Key AI Statistics at a Glance

Before we get into the data by category, here are the headline numbers that define where AI stands for small businesses and ecommerce in 2026.

AI Adoption by Small Businesses

AI adoption among small businesses has shifted from early experimentation to mainstream in under two years. Here is what the data actually shows — including where different surveys agree and where they differ.

• 47% of small businesses used some form of AI in 2025, up from 23% in 2023 — a near-doubling in two years.Source: theStacc / U.S. Census Bureau, 2025
• AI adoption among companies with 10–100 employees jumped from 47% to 68% in a single year (2024–2025).Source: Thryv AI and Small Business Adoption Survey, May 2025
• In February 2024, large businesses used AI at 1.8× the rate of small businesses (11.1% vs 6.3%). By August 2025, small businesses had nearly closed the gap — reaching 8.8% while large firm adoption held at 10.5%.Source: SBA Office of Advocacy, September 2025
• Only 8% of businesses have reached advanced AI adoption. Most remain in early or experimental stages, investing in one or two use cases without a broader strategy.Source: Forbes / SMB Group, 2024
• 76% of small businesses report using AI — but only 14% say AI is fully embedded in their core operations.Source: Goldman Sachs 10,000 Small Businesses Survey, 2026
• 80% of SMBs that use AI believe it is commonly used among their peers — but only a third of non-users agree. Many small businesses are underestimating how quickly competitors are building an advantage.Source: Salesforce SMB Trends Report, December 2024
• Only 18% of SMBs say they have no plans to adopt AI. Opposition is now a minority position.Source: Thryv, July 2025
• 96% of small businesses plan to adopt at least one emerging technology, including AI, in the years ahead.Source: U.S. Chamber of Commerce, August 2025
• The 2025 cohort of new small businesses reached 10% AI adoption in just six months — compared to 77 months for the 2019 cohort. That is a 13-fold acceleration in the speed of initial uptake.Source: JP Morgan Chase Institute, 2025
• Worker access to AI rose by 50% in 2025. The share of companies with 40%+ of AI projects in active production was set to double within six months.Source: Deloitte State of AI in the Enterprise, 2026
• 55% of working-age Americans (ages 18–64) used generative AI by August 2025, up from 45% a year earlier.Source: Federal Reserve Real-Time Population Survey, 2025

AI in Ecommerce

AI has moved from an optional add-on to operational infrastructure in retail. The statistics below cover market size, retailer adoption, consumer shopping behaviour, and the concrete revenue impact of AI tools.

Market Size

• The global AI-enabled ecommerce market reached $8.65 billion in 2025 and is projected to reach $22.60 billion by 2032, a 14.6% CAGR.Source: SellersCommerce / Market.us, 2025
• The AI-in-retail market is projected to reach $40.74 billion by 2030, growing at a 23.0% CAGR.Source: Grand View Research, 2025
• Agentic commerce — AI agents that autonomously shop on behalf of consumers — could influence $385 billion in U.S. ecommerce by 2030, with approximately $1 trillion globally.Source: McKinsey / Morgan Stanley, 2025

Retailer Adoption

• 89% of retailers have adopted AI in some form — but only 7% have fully scaled it. That 82-point maturity gap is the defining challenge in ecommerce AI today.Source: McKinsey State of AI 2025 / Stord State of AI 2026
• 84% of ecommerce businesses rank AI as their highest strategic priority.Source: Gorgias State of Conversational Commerce, 2026
• 97% of retailers plan to increase AI spending in the next fiscal year.Source: HelloRep Retail AI Survey, 2025
• 77% of ecommerce professionals use AI daily in 2025, up from 69% in 2024.Source: Industry Benchmark, 2025
• 67% of retailers use AI for marketing and ad content creation — the most common ecommerce AI application.Source: NVIDIA State of AI in Retail and CPG, 2025

Consumer Shopping Behaviour

• 68% of consumers used at least one AI tool as part of their shopping in the past three months.Source: ICSC / McKinsey, 2026
• 62% of consumers have used AI to compare brands, models, prices, or reviews.Source: ICSC / McKinsey, 2026
• 81% of shoppers using AI assistants say it improved their shopping experience.Source: Adobe, 2026
• Only 14% of consumers trust AI for fully autonomous purchasing — even as 73% use AI somewhere in their shopping journey.Source: Riskified / YouGov, 2026
• 20%+ of all global online holiday sales were influenced by AI agents and generative AI tools.Source: Salesforce, 2025

Revenue Impact

• AI personalization leaders see revenue increases of up to 40% compared to average performers.Source: McKinsey, 2025
• AI product recommendations drive 25–35% of total ecommerce revenue at companies with mature implementations.Source: BCG / Anchor Group, 2025
• 69% of retailers who implemented AI report revenue increases directly traceable to AI use.Source: Envive AI Industry Survey, 2025
• 79% of brands say AI-driven conversational commerce has increased their sales.Source: Gorgias State of Conversational Commerce, 2026
• AI-powered dynamic pricing delivers 5–10% margin improvements with a 6–12 month payback period — yet fewer than 15% of retailers currently use it.Source: McKinsey / Alhena AI, 2025

AI Productivity & Time Savings

How much time does AI actually save — and is the productivity gain real? Here is what the highest-quality research shows, including government-level data from the Federal Reserve.

• Marketing teams using AI save an average of 11 hours per week and report 44% higher productivity than baselines.Source: ZoomInfo, 2025
• Sales professionals using AI save 2 hours and 15 minutes per day — 78% agree it frees them to focus on their highest-value work.Source: McKinsey, 2025
• Knowledge workers save 3.6 hours per week on email management alone — a 31% reduction in email time.Source: NBER / Microsoft Research, 2025
• In a controlled study of 5,000 customer support agents, AI assistant access increased issues resolved per hour by 14% on average — with the largest gains among newer workers.Source: NBER Customer Support Field Experiment, 2025
• GitHub Copilot studies across Microsoft, Accenture, and a Fortune 100 manufacturer showed developers increased weekly pull requests by approximately 26%.Source: GitHub / Microsoft, 2025
• 75% of knowledge workers worldwide now use AI tools at work, with 46% having started within the previous six months — the fastest workplace technology adoption ever recorded.Source: Microsoft Work Trend Index, 2025 (31,000 workers, 31 markets)
• U.S. nonfarm business sector labour productivity grew at an annualised 2.2% from late 2022 through mid-2025, vs 1.43% annually in 2015–2019 — a gap partly attributed to AI adoption.Source: U.S. Bureau of Labor Statistics / St. Louis Fed, 2025
• Employees using AI report an average 40% productivity boost, with controlled studies showing 25–55% improvements depending on function.Source: Fullview AI Statistics Report, 2025

AI Revenue & ROI

The business case for AI has moved from theoretical to measurable. Here is what companies are actually reporting on revenue, cost savings, and return on investment.

• Companies achieve an average return of $3.70 for every $1 invested in AI.Source: Fullview AI Statistics, 2025
• $47,000 average annual revenue increase for small businesses using AI for marketing automation — with top-quartile businesses reporting $120,000+ increases.Source: HubSpot State of Marketing, 2025 (median across 2,400 businesses)
• $12,400 average annual savings for small businesses using AI for accounting automation — from reduced bookkeeping hours, fewer errors, and faster invoice processing.Source: Intuit QuickBooks, 2025
• Customer service AI agents resolve a standard ticket for $0.46 versus $4.18 human-handled — a 9× cost reduction.Source: Forrester TEI Studies / Anthropic Enterprise Data, 2026
• Salesforce Marketing Cloud users achieve 299% ROI over three years.Source: Salesforce / Forrester, 2025
• Only 39% of organisations report enterprise-level EBIT impact from AI — and just 6% report impact above 5%. The gap between task-level gains and enterprise returns is the defining challenge.Source: McKinsey State of AI, 2025

Top AI Use Cases for Business

Where are small businesses and ecommerce brands actually deploying AI? The table below shows adoption rates by function across the most recent surveys.

The typical AI-using small business now runs a median of 5 AI tools — a shift from single-tool experiments to an operational stack covering content, customer service, scheduling, analytics, and workflow automation.

Barriers to AI Adoption

Understanding why businesses have not adopted AI is as important as understanding why they have. The barriers differ significantly by business size and industry.

• 82% of very small businesses (under 5 employees) cite “AI is not applicable to my business” as their primary reason for non-adoption — an education gap rather than a genuine technology barrier.Source: SBA Office of Advocacy, 2025
• 45% of small business AI users cite a lack of technical expertise as a challenge; 47% say it is difficult to choose the right tools.Source: Goldman Sachs 10,000 Small Businesses Survey, 2026
• 70.9% of EU enterprises that considered AI but did not adopt cite lack of expertise as their primary barrier.Source: Eurostat, 2025
• 52% of businesses cite data quality and availability as their biggest barriers to AI adoption.Source: Process Excellence Network Research, 2025
• Concern about data security fell 40% year-over-year as hands-on experience replaced abstract fear. Businesses that started using AI consistently report lower concern levels than non-adopters.Source: Thryv, July 2025
• 77% of businesses express concern about AI hallucinations; 47% of enterprise AI users admitted to making at least one major business decision based on hallucinated content in 2024.Source: Fullview AI Statistics, 2025
• 56% of CEOs report zero measurable ROI from AI — largely among organisations that layered AI tools on existing processes rather than redesigning workflows first.Source: PwC Global CEO Survey, January 2026
• 70–85% of AI initiatives fail to meet expected outcomes.Source: MIT / RAND Corporation, 2025

AI Adoption by Industry

AI adoption is highly uneven across sectors — both in how many businesses have adopted and how deeply they have integrated it into daily operations.

AI Market Size & Growth

The AI market is growing faster than almost any technology market in history. Here are the headline figures from the most credible published sources.

• The global generative AI market was valued at $103.58 billion in 2025 and is projected to reach $161 billion in 2026, growing to $1.26 trillion by 2034 at a CAGR of 39.6%.Source: Fortune Business Insights, 2025
• Worldwide generative AI spending totalled $644 billion in 2025 — up 76.4% from the previous year.Source: Gartner, 2025
• U.S. private companies invested $109.1 billion in AI in 2024 — approximately 25 times the investment of Sweden, the highest-ranking EU country.Source: European Parliamentary Research Service, 2025
• The global small business AI software market is projected to reach $156 billion by 2028, growing at a 34% CAGR.Source: Statista, 2025
• 72% of small businesses are expected to use AI for at least one core business function by 2028.Source: McKinsey, 2025
• 88% of global organisations used AI in at least one business function in 2025 — a 10 percentage point increase from 2024.Source: McKinsey State of AI, 2025
• OECD firm AI adoption more than doubled in two years: 8.7% in 2023 → 14.2% in 2024 → 20.2% in 2025.Source: OECD ICT Access and Usage Database / Alice Labs GAIAI, 2026
• 92% of companies plan to increase AI investments over the next three years.Source: McKinsey State of AI, 2025

Small Business AI Survey — June 2026

To complement the third-party data on this page, we surveyed 100 small business owners and operators in June 2026 about their real-world AI use, time savings, revenue impact, and concerns. Respondents spanned ecommerce, professional services, technology, and trades. Results are self-reported.

AI Adoption & Usage

• 47% of small businesses surveyed use AI tools regularly — multiple times per week.
• 69% use AI in some capacity (regularly or occasionally), with only 10% saying they have no plans to adopt it at all.
• 6% tried AI tools but stopped — suggesting early friction in onboarding remains a real barrier for a minority of adopters.
• 58% of AI-using small businesses have been using AI tools for over a year, with 22% having adopted more than two years ago.

Where Small Businesses Actually Use AI

Respondents could select all areas that applied. Marketing and communication tasks dominate — but ecommerce-specific uses like product descriptions and customer service are also well represented.

Time Savings

• 58% of small businesses using AI save 1–6 hours per week — with the largest group (32%) saving 1–3 hours weekly.
• 23% save 7 or more hours per week, with 8% saving more than 10 hours — time equivalent to a part-time employee for the most intensive AI users.
• Only 7% said they haven’t measured time savings — suggesting most small business AI users have a concrete sense of the value they’re getting.

Revenue Impact

• 55% of small businesses report a positive revenue impact from AI — 16% noticeable, 39% slight.
• Only 4% say AI has not helped their revenue at all. The majority of non-positive responses are “too early to say” (14%) or “no measurable impact yet” (27%) — not negative outcomes.

AI Spending

• 72% of small businesses spend $100 or less per month on AI tools — 28% use free tools exclusively, 19% spend $1–25, and 31% spend $26–100.
• Only 6% spend more than $300/month, suggesting AI remains highly accessible for small business budgets.

Biggest Concerns

• Privacy and data security is the top concern, cited by 22% of respondents — followed closely by accuracy of AI outputs (21%) and lack of time to learn new tools (18%).
• Only 5% report no concerns about AI, and just 2% say they will never use it — resistance to AI among small businesses is now a fringe position.
• 16% don’t know which tools to use — pointing to a discovery and education gap more than a cost or technology barrier.

Who We Surveyed

56% of respondents are solo operators, 24% have 2–5 employees, and 20% have 6 or more employees. The survey skews toward micro and small businesses — the segment where AI adoption data is most scarce.