Global Language Processing Market 2017-2021

SKU ID :TNV-10711424 | Published Date: 14-Jun-2017 | No. of pages: 82
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
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.
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