U.S. Artificial Intelligence (AI) Market Size, Share, and Trends 2024 to 2034

The U.S. artificial intelligence (AI) market size was USD 123.07 billion in 2023, calculated at USD 146.09 billion in 2024 and is expected to reach around USD 851.46 billion by 2034, expanding at a CAGR of 19.3% from 2024 to 2034.

  • Last Updated : August 2024
  • Report Code : 4294
  • Category : ICT

U.S. Artificial Intelligence (AI) Market Size and Growth 2024 to 2034

The U.S. artificial intelligence (AI) market size accounted for USD 146.09 billion in 2024 and is expected to reach around USD 851.46 billion by 2034, expanding at a CAGR of 19.3% from 2024 to 2034. The rising demand for artificial intelligence for improving the efficiency and productivity in the businesses that drives teh expansion of the market.

Artificial Intelligence (AI) Market Size in US 2024 to 2034

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U.S. Artificial Intelligence (AI) Market Key Takeaways

  • By solution, the services segment dominated the market with a share of 39.7% in 2023.
  • By technology, the deep learning segment dominated the market with a share of 36.53% in 2023.
  • By end use, the BFSI  segment dominated the market with a share of 16.9% in 2023.

Market Overview

Artificial intelligence is the recent advancements in technology, it is the computer systems that allows to perform the complex tasks like analysis, reasoning, solving problems, and making decisions. Artificial intelligence is used in a wide range of applications and industries like healthcare, telecommunications, automotive, electronics, and others. Artificial intelligence plays an important role in the business operations to automate the tasks including consumer service work, fraud detection, lead generation and quality control. The artificial intelligence is helps in increasing efficiency and creates the various new opportunities for the growth of the U.S. artificial intelligence market.

U.S. Artificial Intelligence (AI) Market Growth Factors

  • The rising adoption of artificial intelligence in the various commercial and personal purposes that driving the expansion of the artificial intelligence in the market.
  • The rising artificial intelligence application in the various industrial process such as healthcare, consumer electronics, automotive, and others in the United States is driving the growth of the U.S. artificial intelligence market.
  • The increasing technological adoption and the integration of smart technologies in the commercial and domestic applications accelerated the demand for artificial intelligence in the market.
  • The artificial intelligence organization are continuously engaging in the collaboration and partnership for advancements in the technologies are further contributing in the growth of the U.S. artificial intelligence market.
  • The advancement in the AI-chatbots and virtual assistants is highly used in customer service and support that aims to improve the customer experience is driving the growth of the market.

Market Scope

Report Coverage Details
Growth Rate from 2024 to 2034 CAGR of 19.3%
Market Size in 2023 USD 123.07 Billion
Market Size in 2024 USD 146.09 Billion
Market Size by 2034 USD 851.46 Billion
Base Year 2023
Forecast Period 2024 to 2034
Segments Covered By Solution, By Technology, and By End Use

Market Dynamics

Driver: Artificial intelligence in healthcare

The rising adoption of the artificial intelligence technologies in the healthcare sector in the applications like medical diagnosis, data analysis, drug trials and development, pain management, improving patient outcomes, in pharmaceuticals and others contributing to the growth of the U.S. artificial intelligence market. Artificial intelligence helps in the diagnosis of patients with specific diseases. The number of major pharmaceutical industry is integrating the artificial intelligence for helping in the drug discovery process and reduces the lengthy process of discovering and launching drugs to the market.

Artificial intelligence also helps with the huge amount of data set aiming to help the physician to make informed decisions and manage the patient information effectively. It also helps in the personalized medicine for the better treatment with analyzing the patient data and identifying treatment options. The increasing investment by the U.S. government and major industry leaders on the integration of artificial intelligence, machine learning, and other technologies in the healthcare industry is accelerating the growth of the U.S. artificial intelligence market.

Restraint: Lack of skilled professionals

Shortage of the skilled professionals and the high cost of implementation of AI solutions in the organizations are the major factors that are limiting the expansion of the U.S. artificial intelligence U.S. artificial intelligence market. However, the emergence of Ai-related courses in academics to leverage the significance of AI in multiple industries in the United States is observed to create a solution for the hindering factor.

Opportunity: The investments on the AI research and development

Key players in the United States are focused on increasing federal investment in the artificial intelligence research and development in the collaboration with the academia, industries, international alliances and partners and other non-governmental entities for generating advancement in the artificial intelligence. The United States is investing on the research on the minimizing the challenges for the safer testing, development, deployment, and adaptation of AI technologies. The collaboration of the public and private sector allows strategic leveraging of resources, expertise, and datasets. It also enhances the transformation in research innovations to practices using expertise to published research into the services and products to the marketplace for economic growth.

Solution Insights

The services segment dominated the U.S. artificial intelligence market with the share of 39.70% in 2023. Artificial intelligence as a service is employed in large enterprises as well as small enterprises. The employment of artificial intelligence is necessary especially with the amount of advantages Al offers in business management. Additionally, the field of artificial intelligence has experienced ground-breaking advancements in recent times and machine learning techniques have the ability to provide promising results to companies.

As a service, Al can be employed in any branched company especially in current times. Companies that adopt Al and machine learning benefit from a reduction in overall costs as it allows them to cut down the cost on development and research by providing the information by Al, without getting financially involved with the third-party companies.

Further, along with the cost, Al also assists the companies in speeding up the work. Additionally, the Al service provides the company with the required training in how to code and thereby develop complex multi-level infrastructure and hire experts. Also, these services allow the company to customize by corresponding with the data, business and project's needs.

U.S. Artificial Intelligence (AI) Market Share, By Solution, 2023 (%)

The software segment is expected to show significant growth in the market during the forecast period. Artificial Intelligence as a software is making a wider shift in many sectors as Al systems streamline software development process such as quality testing. Code compilation and reduction of costs and time are a few significant advantages of the same. For example, Al software tools of Google cloud allow developers to work on machine learning design in a cost-effective and time saving manner.

Also, it allows the access of various pre- trained cloud API in order to build machine learning applications such as natural language, computer vision, translation, video, etc. Furthermore, Al as a software enables the execution of complex tasks without any cost outlays. Also, it drives down the time that is used in performing a task. Furthermore, Al software can be operated 24/7 without any interruption or any down time as well as Al software plays with a huge data and reduces human errors, automates the repetitive tasks and processes and facilities quick decision making.

On macro level, the Al services for the organizations are used for:

  • Inventory Maintenance: Maintaining inventory can be a time-taking and tedious task especially in the large enterprises that deal with huge amounts of it. Inculcation of Al makes it easy to systemize and saves a lot of time and efforts.
  • Complex data analysis: Large enterprises as well as small enterprises employ Al services for segregating the data. Complex data and factsheets are difficult to calculate manually but use of Al makes it simple and understandable.
  • Reduction of work pressure: Use of chatbots for customer queries, handling comments can ease multiple tasks and reduces the pressure on employee's and they can focus on other work thereby increasing the efficiency of the company.
  • Help in research and development: Information provided by Al helps the organization to employ that information for further research rather than making use of third-party.

Technology Insights

The deep learning segment held the largest share of 36.53% of the U.S. artificial intelligence market in 2023. Deep learning algorithms, particularly neural networks, have demonstrated superior accuracy in complex tasks such as image and speech recognition, natural language processing, and predictive analytics. This high level of precision makes deep learning indispensable for AI applications where accuracy is paramount. 

U.S. Artificial Intelligence (AI) Market Share, By Technology, 2023 (%)

Companies are leveraging deep learning to innovate and create new products and services, contributing to the segment’s rapid growth. There has been substantial investment in deep learning research and development from both the private sector and government agencies. This influx of capital has fueled advancements and innovation in the field, leading to more robust and versatile deep learning models.

End-use Insights

The BFSI segment dominated the U.S. artificial intelligence market with an 19.9% market share in 2023. The adoption of artificial intelligence in the banking and financial sector increases efficiency in operations and enhances their customer centricity. It has a wide range of applications across middle, front, and back office of the BFSI industry. AI is used in finance, human resources operations, IT operations, application maintenance, and data centers.

U.S. Artificial Intelligence (AI) Market Companies

  • AiCure
  • Atomwise, Inc.
  • Ayasdi AI LLC
  • Clarifai, Inc
  • Cyrcadia Health
  • Enlitic, Inc.
  • Google LLC
  • H2O.ai.
  • HyperVerge, Inc.
  • International Business Machines Corporation
  • IBM Watson Health
  • Intel Corporation
  • Microsoft
  • NVIDIA Corporation
  • Sensely, Inc.

Recent Developments

  • In May 2024, The Department of Homeland Security (DHS) is regulating artificial intelligence for training officers for reviewing refugee status applicants in the United States.
  • In May 2024, Mechanoid, a leading players in the automation and business optimization announced the launch of new software for the transformation of small business sales and marketing by artificial intelligence (AI) and automation.

Segments Covered in the Report

By Solution

  • Hardware
  • Software
  • Services

By Technology

  • Deep Learning 
  • Machine Learning 
  • NLP
  • Machine Vision

By End-use

  • Healthcare
  • BFSI
  • Law
  • Retail
  • Advertising & Media
  • Automotive & Transportation
  • Agriculture
  • Manufacturing 
  • Others

Frequently Asked Questions

The U.S. artificial intelligence (AI) market size is expected to increase USD 851.46 billion by 2034 from USD 123.07 billion in 2023.

The U.S. artificial intelligence (AI) market will register growth rate of 19.3% between 2024 and 2034.

The major players operating in the U.S. artificial intelligence (AI) market are AiCure, Atomwise, Inc., Ayasdi AI LLC, Clarifai, Inc, Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Microsoft, NVIDIA Corporation, Sensely, Inc., and Others.

The driving factors of the U.S. artificial intelligence (AI) market are the rising artificial intelligence application in the various industrial and increasing technological adoption and the integration of smart technologies.

U.S. Artificial Intelligence (AI) Market

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on U.S. Artificial Intelligence (AI) Market 

5.1. COVID-19 Landscape: U.S. Artificial Intelligence (AI) Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact:  Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8.  U.S. Artificial Intelligence (AI) Market, By Solution

8.1. U.S. Artificial Intelligence (AI) Market, by Solution, 2024-2034

8.1.1 Hardware

8.1.1.1. Market Revenue and Forecast (2021-2034)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2021-2034)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2021-2034)

Chapter 9.  U.S. Artificial Intelligence (AI) Market, By Technology

9.1. U.S. Artificial Intelligence (AI) Market, by Technology, 2024-2034

9.1.1. Deep Learning

9.1.1.1. Market Revenue and Forecast (2021-2034)

9.1.2. Machine Learning

9.1.2.1. Market Revenue and Forecast (2021-2034)

9.1.3. NLP

9.1.3.1. Market Revenue and Forecast (2021-2034)

9.1.4. Machine Vision

9.1.4.1. Market Revenue and Forecast (2021-2034)

Chapter 10.  U.S. Artificial Intelligence (AI) Market, By End-use 

10.1. U.S. Artificial Intelligence (AI) Market, by End-use, 2024-2034

10.1.1. Healthcare

10.1.1.1. Market Revenue and Forecast (2021-2034)

10.1.2. BFSI

10.1.2.1. Market Revenue and Forecast (2021-2034)

10.1.3. Law

10.1.3.1. Market Revenue and Forecast (2021-2034)

10.1.4. Retail

10.1.4.1. Market Revenue and Forecast (2021-2034)

10.1.5. Advertising & Media

10.1.5.1. Market Revenue and Forecast (2021-2034)

10.1.6. Automotive & Transportation

10.1.6.1. Market Revenue and Forecast (2021-2034)

10.1.7. Agriculture

10.1.7.1. Market Revenue and Forecast (2021-2034)

10.1.8. Manufacturing

10.1.8.1. Market Revenue and Forecast (2021-2034)

10.1.9. Others

10.1.9.1. Market Revenue and Forecast (2021-2034)

Chapter 11.  U.S. Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast

11.1. U.S.

11.1.1. Market Revenue and Forecast, by Solution (2021-2034)

11.1.2. Market Revenue and Forecast, by Technology (2021-2034)

11.1.3. Market Revenue and Forecast, by End-use (2021-2034)

Chapter 12. Company Profiles

12.1. AiCure

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Atomwise, Inc.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Ayasdi AI LLC

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Clarifai, Inc

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Cyrcadia Health

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Enlitic, Inc.

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Google LLC

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. H2O.ai.

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. HyperVerge, Inc.

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. International Business Machines Corporation

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

 

14.2. Glossary of Terms

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