Market Forecast By Technology (Machine Learning and Deep Learning, Natural Language Processing (NLP)), By Application (Sales and Marketing, Customer Experience Management, Predictive Risk Assessment), By Enterprise Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), By End-user (Retail and eCommerce, Banking, Financial Services, and Insurance (BFSI), Media and Advertising, Education, Public Utilities, Others), By Component (Platform , Services) And Competitive Landscape
Product Code: ETC4413876 | Publication Date: Jul 2023 | Updated Date: Aug 2025 | Product Type: Report | |
Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 70 | No. of Figures: 35 | No. of Tables: 3 |
Report Name | Australia AI In Social Media Market |
Forecast period | 2025-2031 |
CAGR | 5.1% |
Growing Sector | Marketing |
Australia AI in Social Media Market report thoroughly covers the market by, Technology, Application Enterprise Size, End –user and Component. The market outlook report provides an unbiased and detailed analysis of the ongoing market trends, opportunities/high growth areas, and market drivers which would help the stakeholders to devise and align their market strategies according to the current and future market dynamics.
Australia AI in Social Media Market is growing at a rapid pace, and the adoption of AI technologies by social media platforms has changed the way people consume and interact with content. Artificial intelligence (AI) has revolutionized the world of technology, and its influence can be seen in various industries. Social media is one such sector that has been greatly impacted by AI. With billion users worldwide, social media platforms have become a major source of information and communication for individuals and businesses alike.
According to 6Wresearch, the Australia AI in Social Media Market size is projected to grow at the CAGR of 5.1% during the forecast period of 2025-2031. The primary driver for the adoption of AI technology in social media is its ability to analyze vast amounts of data at lightning-fast speeds and provide actionable insights. With the increasing amount of user-generated content being shared on social media platforms, businesses are finding it challenging to keep up with the volume and make sense of it all. AI algorithms can process this data in real-time, identifying patterns and trends that would be impossible for humans to detect. This allows businesses to gain valuable insights into customer behavior and preferences, helping them tailor their marketing strategies to better engage with their target audience. Another key driver for AI adoption in social media is the need for businesses to stay competitive. With more and more companies utilizing AI-powered tools to gain a competitive edge, those who do not embrace this technology risk falling behind. In Australia's highly digitized market, businesses that do not leverage AI in their social media marketing strategies may struggle to reach and engage with their target audience effectively, ultimately reducing their growth and Australia AI in Social Media Market Share. There are certain challenges present in the market. One of the significant challenges is the cost associated with implementing this technology. AI-powered tools can be costly, and smaller businesses may struggle to afford them. Additionally, the training and maintenance of these systems require skilled professionals, adding to the overall cost. Another challenge is ensuring the ethical use of AI in social media. As we have seen with recent controversies surrounding data privacy and algorithm bias, there is a growing concern about the ethical implications of AI in social media. Businesses must have strict policies and regulations in place to govern the use of AI and ensure that it is not used to manipulate or deceive consumers. This is crucial for maintaining trust and credibility with customers.
The government has recognized the potential of AI in transforming the social media landscape and has taken steps to promote development and Australia AI in Social Media Market Growth. With policies that incentivize innovation and investment in AI technologies, Australia aims to become a leader in this field. Initiatives such as the Digital Economy Strategy highlight the government’s commitment to supporting the integration of AI in various sectors, including social media. Additionally, the government has also launched schemes such as the Cooperative Research Centres (CRC) Program which supports collaborative research and development in AI and social media technologies. These efforts are expected to fuel growth in the AI in social media market in Australia and attract more investments from both domestic and international players.
The Australia AI in Social Media Industry is witnessing significant growth, with key players such as Canva, Appen, and Linktree at the forefront of the industry. Canva, a graphic design platform with AI-powered features, has revolutionized the way social media content is created, offering users the ability to design highly engaging visual content with ease. Appen provides high-quality training data to improve machine learning algorithms used in social media, enhancing the user experience through more relevant content curation and personalized feeds. Meanwhile, Linktree has leveraged AI to help users manage their online presence efficiently on various social platforms.
The future of the AI in Social Media market in Australia is poised for substantial progression. As machine learning algorithms become increasingly sophisticated, social media platforms will be able to offer more personalized experiences, smarter content recommendations, and enhanced user engagement. Moreover, the market is expected to witness a boom in startup activity focused on AI products designed for social media analytics and customer engagement. This growth trajectory signifies that AI will continue to fundamentally transform social media dynamics, underpining the importance of Australia’s strategic investments and policy frameworks in nurturing innovations and maintaining a competitive edge in this sector.
According to Dhaval, Research Manager, 6Wresearch, one of the key technologies driving this growth is Machine Learning (ML) and Deep Learning (DL). ML and DL algorithms are capable of analyzing vast amounts of data and learning from it to make informed decisions. In the social media space, this technology is primarily used for content recommendation, personalized advertising, and sentiment analysis.
On the basis of applications of AI in social media, sales and marketing are expected to be the leading segment. This includes using AI-powered tools for lead generation, customer segmentation, and predictive analytics for targeted advertising.
The report offers a comprehensive study of the subsequent market segments:
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Australia AI in Social Media Market Overview |
3.1 Australia Country Macro Economic Indicators |
3.2 Australia AI in Social Media Market Revenues & Volume, 2021 & 2031F |
3.3 Australia AI in Social Media Market - Industry Life Cycle |
3.4 Australia AI in Social Media Market - Porter's Five Forces |
3.5 Australia AI in Social Media Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.6 Australia AI in Social Media Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.7 Australia AI in Social Media Market Revenues & Volume Share, By Enterprise Size, 2021 & 2031F |
3.8 Australia AI in Social Media Market Revenues & Volume Share, By End-user, 2021 & 2031F |
3.9 Australia AI in Social Media Market Revenues & Volume Share, By Component , 2021 & 2031F |
4 Australia AI in Social Media Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for personalized customer experiences |
4.2.2 Growing adoption of social media platforms in Australia |
4.2.3 Advancements in AI technology leading to improved social media analytics |
4.3 Market Restraints |
4.3.1 Data privacy concerns impacting AI implementation in social media |
4.3.2 Lack of skilled professionals in AI and social media integration |
4.3.3 Regulatory challenges related to AI usage in social media |
5 Australia AI in Social Media Market Trends |
6 Australia AI in Social Media Market, By Types |
6.1 Australia AI in Social Media Market, By Technology |
6.1.1 Overview and Analysis |
6.1.2 Australia AI in Social Media Market Revenues & Volume, By Technology, 2021-2031F |
6.1.3 Australia AI in Social Media Market Revenues & Volume, By Machine Learning and Deep Learning, 2021-2031F |
6.1.4 Australia AI in Social Media Market Revenues & Volume, By Natural Language Processing (NLP), 2021-2031F |
6.2 Australia AI in Social Media Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Australia AI in Social Media Market Revenues & Volume, By Sales and Marketing, 2021-2031F |
6.2.3 Australia AI in Social Media Market Revenues & Volume, By Customer Experience Management, 2021-2031F |
6.2.4 Australia AI in Social Media Market Revenues & Volume, By Predictive Risk Assessment, 2021-2031F |
6.3 Australia AI in Social Media Market, By Enterprise Size |
6.3.1 Overview and Analysis |
6.3.2 Australia AI in Social Media Market Revenues & Volume, By Small and Medium-sized Enterprises (SMEs), 2021-2031F |
6.3.3 Australia AI in Social Media Market Revenues & Volume, By Large Enterprises, 2021-2031F |
6.4 Australia AI in Social Media Market, By End-user |
6.4.1 Overview and Analysis |
6.4.2 Australia AI in Social Media Market Revenues & Volume, By Retail and eCommerce, 2021-2031F |
6.4.3 Australia AI in Social Media Market Revenues & Volume, By Banking, Financial Services, and Insurance (BFSI), 2021-2031F |
6.4.4 Australia AI in Social Media Market Revenues & Volume, By Media and Advertising, 2021-2031F |
6.4.5 Australia AI in Social Media Market Revenues & Volume, By Education, 2021-2031F |
6.4.6 Australia AI in Social Media Market Revenues & Volume, By Public Utilities, 2021-2031F |
6.4.7 Australia AI in Social Media Market Revenues & Volume, By Others, 2021-2031F |
6.5 Australia AI in Social Media Market, By Component |
6.5.1 Overview and Analysis |
6.5.2 Australia AI in Social Media Market Revenues & Volume, By Platform , 2021-2031F |
6.5.3 Australia AI in Social Media Market Revenues & Volume, By Services, 2021-2031F |
7 Australia AI in Social Media Market Import-Export Trade Statistics |
7.1 Australia AI in Social Media Market Export to Major Countries |
7.2 Australia AI in Social Media Market Imports from Major Countries |
8 Australia AI in Social Media Market Key Performance Indicators |
8.1 Customer engagement metrics (e.g., likes, shares, comments) |
8.2 Sentiment analysis accuracy of AI algorithms |
8.3 Average response time to customer queries on social media |
8.4 Rate of adoption of AI-powered social media tools by businesses |
9 Australia AI in Social Media Market - Opportunity Assessment |
9.1 Australia AI in Social Media Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.2 Australia AI in Social Media Market Opportunity Assessment, By Application, 2021 & 2031F |
9.3 Australia AI in Social Media Market Opportunity Assessment, By Enterprise Size, 2021 & 2031F |
9.4 Australia AI in Social Media Market Opportunity Assessment, By End-user, 2021 & 2031F |
9.5 Australia AI in Social Media Market Opportunity Assessment, By Component , 2021 & 2031F |
10 Australia AI in Social Media Market - Competitive Landscape |
10.1 Australia AI in Social Media Market Revenue Share, By Companies, 2024 |
10.2 Australia AI in Social Media Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |