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


Published Date: April 2008
Published By: Datamonitor
Page Count: 34
Order Code: R313-31804
 
DescriptionTable of ContentsSearch Inside
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Overview
Catalyst
Summary
Key Messages
The accuracy of speech recognition has improved over recent 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 vendors are still developing their partner ecosystems
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 professional services 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 EHRs and digitization of systems
Market size and trends
There is a greater acceptance of speech recognition across different environments
Services will account for the majority of spend for PC- and server-based speech recognition
North America represents the largest market opportunity for PC-and server-based speech recognition
Verticalized solutions have the greatest appeal in the market
Dictation and transcription represent the largest opportunities for licenses and services, respectively
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 on fulfilment
Critical test results and patient safety are also driving adoption
Adoption of speech recognition is gaining traction in the professional services industry
There is a growing demand for consumers, particularly for customers with disabilities
Speech recognition is playing a role in education for language training
Uptake of speech recognition in other industries has been 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
Tangible benefits:
Intangible benefits:
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 and systems integrators
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: Spending on PC- and server-based speech recognition, 2007-2013
Table 2: Spending on PC- and server-based speech recognition in North America and EMEA, 2007-2013
Table 3: Spending on PC- and server-based speech recognition licenses by vertical industry, 2007-2013
Table 4: Spending on PC- and server-based speech recognition in 2007 by solution type
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: Spending on PC- and server-based speech recognition, 2007-2013
Figure 4: Spending on licenses and services PC- and server-based speech recognition in North America and EMEA, 2007-2013
Figure 5: Spending on PC- and server-based speech recognition licenses by vertical industry, 2007-2013
Figure 6: Spending on PC- and server-based speech recognition in 2007 by solution type
Figure 7: Leading speech recognition vendors and their areas of coverage
Figure 8: Speech recognition applications and their uses
Figure 9: SWOT Analysis: Nuance
Figure 10: SWOT Analysis: Philips
Figure 11: Speech recognition channels in the healthcare industry
Figure 12: Speech recognition channels in the legal industry


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