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The North America artificial intelligence market size reached approximately USD 45.90 billion in 2023. The market is projected to grow at a CAGR of 25.7% between 2024 and 2032, reaching a value of around USD 337.83 billion by 2032.
Region | AI Gains | Job Demand | Job Creation |
North America | 14.5% boost by 2030 | Surge in demand for robotics engineers, data scientists, and other tech specialists | 35,000 innovative jobs in Canada over the next 5 years |
Artificial intelligence is a discipline of technology under which computer systems can perform tasks that are on par with human intelligence and cognitive skills such as decision-making and reasoning, among others. It can aid with complex problem-solving solving, provide automation of routine tasks, and offer data analysis assistance.
The North America artificial intelligence market expansion is being aided by the development of learning machines, rising availability of data, and surging storage and computing capabilities. The increasing application of AI in fraud detection, virtual customer assistance (VCA), and automotive innovations are aiding the market growth.
The military sector is also harnessing the capabilities of AI in its weapons and equipment such as drones, grenades, surveillance systems, aerial vehicles, and missiles, among others, to offer remote functionalities and enhanced protection to military personnel.
Rising adoption of large language models (LLM), growing popularity of AI avatars, increasing application of AI in the military sector, and surging deployment of AI in e-commerce channels are the major trends impacting the market growth
Date | Company | Event |
Jan 18th 2024 | Cognizant, Microsoft | Launch of Innovation Assistant, an AI-powered tool built on Microsoft Azure OpenAI Service to drive Bluebolt, Cognizant’s internal innovation programme |
Jan 12th 2024 | OpenAI | Updated policy to allow usage of its AI program for military and warfare to strengthen national security |
Nov 7th 2023 | IBM | Launched a USD 500 million venture fund for investing in AI companies and accelerating the growth of generative AI to support responsible and effective AI deployment |
Sep 6th 2023 | Temenos | Launched a secure generative AI solution to support banks automatically and securely classify customers’ transactions and offer them personalised experiences |
Trend | Description |
Burgeoning adoption of large language models (LLM) | The growing adoption of LLM models, through which AI can understand the nuance and context of text and provide accurate content, is driving the North America artificial intelligence market growth. |
Rising popularity of AI avatars | As AI avatars can improve human-computer interactions and create an immersive and engaging experience, their utilisation in different sectors is increasing. |
Growing use of AI in the military sector | The military sector harnesses AI capabilities in weapons and equipment to offer enhanced protection to military personnel. |
Rising Deployment of AI in e-commerce channels | With the growing customer demand for immersive experiences, AI is deployed in e-commerce channels to improve product recommendations and drive automation. |
Market players in the region are increasingly launching new AI-based products for the e-commerce sector to offer a better shopping experience. For example, in January 2024, Google Cloud, based in the US, launched several GenAI products such as Conversational Commerce Solution that allows shoppers to chat with AI-powered agents in natural language.
The burgeoning popularity of AI avatars, which construct the digital image of a human in a virtual setting, to offer an immersive experience is a prominent trend supporting the North America artificial intelligence market growth. They can be used for the purpose of video chatbots, virtual brand representatives, virtual customer agents, and game characters, among others.
The EMR’s report titled “North America Artificial Intelligence Market Report and Forecast 2024-2032” offers a detailed analysis of the market based on the following segments:
Market Breakup | Categories |
Offering | Hardware, Software, Services |
Deployment Mode | On-Premise, Cloud |
Technology | Machine Learning, Natural Language Processing, Computer Vision, Generative AI |
Business Function | Sales and Marketing, Supply Chain Management, Finance and Accounting, Operations, Human Resource Management, Security, Legal and Compliance |
End User | Healthcare, Retail, IT and Telecom, BFSI, Automotive, Manufacturing, Media and Entertainment, Others |
Region | United States of America, Canada |
Natural language processing is further bifurcated based on type into natural language understanding (NLU) and natural language generation (NLG). Meanwhile, generative AI is further divided based on type into generative adversarial networks (GANs), transformers, variational auto-encoders, and diffusion networks.
Machine Learning Occupies a Significant North America Artificial Intelligence Market Share, Due to Its Use in Image and Voice Recognition
Machine learning occupies a significant portion of market share, due to the growing usage of machine learning in voice recognition systems such as Amazon Echo. Image recognition is another prominent application of ML, which uses deep learning models to recognise images from visual data sets.
This technology is further utilised to map the unusual behaviour of people in video surveillance and create an alert for the security personnel and guards in that area to prevent any potential incident. Furthermore, it can be used to offer post suggestions on social media platforms, depending upon the user behaviour.
The deployment of AI in the media and entertainment sector is growing, aided by the increasing demand for personalised recommendations
As per the North America artificial intelligence market analysis, the media and entertainment sector accounts for a major market share as filmmakers and scriptwriters are relying on AI to generate valuable insights from box office hits and audience choices for their next scripts. Streaming platforms such as Amazon Prime, Hulu, and Netflix, among others, use AI algorithms to study user behaviour and offer them personalised recommendations.
Moreover, the healthcare sector is also anticipated to gain robust growth in the coming years, due to the growing usage of AI-based robots in surgery assistance. Meanwhile, in the retail sector, artificial intelligence is used to reduce shrinkage, optimise business processes, and forecast, inform, and process data to support retailers make data-driven business decisions.
Some of the leading North America artificial intelligence market players analysed in the market study are
Company Name | Founded | Headquarters | Description |
NVIDIA Corp. | 1993 | California, US | Global leader in AI technology, offering solutions in sectors such as architecture, automotive, energy, healthcare and life sciences, and robotics. |
OpenAI, L.L.C | 2015 | California, US | AI research group with acclaimed AI platform ChatGPT, used for tasks such as textual applications, coding applications, and debugging. |
Salesforce, Inc. | 1999 | California, US | Cloud-based software corporation offering services in AI, analytics, commerce, data cloud, and sales. |
Applied Brain Research, Inc. | 2013 | Ontario, Canada | Technology company aiming to simplify development of AI models and offer advanced AI capabilities free from cloud connectivity, with implementation of nonlinear adaptive control. |
Other key players included in the North America artificial intelligence market are Microsoft Corp., Amazon Web Services, Inc., Cisco Systems, Inc., Alphabet Inc., Intel Corporation, International Business Machines Corporation., Oracle Corp., SAP SE, Meta Platforms Inc., Hewlett Packard Enterprise Development LP, and SAS Institute Inc., among others.
The United States of America accounts for a significant portion of the North America artificial intelligence market share as it is home to leading companies such as Apple, Microsoft, Google, and Intel. Extensive venture capital fundings and private investments in AI startups in the country also supports the market expansion. In addition to this, the US is a leading developer of computer chips and traditional semiconductors that play an integral role in AI systems.
Governments in the country are also introducing various initiatives to expand and improve AI talent. For instance, in May 2023, the US National Science Foundation collaborated with educational institutions, federal agencies, and stakeholders to invest USD 140 million for the establishment of seven National Artificial Intelligence Research Institutes to diversify the AI workforce in the country.
Meanwhile, Canada houses a vibrant artificial intelligence (AI) ecosystem encompassing generative AI vendors, venture capital firms, AI enterprises and start-ups, and research labs. Increasing research and development (R&D) activities aimed at advancing AI, deep AI talent pool, and rising number of AI patents in the country are positively influencing the overall North America artificial intelligence market.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Offering |
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Breakup by Deployment Mode |
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Breakup by Technology |
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Breakup by Business Function |
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Breakup by End Use |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
7 Opportunities and Challenges in the Market
8 Global Artificial Intelligence Market Overview
8.1 Key Industry Highlights
8.2 Global Artificial Intelligence Historical Market (2018-2023)
8.3 Global Artificial Intelligence Market Forecast (2024-2032)
8.4 Global Artificial Intelligence Market Share by Region
8.4.1 North America
8.4.2 Europe
8.4.3 Asia Pacific
8.4.4 Latin America
8.4.5 Middle East and Africa
9 North America Artificial Intelligence Market Overview
9.1 Key Industry Highlights
9.2 North America Artificial Intelligence Historical Market (2018-2023)
9.3 North America Artificial Intelligence Market Forecast (2024-2032)
10 North America Artificial Intelligence Market by Offering
10.1 Hardware
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Software
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 Service
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
11 North America Artificial Intelligence Market by Deployment Mode
11.1 On-Premise
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Cloud
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
12 North America Artificial Intelligence Market by Technology
12.1 Machine Learning
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Natural Language Processing
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.2.3 Breakup by Type
12.2.3.1 Natural Language Understanding (NLU)
12.2.3.2 Natural Language Generation (NLG)
12.3 Computer Vision
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Generative AI
12.4.1 Historical Trend (2018-2023)
12.4.2 Forecast Trend (2024-2032)
12.4.3 Breakup by Type
12.4.3.1 Generative Adversarial Networks (GANs)
12.4.3.2 Transformers
12.4.3.3 Variational Auto-encoders
12.4.3.4 Diffusion Networks
13 North America Artificial Intelligence Market by Business Function
13.1 Sales and Marketing
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 Supply Chain Management
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Finance and Accounting
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 Operations
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Human Resource Management
13.5.1 Historical Trend (2018-2023)
13.5.2 Forecast Trend (2024-2032)
13.6 Security
13.6.1 Historical Trend (2018-2023)
13.6.2 Forecast Trend (2024-2032)
13.7 Legal and Compliance
13.7.1 Historical Trend (2018-2023)
13.7.2 Forecast Trend (2024-2032)
14 North America Artificial Intelligence Market by End Use
14.1 Healthcare
14.1.1 Historical Trend (2018-2023)
14.1.2 Forecast Trend (2024-2032)
14.2 Retail
14.2.1 Historical Trend (2018-2023)
14.2.2 Forecast Trend (2024-2032)
14.3 IT and Telecom
14.3.1 Historical Trend (2018-2023)
14.3.2 Forecast Trend (2024-2032)
14.4 BFSI
14.4.1 Historical Trend (2018-2023)
14.4.2 Forecast Trend (2024-2032)
14.5 Automotive
14.5.1 Historical Trend (2018-2023)
14.5.2 Forecast Trend (2024-2032)
14.6 Manufacturing
14.6.1 Historical Trend (2018-2023)
14.6.2 Forecast Trend (2024-2032)
14.7 Media and Entertainment
14.7.1 Historical Trend (2018-2023)
14.7.2 Forecast Trend (2024-2032)
14.8 Others
15 North America Artificial Intelligence Market by Country
15.1 United States of America
15.1.1 Historical Trend (2018-2023)
15.1.2 Forecast Trend (2024-2032)
15.2 Canada
15.2.1 Historical Trend (2018-2023)
15.2.2 Forecast Trend (2024-2032)
16 Market Dynamics
16.1 SWOT Analysis
16.1.1 Strengths
16.1.2 Weaknesses
16.1.3 Opportunities
16.1.4 Threats
16.2 Porter’s Five Forces Analysis
16.2.1 Supplier’s Power
16.2.2 Buyer’s Power
16.2.3 Threat of New Entrants
16.2.4 Degree of Rivalry
16.2.5 Threat of Substitutes
16.3 Key Indicators of Demand
16.4 Key Indicators of Price
17 Competitive Landscape
17.1 Market Structure
17.2 Company Profiles
17.2.1 Microsoft Corp.
17.2.1.1 Company Overview
17.2.1.2 Product Portfolio
17.2.1.3 Demographic Reach and Achievements
17.2.1.4 Certifications
17.2.2 Amazon Web Services, Inc.
17.2.2.1 Company Overview
17.2.2.2 Product Portfolio
17.2.2.3 Demographic Reach and Achievements
17.2.2.4 Certifications
17.2.3 Cisco Systems, Inc.
17.2.3.1 Company Overview
17.2.3.2 Product Portfolio
17.2.3.3 Demographic Reach and Achievements
17.2.3.4 Certifications
17.2.4 NVIDIA Corp.
17.2.4.1 Company Overview
17.2.4.2 Product Portfolio
17.2.4.3 Demographic Reach and Achievements
17.2.4.4 Certifications
17.2.5 OpenAI, L.L.C.
17.2.5.1 Company Overview
17.2.5.2 Product Portfolio
17.2.5.3 Demographic Reach and Achievements
17.2.5.4 Certifications
17.2.6 Alphabet Inc.
17.2.6.1 Company Overview
17.2.6.2 Product Portfolio
17.2.6.3 Demographic Reach and Achievements
17.2.6.4 Certifications
17.2.7 Intel Corporation.
17.2.7.1 Company Overview
17.2.7.2 Product Portfolio
17.2.7.3 Demographic Reach and Achievements
17.2.7.4 Certifications
17.2.8 International Business Machines Corporation.
17.2.8.1 Company Overview
17.2.8.2 Product Portfolio
17.2.8.3 Demographic Reach and Achievements
17.2.8.4 Certifications
17.2.9 Salesforce, Inc.
17.2.9.1 Company Overview
17.2.9.2 Product Portfolio
17.2.9.3 Demographic Reach and Achievements
17.2.9.4 Certifications
17.2.10 Oracle Corp.
17.2.10.1 Company Overview
17.2.10.2 Product Portfolio
17.2.10.3 Demographic Reach and Achievements
17.2.10.4 Certifications
17.2.11 SAP SE
17.2.11.1 Company Overview
17.2.11.2 Product Portfolio
17.2.11.3 Demographic Reach and Achievements
17.2.11.4 Certifications
17.2.12 Meta Platforms Inc.
17.2.12.1 Company Overview
17.2.12.2 Product Portfolio
17.2.12.3 Demographic Reach and Achievements
17.2.12.4 Certifications
17.2.13 Hewlett Packard Enterprise Development LP
17.2.13.1 Company Overview
17.2.13.2 Product Portfolio
17.2.13.3 Demographic Reach and Achievements
17.2.13.4 Certifications
17.2.14 SAS Institute Inc.
17.2.14.1 Company Overview
17.2.14.2 Product Portfolio
17.2.14.3 Demographic Reach and Achievements
17.2.14.4 Certifications
17.2.15 Applied Brain Research, Inc.
17.2.15.1 Company Overview
17.2.15.2 Product Portfolio
17.2.15.3 Demographic Reach and Achievements
17.2.15.4 Certifications
17.2.16 Others
18 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Artificial Intelligence Market: Key Industry Highlights, 2018 and 2032
2. North America Artificial Intelligence Market: Key Industry Highlights, 2018 and 2032
3. North America Artificial Intelligence Historical Market: Breakup by Offering (USD Billion), 2018-2023
4. North America Artificial Intelligence Market Forecast: Breakup by Offering (USD Billion), 2024-2032
5. North America Artificial Intelligence Historical Market: Breakup by Deployment Mode (USD Billion), 2018-2023
6. North America Artificial Intelligence Market Forecast: Breakup by Deployment Mode (USD Billion), 2024-2032
7. North America Artificial Intelligence Historical Market: Breakup by Technology (USD Billion), 2018-2023
8. North America Artificial Intelligence Market Forecast: Breakup by Technology (USD Billion), 2024-2032
9. North America Artificial Intelligence Historical Market: Breakup by Business Function (USD Billion), 2018-2023
10. North America Artificial Intelligence Market Forecast: Breakup by Business Function (USD Billion), 2024-2032
11. North America Artificial Intelligence Historical Market: Breakup by End Use (USD Billion), 2018-2023
12. North America Artificial Intelligence Market Forecast: Breakup by End Use (USD Billion), 2024-2032
13. North America Artificial Intelligence Historical Market: Breakup by Country (USD Billion), 2018-2023
14. North America Artificial Intelligence Market Forecast: Breakup by Country (USD Billion), 2024-2032
15. North America Artificial Intelligence Market Structure
In 2023, the market reached an approximate value of USD 45.90 billion.
The market is projected to grow at a CAGR of 25.7% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032, reaching a value of around USD 337.83 billion by 2032.
The major market drivers are the growing usage of AI in multiple end-use sectors such as healthcare and finance, increased penetration of the internet, and technological innovations.
The key trends of the market include the rising trend of large language models (LLM), the usage of AI by the military sector, the burgeoning popularity of AI avatars, and the launch of new AI-based products for the e-commerce sector.
The major countries are the United States of America and Canada.
Various technologies are machine learning, natural language processing, computer vision, and generative AI.
The key players in the market are Microsoft Corp., Amazon Web Services, Inc., Cisco Systems, Inc., NVIDIA Corp., OpenAI, L.L.C, Alphabet Inc., Intel Corporation, International Business Machines Corporation., Salesforce, Inc., Oracle Corp., SAP SE, Meta Platforms Inc., Hewlett Packard Enterprise Development LP, SAS Institute Inc., and Applied Brain Research, Inc., among others.
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