+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Asia-Pacific Chatbot Market Outlook, 2028

  • PDF Icon

    Report

  • 103 Pages
  • September 2023
  • Region: Asia Pacific
  • Bonafide Research
  • ID: 5887373
10% Free customization
1h Free Analyst Time
10% Free customization

This report comes with 10% free customization, enabling you to add data that meets your specific business needs.

1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

The Asia-Pacific chatbot market is predicted to be one of the world's fastest-growing. It is being driven by the increased deployment of AI and chatbot technologies across multiple sectors. In recent years, the market has grown significantly year over year, with no indications of stopping. In the Asia-Pacific area, chatbots are being used in a variety of industry verticals. Finance and banking, healthcare, e-commerce, customer service, travel and hospitality, and government services are among them. Chatbots have specific applications in each field, ranging from virtual banking assistants to healthcare diagnostics and appointment scheduling. The Asia-Pacific region is noted for its cultural and linguistic variety. Chatbots in this industry frequently support many languages and are culturally sensitive, ensuring inclusivity and relevance to diverse user bases. Chatbots are increasingly being linked with advanced technologies such as artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) in the Asia-Pacific region. These technologies allow chatbots to better grasp user intent and give more contextually relevant responses. The Asia-Pacific region is mostly a mobile-first market. Chatbots are mobile-friendly, and they frequently use messaging apps like WhatsApp, WeChat, and LINE, which are popular for both personal and professional communication. Chatbots play an important part in the e-commerce and retail sectors, assisting with order tracking and ensuring seamless online shopping experiences. In the APAC area, customer service is a primary emphasis. Chatbots are increasingly being utilized to handle regular customer inquiries, provide 24/7 support, and reduce response times, resulting in improved levels of customer satisfaction. Chatbots are used by governments around the APAC area to provide citizens with information about public services, COVID-19 updates, and administrative support, hence improving access to government resources. Chatbots are becoming increasingly popular in the financial sector, assisting customers with account queries, fund transfers, investment counselling, and financial planning, thereby promoting financial inclusion.

According to the research report, “Asia-Pacific Chatbot Market Outlook, 2028” the market is projected to grow at over 25% CAGR from 2023 to 2028. In countries such as China, India, Singapore, and South Korea, the Asia-Pacific area is home to innovation hubs and tech ecosystems. These hubs encourage experimentation and creativity in the creation of cutting-edge chatbot solutions. Chatbots make cross-border e-commerce easier by removing linguistic and cultural obstacles. They make it easier for enterprises to interact with customers and clients from other nations, encouraging international trade and commerce. Chatbots are employed to help commuters navigate big city public transit networks. They improve urban mobility by providing real-time transportation information, routes, and ticketing assistance. Chatbots improve the tourism experience by informing visitors about local attractions, historical sites, restaurants, and cultural events. They can also help with travel arrangements and itinerary planning. Chatbots in rural areas provide farmers with vital information about crop management, weather forecasts, pest control, and agricultural best practices, assisting in increasing crop yields and sustainability. Machine learning algorithms have been implemented into chatbots to enable continuous learning and adaptation. This technology enables chatbots to enhance their functionality over time by evaluating user interactions and data. Voice-based chatbots have grown in popularity in the APAC market. Voice recognition and speech synthesis advances have enabled chatbots to interact with users in a variety of languages and accents. Chatbots are being connected with blockchain technology in some industries, such as finance and healthcare, to assure data integrity and security. Blockchain delivers a transparent and tamper-resistant record of interactions.

Based on the report market is divided into five major countries China, Japan, India, Australia and South Korea. Among them India is predicted to lead the market of Asia-Pacific chatbot market.

The India chatbot market has grown into a thriving and ever-expanding ecosystem inside the country's technology sector. In recent years, India has experienced a significant surge in the use and development of chatbots, owing to increased company digitization, expanding smartphone penetration, and the demand for effective customer care solutions. This thriving industry is defined by a diverse spectrum of applications, ranging from e-commerce and customer service to healthcare and banking, proving chatbot technology's versatility and adaptability. India, with its big and diverse population, presents a unique challenge and potential for chatbot developers to cater to a diverse range of languages, nationalities, and tastes. The India chatbot is becoming more popular as the Indian economy grows and businesses rely more on technology for scalability and client connection. The Indian chatbot market is poised for continued growth and innovation, making it a fascinating and pivotal sector to watch in the ever-evolving world of artificial intelligence and automation. In India, chatbots have been integrated into customer service operations, most notably in the e-commerce and banking sectors. These chatbots respond rapidly to frequently asked questions, troubleshoot issues, and guide clients through various processes, reducing response times and enhancing customer satisfaction. As voice assistants and smart speakers become increasingly popular, businesses in India are deploying speech-activated chatbots. These chatbots can understand and respond to spoken language, enhancing the user experience. Chatbots are being used to automate routine internal firm activities as well as client support. This includes HR-related questions, IT support, and even employee onboarding processes, freeing up human resources to focus on more strategic activities. In the e-commerce industry, virtual shopping assistants are becoming increasingly popular.

Based on offering market is segmented into solutions, services, training and consulting, system integration and implementation and support and maintenance. Among them solutions offering is expected to dominate the market of Asia-Pacific chatbot market.

The Asia-Pacific area is heterogeneous, with varying linguistic preferences, cultural nuances, and industry-specific requirements. Businesses can customize chatbots to their individual needs, ensuring that chatbots can adapt to the distinct demands of different markets and industries in the region. Businesses in the Asia-Pacific area operate in a variety of industries, ranging from finance and healthcare to e-commerce and government. Offering solutions enables chatbot providers to create specialized chatbots with industry-specific skills. These chatbots are tailored to each industry's unique difficulties and opportunities, making them more valuable to enterprises. The Asia-Pacific chatbot industry is dynamic, with changing consumer tastes and expectations. Providers of solutions are devoted to continuous improvement, updating chatbots depending on user input, developing technologies, and changing industry standards, ensuring that chatbots remain effective and relevant. The solutions offered enable chatbot providers to create chatbots with enhanced features and capabilities. This includes capabilities like speech recognition, sentiment analysis, recommendation engines, and deep learning algorithms, which make chatbots more adaptable and beneficial to organizations. Advanced chatbots generated through solution offerings can collect and analyze user data. This data can be utilized to obtain significant insights into user behavior, preferences, and pain spots, allowing organizations to make informed decisions and optimize their strategy.

Based on type market is segmented into menu based, linguistic-based, keyword recognition based, contextual, hybrid and voicebots. Menu based type is predicted to dominate the market of Asia-Pacific.

Chatbots with menus provide a systematic and user-friendly approach to conversations. Menu-based chatbots provide an easy and intuitive way for consumers to connect with technology in a region noted for its linguistic diversity, where users have differing levels of experience with text or voice communication in different languages. These chatbots minimize the need for users to type or speak difficult queries by presenting them with a predefined menu of options, frequently complemented by visual hints. This accessibility ensures that users of various languages and ages may easily navigate and use chatbot services. Menu-based chatbots excel in circumstances requiring clarity and precision. Menu-based chatbots can give standardized responses and ensure that consumers receive valid information regularly in industries such as finance, healthcare, and government services, where accurate information and adherence to regulatory rules are critical. This is especially important in a location where trust and reliability are important elements in user adoption. Menu-based chatbots are ideal for businesses requiring organized and transactional interactions, such as e-commerce, banking, and customer service. They can walk users through a sequence of steps to complete tasks such as purchasing something, checking an account balance, or scheduling an appointment.

Based on bot communication market is divided into text, audio/voice and video. Furthermore based on vertical market is majorly divided into retail & e-commerce, IT & telecommunication, travel & tourism, BFSI, healthcare, media and entertainment and others (manufacturing, construction and real estate, education, government and defense, energy and utilities and automotive)

The Asia-Pacific is region with linguistic diversity is astounding, with different languages and dialects spoken across countries. Text-based chatbots can easily converse in several languages, making them well-suited to cater to the region's linguistic variety. Users can interact with chatbots in the language of their choice, increasing accessibility. Text-based chatbots are extremely user-friendly, even for people with disabilities. They can be integrated with screen readers and other assistive technologies, allowing those who are blind or deaf to utilize chatbot services efficiently. This dedication to inclusiveness is consistent with the region's emphasis on various user demands. In the Asia-Pacific region, text-based communication is a common and widely accepted way of engaging. Users are accustomed to texting, making the adoption of text-based chatbots a smooth transition for both businesses and consumers. The short learning curve promotes widespread adoption. Text-based chatbots can effectively engage consumers with tailored dialogues. They can analyze user inputs and deliver personalized responses, product recommendations, and pertinent information, thereby increasing user engagement and happiness. Text-based chatbots can be easily integrated across various communication channels, including websites, mobile apps, and messaging platforms like WhatsApp, WeChat, and LINE. This seamless integration enhances user convenience and allows businesses to reach users on their preferred platforms. Chatbots are available 24/7, allowing passengers to seek information, make reservations, and receive support at any time, regardless of time zones or operation hours. This round-the-clock accessibility meets the demands of travelers who may be planning or experiencing their journeys outside of usual work hours. Travelers frequently want prompt responses to their inquiries, particularly when making last-minute reservations or coping with unanticipated changes in travel arrangements. Chatbots can provide rapid responses, lowering response times and improving the entire travel experience. Chatbots simplify the booking of flights, hotels, transportation, and activities. They walk passengers through the booking process, providing recommendations, pricing data, and availability information to help consumers plan their travels.

Companies Covered in this report:

The International Business Machines Corporation, Microsoft Corporation, Google LLC, Amazon.com, Inc, Salesforce, Inc., Oracle Corporation, Kore.ai, [24]7.ai, Inc., eGain Corporation, Genesys Telecommunications Laboratories, Inc., Zendesk, Inc., Creative Virtual Ltd, Kevit Technologies Private Limited, Accenture plc, Contus Tech Private Limited.

Considered in this report:

  • Geography: Asia-Pacific
  • Historic year: 2017
  • Base year: 2022
  • Estimated year: 2023
  • Forecast year: 2028

Aspects covered in this report:

  • Asia-Pacific Chatbot market Outlook with its value and forecast along with its segments
  • Country-wise Chatbot market analysis
  • Various drivers and challenges
  • On-going trends and developments
  • Top profiled companies
  • Strategic recommendation

Country covered in the report:

  • China
  • Japan
  • India
  • Australia
  • South Korea

By Offering:

  • Solutions
  • Services
  • Training and Consulting
  • System Integration and Implementation
  • Support and Maintenance

By Type:

  • Menu based
  • Linguistic- based
  • Keyword Recognition based
  • Contextual
  • Hybrid
  • Voicebots

By Bot Communication:

  • Text
  • Audio/Voice
  • Video

By Vertical:

  • Retail & E-Commerce
  • IT & Telecommunication
  • Travel & Tourism
  • BFSI
  • Healthcare
  • Media and Entertainment
  • Others (manufacturing, construction and real estate, education, government and defense, energy and utilities and automotive)

The approach of the report:

This report consists of a combined approach of primary and secondary research. Initially, secondary research was used to get an understanding of the market and list the companies that are present in it. The secondary research consists of third-party sources such as press releases, annual reports of companies, and government-generated reports and databases. After gathering the data from secondary sources, primary research was conducted by conducting telephone interviews with the leading players about how the market is functioning and then conducting trade calls with dealers and distributors of the market. Post this; we have started making primary calls to consumers by equally segmenting them in regional aspects, tier aspects, age group, and gender. Once we have primary data with us, we can start verifying the details obtained from secondary sources.

Intended audience:

This report can be useful to industry consultants, manufacturers, suppliers, associations, and organisations related to the Chatbot industry, government bodies, and other stakeholders to align their market-centric strategies. In addition to marketing and presentations, it will also increase competitive knowledge about the industry.

Table of Contents

1. Executive Summary
2. Research Methodology
2.1. Secondary Research
2.2. Primary Data Collection
2.3. Market Formation & Validation
2.4. Report Writing, Quality Check & Delivery
3. Market Structure
3.1. Market Considerate
3.2. Assumptions
3.3. Limitations
3.4. Abbreviations
3.5. Sources
3.6. Definitions
4. Economic /Demographic Snapshot
5. Global Chatbot Market Outlook
5.1. Market Size By Value
5.2. Market Share By Region
5.3. Market Size and Forecast, By Offering
5.4. Market Size and Forecast, By Type
5.5. Market Size and Forecast, By Bot Communication
5.6. Market Size and Forecast, By Vertical
5.7. Market Size and Forecast, By Channel Integration
6. Asia-Pacific Chatbot Market Outlook
6.1. Market Size By Value
6.2. Market Share By Country
6.3. Market Size and Forecast, By Offering
6.4. Market Size and Forecast, By Type
6.5. Market Size and Forecast, By Bot Communication
6.6. Market Size and Forecast, By Vertical
7. Market Dynamics
7.1. Market Drivers & Opportunities
7.2. Market Restraints & Challenges
7.3. Market Trends
7.4. Covid-19 Effect
7.5. Supply chain Analysis
7.6. Policy & Regulatory Framework
7.7. Industry Experts Views
7.8. China Chatbot Market Outlook
7.8.1. Market Size By Value
7.8.2. Market Size and Forecast By Offering
7.8.3. Market Size and Forecast By Type
7.8.4. Market Size and Forecast By Bot Communication
7.9. Japan Chatbot Market Outlook
7.9.1. Market Size By Value
7.9.2. Market Size and Forecast By Offering
7.9.3. Market Size and Forecast By Type
7.9.4. Market Size and Forecast By Bot Communication
7.10. India Chatbot Market Outlook
7.10.1. Market Size By Value
7.10.2. Market Size and Forecast By Offering
7.10.3. Market Size and Forecast By Type
7.10.4. Market Size and Forecast By Bot Communication
7.11. Australia Chatbot Market Outlook
7.11.1. Market Size By Value
7.11.2. Market Size and Forecast By Offering
7.11.3. Market Size and Forecast By Type
7.11.4. Market Size and Forecast By Bot Communication
7.12. South Korea Chatbot Market Outlook
7.12.1. Market Size By Value
7.12.2. Market Size and Forecast By Offering
7.12.3. Market Size and Forecast By Type
7.12.4. Market Size and Forecast By Bot Communication
8. Competitive Landscape
8.1. Competitive Dashboard
8.2. Business Strategies Adopted by Key Players
8.3. Key Players Market Positioning Matrix
8.4. Porter's Five Forces
8.5. Company Profile
8.5.1. The International Business Machines Corporation
8.5.1.1. Company Snapshot
8.5.1.2. Company Overview
8.5.1.3. Financial Highlights
8.5.1.4. Geographic Insights
8.5.1.5. Business Segment & Performance
8.5.1.6. Product Portfolio
8.5.1.7. Key Executives
8.5.1.8. Strategic Moves & Developments
8.5.2. Microsoft Corporation
8.5.3. Google LLC
8.5.4. Amazon.com, Inc
8.5.5. Salesforce, Inc.
8.5.6. Oracle Corporation
8.5.7. Kore.ai
8.5.8. [24]7.ai, Inc.
8.5.9. eGain Corporation
8.5.10. Genesys Telecommunications Laboratories, Inc.
8.5.11. Zendesk, Inc.
8.5.12. Creative Virtual Ltd
8.5.13. Kevit Technologies Private Limited
8.5.14. Accenture plc
8.5.15. Contus Tech Private Limited
9. Strategic Recommendations
10. Annexure
10.1. FAQ`s
10.2. Notes
10.3. Related Reports
11. Disclaimer
List of Figures
Figure 1: Global Chatbot Market Size (USD Billion) By Region, 2022 & 2028
Figure 2: Market attractiveness Index, By Region 2028
Figure 3: Market attractiveness Index, By Segment 2028
Figure 4: Global Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 5: Global Chatbot Market Share By Region (2022)
Figure 6: Asia-Pacific Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 7: Asia-Pacific Chatbot Market Share By Country (2022)
Figure 8: China Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 9: Japan Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 10: India Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 11: Australia Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 12: South Korea Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 13: Competitive Dashboard of top 5 players, 2022
Figure 14: Porter's Five Forces of Global Chatbot Market
List of Tables
Table 1: Global Chatbot Market Snapshot, By Segmentation (2022 & 2028) (in USD Billion)
Table 2: Top 10 Counties Economic Snapshot 2020
Table 3: Economic Snapshot of Other Prominent Countries 2020
Table 4: Average Exchange Rates for Converting Foreign Currencies into U.S. Dollars
Table 5: Global Chatbot Market Size and Forecast, By Offering (2017 to 2028F) (In USD Billion)
Table 6: Global Chatbot Market Size and Forecast, By Type (2017 to 2028F) (In USD Billion)
Table 7: Global Chatbot Market Size and Forecast, By Bot Communication (2017 to 2028F) (In USD Billion)
Table 8: Global Chatbot Market Size and Forecast, By Vertical (2017 to 2028F) (In USD Billion)
Table 9: Global Chatbot Market Size and Forecast, By Channel Integration (2017 to 2028F) (In USD Billion)
Table 10: Asia-Pacific Chatbot Market Size and Forecast, By Offering (2017 to 2028F) (In USD Billion)
Table 11: Asia-Pacific Chatbot Market Size and Forecast, By Type (2017 to 2028F) (In USD Billion)
Table 12: Asia-Pacific Chatbot Market Size and Forecast, By Bot Communication (2017 to 2028F) (In USD Billion)
Table 13: Asia-Pacific Chatbot Market Size and Forecast, By Vertical (2017 to 2028F) (In USD Billion)
Table 14: Influencing Factors for Chatbot Market, 2022
Table 15: China Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 16: China Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 17: China Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 18: Japan Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 19: Japan Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 20: Japan Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 21: India Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 22: India Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 23: India Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 24: Australia Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 25: Australia Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 26: Australia Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 27: South Korea Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 28: South Korea Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 29: South Korea Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)