The market size value of artificial intelligence is rapidly increasing, currently valued at $390.91b it estimated that it will rise up to $1,811.75 billion by 2030. As insights from 2024 demonstrate, companies that are actively leveraging AI for their marketing strategies are gaining a distinct competitive advantage. This isn’t just about automation; it’s about strategic enhancement across core business functions.
Take a look at some statistics on AI usage for marketing strategies to see how most marketers use these AI tools for marketing and how they believe AI can help boost their productivity.
The Widespread Use of AI In Marketing, Content Creation & SEO
Right now, 69% of marketers are using AI to improve their marketing strategies and the results are impressive — 66% of those using AI are very likely to create successful marketing strategies.
34% of the marketers saw a positive outcome from their AI-driven marketing campaigns, it is likely that AI usage will continue to grow in areas like marketing, content creation, and SEO.
Source: Influencer Marketing Hub
In 2024, Most Marketers Used AI For:
- Content Production (44%)
- Generative AI (42%)
- Email Marketing (63%)
- Lead Generation (55%)
Marketers Believe In Utilizing AI:
- For ideas and inspiration (45%)
- To create outlines (31%)
- To draft content (18%)
- To write content (6%)
Here’s what most marketers had to say about the usage of AI in marketing:
- Marketers save 3 hours for each piece of content and 2.5 hours each day by using AI tools.
- 70% of marketers think that AI can outperform humans in key marketing tasks.
- 60% of marketers who use generative AI worry that it can replace them.
- 64% of businesses expect to see an improve in productivity using AI.
Conclusion
When it comes to the use of AI, we can conclude that artificial intelligence (AI) is transforming many aspects of marketing. Based on the latest facts about the usage of AI, marketers need to consider how to use AI in their marketing campaigns moving forward.
Sources: Influencer Marketing Hub, Grand View Research, Stanford’s AI Index, Global Market Insights, McKinsey, IBM, Google.
