Artificial Intelligence


Between now and 2025, global AI software revenues are set to multiply by 12-fold to reach $126 billion. With early adopters of Enterprise AI showing ROI and soaring confidence. This year, the AI market will move from ‘early adopters’, to ‘fast followers’ who are poised to drive AI growth.

Navigate the complexities


Whether you are looking to learn more about AI use cases, compare next-gen computing platforms, or understand services for AI enterprise deployment, maintenance, and training, Omdia has the research you need. We can help you put AI to work for your business and explore market possibilities elsewhere.


Turn to Omdia for an unparalleled, holistic view into the world of artificial intelligence. Our AI research portfolio extends from processors and software to practical deployments across industries and applications – from smart homes to smart networks. We track data on 300+ use cases across 20+ vertical markets.

AI Business Toolkit

The AI Business Toolkit addresses the evolving needs of organizations as the technology starts to mature beyond pilots into large-scale deployments. It provides an enterprise-grade blueprint for organizations to benchmark their progress and to deploy scalable, profitable AI initiatives.


  • Get your AI readiness score

  • Benchmark your AI capabilities vs. your peers

  • Compare and evaluate AI vendor solutions

  • Build AI best practices

  • Monitor your AI business metrics

  • Understand AI market dynamics

Only with Omdia


  • Understand the taxonomy and breadth of AI use cases being applied today and their future trajectory.

  • Learn about new and upcoming areas of robotics that extend beyond traditional industrial robots.

  • Expand your view of the underlying technologies that are driving the future of computing.

  • Identify the core priorities of applying AI within your products, services and overall strategy.

  • Arm your strategy and product teams with granular data as they plan and implement AI, robotics and advanced computing.

  • Stay ahead of the market as technologies and capabilities rapidly shift from academic settings into commercial deployments.

Featured Solutions and Reports

AI Top Trends 2021 - Omdia report cover
AI 2021 Top Trends

Position yourself on the front foot with our new 2021 AI trends report. From the changing labour market, leadership of ethics and governance, to defining AI's success and ensuring competitiveness and readiness, in this report, we dive into the top 8 trends we predict will dominate in 2021.

AI at the Edge - 5 factors - Omdia report
AI at the Edge
This report identifies five factors that will shape the AI-at-the-edge opportunity in the coming years. Find out how edge AI will impact consumer devices, healthcare, manufacturing, smart buildings, utilities, and video surveillance markets now through 2021 and beyond.
Cloud Data
View more AI reports from Omdia
Omdia brings you an unparalleled, holistic view into the world of artificial intelligence. Discover the impact of AI across industries and applications from processors and software to practical deployments. Assess your readiness and know your markets.

Ensure AI delivers on business outcomes

Mark Beccue, AI Principal Analyst, Omdia

“For enterprises to succeed with AI they need to address the gap between the technology and the business outcomes, which boils down to having the right tools to measure, track and evaluate AI as it gets operationalized.”


Mark Beccue, Principal Analyst, AI 

Bradley Shimmin, AI Chief Analyst, Omdia

“Navigating the complex enterprise AI landscape is as much about identifying the opportunities and gaps in software platforms and services the across the vertical and horizontal stacks, as it is in understanding the applications and use cases that make up the AI opportunity.”

Bradley Shimmin,  Chief Analyst, AI

Aditya Kaul, AI Research Director, Omdia

“Unlike the 1970s when the PC compute stack was emerging, we are now entering a multimodal future where multiple compute techniques will emerge simultaneously.”


Aditya Kaul, Research Director, AI

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