Engaging the Right Strategy for Speech Applications (Review Report)

This report analyzes the market for speech applications and tools. It provides an empirical perspective into the maturation of the overall market for speech solutions and Datamonitor's definitions of different approaches to speech application developments. The report also identifies emerging areas for differentiation among speech tool offerings.

Report Highlights

Heavy emphasis has been placed on the application, the most critical determinant of whether a speech solution is successful. To date, the majority of speech applications are custom developed; however, as the market matures and software packages evolve, spending on custom developed speech applications will decrease in proportion. Shifts in investments will be caused by increased spending on configurable packages in new markets, pre-built modules and templates by early adopters and the general evolution of the speech market that will nurture software package advancement.
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Overview 1
Catalyst 1
Summary 1
Executive Summary 2
Introduction 2
Identifying Opportunities for Speech Applications in a Shifting Market (Market Focus) 2
Defining Packaged, Pre-built and Custom Developed Speech Applications (Strategy Focus) 2
A Deep Dive Into Speech Application Development, Management and Testing (Technology Focus) 3
Understanding Macro Level Spending Trends for Speech Applications in the Global Market to 2012 (Databook) 3
Identifying Sub-Markets in the Global Speech Applications Market to 2012 (Databook) 3
Table of figures 5
Table of tables 6
Identifying Opportunities for Speech Applications in a Shifting Market (Market Focus) 7
Summary 7
Configurable packages are a better fit for new markets embracing speech 7
Pre-built modules and templates reduce early adopters' dependency on vendor professional services 10
The evolution of the speech market will help nurture software package advancement 10
Defining Packaged, Pre-built and Custom Developed Speech Applications (Strategy Focus) 15
Summary 15
Adhering to common application definitions that simplify messaging and prevent possible client confusion 15
Packaged applications 16
Configurable packages 16
Pre-built modules and templates 16
Custom developed applications 17
Introducing tailored roadmaps for clients to gain more self-sufficiency over time 17
Tracking and aggregating application usage, success and failure rates is vital to obtain greater credibility 17
A Deep Dive Into Speech Application Development, Management and Testing (Technology Focus) 19
Summary 19
Stronger analytical capabilities will enable businesses to aggregate specific data and knowledge for intelligent queries that improve critical business decision making 23
Analytics in the voice channel becomes a part of the bigger BI picture 23
Integration of speech and web tools will simplify development processes as it enables businesses to author web and speech applications in a single development environment 24
Application portability will provide long-term investment protection of speech assets across multiple deployment environments 25
Utilizing speech application development tools as the abstraction layer 26
Understanding Macro Level Spending Trends for Speech Applications in the Global Market to 2012 (Databook) 27
Introduction 27
Spending on speech applications by function, 2006-2012 27
Speech application revenue by application type, 2006-2012 28
Contact management revenue by subcategory, 2006-2012 30
Service provider application revenue by deployment type, 2006-2012 31
Speech application revenue by development type, 2006-2012 32
Identifying Sub-Markets in the Global Speech Applications Market to 2012 (Databook) 33
Introduction 33
Spending on speech applications by function, 2006-2012 33
Speech application revenue by application type, 2006-2012 34
Contact management revenue by subcategory, 2006-2012 36
Service provider application revenue by deployment type, 2006-2012 37
Speech application revenue by development type, 2006-2012 38
APPENDIX 39
Definitions 39
ASR (automatic speech recognition) 39
Contact centers 39
Dual tone multi-frequency (DTMF) 39
Interactive voice response (IVR) 39
Moore's chasm 40
Open standards 40
Platform 40
Voice-XML 40
Methodology 41
Further reading 41
Ask the analyst 41
Datamonitor consulting 41
Disclaimer 41
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Table 1: Spending on speech applications by development paradigm, 2006-2012 9
Table 2: Spending on speech applications by function, 2006-2012 27
Table 3: Spending on speech applications by function, 2006-2012 28
Table 4: Speech application revenue by application type, 2006-2012 29
Table 5: Speech application revenue by application type, 2006-2012 29
Table 6: Contact management revenue by subcategory, 2006-2012 30
Table 7: Service provider application revenue by deployment type, 2006-2012 31
Table 8: Speech application revenue by development type, 2006-2012 32
Table 9: Spending on speech applications by function, 2006-2012 33
Table 10: Spending on speech applications by function, 2006-2012 34
Table 11: Speech application revenue by application type, 2006-2012 35
Table 12: Speech application revenue by application type, 2006-2012 35
Table 13: Contact management revenue by subcategory, 2006-2012 36
Table 14: Service provider application revenue by deployment type, 2006-2012 37
Table 15: Speech application revenue by development type, 2006-2012 38


Figure 1: Spending on speech applications by development paradigm, 2006-2012 8
Figure 2: Proportionate spending on speech applications by development paradigm, 2006 & 2012 9
Figure 3: Global supply-side voice business market HHI concentration levels from 2004 to 2007 12
Figure 4: Mapping global supply-side voice business HHI measures to phases of market maturity 13
Figure 5: Phases of software advancement for speech applications 14
Figure 6: Speech application lifecycle 20
Figure 7: Standard features vs differentiators of speech application development tools 21
Figure 8: Leveraging web architecture in the voice channel 24
Figure 9: Spending on speech applications by function, 2006-2012 27
Figure 10: Speech application revenue by application type, 2006-2012 28
Figure 11: Contact management revenue by subcategory, 2006-2012 30
Figure 12: Service provider application revenue by deployment type, 2006-2012 31
Figure 13: Speech application revenue by development type, 2006-2012 32
Figure 14: Spending on speech applications by function, 2006-2012 33
Figure 15: Speech application revenue by application type, 2006-2012 34
Figure 16: Contact management revenue by subcategory, 2006-2012 36
Figure 17: Service provider application revenue by deployment type, 2006-2012 37
Figure 18: Speech application revenue by development type, 2006-2012 38
Figure 19: Moore's Technology Adoption Life Cycle 40
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