PORTLAND, OR, April 14, 2023 (GLOBE NEWSWIRE) — According to a report published by Allied Market Research, worldwide Artificial Intelligence (AI) in Social Media Marketing generated $992.7 million in 2021, and is estimated to reach $12 billion by 2031, witnessing a CAGR of 28.7% from 2022 to 2031. The report provides detailed analysis of market trends, top segments, key investment regions, landscape chains, change. , and competitive landscape. The report is a useful source of information for leading market players, new entrants, investors and stakeholders to formulate future strategies and take steps to strengthen their position in the market.
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Report coverage and details:
| Report coverage | Details |
| 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 |
| Sections covered | technology, application, enterprise size, industry vertical and region |
| Drivers | Increased integration of AI into social media applications for effective advertising |
| Increasing popularity of AI in social media to provide real-time information on target audience | |
| Increase in data generated through social media platforms | |
| opportunities | Increasing availability of machine learning programs for social networks |
| Restrictions | Data security and privacy concerns |
Covid-19 scenario:
- The COVID-19 pandemic has had a positive impact on the growth of artificial intelligence (AI) in the social media market.
- This is due to the increase in the trend of working from home, which forced employers to use AI-based social media, thus driving the growth of the AI social media market. During the lockdown, people stayed at home and this increased the use of social media.
- Additionally, the pandemic had a significant impact on the advertising industry. Many companies cut their ad spend, leading to an increased focus on ROI and greater reliance on AI-powered advertising tools to help maximize the effectiveness of ad campaigns.
The report provides detailed segmentation of the global artificial intelligence (AI) in social media market based on technology, application, enterprise size, industry vertical, and region. The report provides analysis of each segment and sub-segment with the help of tables and figures. This analysis helps market players, investors, and new entrants to determine the sub-segments to achieve growth in the coming years.
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By technology, the machine learning and deep learning sector accounted for the largest share in 2021, accounting for two-thirds of the global artificial intelligence (AI) in social networking market and will dominate the market in terms of revenue by 2031. The natural language processing (NLP) segment, however, is estimated to witness the fastest CAGR of 29.7% during the forecast period. The report also discusses the segments.
In terms of application, the sales and marketing segment captured the largest market share of over one-third of the global artificial intelligence (AI) in social media market in 2021 and is expected to lead the trail during the forecast period. However, the predictive risk assessment segment is likely to achieve the fastest CAGR of 31.3% by 2031. The report also discusses customer experience management and image recognition segments.
Based on enterprise 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 social networking market and will 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.
On an industry vertical basis, the BFSI segment will account for the largest share in 2021, accounting for nearly a quarter of the global artificial intelligence (AI) in social media market. The retail and e-commerce segment, however, will dominate the market in terms of revenue and will witness the fastest CAGR of 31.7% during the forecast period. The report also provides analysis of IT & Telecom, Media & Advertising, Education, and other segments.
On the basis of region, North America was the largest market in 2021, accounted for nearly two-fifths of the global artificial intelligence (AI) in social media market and is likely to maintain its dominance over the forecast period. However, the market in Asia-Pacific is expected to reveal the highest CAGR of 31.7% from 2022 to 2031. Other regions analyzed in the study include Europe and LAMEA.
Major players in the Global Artificial Intelligence (AI) in Social Media Market analyzed in the research include Baidu, Facebook, IBM Corporation, Microsoft Corporation, Adobe, Snap, Inc. (Snapchat), Amazon Web Services, Inc., Google LLC (Alphabet). ), Salesforce, Inc., and Hootsuite, Inc.
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The report analyzes these key players in the Global Artificial Intelligence (AI) in Social Media Market. These players have adopted various strategies such as expansions, new product launches, partnerships, and others to increase their market penetration and strengthen their position in the industry. The report is helpful in determining business performance, operating segments, product portfolio, and development by each market player.
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 unmatched quality to global enterprises as well as medium and small businesses”Market research reports” and “Business Intelligence Solutions.” AMR has a targeted approach to providing business insights and consulting to help its clients take strategic business decisions and achieve sustainable growth in their respective market domains.
We have professional corporate relationship with various companies and it helps us to dig market data which helps us to generate accurate research data tables and confirms utmost accuracy in our market forecast. Pawan Kumar, CEO of Allied Market Research, has been instrumental in inspiring and motivating everyone associated with the company to maintain high quality of data and help clients achieve success in every possible way. Each and every data presented in the reports published by us is extracted through primary interviews with top executives of leading companies in respective domains. Our secondary data procurement methodology includes in-depth online and offline research and discussions with knowledgeable industry professionals and analysts.
