Artificial Intelligence-Driven Hyperautomation

Global Artificial Intelligence-Driven Hyperautomation Market to Reach US$144.9 Billion by 2030

The global market for Artificial Intelligence-Driven Hyperautomation estimated at US$49.1 Billion in the year 2024, is expected to reach US$144.9 Billion by 2030, growing at a CAGR of 19.8% over the analysis period 2024-2030. Solutions Component, one of the segments analyzed in the report, is expected to record a 17.9% CAGR and reach US$88.8 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 23.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$12.9 Billion While China is Forecast to Grow at 18.8% CAGR

The Artificial Intelligence-Driven Hyperautomation market in the U.S. is estimated at US$12.9 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$22.3 Billion by the year 2030 trailing a CAGR of 18.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 17.9% and 17.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.7% CAGR.

Global Artificial Intelligence-Driven Hyperautomation Market – Key Trends & Drivers Summarized

Why Is AI-Driven Hyperautomation Transforming Enterprise Efficiency, Resilience, and Scalability Across Sectors?
Artificial Intelligence (AI)-driven hyperautomation is emerging as a critical enterprise capability by integrating advanced AI technologies with robotic process automation (RPA), workflow orchestration, and low-code/no-code development to drive end-to-end automation of business and IT processes. Unlike traditional automation, which is rule-based and task-specific, hyperautomation leverages AI, machine learning, natural language processing (NLP), and computer vision to automate decision-making, adapt to unstructured data, and scale across complex workflows.

The acceleration of digital transformation, increased pressure on cost optimization, and the rise of remote and hybrid work models are propelling demand for intelligent automation. AI enhances automation by enabling bots to learn from historical data, interact with users conversationally, and make dynamic decisions in response to real-time inputs. This capability transforms hyperautomation from an operational tool into a strategic asset, unlocking productivity gains, reducing errors, and improving compliance in sectors such as banking, healthcare, retail, telecom, logistics, and government.

Hyperautomation is also being embraced as a resilience strategy in response to economic volatility, talent shortages, and supply chain disruptions. Enterprises are deploying AI-driven automation to stabilize operations, scale services without increasing headcount, and create self-healing workflows that reduce dependency on manual interventions. By automating across front-, middle-, and back-office functions, organizations gain agility and data visibility that support long-term digital maturity and competitive advantage.

How Are AI Technologies, Process Mining, and Intelligent Orchestration Expanding Hyperautomation Capabilities?
AI technologies such as machine learning, NLP, and deep learning are powering hyperautomation platforms with cognitive capabilities. These tools interpret human language, recognize patterns, and predict outcomes—enabling automation of high-variability processes such as invoice processing, claims adjudication, loan approvals, and customer onboarding. Computer vision and intelligent document processing (IDP) further allow the extraction and classification of data from semi-structured or handwritten documents, eliminating manual input tasks in legacy workflows.

Process mining and task mining technologies are being used to discover automation opportunities by analyzing digital footprints across enterprise systems. These tools map process flows, identify inefficiencies, and simulate automation scenarios to prioritize the highest-value opportunities. AI models enhance this analysis by predicting process deviations and recommending optimization strategies, creating a data-driven foundation for scalable, continuous improvement.

Intelligent orchestration engines coordinate a wide array of automation assets—RPA bots, APIs, human approvals, AI models—within a unified workflow. These orchestration layers use AI to dynamically route tasks, monitor process health, and adapt workflows based on performance metrics or external triggers. Integration with enterprise systems such as ERP, CRM, and ITSM platforms ensures seamless automation across siloed functions. Hyperautomation platforms are increasingly cloud-native, modular, and API-driven to support decentralized teams, hybrid architectures, and evolving business requirements.

Which Industry Verticals and Regional Markets Are Leading the Shift Toward AI-Driven Hyperautomation?
Banking, financial services, and insurance (BFSI) lead adoption due to high volumes of repetitive, compliance-heavy processes that benefit from cognitive automation. AI-driven hyperautomation is being used to streamline KYC verification, claims processing, fraud detection, and loan servicing—improving turnaround times, customer experience, and regulatory adherence. In healthcare, providers are automating administrative workflows such as patient scheduling, billing, and medical records processing to reduce costs and enhance care coordination.

Retail and logistics firms are implementing hyperautomation to manage dynamic supply chains, automate fulfillment processes, and personalize customer interactions. In telecom and utilities, service providers are using AI-powered automation to handle customer support, order management, and predictive maintenance. Manufacturing sectors are combining AI with industrial IoT and MES platforms to drive intelligent production planning, quality control, and shop floor automation.

Regionally, North America and Western Europe lead in enterprise adoption of hyperautomation platforms, driven by cloud maturity, advanced AI ecosystems, and operational digitization mandates. Asia-Pacific is experiencing fast growth, especially in India, China, Japan, and Southeast Asia, where digital-first enterprises and government-backed automation incentives are driving adoption. In Latin America and the Middle East, demand is rising among banks, telcos, and public sector organizations seeking to modernize legacy infrastructure and overcome labor-intensive workflows.

How Are Platform Convergence, Governance, and ROI Optimization Shaping Market Strategies?
The hyperautomation market is undergoing platform convergence, where vendors are integrating RPA, AI/ML, low-code tools, analytics, and process discovery into unified offerings. This “one-stop” approach reduces vendor fragmentation, simplifies governance, and enables broader adoption across non-technical users. Market leaders are investing in ecosystem extensibility, offering connectors, pre-built use cases, and developer toolkits that accelerate deployment and customization.

Governance is becoming a strategic priority as enterprises scale hyperautomation initiatives across departments and geographies. AI explainability, data lineage, and audit trails are essential to maintaining compliance, especially in regulated industries. Hyperautomation governance frameworks are incorporating role-based access, centralized policy enforcement, and monitoring dashboards to ensure consistent standards and accountability across the automation lifecycle.

Return on investment (ROI) remains a key metric, with enterprises tracking automation benefits in terms of labor savings, error reduction, speed gains, and customer satisfaction. AI is enabling dynamic ROI optimization by continuously analyzing workflow performance, retraining models, and reallocating resources to maximize throughput and business value. As the market matures, decision-makers are prioritizing platforms that deliver measurable impact, integrate with strategic systems, and scale with minimal incremental cost.

What Are the Factors Driving Growth in the AI-Driven Hyperautomation Market?
The AI-driven hyperautomation market is experiencing robust growth as organizations prioritize intelligent transformation, operational agility, and resource optimization. By combining cognitive AI with automation technologies, hyperautomation delivers exponential value across both front-line service delivery and back-office efficiency.

Key drivers include rising demand for end-to-end automation, increased complexity of hybrid work models, growing reliance on real-time decision-making, and the need to bridge IT-OT silos. The convergence of cloud-native platforms, AI model accessibility, and citizen developer tools is expanding the addressable market across enterprises of all sizes.

Looking forward, the trajectory of AI-driven hyperautomation will hinge on how effectively vendors balance platform complexity with usability, embed governance and trust into automation decisions, and enable continuous innovation at scale. As enterprises evolve toward self-optimizing systems, could AI-powered hyperautomation become the foundation of autonomous digital operations?

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence-Driven Hyperautomation market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Solutions, Services); Technology (Robotic Process Automation, Machine Learning, Natural Language Processing, AI & Cognitive Computing, Intelligent Document Processing, Business Process Management, Other Technologies); Function (Process Automation, Data Analytics & Insights, Customer Service Automation, IT Operations Automation, Business Process Management & Optimization, Document Processing Automation, Other Functions)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 36 Featured) -

• Accenture plc
• Amelia (IPsoft Inc.)
• AntWorks Pte Ltd.
• Appian Corporation
• Automation Anywhere, Inc.
• AutomationEdge
• Blue Prism (SS&C Technologies)
• Cognite AS
• Cognizant Technology Solutions
• Datamatics Global Services Ltd.
• Deloitte Touche Tohmatsu Limited
• Hyperscience
• IBM Corporation
• Infosys Limited
• Kofax Inc.
• Microsoft Corporation
• NICE Ltd.
• Oracle Corporation
• Pegasystems Inc.
• Persistent Systems Ltd.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA
CHINA
MEXICO
CANADA
EU
JAPAN
INDIA
176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

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