AI Statistics for 2025: Top Ecommerce Trends

Artificial intelligence (AI) is a booming sector of the global economy, and current trends suggest that AI service revenue will continue to grow as businesses start using AI tools in increasingly varied ways. 

To help you understand the power of AI in the ecommerce space, here are some illuminating artificial intelligence statistics. These stats demonstrate how businesses across industries are adopting artificial intelligence, which use cases are most popular, and what the US public thinks about the increasing prevalence of AI technology in the workplace and in daily life. 

Key AI statistics for 2025

Here are some key figures for AI markets in 2025:

Global AI market projections

• The global AI market is projected to reach $757.6 billion in 2025 and expected to surpass $1.8 trillion by 2030.
• This growth represents a compound annual growth rate (CAGR) of 19.2% between 2025 and 2034.
• The global AI technologies market is projected to grow at a CAGR of 35.9% from 2025 to 2030. Rapid growth means AI capabilities are improving fast, allowing small and mid-sized merchants to access advanced features like predictive analytics and dynamic pricing.
• ChatGPT reached 400 million weekly active users by February 2025. Generative AI tools are seeing explosive adoption, opening the door to faster content creation and automation for product descriptions, customer support, and more.

AI in ecommerce market size and growth

• The market for AI-powered ecommerce tools is on track to hit nearly $17 billion by 2030, making now the time to build with smart tech at your side.
• The NLP (natural language processing) segment is expected to exceed $112 billion by 2030. Retailers can expect more intelligent chatbots and search tools that understand customer intent, improving service and conversion rates.
• By 2030, AI is expected to manage 80% of customer interactions—reshaping support, streamlining service, and freeing up your team to focus on growth.
• Smart product recommendations powered by AI can triple revenue, more than double conversion rates, and increase order values by half.

AI industry statistics

These figures demonstrate AI’s impact across industries:

AI adoption across industries

• AI adoption is on the rise, with 78% of organizations using it in at least one business function—up from 72% earlier in 2024 and 55% in 2023.
• IT and marketing/sales are the most common areas where AI is used, followed by service operations.
• Information technology (IT) drives AI investment, capturing 74% of total venture capital funding and representing seven of the top 10 biggest AI deals in Q1 of 2025.
• Health care is quickly growing its AI footprint, with investments rising 15% quarter over quarter. AI is reshaping everything from diagnostics to patient care, making it a top sector to watch.
• Industrial goods and materials are steadily adopting AI, posting 3% growth in investment compared to the previous quarter, reflecting the ongoing push to automate manufacturing and optimize supply chains.
• Business and financial services saw a slowdown, with fewer big AI deals in early 2025 compared to late 2024. 
• The AI telecom market is forecast to grow at a CAGR of more than 38% from 2025 to 2030. Faster, smarter networks will enable better real-time customer service tools, conversational commerce, and frictionless mobile shopping.

Investment trends in AI technology

• Nearly 50% of all startup funding in the US in 2024 went to AI startups. A strong funding pipeline means continuous innovation, especially from AI businesses targeting niche ecommerce problems like fraud prevention or return logistics.
• In the first quarter of 2025, venture capital (VC)-backed companies secured more than $80 billion in funding—a nearly 30% jump from the strong results seen in Q4 2024.
• This surge was driven largely by a single $40 billion AI investment, which significantly boosted overall funding levels. However, despite the increase in capital, the total number of deals continued to fall. 

AI adoption rates in ecommerce and retail

• AI in the ecommerce market is projected to hit nearly $51 billion by 2033, growing at a 24.3% CAGR over the forecast period.
• 51% of ecommerce businesses are already using AI to create smoother, more personalized shopping experiences.
• AI-driven product recommendations are expected to boost ecommerce sales by 59%.
• The market for AI-powered ecommerce tools is predicted to reach around $16.9 billion by 2030.
• AI adoption is projected to significantly reduce operational costs for ecommerce businesses by 2030.

Regional adoption

• North America made up more than 36.9%of the global AI market in 2024.
• North America’s AI market was worth more than $235 billion in 2024 and is projected to grow at a CAGR of 19.22% during the same period.
• By 2030, AI is predicted to account for 14.5% of North America’s GDP.
• The global AI adoption rate is expected to grow significantly, with more than 529.8 million users projected by 2027.
• The Asia Pacific AI market is expected to grow the fastest, with a 19.8% CAGR from 2025 to 2034.
• The US AI market was valued at $146.09 billion in 2024 and is projected to reach $851.46 billion by 2034, growing at a CAGR of 19.33%.
• Top AI use cases include personalized shopping, predictive analytics, and smarter inventory management.

Adoption by retailer size

• As of 2024, 75% of small and medium-sized businesses (SMBs) are at least experimenting with AI tools.
• 78% of SMBs with AI say it will be“a game-changer” for their business. 
• Among SMBs using AI, 87% report that it helps scale their operations.
• Small business leaders who aren’t using AI might not realize how widespread it is—about 80% of AI users think most of their peers use the technology, but only one-third of non-users believe that’s true.
• Growing SMBs lead adoption, with 83% already using AI compared to smaller uptake by others.
• Looking ahead, 78% of SMBs in growth mode plan to boost AI investments next year, while only 55% of declining SMBs plan the same.

General adoption of AI

Explore how companies and consumers are using AI: 

Company use of AI technologies

• 94% of employees and 99% of company leaders say they’re at least somewhat familiar with generative AI tools.
• Leaders estimate that only 4% of employees use AI for at least 30% of their daily work—but employees say the real number is about three times higher.
• 62% of employees between the ages of 35 and 44 say they’re highly skilled with generative AI—compared to 50% of workers aged 18 to 24, and just 22% of those over 65.
• 97% of mobile users are already using voice search or another form of AI-powered voice assistant.

Consumer use of AI technologies

• Over two-thirds of customer experience (CX) teams believe generative AI can add warmth and a personal touch to service—even at massive scale.
• Nearly 30% of consumers are asking AI and chatbots a wider variety of questionsthan before, showing growing comfort and trust.
• Almost half of customers think AI agents can demonstrate empathy.
• 43% of shoppers are excited to use generative AI, signaling strong interest in AI-powered service.

Use cases for AI

Discover a sample of some of the many use cases for AI:

AI applications in ecommerce

• In 2025, 34% of US customers expressed comfort in letting AI shop for them. 
• AI makes shopping decisions faster, with a 47% decrease in time to purchase
• Humans still matter. 87% of consumers prefer a hybrid support model that combines human empathy with AI efficiency. 

AI for marketing and customer engagement

• Some 78% of marketers say AI and AI automation help themspend less time on manual tasks, such as scheduling and data entry.
• AI-driven personalization can reduce marketing costs by 10% to 30%.
• Over half (55%) of AI-using marketersreport using it to generate text for social media, email, and blog copy. 
• Companies that are adept at using AI personalization tools earn 40% more than companies that aren’t.
• 64% of marketers who use AI report increased productivity as an essential outcome.
• In 2025, 31% of marketers employ AI chatbots on their social media channels or websites. 

AI for inventory and operations management

• 53% of respondents to a 2025 survey report using AI to predict and mitigate supply chain problems. 
• McKinsey estimates that AI tools forsupply chain management produce 5% to 20% in logistics savings.
• The same McKinsey report states that companies that embed AI in their operations can reduce their inventory holdings by 20% to 30%, thanks to better demand forecasting.
• Almost 60% of advanced organizations have combined their AI strategy, rules, data, and systems in one place to make everything more consistent and efficient.

AI and risk management

AI is driving sophisticated fraud, including deepfakes that can bypass identity verification. In response, merchants are using AI-powered tools to detect patterns in real time and flag suspicious activity. These figures highlight how AI can both create and mitigate security risks:

Security concerns and solutions

• 63% of high-maturity organizations analyze the financial risks, return on investment (ROI), and customer impacts of their AI tools and programs to foster sustainable success with AI.
• 48% of mature organizations cited security threats as a barrier to AI implementation.
• 34% of leaders in low-maturity organizations and 29% in high-maturity organizations identified data availability and quality as key challenges to successful AI implementation.

Privacy considerations for online merchants

• Businesses using AI for compliance cite faster turnaround on reports (41%), automated due diligence updates (37%), and better risk detection (36%) as core benefits.
• 35% say AI also helps reduce the cost of meeting compliance requirements.

Public perceptions of AI

Here are some common beliefs around AI:

Customer expectations for AI-powered shopping

• While only 33% of consumers report that they think they use AI, in reality, 77% turn to AI-powered services or devices. 
• Only 26% of consumers trust organizations to use AI responsibly.
• 46% of consumers are comfortable using AI for specific tasks like checking order status or getting medical advice.
• Nearly half of customers feel AI agents can show empathy when handling their concerns.
• 59% of consumers expect generative AI to transform how they interact with businesses within the next two years.
• Among consumers who have used generative AI, 75% believe it will soon change their customer service experiences.
• More than half of customers think bots will be capable of having natural, human-like conversations by 2026.
• 68% of consumers expect chatbots to deliver the same expertise and quality as highly skilled human agents.

Trust factors in AI-enabled commerce

• 63% of consumers worry about bias and discrimination in AI algorithms and decision processes.
• 74% of customer experience (CX) leaders agree that transparency in AI is essential due to demands from customers and regulators.
• 77% of CX leaders feel responsible for protecting customer data privacy and security.
• 83% of CX leaders prioritize data protection and cybersecurity in their customer service strategies.
• Most people still aren’t ready to use AI for payments—only 10% of consumers in Western countries say they might try it in the next few years, due mostly to of security worries and lack of awareness.

AI predictions for 2025 and beyond

AI is already making an impact across regions and industries. Here are some predictions for its future in ecommerce and merchant technology:

Future of AI in ecommerce

• 84% of ecommerce businesses rank AI as their highest priority right now.
• By 2035, AI is expected to help businesses increase their profits by nearly 60%.
• In the US, AI in the retail market is forecast to reach $17.76 billion by 2032.
• The AI-powered ecommerce market is expected to grow from $8.65 billion in 2025 to $22.6 billion by 2032, growing steadily each year.
• By 2028, about a third of online retailers will be using advanced AI agents—up from less than 1% today.

Emerging AI technologies for merchants

• Shopify overhauled its data infrastructure to integrate advanced AI capabilities, empowering merchants with deeper analytics and tailored insights across their online stores.
• Unilever’s AI platform supports 500,000 micro-retailers across six countries, including Indonesia and Vietnam, processing 75,000 daily orders.
• Runway secured $308 million in Series D funding, valued at $3 billion, providing AI tools that help create visual content and marketing materials more efficiently.
• Turing raised $111 million in Series E, valued at $2.2 billion, offering AI-powered coding assistance and large language model solutions that can support customized ecommerce applications.
• Anthropic completed a $3.5 billion Series E round at a $61.5 billion valuation, focusing on large language models that enable chatbots, personalization, and AI-driven customer engagement in ecommerce.