Machine learning: accessing tomorrow’s tech

Many Invesco QQQ ETF holdings are affected by the efficiencies of machine learning and quantum computing
Key takeaways:
  • Emerging technologies such as machine learning and quantum computing may be positioned for attractive long-term growth.
  • The size of the global machine learning market is projected to rise to nearly $800 billion by 2032.
  • Invesco QQQ ETF, designed to follow the Nasdaq-100 Index®, provides exposure to several innovative leaders in these two fields.

Growth-oriented investors have many themes to choose from in today’s rapidly evolving technological landscape. In particular, machine learning and quantum computing may be positioned for potential long-term growth.

These two emerging fields hold promise for modernizing various industries and for innovative companies that can take advantage.

We’ll explore the potential opportunities in this area and how some leading companies are positioning themselves in these transformative technologies.

What are machine learning and quantum computing?

Machine learning is an important branch of the artificial intelligence (AI) boom that allows computers to “think” based on experience and data.

Machine learning algorithms power the ubiquitous chatbots we interact with online as well as the self-driving cars on our streets. The technology has applications to boost efficiencies across a wide range of industries, including healthcare, manufacturing, design, and banking. By quickly analyzing massive amounts of data, machine learning can be used to make predictions, personalize content, automate tasks, and more.

The global machine learning market size was estimated at $38 billion in 2022 and it is projected to rise to nearly $800 billion by 2032.1

The projected growth of the global machine learning market

Source: Precedence Research, July 2023.

Quantum computing, meanwhile, uses the principles of physics to solve very complex problems much faster than traditional computers. While this revolutionary technology is still in its early stages, it has commercial applications across many industries, including pharmaceuticals, supply chain management, and transportation networks, to name a few. Indeed, companies are hungry for more computing power to support the proliferation of AI and e-commerce.

Some companies on the leading edge

Invesco QQQ ETF, designed to follow the Nasdaq-100 Index®, provides exposure to several innovative leaders in both machine learning and quantum computing.

Adobe: AI and machine learning is embedded across the company’s suite of creative and marketing software products. Adobe Sensei is a machine learning and AI technology that aggregates data, generates insights, streamlines processes, and automates mundane tasks. For example, Sensei uses machine learning to intelligently remove unwanted objects from your favorite smartphone photos.

Intel: Intel, one of the key players in machine learning, develops powerful processors optimized for AI capabilities. The company's Xeon processors are built for AI acceleration, making Intel an important potential provider of hardware solutions for machine learning applications in the years to come. The company’s Amazon Web Services (AWS) offers machine learning services such as SageMaker to build, train, and deploy machine learning models. Amazon is also innovating in quantum computing with its Amazon Bracket service geared to help researchers, scientists, and developers get started in quantum computing.

Microsoft: The software giant’s Azure Machine Learning service is designed to help businesses build machine learning models and generative AI. Also, Azure Quantum offers high-powered hardware, software, and solutions in a single cloud service.

Alphabet: Google employs machine learning in many of its services and products. For example, machine learning is used to power Google’s search algorithms and the cat video recommendations you may see on YouTube. Google’s Quantum AI Lab in Santa Barbara houses a quantum data center, fabrication facility, and research workspace.

Apple: Apple continues to integrate machine learning into its products and services. Apple’s virtual assistant, Siri, taps into machine learning algorithms to understand natural language queries, recognize speech patterns, and provide personalized responses and recommendations. Apple’s Photos app also uses machine learning to recognize faces and objects.

Access innovation with QQQ

Machine learning and quantum computing could present interesting opportunities for investors looking to participate in these next-generation technologies. Invesco QQQ offers a way for investors to get exposure to these emerging sectors as well as gain access to some of the most innovative companies in the world from other industries beyond technology.


  • 1

    Precedence Research, July 1, 2023.

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