Automating and Enhancing Processes through Voice in Desktop and Back Office Environments (Strategic Focus)

This publication has been discontinued on July 19, 2011.

Introduction

Abstract

Overview

Introduction

Speech-based transcription, dictation and search capabilities have improved vastly over the past decade due to refined algorithms and improved computer processors. As a result, speech recognition in PC-based environments is quickly emerging as a compelling solution that enhances workforce productivity across both niche and broader markets.

Scope

• Analyses the key trends, drivers and inhibitors in the PC and server-based speech recognition market.
• Provides a discussion on the different applications forspeech recognition and assesses the leading vendors in this market.
• Assesses the future trends and potential growth for speech recognition.

Report Highlights

Speech recognition initially gained traction amongst people with a disability who were unable to use a computer in the traditional way. The number of cases of RSI and upper limb musculoskeletal diseases is growing due to increased computer usage in the work environment and the lack of education around ways to prevent these problems.

There are key job roles where the use of speech recognition is suitable, such as radiologists that have repetitive procedures and reports to create. Although there has been substantial uptake in the healthcare industry, and there are becoming more users in professional services industry, the technology is still only utilized by specific positions.

There are two leading vendors in the PC- and server-based speech recognition market: Nuance and Philips. These two vendors directly compete in some markets, most noticeably in healthcare and legal transcription areas and both vendors approaching the market differently and the integration of these products with other systems.

Reasons to Purchase

• Understand significant trends in the PC-based speech recognition market in order to plan your go-to-market strategy.
• Learn about the key industries where the technology is deployed and discover their motivations for investment.
• Gain insight into the global market size and discover Datamonitor' s predictions for revenue growth.

Table of Contents

• Overview
  • Catalyst
  • Summary
• Key Messages
  • The accuracy of speech recognition has improved dramatically over the last few years
  • Speech recognition adoption is being driven by the increased use of digital dictation
  • The healthcare industry presents the greatest opportunity for vendors
  • Nuance and Philips are approaching the market with different strategies
  • Speech recognition products are being sold directly, by resellers and technology partners
• Table of Contents
• Table of figures
• Table of tables
• Market Opportunity
  • PC- and server-based speech recognition defined
    • Speech recognition rates have improved in the last five years
    • ' Front-end' and ' back-end' speech recognition
    • Speech recognition has found its niche in the healthcare and legal markets
  • Market drivers
    • The increased use of digital dictation systems is helping drive greater adoption of speech recognition
    • Automation of processes and cost pressure in the healthcare industry
  • Market challenges
    • Poor accuracy and disappointing deployments in the past make users hesitant to adopt
    • Moving technology out of niche environments will be difficult for vendors
      • The slow roll-out of electronic health records and digitization of systems
  • Market size and trends
    • There is a greater acceptance of speech recognition
    • A larger proportion of the market revenue is from services because support and training are essential
• Customer Impact: Key industry focus
  • Healthcare is the largest market for speech recognition
    • Restricted budgets and the need to create accurate patient records make healthcare an ideal market
    • Speech recognition provides clear benefits to processes in radiology and pathology
    • When implemented with an EHR system, speech recognition can speed up the process
    • Critical test results and patient safety are also driving adoption
  • There is a growing demand for customers with disabilities
  • Adoption of speech recognition is gaining traction in the professional services industry
  • Adoption in other industries will be limited
  • End-user pain points with implementing and using speech recognition systems
    • Speech recognition systems can help alleviate pressure on staff but cost remains a primary issue
      • Specialized vocabularies and training needs mean that speech recognition is limited to certain roles
      • Background noise and confidentiality make speech recognition unsuitable for a number of employees
  • When to invest: ROI model
• Competitive Landscape
  • Nuance
    • Strengths and Opportunities
    • Weaknesses and Threats
  • Philips
    • Strengths and Opportunities
    • Weaknesses and threats
  • Niche vendors (in alphabetical order)
    • eScription & Spheris
    • IBM
    • MacSpeech
    • Microsoft
    • RedStart Systems
  • Speech recognition for language learning (vendors in alphabetical order)
    • Carnegie speech
    • Lingvosoft
    • RosettaStone
    • Soliloquy Learning
• Go to Market
  • Healthcare: Direct sales or through medical integration partners
  • Consumer: Retailers and e-tailers
  • Professional Services: Digital Dictation
  • Future Trends
    • Speech recognition will become more embedded within document workflow and automation solutions
  • Recommendations
    • Vendors need to provide a clear marketing message
    • Vendors should work more closely with EHR vendors as this market represents a good opportunity
    • There is room for product improvements in the consumer market
• APPENDIX
  • Definitions
  • Methodology
  • Further reading
  • Ask the analyst
  • Datamonitor consulting
  • Disclaimer
  • List of Tables
    • Table 1: The market size for PC and server-based speech recognition
  • List of Figures
    • Figure 1: An example of the use of front-end speech recognition for a physician to dictate an EHR
    • Figure 2: The process for server side speech recognition is longer but reduces pressure on the dictator
    • Figure 3: Growth in PC- and server-based speech recognition will be steady over the next six years
    • Figure 4: Leading speech recognition vendors and their areas of coverage
    • Figure 5: Speech recognition applications and their uses
    • Figure 6: SWOT Analysis: Nuance
    • Figure 7: SWOT Analysis: Philips
    • Figure 8: Speech recognition channels in the healthcare industry
    • Figure 9: Speech recognition channels in the legal industry

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