Edison , NJ -- (SBWIRE) -- 03/16/2019 -- Conversation intelligence (CI) software is a machine learning-infused sales training software tool that helps sales orgs optimize and improve their ability to close deals. CI software records sales calls and facilitates playback, transcriptions, and scoring, so that both sales representatives and sales managers can identify highs and lows. With CI software, sales organizations can leverage and disseminate best practices to all representatives, as well as unlock hidden insights that exist in the current customer relationship management (CRM). Moreover, CI software's coaching and development functionalities encourage knowledge sharing, improve sales processes, and optimize pipelines.

Advance Market Analytics recently introduced Conversational Intelligence Software Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2024. Conversational Intelligence Software Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry.

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Major Key Players in This Report Include,
IBM (United States), Amazon (United States), Google (United States), Microsoft (United States), Automated Insights (United States), ARRIA NLG (United Kingdom), AX Semantics (Germany), Yseop (United States), Artificial Solutions (Sweden), Narrativa (Spain) and Retresco (Germany)

The report focuses on Global Conversational Intelligence Software Market major leading industry players with information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials, equipment and downstream consumers analysis is also carried out. What's more, the market development trends and marketing channels are analyzed.

The market study is being classified by Type, by Application and major geographies with country level break-up that includes South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico).

The research methodology used to estimate and forecast the Conversational Intelligence Software Market began with capturing data from the key vendors' revenue and market size of the individual segments through secondary sources, industry associations, and trade journals, such as the World Analytics Association and the Cloud Native Computing Foundation. The bottom-up procedure was employed to arrive at the overall market size of the market from the individual segments. After arriving at the overall market size, the total market was split into several segments and sub segments, which were then verified through primary research by conducting extensive interviews with the key industry personnel, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and sub segments.

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Strategic Points Covered in Table of Content of Conversational Intelligence Software Market:
1. Market Overview
1.1. Introduction
1.2. Scope/Objective of the Study
1.2.1. Research Objective
2. Executive Summary
2.1. Introduction
3. Market Dynamics
3.1. Introduction
3.2. Market Drivers
3.2.1. Increasing Record Sales Calls for Playback and Archiving Purposes
3.2.2. Facilitate both Individual and Aggregated Analysis of Sales Calls
3.2.3. Enterprises are Leveraging AI Technology by Utilizing a Combination of Machine Learning and Natural Language Processing
3.3. Market Challenges
3.3.1. High Cost of Conversational Intelligence Software
3.4. Market Trends
3.4.1. The Growth of Retail and e-Commerce vertical in both Developing and Developed Economies
3.4.2. Increasing Government Spending on AI-Based Technologies
4. Market Factor Analysis
4.1. Porters Five Forces
4.2. Supply/Value Chain
4.3. PESTEL analysis
4.4. Market Entropy
4.5. Patent/Trademark Analysis
5. Global Conversational Intelligence Software, by Type, Application and Region (value and price) (2013-2018)

Finally, Conversational Intelligence Software Market is a valuable source of guidance for individuals and companies.

Data Sources & Methodology

The primary sources involves the industry experts from the Conversational Intelligence Software Market including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.

In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company's Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weight-age.

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