The North America Machine Learning Market should witness market growth of 35.7% CAGR during the forecast period (2023-2030).
Fintech companies are increasingly leveraging client data and applying AI and ML to a variety of applications across multiple channels to forecast, among other things, how customers' needs will change over time, which types of fraud have the best chance of attacking a system, what services will be helpful, etc.
Finance companies may eliminate manual labor by using machine learning-powered solutions to automate repetitive tasks via intelligent process automation, increasing business efficiency. Examples throughout the predicted period include chatbots, document automation, and gamification of staff training. Financial procedures are being automated via machine learning.
Financial institutions increasingly seek to engage with and service clients via digital channels after the COVID-19 pandemic. The market is seeing an increase in chatbots, account opening, managing support, and technical assistance, among other things. Posh. Tech, Spixii, and other fintech businesses provide banks with intelligent chatbots for crucial customer-facing tasks.
The development of ML solutions has been accelerated in North America owing to the region's robust innovation ecosystem, supported by strategic federal investments in cutting-edge technology and brilliant scientists and entrepreneurs from top research institutions worldwide. Additionally, 5G, IoT, and linked gadgets have proliferated in the area. Consequently, communications service providers (CSPs) must effectively handle the increasing complexity via network slicing, virtualization, new use cases, and service needs. The Canadian government has funded eHealth initiatives like the First Ministers' Agreements ever since the 1997 Federal Budget. The regional market expansion is predicted to be supported by all of these factors.
The US market dominated the North America Machine Learning Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $101.6 billion by 2030. The Canada market is poised to grow at a CAGR of 38.8% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 37.6% during (2023-2030).
Based on Enterprise Size, the market is segmented into Large Enterprises, and SMEs. Based on Component, the market is segmented into Services, Software, and Hardware. Based on End-use, the market is segmented into Advertising & Media, BFSI, Automotive & Transportation, Manufacturing, Agriculture, Retail, Healthcare, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc. (Amazon.com, Inc.), Baidu, Inc., Google LLC (Alphabet Inc.), H2O.ai, Inc., Hewlett-Packard enterprise Company (HP Development Company L.P.), Intel Corporation, IBM Corporation, Microsoft Corporation, SAS Institute, Inc., SAP SE
Fintech companies are increasingly leveraging client data and applying AI and ML to a variety of applications across multiple channels to forecast, among other things, how customers' needs will change over time, which types of fraud have the best chance of attacking a system, what services will be helpful, etc.
Finance companies may eliminate manual labor by using machine learning-powered solutions to automate repetitive tasks via intelligent process automation, increasing business efficiency. Examples throughout the predicted period include chatbots, document automation, and gamification of staff training. Financial procedures are being automated via machine learning.
Financial institutions increasingly seek to engage with and service clients via digital channels after the COVID-19 pandemic. The market is seeing an increase in chatbots, account opening, managing support, and technical assistance, among other things. Posh. Tech, Spixii, and other fintech businesses provide banks with intelligent chatbots for crucial customer-facing tasks.
The development of ML solutions has been accelerated in North America owing to the region's robust innovation ecosystem, supported by strategic federal investments in cutting-edge technology and brilliant scientists and entrepreneurs from top research institutions worldwide. Additionally, 5G, IoT, and linked gadgets have proliferated in the area. Consequently, communications service providers (CSPs) must effectively handle the increasing complexity via network slicing, virtualization, new use cases, and service needs. The Canadian government has funded eHealth initiatives like the First Ministers' Agreements ever since the 1997 Federal Budget. The regional market expansion is predicted to be supported by all of these factors.
The US market dominated the North America Machine Learning Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $101.6 billion by 2030. The Canada market is poised to grow at a CAGR of 38.8% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 37.6% during (2023-2030).
Based on Enterprise Size, the market is segmented into Large Enterprises, and SMEs. Based on Component, the market is segmented into Services, Software, and Hardware. Based on End-use, the market is segmented into Advertising & Media, BFSI, Automotive & Transportation, Manufacturing, Agriculture, Retail, Healthcare, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc. (Amazon.com, Inc.), Baidu, Inc., Google LLC (Alphabet Inc.), H2O.ai, Inc., Hewlett-Packard enterprise Company (HP Development Company L.P.), Intel Corporation, IBM Corporation, Microsoft Corporation, SAS Institute, Inc., SAP SE
Scope of the Study
By Enterprise Size
- Large Enterprises
- SMEs
By Component
- Services
- Software
- Hardware
By End-use
- Advertising & Media
- BFSI
- Automotive & Transportation
- Manufacturing
- Agriculture
- Retail
- Healthcare
- Others
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Baidu, Inc.
- Google LLC (Alphabet Inc.)
- H2O.ai, Inc.
- Hewlett-Packard enterprise Company (HP Development Company L.P.)
- Intel Corporation
- IBM Corporation
- Microsoft Corporation
- SAS Institute, Inc.
- SAP SE
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America Machine Learning Market by Enterprise Size
Chapter 6. North America Machine Learning Market by Component
Chapter 7. North America Machine Learning Market by End-use
Chapter 8. North America Machine Learning Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Baidu, Inc.
- Google LLC (Alphabet Inc.)
- H2O.ai, Inc.
- Hewlett-Packard enterprise Company (HP Development Company L.P.)
- Intel Corporation
- IBM Corporation
- Microsoft Corporation
- SAS Institute, Inc.
- SAP SE
Methodology
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