Chatbot Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Description
Chatbot Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Chatbot Market
The Chatbot market size was valued at USD 396.2 million in 2019. The market is projected to grow from USD 1,953.3 million in 2027, exhibiting a CAGR of 22.5% during the forecast period of 2020-2027.
The COVID-19 pandemic negatively impacted the chatbot market in several approaches. Initially, businesses have been greater centred on survival, leading to decreased investments in AI technology. There was also a disruption in supply chains and the availability of professional employees for chatbot improvement. However, over the years, the call for chatbots multiplied, in particular for customer support and healthcare sectors. While the pandemic slowed preliminary growth, it ultimately increased the adoption of AI-powered equipment. Many agencies realized the importance of automating purchaser interactions to cope with multiplied digital engagement and personnel shortages. Thus, the market saw a not on time but regular rise put up-pandemic.
One trend inside the chatbot market is the rise of AI-powered conversational dealers with emotional intelligence. These chatbots are designed to recognize and reply to human emotions, presenting a extra personalized and empathetic interaction. By using herbal language processing (NLP) and sentiment analysis, those chatbots can understand the emotional tone of a communication and regulate their responses as a result. This trend is particularly popular in customer support, healthcare, and mental health packages, wherein customers are trying to find not just facts, however a compassionate and supportive reaction. As AI continues to adapt, emotional intelligence is becoming a key feature in chatbot improvement.
A key driving element behind the boom of the chatbot market is the growing call for 24/7 customer service. Businesses throughout industries understand the need to provide continuous, instant aid to fulfill customer expectancies. Chatbots permit corporations to deliver spherical-the-clock carrier without the need for a large human personnel. This reduces operational charges even as enhancing response times and customer pleasure. Additionally, the ability of chatbots to address ordinary inquiries, leaving complex issues to human sellers, further enhances operational efficiency. As patron reliance on instantaneous verbal exchange grows, the demand for efficient, scalable chatbot solutions continues to rise.
Comprehensive Analysis of Chatbot market
The Chatbot market growth is rising at an exponential rate due to its marketplace segmentation. This market expansion correctly affords a detailed local assessments thinking about the dominant supply and call for forces that effect the enterprise. These segmentations are methodically segregated by component include platform/software development kit and services, by deployment include cloud and on-premises, by application include website, contact centers, social media and mobile application, by industry include banking, financial services and insurance (bfsi), retail and ecommerce, information technology (it) and telecom, media and entertainment, healthcare and others.
The North America location lead the Chatbot market share percentage via benefitting a marketplace size of USD 156.7 million due to the presence of major players.
The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include, Google LLC, IBM Corporation, Microsoft Corporation, SAP SE, Yellow Messenger.
July 2020: Solvvy Inc. Delivered its Conversational Concierge, a subsequent-gen chatbot platform designed for massive organizations. It enables seamless, clever, and highly customizable help throughout a couple of channels. The platform helps businesses deliver on-logo services, enhancing consumer experiences with efficient, automated interactions that meet numerous user wishes even as keeping personalization.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2016-2027
Base Year 2019
Forecast Period 2020-2027
Historical Period 2018
Unit Value (USD million)
Segmentation Component; Deployment; Application; Industry and Region
By Component
Platform/SDK Kit
Services
By Deployment
On-Premises
Cloud
By Application
Website
Contact Centers
Social Media
Mobile Application
By Industry
Banking, Financial Services and Insurance (BFSI)
Retail and ecommerce
Information Technology (IT) and Telecom
Media and Entertainment
Healthcare
Others (Government and Education)
By Region
North America (By Component; Deployment; Application; Industry and Country)
United States (By Application)
Canada (By Application)
Latin America (By Component; Deployment; Application; Industry and Country)
Brazil (By Application)
Mexico (By Application)
Rest of South America
Europe (By Component; Deployment; Application; Industry and Country)
United Kingdom (By Application)
Germany (By Application)
France (By Application)
Italy (By Application)
Spain (By Application)
Rest of Europe
The Middle East & Africa (By Component; Deployment; Application; Industry and Country)
GCC (By Application)
South Africa (By Application)
Rest of the Middle East & Africa
Asia Pacific (By Component; Deployment; Application; Industry and Country)
China (By Application)
Japan (By Application)
India (By Application)
South East Asia (By Application)
Rest of Asia Pacific
Table of Contents
160 Pages
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Key Takeaways
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 3.3. Impact of COVID-19
- 3.3.1. Short-term Impact
- 3.3.2. Long-term Impact
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Porter’s Five Force Analysis
- 4.4. Global Market Share Analysis and Matrix, 2019
- 5. Key Market Insights and Strategic Recommendations
- 6. Profiles of Key Players (Would be provided for 10 players only)
- 6.1. Overview
- 6.1.1. Key Management
- 6.1.2. Headquarters etc.
- 6.2. Offerings/Business Segments
- 6.3. Key Details (Key details are subjected to data availability in public domain and/or on paid databases)
- 6.3.1. Employee Size
- 6.3.2. Key Financials
- 6.3.2.1. Past and Current Revenue
- 6.3.2.2. Gross Margin
- 6.3.2.3. Geographical Share
- 6.3.2.4. Business Segment Share
- 6.4. Recent Developments
- 7. Primary Interview Responses
- 8. Annexure / Appendix
- 8.1. Global Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.1.1. By Component (Value)
- 8.1.1.1. Platform/SDK Kit
- 8.1.1.2. Services
- 8.1.2. By Deployment (Value)
- 8.1.2.1. On-Premises
- 8.1.2.2. Cloud
- 8.1.3. By Application (Value)
- 8.1.3.1. Website
- 8.1.3.2. Contact Centers
- 8.1.3.3. Social Media
- 8.1.3.4. Mobile Application
- 8.1.4. By Industry (Value)
- 8.1.4.1. BFSI
- 8.1.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.1.4.3. Retail and ecommerce
- 8.1.4.4. Information Technology (IT) and Telecom
- 8.1.4.5. Media and Entertainment
- 8.1.4.6. Healthcare
- 8.1.4.7. Others (Government and Education)
- 8.1.5. By Region (Value)
- 8.1.5.1. North America
- 8.1.5.2. Latin America
- 8.1.5.3. Europe
- 8.1.5.4. Middle East & Africa
- 8.1.5.5. Asia Pacific
- 8.2. North America Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.2.1. By Component (Value)
- 8.2.1.1. Platform/SDK Kit
- 8.2.1.2. Services
- 8.2.2. By Deployment (Value)
- 8.2.2.1. On-Premises
- 8.2.2.2. Cloud
- 8.2.3. By Application (Value)
- 8.2.3.1. Website
- 8.2.3.2. Contact Centers
- 8.2.3.3. Social Media
- 8.2.3.4. Mobile Application
- 8.2.4. By Industry (Value)
- 8.2.4.1. BFSI
- 8.2.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.2.4.3. Retail and ecommerce
- 8.2.4.4. Information Technology (IT) and Telecom
- 8.2.4.5. Media and Entertainment
- 8.2.4.6. Healthcare
- 8.2.4.7. Others (Government and Education)
- 8.2.5. By Country (Value)
- 8.2.5.1. United States (By Application)
- 8.2.5.2. Canada (By Application)
- 8.3. Latin America Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.3.1. By Component (Value)
- 8.3.1.1. Platform/SDK Kit
- 8.3.1.2. Services
- 8.3.2. By Deployment (Value)
- 8.3.2.1. On-Premises
- 8.3.2.2. Cloud
- 8.3.3. By Application (Value)
- 8.3.3.1. Website
- 8.3.3.2. Contact Centers
- 8.3.3.3. Social Media
- 8.3.3.4. Mobile Application
- 8.3.4. By Industry (Value)
- 8.3.4.1. BFSI
- 8.3.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.3.4.3. Retail and ecommerce
- 8.3.4.4. Information Technology (IT) and Telecom
- 8.3.4.5. Media and Entertainment
- 8.3.4.6. Healthcare
- 8.3.4.7. Others (Government and Education)
- 8.3.5. By Country (Value)
- 8.3.5.1. Brazil (By Application)
- 8.3.5.2. Mexico (By Application)
- 8.3.5.3. Rest of South America
- 8.4. Europe Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.4.1. By Component (Value)
- 8.4.1.1. Platform/SDK Kit
- 8.4.1.2. Services
- 8.4.2. By Deployment (Value)
- 8.4.2.1. On-Premises
- 8.4.2.2. Cloud
- 8.4.3. By Application (Value)
- 8.4.3.1. Website
- 8.4.3.2. Contact Centers
- 8.4.3.3. Social Media
- 8.4.3.4. Mobile Application
- 8.4.4. By Industry (Value)
- 8.4.4.1. BFSI
- 8.4.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.4.4.3. Retail and ecommerce
- 8.4.4.4. Information Technology (IT) and Telecom
- 8.4.4.5. Media and Entertainment
- 8.4.4.6. Healthcare
- 8.4.4.7. Others (Government and Education)
- 8.4.5. By Country (Value)
- 8.4.5.1. United Kingdom (By Application)
- 8.4.5.2. Germany (By Application)
- 8.4.5.3. France (By Application)
- 8.4.5.4. Italy (By Application)
- 8.4.5.5. Spain (By Application)
- 8.4.5.6. Rest of Europe
- 8.5. Middle East & Africa Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.5.1. By Component (Value)
- 8.5.1.1. Platform/SDK Kit
- 8.5.1.2. Services
- 8.5.2. By Deployment (Value)
- 8.5.2.1. On-Premises
- 8.5.2.2. Cloud
- 8.5.3. By Application (Value)
- 8.5.3.1. Website
- 8.5.3.2. Contact Centers
- 8.5.3.3. Social Media
- 8.5.3.4. Mobile Application
- 8.5.4. By Industry (Value)
- 8.5.4.1. BFSI
- 8.5.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.5.4.3. Retail and ecommerce
- 8.5.4.4. Information Technology (IT) and Telecom
- 8.5.4.5. Media and Entertainment
- 8.5.4.6. Healthcare
- 8.5.4.7. Others (Government and Education)
- 8.5.5. By Country (Value)
- 8.5.5.1. GCC (By Application)
- 8.5.5.2. South Africa (By Application)
- 8.5.5.3. Rest of MEA
- 8.6. Asia Pacific Chatbot Market Size Estimates and Forecasts (Quantitative Data), By Segments, 2016-2027
- 8.6.1. By Component (Value)
- 8.6.1.1. Platform/SDK Kit
- 8.6.1.2. Services
- 8.6.2. By Deployment (Value)
- 8.6.2.1. On-Premises
- 8.6.2.2. Cloud
- 8.6.3. By Application (Value)
- 8.6.3.1. Website
- 8.6.3.2. Contact Centers
- 8.6.3.3. Social Media
- 8.6.3.4. Mobile Application
- 8.6.4. By Industry (Value)
- 8.6.4.1. BFSI
- 8.6.4.2. Banking, Financial Services and Insurance (BFSI)
- 8.6.4.3. Retail and ecommerce
- 8.6.4.4. Information Technology (IT) and Telecom
- 8.6.4.5. Media and Entertainment
- 8.6.4.6. Healthcare
- 8.6.4.7. Others (Government and Education)
- 8.6.5. By Country (Value)
- 8.6.5.1. China (By Application)
- 8.6.5.2. India (By Application)
- 8.6.5.3. Japan (By Application)
- 8.6.5.4. South East Asia (By Application)
- 8.6.5.5. Rest of Asia Pacific
- 9. Companies Mentioned (In order to estimate the market size and/or understanding the market ecosystem) (Note that the purpose of the below list is to highlight the exhaustiveness of coverage. Only top 10 players are profiled in the scope. Additionally, we are open to profile additional company(s) on specific request)
- 9.1. Amazon Web Services, Inc.
- 9.2. Google LLC
- 9.3. IBM Corporation
- 9.4. Microsoft Corporation
- 9.5. SAP SE
- 9.6. BotsCrew.
- 9.7. Cedex Technologies.
- 9.8. Yellow Messenger
- 9.9. Chatbots.Studio.
- 9.10. Softweb Solutions.
- 9.11. SmartBots
- 9.12. Aivo
- 9.13. Aifa.AI
- 9.14. Dogtown Media.
- 9.15. Labiba for Artificial Intelligence LLC
- 9.16. Neoteric.
- 9.17. Peerbits.
- 9.18. Master of Code Global.
- 9.19. Peltarion
- 9.20. Verloop
- 9.21. Crisp IM SARL
- 9.22. LiveChat, Inc.
- 9.23. ManyChat, Inc.
- 9.24. Chatfuel
- 9.25. PandoraBots
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