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Global Call Center Platforms Market To Witness Rapid Economic Growth 2020-2027 | Amazon Web Service, Cisco, IBM, Oracle, SAP, Nuance Communications

01-13-2020 08:09 AM CET | IT, New Media & Software

Press release from: Data Bridge Market Research

Global Call Center Platforms Market

Global Call Center Platforms Market

Call center platforms market report comprises of an all-inclusive market data that makes it easy for the ICT industry to take strategic decisions and attain growth objectives. This exclusive and excellent market report has been formulated by a team of keen analysts, skilled researchers and skilled forecasters who work strictly for the best outcome. The scope of this call center platforms market research report can be overviewed in terms of industry research, customer insights, market sizing and forecast, competitive analysis, market entry strategy, pricing trends, sustainability trends, innovation trends, technology evolution, and distribution channel assessment. The report assures brilliant solutions to the challenges and problems faced by ICT industry.

The data in this call center platforms report have been represented in the graphical format for an explicit understanding of facts and figures. This market research report also estimates the potential market for a new products, consumer’s reactions for a particular products, general market tendencies, different types of customers, and intensity of marketing problem. By using SWOT analysis throughout the report, the global key manufacturers, market definition, description and analysis of the market competition landscape along with many other factors has been highlighted. Expert advices and talent solutions combined with potential capabilities make this call center platforms market report outperforming.

Global call center platforms market is expected to gain market growth in the forecast period of 2020 to 2027. Data Bridge Market Research analyses that the market is growing with the CAGR of 15.2% in the forecast period of 2020 to 2027 and expected to reach USD 63,632.69 million by 2027 from USD 20,643.63 million in 2019. Rising adoption of IOT among the enterprise is expected to drive market of call center platforms.

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Major Industry Competitors: Call Center Platforms Market

Cisco, IBM, Oracle, SAP, Nuance Communications, Amazon Web Service, Avaamo, Talkdesk, Creative Virtual, Aspect Software, VICIhost, Dixa, DIALPAD, INC, Aavaz, Five9, Avaya, NICE inContact, Zendesk, Genesys, Mitel Networks Corp, 8×8. among other players domestic and global. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Growing adoption of connected devices trend among the enterprise is one of the prominent factors that drive the growth of the call center platforms market. For instance, it has been witnessed that there will be around 400 million IoT devices at the end of 2016 and that projected to reach 1.5 billion in 2022, or around 70 percent of the wide-area category. Thus, growing adoption connected devices provide benefit to call center agents in terms of helping customers with as many possible devices which allow the company to sustain their customer for longer period of time.

Thinking One Step Ahead

In today’s competitive world you need to think one step ahead to chase your competitors, our research offers reviews about key players, major collaborations, merger & acquisitions along with trending innovation and business policies to present better insights to drive the business into right direction

The 2020 Annual Call Center Platforms Market offers:

=> 100+ charts exploring and analyzing the Call Center Platforms market from critical angles including retail forecasts, consumer demand, production and more
=> 10+ profiles of top Call Center Platforms producing states, with highlights of market conditions and retail trends
=> Regulatory outlook, best practices, and future considerations for manufacturers and industry players seeking to meet consumer demand
=> Benchmark wholesale prices, market position, plus prices for raw materials involved in Call Center Platforms type

Key Segmentation: Call Center Platforms Market

Offering (Software and Service), Platform (Outbound Dialer, Inbound Voice, Web Chat, Omni channel Agent, Social Media, Email, Messaging, and Others), Organization Size (Large Organization and Small & Medium Organization), Deployment Model (On-Premise, Hybrid and Cloud), Industry (IT and Telecommunication, Banking, Financial Service and Insurance, Retail, Healthcare, Government, Travel & Hospitality, Transport & Logistics, Media & Entertainment, Education, Manufacturing, Energy & Utilities, and Others)

Market Scope and Market Size

Call center platforms market is segmented on the basis offering, platform, organization size, deployment model and industry. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

On the basis of offering, the market is segmented into software and service. The growing automation in the various vertical has increase the demand of software solution to manage the customer base.

On the basis of platform, the market is segmented into outbound dialer, inbound voice, web chat, omni-channel agent, social media, email, messaging and others. Outbound dialer accounted largest market share in the market. The growing telemarketing among the business for increasing sales of the business has increase the demand of outbound dialer.

Call Center Platforms Market Country Level Analysis

Global call center platforms market is analysed and market size information is provided by country, by offering, organization size, deployment model, industry and platform as referenced above.

The region covered in the call center platforms market report are North America, Europe, Asia-Pacific, Middle East and Africa and South America.

Key Developments in the Market:

In September 2019, Cisco organised its 10th Annual Cisco Contact Center Summit. In its 10th Annual Cisco Contact Center Summit the company discussed about AI acquisitions with Accompany, Voicea, CloudCherry that helps to improve contact centers. This will help the company in expanding its business though new segments.

In March 2019, NICE inContact, won the best Contact Center Infrastructure from CRM Service Leaders Awards. This award was won by the company for 2 consecutive years. This award has resulted in gaining company’s recognition and goodwill in the market.

Some extract from Table of Contents

Overview of Global Call Center Platforms Market

Call Center Platforms Size (Sales Volume) Comparison by Type

Call Center Platforms Size (Consumption) and Market Share Comparison by Application

Call Center Platforms Size (Value) Comparison by Region

Call Center Platforms Sales, Revenue and Growth Rate

Call Center Platforms Competitive Situation and Trends

Strategic proposal for estimating availability of core business segments

Players/Suppliers, Sales Area

Analyze competitors, including all important parameters of Call Center Platforms

Global Call Center Platforms Manufacturing Cost Analysis

The most recent innovative headway and supply chain pattern mapping

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.

Table Of Contents Is Available Here@

Why Is Data Triangulation Important In Qualitative Research?

This involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. Triangulation is one method used while reviewing, synthesizing and interpreting field data. Data triangulation has been advocated as a methodological technique not only to enhance the validity of the research findings but also to achieve ‘completeness’ and ‘confirmation’ of data using multiple methods


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