Artificial intelligence (AI) is transforming industries at breakneck speed.
From soaring market valuations to fast-growing adoption rates, the following 79 AI statistics and trends (with sources) paint a comprehensive picture of AI’s impact.
These data points cover market growth, business adoption, workforce effects, marketing uses, ethics, leading technologies, and expert forecasts.
Together, they reveal why staying on top of AI is crucial for any marketer in 2025.
Most Important AI Statistics
- AI is forecast to add $15.7 trillion to the global economy by 2030 (PwC 2023).
- The global AI market reached $638.23 billion in 2024 (Precedence Research 2025).
- Analysts forecast the AI market will surpass $1.81 trillion in 2030 alone (Grand View Research 2024).
- The global market size of the generative AI sector alone hit $25.86 billion in 2024 (Precedence Research 2025).
- Up to 30% of the hours worked across the U.S. economy could be AI-automated by 2030 (McKinsey 2023).
- An estimated 92 million jobs will be displaced by 2030, resulting in a net gain of 78 million jobs (World Economic Forum 2025).
- About 72% of companies now use AI in some capacity (McKinsey 2024).
- Nearly 50%, or a record $97 billion, of the $209 billion in total funding raised by U.S. startups in 2024 went to AI-related companies (Entrepreneur 2025).
- OpenAI (the company behind ChatGPT) is seeking a valuation of up to $300 billion as of early 2025 (Investopedia 2025).
- According to Semrush traffic analytics data, ChatGPT crossed the 100 million unique visitors mark in February 2023 after being launched on Nov. 30, 2022.
- During ChatGPT’s first year, unique visitors peaked in May at 191.5 million. One year after launch, in November 2023, their page with the chat functionality had 219.7 million unique visitors.
- In May 2024, OpenAI moved the chat functionality from chat.openai.com to chatgpt via a 308 redirect, and in March 2025, it had 525.9 million unique visitors.
- Claude had 15.1 million unique visitors in March 2025, i.e. only 2.9% of the visitors to ChatGPT.
- ChatGPT captured roughly 62.5% of the consumer AI tool market by late 2024 (Backlinko 2025).
- 43% of U.S. adults aged 18-29 have used ChatGPT (Backlinko 2025).
Why These Stats Matter
These statistics highlight AI’s immense economic impact. For marketers, the message is clear: AI is no longer a niche trend; it’s mainstream.
To stay competitive, it’s vital to adopt AI.
Artificial Intelligence Growth Statistics
- From 2023 to 2024, the AI market grew by $122.92 billion (Precedence Research 2025).
- The generative AI segment is projected to grow 24.4% annually (Semrush and Statista 2025).
- Worldwide spending for generative AI is estimated to reach $644 billion in 2025—a 76.4% growth increase compared to 2024 (Gartner 2025).
- Analysts estimate that AI could add 1.3% to annual productivity growth over the next decade (Goldman Sachs 2024).
- According to Semrush data, unique visitors to chatgpt.com grew by 45% from May 2024 (284.8 million) to March 2025 (535.9 million).
- ChatGPT referrals to websites grew from less than 10,000 domains/day in July 2024 to more than 30,000 by November.
- Funding of AI-related companies grew to $100 billion in 2024, which marks an 80% increase compared to 2023 (Crunchbase 2025).
- In Q1 2025 alone, AI-focused startups raised 35% more capital than in Q4 2024 ($59.6 versus $44 billion).
- OpenAI raised a staggering $40 billion in funding in Q1 2025—six times the amount raised in Q4 2024 ($6.6 billion) and the biggest funding round of all time (Crunchbase 2025).
- OpenAI competitor Anthropic raised $4.5 billion in funding in Q1 2025, marking a 12.5% increase of the $4 billion raised in Q4 2024.
Why These Stats Matter
These growth statistics show that companies behind AI technologies like OpenAI and Anthropic have experienced unprecedented user growth and funding.
As most businesses integrate AI through these technologies, adopting ChatGPT, Claude, or Gemini is increasingly important.
AI Statistics for Business
- Nearly 49% of technology leaders say AI is fully integrated into their core business strategy (PwC 2025).
- Sixty-seven percent of small businesses use AI for content marketing and SEO (Semrush 2024).
- Sixty-five percent of companies report better SEO results when using AI (Semrush 2024).
- Sixty-five percent of companies regularly used generative AI in 2024 (McKinsey 2024).
- Just 26% of companies have developed the necessary capabilities to move beyond proofs of concept and generate tangible value from AI (BCG 2024).
- The global market size for AI in manufacturing was $5.94 billion in 2024 (Precedence Research 2025).
- The global market size for AI in telecommunication was $1.89 billion in 2024 (Precedence Research 2025).
- The global market size for AI in retail was $11.83 billion in 2024 (Precedence Research 2025).
- The global market size for AI in healthcare was $26.69 billion in 2024 (Precedence Research 2025).
- The global market size for AI in automotive was $4.29 billion in 2024 (Grand View Research 2024).
- The global market size for AI in finance was $31.54 billion in 2024 (Verified Market Research 2025).
Why These Stats Matter
These statistics confirm that AI is integral to current business operations. AI adoption is essential for companies to remain competitive in today’s market.
AI Adoption Statistics and the Job Market
- Fifty-two percent of U.S. workers say they’re worried about AI’s future impact on jobs (Pew Research 2025).
- Seventy-three percent of AI experts believe AI will have a positive impact on jobs, but only 23% of U.S. adults agree (Pew Research 2025).
- Jobs demanding AI specialist skills can command up to a 25% wage premium (PwC 2024).
- Fifty percent of organizations participating in a survey now deploy AI across two or more business functions (McKinsey 2024).
- The number of jobs requiring AI specialist skills has grown 3.5 times faster than all jobs since 2016 (PwC 2024).
- Between 20-40% of workers use AI at work. The rate is higher in fields such as computer programming (Federal Reserve 2025).
- People aged 18-34 are twice as likely to use AI at work than those aged 55-74 (European Central Bank 2025).
- By 2030, AI is estimated to require workers to change 70% of the skills used in most jobs (LinkedIn 2025).
- Through 2027, generative AI will require 80% of the engineering workforce to upskill, as new roles in software engineering and operations emerge (Gartner 2024).
- Over 90% of executives expect to spend more on AI in the next three years (McKinsey 2025).
Why These Stats Matter
These adoption statistics show AI is transforming the workforce. Marketers should note that AI is becoming increasingly integrated into business functions, and learning AI skills can help future-proof careers.
If you’re willing to learn new skills that add value in a hybrid human-AI-workforce, you’ll likely be among the winners of tomorrow’s job market.
AI Marketing Statistics
- Eighty-eight percent of marketers use AI in their day-to-day roles (SurveyMonkey 2024).
- Over 50% of marketing teams use AI to optimize content (SurveyMonkey 2024).
- Over 70% of marketers believe AI can outperform humans in key marketing tasks (Influencer Marketing Hub 2024).
- Nearly 20% of marketers have allocated more than 40% of their marketing budget to AI-driven campaigns (Influencer Marketing Hub 2024).
- Over 25% of marketers report that AI-generated content is more successful than content created without AI (CoSchedule 2025).
- Nearly 75% of Marketers feel AI gives them a competitive advantage (CoSchedule 2025).
- Eighty-five percent of marketing professionals find AI at least somewhat successful in achieving their marketing objectives (Ascend2 2025).
Why These Stats Matter
These statistics show that AI is embedded in daily marketing practices.
Marketers aren’t just using AI; they believe it’s delivering real value, from optimizing content to outperforming humans in certain marketing tasks.
Embracing AI is essential for marketers to remain effective and efficient in a rapidly evolving landscape.
User Trust, AI Ethics, and Risk Management
- Only 47% of people globally believe that AI companies protect personal data (Stanford University 2025).
- Over 40% of current AI users say they trust the information provided by AI tools (Attest 2025).
- Only about 14% of those users “completely” trust AI-generated information (Attest 2025).
- Nearly 40% of adults have experimented with generative AI (50% of Gen Z/Millennials vs. 22% of Baby Boomers) (Deloitte 2024).
- Eighty-five percent of people took at least one action on data security concerns in the past year (up from 79% in 2023) (Deloitte 2024).
- Of surveyed IT professionals, 31% trust AI-driven IT systems to make autonomous decisions without human oversight, whereas 44% don’t (ITSM 2024).
- Seventy percent of Australians surveyed believe AI regulation is necessary, whereas only 30% think current laws and safeguards are adequate to make AI use safe (KPGM 2025).
- Only 13% of organizations report hiring AI ethics specialists to address responsible AI development (McKinsey 2025).
- LLMs designed to be explicitly unbiased, such as GPT-4 and Claude 3 Sonnet, continue to demonstrate implicit bias by, for example, favoring men for leadership roles (Stanford University 2025).
Why These Stats Matter
Three key challenges emerge from these statistics on AI user trust, ethics, and risk management:
- Consumers don’t fully trust in AI companies’ data protection practices
- People trust the information provided by AI tools to a degree but aren’t willing to fully rely on it
- Some LLMs continue to be biased
Although marketers must adopt AI to stay competitive, they also need to find solutions to these challenges.
No amount of automation can make up for a loss of brand trust.
Overview of Leading AI Technologies
- According to data about unique visitors from Semrush Traffic Analytics, ChatGPT is by far the most popular generative AI tool, followed by DeepSeek, which overtook Gemini and Claude in January 2025.
- Forty-five percent of U.S. consumers have tried ChatGPT, compared to roughly 55% in the U.K. and Canada (Attest 2025).
- By technology segment, deep learning accounted for 37.4% of the global AI market share in 2024, making it the leading approach for applications in audio, video, and text recognition (Precedence Research 2025).
- Gartner forecasts that 100% of enterprise PC purchases will be AI PCs by the end of 2026. AI PCs use a neural processing unit (NPU) that can run many more AI processes in the background (Gartner 2024).
- The performance gap between the top and 10th-ranked AI models on major benchmarks shrank from 11.9% to 5.4% in 2024 (Stanford 2025).
- The volume of AI-related patent grants in the U.S. reached 54,022 in 2024, marking the fourth consecutive year of growth (Anaqua 2025).
- Nearly 90% of notable AI models in 2024 were developed by industry rather than academia (Stanford 2025).
- The U.S. produced 40 notable AI models in 2024, compared to 15 from China and just three from Europe (Stanford 2025).
- China continued to lead the world in AI-related publications and patents in 2024, even as the U.S. remained ahead in the number of top-performing AI models (Stanford 2025).
- Global revenue from AI semiconductors was projected to reach $71 billion in 2024, marking a 33% increase from 2023 (Gartner 2024).
Why These Stats Matter
AI is becoming essential for how we interact with technology.
From consumer tools to enterprise hardware, the rapid adoption across sectors means marketers must adapt quickly—or risk falling behind in how they reach, understand, and engage their audiences.
The Future of AI: Expert Predictions and Analysis
- Gartner predicts that 75% of enterprise software engineers will use AI coding assistants by 2028 (versus fewer than 10% in early 2023) (Gartner 2024).
- Salesforce CEO Marc Benioff predicts 1 billion AI “agents” will be in service by the end of 2026 (Yahoo Finance 2024).
- Deloitte forecasts that 25% of companies using generative AI will pilot “agentic AI” by 2025 (rising to 50% by 2027) (Deloitte 2025).
- IBM expects that 2025 will be the year of agentic AI in business applications (IBM 2025).
- Gartner predicts that by 2028, 15% of day-to-day work decisions will be made autonomously by AI agents (up from 0% in 2024) (Gartner 2024).
- Cisco expects a move away from general-purpose language models toward smaller, specialized AI models built for specific business outcomes (Cisco 2025).
- Despite fears of widespread job loss, McKinsey anticipates no immediate change in workforce size due to AI adoption. They even expect hiring for software engineering and product development to increase (McKinsey 2025).
Why These Stats Matter
AI agents will soon be embedded in daily business workflows, acting autonomously.
For marketers, that means planning for a future where customer experiences, content, and even strategy may be shaped by autonomous systems.
Stay Ahead of Competitors in the AI Age
To stay ahead as the age of AI comes into focus, take daily action and experiment.
Semrush provides many tools to get started:
First, try Semrush’s AI Toolkit to see what ChatGPT, Perplexity, and Gemini say about your brand.
The AI toolkit even tells you what to do to improve your brand’s perception in AI tools:
Second, with Semrush’s Content Toolkit, I can quickly generate high-quality content for websites, ads, and social media posts.
For example, I could have the AI Article Generator create a first draft of this article.
I’d open the tool, enter my topic or keyword, and click “Generate”
I’d set my audience location, title, target and related keywords, word count, and brand voice. Then, I’d click “Create article.”
From here, I can edit the article myself or review the tool’s recommendations to improve it for SEO, readability, and tone.