Analysis of the rapidly shifting enterprise chatbot/VDA market landscape: key drivers and barriers, market trends, dominant use cases, and key players. Forecasts for chatbot/VDA spend through 2026 with analysis by vertical and region.
Chatbots & Virtual Digital Assistants 2022: Market Trajectory, Forecasts
The Analyst Team
Mark Beccue
Principal Analyst, AI & NLP
Mark Beccue is a principal analyst contributing to Omdia’s Artificial Intelligence practice, with a focus on natural language and AI use cases. Based in Tampa, Beccue is a veteran market research analyst with 25 years of experience interpreting technology business. He is a frequent speaker, panel moderator and conference chair.
Prior to joining Omdia | Tractica, Beccue was an independent consultant/analyst who provided custom and syndicated qualitative market analysis, with an emphasis on mobile technology. Previously, he was a senior market intelligence analyst at Syniverse with responsibility for identifying trends and opportunities. Beccue also served as a senior analyst at ABI Research, where he concentrated on mobile consumer technology. He has been cited hundreds of times by international media outlets including CNBC, The Wall Street Journal, Bloomberg Businessweek, and CNET. Beccue holds a Bachelor of Science degree in journalism from the University of Florida.
Further Reading
Chatbots & Virtual Digital Assistants 2021: Market Trajectory, Forecast
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Report / 13 Jul 2021 / Mark Beccue
Describes the market landscape for enterprise virtual digital assistants. Covers key market drivers and barriers, use cases, trends, players, and forecasts for 2019–25.
Chatbots & Virtual Digital Assistants 2019: Market Trajectory, Forecast
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Report / 19 Nov 2019 / Mark Beccue
More than 10 years ago, companies seeking efficiencies and automation for customer service began experimenting with applications that leveraged natural language processing (NLP). By early 2016, significant advances in combining NLP with other forms of artificial intelligence (AI), primarily machine learning (ML) and deep learning (DL), began to make enterprise virtual digital assistants (VDAs) more intelligent and useful. These advancements and other market factors have expanded the use cases for enterprise AI-driven VDAs beyond customer service & marketing.
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