Market Forecast by Countries (United States, Canada), By Vertical (BFSI, Healthcare , Life Sciences, Retail, Telecommunication, Government , Defense, Manufacturing), By Service (Professional Services, Managed Services), By Deployment Model (Cloud, On-premises), By Organization Size (SMEs, Large Enterprises) And Competitive Landscape
Product Code: ETC4621447 | Publication Date: Jul 2023 | Updated Date: Apr 2025 | Product Type: Report | |
Publisher: 6Wresearch | No. of Pages: 200 | No. of Figures: 90 | No. of Tables: 300 | |
Report Name | North America Machine Learning Market |
Forecast Period | 2025-2031 |
Forecast Size | USD 27.7 billion by 2031 |
CAGR | 15% |
Growing Sector | BFSI |
The North America Machine Learning Market Report thoroughly covers the market By Countries, By vertical, by service, by deployment model, by organization size. The market report provides an unbiased and detailed analysis of the ongoing market trends, opportunities/high growth areas, and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
North America Machine Learning Market was valued at USD 7.6 billion and is expected to reach USD 27.7 billion, growing at a CAGR of more than 15% from 2025 to 2031. Machine learning is a rapidly growing field in the technology sector, and North America has been at the forefront of its development. With major advancements in artificial intelligence and big data analytics, the demand for machine learning solutions has significantly increased in recent years.
The North America machine learning market is expected to witness significant growth over the forecast period of 2025-2031. This growth can be attributed to several key factors that are driving the adoption and implementation of machine learning technology in various industries across North America.
According to 6wresearch, the North America machine learning market size is expected to grow at a significant CAGR of 15% during the forecast period 2025-2031. The rapid growth of the North America machine learning market can be attributed to several factors. A primary driver is the increasing demand for automation and intelligent decision-making processes across industries. Advancements in artificial intelligence (AI) and big data analytics have enabled organizations to integrate machine learning into their operations, enhancing efficiency and profitability. The adoption of cloud-based services, which offer convenient access to machine learning tools and platforms, further accelerates market growth. Additionally, the proliferation of IoT devices and the need for real-time data analysis are fostering greater adoption of machine learning technologies. Government initiatives and investments in research and development also play a significant role in driving growth in this sector.
However, the market faces challenges, including a shortage of skilled professionals with expertise in machine learning. Moreover, concerns regarding data privacy and regulatory compliance pose obstacles to the market’s expansion despite its potential.
The adoption of Machine Learning across various industries is emerging as a significant trend in North America. Advancements in technology and the exponential growth of data have driven organizations to utilize Machine Learning algorithms for generating insights and making informed decisions. This has heightened demand for Machine Learning solutions in sectors such as healthcare, finance, retail, and manufacturing. Additionally, the growing adoption of cloud-based Machine Learning platforms is a key driver of market growth.
Cloud computing offers cost-effectiveness, scalability, and flexibility, enabling organizations to access Machine Learning tools without substantial investments in hardware or infrastructure. This has lowered entry barriers for smaller businesses, fostering wider adoption of Machine Learning solutions. Another pivotal trend is the integration of Machine Learning with emerging technologies like the Internet of Things (IoT) and Big Data analytics. This synergy facilitates automation, enhances operational efficiency, and provides deeper analytical insights, positioning organizations for competitive advantage. Collectively, these trends underscore the North American Machine Learning market's robust growth potential and innovation trajectory in the coming years.
The adoption of AI-driven solutions, particularly those leveraging machine learning algorithms, has become a cornerstone for businesses striving to maintain a competitive edge in today's dynamic digital environment. This trend spans diverse sectors, including healthcare, finance, retail, and manufacturing, fuelling significant investment in North America's machine learning market. North America hosts leading tech giants like Google, Microsoft, Amazon, and IBM, which are at the forefront of machine learning research and development.
hese companies not only attract direct investments but also foster opportunities for start-ups aiming to penetrate this market. Governments in the region actively support AI advancements, with initiatives such as Canada’s $125 million Pan-Canadian Artificial Intelligence Strategy and the U.S. National AI Research and Development Strategic Plan. The region's robust start-up ecosystem, featuring innovative firms like OpenAI, UiPath, and H2O.ai, further diversifies investment prospects. Coupled with its advanced infrastructure and research capabilities, North America remains a global leader in AI, offering unparalleled growth opportunities across industries.
North America is one of the leading regions in the global machine learning market, with a significant contribution to its growth and development. This can be attributed to various factors such as the presence of major tech giants like Google, Microsoft, IBM, and Amazon, who have been investing heavily in research and development of machine learning technologies.
Apart from these established players, there are also several emerging start-ups in North America that are making strides in the field of machine learning. These companies bring fresh ideas and innovative solutions to the market, further driving its growth. One such example is KAI Technologies, a Toronto-based startup that specializes in natural language processing (NLP) techniques for conversational AI. Their advanced algorithms have been used by major companies like Microsoft and Uber, making them a significant player in the North America machine learning market. Another leading player in this region is SAS Institute Inc., which offers a wide range of machine learning solutions to various industries such as healthcare, finance, and retail. With their strong presence in the North America market and advanced technologies like deep learning and neural networks, SAS has established itself as a key contributor to the growth of the machine learning industry.
Governments across North America have significantly invested in research and development (R&D) to advance emerging technologies like machine learning. These investments foster innovation, attract international talent, and drive market growth. Additionally, North American governments have launched initiatives to support start-ups, such as Canada’s Innovation Superclusters Initiative and U.S. programs like the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs. Public-private partnerships, including collaborations with companies like IBM, Microsoft, Google, and Amazon, further stimulate innovation and job creation. Regulatory frameworks, such as Canada's National Research Council program and U.S. oversight by the Federal Trade Commission, ensure ethical and safe AI adoption. These efforts contribute to the sustained growth of the machine learning market in North America.
The future outlook for the machine learning market in North America looks promising. The region leads in terms of technological advancements and adoption of new technologies, making it a lucrative market for machine learning solutions. With an increasing number of companies recognizing the benefits of incorporating machine learning into their operations, the demand for these solutions is expected to continue rising in the coming years.
Moreover, with ongoing research and development activities and collaborations between industry players and academic institutions, there is potential for further advancements and innovations in the field of machine learning in North America. Overall, the future looks bright for this market as it continues to play a crucial role in driving digital transformation across industries. So, businesses are likely to invest more in this technology to stay competitive in the rapidly evolving business landscape.
The report offers a comprehensive study of the subsequent market segments and their leading categories.
The United States holds the largest share of the North American machine learning market due to its strong technological infrastructure and investments in research and development. However, Canada is also emerging as a key player in this market due to its growing technology hubs and supportive government initiatives.
According to Dhaval, Research Manager, 6Wresearch, among these verticals, the BFSI (Banking, Financial Services and Insurance) sector is expected to lead the market from 2025 to 2031. With the increasing adoption of machine learning for fraud detection, risk management, and customer experience enhancement, the BFSI sector is experiencing a major transformation in its operations. This has led to a rise in demand for advanced machine learning solutions in the industry, making it one of the key drivers of market growth.
Professional services are expected to lead in terms of revenue generation during the forecast period. Professional services include consulting, implementation, and training services related to machine learning. With the rising complexity of machine learning algorithms and models, businesses are increasingly seeking guidance from experts to effectively implement these solutions into their operations.
Out of all organization sizes, it is expected that large enterprises will hold the largest share in the North America Machine Learning market during the forecast period. This can be attributed to their ability to invest in advanced technologies and their larger data sets, which are necessary for successful implementation of Machine Learning algorithms.
The report offers a comprehensive study of the subsequent market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 North America Machine Learning Market Overview |
3.1 North America Regional Macro Economic Indicators |
3.2 North America Machine Learning Market Revenues & Volume, 2021 & 2031F |
3.3 North America Machine Learning Market - Industry Life Cycle |
3.4 North America Machine Learning Market - Porter's Five Forces |
3.5 North America Machine Learning Market Revenues & Volume Share, By Countries, 2021 & 2031F |
3.6 North America Machine Learning Market Revenues & Volume Share, By Vertical , 2021 & 2031F |
3.7 North America Machine Learning Market Revenues & Volume Share, By Service, 2021 & 2031F |
3.8 North America Machine Learning Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.9 North America Machine Learning Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
4 North America Machine Learning Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 North America Machine Learning Market Trends |
6 North America Machine Learning Market, 2021 - 2031 |
6.1 North America Machine Learning Market, Revenues & Volume, By Vertical , 2021 - 2031 |
6.2 North America Machine Learning Market, Revenues & Volume, By Service, 2021 - 2031 |
6.3 North America Machine Learning Market, Revenues & Volume, By Deployment Model, 2021 - 2031 |
6.4 North America Machine Learning Market, Revenues & Volume, By Organization Size, 2021 - 2031 |
7 United States Machine Learning Market, 2021 - 2031 |
7.1 United States Machine Learning Market, Revenues & Volume, By Vertical , 2021 - 2031 |
7.2 United States Machine Learning Market, Revenues & Volume, By Service, 2021 - 2031 |
7.3 United States Machine Learning Market, Revenues & Volume, By Deployment Model, 2021 - 2031 |
7.4 United States Machine Learning Market, Revenues & Volume, By Organization Size, 2021 - 2031 |
8 Canada Machine Learning Market, 2021 - 2031 |
8.1 Canada Machine Learning Market, Revenues & Volume, By Vertical , 2021 - 2031 |
8.2 Canada Machine Learning Market, Revenues & Volume, By Service, 2021 - 2031 |
8.3 Canada Machine Learning Market, Revenues & Volume, By Deployment Model, 2021 - 2031 |
8.4 Canada Machine Learning Market, Revenues & Volume, By Organization Size, 2021 - 2031 |
9 North America Machine Learning Market Key Performance Indicators |
10 North America Machine Learning Market - Opportunity Assessment |
10.1 North America Machine Learning Market Opportunity Assessment, By Countries, 2021 & 2031F |
10.2 North America Machine Learning Market Opportunity Assessment, By Vertical , 2021 & 2031F |
10.3 North America Machine Learning Market Opportunity Assessment, By Service, 2021 & 2031F |
10.4 North America Machine Learning Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
10.5 North America Machine Learning Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
11 North America Machine Learning Market - Competitive Landscape |
11.1 North America Machine Learning Market Revenue Share, By Companies, 2024 |
11.2 North America Machine Learning Market Competitive Benchmarking, By Operating and Technical Parameters |
12 Company Profiles |
13 Recommendations |
14 Disclaimer |