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North America 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 Country and Growth Forecast, 2024 - 2031

Publisher Knowledge Based Value (KBV) Research
Published Jan 24, 2025
Length 150 Pages
SKU # KBV19527963

Description

North America 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 Country and Growth Forecast, 2024 - 2031


The North America Data Fusion Market would witness market growth of 14.3% CAGR during the forecast period (2024-2031).

The US market dominated the North America Data Fusion Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $15,937.1 million by 2031. The Canada market is experiencing a CAGR of 16.6% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 15.8% during (2024 - 2031).

This market has emerged as a critical component of the modern technological landscape, driven by the exponential growth of data across industries. In the era of big data, artificial intelligence (AI), and machine learning (ML), organizations are faced with the challenge of managing vast amounts of diverse and often unstructured data.

Data fusion refers to the process of integrating data from various sources and sensors to create a unified and more comprehensive representation of the information. In healthcare, data fusion enables the integration of medical data from various sources, such as Electronic Health Records (EHRs), medical imaging systems, wearable devices, and genomic data.

Mexico’s retail sector, valued at approximately USD 76 billion and comprising over 47,000 stores, is one of the largest in Latin America. With companies like Walmart de Mexico dominating the supermarket space, the retail landscape is highly competitive, and data driven. As the retail industry expands, companies must increasingly rely on data integration to enhance customer experience, streamline supply chains, and optimize inventory management. Canada’s industrial sector is expected to drive significant growth in electricity demand, with a 1% annual increase in overall demand projected from 2014 to 2040. Much of this demand is driven by the industrial sector, which is expected to grow at 0.7% annually. As industries expand and energy needs increase, the integration of data from various sources—such as energy usage data, industrial operations, and environmental monitoring systems—becomes increasingly crucial. Therefore, the rising retail sector in Mexico and the growing industrial energy demand in Canada are both driving factors for the growth of this market.

Based on Deployment Type, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Tools, and Services (Managed Services, and Professional Services). Based on Business Function, the market is segmented into Finance, Information Technology, Sales & Marketing, Operations, and Other Business Function. Based on Organization Size, the market is segmented into Large Enterprises, and Small & Medium Enterprises. Based on Vertical, the market is segmented into BFSI, Government, Energy & Utilities, Healthcare, Manufacturing, Retail & Consumer Goods, Telecom & IT, and Other Vertical. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

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.)
North America 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 Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

150 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Data Fusion Market, by Deployment Type
1.4.2 North America Data Fusion Market, by Component
1.4.3 North America Data Fusion Market, by Business Function
1.4.4 North America Data Fusion Market, by Organization Size
1.4.5 North America Data Fusion Market, by Vertical
1.4.6 North America Data Fusion Market, by Country
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. North America Data Fusion Market by Deployment Type
5.1 North America On-premise Market by Region
5.2 North America Cloud Market by Region
Chapter 6. North America Data Fusion Market by Component
6.1 North America Tools Market by Country
6.2 North America Services Market by Country
6.3 North America Data Fusion Market by Services Type
6.3.1 North America Managed Services Market by Country
6.3.2 North America Professional Services Market by Country
Chapter 7. North America Data Fusion Market by Business Function
7.1 North America Finance Market by Country
7.2 North America Information Technology Market by Country
7.3 North America Sales & Marketing Market by Country
7.4 North America Operations Market by Country
7.5 North America Other Business Function Market by Country
Chapter 8. North America Data Fusion Market by Organization Size
8.1 North America Large Enterprises Market by Country
8.2 North America Small & Medium Enterprises Market by Country
Chapter 9. North America Data Fusion Market by Vertical
9.1 North America BFSI Market by Country
9.2 North America Government Market by Country
9.3 North America Energy & Utilities Market by Country
9.4 North America Healthcare Market by Country
9.5 North America Manufacturing Market by Country
9.6 North America Retail & Consumer Goods Market by Country
9.7 North America Telecom & IT Market by Country
9.8 North America Other Vertical Market by Country
Chapter 10. North America Data Fusion Market by Country
10.1 US Data Fusion Market
10.1.1 US Data Fusion Market by Deployment Type
10.1.2 US Data Fusion Market by Component
10.1.2.1 US Data Fusion Market by Services Type
10.1.3 US Data Fusion Market by Business Function
10.1.4 US Data Fusion Market by Organization Size
10.1.5 US Data Fusion Market by Vertical
10.2 Canada Data Fusion Market
10.2.1 Canada Data Fusion Market by Deployment Type
10.2.2 Canada Data Fusion Market by Component
10.2.2.1 Canada Data Fusion Market by Services Type
10.2.3 Canada Data Fusion Market by Business Function
10.2.4 Canada Data Fusion Market by Organization Size
10.2.5 Canada Data Fusion Market by Vertical
10.3 Mexico Data Fusion Market
10.3.1 Mexico Data Fusion Market by Deployment Type
10.3.2 Mexico Data Fusion Market by Component
10.3.2.1 Mexico Data Fusion Market by Services Type
10.3.3 Mexico Data Fusion Market by Business Function
10.3.4 Mexico Data Fusion Market by Organization Size
10.3.5 Mexico Data Fusion Market by Vertical
10.4 Rest of North America Data Fusion Market
10.4.1 Rest of North America Data Fusion Market by Deployment Type
10.4.2 Rest of North America Data Fusion Market by Component
10.4.2.1 Rest of North America Data Fusion Market by Services Type
10.4.3 Rest of North America Data Fusion Market by Business Function
10.4.4 Rest of North America Data Fusion Market by Organization Size
10.4.5 Rest of North America 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

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