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Global Call Center Artificial Intelligence (AI) Market – Industry Trends and Forecast to 2030

ICT | Upcoming Report | Nov 2022 | Global | 350 Pages | No of Tables: 220 | No of Figures: 60
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Global Call Center Ai Market

Market Size in USD Billion

CAGR :  %

USD 2,294.22 Billion USD 7,553.36 Billion 2022 2030
Forecast Period
2023 –2030
Market Size(Base Year)
USD 2,294.22 Billion
Market Size (Forecast Year)
USD 7,553.36 Billion
CAGR
%
Major Markets Players
  • Oracle
  • IBM
  • RACKSPACE TECHNOLOGYMicrosoft
  • VMwareInc.Dell Inc.Redcentric plc
  • Google LLC

Global Call Center Artificial Intelligence (AI) Market, By Component (Solutions, Services), Application (Workforce Optimization, Predictive Call Routing, Journey Orchestration, Agent Performance Management, Sentiment Analysis, Appointment Scheduling), Organization Size (SME, Large Enterprises), Deployment Mode (Cloud, On-Premises), End Use (BFSI, Retail & E-Commerce, Media & Entertainment, Healthcare, IT & Telecom, Travel & Hospitality) – Industry Trends and Forecast to 2030.

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 Call Center Artificial Intelligence (AI) Market Analysis and Size

The increasing need for better data analytical capabilities to cater to customer inquiries in real-time and increase customer engagement through social media will boost the demand for the call center artificial intelligence (AI) in the market. Industries have also understood that improved consumer service can aid in growing profitability. Therefore, industries are aggressively adopting call center artificial intelligence (AI) to increase consumer service, thus contributing to call center artificial intelligence (AI) market growth.

Data Bridge Market Research analyses that the call center artificial intelligence (AI) market was valued at USD 2294.22 million in 2022 and is expected to reach the value of USD 7553.36 million by 2030, at a CAGR of 15.70% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

Call Center Artificial Intelligence (AI) Market Scope and Segmentation

Report Metric

Details

Forecast Period

2023 to 2030

Base Year

2022

Historic Years

2021 (Customizable to 2015 - 2020)

Quantitative Units

Revenue in USD Million, Volumes in Units, Pricing in USD

Segments Covered

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

Countries Covered

U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America

Market Players Covered

Oracle (U.S.), IBM (U.S.), RACKSPACE TECHNOLOGY, (U.S.), Microsoft (U.S.), VMware, Inc., (U.S.), Dell Inc., (U.S.), Redcentric plc (U.K.), Google LLC  (U.S.),  Cisco Systems, Inc. (U.S.), Red Hat, Inc. (U.S.), Getronics (Netherlands),  Hewlett Packard Enterprise Development LP (U.S.), CenturyLink (U.S.), NEC Corporation (Japan), Joyent, Inc  (U.S.), AT&T Intellectual Property (U.S.), Citrix Systems, Inc. (U.S.) and NTT DATA Corporation (Japan)

Market Opportunities

  • Surging Product Launches And Other Innovations
  • Application Of Machine Learning And The Internet Of Things

Market Definition

Call center artificial intelligence (AI) refers to a specialised application of artificial intelligence (AI) for customer engagement that helps in programming business operations. The customers engage in solving their issues with no necessity of specialised agents to communicate with consumers. Artificial intelligence (AI) suggests solutions based on the problem present by the consumer. The complaint is sent to a human agent if the difficulties persist.

Global Call Center Artificial Intelligence (AI) Market

Drivers

  • Increasing preference of cloud-based contact center solutions

The mounting usage of cloud based contact centers is estimated to increase the demand of call center artificial intelligence (AI) and further expand the call center artificial intelligence (AI) market growth rate. Agents can get real-time access to consumer information from any location through cloud-based technologies. Moreover, cloud-based call center AI solutions do not need full-time workers to work physically; this technology allows agents to be work from anywhere. Call center artificial intelligence (AI) vendors form a functional architecture where end-user infrastructure processing is separated between two sites.

  • Increasing need to automate customer service

Consumer care executives are now creating closer consumer relationships to deliver long-term value for firms. As per the study, approx., more than 60% of industries are improving their data analysis, which is significant for providing better consumer experience. Now businesses and companies have more access to modified client data for better experiences owing to artificial intelligence (AI) and machine learning (ML) technologies. For instance, artificial intelligence (AI) social media can quickly help clients to solve their own problems. Business process automation will also improve overall organizational performance of employee and agility by providing actionable data for consumer insights.

Opportunities

  • Increasing development in customer engagement

With the proliferation of platforms, such as Twitter, Facebook and WhatsApp, the reach of social channels has developed exponentially. For instance, in April 2023, Facebook alone had around 3 billion monthly active users. Consumers resort to these online platforms to find data and participate in communities to solve service issues. They progressively trust on social media to learn about companies or brands, especially millennial consumers and the young generation. Therefore, organizations have planned to make productive use of social channels, to advance customer engagement. This would help accelerate the call center artificial intelligence (AI) market and will likely to generate ample and new opportunities for the market growth in the forecast period.

Restraints

  • Issues associated with privacy and

Data security and privacy concerns and preference for online chat over chatbots are some of the major factors among other which are expected to obstruct the growth of the center artificial intelligence (AI) market. Lack of unsupervised learning and skilled employees are projected to challenge the center artificial intelligence (AI) market in the forecast period of 2023-2030.

This call center artificial intelligence (AI) market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the call center artificial intelligence (AI) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Call Center Artificial Intelligence (AI) Market

The outbreak of COVID-19 had a positive impact on the call center artificial intelligence (AI) market. The overall call volume to call centers raised considerably during pandemic. According to the report, call center artificial intelligence (AI) witnessed over 300% more calls than usual during the initial stages of pandemic. Whereas IBM Watson Assistant witnessed growth over 60% in monthly active consmusers from January to December 2020. This led industries in investing for software to improve the efficiency of redundant tasks and automate processes.

Recent Development

  • In January 2023, Sprinklr announced its partnership with Google Cloud. This partnership will aid enterprises to reimagine its consumer experience management strategies. This partnership will also help Sprinklr to grow awareness among its joint customers and accelerate its go-to-market strategy.
  • In September 2021, Leidos partnered with Nuance Omnichannel Conversational AI Platform. This partnership will help to improve digital patient engagement solutions for healthcare companies. Leidos develops solutions using Nuance's AI technology, which advances their customers' assignments to improve outcomes, care quality and costs, by building tailored solutions for digital patient engagement.

Global Call Center Artificial Intelligence (AI) Market Scope

The call center artificial intelligence (AI) market is segmented on the basis of component, application, organization size, deployment mode and end-user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

  • Solutions
  • Services

Application

  • Workforce Optimization
  • Predictive Call Routing
  • Journey Orchestration
  • Agent Performance Management
  • Sentiment Analysis
  • Appointment Scheduling

Organization Size

  • SME
  • Large Enterprises

Deployment Mode

  • Cloud
  • On-Premises

End Use

  • BFSI
  • Retail & E-Commerce
  • Media & Entertainment
  • Healthcare
  • IT & Telecom
  • Travel & Hospitality

Call Center Artificial Intelligence (AI) Market Regional Analysis/Insights

The call center artificial intelligence (AI) market is analyzed and market size insights and trends are provided by country, component, application, organization size, deployment mode and end-user as referenced above.

The countries covered in the call center artificial intelligence (AI) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the call center artificial intelligence (AI) market because of increasing business automation among end user industries. The rapid technological developments and presence of global vendors within the regionwill likely to boost the market growth.

Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 due to economic growth in this region. The presence of major market players and the increased spending on call centers to deliver efficient services across industries will likely boost market growth in the region.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Call Center Artificial Intelligence (AI) Market Share Analysis

The call center artificial intelligence (AI) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to call center artificial intelligence (AI) market.

Some of the major players operating in the call center artificial intelligence (AI) market are:

  • Oracle (U.S.)
  • IBM (U.S.)
  • RACKSPACE TECHNOLOGY, (U.S.)
  • Microsoft (U.S.)
  • VMware, Inc., (U.S.)
  • Dell Inc., (U.S.)
  • Redcentric plc (U.K.)
  • Google LLC (U.S.)
  • Cisco Systems, Inc. (U.S.)
  • Red Hat, Inc. (U.S.)
  • Getronics (Netherlands)
  • Hewlett Packard Enterprise Development LP (U.S.)
  • CenturyLink (U.S.)
  • NEC Corporation (Japan)
  • Joyent, Inc., (U.S.)
  • AT&T Intellectual Property (U.S.)
  • Citrix Systems, Inc. (U.S.)
  • NTT DATA Corporation (Japan)

 

 


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Table of Content

1 INTRODUCTION

1.1 OBJECTIVES OF THE STUDY

1.2 MARKET DEFINITION

1.3 OVERVIEW OF GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET

1.4 CURRENCY AND PRICING

1.5 LIMITATION

1.6 MARKETS COVERED

2 MARKET SEGMENTATION

2.1 KEY TAKEAWAYS

2.2 ARRIVING AT THE GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET

2.2.1 VENDOR POSITIONING GRID

2.2.2 TECHNOLOGY LIFE LINE CURVE

2.2.3 MARKET GUIDE

2.2.4 COMPANY POSITIONING GRID

2.2.5 COMAPANY MARKET SHARE ANALYSIS

2.2.6 MULTIVARIATE MODELLING

2.2.7 TOP TO BOTTOM ANALYSIS

2.2.8 STANDARDS OF MEASUREMENT

2.2.9 VENDOR SHARE ANALYSIS

2.2.10 DATA POINTS FROM KEY PRIMARY INTERVIEWS

2.2.11 DATA POINTS FROM KEY SECONDARY DATABASES

2.3 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET: RESEARCH SNAPSHOT

2.4 ASSUMPTIONS

3 MARKET OVERVIEW

3.1 DRIVERS

3.2 RESTRAINTS

3.3 OPPORTUNITIES

3.4 CHALLENGES

4 EXECUTIVE SUMMARY

5 PREMIUM INSIGHT

5.1 PORTERS FIVE FORCES

5.2 REGULATORY STANDARDS

5.3 TECHNOLOGICAL TRENDS

5.3.1 MACHINE LEARNING & DEEP LEARNING

5.3.2 NATURAL LANGUAGE PROCESSING

5.3.3 AUTOMATIC SPEECH RECOGNITION

5.3.4 CLOUD COMPUTING

5.3.5 OTHERS

5.4 PATENT ANALYSIS

5.5 CASE STUDY

5.6 VALUE CHAIN ANALYSIS

5.7 COMPANY COMPARITIVE ANALYSIS

6 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY OFFERING

6.1 OVERVIEW

6.2 SOFTWARE

6.2.1 VOICE ANALYSIS SOFTWARE

6.2.2 LEAD GENERATION

6.2.3 PRE-QUALIFYING LEAD

6.2.4 QUALITY & COMPLIANCE MONITORING

6.2.5 SMART CALL ROUTING

6.2.6 OTHERS

6.3 SERVICES

6.3.1 PROFESSIONAL SERVICES

6.3.1.1. CONSULTING & TRAINING

6.3.1.2. SUPPORT & MAINTENANCE

6.3.1.3. INTEGRATION & IMPLEMENTATION

6.3.2 MANAGED SERVICES

7 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION

7.1 OVERVIEW

7.2 PREDICTIVE CALL ROUTING

7.3 INTERACTIVE VOICE RESPONSE (IVR)

7.4 CONVERSATIONAL AI

7.5 EMOTIONAL INTELLIGENCE AI

7.6 AI-POWERED RECOMMENDATIONS

7.7 CALL ANALYTICS

7.8 GREATER AID IN WORKFORCE MANAGEMENT

7.9 OTHERS

8 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY MODE OF CHANNEL

8.1 OVERVIEW

8.2 PHONE

8.3 SOCIAL MEDIA

8.4 CHAT

8.5 E-MAIL & TEXT

8.6 OTHERS

9 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY DEPLOYMENT MODE

9.1 OVERVIEW

9.2 ON-PREMISES

9.3 CLOUD

10 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY ENTERPRISE SIZE

10.1 OVERVIEW

10.2 SMALL & MEDIUM ENTERPRISE SIZE

10.2.1 BY DEPLOYMENT MODE

10.2.1.1. ON-PREMISES

10.2.1.2. CLOUD

10.3 LARGE ENTERPRISE SIZE

10.3.1 BY DEPLOYMENT MODE

10.3.1.1. ON-PREMISES

10.3.1.2. CLOUD

11 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY CALL CENTER TYPE

11.1 OVERVIEW

11.2 INBOUND

11.3 OUTBOUND

12 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY END USER

12.1 OVERVIEW

12.2 BFSI

12.2.1 BY OFFERING

12.2.1.1. SOFTWARE

12.2.1.2. SERVICES

12.3 EDUCATION

12.3.1 BY OFFERING

12.3.1.1. SOFTWARE

12.3.1.2. SERVICES

12.4 TRANSPORTATION

12.4.1 BY OFFERING

12.4.1.1. SOFTWARE

12.4.1.2. SERVICES

12.5 TRAVEL & HOSPITALITY

12.5.1 BY OFFERING

12.5.1.1. SOFTWARE

12.5.1.2. SERVICES

12.6 HEALTHCARE

12.6.1 BY OFFERING

12.6.1.1. SOFTWARE

12.6.1.2. SERVICES

12.7 E-COMMERCE

12.7.1 BY OFFERING

12.7.1.1. SOFTWARE

12.7.1.2. SERVICES

12.8 MEDIA & ENTERTAINMENT

12.8.1 BY OFFERING

12.8.1.1. SOFTWARE

12.8.1.2. SERVICES

12.9 TELECOM

12.9.1 BY OFFERING

12.9.1.1. SOFTWARE

12.9.1.2. SERVICES

12.1 BUSINESS PROCESS OUTSOURCING (BPO)

12.10.1 BY OFFERING

12.10.1.1. SOFTWARE

12.10.1.2. SERVICES

12.11 OTHERS

13 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, BY GEOGRAPHY

GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)

13.1 NORTH AMERICA

13.1.1 U.S.

13.1.2 CANADA

13.1.3 MEXICO

13.2 EUROPE

13.2.1 GERMANY

13.2.2 FRANCE

13.2.3 U.K.

13.2.4 ITALY

13.2.5 SPAIN

13.2.6 RUSSIA

13.2.7 TURKEY

13.2.8 BELGIUM

13.2.9 NETHERLANDS

13.2.10 NORWAY

13.2.11 FINLAND

13.2.12 SWITZERLAND

13.2.13 DENMARK

13.2.14 SWEDEN

13.2.15 POLAND

13.2.16 REST OF EUROPE

13.3 ASIA PACIFIC

13.3.1 JAPAN

13.3.2 CHINA

13.3.3 SOUTH KOREA

13.3.4 INDIA

13.3.5 AUSTRALIA

13.3.6 NEW ZEALAND

13.3.7 SINGAPORE

13.3.8 THAILAND

13.3.9 MALAYSIA

13.3.10 INDONESIA

13.3.11 PHILIPPINES

13.3.12 TAIWAN

13.3.13 VIETNAM

13.3.14 REST OF ASIA PACIFIC

13.4 SOUTH AMERICA

13.4.1 BRAZIL

13.4.2 ARGENTINA

13.4.3 REST OF SOUTH AMERICA

13.5 MIDDLE EAST AND AFRICA

13.5.1 SOUTH AFRICA

13.5.2 EGYPT

13.5.3 SAUDI ARABIA

13.5.4 U.A.E

13.5.5 OMAN

13.5.6 BAHRAIN

13.5.7 ISRAEL

13.5.8 KUWAIT

13.5.9 QATAR

13.5.10 REST OF MIDDLE EAST AND AFRICA

13.6 KEY PRIMARY INSIGHTS: BY MAJOR COUNTRIES

14 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET,COMPANY LANDSCAPE

14.1 COMPANY SHARE ANALYSIS: GLOBAL

14.2 COMPANY SHARE ANALYSIS: NORTH AMERICA

14.3 COMPANY SHARE ANALYSIS: EUROPE

14.4 COMPANY SHARE ANALYSIS: ASIA PACIFIC

14.5 MERGERS & ACQUISITIONS

14.6 NEW PRODUCT DEVELOPMENT AND APPROVALS

14.7 EXPANSIONS

14.8 REGULATORY CHANGES

14.9 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS

15 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, SWOT & DBMR ANALYSIS

16 GLOBAL CALL CENTER ARTIFICIAL INTELLIGENCE (AI) MARKET, COMPANY PROFILE

16.1 VOICEBASE

16.1.1 COMPANY SNAPSHOT

16.1.2 REVENUE ANALYSIS

16.1.3 GEOGRAPHIC PRESENCE

16.1.4 PRODUCT PORTFOLIO

16.1.5 RECENT DEVELOPMENT

16.2 GOOGLE

16.2.1 COMPANY SNAPSHOT

16.2.2 REVENUE ANALYSIS

16.2.3 GEOGRAPHIC PRESENCE

16.2.4 PRODUCT PORTFOLIO

16.2.5 RECENT DEVELOPMENT

16.3 NICE

16.3.1 COMPANY SNAPSHOT

16.3.2 REVENUE ANALYSIS

16.3.3 GEOGRAPHIC PRESENCE

16.3.4 PRODUCT PORTFOLIO

16.3.5 RECENT DEVELOPMENT

16.4 BRIGHT PATTERN, INC

16.4.1 COMPANY SNAPSHOT

16.4.2 REVENUE ANALYSIS

16.4.3 GEOGRAPHIC PRESENCE

16.4.4 PRODUCT PORTFOLIO

16.4.5 RECENT DEVELOPMENT

16.5 ELEVEO

16.5.1 COMPANY SNAPSHOT

16.5.2 REVENUE ANALYSIS

16.5.3 GEOGRAPHIC PRESENCE

16.5.4 PRODUCT PORTFOLIO

16.5.5 RECENT DEVELOPMENT

16.6 CONVOSO

16.6.1 COMPANY SNAPSHOT

16.6.2 REVENUE ANALYSIS

16.6.3 GEOGRAPHIC PRESENCE

16.6.4 PRODUCT PORTFOLIO

16.6.5 RECENT DEVELOPMENT

16.7 DIALPAD, INC

16.7.1 COMPANY SNAPSHOT

16.7.2 REVENUE ANALYSIS

16.7.3 GEOGRAPHIC PRESENCE

16.7.4 PRODUCT PORTFOLIO

16.7.5 RECENT DEVELOPMENT

16.8 VONAGE

16.8.1 COMPANY SNAPSHOT

16.8.2 REVENUE ANALYSIS

16.8.3 GEOGRAPHIC PRESENCE

16.8.4 PRODUCT PORTFOLIO

16.8.5 RECENT DEVELOPMENT

16.9 NETAPP

16.9.1 COMPANY SNAPSHOT

16.9.2 REVENUE ANALYSIS

16.9.3 GEOGRAPHIC PRESENCE

16.9.4 PRODUCT PORTFOLIO

16.9.5 RECENT DEVELOPMENT

16.1 APRO SOFTWARE

16.10.1 COMPANY SNAPSHOT

16.10.2 REVENUE ANALYSIS

16.10.3 GEOGRAPHIC PRESENCE

16.10.4 PRODUCT PORTFOLIO

16.10.5 RECENT DEVELOPMENT

16.11 LIVEVOX, INC

16.11.1 COMPANY SNAPSHOT

16.11.2 REVENUE ANALYSIS

16.11.3 GEOGRAPHIC PRESENCE

16.11.4 PRODUCT PORTFOLIO

16.11.5 RECENT DEVELOPMENT

16.12 AMAZON WEB SERVICES, INC.

16.12.1 COMPANY SNAPSHOT

16.12.2 REVENUE ANALYSIS

16.12.3 GEOGRAPHIC PRESENCE

16.12.4 PRODUCT PORTFOLIO

16.12.5 RECENT DEVELOPMENT

16.13 INTERFACE.AI.

16.13.1 COMPANY SNAPSHOT

16.13.2 REVENUE ANALYSIS

16.13.3 GEOGRAPHIC PRESENCE

16.13.4 PRODUCT PORTFOLIO

16.13.5 RECENT DEVELOPMENT

16.14 MOSAICX

16.14.1 COMPANY SNAPSHOT

16.14.2 REVENUE ANALYSIS

16.14.3 GEOGRAPHIC PRESENCE

16.14.4 PRODUCT PORTFOLIO

16.14.5 RECENT DEVELOPMENT

16.15 IBM

16.15.1 COMPANY SNAPSHOT

16.15.2 REVENUE ANALYSIS

16.15.3 GEOGRAPHIC PRESENCE

16.15.4 PRODUCT PORTFOLIO

16.15.5 RECENT DEVELOPMENT

16.16 MICROSOFT

16.16.1 COMPANY SNAPSHOT

16.16.2 REVENUE ANALYSIS

16.16.3 GEOGRAPHIC PRESENCE

16.16.4 PRODUCT PORTFOLIO

16.16.5 RECENT DEVELOPMENT

16.17 SAP

16.17.1 COMPANY SNAPSHOT

16.17.2 REVENUE ANALYSIS

16.17.3 GEOGRAPHIC PRESENCE

16.17.4 PRODUCT PORTFOLIO

16.17.5 RECENT DEVELOPMENT

16.18 8X8, INC.

16.18.1 COMPANY SNAPSHOT

16.18.2 REVENUE ANALYSIS

16.18.3 GEOGRAPHIC PRESENCE

16.18.4 PRODUCT PORTFOLIO

16.18.5 RECENT DEVELOPMENT

16.19 GENESYS

16.19.1 COMPANY SNAPSHOT

16.19.2 REVENUE ANALYSIS

16.19.3 GEOGRAPHIC PRESENCE

16.19.4 PRODUCT PORTFOLIO

16.19.5 RECENT DEVELOPMENT

16.2 YELLOW.AI

16.20.1 COMPANY SNAPSHOT

16.20.2 REVENUE ANALYSIS

16.20.3 GEOGRAPHIC PRESENCE

16.20.4 PRODUCT PORTFOLIO

16.20.5 RECENT DEVELOPMENT

16.21 GO4CUSTOMER

16.21.1 COMPANY SNAPSHOT

16.21.2 REVENUE ANALYSIS

16.21.3 GEOGRAPHIC PRESENCE

16.21.4 PRODUCT PORTFOLIO

16.21.5 RECENT DEVELOPMENT

16.22 TALKDESK

16.22.1 COMPANY SNAPSHOT

16.22.2 REVENUE ANALYSIS

16.22.3 GEOGRAPHIC PRESENCE

16.22.4 PRODUCT PORTFOLIO

16.22.5 RECENT DEVELOPMENT

16.23 CREATIVE VIRTUAL LTD.

16.23.1 COMPANY SNAPSHOT

16.23.2 REVENUE ANALYSIS

16.23.3 GEOGRAPHIC PRESENCE

16.23.4 PRODUCT PORTFOLIO

16.23.5 RECENT DEVELOPMENT

16.24 NUANCE COMMUNICATIONS, INC.

16.24.1 COMPANY SNAPSHOT

16.24.2 REVENUE ANALYSIS

16.24.3 GEOGRAPHIC PRESENCE

16.24.4 PRODUCT PORTFOLIO

16.24.5 RECENT DEVELOPMENT

NOTE: THE COMPANIES PROFILED IS NOT EXHAUSTIVE LIST AND IS AS PER OUR PREVIOUS CLIENT REQUIREMENT. WE PROFILE MORE THAN 100 COMPANIES IN OUR STUDY AND HENCE THE LIST OF COMPANIES CAN BE MODIFIED OR REPLACED ON REQUEST

17 CONCLUSION

18 QUESTIONNAIRE

19 RELATED REPORTS

20 ABOUT DATA BRIDGE MARKET RESEARCH

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The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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David Manning - Thermo Fisher Scientific Director, Global Strategic Accounts,
Dear Ricky, I want to thank you for the excellent market analysis (LIMS INSTALLED BASE DATA) that you and your team delivered, especially end of year on short notice. Sachin and Shraddha captured the requirements, determined their path forward and executed quickly.
You, Sachin and Shraddha have been a pleasure to work with – very responsive, professional and thorough. Your work is much appreciated.
Manager - Market Analytics, Uriah D. Avila - Zeus Polymer Solutions
Thank you for all the assistance and the level of detail in the market report. We are very pleased with the results and the customization. We would like to continue to do business.
Business Development Manager, (Pharmaceuticals Partner for Nasal Sprays) | Renaissance Lakewood LLC
DBMR was attentive and engaged while discussing the Global Nasal Spray Market. They understood what we were looking for and was able to provide some examples from the report as requested. DBMR Service team has been responsive as needed. Depending on what my colleagues were looking for, I will recommend your services and would be happy to stay connected in case we can utilize your research in the future.
Business Intelligence and Analytics, Ipsen Biopharm Limited

We are impressed by the CENTRAL PRECOCIOUS PUBERTY (CPP) TREATMENT report - so a BIG thanks to you colleagues.

Competition Analyst, Basler Web

I just wanted to share a quick note and let you know that you guys did a really good job. I’m glad I decided to work with you. I shall continue being associated with your company as long as we have market intelligence needs.

Marketing Director, Buhler Group

It was indeed a good experience, would definitely recommend and come back for future prospects.

COO, A global leader providing Drug Delivery Services

DBMR did an outstanding job on the Global Drug Delivery project, We were extremely impressed by the simple but comprehensive presentation of the study and the quality of work done. This report really helped us to access untapped opportunities across the globe.

Marketing Director, Philips Healthcare

The study was customized to our targets and needs with well-defined milestones. We were impressed by the in-depth customization and inclusion of not only major but also minor players across the globe. The DBMR Market position grid helped us to analyze the market in different dimension which was very helpful for the team to get into the minute details.

Product manager, Fujifilms

Thankful to the team for the amazing coordination, and helping me at the last moment with my presentation. It was indeed a comprehensive report that gave us revenue impacting solution enabling us to plan the right move.

Investor relations, GE Healthcare

Thank you for the report, and addressing our needs in such short time. DBMR has outdone themselves in this project with such short timeframe.

Market Analyst, Medincell

We found the results of this study compelling and will help our organization validate a market we are considering to enter. Thank you for a job well done.

Andrew - Senior Global Marketing Manager, Medtronic (US)

I want to thank you for your help with this report – It’s been very helpful in our business planning and it well organized.

Amarildo - Manager, Global Strategic Alignment MasterCard

We believe the work done by Data Bridge Team for our requirements in the North America Loyalty Management Market was fantastic and would love to continue working with your team moving forward.

Tor Hammer Green Nexus LLc

Thank you for your quick response to this unfortunate circumstance. Please extend my thanks to your reach team. I will be contacting you in the future with further projects

Tommaso Finocchiaro Market Intelligence Specialist Nippon Gasses

I acknowledge the difficulty given by the very short warning for this report, and I think that its quality and your delivering time have been very satisfying. Obviously, as a provider Data Bridge Market Research will be considered as a plus for future needs of Nippon Gases.

Yuki Kopyl (Asian Business Development Department) UENO FOOD TECHNO INDUSTRY, LTD. (JAPAN)

Xylose report was very useful for our team. Thank you very much & hope to work with you again in the future