PORTLAND, Ore., April 14, 2023 (GLOBE NEWSWIRE) — According to a report published by Allied Market Research, Artificial intelligence (AI) in the social media market will generate $992.7 million in 2021 and is estimated to reach $12 billion by 2031, at a CAGR of 28.7% from 2022 to 2031. The report provides an in-depth analysis of changing market dynamics, top segments, key investment pockets, value chains and regional landscapes. , and conflict scenarios. This report is a helpful source of information for leading market players, new entrants, investors, and stakeholders to devise future strategies and take steps to strengthen their market position.
Request a sample report: https://www.alliedmarketresearch.com/request-sample/5971
Report scope and details:
| report coverage | detail |
| Forecast period | 2022–2031 |
| base year | 2021 |
| Market size in 2021 | $992.7 million |
| Market size in 2031 | $12 billion |
| CAGR | 28.7% |
| number of pages in the report | 347 |
| Target segment | Technology, application, company size, industry, region |
| driver | Increasing integration of AI into social media applications for effective advertising |
| Growing Popularity of AI in Social Media Providing Real-Time Information About Target Audiences | |
| Explosion of data generated through social media platforms | |
| chance | Increased availability of machine learning programs for social media |
| Restraint | Data security and privacy concerns |
Covid-19 Scenario:
- The outbreak of the COVID-19 pandemic has positively impacted the growth of artificial intelligence (AI) in the social media market.
- This is because the growing trend of working from home has forced employers to use AI-based social media, thereby driving AI in the growth of the social media market. People stayed home during the lockdown, which led to increased use of social media applications.
- Additionally, the pandemic has had a huge impact on the advertising industry. As more companies cut their advertising spend, ROI becomes more of a concern and a greater reliance on AI-powered advertising tools to maximize the effectiveness of advertising campaigns.
This report provides an in-depth segmentation of the global artificial intelligence (AI) in social media market based on technology, application, company size, industry vertical, and region. This report provides an analysis of each segment and sub-segment using tables and charts. This analysis will help market players, investors, and new entrants to determine which sub-segments to utilize to achieve growth in the coming years.
Procurement Completion Report (347-page PDF with insights, charts, tables, and diagrams) and:
https://www.alliedmarketresearch.com/artificial-intelligence-in-social-media-market/purchase-options
Based on technology, the machine learning and deep learning segment will account for the largest share in 2021, accounting for two-thirds of the global artificial intelligence (AI) in the social media market, and growing the market in terms of revenue by 2031. will dominate the The natural language processing (NLP) segment, however, is estimated to witness the fastest he CAGR of 29.7% during the forecast period. The report also describes segments.
In terms of applications, the sales and marketing segment is expected to lead the trail during the forecast period, capturing the largest market share of over one-third of the global artificial intelligence (AI) in the social media market in 2021. . However, the forecast risk assessment segment is likely to achieve the fastest he CAGR of 31.3% by 2031. The report also covers the Customer Experience Management and Image Recognition segments.
Based on company size, the large enterprise segment will account for the largest share in 2021, accounting for more than half of the global artificial intelligence (AI) in the social media market, and dominate the market in terms of revenue by 2031. . Small and medium enterprises (SMEs) segment, however, is estimated to witness the fastest CAGR of 29.5% during the forecast period.
By industry, the BFSI segment will hold the largest share in 2021, accounting for nearly a quarter of the global artificial intelligence (AI) in the social media market. However, the retail and e-commerce segment will dominate the market in terms of revenue, witnessing the fastest he CAGR of 31.7% during the forecast period. The report also provides analysis of IT & Telecom, Media & Advertising, Education, and Other segments.
Based on region, the North American market will be the largest in 2021, accounting for almost two-fifths of the global artificial intelligence (AI) in social media market, and is likely to maintain its dominance during the forecast period. there is. However, the Asia-Pacific market is expected to exhibit the highest CAGR of 31.7% from 2022 to 2031. Other regions analyzed in the study include Europe and his LAMEA.
Major players of the global artificial intelligence (AI) in social media market analyzed in the study include Baidu, Facebook, IBM Corporation, Microsoft Corporation, Adobe, Snap, Inc. (Snapchat), Amazon Web Services, Inc., Google LLC (Alphabet), Salesforce, Inc., Hootsuite, Inc.
Pre-purchase inquiry: https://www.alliedmarketresearch.com/purchase-enquiry/5971
The report analyzes these major players of the global artificial intelligence (AI) in the social media market. These players are adopting various strategies such as expansion, new product launches, and partnerships to increase their market penetration and strengthen their position in the industry. This report helps determine the performance, business segments, product portfolios and developments by all market players.
about us
Allied Market Research (AMR) is the full-service market research and business consulting arm of Allied Analytics LLP, based in Portland, Oregon. Allied Market Research provides unparalleled quality “market research reportAMR has a targeted view to provide business insight and consultancy to help clients make strategic business decisions and achieve sustainable growth in their respective market domains. I have.
We have professional corporate relationships with various companies that help us mine market data, generate accurate research data tables and help ensure the highest accuracy in our market forecasts. Pawan Kumar, CEO of Allied Market Research, is committed to inspiring and encouraging everyone associated with the company to maintain high quality data and help clients succeed in every way possible doing. All data presented in the reports we publish are extracted through primary interviews with the heads of major companies in the domain concerned. Our secondary data sourcing methods include in-depth online and offline research and discussions with knowledgeable industry experts and analysts.
