North America Artificial Intelligence Market Analysis and Forecast by Size, Share, Growth, Trends 2031
North America Artificial Intelligence Market Size and Forecast (2021 - 2031), Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component (Software, Hardware, and Services), Deployment (Cloud and On Premises), Organization Size (Large Enterprises and SMEs), and Industry Vertical (IT and Telecom, BFSI, Healthcare, Manufacturing, Retail and E-Commerce, Automotive, and Others)
Historic Data: 2021-2023 | Base Year: 2024 | Forecast Period: 2025-2031- Report Code : TIPRE00041503
- Category : Technology, Media and Telecommunications
- No. of Pages : 164
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The North America Artificial Intelligence Market size is expected to reach US$ 725.9 Billion by 2031 from US$ 79.2 Billion in 2024. The market is estimated to record a CAGR of 38.5% from 2025 to 2031.
Executive Summary and North America Artificial Intelligence Market Analysis:
The artificial intelligence market in North America has demonstrated strong growth and dynamic transformation, positioning the region as a global leader in AI innovation and adoption. This upward trajectory is fueled by key drivers such as rapid technological advancements and increased R&D investments, as well as the broad integration of AI solutions across multiple sectors. North America has become a premier hub for AI development, supported by a robust technology ecosystem, deep financial resources, and a concentration of world-class tech enterprises and research institutions. The US plays a pivotal role in shaping the global AI landscape, with substantial investments from both public and private sectors. Market leaders such as Google, Microsoft, and IBM are spearheading innovation in machine learning, natural language processing, and computer vision, among others. Meanwhile, a thriving startup environment backed by venture capital, accelerators, and incubators continues to drive AI commercialization and application across industries. Government-backed initiatives and funding programs are further reinforcing market momentum by advancing AI research, promoting responsible innovation, and addressing ethical and regulatory considerations.
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North America Artificial Intelligence Market Segmentation Analysis:
- By Component, the market is segmented into Software, Hardware, and Services. Software held the largest share of the market in 2024.
- By Deployment, the market is segmented into Cloud and On-Premises. Cloud held a larger share of the market in 2024.
- By Organization Size, the market is segmented into Large Enterprises and SMEs. Large Enterprises held a larger share of the market in 2024.
- By Industry Vertical, the market is segmented into IT and Telecom, BFSI, Healthcare, Manufacturing, Retail and E-Commerce, Automotive, and Others. IT and Telecom held the largest share of the market in 2024.
North America Artificial Intelligence Market Report Scope
| Report Attribute | Details |
|---|---|
| Market size in 2024 | US$ 79.2 Billion |
| Market Size by 2031 | US$ 725.9 Billion |
| CAGR (2025 - 2031) | 38.5% |
| Historical Data | 2021-2023 |
| Forecast period | 2025-2031 |
| Segments Covered |
By Component
|
| Regions and Countries Covered |
North America
|
| Market leaders and key company profiles |
|
North America Artificial Intelligence Market Players Density: Understanding Its Impact on Business Dynamics
The North America Artificial Intelligence Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
North America Artificial Intelligence Market Outlook
Artificial intelligence (AI) is used across industries such as healthcare, retail and e-commerce, and manufacturing. These industries use AI technology to automate repetitive tasks, enhance accuracy, and accelerate job completion. As a result, it allows staff members to focus on more complex activities while increasing their efficiency and production output. The uses and benefits of AI in industries are mentioned below:
Healthcare - AI is transforming the healthcare sector by improving diagnostics, personalizing treatment regimens, streamlining processes, and lowering costs. Healthcare organizations are using image-based AI models as diagnostic tools, which can speed up interpretation and lead to early disease identification. In September 2023, Paige AI, Inc. collaborated with Microsoft to develop the world's largest image-based AI models for digital pathology and oncology to fight cancer. The companies are developing a new AI model that is larger than any other image-based AI model existing today. Tuned to billions of parameters, this model would help to capture the nuanced intricacies of cancer and form the basis of future clinical applications and computational biomarkers, advancing the frontiers of oncology and pathology. In April 2025, FirstHx, a leader in AI-powered healthcare solutions, officially launched operations in the US, unveiling a patient intake platform intended to revolutionize the American healthcare experience. This strategic expansion builds on the platform's proven success in Canada and the Middle East, where it has enhanced the efficiency and accuracy of patient data collection and management.
Retail and e-commerce - The retail sector is experiencing digital transformation and shifting toward advanced data analytics solutions enabled by the Internet of Things (IoT) and AI. The adoption of AI facilitates improvements in speed, efficiency, and accuracy across diverse retail and e-commerce industry segments. As of May 2025, Shopify is giving its merchants a slew of new AI-powered tools designed to help them enhance the online shopping experience for their customers. These tools include an AI store builder for users to set up storefronts using a single prompt, as well as an AI generator for creating elements (e.g., banners) without knowing how to code. The platform also upgraded Sidekick, its AI commerce assistant, with new voice chat and screen-sharing capabilities.
Manufacturing - AI technology is highly adopted to achieve autonomous management of supply chains and undertake proactive maintenance by assessing the health of machinery and providing those insights to manufacturers, which allows rapid prototyping. Key companies are undertaking initiatives to support manufacturing industries in adopting AI. In January 2025, Accenture launched AI Refinery for Industry with a collection of 12 industry agent solutions to help organizations build and deploy a network of AI agents that can enhance their workforce, address industry-specific challenges, and drive business value faster. Such an announcement builds on Accenture's investments and leadership in driving generative AI reinvention for clients, having supported more than 2,000 projects for organizations across industries. Similarly, In May 2025, Infosys launched the Agentic AI Foundry, a comprehensive solution designed to accelerate the development and deployment of reliable production-grade AI agents. This initiative is part of Infosys Topaz, the company's AI-first suite of services, solutions, and platforms. The Foundry aims to transform businesses by enabling seamless integration of AI agents across business, operations, and IT ecosystems, driving faster decisions, improved customer experiences, and higher operational efficiency.
BFSI, telecommunications, scientific research, education, entertainment, agriculture, and construction industries are also adopting AI to automate their processes and lower manual work, propelling the market growth.
North America Artificial Intelligence Market Country Insights
By country, the North America Artificial Intelligence Market is segmented into the United States, Canada, and Mexico. The United States held the largest share in 2024.
The adoption of artificial intelligence technologies in the healthcare sector for medical diagnosis, data analysis, drug trials and development, pain management, patient outcome improvement, pharmaceuticals, and others is growing significantly. The AI plays a crucial role in diagnosing patients with specific diseases. Additionally, many leading pharmaceutical companies are incorporating AI into the drug discovery process, shortening the traditionally lengthy timeline for developing and bringing new drugs to market. Furthermore, key players in the country are entering the market with innovative patient technology. For instance, in April 2025, FirstHx (a pioneer in AI-powered healthcare technology) announced its expansion into the US market, introducing a revolutionary patient intake solution set to transform the American healthcare landscape. This strategic expansion comes after the platform's successful deployment in Canada and the Middle East, where it significantly enhanced efficiency and accuracy in managing patient data. FirstHx's AI-powered Patient Intake Solution allows for quick and accurate collection of medical histories directly from patients' smartphones before they arrive at a healthcare facility. This innovation seamlessly integrates with healthcare providers' electronic medical records (EMR), giving clinicians a complete picture of the patient's health from the start of the treatment.
North America Artificial Intelligence Market Company Profiles
Some of the key players operating in the market include Amazon Web Services Inc., International Business Machines Corp, Microsoft Corp, SAP SE, Google LLC, Accenture Plc, SAS Institute Inc., Intel Corp, NVIDIA Corp,and Advanced Micro Devices Inc
These players are adopting various strategies such as expansion, product innovation, and mergers and acquisitions to provide innovative products to their consumers and increase their market share.
North America Artificial Intelligence Market Research Methodology
The following methodology has been followed for the collection and analysis of data presented in this report:
Secondary Research
The research process begins with comprehensive secondary research, utilizing internal and external sources to gather qualitative and quantitative data for each market. Commonly referenced secondary research sources include, but are not limited to:
- Company websites, annual reports, financial statements, broker analyses, and investor presentations
- Industry trade journals and other relevant publications
- Government documents, statistical databases, and market reports
- News articles, press releases, and webcasts specific to companies operating in the market
Note:
All financial data included in the Company Profiles section has been standardized to US$. For companies reporting in other currencies, figures have been converted to US$ using the relevant exchange rates for the corresponding year.Primary Research
The Insight Partners conducts a significant number of primary interviews each year with industry stakeholders and experts to validate its data analysis and gain valuable insights. These research interviews are designed to:
- Validate and refine findings from secondary research
- Enhance the expertise and market understanding of the analysis team
- Gain insights into market size, trends, growth patterns, competitive dynamics, and future prospects
Primary research is conducted via email interactions and telephone interviews, encompassing various markets, categories, segments, and sub-segments across different regions. Participants typically include:
- Industry stakeholders: Vice Presidents, Business Development Managers, Market Intelligence Managers, and National Sales Managers
- External experts: Valuation specialists, research analysts, and key opinion leaders with industry-specific expertise
Ankita is a dynamic market research and consulting professional with over 8 years of experience across the technology, media, ICT, and electronics & semiconductor sectors. She has successfully led and delivered 100+ consulting and research assignments for global clients such as Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her core competencies include market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.
Ankita is adept at handling complete project cycles—from pre-sales proposal design and client discussions to post-sales delivery of actionable insights. She is skilled in managing cross-functional teams, structuring complex research modules, and aligning solutions with client-specific business goals. Her excellent communication, leadership, and presentation abilities have enabled her to consistently deliver value-driven outcomes in fast-paced and evolving market environments.
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Regional, Country
- Industry and Competitive Landscape
- Excel Dataset
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