Leverage the latest statistics in AI marketing to stay ahead of the curve in increasingly competitive markets. Revolutionize the way you reach and engage your customers by integrating AI into your marketing strategies. Here, we go through statistics that indicate new trends and forecasts in AI marketing that include hyper-personalized content, predictive analytics, and generative AI. Learn how to use AI-driven insights to take your marketing game to the next level.
Top AI Marketing Statistics to Leverage Your Marketing Strategy:
Top AI Marketing Statistics and How to Leverage Them for Digital Marketing
Industry Impact of AI
The use of artificial intelligence (AI) is becoming more prevalent across all industries. Most business leaders now believe that AI will be a crucial factor to the future success of any business regardless of size and industry.
These are the latest statistics that indicate its growing adoption and critical role in various industries.
1. Today, 35% of businesses use AI.
In the Global AI Adoption Index released by IBM in 2022, 35% of businesses reported using AI in their processes. As much as 42% of the respondents also indicated that their companies are exploring AI and how to integrate it into their business, showing the steady growth of AI adoption.
2. Generative AI adoption is highest in marketing and advertising.
A recent survey shows that the adoption of generative AI is highest in the marketing and advertising sector. Of the 4,500 respondents, 37% of those working in marketing and advertising indicated that they have used AI in their tasks. The other two sectors showing increased use of AI are technology (35%) and consulting (30%).
3. 91% of Fortune 1000 companies are increasing investments in AI.
Results from NVP’s Data and AI Leadership Executive Survey in 2022 suggest that companies are getting more economic value from AI, resulting in increased investments on the technology. Of the 94 Fortune 1000 companies that responded in the survey, 91.7% stated that they were increasing investments in AI and data this year. Moreover, 26% confirmed that their company already has AI systems deployed throughout their organizations. This number is more than twice that of 12.1% of companies with AI systems in widespread production last year.
4. 1 out of 2 businesses see benefits from using AI.
According to the IBM Global AI Adoption Index 2022, approximately half of the organizations surveyed are seeing benefits from using AI to automate IT, business, or network processes. Among the top benefits reaped from using AI are cost savings and efficiencies (54%), improvements in IT or network performance (53%), and better experiences for customers (48%).
5. In the next five years, 74% of marketers will be using AI automation in more than a quarter of their tasks.
The 2022 State of Marketing and Sales AI Report shows that 77% of marketers are already using AI automation to some degree in less than a quarter of their tasks. In the next five years, about 74% expect more than a quarter of their tasks to be intelligently automated. With a large majority of marketers anticipating an increased application of AI-powered automation in their processes, we’re likely to see AI becoming a ubiquitous part of marketing stacks.
6. In 2022, advertising and media accounted for 22% of the AI market share.
Rising AI adoption in marketing use cases fueled the growth of the advertising and media segment in the AI market. The recent report by Precedence Research shows that this segment captured 22% of the global AI market dominating all other sectors. While healthcare is expected to bump advertising and media from the top spot, the increased adoption of AI in sales and marketing will still keep a big chunk of the global AI pie for the ad and media segment.
7. 42% of businesses are using AI to reduce costs.
With 54% of businesses reporting cost savings and efficiency while using AI, it appears to be the largest benefit of AI adoption in businesses. This financial incentive is also among the top reasons for exploring AI adoption. In fact, the Global AI Adoption Index shows that 42% of businesses are using AI primarily to reduce costs.
Key Areas Where AI Marketing Play a Pivotal Role
From AI customer data platforms to generative AI tools, AI is transforming how marketers perform their tasks. These statistics give us a glimpse of how AI marketing is revolutionizing the marketing industry.
8. 60% of survey respondents have used AI in their marketing operations.
In a survey conducted by Influencer Marketing Hub, 60% of the 2700 respondents indicated that they have used AI in their marketing operations. Of these, most have used the technology for content production. While less prevalent, AI has also been used in conversion optimization, predictive analytics, and customer service.
9. 26% of businesses are applying AI techniques such as NLP to marketing and sales.
According to the IBM Global AI Adoption Index 2022, marketing and sales are among the top five sectors where businesses are applying AI techniques such as natural language processing, AI automation, and predictive analytics. Other sectors seeing rapid AI adoption are IT processes automation, security and threat detection, business processes automation, and business analytics or intelligence.
10. 51% of marketers say that AI is important to their marketing success.
More than half of the marketers who responded to a survey say that AI is critically important or very important to their marketing success over the next 12 months. They also foresee the massive impact AI will have on marketing automation in the next five years. Approximately 41% of these marketers believe that more than half of their tasks will soon be automated by AI.
11. 41% of businesses use AI to create personalized consumer experiences.
The three key areas where marketers are focusing the use of AI are personalization, revenue acceleration, and data analytics. While 41% of the marketers who responded in a survey say that they were using AI to create personalized consumer experiences, 40% use AI to accelerate revenue and 40% also use AI to generate actionable insights from marketing data.
12. To improve customer experience, 60% of marketers use AI to predict customer behavior and needs.
AI is also widely used to improve customer experience (CX). Among the most popular uses of AI for CX is predicting customer behavior and needs. About 3 of 5 marketing professionals use the technology to understand their customers better and deliver more personalized experience. About 47% of a 2023 survey’s respondents also said that their company uses AI to uncover frequent customer journeys. Surprisingly, only about 23% use AI to improve chatbots, trading bots, and other MQLs.
13. In marketing, the leading benefit of AI is time savings.
In a July 2022 survey, 33% of marketing professionals in the United States using AI and machine learning said that the leading benefit from the use of these tools was time saved. The same survey shows that 31% of marketers found AI and ML helpful in understanding trend insights, audience preferences, and their behaviors. At least 26% also found these tools beneficial in improving and optimizing content.
14. 47% of marketers trust AI to target ads.
Ad targeting, content personalization, and email optimization are the top activities marketers worldwide trust AI to carry out. Almost half of Statista survey respondents said they trusted AI to target ads. About 42% trust AI to personalize content and offers in real time and 39% trust it to optimize email send time.
15. 32% of marketers use AI along with marketing automation for paid advertising.
To maximize the results gained from the use of technology, marketers typically use them in conjunction with each other. Two of those that are often used together are AI and marketing automation. Among the leading areas these two technologies enhance are paid advertising and email personalization. A Statista report shows that 32% of survey respondents harness AI and marketing automation to optimize the performance of paid advertising. The survey also shows that both are leveraged for the personalization of email messages, email subject lines, and email offers.
Barriers to AI Adoption in Marketing
While the use of AI has now become more prevalent, there are challenges that hamper its wide scale adoption in the field of marketing. Here are some statistics on the barriers that slow down AI marketing.
16. Risk and governance issues are the leading challenges in the use of AI in marketing.
In a July 2022 survey of marketing professionals in the United States, 35% said that their leading challenges in using AI and ML in their marketing programs were risk and governance issues. Difficulty in the use and deployment of technological tools and the steep costs they entail also pose challenges for marketers.
17. 45% of marketers consider themselves beginners when it comes to AI marketing.
Another factor that holds back the adoption and implementation of AI in marketing is the lack of confidence of marketers in their AI knowledge and capabilities. Nearly half of sales and marketing professionals classify themselves as beginners. Of all those who responded to a survey, only 29 percent believe that they are highly capable of implementing AI solutions. This seeming lack of confidence sets an obstacle to achieving real-world outcomes with AI marketing.
18. 63% of marketers say that lack of education and training is the biggest barrier to AI adoption in marketing.
While about 1 out of 5 marketers fear AI, the biggest barrier to AI adoption is apparently the lack of education and training, not fear. In the 2022 State of Marketing and Sales AI Report, 63% of the respondents aren’t adopting AI because they feel that they don’t have enough knowledge and training to use the technology. About 52% also say that the lack of awareness of the capabilities and use cases of AI are stopping them from implementing the technology in their marketing processes. Other barriers cited in the survey are inadequate talent pool, lack of strategy, and mistrust of AI.
19. Only 11% of marketers say their companies have formal AI-focused education and training.
In the Drift survey, 8 of 10 respondents say that their company still does not have education and training focused on the use of AI in marketing. Only 11% have existing programs for training their marketers. This inadequacy in training is likely the primary cause of low confidence in the application of AI tools.
20. 34% of survey respondents list limited AI skills, expertise, or knowledge as the top things that hinder AI adoption.
The IBM Global AI Adoption Index 2022 revealed five barriers to AI adoption for businesses. Leading the list is the limitations in skills, expertise, and knowledge of AI. Other factors that hinder the successful adoption and implementation of AI are prices that are too high, there’s a lack of tools or platforms for development, the complex integration and scaling of AI projects, and too much data complexity.
AI has Significant Impact on the Future of Marketing
Today, AI is already revolutionizing the marketing industry, and it is expected to continue doing so in the next few years. It will have significant impact in marketing automation, content hyper-personalization, predictive analytics on customer behavior, real-time insights on customer data, and search optimization, among many other elements in marketing.
Once barriers to adoption are overcome, we will likely see more businesses successfully implementing AI marketing to boost growth.
Frequently Asked Questions
What are the benefits of AI for marketing?
When used in marketing, AI brings a host of benefits that include but aren’t limited to automating marketing tasks, creating and optimizing marketing content, predicting customer behavior, analyzing customer data, generating real-time analytics, and improving efficiency in almost every process. By leveraging AI, marketing professionals can make data-driven decisions that allow them to maximize outcomes in every campaign they run.
How can AI best be used in marketing?
AI can be integrated in every aspect of marketing. In campaigns, they can be used to enhance every process from end-to-end. Some of the most effective uses of AI in marketing are in tasks that involve large amounts of data. These include ad targeting and analysis, predictive marketing analytics, email marketing, content moderation, social media listening, and conversational customer experiences.
What ethical concerns of AI should digital marketers be aware of?
While AI brings a plethora of benefits, digital marketers must be aware of ethical concerns that surround the use of AI in marketing. These include, but are not limited to, biases in algorithms, the misuse of customer data, privacy concerns, disinformation, and disregard of user preferences. To build trust with customers, businesses must ensure that they are not violating any of their customers’ rights as they use AI in marketing.
