합 시장 : 국가별
독일
영국
프랑스
러시아
스페인
이탈리아
기타 유럽
아시아태평양
아시아태평양의 데이터 융합 시장 : 국가별
중국
일본
인도
한국
호주
말레이시아
기타 아시아태평양
라틴아메리카/중동 및 아프리카
라틴아메리카/중동 및 아프리카의 데이터 융합 시장 : 국가별
브라질
아르헨티나
아랍에미리트(UAE)
사우디아라비아
남아프리카공화국
나이지리아
기타 라틴아메리카/중동 및 아프리카
제11장 기업 개요
IBM Corporation
Esri, Inc
Teradata Corporation
Amazon Web Services, Inc(Amazon.com, Inc.)
Microsoft Corporation
Oracle Corporation
Rockwell Automation, Inc
SAP SE
Inrix, Inc
Google LLC(Alphabet Inc)
제12장 데이터 융합 시장을 위한 성공 필수 조건
LSH
영문 목차
영문목차
The Global Data Fusion Market size is expected to reach $57.72 billion by 2031, rising at a market growth of 14.8% CAGR during the forecast period.
The North America region witnessed 40% revenue share in this market in 2023. The dominance of North America in this market can be attributed to the high adoption of advanced technologies, the presence of major tech companies, and the significant investments in digital transformation across industries such as finance, healthcare, and manufacturing. The region is home to a number of large enterprises that require sophisticated these solutions to manage complex data from various sources.
The rapid evolution of cloud computing and big data technologies has revolutionized the way organizations manage and process data. Cloud platforms, such as AWS, Microsoft Azure, and Google Cloud, provide scalable and flexible infrastructure, enabling businesses to store massive amounts of data without the need for on-premise hardware. This accessibility to data storage and computational power makes it easier for businesses to implement these technologies. In conclusion, rise of cloud computing and big data technologies is driving the growth of the market.
Additionally, As industries across the globe become more competitive and data-driven, the need for real-time data analytics has surged. In sectors like finance, healthcare, logistics, and retail, decisions need to be made in real-time to maintain a competitive edge. These technologies enable organizations to aggregate data from multiple sources, such as IoT devices, transactional systems, and social media, and provide instant insights that drive timely decision-making. Therefore, growing need for real-time data analytics and decision making is propelling the growth of the market.
However, While these technologies offer substantial benefits, the cost of implementation can be a significant barrier, especially for small and medium-sized enterprises (SMEs). The integration of multiple data sources requires substantial investments in infrastructure, software, and skilled personnel. Companies must not only invest in the necessary hardware and storage solutions but also adopt advanced data processing tools and algorithms that are often complex and costly. Thus, high costs associated with implementing these technologies is impeding the growth of the market.
Deployment Type Outlook
By deployment mode, this market is divided into cloud and on-premise. In 2023, the cloud segment registered 25% revenue share in this market. The growing adoption of cloud computing has significantly contributed to the cloud segment's dominance, as businesses increasingly seek scalable, flexible, and cost-effective solutions for managing their data. Cloud-based data fusion platforms allow organizations to integrate data from various sources in real time, without the need for extensive on-site infrastructure.
Component Outlook
Based on component, this market is divided into tools and services. In 2023, the services segment acquired 47% revenue share in this market. These services include consulting, system integration, and ongoing maintenance, ensuring that businesses can fully leverage their data fusion investments for improved operational efficiency and strategic growth. As organizations prioritize data-driven strategies, the role of services in complementing tools has become increasingly prominent.
Business Function Outlook
On the basis of business function, this market is segmented into Information technology, sales & marketing, finance, operations, and others. The Information technology segment recorded 27% revenue share in this market in 2023. IT departments across industries are increasingly leveraging data fusion technologies to integrate and analyze data from various sources, including cloud platforms, databases, and IoT devices. This enables organizations to enhance their digital transformation efforts, improve data-driven decision-making, and streamline their operations.
Organization Size Outlook
Based on organization size, this market is categorized into small & medium enterprises and large enterprises. The small & medium enterprises segment witnessed 27% revenue share in the in 2023. SMEs are increasingly adopting these technologies to stay competitive and make data-driven decisions. For SMEs, these solutions often offer scalable, cost-effective ways to integrate and analyze data from various sources, improving customer insights, operational processes, and overall business agility.
Vertical Outlook
Based on vertical, this market is divided into BFSI, government, energy & utilities, healthcare, manufacturing, retail & consumer goods, telecom & IT, and others. In 2023, the government segment procured 16% revenue share in this market. Governments at all levels are increasingly adopting data fusion to improve public services, optimize resource allocation, enhance decision-making, and ensure transparency. Data from various departments, such as health, transportation, and security, need to be integrated and analyzed to provide more effective governance and policy-making.
Regional Outlook
Region-wise, this market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific region generated 25% revenue share in this market in 2023. The region's rapid industrialization, increasing digitalization, and growing adoption of smart technologies contributed to this growth. Countries like China, India, and Japan are witnessing significant investments in data-driven solutions, particularly in sectors such as healthcare, manufacturing, and retail. The rise of e-commerce, the expansion of telecom networks, and the growing emphasis on smart cities in the region have also spurred the demand for data fusion technologies.
Recent Strategies Deployed in the Market
Dec-2024: IBM Corporation announced the partnership with UKAEA and STFC, which aims to revolutionize fusion powerplant design by leveraging AI, exascale computing, and high-fidelity simulations. By utilizing data from past experiments and integrating AI for predictive modeling, the collaboration seeks to accelerate fusion development, reduce test-based design, and support Net Zero energy goals.
Sep-2024: Oracle Corporation unveiled new AI-driven features for Oracle Fusion Data Intelligence, enhancing Oracle Fusion Cloud HCM and SCM with intelligent applications that recommend actions. These capabilities improve decision-making, streamline operations, and support integration with Salesforce CRM. Additional AI/ML tools, including a developer assistant, will accelerate data integration and actionable insights.
Oct-2023: Teradata Corporation and ActionIQ have launched a joint offering for marketing and customer experience activations, integrating VantageCloud and ActionIQ's customer experience apps. The collaboration enables businesses to access and control customer data, enhancing decision-making, customer engagement, and retention through advanced analytics, AI/ML, and self-service data access for marketers.
Oct-2023: Amazon Web Services, Inc. unveiled DataZone, a new data management service that offers data governance, collaboration, and catalog features. This service helps organizations discover, manage, and operationalize data, enabling them to use it effectively for informed decision-making.
Oct-2022: Rockwell Automation, Inc. teamed up with Cognite to unlock the value of manufacturing data and drive technological change. The collaboration combines Rockwell's FactoryTalk software with Cognite's Data Fusion platform, creating an industrial data hub for scalable, real-time decision-making and enhanced workflows across industries.
List of Key Companies Profiled
IBM Corporation
Esri, Inc.
Teradata Corporation
Amazon Web Services, Inc. (Amazon.com, Inc.)
Microsoft Corporation
Oracle Corporation
Rockwell Automation, Inc.
SAP SE
INRIX, Inc.
Google LLC (Alphabet Inc.)
Global Data Fusion Market Report Segmentation
By Deployment Type
On-premise
Cloud
By Component
Tools
Services
Managed Services
Professional Services
By Business Function
Finance
Information Technology
Sales & Marketing
Operations
Other Business Function
By Organization Size
Large Enterprises
Small & Medium Enterprises
By Vertical
BFSI
Government
Energy & Utilities
Healthcare
Manufacturing
Retail & Consumer Goods
Telecom & IT
Other Vertical
By Geography
North America
US
Canada
Mexico
Rest of North America
Europe
Germany
UK
France
Russia
Spain
Italy
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Australia
Malaysia
Rest of Asia Pacific
LAMEA
Brazil
Argentina
UAE
Saudi Arabia
South Africa
Nigeria
Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Data Fusion Market, by Deployment Type
1.4.2 Global Data Fusion Market, by Component
1.4.3 Global Data Fusion Market, by Business Function
1.4.4 Global Data Fusion Market, by Organization Size
1.4.5 Global Data Fusion Market, by Vertical
1.4.6 Global Data Fusion Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Recent Strategies Deployed in Data Fusion Market
4.3 Porter Five Forces Analysis
Chapter 5. Global Data Fusion Market by Deployment Type
5.1 Global On-premise Market by Region
5.2 Global Cloud Market by Region
Chapter 6. Global Data Fusion Market by Component
6.1 Global Tools Market by Region
6.2 Global Services Market by Region
6.3 Global Data Fusion Market by Services Type
6.3.1 Global Managed Services Market by Region
6.3.2 Global Professional Services Market by Region
Chapter 7. Global Data Fusion Market by Business Function
7.1 Global Finance Market by Region
7.2 Global Information Technology Market by Region
7.3 Global Sales & Marketing Market by Region
7.4 Global Operations Market by Region
7.5 Global Other Business Function Market by Region
Chapter 8. Global Data Fusion Market by Organization Size
8.1 Global Large Enterprises Market by Region
8.2 Global Small & Medium Enterprises Market by Region
Chapter 9. Global Data Fusion Market by Vertical
9.1 Global BFSI Market by Region
9.2 Global Government Market by Region
9.3 Global Energy & Utilities Market by Region
9.4 Global Healthcare Market by Region
9.5 Global Manufacturing Market by Region
9.6 Global Retail & Consumer Goods Market by Region
9.7 Global Telecom & IT Market by Region
9.8 Global Other Vertical Market by Region
Chapter 10. Global Data Fusion Market by Region
10.1 North America Data Fusion Market
10.1.1 North America Data Fusion Market by Deployment Type
10.1.1.1 North America On-premise Market by Region
10.1.1.2 North America Cloud Market by Region
10.1.2 North America Data Fusion Market by Component
10.1.2.1 North America Tools Market by Country
10.1.2.2 North America Services Market by Country
10.1.2.3 North America Data Fusion Market by Services Type
10.1.2.3.1 North America Managed Services Market by Country
10.1.2.3.2 North America Professional Services Market by Country
10.1.3 North America Data Fusion Market by Business Function
10.1.3.1 North America Finance Market by Country
10.1.3.2 North America Information Technology Market by Country
10.1.3.3 North America Sales & Marketing Market by Country
10.1.3.4 North America Operations Market by Country
10.1.3.5 North America Other Business Function Market by Country
10.1.4 North America Data Fusion Market by Organization Size
10.1.4.1 North America Large Enterprises Market by Country
10.1.4.2 North America Small & Medium Enterprises Market by Country
10.1.5 North America Data Fusion Market by Vertical
10.1.5.1 North America BFSI Market by Country
10.1.5.2 North America Government Market by Country
10.1.5.3 North America Energy & Utilities Market by Country
10.1.5.4 North America Healthcare Market by Country
10.1.5.5 North America Manufacturing Market by Country
10.1.5.6 North America Retail & Consumer Goods Market by Country
10.1.5.7 North America Telecom & IT Market by Country
10.1.5.8 North America Other Vertical Market by Country
10.1.6 North America Data Fusion Market by Country
10.1.6.1 US Data Fusion Market
10.1.6.1.1 US Data Fusion Market by Deployment Type
10.1.6.1.2 US Data Fusion Market by Component
10.1.6.1.3 US Data Fusion Market by Business Function
10.1.6.1.4 US Data Fusion Market by Organization Size
10.1.6.1.5 US Data Fusion Market by Vertical
10.1.6.2 Canada Data Fusion Market
10.1.6.2.1 Canada Data Fusion Market by Deployment Type
10.1.6.2.2 Canada Data Fusion Market by Component
10.1.6.2.3 Canada Data Fusion Market by Business Function
10.1.6.2.4 Canada Data Fusion Market by Organization Size
10.1.6.2.5 Canada Data Fusion Market by Vertical
10.1.6.3 Mexico Data Fusion Market
10.1.6.3.1 Mexico Data Fusion Market by Deployment Type
10.1.6.3.2 Mexico Data Fusion Market by Component
10.1.6.3.3 Mexico Data Fusion Market by Business Function
10.1.6.3.4 Mexico Data Fusion Market by Organization Size
10.1.6.3.5 Mexico Data Fusion Market by Vertical
10.1.6.4 Rest of North America Data Fusion Market
10.1.6.4.1 Rest of North America Data Fusion Market by Deployment Type
10.1.6.4.2 Rest of North America Data Fusion Market by Component
10.1.6.4.3 Rest of North America Data Fusion Market by Business Function
10.1.6.4.4 Rest of North America Data Fusion Market by Organization Size
10.1.6.4.5 Rest of North America Data Fusion Market by Vertical
10.2 Europe Data Fusion Market
10.2.1 Europe Data Fusion Market by Deployment Type
10.2.1.1 Europe On-premise Market by Country
10.2.1.2 Europe Cloud Market by Country
10.2.2 Europe Data Fusion Market by Component
10.2.2.1 Europe Tools Market by Country
10.2.2.2 Europe Services Market by Country
10.2.2.3 Europe Data Fusion Market by Services Type
10.2.2.3.1 Europe Managed Services Market by Country
10.2.2.3.2 Europe Professional Services Market by Country
10.2.3 Europe Data Fusion Market by Business Function
10.2.3.1 Europe Finance Market by Country
10.2.3.2 Europe Information Technology Market by Country
10.2.3.3 Europe Sales & Marketing Market by Country
10.2.3.4 Europe Operations Market by Country
10.2.3.5 Europe Other Business Function Market by Country
10.2.4 Europe Data Fusion Market by Organization Size
10.2.4.1 Europe Large Enterprises Market by Country
10.2.4.2 Europe Small & Medium Enterprises Market by Country
10.2.5 Europe Data Fusion Market by Vertical
10.2.5.1 Europe BFSI Market by Country
10.2.5.2 Europe Government Market by Country
10.2.5.3 Europe Energy & Utilities Market by Country
10.2.5.4 Europe Healthcare Market by Country
10.2.5.5 Europe Manufacturing Market by Country
10.2.5.6 Europe Retail & Consumer Goods Market by Country
10.2.5.7 Europe Telecom & IT Market by Country
10.2.5.8 Europe Other Vertical Market by Country
10.2.6 Europe Data Fusion Market by Country
10.2.6.1 Germany Data Fusion Market
10.2.6.1.1 Germany Data Fusion Market by Deployment Type
10.2.6.1.2 Germany Data Fusion Market by Component
10.2.6.1.3 Germany Data Fusion Market by Business Function
10.2.6.1.4 Germany Data Fusion Market by Organization Size
10.2.6.1.5 Germany Data Fusion Market by Vertical
10.2.6.2 UK Data Fusion Market
10.2.6.2.1 UK Data Fusion Market by Deployment Type
10.2.6.2.2 UK Data Fusion Market by Component
10.2.6.2.3 UK Data Fusion Market by Business Function
10.2.6.2.4 UK Data Fusion Market by Organization Size
10.2.6.2.5 UK Data Fusion Market by Vertical
10.2.6.3 France Data Fusion Market
10.2.6.3.1 France Data Fusion Market by Deployment Type
10.2.6.3.2 France Data Fusion Market by Component
10.2.6.3.3 France Data Fusion Market by Business Function
10.2.6.3.4 France Data Fusion Market by Organization Size
10.2.6.3.5 France Data Fusion Market by Vertical
10.2.6.4 Russia Data Fusion Market
10.2.6.4.1 Russia Data Fusion Market by Deployment Type
10.2.6.4.2 Russia Data Fusion Market by Component
10.2.6.4.3 Russia Data Fusion Market by Business Function
10.2.6.4.4 Russia Data Fusion Market by Organization Size
10.2.6.4.5 Russia Data Fusion Market by Vertical
10.2.6.5 Spain Data Fusion Market
10.2.6.5.1 Spain Data Fusion Market by Deployment Type
10.2.6.5.2 Spain Data Fusion Market by Component
10.2.6.5.3 Spain Data Fusion Market by Business Function
10.2.6.5.4 Spain Data Fusion Market by Organization Size
10.2.6.5.5 Spain Data Fusion Market by Vertical
10.2.6.6 Italy Data Fusion Market
10.2.6.6.1 Italy Data Fusion Market by Deployment Type
10.2.6.6.2 Italy Data Fusion Market by Component
10.2.6.6.3 Italy Data Fusion Market by Business Function
10.2.6.6.4 Italy Data Fusion Market by Organization Size
10.2.6.6.5 Italy Data Fusion Market by Vertical
10.2.6.7 Rest of Europe Data Fusion Market
10.2.6.7.1 Rest of Europe Data Fusion Market by Deployment Type
10.2.6.7.2 Rest of Europe Data Fusion Market by Component
10.2.6.7.3 Rest of Europe Data Fusion Market by Business Function
10.2.6.7.4 Rest of Europe Data Fusion Market by Organization Size
10.2.6.7.5 Rest of Europe Data Fusion Market by Vertical
10.3 Asia Pacific Data Fusion Market
10.3.1 Asia Pacific Data Fusion Market by Deployment Type
10.3.1.1 Asia Pacific On-premise Market by Country
10.3.1.2 Asia Pacific Cloud Market by Country
10.3.2 Asia Pacific Data Fusion Market by Component
10.3.2.1 Asia Pacific Tools Market by Country
10.3.2.2 Asia Pacific Services Market by Country
10.3.2.3 Asia Pacific Data Fusion Market by Services Type
10.3.2.3.1 Asia Pacific Managed Services Market by Country
10.3.2.3.2 Asia Pacific Professional Services Market by Country
10.3.3 Asia Pacific Data Fusion Market by Business Function
10.3.3.1 Asia Pacific Finance Market by Country
10.3.3.2 Asia Pacific Information Technology Market by Country
10.3.3.3 Asia Pacific Sales & Marketing Market by Country
10.3.3.4 Asia Pacific Operations Market by Country
10.3.3.5 Asia Pacific Other Business Function Market by Country
10.3.4 Asia Pacific Data Fusion Market by Organization Size
10.3.4.1 Asia Pacific Large Enterprises Market by Country
10.3.4.2 Asia Pacific Small & Medium Enterprises Market by Country
10.3.5 Asia Pacific Data Fusion Market by Vertical
10.3.5.1 Asia Pacific BFSI Market by Country
10.3.5.2 Asia Pacific Government Market by Country
10.3.5.3 Asia Pacific Energy & Utilities Market by Country
10.3.5.4 Asia Pacific Healthcare Market by Country
10.3.5.5 Asia Pacific Manufacturing Market by Country
10.3.5.6 Asia Pacific Retail & Consumer Goods Market by Country
10.3.5.7 Asia Pacific Telecom & IT Market by Country
10.3.5.8 Asia Pacific Other Vertical Market by Country
10.3.6 Asia Pacific Data Fusion Market by Country
10.3.6.1 China Data Fusion Market
10.3.6.1.1 China Data Fusion Market by Deployment Type
10.3.6.1.2 China Data Fusion Market by Component
10.3.6.1.3 China Data Fusion Market by Business Function
10.3.6.1.4 China Data Fusion Market by Organization Size
10.3.6.1.5 China Data Fusion Market by Vertical
10.3.6.2 Japan Data Fusion Market
10.3.6.2.1 Japan Data Fusion Market by Deployment Type
10.3.6.2.2 Japan Data Fusion Market by Component
10.3.6.2.3 Japan Data Fusion Market by Business Function
10.3.6.2.4 Japan Data Fusion Market by Organization Size
10.3.6.2.5 Japan Data Fusion Market by Vertical
10.3.6.3 India Data Fusion Market
10.3.6.3.1 India Data Fusion Market by Deployment Type
10.3.6.3.2 India Data Fusion Market by Component
10.3.6.3.3 India Data Fusion Market by Business Function
10.3.6.3.4 India Data Fusion Market by Organization Size
10.3.6.3.5 India Data Fusion Market by Vertical
10.3.6.4 South Korea Data Fusion Market
10.3.6.4.1 South Korea Data Fusion Market by Deployment Type
10.3.6.4.2 South Korea Data Fusion Market by Component
10.3.6.4.3 South Korea Data Fusion Market by Business Function
10.3.6.4.4 South Korea Data Fusion Market by Organization Size
10.3.6.4.5 South Korea Data Fusion Market by Vertical
10.3.6.5 Australia Data Fusion Market
10.3.6.5.1 Australia Data Fusion Market by Deployment Type
10.3.6.5.2 Australia Data Fusion Market by Component
10.3.6.5.3 Australia Data Fusion Market by Business Function
10.3.6.5.4 Australia Data Fusion Market by Organization Size
10.3.6.5.5 Australia Data Fusion Market by Vertical
10.3.6.6 Malaysia Data Fusion Market
10.3.6.6.1 Malaysia Data Fusion Market by Deployment Type
10.3.6.6.2 Malaysia Data Fusion Market by Component
10.3.6.6.3 Malaysia Data Fusion Market by Business Function
10.3.6.6.4 Malaysia Data Fusion Market by Organization Size
10.3.6.6.5 Malaysia Data Fusion Market by Vertical
10.3.6.7 Rest of Asia Pacific Data Fusion Market
10.3.6.7.1 Rest of Asia Pacific Data Fusion Market by Deployment Type
10.3.6.7.2 Rest of Asia Pacific Data Fusion Market by Component
10.3.6.7.3 Rest of Asia Pacific Data Fusion Market by Business Function
10.3.6.7.4 Rest of Asia Pacific Data Fusion Market by Organization Size
10.3.6.7.5 Rest of Asia Pacific Data Fusion Market by Vertical
10.4 LAMEA Data Fusion Market
10.4.1 LAMEA Data Fusion Market by Deployment Type
10.4.1.1 LAMEA On-premise Market by Country
10.4.1.2 LAMEA Cloud Market by Country
10.4.2 LAMEA Data Fusion Market by Component
10.4.2.1 LAMEA Tools Market by Country
10.4.2.2 LAMEA Services Market by Country
10.4.2.3 LAMEA Data Fusion Market by Services Type
10.4.2.3.1 LAMEA Managed Services Market by Country
10.4.2.3.2 LAMEA Professional Services Market by Country
10.4.3 LAMEA Data Fusion Market by Business Function
10.4.3.1 LAMEA Finance Market by Country
10.4.3.2 LAMEA Information Technology Market by Country
10.4.3.3 LAMEA Sales & Marketing Market by Country
10.4.3.4 LAMEA Operations Market by Country
10.4.3.5 LAMEA Other Business Function Market by Country
10.4.4 LAMEA Data Fusion Market by Organization Size
10.4.4.1 LAMEA Large Enterprises Market by Country
10.4.4.2 LAMEA Small & Medium Enterprises Market by Country
10.4.5 LAMEA Data Fusion Market by Vertical
10.4.5.1 LAMEA BFSI Market by Country
10.4.5.2 LAMEA Government Market by Country
10.4.5.3 LAMEA Energy & Utilities Market by Country
10.4.5.4 LAMEA Healthcare Market by Country
10.4.5.5 LAMEA Manufacturing Market by Country
10.4.5.6 LAMEA Retail & Consumer Goods Market by Country
10.4.5.7 LAMEA Telecom & IT Market by Country
10.4.5.8 LAMEA Other Vertical Market by Country
10.4.6 LAMEA Data Fusion Market by Country
10.4.6.1 Brazil Data Fusion Market
10.4.6.1.1 Brazil Data Fusion Market by Deployment Type
10.4.6.1.2 Brazil Data Fusion Market by Component
10.4.6.1.3 Brazil Data Fusion Market by Business Function
10.4.6.1.4 Brazil Data Fusion Market by Organization Size
10.4.6.1.5 Brazil Data Fusion Market by Vertical
10.4.6.2 Argentina Data Fusion Market
10.4.6.2.1 Argentina Data Fusion Market by Deployment Type
10.4.6.2.2 Argentina Data Fusion Market by Component
10.4.6.2.3 Argentina Data Fusion Market by Business Function
10.4.6.2.4 Argentina Data Fusion Market by Organization Size
10.4.6.2.5 Argentina Data Fusion Market by Vertical
10.4.6.3 UAE Data Fusion Market
10.4.6.3.1 UAE Data Fusion Market by Deployment Type
10.4.6.3.2 UAE Data Fusion Market by Component
10.4.6.3.3 UAE Data Fusion Market by Business Function
10.4.6.3.4 UAE Data Fusion Market by Organization Size
10.4.6.3.5 UAE Data Fusion Market by Vertical
10.4.6.4 Saudi Arabia Data Fusion Market
10.4.6.4.1 Saudi Arabia Data Fusion Market by Deployment Type
10.4.6.4.2 Saudi Arabia Data Fusion Market by Component
10.4.6.4.3 Saudi Arabia Data Fusion Market by Business Function
10.4.6.4.4 Saudi Arabia Data Fusion Market by Organization Size
10.4.6.4.5 Saudi Arabia Data Fusion Market by Vertical
10.4.6.5 South Africa Data Fusion Market
10.4.6.5.1 South Africa Data Fusion Market by Deployment Type
10.4.6.5.2 South Africa Data Fusion Market by Component
10.4.6.5.3 South Africa Data Fusion Market by Business Function
10.4.6.5.4 South Africa Data Fusion Market by Organization Size
10.4.6.5.5 South Africa Data Fusion Market by Vertical
10.4.6.6 Nigeria Data Fusion Market
10.4.6.6.1 Nigeria Data Fusion Market by Deployment Type
10.4.6.6.2 Nigeria Data Fusion Market by Component
10.4.6.6.3 Nigeria Data Fusion Market by Business Function
10.4.6.6.4 Nigeria Data Fusion Market by Organization Size
10.4.6.6.5 Nigeria Data Fusion Market by Vertical
10.4.6.7 Rest of LAMEA Data Fusion Market
10.4.6.7.1 Rest of LAMEA Data Fusion Market by Deployment Type
10.4.6.7.2 Rest of LAMEA Data Fusion Market by Component
10.4.6.7.3 Rest of LAMEA Data Fusion Market by Business Function
10.4.6.7.4 Rest of LAMEA Data Fusion Market by Organization Size
10.4.6.7.5 Rest of LAMEA Data Fusion Market by Vertical
Chapter 11. Company Profiles
11.1 IBM Corporation
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Regional & Segmental Analysis
11.1.4 Research & Development Expenses
11.1.5 Recent strategies and developments:
11.1.5.1 Partnerships, Collaborations, and Agreements:
11.1.6 SWOT Analysis
11.2 Esri, Inc.
11.2.1 Company Overview
11.2.2 SWOT Analysis
11.3 Teradata Corporation
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Regional Analysis
11.3.4 Research & Development Expenses
11.3.5 Recent strategies and developments:
11.3.5.1 Partnerships, Collaborations, and Agreements:
11.3.6 SWOT Analysis
11.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental Analysis
11.4.4 Recent strategies and developments:
11.4.4.1 Product Launches and Product Expansions:
11.4.5 SWOT Analysis
11.5 Microsoft Corporation
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental and Regional Analysis
11.5.4 Research & Development Expenses
11.5.5 SWOT Analysis
11.6 Oracle Corporation
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expense
11.6.5 Recent strategies and developments:
11.6.5.1 Product Launches and Product Expansions:
11.6.6 SWOT Analysis
11.7 Rockwell Automation, Inc.
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expenses
11.7.5 Recent strategies and developments:
11.7.5.1 Partnerships, Collaborations, and Agreements:
11.7.6 SWOT Analysis
11.8 SAP SE
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional Analysis
11.8.4 Research & Development Expense
11.8.5 SWOT Analysis
11.9 Inrix, Inc.
11.9.1 Company Overview
11.9.2 Recent strategies and developments:
11.9.2.1 Product Launches and Product Expansions:
11.10. Google LLC (Alphabet Inc.)
11.10.1 Company Overview
11.10.2 Financial Analysis
11.10.3 Segmental and Regional Analysis
11.10.4 Research & Development Expense
11.10.5 SWOT Analysis
Chapter 12. Winning Imperatives of Data Fusion Market