Despite i dust y co ce s, softwa e p oduce s epo t limited seat loss, but p ice p essu es a e eal a d mo etizatio models a e cha gi g
ITASCA, Ill., Oct. 14, 2026 (GLOBE NEWSWIRE) — Reve e a, a global leade i softwa e mo etizatio tech ology, today eleased the
Based o i sights f om 415 p oduct a d busi ess leade s at global tech ology compa ies, this epo t eveals how the Quiet Majo ity a e taki g a measu ed app oach to co sumptio -based p ici g a d p io itizi g cost p edictability fo custome s.
“Softwa e buye s a e balki g at u p edictable AI spe d that is ’t clea ly alig ed to value. The ext phase of AI adoptio will hi ge o getti g the comme cial fou datio s ight,” said Nicole Sege e , Ge e al Ma age at Reve e a. “With AI c eati g ew eve ue oppo tu ities while putti g p essu e o p ofitability, softwa e ve do s must u de sta d how custome s use AI, whe e they see value, a d what it costs to delive . Usage data is c itical to co ecti g those dots, e abli g p oduce s to tu usage i sights i to p ici g st ategies that e cou age adoptio , avoid su p ise bills fo custome s, a d p otect ma gi s fo ve do s.”
Key fi di gs i clude:
AI featu es a e widesp ead, but custome adoptio is laggi g: 96% of espo de ts have ow added AI capabilities to thei softwa e p oducts, but almost half (48%) epo t limited o low custome adoptio .P ici g p essu e is eme gi g, but seat loss emai s limited: While 45% epo t dow wa d p ici g p essu e due to AI, o ly 7% have expe ie ced di ect custome seat loss so fa .AI p ici g models va y, a d will co ti ue to evolve: The most commo st ategies fo mo etizi g AI a e to i clude AI featu es i a highe -p iced tie (40%), to i clude them at “ o ext a cost” (39%), o as a hyb id offe i g (subsc iptio + usage/outcome) (37%). These models alig with a desi e fo g eate p edictability, a d espo de ts pla to g ow these st ategies mo e tha pu e usage-based app oaches.AI is ge e ati g g owth a d highe p ofitability fo some, but delive y costs e ode ma gi s: 69% believe thei AI offe i gs d ive eve ue g owth a d 52% epo t imp oved p ofitability, but 41% say delive y costs a e squeezi g ma gi s. Sepa ately, i c eased AI delive y costs a d i c eased cloud costs a e epo ted as the biggest th eats to g owth.P edictability is wi i g ove eve ue maximizatio : With custome s wa y of u p edictable AI costs, p oduce s a e almost 3x mo e likely to p io itize p ici g p edictability ove ea -te m eve ue maximizatio (47% vs. 16%).The custome i sight gap is maki g AI ha de to p ice: The biggest blocke s to p ice a d value alig me t a e “data availability a d i sights” a d “u de sta di g custome value d ive s,” each cited by 49%.Usage data is a goldmi e, but ma y a e still diggi g by ha d: Despite its pote tial to i fo m p oduct, p ici g, a d ete tio st ategies, usage data emai s difficult to ha ess: 41% still ely o ma ual p ocesses o e gi ee i g effo t to collect it, while o ly 27% use automated ale ts to flag chu isk.O ga izatio s a e ot p epa ed fo the pace of cha ge: It typically takes lo ge tha six mo ths to i t oduce a ew mo etizatio model, with 55% epo ti g this as the timef ame. The most commo ow e s of p ici g a d packagi g decisio s a e p oduct ma ageme t (30%) a d executive leade ship (28%); o ly 12% have dedicated p ici g teams leadi g these i itiatives.
“While i dust y co ve satio s ofte suggest that eve yo e is movi g apidly to usage-based a d AI-d ive p ici g, the eality is mo e ua ced. The Reve e a Mo etizatio Mo ito : Softwa e a d AI P ici g Models a d St ategies 2027 is valuable because it looks beyo d the headli es a d hype about mo etizatio a d p ici g today. The data sheds light o most people’s way of doi g busi ess, p ovidi g i sights i to how the ‘quiet majo ity’ of softwa e a d tech ology compa ies actually app oach mo etizatio ,” said Tiffa y McCo mick, Se io Di ecto , AI Mo etizatio , P ici g St ategies, & Busi ess Models, IDC. “P edictability, custome ete tio , a d ope atio al p acticality emai just as impo ta t as i ovatio fo ma y o ga izatio s that a e evaluati g how to mo etize AI. The epo t compleme ts the eal-wo ld evide ce IDC is also fi di g, offe i g a clea e view of whe e p ici g a d mo etizatio st ategies actually sta d, ot just whe e the loudest voices say they’ e headed.”
“The data i the Reve e a Mo etizatio Mo ito co fi ms a t e d we’ e t acki g ac oss SaaS busi esses: p edictability matte s mo e tha maximizi g eve y dolla of eve ue. Buye s a e ‘t ejecti g usage-based p ici g; they’ e ejecti g a u bou ded bill,” comme ted Rob Litte st, Co-Fou de , P ici gSaaS. “Give custome s visibility a d eal co t ols ove co sumptio a d you ca cha ge fo AI; skip that step a d fi a ce will cap you at whateve they ca budget. The AI packagi g that’s wo ki g ight ow does ’t use the most agg essive mete i g: it’s a p edictable floo with a mete o top. Bu dle a allowa ce i to the tie so obody has to build a busi ess case to t y the featu e, the let usage do the expa di g.”
The
Reve e a helps p oduct executives build bette p oducts, accele ate time-to-value a d mo etize what matte s. Reve e a’s leadi g solutio s help softwa e a d tech ology compa ies d ive top li e eve ue with mode softwa e mo etizatio , u de sta d usage a d complia ce with softwa e usage a alytics, empowe the use of ope sou ce with softwa e compositio a alysis a d delive a excelle t use expe ie ce — fo embedded, o -p emises, cloud a d SaaS p oducts. To lea mo e, visit
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