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North America AI Data Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Offering (Platform, Software Tools, and Services), By Technology, By Application, By Data Type, By Vertical, By Country and Growth Forecast, 2023 - 2030

Publisher Knowledge Based Value (KBV) Research
Published Feb 16, 2024
Length 181 Pages
SKU # KBV18592653

Description

North America AI Data Management Market Size, Share & Trends Analysis Report By Deployment Mode, By Offering (Platform, Software Tools, and Services), By Technology, By Application, By Data Type, By Vertical, By Country and Growth Forecast, 2023 - 2030


The North America AI Data Management Market would witness market growth of 21.5% CAGR during the forecast period (2023-2030).

It is the systematic process of collecting, organizing, storing, and analyzing data using artificial intelligence techniques. Unlike traditional data management approaches, which often require extensive manual intervention, this leverages ML, NLP, and other AI techniques to automate and optimize these processes. The goal is to enhance the efficiency of handling vast data while uncovering valuable patterns and insights that can drive informed decision-making. This encompasses a range of tasks, including data integration, data quality management, data governance, and predictive analytics.

AI-driven data management enables organizations to extract meaningful insights from complex datasets, facilitating better business intelligence and analytics. This, in turn, empowers decision-makers to make informed choices based on a deep understanding of market trends, customer behaviour, and operational efficiency. AI enhances CRM systems by analyzing customer data to predict preferences, identify buying patterns, and personalize interactions. This leads to more compelling customer engagement and targeted marketing efforts. In supply chain management, AI data management aids in optimizing logistics, inventory management, and demand forecasting.

According to the Canada Energy Regulator (CER), renewables will reach 12% of total power generation by 2035. Wind is Canada's second-largest source of renewable energy, with an installed capacity of 13,588 MW in 2021, with Ontario (5,436 MW), Québec (3,882 MW), and Alberta (1,685 MW) the leading provinces. Renewable energy sources, especially wind and solar, generate vast amounts of data due to the variability and intermittency of these sources. Managing and analyzing this high-volume and complex data requires sophisticated solutions capable of handling diverse datasets. Canada's adoption of renewable energy often involves distributed power resources, like rooftop solar panels and residential wind turbines. As a result, these aspects will boost the market growth in the coming years.

The US market dominated the North America AI Data Management Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $26,162.5 million by 2030. The Canada market is experiencing a CAGR of 24.2% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 23.1% during (2023 - 2030).

Based on Deployment Mode, the market is segmented into Cloud, and On-premise. Based on Offering, the market is segmented into Platform, Software Tools, and Services. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, and Context Awareness. Based on Application, the market is segmented into Process Automation, Data Validation & Noise Reduction, Data Anonymization & Customization, Data Augmentation & Exploratory Data Analysis, and Imputation Predictive Modeling & Others. Based on Data Type, the market is segmented into Image Data, Video Data, Text Data, Speech & Voice Data, and Audio Data. Based on Vertical, the market is segmented into BFSI, Government & Public Sector, Energy & Utilities, IT & Telecom, Media & Entertainment, Manufacturing, Retail & eCommerce, Healthcare & Lifesciences, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

List of Key Companies Profiled
  • Microsoft Corporation
  • IBM Corporation
  • Amazon Web Services, Inc.(Amazon.Com, Inc.)
  • Google LLC (Alphabet Inc.)
  • Oracle Corporation
  • Salesforce, Inc.
  • SAP SE
  • Hewlett Packard enterprise Company
  • Snowflake Inc.
  • Teradata Corporation
North America AI Data Management Market Report Segmentation

By Deployment Mode
  • Cloud
  • On-premise
By Offering
  • Platform
  • Software Tools
  • Services
By Technology
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Context Awareness
By Application
  • Process Automation
  • Data Validation & Noise Reduction
  • Data Anonymization & Customization
  • Data Augmentation & Exploratory Data Analysis
  • Imputation Predictive Modeling & Others
By Data Type
  • Image Data
  • Video Data
  • Text Data
  • Speech & Voice Data
  • Audio Data
By Vertical
  • BFSI
  • Government & Public Sector
  • Energy & Utilities
  • IT & Telecom
  • Media & Entertainment
  • Manufacturing
  • Retail & eCommerce
  • Healthcare & Lifesciences
  • Others
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

181 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 AI Data Management Market, by Deployment Mode
1.4.2 North America AI Data Management Market, by Offering
1.4.3 North America AI Data Management Market, by Technology
1.4.4 North America AI Data Management Market, by Application
1.4.5 North America AI Data Management Market, by Data Type
1.4.6 North America AI Data Management Market, by Vertical
1.4.7 North America AI Data Management 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 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2022, May – 2023, Oct) Leading Players
4.5 Porter’s Five Forces Analysis
Chapter 5. North America AI Data Management Market by Deployment Mode
5.1 North America Cloud Market by Region
5.2 North America On-premise Market by Region
Chapter 6. North America AI Data Management Market by Offering
6.1 North America Platform Market by Country
6.2 North America Software Tools Market by Country
6.3 North America Services Market by Country
Chapter 7. North America AI Data Management Market by Technology
7.1 North America Machine Learning Market by Country
7.2 North America Natural Language Processing Market by Country
7.3 North America Computer Vision Market by Country
7.4 North America Context Awareness Market by Country
Chapter 8. North America AI Data Management Market by Application
8.1 North America Process Automation Market by Country
8.2 North America Data Validation & Noise Reduction Market by Country
8.3 North America Data Anonymization & Customization Market by Country
8.4 North America Data Augmentation & Exploratory Data Analysis Market by Country
8.5 North America Imputation Predictive Modeling & Others Market by Country
Chapter 9. North America AI Data Management Market by Data Type
9.1 North America Image Data Market by Country
9.2 North America Video Data Market by Country
9.3 North America Text Data Market by Country
9.4 North America Speech & Voice Data Market by Country
9.5 North America Audio Data Market by Country
Chapter 10. North America AI Data Management Market by Vertical
10.1 North America BFSI Market by Country
10.2 North America Government & Public Sector Market by Country
10.3 North America Energy & Utilities Market by Country
10.4 North America IT & Telecom Market by Country
10.5 North America Media & Entertainment Market by Country
10.6 North America Manufacturing Market by Country
10.7 North America Retail & eCommerce Market by Country
10.8 North America Healthcare & Lifesciences Market by Country
10.9 North America Others Market by Country
Chapter 11. North America AI Data Management Market by Country
11.1 US AI Data Management Market
11.1.1 US AI Data Management Market by Deployment Mode
11.1.2 US AI Data Management Market by Offering
11.1.3 US AI Data Management Market by Technology
11.1.4 US AI Data Management Market by Application
11.1.5 US AI Data Management Market by Data Type
11.1.6 US AI Data Management Market by Vertical
11.2 Canada AI Data Management Market
11.2.1 Canada AI Data Management Market by Deployment Mode
11.2.2 Canada AI Data Management Market by Offering
11.2.3 Canada AI Data Management Market by Technology
11.2.4 Canada AI Data Management Market by Application
11.2.5 Canada AI Data Management Market by Data Type
11.2.6 Canada AI Data Management Market by Vertical
11.3 Mexico AI Data Management Market
11.3.1 Mexico AI Data Management Market by Deployment Mode
11.3.2 Mexico AI Data Management Market by Offering
11.3.3 Mexico AI Data Management Market by Technology
11.3.4 Mexico AI Data Management Market by Application
11.3.5 Mexico AI Data Management Market by Data Type
11.3.6 Mexico AI Data Management Market by Vertical
11.4 Rest of North America AI Data Management Market
11.4.1 Rest of North America AI Data Management Market by Deployment Mode
11.4.2 Rest of North America AI Data Management Market by Offering
11.4.3 Rest of North America AI Data Management Market by Technology
11.4.4 Rest of North America AI Data Management Market by Application
11.4.5 Rest of North America AI Data Management Market by Data Type
11.4.6 Rest of North America AI Data Management Market by Vertical
Chapter 12. Company Profiles
12.1 Microsoft Corporation
12.1.1 Company Overview
12.1.2 Financial Analysis
12.1.3 Segmental and Regional Analysis
12.1.4 Research & Development Expenses
12.1.5 Recent strategies and developments:
12.1.5.1 Partnerships, Collaborations, and Agreements:
12.1.5.2 Acquisition and Mergers:
12.1.6 SWOT Analysis
12.2 IBM Corporation
12.2.1 Company Overview
12.2.2 Financial Analysis
12.2.3 Regional & Segmental Analysis
12.2.4 Research & Development Expenses
12.2.5 Recent strategies and developments:
12.2.5.1 Product Launches and Product Expansions:
12.2.5.2 Acquisition and Mergers:
12.2.6 SWOT Analysis
12.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
12.3.1 Company Overview
12.3.2 Financial Analysis
12.3.3 Segmental Analysis
12.3.4 Recent strategies and developments:
12.3.4.1 Partnerships, Collaborations, and Agreements:
12.3.5 SWOT Analysis
12.4 Google LLC (Alphabet Inc.)
12.4.1 Company Overview
12.4.2 Financial Analysis
12.4.3 Segmental and Regional Analysis
12.4.4 Research & Development Expense
12.4.5 Recent strategies and developments:
12.4.5.1 Partnerships, Collaborations, and Agreements:
12.4.5.2 Product Launches and Product Expansions:
12.4.6 SWOT Analysis
12.5 Oracle Corporation
12.5.1 Company Overview
12.5.2 Financial Analysis
12.5.3 Segmental and Regional Analysis
12.5.4 Research & Development Expense
12.5.5 Recent strategies and developments:
12.5.5.1 Partnerships, Collaborations, and Agreements:
12.5.6 SWOT Analysis
12.6 Salesforce, Inc.
12.6.1 Company Overview
12.6.2 Financial Analysis
12.6.3 Regional Analysis
12.6.4 Research & Development Expense
12.6.5 Recent strategies and developments:
12.6.5.1 Partnerships, Collaborations, and Agreements:
12.6.5.2 Acquisition and Mergers:
12.6.6 SWOT Analysis
12.7 SAP SE
12.7.1 Company Overview
12.7.2 Financial Analysis
12.7.3 Segmental and Regional Analysis
12.7.4 Research & Development Expense
12.7.5 Recent strategies and developments:
12.7.5.1 Acquisition and Mergers:
12.7.6 SWOT Analysis
12.8 Hewlett Packard Enterprise Company
12.8.1 Company Overview
12.8.2 Financial Analysis
12.8.3 Segmental and Regional Analysis
12.8.4 Research & Development Expense
12.8.5 Recent strategies and developments:
12.8.5.1 Acquisition and Mergers:
12.8.6 SWOT Analysis
12.9 Snowflake, Inc.
12.9.1 Company Overview
12.9.2 Financial Analysis
12.9.3 Regional Analysis
12.9.4 Research & Development Expenses
12.9.5 SWOT Analysis
12.10. Teradata Corporation
12.10.1 Company Overview
12.10.2 Financial Analysis
12.10.3 Regional Analysis
12.10.4 Research & Development Expense
12.10.5 Recent strategies and developments:
12.10.5.1 Acquisition and Mergers:
12.10.6 SWOT Analysis

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