Global Language Processing Market 2017-2021
SKU ID :TNV-10711424 | Published Date: 14-Jun-2017 | No. of pages: 82Description
TOC
Table of Contents
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Research Methodology
PART 04: Introduction
• Key market highlights
PART 05: Economic overview
• Global economic overview and its impact on the market and vendors
PART 06: Market landscape
• Market overview
• Market size and forecast
• Market assumptions
PART 07: Market segmentation by technology
• Global language processing market by technology
• Global IVR systems market
• Global pattern recognition market
• Global text analytics market
• Global OCR market
• Global speech analytics market
PART 08: Market segmentation by deployment model
• Global language processing market by deployment model
• Global on-premises language processing market
• Global cloud-based language processing market
PART 09: Market segmentation by end-user
• Global language processing market by end-user segmentation
PART 10: Geographical segmentation
• Global language processing market by geography
PART 11: Decision framework
PART 12: Drivers and challenges
• Market drivers
• Impact of drivers on key customer segments
• Market challenges
• Impact of challenges on key customer segments
PART 13: Market trends
• Increased use of IP-based IVRs
• Evolution of social media sentiment analytics
• Growing use of text analytics
PART 14: Five forces analysis
• Five forces analysis
PART 15: Vendor landscape
• Competitive scenario
• Major-vendor offerings
• Vendor matrix
• Other prominent vendors
PART 16: Key vendor profiles
• Hewlett Packard Enterprise (HPE)
• IBM
• Microsoft
• SAS Institute
• Verint Systems
PART 17: Mergers and acquisitions
• M&A in the market
PART 18: Appendix
• List of abbreviations
List of Exhibits
Exhibit 01: Global language processing market 2016-2021 ($ billions)
Exhibit 02: Market assumptions
Exhibit 03: Global language processing market by technology 2016-2021(% share)
Exhibit 04: Global IVR systems market 2016-2021 ($ billions)
Exhibit 05: Global pattern recognition market 2016-2021 ($ billions)
Exhibit 06: Global text analytics market 2016-2021 ($ billions)
Exhibit 07: Global OCR market 2016-2021 ($ billions)
Exhibit 08: Global speech analytics market 2016-2021 ($ billions)
Exhibit 09: Deployment models
Exhibit 10: Global language processing market by deployment 2016-2021 (% share)
Exhibit 11: Global on-premises language processing market 2016-2021 ($ billions)
Exhibit 12: Global cloud-based language processing market 2016-2021 ($ billions)
Exhibit 13: Difference between on-premises and cloud-based language processing
Exhibit 14: Global language processing market by end-users 2016-2021 (% share)
Exhibit 15: Global language processing market by end-user 2016-2021 ($ billions)
Exhibit 16: Global language processing market by geography 2016-2021 (% share)
Exhibit 17: Global language processing market by geography 2016-2021 ($ billions)
Exhibit 18: Impact of drivers
Exhibit 19: Impact of challenges
Exhibit 20: Five forces analysis
Exhibit 21: Product offerings
Exhibit 22: Vendor matrix
Exhibit 23: Other prominent vendors
Exhibit 24: M&A in the global language processing market 2012-2017
Tables & Figures
Companies
Hewlett Packard Enterprise (HPE), IBM, Microsoft, SAS Institute, Verint Systems, 3M, Apple, AYLIEN, Basis Technology, Cerner Systems, Dolbey Systems, Envion Software, Google, Intel, Linguamatics, MModal IP, NetBase Solutions, Nuance Communication, Oracle, and Sensory.
- PRICE
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