The North America Composite AI Market should witness market growth of 36.0% CAGR during the forecast period (2023-2030).
Composite AI overcomes ML's cited limitations and restrictions to provide better outcomes. The utilization of pre-built, industry-standard knowledge graphs is another advantage of Composite AI. Then, users may modify them and create their own models for a particular industry. They may be improved, but as they currently apply to the majority of businesses, they are primarily being used.
Additionally, businesses may employ composite AI to oversee operational processes along the whole value chain, where an enterprise' 'smarts'are located. Users of composite AI may create intelligent computers that integrate data from humans and other machine learning techniques into a single, integrated system. Although the underlying ideas of Composite AI are not unfamiliar, its implementation has just lately begun. Composite AI knows that techniques like deep learning, graph analytics, or other 'more traditional'AI methods are not a panacea.
The National Artificial Intelligence (AI) Initiative focuses on six strategic pillars including advancing reliable AI, enhancing AI innovation, enhancing current infrastructure through new technologies, creating new opportunistic avenues for education and training through AI, enabling private and federal sectors for the utilization of AI to enhance existing systems, and developing an environment that supports AI, has also been formalized by the United States. The market is expected to be supported by all of these factors.
The US market dominated the North America Composite AI Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,267.7 million by 2030. The Canada market is showcasing a CAGR of 39.1% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 37.9% during (2023-2030).
Based on Technique, the market is segmented into Data Processing, Data Mining & Machine Learning, Conditioned Monitoring, Pattern Recognition and Proactive Mechanism & Others. Based on Vertical, the market is segmented into BFSI, Telecommunications, Retail & eCommerce, Healthcare & Lifesciences, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others. Based on Application, the market is segmented into Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance and Customer Service & Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, Networks and Others), Software (AI Development Platforms & Tools, ML Framework and AI Middleware & Others) and Services. 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 IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, and Squirro AG
Composite AI overcomes ML's cited limitations and restrictions to provide better outcomes. The utilization of pre-built, industry-standard knowledge graphs is another advantage of Composite AI. Then, users may modify them and create their own models for a particular industry. They may be improved, but as they currently apply to the majority of businesses, they are primarily being used.
Additionally, businesses may employ composite AI to oversee operational processes along the whole value chain, where an enterprise' 'smarts'are located. Users of composite AI may create intelligent computers that integrate data from humans and other machine learning techniques into a single, integrated system. Although the underlying ideas of Composite AI are not unfamiliar, its implementation has just lately begun. Composite AI knows that techniques like deep learning, graph analytics, or other 'more traditional'AI methods are not a panacea.
The National Artificial Intelligence (AI) Initiative focuses on six strategic pillars including advancing reliable AI, enhancing AI innovation, enhancing current infrastructure through new technologies, creating new opportunistic avenues for education and training through AI, enabling private and federal sectors for the utilization of AI to enhance existing systems, and developing an environment that supports AI, has also been formalized by the United States. The market is expected to be supported by all of these factors.
The US market dominated the North America Composite AI Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,267.7 million by 2030. The Canada market is showcasing a CAGR of 39.1% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 37.9% during (2023-2030).
Based on Technique, the market is segmented into Data Processing, Data Mining & Machine Learning, Conditioned Monitoring, Pattern Recognition and Proactive Mechanism & Others. Based on Vertical, the market is segmented into BFSI, Telecommunications, Retail & eCommerce, Healthcare & Lifesciences, Media & Entertainment, Energy & Power, Transportation & Logistics, Government & Defense, Manufacturing and Others. Based on Application, the market is segmented into Product Design & Development, Quality Control, Predictive Maintenance, Security & Surveillance and Customer Service & Others. Based on Offering, the market is segmented into Hardware (Processors, Memory Units, Networks and Others), Software (AI Development Platforms & Tools, ML Framework and AI Middleware & Others) and Services. 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 IBM Corporation, SAS Institute, Inc., Microsoft Corporation, Google LLC (Alphabet Inc.), Salesforce, Inc., Amazon Web Services, Inc. (Amazon.com, Inc.), NVIDIA Corporation, Intel Corporation, SAP SE, and Squirro AG
Scope of the Study
By Technique
- Data Processing
- Data Mining & Machine Learning
- Conditioned Monitoring
- Pattern Recognition
- Proactive Mechanism & Others
By Vertical
- BFSI
- Telecommunications
- Retail & eCommerce
- Healthcare & Lifesciences
- Media & Entertainment
- Energy & Power
- Transportation & Logistics
- Government & Defense
- Manufacturing
- Others
By Application
- Product Design & Development
- Quality Control
- Predictive Maintenance
- Security & Surveillance
- Customer Service & Others
By Offering
- Hardware
- Processors
- Memory Units
- Networks
- Others
- Software
- AI Development Platforms & Tools
- ML Framework
- AI Middleware & Others
- Services
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- SAS Institute, Inc.
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Salesforce, Inc.
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Intel Corporation
- SAP SE
- Squirro AG
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 Overview
Chapter 3. Competition Analysis - Global
Chapter 4. North America Composite AI Market by Technique
Chapter 5. North America Composite AI Market by Vertical
Chapter 6. North America Composite AI Market by Application
Chapter 7. North America Composite AI Market by Offering
Chapter 8. North America Composite AI Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- IBM Corporation
- SAS Institute, Inc.
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Salesforce, Inc.
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- NVIDIA Corporation
- Intel Corporation
- SAP SE
- Squirro AG
Methodology
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