The North America Artificial Intelligence (AI) Toolkit Market would witness market growth of 33.4% CAGR during the forecast period (2023-2030).
AI toolkits comprise the essential elements necessary for the development and implementation of deep learning and machine learning models. They offer libraries for various neural network architectures, optimization algorithms, and data preprocessing techniques. AI toolkits include modules for data cleaning, transformation, and feature engineering, allowing developers to prepare datasets for training and inference. AI toolkits provide deployment options, such as cloud services and edge computing, to enable AI models to run in various environments. AI toolkits often include tools for monitoring model performance and optimizing models for better accuracy and efficiency. These toolkits allow integration with other software and hardware systems, enabling AI applications to interact with databases, IoT devices, and external APIs.
The automated power of AI is assisting in adopting intelligent IoT solutions, as enterprises can extract insights from huge statistics collected by these devices. These insights empower organizations to develop a comprehensive perspective of their operations and business performance, utilizing that information to introduce novel products and services to the market. IoT generates massive amounts of data, providing new insights into organizational performance and health. In remote manufacturing, for instance, sensors monitor production processes at multiple locations and transmit status updates to a centralized facility that employs ML to forecast machine failures, thereby reducing downtime. AI is crucial in tackling security challenges that arise with IoT implementations.
The healthcare sector in North America has embraced AI toolkits for medical imaging, disease diagnosis, drug discovery, and patient care, among other applications. The demand for AI-driven healthcare solutions has boosted toolkit adoption. The financial industry in North America uses AI toolkits for algorithmic trading, risk assessment, fraud detection, and customer service. The United States ranks as the second-largest region globally in terms of both vehicle production and sales. 5 million vehicles were manufactured in the United States by global automakers in 2020, according to Autos Drive America. Due to these aspects, the market will expand across the North America region in upcoming years.
The US region dominated the North America Artificial Intelligence (AI) Toolkit Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $44,380.8 million by 2030. The Canada region is experiencing a CAGR of 36.4% during (2023 - 2030). Additionally, The Mexico region would exhibit a CAGR of 35.3% during (2023 - 2030).
Based on Component, the market is segmented into Software, Hardware (Processors, Accelerators, Others), and Services. Based on Technology, the market is segmented into Natural Language Processing, Computer Vision, Machine Learning, and Robotic Process Automation. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Government & Defense, Healthcare & Lifesciences, Media & Entertainment, Retail & Ecommerce, Automotive, Transportation & Logistics, Energy & Utilities, Manufacturing, 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 Microsoft Corporation, IBM Corporation, Google LLC, Oracle Corporation, NVIDIA Corporation, Thales Group S.A., Intel Corporation, Adobe, Inc., Salesforce, Inc. and DataRobot, Inc.
AI toolkits comprise the essential elements necessary for the development and implementation of deep learning and machine learning models. They offer libraries for various neural network architectures, optimization algorithms, and data preprocessing techniques. AI toolkits include modules for data cleaning, transformation, and feature engineering, allowing developers to prepare datasets for training and inference. AI toolkits provide deployment options, such as cloud services and edge computing, to enable AI models to run in various environments. AI toolkits often include tools for monitoring model performance and optimizing models for better accuracy and efficiency. These toolkits allow integration with other software and hardware systems, enabling AI applications to interact with databases, IoT devices, and external APIs.
The automated power of AI is assisting in adopting intelligent IoT solutions, as enterprises can extract insights from huge statistics collected by these devices. These insights empower organizations to develop a comprehensive perspective of their operations and business performance, utilizing that information to introduce novel products and services to the market. IoT generates massive amounts of data, providing new insights into organizational performance and health. In remote manufacturing, for instance, sensors monitor production processes at multiple locations and transmit status updates to a centralized facility that employs ML to forecast machine failures, thereby reducing downtime. AI is crucial in tackling security challenges that arise with IoT implementations.
The healthcare sector in North America has embraced AI toolkits for medical imaging, disease diagnosis, drug discovery, and patient care, among other applications. The demand for AI-driven healthcare solutions has boosted toolkit adoption. The financial industry in North America uses AI toolkits for algorithmic trading, risk assessment, fraud detection, and customer service. The United States ranks as the second-largest region globally in terms of both vehicle production and sales. 5 million vehicles were manufactured in the United States by global automakers in 2020, according to Autos Drive America. Due to these aspects, the market will expand across the North America region in upcoming years.
The US region dominated the North America Artificial Intelligence (AI) Toolkit Market by Country in 2022 and would continue to be a dominant market till 2030; thereby, achieving a market value of $44,380.8 million by 2030. The Canada region is experiencing a CAGR of 36.4% during (2023 - 2030). Additionally, The Mexico region would exhibit a CAGR of 35.3% during (2023 - 2030).
Based on Component, the market is segmented into Software, Hardware (Processors, Accelerators, Others), and Services. Based on Technology, the market is segmented into Natural Language Processing, Computer Vision, Machine Learning, and Robotic Process Automation. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Government & Defense, Healthcare & Lifesciences, Media & Entertainment, Retail & Ecommerce, Automotive, Transportation & Logistics, Energy & Utilities, Manufacturing, 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 Microsoft Corporation, IBM Corporation, Google LLC, Oracle Corporation, NVIDIA Corporation, Thales Group S.A., Intel Corporation, Adobe, Inc., Salesforce, Inc. and DataRobot, Inc.
Scope of the Study
Market Segments Covered in the Report:
By Component- Software
- Hardware
- Processors
- Accelerators
- Others
- Services
- Natural Language Processing
- Computer Vision
- Machine Learning
- Robotic Process Automation
- BFSI
- IT & Telecom
- Government & Defense
- Healthcare & Lifesciences
- Media & Entertainment
- Retail & Ecommerce
- Automotive, Transportation & Logistics
- Energy & Utilities
- Manufacturing
- Others
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- IBM Corporation
- Google LLC
- Oracle Corporation
- NVIDIA Corporation
- Thales Group S.A.
- Intel Corporation
- Adobe, Inc.
- Salesforce, Inc.
- DataRobot, Inc.
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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 Artificial Intelligence (AI) Toolkit Market by Component
Chapter 6. North America Artificial Intelligence (AI) Toolkit Market by Technology
Chapter 7. North America Artificial Intelligence (AI) Toolkit Market by Vertical
Chapter 8. North America Artificial Intelligence (AI) Toolkit Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Microsoft Corporation
- IBM Corporation
- Google LLC
- Oracle Corporation
- NVIDIA Corporation
- Thales Group S.A.
- Intel Corporation
- Adobe, Inc.
- Salesforce, Inc.
- DataRobot, Inc.
Methodology
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