The generative AI in customer services market size is expected to see exponential growth in the next few years. It will grow to $1.38 billion in 2028 at a compound annual growth rate (CAGR) of 28%. The anticipated growth during the forecast period can be linked to the integration of IoT devices, expansion of multilingual capabilities, emphasis on ethical AI, the integration of augmented reality (AR), and a focus on emotional intelligence. Key trends expected in the upcoming period include the proliferation of AI-powered recommendations, the rise of AI-powered virtual assistants, an increased focus on emotional engagement, integration with social media platforms, and the adoption of AI-powered sentiment analysis tools.
The growing integration of AI in customer services within the travel and hospitality industry is anticipated to boost the development of generative AI in the customer services sector. This industry, which includes travel, tourism, accommodations, dining, entertainment, and recreation services, benefits significantly from AI applications that offer personalized, efficient, and scalable solutions to enhance the customer experience, thereby promoting growth for travel-related businesses. For example, data from the US Department of Commerce 2021 Highlights revealed that international travel and tourism arrivals in the United States increased to 22.1 million in 2021, up from 19.2 million in 2020. Thus, the increasing use of AI in customer services within the travel and hospitality sector is a key driver for the expansion of the generative AI in the customer services market.
Leading enterprises in the generative AI customer services market are focusing on pioneering automation technologies to transform customer interactions and streamline service operations. These innovations promote enhanced responsiveness, personalization, and operational efficiency by automatically generating tailored responses, utilizing predictive analytics, and facilitating intelligent decision-making processes. For example, in April 2023, Ada, a customer service automation company based in the US, introduced a generative AI-driven customer service suite designed to improve customer experiences by providing personalized and intuitive interactions through various channels, including messaging and voice.
In June 2023, Ramp, a finance automation platform provider in the US, acquired Cohere.io, an AI-powered customer support platform company, for an undisclosed sum. This acquisition aims to bolster Ramp's automation capabilities, particularly by leveraging large language models to automate a substantial volume of customer support ticket responses, enhancing overall service efficiency.
Major companies operating in the generative ai in customer services market are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, salesforce.com inc., Twilio Inc., Nuance Communications Inc., Zendesk Inc., Verint Systems Inc., LivePerson Inc., Intercom Inc., Adastra Corporation, Boost.ai AS, Haptik Inc., Helpshift Inc., Rasa Technologies Inc., Cognigy Inc., DigitalGenius Corporation, SmartAction LLC, Solvvy Inc., ObserveAI Inc., Pypestream Inc., Inbenta Technologies Inc.
North America was the largest region in the generative AI in customer services market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative ai in customer services market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the generative ai in customer services market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative AI in customer services involves artificial intelligence technologies designed to autonomously produce responses that closely mimic human interaction in addressing customer inquiries or problems. These systems leverage natural language processing and machine learning to comprehend inquiries and generate responses that are both relevant and contextually appropriate, thereby improving the efficiency and scalability of customer service functions.
The primary forms of generative AI utilized in customer services include cloud-based, on-premise, and hybrid models. Cloud-based generative AI operates on servers hosted remotely, using AI algorithms to autonomously generate responses, recommendations, or solutions to customer inquiries, thereby streamlining support operations and enhancing customer satisfaction. This technology is applied across various functionalities such as chatbots, virtual assistants, personalized recommendations, and sentiment analysis. It serves multiple sectors, including banking, financial services, and insurance (BFSI), information technology (IT) and telecommunications, travel and hospitality, healthcare, among others.
The generative AI in customer services research report is one of a series of new reports that provides generative AI in customer services market statistics, including the generative AI in customer services industry's global market size, regional shares, competitors with a generative AI in customer services market share, detailed generative AI in customer services market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in customer services industry. This generative AI in customer services market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative AI in customer services market consists of revenues earned by entities by providing services such as automated responses, personalized recommendations, language translation, sentiment analysis, content generation, and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in customer services market also includes sales of personalization platforms, predictive analytics tools, sales enablement software, sentiment analysis tools, and dynamic pricing solutions. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative AI In Customer Services Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on generative AI in customer services market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative AI in customer services ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative AI in customer services market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Deployment: Cloud Based; On Premise; Hybrid2) By Application: Chatbot; Virtual Assistants; Personalized Recommendations; Sentiment Analysis; Other Applications.
3) By Industry: Retail; Banking Financial Services And Insurance (BFSI); Information Technology (IT) And Telecommunications; Travel And Hospitality; Healthcare; Other Industries.
Key Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; International Business Machines Corporation; Oracle Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Amazon.com Inc.
- Alphabet Inc.
- Microsoft Corporation
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- salesforce.com inc.
- Twilio Inc.
- Nuance Communications Inc.
- Zendesk Inc.
- Verint Systems Inc.
- LivePerson Inc.
- Intercom Inc.
- Adastra Corporation
- Boost.ai AS
- Haptik Inc.
- Helpshift Inc.
- Rasa Technologies Inc.
- Cognigy Inc.
- DigitalGenius Corporation
- SmartAction LLC
- Solvvy Inc.
- ObserveAI Inc.
- Pypestream Inc.
- Inbenta Technologies Inc.;;;
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | May 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 0.51 Billion |
Forecasted Market Value ( USD | $ 1.38 Billion |
Compound Annual Growth Rate | 28.0% |
Regions Covered | Global |
No. of Companies Mentioned | 25 |