AI in Workforce Automation Market - Forecasts from 2025 to 2030
Description
The AI in Workforce Automation Market is expected to grow at a CAGR of 17.01%, reaching a market size of US$ 18.522 billion in 2030 from US$ 8.44 billion in 2025.
Artificial intelligence is increasingly being used to automate various tasks, processes and functions within the workforce in organizations. It is increasingly being used in various industries like healthcare, manufacturing, retail, banking & finance, logistics, supply chain management and others to automate tasks like assembling, and welding in the manufacturing industry, diagnosing disease in healthcare, inventory management in retail, fraud detection, customer support through virtual assistants in the banking & finance industry, optimizing delivery routes in logistics & supply chain industry among various other tasks in other industries.
Market Trends:
Enhanced Efficiency and Cost Savings Fuel Market Expansion: The rising demand for AI in workforce automation is driving market growth by streamlining tasks, processes, and functions across industries. Examples include automating inventory management in retail, optimizing delivery routes in logistics, and enhancing customer support in banking and finance. AI-powered automation boosts operational efficiency by reducing human error and freeing up human resources from repetitive tasks, allowing focus on more complex work. A Salesforce survey revealed that over 90% of workers reported higher productivity with automation solutions, while nearly 90% noted faster decision-making due to minimized errors. Additionally, automation cuts costs by improving efficiency, further accelerating the growth of the AI in workforce automation market.
North America to Lead Market Share: Geographically, North America is projected to command the largest share of the AI in Workforce Automation Market during the forecast period. The region’s mature and expanding AI ecosystem, coupled with significant investments in research and innovation, is driving technological advancements and market growth. The presence of major players like IBM, Microsoft, Philips Healthcare, and DHL (for logistics automation) further strengthens North America’s position as a market leader.
Growth in Europe and Asia-Pacific: Europe is also expected to see substantial growth, fueled by increasing AI adoption and demand for workforce automation solutions. Meanwhile, the Asia-Pacific region is poised for significant expansion during the forecast period, driven by growing AI uptake in countries such as China, Japan, South Korea, and India. The rapid economic development in nations like India and China is boosting industries such as banking, finance, manufacturing, logistics, supply chain, and retail, heightening the need for AI to automate workforce tasks and processes, thereby contributing to notable regional growth.
Some of the major players covered in this report include IBM , ABB , Siemens, Amazon Web Services, UiPath, Automation Anywhere Inc., DHL Group, FedEx Corp., among others.
Key Benefits of this Report:
Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence
Report Coverage:
Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The AI in the Workforce Automation Market is analysed into the following segments:
By Component
Software & Services
Hardware
By Deployment
On-Premises
Cloud-based
By Size of Organisation
Small & Medium Enterprises
Large Enterprises
By Industry Vertical
Healthcare
Retail
Manufacturing
Banking & Finance
Supply Chain
Others
By Geography
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
China
Japan
South Korea
Australia
India
Indonesia
Thailand
Others
Artificial intelligence is increasingly being used to automate various tasks, processes and functions within the workforce in organizations. It is increasingly being used in various industries like healthcare, manufacturing, retail, banking & finance, logistics, supply chain management and others to automate tasks like assembling, and welding in the manufacturing industry, diagnosing disease in healthcare, inventory management in retail, fraud detection, customer support through virtual assistants in the banking & finance industry, optimizing delivery routes in logistics & supply chain industry among various other tasks in other industries.
Market Trends:
Enhanced Efficiency and Cost Savings Fuel Market Expansion: The rising demand for AI in workforce automation is driving market growth by streamlining tasks, processes, and functions across industries. Examples include automating inventory management in retail, optimizing delivery routes in logistics, and enhancing customer support in banking and finance. AI-powered automation boosts operational efficiency by reducing human error and freeing up human resources from repetitive tasks, allowing focus on more complex work. A Salesforce survey revealed that over 90% of workers reported higher productivity with automation solutions, while nearly 90% noted faster decision-making due to minimized errors. Additionally, automation cuts costs by improving efficiency, further accelerating the growth of the AI in workforce automation market.
North America to Lead Market Share: Geographically, North America is projected to command the largest share of the AI in Workforce Automation Market during the forecast period. The region’s mature and expanding AI ecosystem, coupled with significant investments in research and innovation, is driving technological advancements and market growth. The presence of major players like IBM, Microsoft, Philips Healthcare, and DHL (for logistics automation) further strengthens North America’s position as a market leader.
Growth in Europe and Asia-Pacific: Europe is also expected to see substantial growth, fueled by increasing AI adoption and demand for workforce automation solutions. Meanwhile, the Asia-Pacific region is poised for significant expansion during the forecast period, driven by growing AI uptake in countries such as China, Japan, South Korea, and India. The rapid economic development in nations like India and China is boosting industries such as banking, finance, manufacturing, logistics, supply chain, and retail, heightening the need for AI to automate workforce tasks and processes, thereby contributing to notable regional growth.
Some of the major players covered in this report include IBM , ABB , Siemens, Amazon Web Services, UiPath, Automation Anywhere Inc., DHL Group, FedEx Corp., among others.
Key Benefits of this Report:
Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.
What do businesses use our reports for?
Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence
Report Coverage:
Historical data from 2022 to 2024 & forecast data from 2025 to 2030
Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
Competitive Positioning, Strategies, and Market Share Analysis
Revenue Growth and Forecast Assessment of segments and regions including countries
Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
The AI in the Workforce Automation Market is analysed into the following segments:
By Component
Software & Services
Hardware
By Deployment
On-Premises
Cloud-based
By Size of Organisation
Small & Medium Enterprises
Large Enterprises
By Industry Vertical
Healthcare
Retail
Manufacturing
Banking & Finance
Supply Chain
Others
By Geography
North America
USA
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
China
Japan
South Korea
Australia
India
Indonesia
Thailand
Others
Table of Contents
148 Pages
- 1. INTRODUCTION
- 1.1. Market Overview
- 1.2. Market Definition
- 1.3. Scope of the Study
- 1.4. Market Segmentation
- 1.5. Currency
- 1.6. Assumptions
- 1.7. Base and Forecast Years Timeline
- 1.8. Key Benefits to the Stakeholder
- 2. RESEARCH METHODOLOGY
- 2.1. Research Design
- 2.2. Research Processes
- 3. EXECUTIVE SUMMARY
- 3.1. Key Findings
- 3.2. CXO Perspective
- 4. MARKET DYNAMICS
- 4.1. Market Drivers
- 4.2. Market Restraints
- 4.3. Porter’s Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
- 4.4. Industry Value Chain Analysis
- 4.5. Analyst View
- 5. AI IN WORKFORCE AUTOMATION MARKET BY COMPONENT
- 5.1. Introduction
- 5.2. Software & Services
- 5.3. Hardware
- 6. AI IN WORKFORCE AUTOMATION MARKET BY DEPLOYMENT
- 6.1. Introduction
- 6.2. On-Premises
- 6.3. Cloud-based
- 7. AI IN WORKFORCE AUTOMATION MARKET BY SIZE OF ORGANISATION
- 7.1. Introduction
- 7.2. Small & Medium Enterprises
- 7.3. Large Enterprises
- 8. AI IN WORKFORCE AUTOMATION MARKET BY INDUSTRY VERTICAL
- 8.1. Introduction
- 8.2. Healthcare
- 8.3. Retail
- 8.4. Manufacturing
- 8.5. Banking & Finance
- 8.6. Supply Chain
- 8.7. Others
- 9. AI IN WORKFORCE AUTOMATION MARKET BY GEOGRAPHY
- 9.1. Introduction
- 9.2. North America
- 9.2.1. By Component
- 9.2.2. By Deployment
- 9.2.3. By Size of Organization
- 9.2.4. By Industry-Vertical
- 9.2.5. By Country
- 9.2.5.1. USA
- 9.2.5.2. Canada
- 9.2.5.3. Mexico
- 9.3. South America
- 9.3.1. By Component
- 9.3.2. By Deployment
- 9.3.3. By Size of Organization
- 9.3.4. By Industry-Vertical
- 9.3.5. By Country
- 9.3.5.1. Brazil
- 9.3.5.2. Argentina
- 9.3.5.3. Others
- 9.4. Europe
- 9.4.1. By Component
- 9.4.2. By Deployment
- 9.4.3. By Size of Organization
- 9.4.4. By Industry-Vertical
- 9.4.5. By Country
- 9.4.5.1. United Kingdom
- 9.4.5.2. Germany
- 9.4.5.3. France
- 9.4.5.4. Spain
- 9.4.5.5. Others
- 9.5. Middle East and Africa
- 9.5.1. By Component
- 9.5.2. By Deployment
- 9.5.3. By Size of Organization
- 9.5.4. By Industry-Vertical
- 9.5.5. By Country
- 9.5.5.1. Saudi Arabia
- 9.5.5.2. UAE
- 9.5.5.3. Others
- 9.6. Asia Pacific
- 9.6.1. By Component
- 9.6.2. By Deployment
- 9.6.3. By Size of Organization
- 9.6.4. By Industry-Vertical
- 9.6.5. By Country
- 9.6.5.1. China
- 9.6.5.2. Japan
- 9.6.5.3. South Korea
- 9.6.5.4. Australia
- 9.6.5.5. India
- 9.6.5.6. Indonesia
- 9.6.5.7. Thailand
- 9.6.5.8. Others
- 10. COMPETITIVE ENVIRONMENT AND ANALYSIS
- 10.1. Major Players and Strategy Analysis
- 10.2. Market Share Analysis
- 10.3. Mergers, Acquisitions, Agreements, and Collaborations
- 10.4. Competitive Dashboard
- 11. COMPANY PROFILES
- 11.1. IBM
- 11.2. ABB
- 11.3. Siemens
- 11.4. Amazon Web Services
- 11.5. UiPath
- 11.6. Automation Anywhere Inc.
- 11.7. Blue Prism Limited
- 11.8. Philips Healthcare
- 11.9. SAP
- 11.10. Microsoft
- 11.11. Salesforce Inc.
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