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Service Quality Management (SQM) & Telco Customer Experience Management (CEM) Market by Product Type (EFM, Web Analytics, Text Analytics, Speech Analytics) & Provider Type (ISP, TSP, MSP) - Global Advancements, Worldwide Forecasts & Analysis (2014-2019)

NEW YORK, Aug. 12, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Service Quality Management (SQM) & Telco Customer Experience Management (CEM) Market by Product Type (EFM, Web Analytics, Text Analytics, Speech Analytics) & Provider Type (ISP, TSP, MSP) - Global Advancements, Worldwide Forecasts & Analysis (2014-2019)

http://www.reportlinker.com/p02275776/Service-Quality-Management-SQM--Telco-Customer-Experience-Management-CEM-Market-by-Product-Type-EFM-Web-Analytics-Text-Analytics-Speech-Analytics--Provider-Type-ISP-TSP-MSP---Global-Advancements-Worldwide-Forecasts--Analysis-2014-2019.html

The Service Quality Management (SQM) and Telco Customer Experience Management (CEM) market is segmented on the basis of types of product, channels, end users, providers, and regions. Under each region, the market has been classified based on types of channels and analytics. Traditionally, companies focused mainly on their products and not on customers. However, with the rise in competition across all verticals, companies now have a major need to maintain customer relationships apart from delivering product innovations. Customer Relationship Management (CRM) has emerged as a critical tool to focus on sales operations, sales force automation, customer analysis, and campaign management.

CRM applications provide information about "what the company knows about the customers"; therefore, it is essentially known as the "customer-centric approach." In order to foster this relationship, organizations need to develop interactions with customers to understand their experience with products and services. CEM is the overriding concept, which changes an organization's internally focused view to externally focused customer experience solutions.

With the arrival of the social media, CEM has extended capabilities to understand customer experiences from a variety of channels across the media. In the initial stages of CEM, the process was controlled by a single channel. New technology developments and changing views of companies have transformed the process from a single channel to multiple, and later customer-controlled channels.

Each channel includes different types of customer channels. Each channel plays an important role in CEM. CEM providers use various analytical tools such as web analytics, text analytics, and sentiment analytics to analyze the Voice of Customer (VOC) from these channels. The next evolution after CEM can be referred to as Customer Experience Analytics (CEA).

Adobe Systems' primary goal is to be one of the leading players in CEM market. The company is focused on growing by forming alliances as well as launching new products in this category. The company spends approximately 20% of its revenue in R&D which has enabled it to develop new products and solutions, which are driving the company's revenues.

Amdocs has strategically aligned itself as a market leader in customer experience solutions. The solutions provided by this company span across industries making a proffered vendor. The company has launched a new product named Amdocs 9.1, which has brought multi-channel capabilities to enterprises. The product helps service providers in increasing customer satisfaction and enhancing customer experience based on real-time analytics. Amdocs also has formed strategic alliances with other players in the market to stay competitive. It formed strategic alliance with Linknet where Amdocs Multi Play Smart is to be pre-integrated for enabling customer care experience for cable providers. This alliance is significant as it broadens the scope for the company's customer care products.

Cisco is primarily focused on providing new CEM solutions in the cloud. To achieve this, the company is developing new products and solutions and acquiring companies in the CEM category. The company has strategically acquired companies in the cloud category which has made Cisco one of the leading service providers in the cloud market.

1 INTRODUCTION 20

1.1 OBJECTIVES 201.2 REPORT DESCRIPTION 201.3 MARKETS COVERED 221.4 STAKEHOLDERS 231.5 RESEARCH METHODOLOGY 241.5.1 KEY DATA FROM SECONDARY AND PRIMARY SOURCES 251.5.2 DATA TRIANGULATION & MARKET FORECASTING 251.6 FORECAST ASSUMPTIONS 26

2 EXECUTIVE SUMMARY 28

2.1 OVERALL MARKET SIZE 29

3 MARKET OVERVIEW 32

3.1 MARKET DEFINITION 333.2 MARKET EVOLUTION 343.3 MARKET SEGMENTATION 363.4 MARKET DYNAMICS 373.4.1 DRIVERS 383.4.1.1 Retaining Customers 383.4.1.2 Competitive Differentiation 383.4.1.3 Customer Centric Approach 393.4.1.4 Online Experience 393.4.2 RESTRAINTS 403.4.2.1 Complexity in Data Synchronization 403.4.2.2 Expectations are Subjective 403.4.3 OPPORTUNITIES 403.4.3.1 Major Focus on Virtual Side 403.4.3.2 Integral Part of Digital Market 413.4.3.3 Big Data 413.4.4 IMPACT ANALYSIS OF DROS 413.5 BUSINESS VALUE ANALYSIS 433.6 TELCO CEM ECOSYSTEM 43

4 SQM & TELCO CEM MARKET: ENTERPRISE NEEDS & ADOPTION TRENDS 45

4.1 INTRODUCTION 454.2 TRADITIONAL SQM & TELCO CEM 454.3 CLOUD IMPACT 474.4 SOCIAL INFLUENCE ON CUSTOMER EXPERIENCE 474.5 TOOLS & TECHNIQUES 474.5.1 WEB CONTENT MANAGEMENT 474.5.2 TARGETING & PERSONALIZATION 484.5.3 EMAIL AND CAMPAIGN MANAGEMENT 484.5.4 TRANSLATION & LOCALIZATION SERVICES 484.5.5 CUSTOMER RELATIONSHIP MANAGEMENT 484.5.6 SERVICE QUALITY MANAGEMENT (SQM) 494.5.7 SERVICE LEVEL AGREEMENT (SLA) MONITORING 494.5.8 SERVICE MONITORING 494.5.9 FAULT MANAGEMENT 504.5.10 PERFORMANCE MANAGEMENT 50

5 SQM & TELCO CEM: MARKET SIZE & FORECAST BY PRODUCT 51

5.1 INTRODUCTION 525.2 ENTERPRISE FEEDBACK MANAGEMENT (EFM) 565.2.1 OVERVIEW 565.2.2 MARKET SIZE & FORECAST BY END-USER 575.3 WEB ANALYTICS 595.3.1 OVERVIEW 595.3.2 MARKET SIZE & FORECAST BY END-USER 605.4 TEXT ANALYTICS 625.4.1 OVERVIEW 625.4.2 MARKET SIZE & FORECAST BY END-USER 635.5 SPEECH ANALYTICS 655.5.1 OVERVIEW 655.5.2 MARKET SIZE & FORECAST BY END-USER 665.6 OTHERS 695.6.1 OVERVIEW 695.6.2 MARKET SIZE & FORECAST BY END-USER 69

6 SQM & TELCO CEM: MARKET SIZE & FORECAST BY PROVIDER 72

6.1 INTRODUCTION 736.2 INTERNET SERVICE PROVIDER (ISP) 776.2.1 OVERVIEW 776.2.2 MARKET SIZE & FORECAST BY END-USER 776.3 TELECOM SERVICE PROVIDER (TSP) 806.3.1 OVERVIEW 806.3.2 MARKET SIZE & FORECAST BY END-USER 806.4 MANAGED SERVICE PROVIDER (MSP) 826.4.1 OVERVIEW 826.4.2 MARKET SIZE & FORECAST BY END-USER 836.5 OTHERS 856.5.1 OVERVIEW 856.5.2 MARKET SIZE & FORECAST BY END-USER 85

7 SQM & TELCO CEM: MARKET SIZE & FORECAST BY CHANNELS 88

7.1 INTRODUCTION 897.2 COMPANY WEBSITE 937.2.1 OVERVIEW 937.2.2 MARKET SIZE & FORECAST BY END-USER 937.3 BRANCH/STORE 967.3.1 OVERVIEW 967.3.2 MARKET SIZE & FORECAST BY END-USER 967.4 WEB 997.4.1 OVERVIEW 997.4.2 MARKET SIZE & FORECAST BY END-USER 997.5 CALL CENTER 1027.5.1 OVERVIEW 1027.5.2 MARKET SIZE & FORECAST BY END-USER 1027.6 MOBILE 1047.6.1 OVERVIEW 1047.6.2 MARKET SIZE & FORECAST BY END-USER 1057.7 SOCIAL MEDIA 1077.7.1 OVERVIEW 1077.7.2 MARKET SIZE & FORECAST BY END-USER 108

8 SQM & TELCO CEM: MARKET SIZE & FORECAST BY END-USER 111

8.1 INTRODUCTION 1128.2 SMALL & MEDIUM BUSINESSES (SMBS) 1128.2.1 OVERVIEW 1128.2.2 MARKET SIZE & FORECAST BY REGION 1128.3 ENTERPRISES 1168.3.1 OVERVIEW 1168.3.2 MARKET SIZE & FORECAST BY REGION 116

9 SQM & TELCO CEM: MARKET SIZE & FORECAST BY SUPPORT SYSTEM 120

9.1 INTRODUCTION 1219.1.1 MARKET SIZE & FORECAST BY SUPPORT SYSTEM 121

10 SQM & TELCO CEM: MARKET SIZE & FORECAST BY REGION 124

10.1 INTRODUCTION 12510.2 NORTH AMERICA 12910.2.1 OVERVIEW 12910.2.2 MARKET SIZE & FORECAST BY PRODUCT 12910.2.3 MARKET SIZE & FORECAST BY PROVIDER 13310.2.4 MARKET SIZE & FORECAST BY CHANNEL 13710.3 EUROPE 14110.3.1 OVERVIEW 14110.3.2 MARKET SIZE & FORECAST BY PRODUCT 14110.3.3 MARKET SIZE & FORECAST BY PROVIDER 14410.3.4 MARKET SIZE & FORECAST BY CHANNEL 14810.4 ASIA-PACIFIC 15210.4.1 OVERVIEW 15210.4.2 MARKET SIZE & FORECAST BY PRODUCT 15210.4.3 MARKET SIZE & FORECAST BY PROVIDER 15610.4.4 MARKET SIZE & FORECAST BY CHANNEL 15810.5 MIDDLE EAST & AFRICA 16310.5.1 OVERVIEW 16310.5.2 MARKET SIZE & FORECAST BY PRODUCT 16310.5.3 MARKET SIZE & FORECAST BY PROVIDER 16710.5.4 MARKET SIZE & FORECAST BY CHANNEL 17110.6 LATIN AMERICA 17510.6.1 OVERVIEW 17510.6.2 MARKET SIZE & FORECAST BY PRODUCT 17510.6.3 MARKET SIZE & FORECAST BY PROVIDER 17810.6.4 MARKET SIZE & FORECAST BY CHANNEL 182

11 SQM AND TELCO CEM: MARKET LANDSCAPE 186

11.1 ECOSYSTEM & ROLES 18611.2 PORTFOLIO COMPARISON 18711.2.1 OVERVIEW 18711.2.2 PRODUCT CATEGORY MAPPING 187

12 COMPANY PROFILES 188 (Overview, Products & Services, Strategies & Insights, Developments and MnM View)*

12.1 ADOBE SYSTEMS 18812.2 AMDOCS 19112.3 ALCATEL-LUCENT 19412.4 CISCO 19712.5 EGAIN CORPORATION 20112.6 ERICSSON 20412.7 HP 20712.8 IBM 21012.9 NOKIA SIEMENS NETWORK 21412.10 ORACLE 218*Details on Overview, Products & Services, Strategies & Insights, Developments and MnM View might not be captured in case of unlisted companies.

LIST OF TABLES

TABLE 1 TELCO CEM MARKET, 2014 – 2019 ($MILLION, Y-O-Y %) 29TABLE 2 SQM MARKET, 2014 – 2019 ($MILLION, Y-O-Y %) 30TABLE 3 DRO IMPACT ANALYSIS 42TABLE 4 TRADITIONAL SQM VS TELCO CEM 46TABLE 5 TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 52TABLE 6 TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 54TABLE 7 SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 55TABLE 8 SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 56TABLE 9 TELCO CEM: ENTERPRISE FEEDBACK MANAGEMENT MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 57TABLE 10 TELCO CEM: ENTERPRISE FEEDBACK MANAGEMENT MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 58TABLE 11 SQM: ENTERPRISE FEEDBACK MANAGEMENT MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 58TABLE 12 SQM: ENTERPRISE FEEDBACK MANAGEMENT MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 59TABLE 13 TELCO CEM: WEB ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 60TABLE 14 TELCO CEM: WEB ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 61TABLE 15 SQM: WEB ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 61TABLE 16 SQM: WEB ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 62TABLE 17 TELCO CEM: TEXT ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 63TABLE 18 TELCO CEM: TEXT ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 64TABLE 19 SQM: TEXT ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 64TABLE 20 SQM: TEXT ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 65TABLE 21 TELCO CEM: SPEECH ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 66TABLE 22 TELCO CEM: SPEECH ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 67TABLE 23 SQM: SPEECH ANALYTICS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 67TABLE 24 SQM: SPEECH ANALYTICS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 68TABLE 25 TELCO CEM: OTHERS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 69TABLE 26 TELCO CEM: OTHERS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 70TABLE 27 SQM: OTHERS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 70TABLE 28 SQM: OTHERS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 71TABLE 29 TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 73TABLE 30 TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 75TABLE 31 SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 76TABLE 32 SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019, (Y-O-Y %) 77TABLE 33 TELCO CEM: INTERNET SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 78TABLE 34 TELCO CEM: INTERNET SERVICE PROVIDER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 78TABLE 35 SQM: INTERNET SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 79TABLE 36 SQM: INTERNET SERVICE PROVIDER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 79TABLE 37 TELCO CEM: TELECOM SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 80TABLE 38 TELCO CEM: TELECOM SERVICE PROVIDER MARKET GROWTH,BY END-USER, 2014 – 2019 (Y-O-Y %) 81TABLE 39 SQM: TELECOM SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 81TABLE 40 SQM: TELECOM SERVICE PROVIDER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 82TABLE 41 TELCO CEM: MANAGED SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 83TABLE 42 TELCO CEM: MANAGED SERVICE PROVIDER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 84TABLE 43 SQM: MANAGED SERVICE PROVIDER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 84TABLE 44 SQM: MANAGED SERVICE PROVIDER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 85TABLE 45 TELCO CEM: OTHER SERVICE PROVIDERS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 86TABLE 46 TELCO CEM: OTHER SERVICE PROVIDERS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 86TABLE 47 SQM: OTHER SERVICE PROVIDERS MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 87TABLE 48 SQM: OTHER SERVICE PROVIDERS MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 87TABLE 49 TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 89TABLE 50 TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 90TABLE 51 SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 91TABLE 52 SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 93TABLE 53 TELCO CEM: COMPANY WEBSITE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 94TABLE 54 TELCO CEM: COMPANY WEBSITE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 94TABLE 55 SQM: COMPANY WEBSITE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 95TABLE 56 SQM: COMPANY WEBSITE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 96TABLE 57 TELCO CEM: BRANCH/STORE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 97TABLE 58 TELCO CEM: BRANCH/STORE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 97TABLE 59 SQM: BRANCH/STORE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 98TABLE 60 SQM: BRANCH/STORE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 99TABLE 61 TELCO CEM: WEB MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 100TABLE 62 TELCO CEM: WEB MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 100TABLE 63 SQM: WEB MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 101TABLE 64 SQM: WEB MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 101TABLE 65 TELCO CEM: CALL CENTER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 102TABLE 66 TELCO CEM: CALL CENTER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 103TABLE 67 SQM: CALL CENTER MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 103TABLE 68 SQM: CALL CENTER MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 104TABLE 69 TELCO CEM: MOBILE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 105TABLE 70 TELCO CEM: MOBILE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 106TABLE 71 SQM: MOBILE MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 106TABLE 72 SQM: MOBILE MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 107TABLE 73 TELCO CEM: SOCIAL MEDIA MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 108TABLE 74 TELCO CEM: SOCIAL MEDIA MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 109TABLE 75 SQM: SOCIAL MEDIA MARKET SIZE, BY END-USER, 2014 – 2019 ($MILLION) 109TABLE 76 SQM: SOCIAL MEDIA MARKET GROWTH, BY END-USER, 2014 – 2019 (Y-O-Y %) 110TABLE 77 TELCO CEM: SMALL AND MEDIUM BUSINESSES MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 112TABLE 78 TELCO CEM: SMALL AND MEDIUM BUSINESSES MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 113TABLE 79 SQM: SMALL AND MEDIUM BUSINESSES MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 114TABLE 80 SQM: SMALL AND MEDIUM BUSINESSES MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 115TABLE 81 TELCO CEM: ENTERPRISES MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 116TABLE 82 TELCO CEM: ENTERPRISES MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 117TABLE 83 SQM: ENTERPRISES MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 118TABLE 84 SQM: ENTERPRISES MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 119TABLE 85 TELCO CEM MARKET SIZE, BY SUPPORT SYSTEM, 2014 – 2019 ($MILLION) 121TABLE 86 TELCO CEM MARKET GROWTH, BY SUPPORT SYSTEM, 2014 – 2019 (Y-O-Y %) 122TABLE 87 SQM MARKET SIZE, BY SUPPORT SYSTEM, 2014 – 2019 ($MILLION) 123TABLE 88 SQM MARKET GROWTH, BY SUPPORT SYSTEM, 2014 – 2019 (Y-O-Y %) 123TABLE 89 TELCO CEM MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 125TABLE 90 TELCO CEM MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 126TABLE 91 SQM MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 127TABLE 92 SQM MARKET GROWTH, BY REGION, 2014 – 2019 (Y-O-Y %) 128TABLE 93 NORTH AMERICA: TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 129TABLE 94 NORTH AMERICA: TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 130TABLE 95 NORTH AMERICA: SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 131TABLE 96 NORTH AMERICA: SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 132TABLE 97 NORTH AMERICA: TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 133TABLE 98 NORTH AMERICA: TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 134TABLE 99 NORTH AMERICA: SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 135TABLE 100 NORTH AMERICA: SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 136TABLE 101 NORTH AMERICA: TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 137TABLE 102 NORTH AMERICA: TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 138TABLE 103 NORTH AMERICA: SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 139TABLE 104 NORTH AMERICA: SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 140TABLE 105 EUROPE: TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 141TABLE 106 EUROPE: TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 142TABLE 107 EUROPE: SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 142TABLE 108 EUROPE: SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 143TABLE 109 EUROPE: TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 144TABLE 110 EUROPE: TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 145TABLE 111 EUROPE: SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 146TABLE 112 EUROPE: SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 147TABLE 113 EUROPE: TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 148TABLE 114 EUROPE: TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 149TABLE 115 EUROPE: SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 150TABLE 116 EUROPE: SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 151TABLE 117 ASIA-PACIFIC: TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 152TABLE 118 ASIA-PACIFIC: TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 153TABLE 119 ASIA-PACIFIC: SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 154TABLE 120 ASIA-PACIFIC: SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 155TABLE 121 ASIA-PACIFIC: TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 156TABLE 122 ASIA-PACIFIC: TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 157TABLE 123 ASIA-PACIFIC: SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 157TABLE 124 ASIA-PACIFIC: SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 158TABLE 125 ASIA-PACIFIC: TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 159TABLE 126 ASIA-PACIFIC: TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 160TABLE 127 ASIA-PACIFIC: SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 161TABLE 128 ASIA-PACIFIC: SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 162TABLE 129 MIDDLE EAST AND AFRICA: TELCO CEM MARKET SIZE, BY PRODUCT 2014 – 2019 ($MILLION) 163TABLE 130 MIDDLE EAST AND AFRICA: TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 164TABLE 131 MIDDLE EAST AND AFRICA: SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 165TABLE 132 MIDDLE EAST AND AFRICA: SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 166TABLE 133 MIDDLE EAST AND AFRICA: TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 167TABLE 134 MIDDLE EAST AND AFRICA: TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 168TABLE 135 MIDDLE EAST AND AFRICA: SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 169TABLE 136 MIDDLE EAST AND AFRICA: SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 170TABLE 137 MIDDLE EAST AND AFRICA: TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 171TABLE 138 MIDDLE EAST AND AFRICA: TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 172TABLE 139 MIDDLE EAST AND AFRICA: SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 173TABLE 140 MIDDLE EAST AND AFRICA: SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 174TABLE 141 LATIN AMERICA: TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 175TABLE 142 LATIN AMERICA: TELCO CEM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 176TABLE 143 LATIN AMERICA: SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 177TABLE 144 LATIN AMERICA: SQM MARKET GROWTH, BY PRODUCT, 2014 – 2019 (Y-O-Y %) 178TABLE 145 LATIN AMERICA: TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 179TABLE 146 LATIN AMERICA: TELCO CEM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 179TABLE 147 LATIN AMERICA: SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 180TABLE 148 LATIN AMERICA: SQM MARKET GROWTH, BY PROVIDER, 2014 – 2019 (Y-O-Y %) 181TABLE 149 LATIN AMERICA: TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 182TABLE 150 LATIN AMERICA: TELCO CEM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 183TABLE 151 LATIN AMERICA: SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 184TABLE 152 LATIN AMERICA: SQM MARKET GROWTH, BY CHANNEL, 2014 – 2019 (Y-O-Y %) 185

LIST OF FIGURES

FIGURE 1 TELCO CEM: RESEARCH METHODOLOGY 24FIGURE 2 SQM AND TELCO CEM: DATA TRIANGULATION AND MARKET FORECASTING 26FIGURE 3 TELCO CEM MARKET, 2014 – 2019 ($MILLION, Y-O-Y %) 30FIGURE 4 SQM MARKET, 2014 – 2019 ($MILLION, Y-O-Y %) 31FIGURE 5 TELCO CEM PROCESS 34FIGURE 6 EVOLUTION OF SQM AND TELCO CEM 36FIGURE 7 SQM AND TELCO CEM: MARKET SEGMENTATION 37FIGURE 8 BUSINESS VALUE ANALYSIS 43FIGURE 9 TELCO CEM ECOSYSTEM 44FIGURE 10 TELCO CEM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 53FIGURE 11 SQM MARKET SIZE, BY PRODUCT, 2014 – 2019 ($MILLION) 55FIGURE 12 TELCO CEM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 74FIGURE 13 SQM MARKET SIZE, BY PROVIDER, 2014 – 2019 ($MILLION) 76FIGURE 14 TELCO CEM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 90FIGURE 15 SQM MARKET SIZE, BY CHANNEL, 2014 – 2019 ($MILLION) 92FIGURE 16 TELCO CEM MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 126FIGURE 17 SQM MARKET SIZE, BY REGION, 2014 – 2019 ($MILLION) 128FIGURE 18 SQM AND TELCO CEM: ECOSYSTEM 186FIGURE 19 SQM AND TELCO CEM: PRODUCT PORFOLIO COMPARISON 187

To order this report: Service Quality Management (SQM) & Telco Customer Experience Management (CEM) Market by Product Type (EFM, Web Analytics, Text Analytics, Speech Analytics) & Provider Type (ISP, TSP, MSP) - Global Advancements, Worldwide Forecasts & Analysis (2014-2019)

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The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is new, what is old, and what the future may hold.
Whether you're a startup or a 100 year old enterprise, the Internet of Things offers a variety of new capabilities for your business. IoT style solutions can help you get closer your customers, launch new product lines and take over an industry. Some companies are dipping their toes in, but many have already taken the plunge, all while dramatic new capabilities continue to emerge. In his session at Internet of @ThingsExpo, Reid Carlberg, Senior Director, Developer Evangelism at salesforce.com, to discuss real-world use cases, patterns and opportunities you can harness today.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...