AI in Social Media Market

AI in Social Media Market Share & Analysis – Industry Overview

Base Year: 2024 Historical Data: 2021-23
  • Report ID: TBI-14696
  • Published Date: Mar, 2025
  • Pages: 237
  • Category: Information Technology & Semiconductors
  • Format: PDF
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Segment Analysis

Regional segmentation analysis

The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the most significant global AI in social media market, with a 36% market revenue share in 2024.

Large companies like Meta (Facebook), Google (YouTube), Twitter (X), Instagram, LinkedIn and Snapchat based in this region develop AI systems primarily for content recommendations and targeted advertising. The companies invest massive funds to develop machine learning (ML), deep learning (DL) and natural language processing (NLP) because these technologies optimize user connections and generates superior advertising revenue streams. Academic and tech companies cooperate in research that lets AI algorithms advance steadily to produce better social media application features including personalized content and predictive analysis and automated bots. The extensive digital adoption coupled with extensive social media use generates substantial data availability that enables AI models to operate with higher accuracy for targeted optimization. Significant funding has gone into AI marketing initiatives and e-commerce platform integration to achieve marketing success. The regulatory framework of North America supports ethical AI applications alongside innovation through its measures.

North America Region AI in Social Media Market Share in 2024 - 36%

 

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Component Segment Analysis

The component segment is divided into solutions and services. The solutions segment dominated the market, with a market share of around 75% in 2024. Social media platforms and marketing organizations use AI-based solutions in recommendation systems for advertising, automated content screening and analysis. In addition, platforms apply these solutions to analyse enormous datasets in real time so that content feeds can be personalized, and ads targeted effectively for better user engagement and ROI. AI social media analytics and influencer-marketing solutions have become routine business practices that help companies analyse audience interactions, evaluate marketing campaigns' effectiveness, and find relevant influencers. AI analytics enable businesses to design better marketing strategies through automation while predicting consumer behaviour and safeguarding their digital foothold in times of transition. As AI capabilities on social media platforms continue to develop, this area remains the primary segment driving innovation for the advancement of the market.

Technology Segment Analysis

The technology segment is divided into Machine Learning (ML) & Deep Learning, Natural Language Processing (NLP) and Computer Vision. The Machine Learning (ML) & Deep Learning segment dominated the market, with a market share of around 39% in 2024. Deep learning models optimize the delivery of content by analysing user behaviour, watch time, likes, and other interactions to capture engagement maximization on social media platforms such as Facebook, Instagram, TikTok, and YouTube. Another area of major driver ML and DL is content moderation where computer vision-and NLP-enabled deep learning algorithms are used to detect and filter harmful content, such as hate speech and "fake news", as well as inappropriate images or videos. ML and DL are also found to be the essence of AI-driven chatbots, sentiment analysis, and predictive analytics.

Application Segment Analysis

The application segment is divided into personalization & recommendation, content moderation, customer service & chatbots, influencer marketing and social media analytics. The personalization & recommendation segment dominated the market, with a market share of around 38% in 2024. Personalization and recommendation make a difference in the AI in social media market because these two focused aspects enhance user engagement, content consumption, and the effectiveness of advertisement placement in social media. For businesses and advertisers, this means that AI recommends much better ad targeting and selling effectiveness.

Enterprise size Segment Analysis

The enterprise size segment is divided into large enterprises and small & medium enterprises (SMEs). The large enterprises segment dominated the market, with a share of around 58% in 2024. The control of large enterprises in the AI in social media market results from their substantial investment in sophisticated AI systems and skilled personnel as well as advanced AI infrastructure. Large companies including Meta (Facebook) alongside Google (YouTube) Twitter (X) TikTok and LinkedIn make extensive use of AI technologies to improve content suggestion and conduct automated moderation tasks as well as strengthen their advertising methods. The immense size of these corporations enables their machine learning (ML) and deep learning (DL) models to optimize personalization algorithms through continuous data feedback thereby achieving better user retention results. This sector consists mainly of large organizations since deploying AI systems demands major technological and financial capabilities. R&D innovation through AI receives substantial investment from large enterprise organizations as they establish partnerships with leading universities and AI technology firms to develop new possibilities. Their global scalability of AI-driven solutions makes them lead the AI in social media market.

Industry vertical Segment Analysis

The industry vertical segment is divided into retail & e-commerce, media & entertainment, BFSI (banking, financial services, and insurance), healthcare and Others. The retail & e-commerce segment dominated the market, with a share of around 45% in 2024. The control Retailing and e-commerce lead the AI in social media market due to their sophisticated applications of AI recommendation and targeting advertisements. This sector has a business-centred AI-powered personalization engine that has the capability to recommend products by analysing users' social media activities on Instagram, Facebook, TikTok, and Pinterest. Such platforms work with huge datasets to profile their users employing machine learning algorithms augmented by deep learning algorithms to these fine-grained targeting product recommendations more for sales performance. Companies also leverage AI-based social media analysis to monitor consumer sentiment and detect emerging trends, which allows them to broker their best promotional strategies for optimal results. AI technology enables virtual assistants and chatbots to carry out automated customer communication. The AI chatbot application allows retail operators to give fast customer care and respond to queries and provide purchasing assistance. Through AI, augmented reality functions, and visual search capabilities, shopper enhancement is provided as it allows shoppers to select items by way of pictures shown and virtually try products on. 

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This study forecasts revenue at global, regional, and country levels from 2021 to 2034. The Brainy Insights has segmented the global AI in social media market based on below mentioned segments:

Global AI in Social Media Market by Component:

  • Solutions
  • Services

Global AI in Social Media Market by Technology:

  • Machine Learning (ML) & Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision

Global AI in Social Media Market by Application:

  • Personalization & Recommendation
  • Content Moderation
  • Customer Service & Chatbots
  • Influencer Marketing
  • Social Media Analytics

Global AI in Social Media Market by Enterprise Size:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Global AI in Social Media Market by Industry Vertical:

  • Retail & E-commerce
  • Media & Entertainment
  • BFSI (Banking, Financial Services, and Insurance)
  • Healthcare
  • Others

Global AI in Social Media Market by Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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