Omdia outlines and analyzes key trends expected in the AI Platforms and Intelligent Automation space throughout 2021, including lowering the barriers to data science, building trust in AI, MLOps, COVID-19 impact on automation, and more.
The Analyst Team
Chief Analyst, AI & Data Analytics
Brad has more than 25 years of experience in IT technology, analyzing data and information architectures. He is skilled in competitive market intelligence, technology selection, business development, and quantitative research. He also has experience as an IT professional, business analyst, book author/editor, and high-tech journalist/editor.
Brad helps enterprises and high-tech companies work effectively across several market areas, including enterprise data and analytics, artificial intelligence, digital transformation, and DevOps. His expertise also covers market evaluation and go-to-market messaging, and he has a background in software development and database administration.
Senior Analyst, RPA & Intelligent Automation
With coverage areas including robotic process automation (RPA), intelligent automation, and AI, Cassandra produces thought-provoking research for vendor, service provider, and enterprise clients. Although she roots her analysis in data, Cassandra provides value-added insight to translate the data into what it means for these clients.
Cassandra joined Omdia (formerly Ovum) in 2019, having spent the 10 years prior in technology and market research at Technology Business Research, Inc. (TBR). At TBR, Cassandra covered topics including the all-encompassing cloud, professional services, hybrid IT, and enterprise software. She led end-user research and spearheaded many reports, benchmarks, and market forecasts.
This Report is included in:
IoT, Cloud, AI & 5G – ICT Enterprise Insights 2021
Data / 29 Sep 2020 / Josh Builta
Understand workloads carried on cloud, delivery strategy by area, IoT drivers, investment plans for AI, and benefits of 5G. To view other survey data available within ICT Enterprise Insights 2021, visit the Content Guide.
AI Market Maturity
Report / 18 Jun 2020 / Mark Beccue
By any stretch of the imagination, it is still early days for artificial intelligence (AI). That said, pioneering AI solutions providers and end-user companies have moved from proofs-of-concept to live deployments of AI solutions over the past few years. This Omdia survey examines the maturation of the market, with views of the AI structure and strategies of end-user and vendor companies. The survey results suggest companies that have been AI pioneers fit the classic profile of early adopters. They are willing to risk money, time, and resources with the hope that potential returns will give them competitive advantages over companies that wait for a more developed market. While some industry sectors have more mature AI ecosystems than others, in a broad sense, the AI ecosystem reflects a market that is still in the early stages. This Omdia survey provides the results of an online survey of 365 enterprises. The survey was sent to contact databases from Omdia, AI Summit, and AI Business. Surveyed companies across different vertical industries ranged in size from small startups with less than 100 employees to global companies with 10,000+ employees. Respondents were categorized as companies that were end users of AI solutions and capabilities and vendors that market AI solutions and capabilities. The survey treated the location of the respondent as the source country. Respondents had a broad range of job functions and titles, and the companies were using or exploring AI capabilities/services. See also AI Market Maturity: Enterprise Survey Pivot Data
Artificial Intelligence Software Market Forecasts
Data / 29 Jun 2020 / Neil Dunay
The artificial intelligence (AI) software market has experienced tremendous growth over the past several years. Many enterprises have discovered that AI software can help cut costs and generate new revenue streams. Yet, AI software remains a relatively small portion of overall software sales, with varying acceptance across industries. The AI software market has entered a new phase in which AI is a requirement for most enterprises to compete on a global level. Significant opportunity lies ahead for AI software market penetration despite short-term economic and market turbulence from the COVID-19 pandemic. AI software employs several different technologies that give computers human-like abilities of perception, reasoning, planning, and decision-making. Most AI systems today are machine and deep learning (ML and DL) systems; other technologies include natural language processing (NLP), computer vision (CV), machine reasoning (MR), and strong AI. Omdia has built a taxonomy of 340 AI use cases across 23 industries that captures the software opportunity related to AI. A new breakout aggregates the 340 use cases to 14 horizontal markets. Under the moderate impact scenario, global AI software revenue is expected to grow at a 34.9% CAGR to reach nearly $100bn in 2025. This Omdia report provides a quantitative assessment of the market opportunity for AI software. To assess the COVID-19 impact, Omdia outlines four forecast scenarios through 2025. The study includes market sizing, segmentation, and forecasts for 340 AI use cases, including more than 200 unique use cases. Global market forecasts, segmented by scenario, use case, industry, technology, geography, horizontal market, and meta category, extend through 2025.
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