Chatbot Market Size, Share and Segmentation by Component (Solutions, Services), by Type (Rule Based & AI Based), by Application (Customer Service, Customer Engagement & Retention), by Channel Integration, by Business Function (ITSM, Finance), by Regions and Global Market Forecast 2023-2030
Report Id: SNS/ICT/1240 | May 2022 | Region: Global | 125 Pages
Report Scope & Overview:
Chatbot Market Size was valued at USD 31.96 billion in 2022 and is expected to reach USD 329.52 billion by 2030, and grow at a CAGR of 33.86% over the forecast period 2023-2030.
Because of advances in AI technologies such as deep neural networks, machine learning, and others, the use of virtual assistants is on the rise. Chatbots and smart speakers are examples of virtual assistants that are employed in a variety of industries, including retail, BFSI, and healthcare. The banking industry, for example, has been a major adoption of emerging technology, owing to its need on speed, trust, and communication. Chatbots in the banking industry use cognitive analytics to improve communication and establish customer relationships by understanding what customers are thinking and responding instantly.
MARKET DYNAMICS:
KEY DRIVERS:
-
Chatbots are becoming increasingly important in providing customers with round-the-clock service, allowing many sectors to streamline and improve the customer experience they provide at every stage of the process.
-
Various businesses, including banking, retail and eCommerce, government, telecommunications, and travel and hospitality, have changed their priority to quickly handling client inquiries.
-
The ability to respond quickly to consumer inquiries has become a critical component of business success.
RESTRAINTS:
-
When users talk in the future, the new voice prints created may be compared to their previous voice prints to verify their identity.
-
The downside of this strategy is that voiceprints are more general, and hence cannot be validated with the same level of precision as voiceprints made in a single run.
OPPORTUNITIES:
-
Self-learning chatbots are capable of adapting to changing conditions in their operating environment and learning from their actions, experiences, and judgments.
-
These chatbots are clever enough to assess data in a short amount of time and assist customers in finding the specific information they need quickly by providing support in many languages.
CHALLENGES:
-
Lack of understanding and problems associated with management change may have an influence on market growth to some extent.
-
As SMEs become more aware of chatbot solutions, the usage of chatbot solutions is projected to increase in the future years.
IMPACT OF COVID-19:
The worldwide lockdown is expected to cause a minor slowdown in the chatbot industry in 2020. Almost every business has been shaken by the COVID-19 epidemic, which has exacerbated turnover. The lockdown is having a negative influence on global production, supply networks, and logistics, as well as the continuation of operations in numerous industries. Manufacturing, transportation and logistics, and retail and consumer products are the industries with the most problems. The shortage of labour to operate on manufacturing lines, supply networks, and transportation has a negative influence on the availability of vital commodities, despite the fact that critical items are excluded from the lockdown. By early 2021, the disease is projected to be under control, while demand for chatbot solutions and services is likely to rise as companies seek to improve customer experience and develop personalized relationships with prospects. Several industries will use a wide range of chatbot solutions and services to support digital transformation projects that address mission-critical procedures, enhance operations, and distinguish consumer viewing experiences. The use of chatbots is projected to be driven by a decrease in operational expenses, improved customer experiences, resolution of customer concerns, more insight into processes and operations, and improved real-time decision-making.
MARKET ESTIMATION:
Our market research report on the worldwide chatbots market includes a complete market segmentation with important segments examined in depth. On the basis of solution, deployment style, channel integration, organization size, application, business function, and vertical, the chatbots market has been segmented.
KEY PLAYERS:
Some of the key players operating in the chatbot market include IBM (US), Microsoft (US), Google (US), AWS (US), Nuance (US), Oracle (US), Creative Virtual (UK), Artificial Solutions (Spain), Kore.ai (US), Inbenta (US), [24]7.AI (US), Aivo (Argentina) ServiceNow (US), Conversica (US), Personetics (US).
MARKET SEGMENTATION:
By component:
-
Solutions
-
Software
-
Platform
-
-
Services
-
Managed Services
-
Professional Services
-
Consulting
-
System Integration and Implementation
-
Support and Maintenance
-
-
By type:
-
Rule Based
-
AI Based
By deployment mode:
-
On-premises
-
Cloud
By channel integration:
-
Websites
-
Contact Centers
-
Social Media
-
Mobile Applications
By organization size:
-
Large Enterprises
-
Small and Medium-sized Enterprises (SMEs)
By business function:
-
Information Technology Service Management
-
Human Resources
-
Sales and Marketing
-
Finance
By application:
-
Customer Service
-
Personal Assistant
-
Branding and Advertisement
-
Customer Engagement and Retention
-
Data Privacy and Compliance
-
Employee Engagement and On Boarding
-
Payment Processing
-
Others (Churn Analysis, Campaign Management, News Delivery, and Data Aggregation).
By vertical:
-
BFSI
-
IT and Telecom
-
Retail and Ecommerce
-
Healthcare and Life Sciences
-
Transportation and Logistics
-
Government
-
Travel and Hospitality
-
Media and Entertainment
-
Others (Education, Energy and Utilities, and Manufacturing)
.jpg)
REGIONAL ANALYSIS:
Because North America is a key location for chatbot startups, it held the greatest market share of 48.6% in 2021. Following that comes Asia Pacific, which is a key centre for the services industry. Chatbots are rapidly being used in normal customer support operations by several big companies. Chatbots' high development potential in many countries may be ascribed to the enormous benefits that they provide to businesses, such as lower operating costs, greater customer happiness, and increased operational efficiency.
The high growth possibilities for the market may be attributable to the various benefits it provides, such as lower operating costs for businesses, improved customer satisfaction, and increased operational efficiency. The North American area accounts for the largest share of the market since it is home to the largest number of chatbot companies and the bulk of chatbot installations. The Asia Pacific area is followed by North America, which serves as a significant service industry hub. Many multinational companies are progressively using chatbots into their daily customer care operations.
REGIONAL COVERAGE:
-
North America
-
USA
-
Canada
-
Mexico
-
-
Europe
-
Germany
-
UK
-
France
-
Italy
-
Spain
-
The Netherlands
-
Rest of Europe
-
-
Asia-Pacific
-
Japan
-
south Korea
-
China
-
India
-
Australia
-
Rest of Asia-Pacific
-
-
The Middle East & Africa
-
Israel
-
UAE
-
South Africa
-
Rest of Middle East & Africa
-
-
Latin America
-
Brazil
-
Argentina
-
Rest of Latin America
-
| Report Attributes | Details |
| Market Size in 2022 | USD 31.96 Bn |
| Market Size by 2030 | USD 329.52 Bn |
| CAGR | CAGR of 33.86% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • by Component (Solutions, Services) • by Type (Rule Based & AI Based) • by Application (Customer Service, Customer Engagement & Retention) • by Channel Integration (Websites, Contact Centers, Social Media, Mobile Applications) • by Business Function (ITSM, Finance) |
| Regional Analysis/Coverage | North America (USA, Canada, Mexico), Europe (Germany, UK, France, Italy, Spain, Netherlands, Rest of Europe), Asia-Pacific (Japan, South Korea, China, India, Australia, Rest of Asia-Pacific), The Middle East & Africa (Israel, UAE, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | IBM, Microsoft, Google, AWS, Nuance, Oracle, Creative Virtual, Artificial Solutions, Kore.ai, Inbenta, [24]7.AI , Aivo, ServiceNow, Conversica, Personetics. |
| Key Drivers | • Various businesses, including banking, retail and eCommerce, government, telecommunications, and travel and hospitality, have changed their priority to quickly handling client inquiries. |
| Market Opportunities | • Self-learning chatbots are capable of adapting to changing conditions in their operating environment and learning from their actions, experiences, and judgments. |
Frequently Asked Questions (FAQ) :
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.1 Introduction
4.3.2 Impact on major economies
4.3.2.1 US
4.3.2.2 Canada
4.3.2.3 Germany
4.3.2.4 France
4.3.2.5 United Kingdom
4.3.2.6 China
4.3.2.7 Japan
4.3.2.8 South Korea
4.3.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Global Chatbot Market Segmentation, by component type
8.1 Solutions
8.1.1 Software
8.1.2 Platform
8.2 Services
8.2.1 Managed Services
8.2.2 Professional Services
8.2.2.1 Consulting
8.2.2.2 System Integration and Implementation
9. Global Chatbot Market Segmentation, by Type
9.1 Rule Based
9.2 AI Based
10. Global Chatbot Market Segmentation, by Deployment mode
10.1 On-premises
10.2 Cloud
11. Global Chatbot Market Segmentation, by Channel integration
11.1 Websites
11.2 Contact Centers
11.3 Social Media
11.4 Mobile Applications
12. Global Chatbot Market Segmentation, by Organization size
12.1 Large Enterprises
12.2 Small and Medium-sized Enterprises (SMEs)
13. Global Chatbot Market Segmentation, by Business function
13.1 Information Technology Service Management
13.2 Human Resources
13.3 Sales and Marketing
13.4 Finance
14. Global Chatbot Market Segmentation, by Application
14.1 Customer Service
14.2 Personal Assistant
14.3 Branding and Advertisement
14.4 Customer Engagement and Retention
14.5 Data Privacy and Compliance
14.6 Employee Engagement and On-Boarding
14.7 Payment Processing
14.8 Others (Churn Analysis, Campaign Management, News Delivery, and Data Aggregation)
15. Global Chatbot Market Segmentation, by Verticals
15.1 BFSI
15.2 IT and Telecom
15.3 Retail and Ecommerce
15.4 Healthcare and Life Sciences
15.5 Transportation and Logistics
15.6 Government
15.7 Travel and Hospitality
15.8 Media and Entertainment
15.9 Others (Education, Energy and Utilities, and Manufacturing)
16. Regional Analysis
16.1 Introduction
16.2 North America
16.2.1 USA
16.2.2 Canada
16.2.3 Mexico
16.3 Europe
16.3.1 Germany
16.3.2 UK
16.3.3 France
16.3.4 Italy
16.3.5 Spain
16.3.6 The Netherlands
16.3.7 Rest of Europe
16.4 Asia-Pacific
16.4.1 Japan
16.4.2 South Korea
16.4.3 China
16.4.4 India
16.4.5 Australia
16.4.6 Rest of Asia-Pacific
16.5 The Middle East & Africa
16.5.1 Israel
16.5.2 UAE
16.5.3 South Africa
16.5.4 Rest
16.6 Latin America
16.6.1 Brazil
16.6.2 Argentina
16.6.3 Rest of Latin America
17. Company Profiles
17.1 IBM (US)
17.1.1 Financial
17.1.2 Products/ Services Offered
17.1.3 SWOT Analysis
17.1.4 The SNS view
17.2 Microsoft (US)
17.3 Google (US)
17.4 AWS (US)
17.5 Nuance (US)
17.6 Oracle (US)
17.7 Creative Virtual (UK)
17.8 Artificial Solutions (Spain)
17.9 Kore.ai (US)
17.10 Inbenta (US)
17.11 [24]7.AI (US)
17.16 Aivo (Argentina)
17.17 ServiceNow (US
17.14 Conversica (US)
17.14 Personetics (US)
18. Competitive Landscape
18.1 Competitive Benchmarking
18.2 Market Share analysis
18.3 Recent Developments
19. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
