The accounting automation conversation changed shape in 2026. A year ago, the most-cited statistics in this space were forward-looking — “by 2026, X% of finance teams will…” Those deadlines have arrived. What we have now is the first wave of actual outcome data, and in several cases the reality is more nuanced than the original predictions.
This article rounds up the most current, verifiable accounting automation statistics in 2026: AP automation market size, AI adoption in finance and accounting, agentic AI, daily AI usage by accountants, manual invoice processing, and ePayments.
Key Takeaways:
- AP automation market: USD 6.94 billion in 2026, growing at a 12.44% CAGR through 2031 (Mordor Intelligence).
- AI adoption in finance has plateaued: 59% of finance leaders use AI in 2025 — almost identical to 58% in 2024 (Gartner).
- Small business AI adoption: 55–58% of SMBs used AI in 2025, up from 39–40% in 2024.
- Agentic AI is rising — and being cancelled: Gartner predicts 15% of work decisions will be autonomous by 2028, but warns 40%+ of agentic AI projects will be cancelled by end of 2027.
- 46% of accountants now use AI every day (Intuit QuickBooks 2025) — but only 37% of firms invest in AI training, and the ones that do unlock ~7 extra weeks of capacity per employee per year (Karbon).
- 66% of AP teams still manually key invoices into ERP/accounting systems — up year-on-year per IFOL’s 2025 report.
- ePayments now make up 68.3% of all enterprise B2B payments, up from 62% the prior year (Ardent Partners 2025).
- 73% of AP teams have not fully automated core workflows — the ambition-execution gap is the real 2026 story.
1) The AP Automation Market: $6.94 Billion and Growing
The accounts payable automation market has a 2026 number, and it is bigger than most forecasts predicted. According to Mordor Intelligence’s January 2026 industry report, the AP automation market is valued at USD 6.94 billion in 2026 and is projected to reach USD 12.46 billion by 2031, growing at a 12.44% CAGR.
Growth is uneven across segments. Large enterprises captured roughly 60% of the market in 2025, but small and medium enterprises are growing fastest — at an 18.15% CAGR through 2031. By geography, North America still holds the largest share (37%), while Asia-Pacific is the fastest-growing region (13.96% CAGR) thanks to e-invoicing mandates in India, Indonesia, and Japan.
The drivers behind the growth are clear: real-time payment rails like FedNow, mandatory e-invoicing in 80+ countries, and AI-enhanced data capture are converging into a single business case. Mid-market finance teams that adopted AP automation software early in this cycle are now seeing the payoff in multi-country tax compliance and faster close cycles.
2) AI in Finance Has Plateaued at 59%
In late 2023, Gartner predicted that by 2026, 80% of large enterprise finance teams would rely on internally managed generative AI platforms trained on proprietary business data. That prediction was optimistic.
Gartner’s 2025 AI in Finance Survey — taken May–June 2025 — found that 59% of finance leaders use AI in their finance function, almost identical to the 58% measured in 2024. The momentum that drove the function from 37% adoption in 2023 to 58% in 2024 has flattened, hitting what Gartner attributes to complexity, data quality, and talent challenges.
Gartner has also reset its 2026 goalpost. The updated September 2024 forecast is far softer than the 2023 version: 90% of finance functions will deploy at least one AI-enabled technology solution by 2026 — a much lower bar than in-house GenAI platforms.
The most common AI use cases in finance functions are knowledge management (49%), accounts payable, and anomaly detection. Optimism, meanwhile, keeps rising: 67% of finance leaders are more optimistic about AI in 2025 than they were in 2024, with the strongest optimism coming from teams already past the early-pilot stage.
The takeaway for finance leaders: AI adoption in finance is real but harder than the headlines suggested. The competitive question in 2026 isn’t whether to use AI — it’s whether the AI you’ve adopted is genuinely improving close cycles, invoice approvals, and forecasting, or just adding a chatbot to the dashboard.
3) Small Business AI Adoption Crossed 55% in 2025
AI is no longer a large-enterprise advantage. Depending on which survey you read:
- The S. Chamber of Commerce 2025 report found 58% of small businesses used generative AI in 2025, up from 40% in 2024 and 23% in 2023.
- Thryv’s annual SMB survey found 55% of small businesses used AI in 2025 — jumping to 68% among companies with 10–100 employees.
- Business.com’s 2025 longitudinal study measured 57% of U.S. SMBs investing in AI, up from 36% in 2023.
The variance reflects different definitions of “AI use.” Census BTOS data, using a stricter production-use definition, reports much lower adoption — around 10% in September 2025. Vendor surveys include experimentation and pilot programs.
Either way, the trend line is the same: the AI gap between small and large businesses narrowed from 1.8x to roughly 1.2x between 2024 and 2025 — the fastest-closing technology adoption gap in recent memory.
4) Agentic AI: Real Promise, Real Cancellations
The headline statistic on agentic AI remains Gartner’s prediction that at least 15% of day-to-day work decisions will be made autonomously by AI by 2028, up from 0% in 2024. In addition, 33% of enterprise software applications are expected to include agentic AI by 2028 — up from less than 1% in 2024.
But Gartner’s 2025 update added an important counterweight: over 40% of agentic AI projects will be cancelled by the end of 2027 due to escalating costs, unclear business value, or inadequate risk controls. The firm specifically called out “agent washing” — vendors rebranding existing AI assistants, RPA, and chatbots as agentic AI without real autonomous capabilities.
For finance, the implication is a two-track reality. In teams that build agentic AI carefully, it’s genuinely transforming approvals, anomaly detection, and reconciliations. In teams chasing hype without a concrete use case, it is on track to become a sunk cost. The question CFOs should be asking vendors in 2026: what specific decisions does the system make autonomously, and what’s the audit trail?
5) AI Is Now Embedded in Daily Accounting Work, But Training Is the Bottleneck
As we said earlier, the corporate-finance view shows AI adoption plateauing at 59%. The accounting-profession view tells a more energetic story.
Three large 2025 surveys converge on the same picture: AI use inside accounting firms and finance teams is mainstream, daily, and overwhelmingly aimed at client-facing work — but the firms turning AI into real productivity gains are the ones investing in training.
Let’s start with the headline figure. The 2025 Intuit QuickBooks Accountant Technology Survey of 700 accounting professionals reports 46% of accountants now use AI every day, compared with just 28% of small business owners. 88% have used AI in the past year to improve how they deliver value to clients, and 85% say not adopting new technology will hinder their firm’s growth.
Wolters Kluwer’s 2025 Future Ready Accountant report — surveying more than 2,700 tax and accounting professionals globally — confirms the trajectory. AI adoption among accounting firms surged from 9% in 2024 to 41% in 2025, more than quadrupling year-over-year. 77% of firms plan to increase AI investment in the coming year, and 35% are already using AI daily.
The Karbon State of AI in Accounting 2025 report adds the critical missing piece: 85% of accounting professionals are excited or intrigued by AI, but only 37% of firms invest in AI training. The firms that do invest in training unlock roughly seven extra weeks of capacity per employee per year. That’s the difference between AI as productivity multiplier and AI as expensive feature.
Inside the accounting workflow itself, automation is even more pervasive than AI. 95% of accountants have adopted some form of automation, with the top use cases being payroll processing (47%), accounts payable and receivable (46%), and data entry and transaction processing (43%). 98% of automating firms report improved data accuracy and workflow efficiency as the top benefits.
But the data also exposes the bottleneck. 89% of accountants say their existing digital solutions need better integration, and firms now juggle an average of 8 different digital tools. Tool sprawl, fragmented data, and inconsistent training are the constraints — not access to AI.
6) Manual Invoice Entry Got Worse, Not Better
This is the statistic that most contradicts the linear-automation-progress narrative. According to the Institute of Financial Operations and Leadership’s 2025 AP Automation Trends report (summarized here by Softco):
- 66% of AP teams still manually key invoices into ERP/accounting software — up year-on-year.
- 63% of AP teams spend more than 10 hours per week on invoice processing.
- 73% of AP teams have not fully automated core AP workflows, and 27% have no automation at all.
- AI adoption in AP jumped to 29%, with 51% of teams planning to adopt AI within 12 months.
- Only 39% of teams store AP documentation fully digitally; 10% are still on paper.
The paradox most CFOs will recognize is right there in the data. AI dominates the boardroom conversation, but teams are still reconciling invoices line by line. The execution gap is widest at the workflow level — teams have been adding AI to capture or approvals on top of fragmented data, ending up with faster silos rather than transformation. Tools that handle the full automated invoice processing workflow end-to-end — capture, matching, approvals, ERP sync — are how teams actually break the cycle.
7) ePayments Crossed Two-Thirds of Enterprise Payments
Electronic payments have officially become the default mode for enterprise B2B. According to Ardent Partners’ 2025 State of ePayables report — the 20th-anniversary edition of the longest-running B2B payments benchmark — leading forms of ePayables (payment networks, ACH, wire, commercial cards, and virtual cards) now constitute 68.3% of all payments made by the average enterprise, up from 62% in the prior measurement.
The drivers are familiar but worth restating: ACH and virtual cards are faster, more traceable, and harder to fraud than paper checks; FedNow in the U.S. and Canada’s upcoming Real-Time Rail are pushing finance teams toward real-time settlement models; and over half (51.2%) of invoices flowing into the average enterprise are now digital, making the case for paper checks weaker every quarter.
The performance gap between leaders and laggards is widening, not narrowing. Best-in-class AP teams process invoices in 3.1 days vs. 17.4 days for the rest, and 51% are actively considering AI adoption in the next 12 months.
What These 2026 Statistics Mean for Finance Teams
Reading these numbers together, three patterns stand out.
First, the future-tense era of accounting automation is over. Many of the bold “by 2026” predictions made in 2023 didn’t quite land — adoption was real but lower than forecast, and the in-house GenAI vision gave way to a more pragmatic embedded-AI reality.
Second, the execution gap is real. AI adoption headlines (29% in AP, 59% in finance, 75% in best-in-class teams) sit alongside execution headlines (66% still keying invoices manually, 73% not fully automated, 40% of agentic projects forecast to be cancelled). The competitive advantage isn’t being on the AI bandwagon, it’s integrating AI into the workflows where it pays off.
Third, AI inside accounting is mainstream but uneven. 46% of accountants use AI daily and 41% of firms have adopted it, yet only 37% invest in training and 89% report tool integration as a bottleneck. The differentiator is no longer whether you use AI, it’s whether your team is trained and your data is consolidated enough for AI to actually move the numbers.
For mid-market finance teams looking to close the gap between AI ambition and AP reality, the practical move is the same one 3,500+ finance teams have already made: unify AP automation and financial close automation on a single platform with native ERP sync, contextual AI for invoice processing, and a real audit trail.
FAQs
What percentage of finance teams use AI in 2026?
Gartner’s 2025 AI in Finance Survey found 59% of finance leaders use AI in their finance function — almost identical to the 58% measured in 2024. After a sharp jump from 37% in 2023 to 58% in 2024, finance AI adoption has plateaued. Gartner attributes the slowdown to data quality, complexity, and talent challenges. The most common use cases are knowledge management (49%), accounts payable, and anomaly detection.
How big is the AP automation market in 2026?
The global AP automation market is valued at USD 6.94 billion in 2026 and is projected to reach USD 12.46 billion by 2031, growing at a 12.44% CAGR (Mordor Intelligence, January 2026). North America holds the largest market share (~37%), while Asia-Pacific is the fastest-growing region at 13.96% CAGR.
Is manual invoice processing still common?
Yes — much more common than the AI conversation suggests. The IFOL 2025 Accounts Payable Automation Trends report found that 66% of AP teams still manually key invoices into ERP/accounting software, up year-on-year, and 73% have not fully automated core AP workflows. The gap between AI adoption headlines and actual workflow automation is the central paradox of accounting automation in 2026.
What is agentic AI and how will it affect accounting?
Agentic AI refers to AI systems that act autonomously — making decisions, executing tasks, and adapting without explicit prompts. Gartner predicts at least 15% of day-to-day work decisions will be made autonomously by AI by 2028, with 33% of enterprise software applications including agentic AI capabilities. In accounting, this will most affect approvals, anomaly detection, reconciliations, and forecasting. Gartner also warns that 40%+ of agentic AI projects will be cancelled by end of 2027 due to cost and value-clarity issues, so vendor scrutiny matters.
How many accountants use AI daily?
46% of accountants now use AI every day, according to the 2025 Intuit QuickBooks Accountant Technology Survey of 700 accounting professionals — outpacing small business owners at 28%. Separately, Wolters Kluwer’s 2025 Future Ready Accountant report (2,700+ professionals globally) found AI adoption among accounting firms quadrupled from 9% in 2024 to 41% in 2025, with 35% using AI daily and 77% planning to increase AI investment. The bottleneck isn’t access — it’s training: only 37% of firms invest in AI training, even though firms that do unlock roughly 7 extra weeks of capacity per employee per year (Karbon).
What’s the future of accounting automation?
Expect three shifts. First, embedded AI replaces standalone AI tools — invoice capture, anomaly detection, and approval routing become features of ERPs and close platforms rather than separate products. Second, agentic AI moves from pilot to production in narrow, high-volume decisions (approvals, reconciliations, vendor onboarding) by 2027–2028. Third, the AI buyer’s journey itself becomes AI-mediated — meaning vendors that are genuinely useful and differentiated will be cited by AI answer engines; vendors that are generic will be skipped entirely.
