Virtual Personal Assistants (VPA) and Smart Advisors: Autonomous Agent and Smart Machine Technology and the Market for Ambient User Experience
Virtual Personal Assistants (VPA) and Smart Advisors use Autonomous Agents and Smart Machine technology to enable an Ambient User Experience for applications and services. The Internet of Things (IoT) intensifies this need as machines interact with other machines and humans autonomously.
In keeping with the theme of communications enabled applications, we also see VPA enabled apps becoming widespread to the point that they are embedded within most services. The preferred user interface for many Internet and wireless apps will ultimately become integrated with smart advisors and rely upon next generation interactions such as Haptic UI and other dynamic and contextual actions and interfaces.
This research evaluates the technologies, solutions, companies and market for Virtual Personal Assistants (VPA) and Smart Advisors. The report includes a market assessment and forecast to 2025. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Big Data and Cloud companies
Artificial Intelligence companies
Communication service providers
Internet and mobile app developers
Machine Language based app providers
Enterprise, SMB, and companies of all types
Companies/Solutions in Report:
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.