AI 预算分配软件市场（2026—2031）

The AI budget allocation software market size is USD 2.07 billion in 2026 and is projected to reach USD 7.44 billion by 2031 at a 29.07% CAGR. The forecast reflects greater use of connected planning, continuous forecasting, and tools that assign spending as business conditions and operating data change. It also reflects the need to bring recurring forecast revisions, spending approvals, and data from several finance systems into one controlled planning process.

Demand is supported by continuous forecasting, real-time allocation of AI and cloud costs, and the replacement of disconnected spreadsheet planning processes. Finance teams also need stronger controls over assumptions, approvals, and the data used for decisions that affect operating budgets and capital priorities.

Cloud-based deployment held 71.87% of revenue in 2025 because it supports shared access, connected planning data, and regular product updates. Hybrid deployment is also becoming more relevant for organizations that want cloud planning capabilities while retaining control of sensitive source data in a managed environment. This option can suit regulated financial institutions, energy companies, and multinational organizations that need shared planning models but cannot move all underlying financial information to a fully external setting.

BFSI held 27.84% of revenue in 2025, supported by capital planning, treasury, reporting, governance, and audit requirements. These requirements make the sector an important source of demand for platforms that can document recommendations and support detailed, multi-entity planning workflows. Product requirements developed for banks and insurers can also influence broader enterprise demand for strong access controls, traceable data, scenario modeling, and reviewable decision records.

Marketing-mix and media budget optimization is projected to expand at a 30.18% CAGR through 2031 as companies move toward continuous campaign allocation. The use case becomes more valuable when marketing decisions are connected to finance approval processes, cash-flow constraints, and company-wide planning assumptions. It can also help companies compare planned activity with results more often, rather than relying on a fixed allocation that is reviewed only after a campaign cycle has ended. This allows marketing teams to respond to performance changes while finance retains visibility over the basis for budget changes and the expected use of available funds.

Asia-Pacific is projected to expand at a 30.12% CAGR, supported by finance digitalization, cloud adoption, and growing use of AI in planning functions. Demand varies across the region because organizations must address different local data requirements, finance systems, and levels of planning process maturity. India, China, Japan, and Southeast Asian markets each offer different conditions for vendors that can adapt deployment, integration, and governance practices to local enterprise requirements.