Conversational Ai Market
PUBLISHED: 2020 ID: SMRC20226
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Conversational Ai Market

Conversational Artificial Intelligence (AI) - Global Market Outlook (2019 -2027)

4.3 (88 reviews)
4.3 (88 reviews)
Published: 2020 ID: SMRC20226

This report covers the impact of COVID-19 on this global market

According to Stratistics MRC, the Global Conversational AI Market is accounted for $3.81 billion in 2019 and is expected to reach $18.37 billion by 2027 growing at a CAGR of 21.7% during the forecast period. Rise in customer engagement through social media platforms, and increasing adoption of AI solutions in customer service applications are the major factors propelling the market growth. However, the lack of awareness about conversational AI solutions is hampering the market growth.

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Conversational AI is the utilization of speech-based assistance, messaging apps, chatbots to make the content to be automated. It also personalizes the user experience at a level. Conversational AI accounts for an important place in the personal assistance activities. It can analyze the open interactions when relating it with the scenario or case. Companies are utilizing AI innovation by using a blend of NLU and ML, which empowers the assistants to be trained with industry-explicit information and extraordinary business information for an increased time to market.

Based on the component, the services segment is going to have a lucrative growth during the forecast period due to the wide adoption of conversational AI solutions across major verticals for offering enhanced customer support, thereby generating demand for professional and managed services across the globe. By geography, Europe is going to have a lucrative growth during the forecast period due to the growing demand to reduce enterprise workloads regarding customer engagement and retention is the key factor in adopting conversational AI solutions in Europe.

Some of the key players profiled in the Conversational AI Market include Google, Kore.AI, Avaamo, Conversica, Haptik, Rasa, Solvvy, Pypestream, Inbenta, Microsoft, AWS, IBM, Oracle, Nuance, Baidu, SAP and Artificial Solutions.

Technologies Covered:
• Automated Speech Recognition (ASR)
• Machine Learning and Deep Learning
• Natural Language Processing (NLP)

Deployment Modes Covered:
• Cloud
• On-Premises

Types Covered:
• Intelligent IVR system         
• Intelligent Virtual Assistants (IVA)         
• Chatbots         

Components Covered:
• Services
• Platform

Organization Sizes Covered:
• Small and Medium-sized Enterprises (SMEs)
• Large Enterprises

Applications Covered:
• Onboarding and Employee Engagement
• Customer Support
• Customer Engagement and Retention
• Branding and Advertisement
• Personal Assistant
• Data Privacy and Compliance
• Other Applications

End Users Covered:
• Media and Entertainment
• IT & Telecommunications
• Retail and E-commerce
• Healthcare and Life Sciences
• Travel and Hospitality
• Banking, Financial Services and Insurance (BFSI)
• Other End Users

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan       
o China       
o India       
o Australia 
o New Zealand
o South Korea
o Rest of Asia Pacific   
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2018, 2019 2020, 2024, and 2027
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements

Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary     
       
2 Preface      

 2.1 Abstract     
 2.2 Stake Holders    
 2.3 Research Scope    
 2.4 Research Methodology   
  2.4.1 Data Mining   
  2.4.2 Data Analysis   
  2.4.3 Data Validation   
  2.4.4 Research Approach   
 2.5 Research Sources    
  2.5.1 Primary Research Sources  
  2.5.2 Secondary Research Sources  
  2.5.3 Assumptions   
       
3 Market Trend Analysis    

 3.1 Introduction    
 3.2 Drivers     
 3.3 Restraints    
 3.4 Opportunities    
 3.5 Threats     
 3.6 Technology Analysis   
 3.7 Application Analysis    
 3.8 End User Analysis    
 3.9 Emerging Markets    
 3.10 Impact of Covid-19    
       
4 Porters Five Force Analysis    
 4.1 Bargaining power of suppliers   
 4.2 Bargaining power of buyers   
 4.3 Threat of substitutes   
 4.4 Threat of new entrants   
 4.5 Competitive rivalry    
       
5 Global Conversational AI Market, By Technology  
 5.1 Introduction    
 5.2 Automated Speech Recognition (ASR)  
 5.3 Machine Learning and Deep Learning  
 5.4 Natural Language Processing (NLP)  
       
6 Global Conversational AI Market, By Deployment Mode 
 6.1 Introduction    
 6.2 Cloud     
 6.3 On-Premises    
       
7 Global Conversational AI Market, By Type  
 7.1 Introduction    
 7.2 Intelligent IVR system             
 7.3 Intelligent Virtual Assistants (IVA)            
 7.4 Chatbots              
       
8 Global Conversational AI Market, By Component  
 8.1 Introduction    
 8.2 Services      
  8.2.1 Support and Maintenance  
  8.2.2 Training and Consulting  
  8.2.3 System Integration and Testing 
 8.3 Platform      
       
9 Global Conversational AI Market, By Organization Size 
 9.1 Introduction    
 9.2 Small and Medium-sized Enterprises (SMEs)  
 9.3 Large Enterprises    
       
10 Global Conversational AI Market, By Application  
 10.1 Introduction    
 10.2 Onboarding and Employee Engagement   
 10.3 Customer Support     
 10.4 Customer Engagement and Retention   
 10.5 Branding and Advertisement   
 10.6 Personal Assistant    
 10.7 Data Privacy and Compliance    
 10.8 Other Applications     
  10.8.1 Campaign Analysis and Data Aggregation 
       
11 Global Conversational AI Market, By End User  
 11.1 Introduction    
 11.2 Media and Entertainment    
 11.3 IT & Telecommunications    
 11.4 Retail and E-commerce    
 11.5 Healthcare and Life Sciences   
 11.6 Travel and Hospitality    
 11.7 Banking, Financial Services and Insurance (BFSI)  
 11.8 Other End Users     
  11.8.1 Energy and Utilities    
  11.8.2 Government    
  11.8.3 Manufacturing   
  11.8.4 Education    
  11.8.5 Automotive    
       
12 Global Conversational AI Market, By Geography  
 12.1 Introduction    
 12.2 North America    
  12.2.1 US    
  12.2.2 Canada    
  12.2.3 Mexico    
 12.3 Europe      
  12.3.1 Germany    
  12.3.2 UK    
  12.3.3 Italy    
  12.3.4 France    
  12.3.5 Spain    
  12.3.6 Rest of Europe   
 12.4 Asia Pacific    
  12.4.1 Japan    
  12.4.2 China    
  12.4.3 India    
  12.4.4 Australia    
  12.4.5 New Zealand   
  12.4.6 South Korea   
  12.4.7 Rest of Asia Pacific   
 12.5 South America    
  12.5.1 Argentina   
  12.5.2 Brazil    
  12.5.3 Chile    
  12.5.4 Rest of South America  
 12.6 Middle East & Africa   
  12.6.1 Saudi Arabia   
  12.6.2 UAE    
  12.6.3 Qatar    
  12.6.4 South Africa   
  12.6.5 Rest of Middle East & Africa  
       
13 Key Developments     
 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
 13.2 Acquisitions & Mergers   
 13.3 New Product Launch   
 13.4 Expansions    
 13.5 Other Key Strategies   
       
14 Company Profiling     
 14.1 Google     
 14.2 Kore.AI     
 14.3 Avaamo     
 14.4 Conversica    
 14.5 Haptik     
 14.6 Rasa     
 14.7 Solvvy     
 14.8 Pypestream    
 14.9 Inbenta     
 14.10 Microsoft     
 14.11 AWS     
 14.12 IBM     
 14.13 Oracle     
 14.14 Nuance     
 14.15 Baidu     
 14.16 SAP     
 14.17 Artificial Solutions     


List of Tables      
1 Global Conversational AI Market Outlook, By Region (2018-2027) ($MN)
2 Global Conversational AI Market Outlook, By Technology (2018-2027) ($MN)
3 Global Conversational AI Market Outlook, By Automated Speech Recognition (ASR) (2018-2027) ($MN)
4 Global Conversational AI Market Outlook, By Machine Learning and Deep Learning (2018-2027) ($MN)
5 Global Conversational AI Market Outlook, By Natural Language Processing (NLP) (2018-2027) ($MN)
6 Global Conversational AI Market Outlook, By Deployment Mode (2018-2027) ($MN)
7 Global Conversational AI Market Outlook, By Cloud (2018-2027) ($MN)
8 Global Conversational AI Market Outlook, By On-Premises (2018-2027) ($MN)
9 Global Conversational AI Market Outlook, By Type (2018-2027) ($MN)
10 Global Conversational AI Market Outlook, By Intelligent IVR system  (2018-2027) ($MN)
11 Global Conversational AI Market Outlook, By Intelligent Virtual Assistants (IVA) (2018-2027) ($MN)
12 Global Conversational AI Market Outlook, By Chatbots (2018-2027) ($MN)
13 Global Conversational AI Market Outlook, By Component (2018-2027) ($MN)
14 Global Conversational AI Market Outlook, By Services  (2018-2027) ($MN)
15 Global Conversational AI Market Outlook, By Support and Maintenance (2018-2027) ($MN)
16 Global Conversational AI Market Outlook, By Training and Consulting (2018-2027) ($MN)
17 Global Conversational AI Market Outlook, By System Integration and Testing (2018-2027) ($MN)
18 Global Conversational AI Market Outlook, By Platform  (2018-2027) ($MN)
19 Global Conversational AI Market Outlook, By Organization Size  (2018-2027) ($MN)
20 Global Conversational AI Market Outlook, By Small and Medium-sized Enterprises (SMEs)  (2018-2027) ($MN)
21 Global Conversational AI Market Outlook, By Large Enterprises (2018-2027) ($MN)
22 Global Conversational AI Market Outlook, By Application  (2018-2027) ($MN)
23 Global Conversational AI Market Outlook, By Onboarding and Employee Engagement  (2018-2027) ($MN)
24 Global Conversational AI Market Outlook, By Customer Support  (2018-2027) ($MN)
25 Global Conversational AI Market Outlook, By Customer Engagement and Retention  (2018-2027) ($MN)
26 Global Conversational AI Market Outlook, By Branding and Advertisement (2018-2027) ($MN)
27 Global Conversational AI Market Outlook, By Personal Assistant (2018-2027) ($MN)
28 Global Conversational AI Market Outlook, By Data Privacy and Compliance  (2018-2027) ($MN)
29 Global Conversational AI Market Outlook, By Other Applications  (2018-2027) ($MN)
30 Global Conversational AI Market Outlook, By Campaign Analysis and Data Aggregation  (2018-2027) ($MN)
31 Global Conversational AI Market Outlook, By End User  (2018-2027) ($MN)
32 Global Conversational AI Market Outlook, By Media and Entertainment  (2018-2027) ($MN)
33 Global Conversational AI Market Outlook, By IT & Telecommunications  (2018-2027) ($MN)
34 Global Conversational AI Market Outlook, By Retail and E-commerce  (2018-2027) ($MN)
35 Global Conversational AI Market Outlook, By Healthcare and Life Sciences (2018-2027) ($MN)
36 Global Conversational AI Market Outlook, By Travel and Hospitality  (2018-2027) ($MN)
37 Global Conversational AI Market Outlook, By Banking, Financial Services and Insurance (BFSI)  (2018-2027) ($MN)
38 Global Conversational AI Market Outlook, By Other End Users  (2018-2027) ($MN)
39 Global Conversational AI Market Outlook, By Energy and Utilities  (2018-2027) ($MN)
40 Global Conversational AI Market Outlook, By Government  (2018-2027) ($MN)
41 Global Conversational AI Market Outlook, By Manufacturing (2018-2027) ($MN)
42 Global Conversational AI Market Outlook, By Education  (2018-2027) ($MN)
43 Global Conversational AI Market Outlook, By Automotive  (2018-2027) ($MN)
       
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Countrys are also represented in the same manner as above.

 

List of Figures

RESEARCH METHODOLOGY


Research Methodology

We at Stratistics opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.

Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.

Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.

Data Mining

The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.

Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.

Data Analysis

From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:

  • Product Lifecycle Analysis
  • Competitor analysis
  • Risk analysis
  • Porters Analysis
  • PESTEL Analysis
  • SWOT Analysis

The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.


Data Validation

The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.

We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.

The data validation involves the primary research from the industry experts belonging to:

  • Leading Companies
  • Suppliers & Distributors
  • Manufacturers
  • Consumers
  • Industry/Strategic Consultants

Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.


For more details about research methodology, kindly write to us at info@strategymrc.com

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