세계의 데이터 융합 시장 규모, 점유율, 동향 분석 보고서 : 전개 유형별, 컴포넌트별, 비즈니스 기능별, 조직 규모별, 업계별, 지역별 전망 및 예측(2024-2031년)

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