Market Size in 2023 | Market Forecast in 2032 | CAGR (in %) | Base Year |
---|---|---|---|
USD 1.62 Billion | USD 17.35 Billion | 30.12% | 2023 |
The global AI in Social Media Market size was worth around $1.62 Billion in 2023 and is predicted to grow to around $17.35 Billion by 2032 with a compound annual growth rate (CAGR) of roughly 30.12% between 2024 and 2032
Artificial intelligence holds the potential to transform the brands market across social networks like Facebook, Instagram, Twitter, and LinkedIn. Artificial Intelligence (AI) in Social Media automate many tedious tasks associated with social media management. In the innovative age of technology, Artificial Intelligence (AI) in Social Media holds the key enhance better company performance and customer satisfaction.
Artificial intelligence (AI) is an area of computer technological advancement that emphasizes the advent of Intelligent /smart machines that react and work like human beings. With the technological advancement in Artificial intelligence, machines have been designed like computers/ Smartphones which can recognize voices and all learn with time.
According to ComScore, when it comes to mobile it accounts for 65 percent of all digital media time, that is actually a big percentage of the share we spend on social media. It is the times spend checking emails, chatting with friends, working, or shopping.
Marketing companies have found that the customer is mobile-first, so with the help of AI, the marketing companies get the customer location and the time spent on a particular brand and so the marketing companies can send an app or push notification so as to update customer order status and promotional offers for their favorite brand thereby encouraging growth for AI market in social media.
With the expansion in the usage of smartphones, availability of mobile applications,s, and improvement the network speed, Smartphones have become a necessity nowadays for almost all kinds of work.
Companies are leveraging social media by AI which will help them give a better understanding of their customer's buying patterns which in turn help them to keep the relevant products and product lines. Companies can then personalize data /content/Products/by getting to know its buying pattern and what motivates them to take that decision as AI can learn at a faster rate than any human the chances of making an error are eliminated and thus AI in social media marketing will tend to grow in much faster rate in the years to come.
However, only hand full of AI experts might hinder AI Technology adoption in the developing economy. The privacy of customer /social media users will be hampered. Through these websites, people are giving their personal information on the internet. These networking sites keep track of all the interactions done on their website and save them for later use.
These can have some serious implications which also include disclosure of a person's location, cyberstalking, 3rd party personal information disclosure, social profiling, and so on. This can pose a major challenge to overcome for AI in Social Media.
In the current years, marketers are all looking for innovative ways to find and attract their ideal customers. Artificial intelligence helps to create posts and manage them all on their own capabilities. It automatically adds hashtags, release the content on every platform and also upload in bulk to get user engagements. According to the research, with AI more than 65% of consumers have started believing companies and have shown higher loyalty that proves Artificial Intelligence has revolutionized the concept of social media marketing in recent years.
Many small & medium scale enterprises and large scale enterprises are using AI in social media platforms to enhance their market presence and attain a competitive edge by analyzing the competition. The AI technology is a suitable solution for customer experience management, sales and marketing management, performance monitoring, and workforce management. It provides functionalities for organizations to get maximum customer engagements. These are some of the prominent factors, which are expected to drive the global artificial intelligence (ai) in social media market growth. On the other hand, the lack of a number of AI experts is expected to limit the market growth.
Report Attributes | Report Details |
---|---|
Report Name | AI in Social Media Market |
Market Size in 2023 | USD 1.62 Billion |
Market Forecast in 2032 | USD 17.35 Billion |
Growth Rate | CAGR of 30.12% |
Number of Pages | 140 |
Key Companies Covered | AWS, Facebook, Google, Adobe Systems, IBM, Baidu ,Twitter, Salesforce, Clarabridge, and Snap, among others |
Segments Covered | By Technology, By Component, By Application, By End-User and By Region |
Regions Covered | North America, Europe, Asia Pacific (APAC), Latin America, Middle East, and Africa (MEA) |
Base Year | 2023 |
Historical Year | 2018 to 2022 |
Forecast Year | 2024 - 2032 |
Customization Scope | Avail customized purchase options to meet your exact research needs. Request For Customization |
On the basis of application, efficient customer experience management needs a complete view of customer interactions that include both traditional channels, such as phone calls and face-to-face meetings, and communications that come through the website, from live chat or sessions with chatbots and from social media. These channels create unstructured data. This means that companies must be able to manage data from different sources in order to extract valuable insight with speed and precision and integrate them with existing customer data.
On the basis of application Customer Experience Management, Predictive Risk Assessment and Sales & Marketing.
By Technology Segment includes Deep Learning & Machine Learning and Natural language processing (NLP).
By Component Segment includes Solutions and Services.
By End-User Segment includes BFSI, Education, Media and Advertising, Retail and E-commerce, Public Utilities and Others.
Effective consumer experience management desires an entire view of client interactions which includes traditional channels like phone calls and communications, face-to-face conferences that come via the internet site, live chat, and social media. These channels create which are then combined with existing customer statistics for further use by the company, which will then contribute to the growth of Ai social media market.
North America has observed huge technological advancement in the recent past which will eventually drive the dependency on mobile phones even more, and so this will drive the growth of AI Compelled by social media marketing in the long run. Asia Pacific region is anticipated to capture a substantial portion of AI in the social media market in the forecast period, due to the increase in the number of smartphone users and internet users in APAC, the growth of this market will be driven by the demand for Smartphones.
A major player in AI in social media Market:
By Technology Segment Analysis
By Component Segment Analysis
By Application Segment Analysis
By End-User Segment Analysis
AI in Social Media Market: Regional Segment Analysis
FrequentlyAsked Questions
AI in social media involves integrating AI technologies and methods into social media platforms and their functions. AI and social media combine to improve user experiences, content discovery, administration, and tailored and relevant interactions.
Accessibility and Volume: Social media AI progress requires vast amounts of user-generated data. Social media usage increases data for AI algorithm training, improving accuracy and personalization.
The Global AI In Social Media Market Size Was Worth USD 1.62 Billion in 2023 and Is Expected To Reach USD 17.35 Billion by the end of 2032, CAGR of 30.12%.
North America has observed huge technological advancement in the recent past which will eventually drive the dependency on mobile phones even more, and so this will drive the growth of AI Compelled by social media marketing in the long run.
A major player in of AI in social media Market is AWS, Facebook, Google, Adobe Systems, IBM, Baidu, Twitter, Salesforce, Clarabridge, and Snap among others.
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