The study involved major activities in estimating the current market size for the AI for customer service market. Exhaustive secondary research was done to collect information on the AI for customer service market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, such as top-down and bottom-up, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the AI for customer service market.
Secondary Research
The market for the companies offering AI for customer service solutions is arrived at by secondary data available through paid and unpaid sources, analyzing the product portfolios of the major companies in the ecosystem, and rating the companies by their performance and quality. Various sources were referred to in the secondary research process to identify and collect information for this study. The secondary sources include annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.
In the secondary research process, various secondary sources were referred to for identifying and collecting information related to the study. Secondary sources included annual reports, press releases, and investor presentations of AI for customer service vendors, forums, certified publications, and whitepapers. The secondary research was used to obtain critical information on the industry’s value chain, the total pool of key players, market classification, and segmentation from the market and technology-oriented perspectives.
Primary Research
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included industry experts, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the AI for customer service market. After the complete market engineering (calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of AI for customer service solutions offered by various market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key player strategies. In the complete market engineering process, the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list the key information/insights throughout the report.
Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges
between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
Both top-down and bottom-up approaches were used to estimate and validate the total size of the cell culture market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:
AI for Customer Service Market : Top-Down and Bottom-Up Approach
Data Triangulation
After arriving at the overall market size using the market size estimation processes explained above, the market was split into various segments and subsegments. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.
Market Definition
AI for customer service utilizes AI technologies to scale up all aspects of customer support and enable organizations to automate customer experiences, streamline workflows, and assist agent productivity. AI-driven customer support tools such as chatbots, voice bots, workflow automation, AI Agents, recommendation systems, diagnostic tools, and many more offer more personalized data-driven round-the-clock support with the aim of augmenting agent experience. These tools analyze data generated from customer service interactions to resolve or handle customer queries in real-time. The AI-driven agent assistance tools benefit support teams across key enterprises to resolve issues quickly and efficiently, along with tailor-made customer responses. Additionally, the advent of Gen AI for customer service offers more personalized human-like interactions with custom-made responses in real-time.
Stakeholders
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Executives/business owners
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Customer service representatives
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IT/Technology teams
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Customer service managers
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Legal and Compliance teams
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Data Analysts
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Product managers
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Distributors and Value-added Resellers (VARs)
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Independent Software Vendors (ISV)
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Managed service providers
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Support & maintenance service providers
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System Integrators (SIs)/migration service providers
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OEMs
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Technology providers
Report Objectives
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To define, describe, and predict the AI for customer service market by product (type, deployment mode, customer service delivery mode, functional area), technology, customer interaction channel, end users, and region
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To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
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To analyze the micro markets with respect to individual growth trends, prospects, and their contributions to the total market
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To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI for customer service market
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To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
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To forecast the market size of five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
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To profile key players and comprehensively analyze their market rankings and core competencies
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To analyze competitive developments, such as partnerships, new product launches, and mergers & acquisitions, in the AI for customer service market
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To analyze the impact of the recession across all regions in the AI for customer service market
Available Customizations
With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:
Product Analysis
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Product quadrant, which gives a detailed comparison of the product portfolio of each company.
Geographic Analysis as per Feasibility
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Further breakup of the North American AI for customer service market
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Further breakup of the European AI for customer service market
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Further breakup of the Asia Pacific AI for customer service market
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Further breakup of the Middle Eastern & African AI for customer service market
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Further breakup of the Latin America AI for customer service market
Company Information
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Detailed analysis and profiling of additional market players (up to five)
HIGHEST GROWTH RATE (2024-2030)
INDIA FASTEST-GROWING MARKET IN THE REGION
Growth opportunities and latent adjacency in AI for Customer Service Market