Pune, India -- (SBWIRE) -- 01/21/2020 -- Data Bridge Market research released a new research report of 350 Pages on titled "Global Call Center AI Market" Insights by Application, product Type, competitive Landscape & Regional Forecast 2026. This report offers you a global Industry Analysis, industry Size, Shares, Growth, Trends, revenue, cost and gross Margin along with an analytical assessment of the prime challenges faced by the market. The report starts by an introduction about the company profiling and a comprehensive review about the future events, sales strategies, Investments, business marketing strategy, future products, new geographical markets, customer actions or behaviours with the help of 100+ market data Tables, Pie Charts, Graphs & Figures spread through Pages for easy understanding. Call Center AI market report has been designed by keeping in mind the customer requirements which assist them in increasing their return on investment (ROI and this research also provides a deep insight into the activities of key players such as IBM, Google, Microsoft, Oracle, SAP, Amazon Web Services, Nuance Communications, Avaya, Haptik, and others.

Global call center AI market is expected to rise to an estimated value of USD 4735.10 million by 2026, registering a healthy CAGR in the forecast period of 2019-2026. This rise in market value can be attributed to the increased adoption of automated services in business operations along with innovations/advancements in AI.

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Prominent Market Players: Call Center AI Market

IBM, Google, Microsoft, Oracle, SAP, Amazon Web Services, Nuance Communications, Avaya, Haptik, Artificial Solutions, Zendesk, Conversica, Rulai, Inbenta Technologies, Kore.ai, EdgeVerve Systems, Pypestream, Avaamo, Talkdesk, Creative Virtual,  SmartAction, Bright Pattern, RankMiner, Genesys, among others.

"Product Definition"

Call center AI (Artificial Intelligence) is a specialised application of AI for customer engagement helping automate the operations of business. This application of AI essentially means that the customers are engaged in solving the issues of customers without requiring the need of specialised agents to communicate with the customers. The AI suggests solutions based on the issue present by the consumer, and if the problem is complicated then the complaint is forwarded to a human agent.

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 AI Market offers:

=> 100+ charts exploring and analyzing the Call Center AI market from critical angles including retail forecasts, consumer demand, production and more
=> 10+ profiles of top Call Center AI 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 AI type

Key Segmentation: Call Center AI Market

By Component (Compute Platforms, Solutions, Services), Deployment Type (On-Premise, Cloud), Vertical (BFSI, Retail & E-Commerce, Healthcare, Telecom, Media & Entertainment, Travel & Hospitality, Others), Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)

Rapid Business Growth Factors

In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor that's helping the market grow faster than usual is the tough competition.

What are the major market growth drivers?

Increased usage of AI amid a need to present unique customer solutions; this factor is expected to drive the growth of the market

Increasing requirements of customer engagement platforms because of a surge of customer engagement services through social media; this factor is expected to drive the growth of the market

Significant surge in the amounts of data being generated and better effectiveness associated with AI analysis is expected to foster growth in the market

Points Which Are Focused In the Report

The report offers market share appraisals for regional and global levels

Potential and niche segments/regions exhibiting promising growth

What are the challenges being faced by the new entrants

Future trends to elucidate imminent investment pockets.

This report provides pin-point analysis for changing competitive dynamics

Comprehensive analysis of the factors that drive and restrict the market growth is provided in the report

Key Developments in the Market:

In November 2018, Microsoft announced that they had agreed to acquire XOXCO, with the company dealing in development of software and services for conversational AI. This acquisition is a complement to Microsoft's strategy of developing AI driving its innovations for a variety of applications and businesses.

In October 2018, Google announced that they had acquired Onward, AI chatbot, for an undisclosed agreement although the founders of the start-up will be integrated into Google. This acquisition will help Google in further advancing and modifying its own service offering, the "Google Assistant". They plan to provide automated customer services and sales assistants for businesses.

Some extract from Table of Contents

Overview of Global Call Center AI Market

Call Center AI Size (Sales Volume) Comparison by Type

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

Call Center AI Size (Value) Comparison by Region

Call Center AI Sales, Revenue and Growth Rate

Call Center AI 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 AI

Global Call Center AI 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@ https://www.databridgemarketresearch.com/toc/?dbmr=global-call-center-ai-market

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

Supply Side: Product Managers, Marketing Managers, C-Level Executives, Distributors, Market Intelligence, and Regulatory Affairs Managers among others.

Primary Respondents, Demand Side

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