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Chatbot Market Outlook (2023 to 2033)

The chatbot market is anticipated to have a prodigious CAGR of 21.6% from 2023 to 2033. The chatbot market is predicted to grow from US$ 696.4 million in 2023 to US$ 4.9 billion in 2033.

Customer service at a lower cost of operation and a greater emphasis on customer involvement through numerous channels are all contributing to attractive market potential.

Factors driving the demand for chatbot market, giving businesses a competitive advantage

  • The demand for 24/7 customer service at a lower cost of operation
  • Increased focus on customer engagement through various channels
  • Technological advancements combined with rising customer demand for self-service operations

Chatbots and smart speakers are examples of virtual assistants employed in various industries, including retail, healthcare, and BFSI.

Attributes Details
Market CAGR (2023 to 2033) 21.6%
Market HCAGR (2018 to 2022) 19.5%
Market Size - 2023 US$ 696.4 million
Market Size - 2033 US$ 4.9 billion

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Historical Comparison of Chatbot Market between 2018 to 2022 and 2023 to 2033

Chatbots were mostly rule-based or simple FAQ-oriented systems from 2018 to 2022. They supplied basic information and answered clear questions. However, limitations in their verbal ability were clear, as they struggled with sophisticated relationships and grasping context. Nonetheless, corporations recognized the value of chatbots and invested in their development and deployment.

The chatbot industry is predicted to grow significantly between 2023 and 2033. Chatbots are projected to become increasingly intelligent, flexible, and capable of handling complex discussions as AI technology advances. They may use powerful NLP algorithms, deep learning models, and contextual awareness to create more personalized and human-like experiences.

Chatbots are expected to grow beyond typical customer support applications. They may be critical in virtual assistants, healthcare diagnostics, language translation, and even as companions in a variety of industries. Chatbots may become more smoothly integrated with other developing technologies such as augmented reality (AR) and virtual reality (VR) as technology advances, providing greater user experiences.

Ethical and privacy problems in chatbot usage are predicted to gain significance. Regulations and guidelines may be put in place to enable ethical and transparent chatbot deployments, as well as to protect user data and preserve confidentiality.

Comparative View of the Adjacent Chatbot Industry

Chatbot Market:

Attributes Chatbot Market
CAGR (From 2023 to 2033) 21.6%
Market Value (2023) US$ 696.4 million
Growth Factor Application in multiple businesses can lead to greater demand.
Opportunity Concentrating on the integration of reinforcement learning technologies has greater potential.
Key Trends Emerging human-like and natural communication with data-driven technology.

Intelligent Virtual Assistant Market:

Attributes Intelligent Virtual Assistant Market
CAGR (From 2023 to 2033) 38.82%
Market Value (2023) US$ 17.72 billion
Growth Factor Adoption of the smart home system leads to higher revenue.
Opportunity Chatbots are being used in several economies to provide continuous customer care.
Key Trends Deep learning, natural language processing, and neural networks are being used to develop the ability to learn on their own.

Conversational AI Market:

Attributes Conversational AI Market
CAGR (From 2023 to 2033) 21.8%
Market Value (2023) US$ 10.18 billion
Growth Factor Increasing focus on customer engagement propelling the demand for AI systems.
Opportunity Companies are expanding their product offers, creating new market opportunities.
Key Trends Organizations are aiming for higher productivity improvements with less manpower by adopting automation.
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What is Prompting the Growth of the Chatbot Market?

Chatbots are becoming more significant in providing round-the-clock assistance to clients. Allowing various industries to streamline and improve the customer experience at every process level.

Its application in various businesses has changed its priority to quickly handling client inquiries, which leads to an expansion in demand for chatbots. This includes finance, telecommunications, retail and eCommerce, travel and hospitality, and government.

Quickly responding to customer inquiries has become a critical component of business success. As a result, businesses view the chatbot as a powerful conversational interface for effectively engaging customers and creating a dynamic and rich user experience environment.

What Limits the Chatbot Market?

When users talk in the future, the new voice prints generated can be compared to their previous voice prints to verify their identity. Its disadvantage is that voiceprints are more generic and hence cannot be validated with the same level of accuracy as voiceprints made in a single run. Hampering the growth of the chatbot industry.

The second method is to record a single phrase or word as a voiceprint and save it for each voiceprint. Third parties, on the other hand, can record authentication attempts and replay them to get access using this method.

These are two existing voice authentication techniques that require additional characteristics to be useful as a stand-alone means of user authentication. However, as SMEs become more aware of chatbot solutions, the usage of chatbot solutions is projected to increase in the future years.

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What are the Trends in the Chatbot Market?

In the next few years, instead of general intelligence, corporations may concentrate on integrating reinforcement learning technologies. Together with the growing requirement to give personalized experiences, these initiatives are projected to drive demand for self-learning chatbots.

These programs and others aimed at developing advanced chatbots that can intelligently respond to user questions are still in the research phase. Self-learning chatbots with data-driven behavior are powered by NLP technology and self-learning capabilities and can provide more human-like and natural communication. They also learn from their own mistakes.

For example, Facebook data scientists and Stanford University academics have created cooperation to develop self-learning chatbots, focusing on the integration of reinforcement learning technology rather than general intelligence. To avoid circumstances in which technology fails.

Lack of awareness and problems associated with management change may have an impact on chatbot market growth to some extent. Issues with successful implementation and a lack of understanding of the benefits given by AI-powered chatbot solutions may hinder their acceptance in developing regions such as Latin America and Africa. Though chatbot solutions are becoming more popular in a variety of industries.

Segmentation Outlook

Segment Platform
Segment Name Mobile Based
Segment Share 56.7%
Segment Enterprises Size
Segment Name Large Enterprises
Segment Share 61.5%

Which Platform is Leading the Chatbot Business?

By platform, Mobile is the leading segment with an anticipated CAGR during the forecast period. The mobile category is leading, as various mobile applications that use AI for chatbots or image analysis are becoming increasingly popular among mobile users. It contributes to a larger market share for chatbots, with an expected CAGR of 24.1% during the forecast period.

Consider Babylon, a popular AI-powered mobile app that allows users to employ an intelligent chatbot. To help and relate symptoms while also connecting with a suitable doctor via video chat.

Which Enterprise is leading the Chatbot Market?

Large enterprises are likely to boost their demand for chatbots during the forecast period. Large enterprises are rapidly adopting chatbot solutions and services, and this trend is expected to continue during the forecast period. As a result, large enterprises are expected to have a prodigious CAGR of 21%.

To boost their total revenue and efficiency, large enterprises are heavily investing in modern technologies. The rising demand for chatbots in the retail and eCommerce industries can be linked to various benefits of chatbots. Such as continuous customer service and decreased marketing expenditures, which boost market revenue.

Regional Outlook

Countries Market Share
North America 29.3%
Europe 24.3%

During the forecast period, North America is expected to have a leading market size of US$ 2.8 billion. During the projected period, Asia Pacific is anticipated to grow expeditiously. The countries in the Asia Pacific are technologically advanced and provide promising investment and income opportunities.

The expansion of the chatbot market in the Asia Pacific is likely to be aided by factors such as flexible economic conditions and government policies. As it can promote industrialization and globalization, and digitization. Numerous startups in the Asia Pacific area are investing in chatbots and machine learning technology.

Small and mid-sized organizations are rapidly incorporating chatbots into their customer service procedures and resulting in perfect performance. Moreover, the ability to handle a high consumer queue and improved client engagement tactics.

The chatbot market is likely to increase further in the region as the top economies, including China and India. Quickly build their information and communications technology infrastructures. The region's large population and rapid smartphone penetration are creating a high-potential consumer pool for chatbots. Particularly for applications like personal help.

Chatbot adoption is increasing steadily in Latin America. The region's key markets are Brazil, Mexico, and Argentina. Chatbots have been used extensively in the e-commerce industry, particularly for customer service and order processing. Language diversity and cultural nuances provide hurdles, but advances in language processing technologies are propelling the market growth.

Chatbot technologies are gaining popularity in the Middle East and Africa. Leading adopters include the United Arab Emirates, Saudi Arabia, and South Africa. Chatbots are used in industries such as banking, telecommunications, and healthcare to provide multilingual support and automate repetitive operations to improve client experiences.

Countries Market Share
United States 20.4%
Germany 10.1%
Japan 8.2%
Australia 2.9%
Countries Market CAGR
China 24.3%
India 22.5%
United Kingdom 23.2%

How Competition Influences the Chatbot Market?

Due to the enormous increase in competitors in the chatbot business, the industry is getting quite competitive. The chatbot industry is highly consolidated, with key firms employing techniques such as product innovation to stay ahead of the pack. As a result, many businesses are aggressively seeking out strategic mergers and acquisitions to expand their market dominance.

Continuous technical improvements promote competition in the chatbot business. Chatbots with advanced capabilities, such as improved natural language processing, sentiment analysis, machine learning algorithms, and context awareness, are being developed by companies. Gaining a competitive advantage also requires innovation in areas such as voice recognition, deep learning, and emotional intelligence.

The competition includes industry-specific chatbot solutions. Providers concentrate on producing chatbots that are targeted to the specific needs of various industries. Such as healthcare, banking, retail, hospitality, and customer service. Differentiating chatbot products need industry-specific expertise and capabilities.

Gaining market share and growing the client base are two aspects of competition. To raise awareness and attract clients, providers use marketing tactics such as targeted advertising, content marketing, and involvement in industry events. Strategic alliances with complementary technology providers or industry influencers can also help to increase market penetration.

Key Players

  • Meta
  • Alphabet
  • Haptik Inc.
  • Helpshift
  • Kasisto Inc

Recent Advancements

The strategy framework of leading service providers is centered on bagging larger revenues to achieve greater profits. A few recent developments in the chatbot business are as follows:

  • September 2022 - eGain Corporation, the premier knowledge automation platform supplier for customer engagement, announced the availability of a pre-built connector for IBM Watson Assistant. The connector takes advantage of eGain's unique BYOB architecture, allowing business users to simply plug the Watson Assistant into the eGain platform without coding.
  • August 2022 - Serviceaide Inc. highlighted sustained Latin American momentum, including a strong, established customer base in South America and an expanded sales and support presence in Mexico. The company announced a Spanish-language version of its ChangeGear ITSM platform in the region. Extending on the Luma Virtual Agent Suite and Intelligent Service Management (ISM) ITSM solutions that were already accessible. ISM is a popular platform among partners since it serves as the foundation for their BPO, ITO, and MSP operations.
  • In February 2021, Kore.ai launched a Virtual Assistant Platform in Japan. The Kore virtual assistant platform was published in Japanese to address the demands and expedite the adoption of virtual assistants. This may aid enterprise customers in shortening time-to-market and improving the customer experience in their local tongue.
  • Google and Apple partnered in April 2020 to enable the use of Bluetooth technologies to assist the government and healthcare agencies in reducing the spread of COVID-19. This opened up the possibility of a larger Bluetooth-based contact tracing platform.
  • Artificial Solutions and Capgemini teamed up in June 2019 to use Conversational AI for Digital Transformation. Capgemini was able to use Artificial Solutions' Teneo conversational AI development platform as part of its digital transformation initiatives for clients thanks to the relationship.

Key Segments

By Platform:

  • Mobile Based
  • Standalone

By Enterprise Size:

  • Small & Medium Enterprise
  • Large Enterprise

By Region:

  • North America
  • South America
  • Europe
  • Asia Pacific
  • The Middle East & Africa

Frequently Asked Questions

What is the growth rate from 2023 to 2033?

The market will expand at a 21.6% CAGR from 2023 to 2033.

What is the 2023 market value?

The market in 2023 totals US$ 696.4 million.

What is the CAGR for the Europe market?

The Europe will register a 24.3% CAGR until 2033.

What is the market value for 2033?

By 2033, the market will reach US$ 4.9 billion.

What is North America's expected market size in 2033?

North America is expected to reach market size of US$ 2.8 billion in 2033.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

        3.6.2. By Key Countries

    3.7. Regional Parent Market Outlook

4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Platform

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Platform, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Platform, 2023 to 2033

        5.3.1. Mobile-Based

        5.3.2. Stand alone

        5.3.3. Mobile

    5.4. Y-o-Y Growth Trend Analysis By Platform, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Platform, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033

        6.3.1. Small & Medium Enterprise

        6.3.2. Large Enterprise

    6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    7.1. Introduction

    7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        7.3.1. North America

        7.3.2. Latin America

        7.3.3. Europe

        7.3.4. South Asia

        7.3.5. East Asia

        7.3.6. Oceania

        7.3.7. MEA

    7.4. Market Attractiveness Analysis By Region

8. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        8.2.1. By Country

            8.2.1.1. The USA

            8.2.1.2. Canada

        8.2.2. By Platform

        8.2.3. By Enterprise Size

    8.3. Market Attractiveness Analysis

        8.3.1. By Country

        8.3.2. By Platform

        8.3.3. By Enterprise Size

    8.4. Key Takeaways

9. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        9.2.1. By Country

            9.2.1.1. Brazil

            9.2.1.2. Mexico

            9.2.1.3. Rest of Latin America

        9.2.2. By Platform

        9.2.3. By Enterprise Size

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Platform

        9.3.3. By Enterprise Size

    9.4. Key Takeaways

10. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. Germany

            10.2.1.2. United Kingdom

            10.2.1.3. France

            10.2.1.4. Spain

            10.2.1.5. Italy

            10.2.1.6. Rest of Europe

        10.2.2. By Platform

        10.2.3. By Enterprise Size

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Platform

        10.3.3. By Enterprise Size

    10.4. Key Takeaways

11. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. India

            11.2.1.2. Malaysia

            11.2.1.3. Singapore

            11.2.1.4. Thailand

            11.2.1.5. Rest of South Asia

        11.2.2. By Platform

        11.2.3. By Enterprise Size

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Platform

        11.3.3. By Enterprise Size

    11.4. Key Takeaways

12. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. China

            12.2.1.2. Japan

            12.2.1.3. South Korea

        12.2.2. By Platform

        12.2.3. By Enterprise Size

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Platform

        12.3.3. By Enterprise Size

    12.4. Key Takeaways

13. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. Australia

            13.2.1.2. New Zealand

        13.2.2. By Platform

        13.2.3. By Enterprise Size

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Platform

        13.3.3. By Enterprise Size

    13.4. Key Takeaways

14. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. GCC Countries

            14.2.1.2. South Africa

            14.2.1.3. Israel

            14.2.1.4. Rest of MEA

        14.2.2. By Platform

        14.2.3. By Enterprise Size

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Platform

        14.3.3. By Enterprise Size

    14.4. Key Takeaways

15. Key Countries Market Analysis

    15.1. USA

        15.1.1. Pricing Analysis

        15.1.2. Market Share Analysis, 2022

            15.1.2.1. By Platform

            15.1.2.2. By Enterprise Size

    15.2. Canada

        15.2.1. Pricing Analysis

        15.2.2. Market Share Analysis, 2022

            15.2.2.1. By Platform

            15.2.2.2. By Enterprise Size

    15.3. Brazil

        15.3.1. Pricing Analysis

        15.3.2. Market Share Analysis, 2022

            15.3.2.1. By Platform

            15.3.2.2. By Enterprise Size

    15.4. Mexico

        15.4.1. Pricing Analysis

        15.4.2. Market Share Analysis, 2022

            15.4.2.1. By Platform

            15.4.2.2. By Enterprise Size

    15.5. Germany

        15.5.1. Pricing Analysis

        15.5.2. Market Share Analysis, 2022

            15.5.2.1. By Platform

            15.5.2.2. By Enterprise Size

    15.6. United Kingdom

        15.6.1. Pricing Analysis

        15.6.2. Market Share Analysis, 2022

            15.6.2.1. By Platform

            15.6.2.2. By Enterprise Size

    15.7. France

        15.7.1. Pricing Analysis

        15.7.2. Market Share Analysis, 2022

            15.7.2.1. By Platform

            15.7.2.2. By Enterprise Size

    15.8. Spain

        15.8.1. Pricing Analysis

        15.8.2. Market Share Analysis, 2022

            15.8.2.1. By Platform

            15.8.2.2. By Enterprise Size

    15.9. Italy

        15.9.1. Pricing Analysis

        15.9.2. Market Share Analysis, 2022

            15.9.2.1. By Platform

            15.9.2.2. By Enterprise Size

    15.10. India

        15.10.1. Pricing Analysis

        15.10.2. Market Share Analysis, 2022

            15.10.2.1. By Platform

            15.10.2.2. By Enterprise Size

    15.11. Malaysia

        15.11.1. Pricing Analysis

        15.11.2. Market Share Analysis, 2022

            15.11.2.1. By Platform

            15.11.2.2. By Enterprise Size

    15.12. Singapore

        15.12.1. Pricing Analysis

        15.12.2. Market Share Analysis, 2022

            15.12.2.1. By Platform

            15.12.2.2. By Enterprise Size

    15.13. Thailand

        15.13.1. Pricing Analysis

        15.13.2. Market Share Analysis, 2022

            15.13.2.1. By Platform

            15.13.2.2. By Enterprise Size

    15.14. China

        15.14.1. Pricing Analysis

        15.14.2. Market Share Analysis, 2022

            15.14.2.1. By Platform

            15.14.2.2. By Enterprise Size

    15.15. Japan

        15.15.1. Pricing Analysis

        15.15.2. Market Share Analysis, 2022

            15.15.2.1. By Platform

            15.15.2.2. By Enterprise Size

    15.16. South Korea

        15.16.1. Pricing Analysis

        15.16.2. Market Share Analysis, 2022

            15.16.2.1. By Platform

            15.16.2.2. By Enterprise Size

    15.17. Australia

        15.17.1. Pricing Analysis

        15.17.2. Market Share Analysis, 2022

            15.17.2.1. By Platform

            15.17.2.2. By Enterprise Size

    15.18. New Zealand

        15.18.1. Pricing Analysis

        15.18.2. Market Share Analysis, 2022

            15.18.2.1. By Platform

            15.18.2.2. By Enterprise Size

    15.19. GCC Countries

        15.19.1. Pricing Analysis

        15.19.2. Market Share Analysis, 2022

            15.19.2.1. By Platform

            15.19.2.2. By Enterprise Size

    15.20. South Africa

        15.20.1. Pricing Analysis

        15.20.2. Market Share Analysis, 2022

            15.20.2.1. By Platform

            15.20.2.2. By Enterprise Size

    15.21. Israel

        15.21.1. Pricing Analysis

        15.21.2. Market Share Analysis, 2022

            15.21.2.1. By Platform

            15.21.2.2. By Enterprise Size

16. Market Structure Analysis

    16.1. Competition Dashboard

    16.2. Competition Benchmarking

    16.3. Market Share Analysis of Top Players

        16.3.1. By Regional

        16.3.2. By Platform

        16.3.3. By Enterprise Size

17. Competition Analysis

    17.1. Competition Deep Dive

        17.1.1. Acuvate

            17.1.1.1. Overview

            17.1.1.2. Product Portfolio

            17.1.1.3. Profitability by Market Segments

            17.1.1.4. Sales Footprint

            17.1.1.5. Strategy Overview

                17.1.1.5.1. Marketing Strategy

        17.1.2. Aivo

            17.1.2.1. Overview

            17.1.2.2. Product Portfolio

            17.1.2.3. Profitability by Market Segments

            17.1.2.4. Sales Footprint

            17.1.2.5. Strategy Overview

                17.1.2.5.1. Marketing Strategy

        17.1.3. Artificial Solutions

            17.1.3.1. Overview

            17.1.3.2. Product Portfolio

            17.1.3.3. Profitability by Market Segments

            17.1.3.4. Sales Footprint

            17.1.3.5. Strategy Overview

                17.1.3.5.1. Marketing Strategy

        17.1.4. Botsify Inc.

            17.1.4.1. Overview

            17.1.4.2. Product Portfolio

            17.1.4.3. Profitability by Market Segments

            17.1.4.4. Sales Footprint

            17.1.4.5. Strategy Overview

                17.1.4.5.1. Marketing Strategy

        17.1.5. Creative Virtual Ltd.

            17.1.5.1. Overview

            17.1.5.2. Product Portfolio

            17.1.5.3. Profitability by Market Segments

            17.1.5.4. Sales Footprint

            17.1.5.5. Strategy Overview

                17.1.5.5.1. Marketing Strategy

        17.1.6. eGain Corporation

            17.1.6.1. Overview

            17.1.6.2. Product Portfolio

            17.1.6.3. Profitability by Market Segments

            17.1.6.4. Sales Footprint

            17.1.6.5. Strategy Overview

                17.1.6.5.1. Marketing Strategy

        17.1.7. IBM Corporation

            17.1.7.1. Overview

            17.1.7.2. Product Portfolio

            17.1.7.3. Profitability by Market Segments

            17.1.7.4. Sales Footprint

            17.1.7.5. Strategy Overview

                17.1.7.5.1. Marketing Strategy

        17.1.8. Inbenta Technologies Inc.

            17.1.8.1. Overview

            17.1.8.2. Product Portfolio

            17.1.8.3. Profitability by Market Segments

            17.1.8.4. Sales Footprint

            17.1.8.5. Strategy Overview

                17.1.8.5.1. Marketing Strategy

        17.1.9. Next IT Corp.

            17.1.9.1. Overview

            17.1.9.2. Product Portfolio

            17.1.9.3. Profitability by Market Segments

            17.1.9.4. Sales Footprint

            17.1.9.5. Strategy Overview

                17.1.9.5.1. Marketing Strategy

        17.1.10. Nuance Communications, Inc.

            17.1.10.1. Overview

            17.1.10.2. Product Portfolio

            17.1.10.3. Profitability by Market Segments

            17.1.10.4. Sales Footprint

            17.1.10.5. Strategy Overview

                17.1.10.5.1. Marketing Strategy

18. Assumptions & Acronyms Used

19. Research Methodology

Recommendations

Technology

Augmented Reality and Virtual Reality Market

Published : May 2017

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