AI for Customer Service Market by Product Type (AI Agents, Recommendation Systems (Knowledge Base Platforms), Workflow Automation (RPA, CRM Automation), Content Generation, Customer Journey Analytics, Service Quality Management) - Global Forecast to 2030

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,950	369 Pages	MarketsandMarkets	February, 2025	MKMK19635793

Best Price Guarantee
Price	from $4,950
Length	369 Pages
Publisher	MarketsandMarkets
Published Date	February, 2025
SKU	MKMK19635793

The AI for customer service market is projected to grow from USD 12.06 billion in 2024 to USD 47.82 billion by 2030, at a compound annual growth rate (CAGR) of 25.8% during the forecast period. AI-powered chatbots and virtual assistants are transforming customer service by providing efficient, personalized support. These technologies enable businesses to engage customers 24/7, offering instant responses to inquiries, which significantly reduces wait times and enhances satisfaction. Chatbots can handle multiple conversations simultaneously, allowing for scalability during peak periods without compromising service quality. Additionally, they utilize advanced algorithms to analyze customer data, enabling tailored recommendations and contextual interactions that foster deeper connections. This personalization not only improves user experience but also drives customer loyalty. As companies increasingly adopt these AI solutions, chatbots are becoming essential tools in modern customer engagement strategies, streamlining operations and enhancing overall service quality.

“By end user, healthcare & life sciences segment will lead the market during the forecast period.”

Healthcare and life sciences are increasingly leading the customer service market through innovative engagement strategies. Hybrid engagement models are emerging, combining personalized interactions with digital channels to enhance customer experiences. Companies are leveraging AI technologies for tailored communications, self-service analytics, and intelligent patient services, fostering a more responsive environment. The shift towards digital transformation has made telemedicine and virtual visits commonplace, allowing patients to interact conveniently with healthcare providers. Additionally, organizations are focusing on personalized insights and customized care journeys, ensuring that patient needs are met effectively. This evolution not only improves service delivery but also enhances overall patient satisfaction and loyalty in a rapidly changing landscape.

“By region, Asia Pacific to register the highest CAGR market during the forecast period.” Asia Pacific is leading the AI-powered customer service market due to the region's rapid adoption of technology, large consumer bases, and increasing demand for enhanced customer experiences. The rise of e-commerce, mobile services, and digital transformation initiatives across various industries, particularly in retail, banking, and telecommunications, has driven the need for more efficient and personalized customer interactions. India and China are the top countries driving this trend. In India, the focus is on improving service delivery and reducing costs, while in China, AI is being integrated into smart customer service solutions, including voice assistants and chatbots, to serve millions of customers. These innovations enhance customer satisfaction, streamline operations, and meet the growing expectations of both consumers and businesses.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI for customer service market.

By Company: Tier I: 45%, Tier II: 35%, and Tier III: 20%

By Designation: C-Level: 40%, Director Level: 35%, and Others: 25%

By Region: North America: 30%, Europe: 20%, Asia Pacific: 35%, Middle East & Africa: 10%, and Latin America: 5%.

Microsoft (US), IBM (US), Google (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US); are some of the key players in the AI for customer service market.

The study includes an in-depth competitive analysis of these key players in the AI for customer service market, including their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the AI for customer service market by product type (chatbots and virtual assistants, AI-driven ticketing systems, sentiment and feedback analysis tools, recommendation systems, visual and diagnostic tools, workflow automation, content management, AI agents), by deployment mode (cloud and on-premises), by customer service delivery mode (self-service, agent augmented backend operations automation), by functional area (pre-sales and post-sales), by technology (generative AI and other AI), by customer interaction channel (text and email, voice, video/visual, and omnichannel), by end user (media & entertainment, telecommunications, government & public sector, healthcare & life sciences, manufacturing, retail & ecommerce, technology & software, travel & hospitality, transportation & logistics). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI for customer service market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions and services, key strategies, Contracts, partnerships, and agreements. new product & service launches, mergers and acquisitions, and recent developments associated with the AI for customer service market. Competitive analysis of upcoming startups in the AI for customer service market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI for customer service market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Improved customer engagement with omni-channel self-service options, and enhancing efficiency and satisfaction with intelligent routing), restraints (Mitigating deepfake threats in customer service), opportunities (augmenting customer service efficiency with Gen AI solutions, empowering proactive customer service with ai solutions), and challenges (threat of job displacements in customer service)

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI for customer service market

Market Development: Comprehensive information about lucrative markets – the report analyses the AI for customer service market across varied regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI for customer service market

Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), Salesforce (US), Atlassian (Australia), ServiceNow (US), SAP (Germany), Zendesk (US), Sprinklr (US), OpenAI (US), Aisera (US), UiPath (US), HubSpot (US), NICE (Israel), Intercom (US), Qualtrics (US) among others in AI for customer service market.

Tables List

1 Introduction: 1.1 Study Objectives; 1.2 Market Definition; 1.3 Market Scope; 1.4 Currency Considered; 1.5 Stakeholders
2 Research Methodology: 2.1 Research Data; 2.2 Data Triangulation; 2.3 Market Size Estimation; 2.4 Market Forecast; 2.5 Research Assumptions; 2.6 Risk Assessment; 2.7 Research Limitations
3 Executive Summary
4 Premium Insights: 4.1 Attractive Opportunities For Players In Ai For Customer Service Market; 4.2 Ai For Customer Service Market: Top Three Customer Service Delivery Modes; 4.3 North America: Ai For Customer Service Market, By Deployment Mode; And Functional Area; 4.4 Ai For Customer Service Market: By Region
5 Market Overview And Industry Trends: 5.1 Introduction; 5.2 Market Dynamics; 5.3 Industry Trends
6 Ai For Customer Service Market, By End User: 6.1 Introduction; 6.2 Bfsi; 6.3 Media & Entertainment; 6.4 Telecommunications; 6.5 Government & Public Sector; 6.6 Healthcare & Life Sciences; 6.7 Manufacturing; 6.8 Retail & E-commerce; 6.9 Technology & Software; 6.10 Travel & Hospitality; 6.11 Transportation & Logistics; 6.12 Other End Users
7 Ai For Customer Service Market, By Product: 7.1 Introduction; 7.2 Type; 7.3 By Deployment Mode; 7.4 By Customer Service Delivery Mode; 7.5 By Functional Area
8 Ai For Customer Service Market, By Technology: 8.1 Introduction
9 Ai For Customer Service Market, By Customer: Interaction Channel; 9.1 Introduction; 9.2 Text And Email; 9.3 Voice; 9.4 Video/Visual; 9.5 Omnichannel
10 Ai For Customer Service Market, By Region: 10.1 Introduction; 10.2 North America; 10.3 Europe; 10.4 Asia Pacific; 10.5 Middle East & Africa; 10.6 Latin America
11 Competitive Landscape: 11.1 Overview; 11.2 Key Player Strategies/Right To Win, 2020–2024; 11.3 Revenue Analysis, 2019–2023; 11.4 Market Share Analysis, 2023; 11.5 Product Comparative Analysis, By Product Type; 11.6 Company Valuation And Financial Metrics Of Key Vendors; 11.7 Company Evaluation Matrix: Key Players, 2023; 11.8 Company Evaluation Matrix: Startups/Smes, 2023; 11.9 Competitive Scenario
12 Company Profiles: 12.1 Introduction; 12.2 Key Players; 12.3 Startups/Smes
13 Adjacent And Related Markets: 13.1 Introduction; 13.2 Conversational Ai Market – Global Forecast To 2030; 13.3 Ai Agents Market
14 Appendix: 14.1 Discussion Guide; 14.2 Knowledgestore: Marketsandmarkets’ Subscription Portal; 14.3 Customization Options; 14.4 Related Reports; 14.5 Author Details

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