100-page report, 15 trends in five groups. Equity investment (2023, $ billion) and job-postings change (2022–23) per trend in notes. Adoption score (1-5, 2023) is graphical only and not recorded. rank = contents order; forecast entries carry their trend's rank.
Generative AI (gen AI) has been making significant strides, pushing the boundaries of machine capabilities.
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As we navigate through 2024, the impact of analytical AI technologies, including applications of machine learning (ML), computer vision, and natural-language processing (NLP), continues to grow across all sectors.
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Industrializing machine learning (ML), also known as machine learning operations (MLOps), is the process of scaling and maintaining ML applications within enterprises.
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The landscape of software development is currently experiencing a transformative shift, driven by an influx of cutting-edge technologies such as generative AI (gen AI) and cloud-native architectures.
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Digital trust and cybersecurity enable organizations to manage technology and data risks, accelerate innovation, and protect assets.
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Advanced-connectivity technologies can potentially revolutionize the experiences of consumers and industries such as mobility, manufacturing, and agriculture.
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Immersive-reality technologies allow users to experience an augmented form of our world or virtual worlds while uncovering a series of new use cases for consumers and enterprises alike.
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Cloud and edge computing has amplified AI capabilities for both training and inferencing on foundational models and will continue to be a major driver for the adoption of these technologies.
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In 2023, we saw steady progress on both the hardware and software fronts while organizations took more practical steps to ensure that their infrastructure and security are ready for the technology.
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From a technological perspective, AI has led to many innovations that have increased the capabilities and accelerated the training of physical robots.
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Technical advancements, coupled with rising sustainability concerns, have given rise to a new era of mobility.
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The combination of biological and computing advancements has led to a range of innovations in products and services for industries such as healthcare, food and agriculture, consumer products, sustainability, and energy and materials.
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Rapidly decreasing technology costs over the past decade have given rise to an increase in the viability and relevance of space technologies.
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Electrification and renewable-energy technologies are crucial for reducing global carbon emissions in accordance with the Paris Agreement.
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Climate technologies beyond electrification and renewables cover technologies related to circularity and resources and carbon capture and removal.
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As we progress through 2024 and beyond, we anticipate organizations investing in the risk mitigation, operating model, talent, and technological capabilities required to scale gen AI.
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While 2023 was mostly focused on training foundation models for AI, companies are expected to begin performing inference at scale on their models in 2024.
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The year 2024 could be a watershed one for autonomous trucking as companies begin larger-scale on-the-road pilots.
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approximately 30 battery factories are currently planned, being constructed, or operational in the United States alone; 13 of them are expected to open by 2025.
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The rise of AI in 2023 resulted in a massive increase in cloud and edge usage, with a CAGR of approximately 30.9 percent expected in the cloud AI market between 2023 and 2030
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Revenues of the industry’s “backbone”—that is, space hardware and service providers—could potentially grow to more than $750 billion by 2035
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McKinsey research estimates that climate technology value chains will require approximately 200 million skilled workers globally by 2050.
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