Machine Learning - United States

The Artificial Intelligence market in the United States is witnessing an exceptional growth rate, driven by the increasing adoption of Machine Learning technologies, growing awareness about the benefits of AI in healthcare, and the convenience of online health services. This extraordinary growth is being impacted by the rapid advancements in AI and its potential to revolutionize the healthcare industry.

Customer preferences: As the use of artificial intelligence continues to expand in the United States, we are seeing a growing trend towards the integration of machine learning in various industries, such as healthcare, finance, and retail. This is driven by a desire for more efficient and accurate decision-making processes, as well as the increasing availability of data and advancements in technology. Additionally, there is a growing demand for personalized and customized experiences, leading to a rise in the use of machine learning algorithms to analyze consumer behavior and preferences.

Trends in the market: In the United States, the Machine Learning market is experiencing a surge in demand for predictive analytics solutions, as businesses seek to enhance their decision-making processes. This trend is expected to continue, with a projected growth rate of 42% from 2020 to 2027. This shift towards data-driven decision-making has significant implications for industries such as finance, healthcare, and retail, as it enables them to optimize operations, improve customer experience, and increase revenue. Additionally, the adoption of machine learning is also expected to lead to the creation of new job opportunities and drive innovation in the development of advanced AI technologies.

Local special circumstances: In the United States, the Machine Learning Market within the Artificial Intelligence Market is experiencing significant growth due to the country's advanced technological infrastructure and strong investment in AI research and development. Additionally, the presence of major tech companies and startups in the country is driving innovation and adoption of machine learning technologies. Furthermore, strict data privacy regulations, such as the General Data Protection Regulation (GDPR), are influencing the development of ethical and responsible AI practices.

Underlying macroeconomic factors: The Machine Learning Market within the Artificial Intelligence Market in the United States is heavily influenced by macroeconomic factors such as technological advancements, government support, and investment in research and development. The country's strong economic growth, high levels of digitalization, and robust financial support for AI initiatives have contributed to the rapid expansion of the market. Furthermore, the increasing demand for automation and data-driven solutions in various industries, coupled with the rising adoption of artificial intelligence in healthcare, is driving the growth of the Machine Learning Market in the United States.

Data coverage: The data encompasses B2B, B2G, and B2C enterprises. Figures are based on the funding values from different industries for the market.

Modeling approach / Market size:Market sizes are determined through a top-down approach with a bottom-up validation, building on a specific rationale for each market. As a basis for evaluating markets, we use annual financial reports, funding data, and third-party data. In addition, we use relevant key market indicators and data from country-specific associations such as GDP, number of internet users, number of secure internet servers, and internet penetration. This data helps us estimate the market size for each country individually.

Forecasts:In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, the S-curve function and exponential trend smoothing are well suited to forecast digital products and services due to the non-linear growth of technology adoption. The main drivers are the level of digitalization, the number of secure internet servers, and the revenue of the Public Cloud market.

Additional Notes: The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russian-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the market is updated on an ad-hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is weighted for representativeness.