DUBLIN, Dec 1, 2016 /PRNewswire/ -- Research and Markets has announced the addition of the "Virtual Personal Assistants (VPA): The Market for AI, Smart Advisors, and Intelligent Agents 2016 - 2021" report to their offering.
The report includes analysis of AI technology integration, VPA applications, and use cases across leading industry verticals. The report also includes detailed forecasts such as VPA revenue by AI technology (Speech Recognition, Text-to-Speech Recognition, Natural Language Processing, Machine Perception & Learning). Virtual Personal Assistants (VPA) and Smart Advisors use Autonomous Agents and Smart Machine technology to enable an Ambient User Experience for applications and services. VPAs are used in communications and commerce scenarios to improve customer experience, operational costs, and lead to new business opportunities. Leading companies offer VPAs that rely upon Artificial Intelligence (AI) technologies to provide contextual communications and next generation User Interfaces (UI) including conversational and haptic solutions. While initial benefits are seen in consumer-facing industries, VPAs are anticipated to provide substantial direct and indirect benefits across a wide array of enterprise segments and industry verticals. This research provides an in-depth assessment of intelligent VPA and Smart Advisor market including the following: - Global, regional, and country forecasts for 2016 - 2021 - Forecasts for VPA by application area, use case, and industry verticals - Analysis of the emerging business models, critical success factors, pricing, and more - Assessment of the emerging VPA market ecosystem including suppliers, customers, and partners - Assessment of VPA challenges and opportunities including growth drivers, SWOT, and PESTEL analysis - Analysis of the key market players including their products, solutions, strategies, M&A, and partnerships - Evaluation of VPA and autonomous agents in all major market segments, business functions, and industry verticals - Assessment of emerging technologies: AI, Machine Learning, Autonomous Agents, Chatbots, Natural Language Processing, Image Recognition, Voice Recognition and Real Time Operation