发布时间：2008.3

摘要

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.

目录及图表

Overview	1
Catalyst	1
Summary	1
Key Messages	2
The accuracy of speech recognition has improved dramatically over the last few years	2
Speech recognition adoption is being driven by the increased use of digital dictation	2
The healthcare industry presents the greatest opportunity for vendors	2
Nuance and Philips are approaching the market with different strategies	2
Speech recognition products are being sold directly, by resellers and technology partners	3
Table of Contents	4
Table of figures	4
Table of tables	4
Market Opportunity	5
PC- and server-based speech recognition defined	5
Speech recognition rates have improved in the last five years	6
'Front-end' and 'back-end' speech recognition	6
Speech recognition has found its niche in the healthcare and legal markets	8
Market drivers	8
The increased use of digital dictation systems is helping drive greater adoption of speech recognition	8
Automation of processes and cost pressure in the healthcare industry	9
Market challenges	9
Poor accuracy and disappointing deployments in the past make users hesitant to adopt	9
Moving technology out of niche environments will be difficult for vendors	9
The slow roll-out of electronic health records and digitization of systems	10
Market size and trends	10
There is a greater acceptance of speech recognition	10
A larger proportion of the market revenue is from services because support and training are essential	10
Customer Impact: Key industry focus	12
Healthcare is the largest market for speech recognition	12
Restricted budgets and the need to create accurate patient records make healthcare an ideal market	12
Speech recognition provides clear benefits to processes in radiology and pathology	12
When implemented with an EHR system, speech recognition can speed up the process	13
Critical test results and patient safety are also driving adoption	13
There is a growing demand for customers with disabilities	13
Adoption of speech recognition is gaining traction in the professional services industry	13
Adoption in other industries will be limited	14
End-user pain points with implementing and using speech recognition systems	15
Speech recognition systems can help alleviate pressure on staff but cost remains a primary issue	15
Specialized vocabularies and training needs mean that speech recognition is limited to certain roles	15
Background noise and confidentiality make speech recognition unsuitable for a number of employees	15
When to invest: ROI model	16
Competitive Landscape	17
Nuance	18
Strengths and Opportunities	18
Weaknesses and Threats	19
Philips	20
Strengths and Opportunities	20
Weaknesses and threats	20
Niche vendors (in alphabetical order)	21
eScription & Spheris	21
IBM	21
MacSpeech	22
Microsoft	22
RedStart Systems	22
Speech recognition for language learning (vendors in alphabetical order)	22
Carnegie speech	22
Lingvosoft	23
RosettaStone	23
Soliloquy Learning	23
Go to Market	24
Healthcare: Direct sales or through medical integration partners	24
Consumer: Retailers and e-tailers	25
Professional Services: Digital Dictation	25
Future Trends	26
Speech recognition will become more embedded within document workflow and automation solutions	26
Recommendations	27
Vendors need to provide a clear marketing message	27
Vendors should work more closely with EHR vendors as this market represents a good opportunity	27
There is room for product improvements in the consumer market	27
APPENDIX	29
Definitions	29
Methodology	29
Further reading	29
Ask the analyst	29
Datamonitor consulting	30
Disclaimer	30
List of Tables
Table 1: The market size for PC and server-based speech recognition	11
List of Figures
Figure 1: An example of the use of front-end speech recognition for a physician to dictate an EHR	7
Figure 2: The process for server side speech recognition is longer but reduces pressure on the dictator	8
Figure 3: Growth in PC- and server-based speech recognition will be steady over the next six years	11
Figure 4: Leading speech recognition vendors and their areas of coverage	17
Figure 5: Speech recognition applications and their uses	18
Figure 6: SWOT Analysis: Nuance	19
Figure 7: SWOT Analysis: Philips	21
Figure 8: Speech recognition channels in the healthcare industry	25
Figure 9: Speech recognition channels in the legal industry	26