Machine Learning - Americas

  • Americas
  • The market size in the Machine Learning market is projected to reach US$27.08bn in 2024.
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 36.07%, resulting in a market volume of US$171.90bn by 2030.
  • In global comparison, the largest market size will be in the United States (US$21.14bn in 2024).
 
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Analyst Opinion

The Artificial Intelligence market in Americas nan is experiencing remarkable growth, fueled by factors like rising adoption of Machine Learning, growing health consciousness, and the convenience of online health services. This extraordinary growth is driven by the increasing demand for AI-powered solutions in various industries such as healthcare, finance, and retail.

Customer preferences:
As the use of artificial intelligence continues to grow in the Americas, there has been a significant increase in demand for personalized and efficient customer service. This has led to a rise in chatbots and virtual assistants, which can quickly and accurately address customer inquiries and provide tailored recommendations. Additionally, there has been a shift towards using AI-powered analytics to better understand consumer behavior and make data-driven business decisions. This trend is driven by the desire for businesses to stay competitive in a rapidly evolving market and provide a seamless customer experience.

Trends in the market:
In the Americas, the Machine Learning Market within the Artificial Intelligence Market is experiencing a surge in demand for automation solutions in industries such as healthcare, finance, and manufacturing. This trend is driven by the need for increased efficiency and cost savings. Additionally, there is a growing interest in using machine learning for predictive analytics and decision-making. This trend is expected to continue as businesses strive to stay competitive in a rapidly evolving market. Industry stakeholders should pay attention to the potential impact of these developments on their operations and explore ways to incorporate machine learning into their strategies.

Local special circumstances:
In the Americas, the Machine Learning Market within the Artificial Intelligence Market is heavily influenced by the advanced technology infrastructure and a highly skilled workforce. In the United States, the market is driven by the increasing adoption of machine learning in various industries, such as healthcare, finance, and retail. In Canada, the market is fueled by the government's support for research and development in the field of artificial intelligence. Additionally, in Mexico, the market is seeing growth due to the rising demand for automation in industries, such as manufacturing and logistics.

Underlying macroeconomic factors:
The Machine Learning Market within the Artificial Intelligence Market in Americas is greatly impacted by macroeconomic factors such as technological advancements, government policies, and investment in the technology sector. Countries with strong technological infrastructure and favorable government policies are experiencing a surge in market growth. This is further fueled by the increasing demand for advanced AI solutions in various industries, such as healthcare, finance, and retail. Additionally, the growing adoption of AI and machine learning in business operations and decision-making processes is driving the market growth in the region.

Methodology

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.

Overview

  • Market Size
  • Analyst Opinion
  • Global Comparison
  • Methodology
  • Key Market Indicators
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