Recap of Groundbreaking Artificial Intelligence (AI) Research Topics

Artificial Intelligence (AI) is the technology of our time, bound to change our personal and professional lives in some way, shape, or form. As enterprises aim to leverage AI to boost productivity and technology, vendors wish to optimize their product portfolios, so AI market research is more pivotal than ever. ABI Research connects the end users and the tech vendors providing AI solutions with essential insights. Through technology analysis reports, presentations, competitive rankings, and market data forecasts, ABI Research provides a unique voice to the AI industry. These products can be used to forecast demand for various AI hardware and software, identify the most important trends sweeping the industry, evaluate the competitive landscape, and provide best practices when implementing AI solutions. Here are some research topics from our most recent content deliverables covering our AI & Machine Learning Research Service.  

Generative AI In The Enterprise Sector: How Suppliers Can Meet The Hype (Whitepaper)

In mid-August 2023, ABI Research published this informative whitepaper summarizing two longer-form research reports on the topic of generative AI in the modern enterprise. This research paper studies the main topics our reports aim to articulate to readers, namely the following:

  • Where the generative AI market currently stands
  • Biggest challenges holding back enterprise generative AI
  • Why smaller, “fine-tuned” models are key to facilitating business use cases of generative AI
  • The trade-offs of open- and closed-source models
  • How various generative AI supplier types (e.g., hardware providers, foundation model providers, Machine Learning (ML) service vendors, etc.) can meet market expectations
  • Four ways to carve out a leading commercial position in the generative AI market

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Key Trends in AI: On-device AI, Open-Source Investment, Data Service Funding and More (Presentation)

Published on our website in October 2023, this AI research product can be downloaded in either a PDF or PowerPoint file. The 16-slide presentation digs into the latest trends ABI Research has seen across the industry. If you download this research deliverable, you will read about AI topics such as technology preferences, geopolitical challenges, supplier moves, regulatory environment, Go-to-Market (GTM) strategies for vendors, and more.

Generally speaking, you can think of this product as an easily digestible overview of AI hardware and software innovations that are paving the future of this technology space.

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Artificial Intelligence (AI) Software (Market Data)

As reported in this market data spreadsheet, artificial intelligence software presents a robust US$53.7 billion market opportunity today. Growing at a Compound Annual Growth Rate (CAGR) of 27% between 2023 and 2030, that market valuation will increase by nearly 7X by the end of the decade to US$237.9 billion.

While these numbers sound impressive, they mean nothing to AI software decision-makers and suppliers without perspective. To put these market forecasts into context, ABI Research’s AI software market data product breaks down the revenue by the following segments:

  • By framework (Computer Vision (CV), Natural Language Processing (NLP), and graph-based AI model)
  • By software tool (e.g., foundation model, data synthesis, optimization, etc.)
  • By region
  • By deployment location (edge versus cloud)
  • By interface type (code, low code, no code)
  • By workload type (training versus inference)
  • By consumption model (freemium, subscription, pay-as-you-go, revenue share)
  • By source code (open versus closed source)

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Generative AI Business Outcomes: Identifying Enterprise Commercial Opportunities (Technology Analysis Report)

This research report was released in 2Q 2023 and explores the business case for using generative AI in enterprise operations. The report starts with some background knowledge of generative AI and how the emergence of Generative Pretrained Transformer (GPT) applications like ChatGPT (e.g., OpenAI) has led to the technology’s widespread democratization. From there, the report delves into the nitty gritty details of our research analysis. Readers can expect a thorough study of the following research findings:

  • Some of the main issues that make enterprises skeptical of implementing generative AI (e.g., data privacy, copyright concerns, lack of contextualized models, etc.)
  • An understanding of proposed AI frameworks
  • Open- versus closed-source debate
  • How enterprise size correlates with generative AI adoption strategies
  • A long list of applications and use cases that enterprises can expect across 11 industries
  • The three waves of generative AI adoption in the enterprise segment
  • Key trends shaping the market
  • An in-depth look at the ethical and social problems surrounding generative AI

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How ABI Research Can Help

Whether you’re a technology vendor looking to expand your artificial intelligence product portfolio or an enterprise/industry committed to digital transformation, ABI Research can serve as an invaluable partner. Using our substantial industry experience and far-reaching connections, our content uncovers the current and future outlook for AI technology topics to always keep you one step ahead.

In addition to offering the full-packaged AI & Machine Learning Research Service, we also offer more narrowly defined Research Spotlights that focus on a specific AI theme. You can check out our current lineup of Research Spotlights below:

Edge AI

Generative AI

Industrial Cloud & Data Analytics

Smart Cities

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