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Middle East & Africa Chatbot Market Outlook, 2028

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    Report

  • 85 Pages
  • September 2023
  • Region: Africa, Middle East
  • Bonafide Research
  • ID: 5887371
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The Middle East and Africa region is going through a digital transition, with technology playing an important role in altering sectors and improving customer experiences. Chatbots have emerged as a disruptive force among the technological breakthroughs making ripples in the Middle East & Africa market. Chatbots powered by artificial intelligence (AI) are transforming company interactions with customers and streamlining operations. In recent years, the Middle East and Africa chatbot market has grown significantly. This increase can be attributed to a variety of factors, including increased smartphone usage, more internet access, and a more tech-savvy population. Furthermore, businesses in the region are seeing the potential of chatbots to improve customer interaction, automate repetitive operations, and reduce operational expenses. Middle East & Africa has a diverse mix of languages and dialects that represent its complex cultural tapestry. This region's chatbot developers have understood the need to cater to this language diversity. They create chatbots that can converse in a variety of languages, including Arabic, English, French, and a number of indigenous languages. Furthermore, these chatbots are culturally sensitive, comprehending the subtleties and cultural context of conversations, which is critical for offering relevant and meaningful connections. This expertise in multilingual and culturally sensitive chatbot development not only provides a larger reach across Middle East & Africa's diverse population, but it also improves user experiences by making interactions more personalized and relevant. In the ever-changing field of AI-driven technology, it demonstrates the region's commitment to diversity and customer-centric solutions. Islamic finance is an important aspect of the Middle East & Africa financial landscape. Chatbots in this region are frequently tailored to deliver Sharia-compliant information and services, responding to the unique financial needs of Islamic customers. Middle East & Africa chatbots are integrated with a range of regional payment mechanisms, including mobile wallets and digital payment solutions. They can also handle currency conversions and provide information on local purchasing trends.

According to the research report, “Middle East & Africa Chatbot Market Outlook, 2028” the market is expected to reach market size of more than USD 1300 Million by 2028. Middle East & Africa chatbots frequently include real-time translation features, allowing users who speak multiple languages to communicate in a natural manner. This function is very useful in diverse and multicultural areas. Middle East & Africa chatbots have advanced natural language understanding (NLU) capabilities that allow them to recognize colloquialisms, regional accents, and slang, making interactions more relatable and productive. Chatbots provide services linked to personal finance, currency exchange rates, and international remittances to the region's considerable expatriate population, meeting the special financial demands of expats. Chatbots are used in language learning and acquisition programs to provide users with customized lessons and activities to help them improve their language skills in many languages. Chatbots are used by businesses to acquire important insights on local market trends, consumer preferences, and sentiment analysis, allowing them to make data-driven decisions about their operations and product offers. Chatbots are being actively used by Middle East & Africa governments to improve citizen services. These bots help with duties such as applying for government permissions, paying taxes, and gaining access to public information, thereby streamlining bureaucratic processes. Middle East & Africa chatbots are used for online education, providing tutoring, language instruction, and educational resources to students of all ages, particularly in areas where traditional educational institutions are few. Chatbots play an important role in promoting economic inclusion by offering disadvantaged and unbanked individuals financial literacy instruction, microloan applications, and investment advice. Some MEA chatbots use blockchain technology to provide secure and transparent financial services such as bitcoin trades and digital wallet management.

Based on the report market is bifurcated into three major countries United Arab Emirates, Saudi Arabia and South Africa. Among them Saudi Arabia is expected to lead the market of Middle East & Africa.

Saudi Arabia, a country dedicated to technological advancement and digital transformation, has emerged as a vital participant in the ever-changing world of chatbot technology. Chatbots, intelligent conversational agents powered by artificial intelligence (AI) and natural language processing (NLP), have thrived in the Kingdom, transforming customer service, streamlining business processes, and increasing user experiences. Vision 2030, Saudi Arabia's comprehensive development program, places a strong emphasis on digital transformation. The government's dedication to leveraging technology to diversify the economy and improve public services has created an environment conducive to chatbot adoption. Chatbots have been quickly used by government organizations and institutions to increase citizen participation, reduce administrative processes, and improve public service accessibility. E-commerce and retail have grown fast throughout the Kingdom. Consumers are increasingly turning to online platforms for their buying requirements, thanks to a tech-savvy and digitally connected populace. E-commerce and retail have grown fast throughout the Kingdom. Because of a tech-savvy and digitally connected population, consumers are increasingly turning to online platforms for their purchasing needs. Chatbots play a vital role in this field, providing personalized recommendations, assisting with order tracking, and addressing customer complaints quickly. Chatbots are assisting firms in competing for digital consumers' attention. The diverse population of Saudi Arabia includes people from many linguistic backgrounds. Chatbots with multilingual capabilities can cater to a varied audience by providing assistance in both Arabic and English. This language variety is critical to making chatbots accessible and useful for all users. In Saudi Arabia, chatbots are exploiting the power of data analytics. These AI-powered assistants capture and evaluate user interactions, providing important information about customer behavior and preferences. Businesses can use this data to improve their marketing tactics, optimize their products and services, and make informed decisions in order to remain competitive in the market.

Based on offering market is segmented into solutions, services, training and consulting, system integration and implementation and support and maintenance. System integration and implementation offering is expected to grow at significant pace in Middle East & Africa chatbot market.

The Middle East and Africa area has seen an increase in demand for chatbot solutions in a variety of industries, including banking, healthcare, e-commerce, and customer service. Chatbots can improve customer service, expedite corporate procedures, and save operational expenses, making them appealing to regional enterprises. The Middle East and Africa are culturally varied regions with numerous languages spoken. Chatbots must be able to communicate with consumers and users in a variety of languages and dialects. Multilingual chatbot implementation frequently necessitates specialist integration to handle language processing and comprehension. To remain competitive in the global market, many organizations in the Middle East and Africa are pursuing digital transformation projects. Chatbots are considered a critical component of these endeavors, and their integration with current systems is part of the broader transformation strategy. Chatbots are being investigated by governments and healthcare organizations in the Middle East and Africa to improve citizen services and patient care. These industries frequently necessitate complicated integration with existing infrastructure, resulting in a demand for system integration services. The Middle East and Africa have witnessed the growth of a thriving tech sector, with startups and technology firms focused on AI and chatbot solutions. As these organizations seek to commercialize their capabilities, demand for integration and implementation services has increased.

Based on type market is divided into menu based, linguistic-based, keyword recognition based, contextual, hybrid and voicebots. Menu based type is dominating the market of Middle East & Africa.

Menu-based chatbots often have a structured menu system that allows users to easily navigate through options. As a result, they are more accessible to a broader spectrum of users, including people who are less tech-savvy or comfortable with natural language interactions. Menu-based chatbots provide a simple and intuitive user experience. In order to obtain information or accomplish tasks, users do not need to compose complex queries or use specialized terms. This ease of use can lead to increased user adoption and satisfaction. Menu-based chatbots are ideal for handling transactions like ordering things, scheduling appointments, and making bookings. Users can perform their jobs by following a guided method within the menu. Creating and maintaining menu-based chatbots can be less expensive than creating complicated natural language processing (NLP) chatbots. This can be especially enticing to MEA-based small enterprises and startups. Because menu-based chatbots do not require considerable training for natural language interpretation, they may frequently be deployed more quickly than NLP-based chatbots. This enables organizations to quickly install chatbot solutions.

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 Middle East & Africa region is noted for its linguistic diversity, with a variety of languages and dialects spoken in various countries. Text-based chatbots can be simply created to accommodate many languages and scripts, making them ideal for meeting the region's linguistic needs. Middle East & Africa is a varied cultural and customs region. Text-based chatbots enable more controlled and culturally sensitive interactions, lowering the possibility of misunderstandings that can arise with voice or visual interfaces. Text-based interactions utilize less data than voice or video interactions, making them a more cost-effective option for consumers in Middle East & Africa, where data costs are often an issue. Rising internet penetration, greater smartphone usage, and a burgeoning middle class have all contributed to considerable growth in the MEA e-commerce sector. Chatbots play an important role in improving the online shopping experience, assisting customers, and enabling transactions. Shipping, refunds, product availability, and pricing are some of the most frequently asked issues on retail and e-commerce websites. Chatbots thrive in answering frequently asked questions quickly and accurately, freeing up human agents for more difficult inquiries. Chatbots can aid with inventory management by keeping track of product availability and managing orders effectively. This is especially true in the fast-paced world of e-commerce.

Companies Covered in this report:

The International Business Machines Corporation, Microsoft Corporation, Google LLC, Amazon.com, Inc, Salesforce, Inc., Oracle Corporation, eGain Corporation, Genesys Telecommunications Laboratories, Inc., Accenture plc.

Considered in this report:

  • Geography: Middle East & Africa
  • Historic year: 2017
  • Base year: 2022
  • Estimated year: 2023
  • Forecast year: 2028

Aspects covered in this report:

  • Middle East & Africa 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:

  • United Arab Emirates
  • Saudi Arabia
  • South Africa

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. Middle East & Africa 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. UAE 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. Saudi Arabia 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. South Africa 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
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. eGain Corporation
8.5.8. Genesys Telecommunications Laboratories, Inc.
8.5.9. Accenture plc
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: Middle East & Africa Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 7: Middle East & Africa Chatbot Market Share By Country (2022)
Figure 8: UAE Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 9: Saudi Arabia Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 10: South Africa Chatbot Market Size By Value (2017, 2022 & 2028F) (in USD Billion)
Figure 11: Competitive Dashboard of top 5 players, 2022
Figure 12: 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: Middle East & Africa Chatbot Market Size and Forecast, By Offering (2017 to 2028F) (In USD Billion)
Table 11: Middle East & Africa Chatbot Market Size and Forecast, By Type (2017 to 2028F) (In USD Billion)
Table 12: Middle East & Africa Chatbot Market Size and Forecast, By Bot Communication (2017 to 2028F) (In USD Billion)
Table 13: Middle East & Africa Chatbot Market Size and Forecast, By Vertical (2017 to 2028F) (In USD Billion)
Table 14: Influencing Factors for Chatbot Market, 2022
Table 15: United Arab Emirates Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 16: United Arab Emirates Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 17: United Arab Emirates Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 18: Saudi Arabia Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 19: Saudi Arabia Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 20: Saudi Arabia Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)
Table 21: South Africa Chatbot Market Size and Forecast By Offering (2017 to 2028F) (In USD Billion)
Table 22: South Africa Chatbot Market Size and Forecast By Type (2017 to 2028F) (In USD Billion)
Table 23: South Africa Chatbot Market Size and Forecast By Bot Communication (2017 to 2028F) (In USD Billion)