Intelligent Process Automation Market Size, Forecast & Share Analysis 2030

Name: Intelligent Process Automation Market Size, Forecast & Share Analysis 2030
Creator: Mordor Intelligence
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Intelligent Process Automation Market Size and Share

Market Overview

Study Period	2019 - 2030
Market Size (2025)	USD 15.42 Billion
Market Size (2030)	USD 32.76 Billion
Growth Rate (2025 - 2030)	16.26% CAGR
Fastest Growing Market	Asia Pacific
Largest Market	North America
Market Concentration	Medium
Major Players *Disclaimer: Major Players sorted in no particular order Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Intelligent Process Automation Market (2025 - 2030) — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

Intelligent Process Automation Market Analysis by Mordor Intelligence

The intelligent process automation market size stood at USD 15.42 billion in 2025 and is forecast to reach USD 32.76 billion by 2030, advancing at a 16.26% CAGR. Growth has been propelled by enterprises replacing rules-based bots with cognitive platforms that merge artificial intelligence, machine learning, and natural-language processing, allowing unstructured data handling and real-time decision making. Pandemic-era supply-chain shocks, emerging AI-governance mandates, and the maturation of cloud-native automation suites widened board-level attention on operational resilience. Early movers in banking, healthcare, and manufacturing reported 25-35% run-rate savings and 50-60% cycle-time cuts after full-scale deployments. Vendors responded with “agentic” capabilities that learn process context and orchestrate complex workflows autonomously, compressing time-to-value for both Fortune 500 and mid-market adopters.

Key Report Takeaways

By technology, Robotic Process Automation led with 43.4% of the intelligent process automation market share in 2024; Process Mining and Discovery is projected to expand at a 27.3% CAGR to 2030.
By component, Platform and Software accounted for 64.6% share of the intelligent process automation market size in 2024, while Services is advancing at a 24.2% CAGR through 2030.
By deployment, cloud models captured 54.5% revenue in 2024 and are forecast to rise at a 23.2% CAGR.
By organization size, Large Enterprises held 68.7% share of the intelligent process automation market size in 2024; Small and Medium Enterprises record the highest projected CAGR at 22.2% to 2030.
By end-user vertical, BFSI commanded 29.3% of the intelligent process automation market share in 2024, whereas Healthcare and Life Sciences are set to grow at a 25.3% CAGR.
By geography, North America led with 37.4% revenue in 2024; Asia-Pacific is the fastest-growing region at 21.2% CAGR to 2030.

Global Intelligent Process Automation Market Trends and Insights

Drivers Impact Analysis

Driver	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
Demand for operational efficiency and cost reduction	+3.2%	Global	Short term (≤ 2 years)
Advancements in AI and machine learning	+4.1%	North America and the EU, APAC core	Medium term (2-4 years)
Growing adoption of cloud-based automation	+2.8%	Global, early gains in North America, Europe	Short term (≤ 2 years)
Integration with low-code / no-code ecosystems	+2.3%	Global, SME-heavy regions	Medium term (2-4 years)
Sustainability-linked automation for Scope-3 reporting	+1.7%	EU, North America, select APAC	Long term (≥ 4 years)
Post-quantum cryptography compliance	+1.4%	Government and regulated industries globally	Long term (≥ 4 years)

Source: Mordor Intelligence

Demand for operational efficiency and cost reduction

Enterprise finance, HR, and supply-chain leaders deployed cognitive bots to blunt wage inflation and margin pressure. Post-deployment surveys showed 80% of finance chiefs planning new IPA rollouts and realizing 25-35% annual cost take-outs while halving process cycle times.^{[1]SolveXia, “32 Finance Automation Trends and Statistics for 2025,” solvexia.com} These wins reframed automation from a tactical tool into a foundational element of digital operating models. As more workflows were digitalized, manual interventions created bottlenecks that threatened customer experience, accelerating board approvals for enterprise-wide IPA budgets.

Advancements in AI and machine learning

Generative large-language models let automation platforms interpret context, correct exceptions, and adjudicate decisions once reserved for human analysts. Automation Anywhere’s Process Reasoning Engine showed how AI agents capture enterprise intent and manage end-to-end workflows without rigid scripts. Document-heavy sectors such as legal and healthcare, automated contract review and patient-record coding, are expanding the intelligent process automation market's addressable workload.

Growing adoption of cloud-based automation platforms

Cloud deployments represented 67% of new customer projects by early 2024, up from single digits five years earlier. Subscription pricing aligned costs with realized value, speeding adoption among mid-market firms. Hyperscaler ecosystems bundle AI services, secure APIs, and compliance tooling, enabling global rollouts in days and shrinking infrastructure overheads for even the largest banks.

Integration with low-code / no-code ecosystems

Business users authored automations inside visual builders, reducing reliance on scarce developers. Public-sector agencies built citizen-service workflows in weeks, mitigating talent shortfalls and elevating service quality. Low-code platforms now embed pre-trained AI models, letting non-technical staff orchestrate invoice classification or customer emails without writing code, broadening the intelligent process automation market user base.

Restraints Impact Analysis

Restraint	(~) % Impact on CAGR Forecast	Geographic Relevance	Impact Timeline
Complexity in implementation	-2.1%	Global, complex enterprise environments	Short term (≤ 2 years)
Data security and privacy concerns	-1.8%	EU (GDPR), North America, and regulated industries globally	Medium term (2-4 years)
Rising costs of specialized AI talent	-1.3%	Global, acute in North America and Western Europe	Medium term (2-4 years)
Regulatory scrutiny under emerging AI laws	-1.1%	EU (AI Act), emerging in North America and APAC	Long term (≥ 4 years)

Source: Mordor Intelligence

Complexity in implementation

Deploying AI-infused automation across legacy estates exposed integration gaps, data silos and change-management hurdles. Enterprises underestimated the effort to standardize workflows and tune machine-learning models, delaying go-live by quarters and depressing early ROI. Heterogeneous ERP landscapes lacking modern APIs forced expensive middleware workarounds, while immature best practices for agentic bots raised governance risks.

Data security and privacy concerns

Cloud IPA pipelines move sensitive records through external infrastructure, raising fears of breaches and non-compliance. The EU AI Act obliges explainability, algorithmic-bias audits, and data-lineage tracing, inflating deployment overheads. Post-quantum encryption upgrades loom, compelling vendors to harden cryptographic stacks and customers to reassess risk models before scaling cognitive automations.

Segment Analysis

By Technology: RPA Dominance Meets AI Enhancement

Robotic Process Automation accounted for 43.4% of the intelligent process automation market share in 2024, underscoring its entrenched role as the launchpad of digital workforce programs. Meanwhile, the intelligent process automation market size for Process Mining and Discovery is projected to compound at 27.3% CAGR to 2030 as firms map opaque workflows before injecting AI bots. Early RPA champions such as Arçelik automated 650,000 annual transactions, validating bot reliability in high-volume back offices. Cognitive add-ons—natural-language processing, computer vision, and conversational agents—have pushed automatable use cases into contract analysis, compliance monitoring, and front-office customer support.

The technology stack is now coalescing around agentic orchestration layers that learn context and self-correct. Vendors embed generative AI to summarise documents, extract entities and draft next-best actions, converting static bots into adaptive copilots. Process-mining engines surface bottlenecks and yield real-time heat maps that guide prioritisation. Integrated IPA suites bundle these capabilities, positioning vendors that own the full lifecycle—from discovery to deployment to optimisation—to capture a larger wallet share.

By Component: Platform Strength Drives Service Growth

Platform and Software offerings held 64.6% revenue in 2024 as buyers demanded unified environments integrating RPA, OCR, NLP, and analytics. Yet Services expanded 24.2% CAGR, signalling project complexity and skills gaps. Consulting units design target-operating models and centre-of-excellence frameworks, while implementation teams knit bots into ERP, CRM, and core-banking stacks. Managed-service providers run bot farms, monitor exceptions, and retrain models, converting IPA from a capital purchase into an outcome-based subscription.

The intelligent process automation market size for managed services will widen as enterprises confront talent scarcity and governance mandates. Vendors package pre-built industry accelerators—loan underwriting, claims adjudication, energy-plant maintenance—to shrink timelines and assure compliance.^{[2]Energy Digital, “Celonis, Microsoft and Uniper: Energy Process Mining,” energydigital.com} Citizen-developer enablement programs spur advisory engagements around guardrails, auditability, and lifecycle management.

By Deployment: Cloud Momentum Accelerated

Cloud deployments captured a 54.5% share in 2024, rising with a 23.2% CAGR as businesses shifted from capex to opex models. Intelligent process automation market adoption benefited from hyperscaler AI services—speech-to-text, form-recognition APIs, and large-language-model endpoints—accessible only in cloud regions. Automation Anywhere said 72% of new customers bought cloud subscriptions in 2025. On-premise remains for data-sovereign sectors, but hybrid architectures now dominate regulated industries seeking to isolate PII while tapping cloud elasticity.

Automatic platform updates deliver the latest security patches and model improvements without change-window bottlenecks. Cloud-native telemetry feeds usage analytics into vendor dashboards, enabling proactive support and consumption-based billing. These advantages entice mid-market firms previously priced out of enterprise-grade automation, widening the intelligent process automation market's total addressable base.

By Organization Size: SME Acceleration Transforms Market

Large Enterprises drove 68.7% revenue in 2024 through cross-functional deployments spanning finance, HR, and supply chain. However, SME adoption surged at 22.2% CAGR after low-code builders and industry templates slashed entry barriers. The intelligent process automation market now counts mid-cap retailers streamlining invoice capture and regional hospitals fast-tracking patient-record coding as mainstream buyers.

Cloud licensing aligns spend with business volume, while training-as-a-service programs upskill citizen developers in days. SMEs leverage vendor marketplaces offering plug-and-play connectors into Payables, Salesforce, or Shopify, bypassing bespoke integrations. As AI model-training costs fall, vertical-specific models reach price points affordable for small teams, further accelerating diffusion.

By End-User Vertical: BFSI Leadership Meets Healthcare Surge

BFSI retained 29.3% revenue in 2024, automating KYC, loan origination, and Basel reporting. NatWest cut project-approval lead times from 73 days to 73 minutes by embedding IPA in governance workflows. Meanwhile, the intelligent process automation market size tied to Healthcare and Life Sciences is forecast to swell at 25.3% CAGR as providers tackle claims backlogs and patient-record digitisation. UiPath showcases hospitals using bots to reconcile insurance codes and schedule surgeries, trimming administrative overhead.

Manufacturing reached 95% bot adoption or evaluation, leveraging computer-vision QA and predictive maintenance to avert downtime. Retailers automate inventory reconciliation and return management, while logistics players deploy AI-guided route planning to reduce fuel spend and emissions.

Geography Analysis

North America retained 37.4% revenue in 2024 after first-mover enterprises scaled cognitive automation across entire business-process stacks. Government agencies widened adoption for tax processing, benefits, and public health surveillance, further deepening market penetration.^{[3]TechSur Solutions, “UiPath RPA Adoption by U.S. Government Agencies,” techsur.solutions} Mature compliance frameworks provided clarity for AI audits and model governance, encouraging aggressive rollouts inside health insurers and tier-1 banks.

Asia-Pacific ranked as the fastest-growing region, advancing 21.2% CAGR to 2030. Enterprises leapfrogged on-premise estates, subscribing directly to cloud IPA suites that bundle speech analytics and low-code orchestration. Governments in India and Southeast Asia promoted automation as part of national digital-economy blueprints, subsidising SME adoption and training programs. The young, tech-literate workforce shortened learning curves, enabling rapid citizen-developer uptake and fuelling the intelligent process automation market momentum.

Europe’s stringent GDPR and upcoming AI Act shaped platform requirements around explainability, bias mitigation, and data-sovereignty controls. Vendors added audit logs and algorithmic-risk dashboards to satisfy regulators. Sustainability-linked automations gained traction as firms used IPA to compute Scope-3 emissions and populate ESG disclosures, illustrated by Climatiq’s Autopilot launch that converts procurement spend into carbon metrics. Middle East and Africa and South America remained nascent but reported double-digit growth as manufacturers and banks pursued cost-out programs amid macro headwinds.

Competitive Landscape

The intelligent process automation market displayed moderate fragmentation in 2025. UiPath, Automation Anywhere, and Microsoft anchored platform ecosystems, while Celonis, SS&C Blue Prism, and industry-specific newcomers targeted process-mining, managed RPA, and vertical templates. Competitive intensity rose through alliances rather than consolidations; UiPath linked with Inflection AI to deliver private-cloud agentic bots for security-sensitive customers. Automation Anywhere embedded Azure OpenAI to let citizen developers build generative-AI agents without leaving its interface.

Specialists gained a share in document understanding and process discovery, exploiting gaps in incumbent portfolios. Low-code vendors bundled native RPA, eroding standalone bot license growth. Vendors now compete on successful time-to-value metrics, security posture, and pre-built domain accelerators rather than raw bot counts. Quantum-safe encryption roadmaps and zero-trust architectures emerged as differentiators for regulated buyers.^{[4]Lattice Semiconductor, “Cybersecurity Solutions for the AI and Quantum Era,” latticesemi.com}

Managed-service integrators forged co-sell pacts with platform providers to deliver end-to-end automation-as-a-service. These alliances address the skills shortage, offering outcome-based SLAs that guarantee exception handling and model retraining. As a result, spend is consolidating with vendors able to orchestrate discovery, design, deployment, and ongoing optimisation under one commercial umbrella.

Intelligent Process Automation Industry Leaders

Automation Anywhere, Inc.
UiPath Inc.
Blue Prism Ltd. (SS&C)
IBM Corporation
Microsoft Corporation
*Disclaimer: Major Players sorted in no particular order

Intelligent Process Automation Market Concentration — Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0.

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Recent Industry Developments

May 2025: UiPath and Microsoft integrated agentic AI collaboration, blending UiPath’s process automation with Microsoft’s generative models to support complex cross-app workflows.
May 2025: Automation Anywhere unveiled its Process Reasoning Engine, enabling autonomous, context-aware workflow orchestration on its Agentic Process Automation platform.
March 2025: Celonis, Microsoft and Uniper began deploying large-scale process mining and AI automation across Uniper’s energy operations to cut maintenance costs and boost safety.
February 2025: Public-sector bodies accelerated hybrid-cloud, low-code automation programs to alleviate workforce shortages and enhance citizen services.

Table of Contents for Intelligent Process Automation Industry Report

1. INTRODUCTION

1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

4.1 Market Overview
4.2 Market Drivers
- 4.2.1 Demand for Operational Efficiency and Cost Reduction
- 4.2.2 Advancements in AI and Machine Learning
- 4.2.3 Growing Adoption of Cloud-based Automation Platforms
- 4.2.4 Integration with Low-Code / No-Code Ecosystems
- 4.2.5 Sustainability-Linked Automation for Scope-3 Reporting
- 4.2.6 Post-quantum Cryptography Compliance Requirements
4.3 Market Restraints
- 4.3.1 Complexity in Implementation
- 4.3.2 Data Security and Privacy Concerns
- 4.3.3 Rising Costs of Specialized AI Talent
- 4.3.4 Regulatory Scrutiny under Emerging AI Laws
4.4 Value Chain Analysis
4.5 Regulatory Landscape
4.6 Technological Outlook
4.7 Porter’s Five Forces Analysis
- 4.7.1 Bargaining Power of Suppliers
- 4.7.2 Bargaining Power of Buyers
- 4.7.3 Threat of New Entrants
- 4.7.4 Threat of Substitutes
- 4.7.5 Intensity of Competitive Rivalry
4.8 Impact of Macroeconomic Factors

5. MARKET SIZE AND GROWTH FORECASTS (VALUE)

5.1 By Technology
- 5.1.1 Robotic Process Automation (RPA)
- 5.1.2 Natural Language Processing (NLP)
- 5.1.3 Computer Vision
- 5.1.4 Cognitive Agents and Chatbots
- 5.1.5 Process Mining and Discovery
- 5.1.6 Integrated IPA Suites
5.2 By Component
- 5.2.1 Platform / Software
- 5.2.2 Services
- 5.2.2.1 Consulting and Advisory
- 5.2.2.2 Integration and Implementation
- 5.2.2.3 Managed Services
5.3 By Deployment
- 5.3.1 On-premise
- 5.3.2 Cloud
- 5.3.3 Hybrid
5.4 By Organization Size
- 5.4.1 Large Enterprises
- 5.4.2 Small and Medium Enterprises (SMEs)
5.5 By End-User Vertical
- 5.5.1 Banking, Financial Services and Insurance (BFSI)
- 5.5.2 Healthcare and Life Sciences
- 5.5.3 Manufacturing
- 5.5.4 Retail and Ecommerce
- 5.5.5 Transportation and Logistics
- 5.5.6 Energy and Utilities
- 5.5.7 Government and Public Sector
- 5.5.8 IT and Telecom
- 5.5.9 Hospitality and Travel
5.6 By Geography
- 5.6.1 North America
- 5.6.1.1 United States
- 5.6.1.2 Canada
- 5.6.1.3 Mexico
- 5.6.2 South America
- 5.6.2.1 Brazil
- 5.6.2.2 Argentina
- 5.6.2.3 Rest of South America
- 5.6.3 Europe
- 5.6.3.1 United Kingdom
- 5.6.3.2 Germany
- 5.6.3.3 France
- 5.6.3.4 Italy
- 5.6.3.5 Spain
- 5.6.3.6 Russia
- 5.6.3.7 Rest of Europe
- 5.6.4 Asia-Pacific
- 5.6.4.1 China
- 5.6.4.2 India
- 5.6.4.3 Japan
- 5.6.4.4 South Korea
- 5.6.4.5 ASEAN
- 5.6.4.6 Rest of Asia-Pacific
- 5.6.5 Middle East and Africa
- 5.6.5.1 Middle East
- 5.6.5.1.1 Saudi Arabia
- 5.6.5.1.2 United Arab Emirates
- 5.6.5.1.3 Turkey
- 5.6.5.1.4 Rest of Middle East
- 5.6.5.2 Africa
- 5.6.5.2.1 South Africa
- 5.6.5.2.2 Nigeria
- 5.6.5.2.3 Rest of Africa

6. COMPETITIVE LANDSCAPE

6.1 Market Concentration
6.2 Strategic Moves
6.3 Market Share Analysis
6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
- 6.4.1 UiPath Inc.
- 6.4.2 Automation Anywhere, Inc.
- 6.4.3 Blue Prism Ltd. (SS&C Technologies Holdings, Inc.)
- 6.4.4 Pegasystems Inc.
- 6.4.5 IBM Corporation
- 6.4.6 Microsoft Corporation
- 6.4.7 SAP SE
- 6.4.8 Appian Corporation
- 6.4.9 Tungsten Automation, Inc.
- 6.4.10 WorkFusion, Inc.
- 6.4.11 NICE Ltd.
- 6.4.12 Cognizant Technology Solutions Corporation
- 6.4.13 Tata Consultancy Services Limited
- 6.4.14 Accenture plc
- 6.4.15 Capgemini SE
- 6.4.16 Wipro Limited
- 6.4.17 Infosys Limited
- 6.4.18 HCL Technologies Limited
- 6.4.19 OpenText Corporation
- 6.4.20 Hyland Software, Inc.
- 6.4.21 ABBYY Solutions Limited
- 6.4.22 Celonis SE
- 6.4.23 Laiye Technology Co., Ltd.
- 6.4.24 ServiceNow, Inc.
- 6.4.25 Salesforce, Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

7.1 White-space and Unmet-Need Assessment

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Global Intelligent Process Automation Market Report Scope

Intelligent Process Automation is a technology framework that combines artificial intelligence, machine learning, robotic process automation and cognitive tools to automate complex business processes. Unlike traditional automation, IPA enhances decision-making, adapts to changing conditions and continuously improves processes by learning from data. It automates tasks ranging from routine data entry to more complex decision-making and customer interactions. IPA enables businesses to improve efficiency, reduce operational costs, and enhance accuracy while freeing up human workers for more strategic tasks.

The study tracks the revenue generated from the sale of intelligent process automation products and services by various companies worldwide. It also tracks the key market parameters, underlying growth influencers, and major manufacturers operating in the industry, which supports the market estimations and growth rates over the forecast period. The study further analyses the overall impact of macroeconomic factors on the market. The report’s scope encompasses market sizing and forecasts for the various market segments.

The intelligent process automation market is segmented by technology (robotic process automation, artificial intelligence, machine learning, natural language processing, computer vision, and cognitive automation), by deployment (on premise, cloud based, and hybrid), by end user vertical (BFSI, IT and telecom, healthcare, manufacturing, retail and e-commerce, government and public sector, energy and utilities, transportation and logistics, hospitality and travel) and by geography (North america, Europe, Asia-Pacific, Latin America, Middle East and Africa). The market sizes and forecasts are provided in terms of value (USD) for all the above segments.

By Technology	Robotic Process Automation (RPA)
	Natural Language Processing (NLP)
	Computer Vision
	Cognitive Agents and Chatbots
	Process Mining and Discovery
	Integrated IPA Suites
By Component	Platform / Software

	Services	Consulting and Advisory
		Integration and Implementation
		Managed Services
By Deployment	On-premise
	Cloud
	Hybrid
By Organization Size	Large Enterprises
	Small and Medium Enterprises (SMEs)
By End-User Vertical	Banking, Financial Services and Insurance (BFSI)
	Healthcare and Life Sciences
	Manufacturing
	Retail and Ecommerce
	Transportation and Logistics
	Energy and Utilities
	Government and Public Sector
	IT and Telecom
	Hospitality and Travel

By Geography	North America	United States
		Canada
		Mexico

	South America	Brazil
		Argentina
		Rest of South America

	Europe	United Kingdom
		Germany
		France
		Italy
		Spain
		Russia
		Rest of Europe

	Asia-Pacific	China
		India
		Japan
		South Korea
		ASEAN
		Rest of Asia-Pacific

	Middle East and Africa	Middle East	Saudi Arabia
			United Arab Emirates
			Turkey
			Rest of Middle East

		Africa	South Africa
			Nigeria
			Rest of Africa

By Technology

Robotic Process Automation (RPA)

Natural Language Processing (NLP)

Computer Vision

Cognitive Agents and Chatbots

Process Mining and Discovery

Integrated IPA Suites

By Component

Platform / Software
Services	Consulting and Advisory
	Integration and Implementation
	Managed Services

By Deployment

On-premise

Cloud

Hybrid

By Organization Size

Large Enterprises

Small and Medium Enterprises (SMEs)

By End-User Vertical

Banking, Financial Services and Insurance (BFSI)

Healthcare and Life Sciences

Manufacturing

Retail and Ecommerce

Transportation and Logistics

Energy and Utilities

Government and Public Sector

IT and Telecom

Hospitality and Travel

By Geography

North America	United States
	Canada
	Mexico
South America	Brazil
	Argentina
	Rest of South America
Europe	United Kingdom
	Germany
	France
	Italy
	Spain
	Russia
	Rest of Europe
Asia-Pacific	China
	India
	Japan
	South Korea
	ASEAN
	Rest of Asia-Pacific

Middle East and Africa	Middle East	Saudi Arabia
		United Arab Emirates
		Turkey
		Rest of Middle East

	Africa	South Africa
		Nigeria
		Rest of Africa

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Key Questions Answered in the Report

What is the current value of the intelligent process automation market?

The market was valued at USD 15.42 billion in 2025 and is forecast to climb to USD 32.76 billion by 2030.

Which technology segment leads revenue today?

Robotic Process Automation held 43.4% of the intelligent process automation market share in 2024.

Why are cloud deployments growing so quickly?

Cloud models captured 54.5% revenue in 2024 as subscription pricing, built-in AI services, and faster deployment cycles attracted both large enterprises and SMEs.

Which end-user industry is expanding the fastest?

Healthcare and Life Sciences are projected to grow at a 25.3% CAGR, driven by claims automation and electronic medical-record processing.

What regional market will grow the quickest through 2030?

Asia-Pacific is expected to expand at a 21.2% CAGR as enterprises adopt cloud-native automation and governments incentivize digital transformation.

How fragmented is vendor competition?

The market scores 5 on a 1–10 concentration scale, indicating moderate concentration with room for emerging specialists alongside established leaders.

Page last updated on: June 24, 2025