Table of Contents
3
Realize Superior Business Outcomes, Developer Efficiency, and Accelerated Innovation
with High-Performance, Cost-Efficient, and Easy-to-Use ML Infrastructure
IDC White Paper, sponsored by Amazon Web Services
October 2021 | Doc. #US48194621
Enterprises across industries and geographies are increasingly
adopting artificial intelligence (AI) and machine learning
(ML) technologies to enable new use cases, improve customer
experience, increase employee productivity, and accelerate
business innovation.
According to the IDC's Worldwide Semiannual Artificial Intelligence Tracker (1H20
release, published January 2021), the worldwide revenue for the AI/ML market,
including software, hardware, and services, is forecast to continue its growth trajectory
with a 16.4% year-over-year increase in 2021 to $327.5 billion, reaching more than
$500 billion with a five-year compound annual growth rate (CAGR) of 17.5% by 2024.
IDC studies* also observe a direct correlation between AI/ML adoption and superior
business outcomes. Machine learning in general and more specifically AI capabilities
such as natural language processing (NLP), conversational AI, and computer
vision are at the forefront of transformative customer and employee experiences.
Respondents cited that IT automation, intelligent task/process automation, automated
threat analysis/investigation, and automated customer service agents are some of
the top AI use cases across industry verticals.
Executive
Summary
* AI StrategiesView 2021
