Intelligent Process Automation Market by Component (Solutions and Services), Technology (NLP, Machine & Deep Learning), Application (IT Operations, Business Process Automation, and Application Management), Vertical, and Region - Global Forecast to 2023
[146 Pages Report] Intelligent process automation empowers businesses to enhance the conventional performance of their processes using knowledge-based workflows. It is used to streamline business processes and make complex decisions faster. Intelligent process automation is principally a combination of Artificial intelligence (AI) and automation.
The objective of this report is to determine and forecast the size of the global intelligent process automation (IPA) market by technology, component, application, vertical, and region from during the forecast period, and analyze the various macroeconomic and microeconomic factors that affect market growth. The intelligent process automation market was valued at USD 6.25 billion in 2017 and is projected to reach USD 13.75 billion by 2023, at a CAGR of 12.9% from 2018 to 2023.
By application, IT operations segment to hold the largest market share during the forecast period
IT operation teams can benefit from the deployment of intelligent process automation solutions in different projects, including application and software development lifecycle management. These solutions also support various functions, such as user management, service ticket management, asset tracking, and software monitoring. Intelligent process automation solutions assist IT operation teams monitor and manage the IT lifecycle centrally and improve user experiences while reducing operational costs. In software and application development, lifecycle processes, intelligent process automation solutions provide users with a flexible solution that accelerates various development tasks, such as test automation. Benefits offered by intelligent process automation solutions are propelling the adoption of these solutions by IT operation teams. Based on application, the IT operations segment is projected to lead the intelligent process automation market during the forecast period.
By vertical, BFSI to dominate the Intelligent Process Automation Market during the forecast period
In the BFSI industry, multiple systems are linked with each other by interfaces to enable the flow of transaction-related data. Automation solutions control and monitor these interfaces to ensure seamless execution of transactions and fix bottlenecks in workflows. These solutions improve the accuracy and efficiency of various processes and assist in regulatory and compliance reporting by collating data from multiple systems and conducting validation checks to prepare information for detailed analysis. Most banks are increasingly deploying intelligent automation solutions to enhance productivity, improve cost savings, and enhance customer experience. These solutions are also used to increase process efficiency and enable employees to focus on high-value projects. Based on vertical, the BFSI segment is projected to lead the intelligent process automation market from 2018 to 2023.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia Pacific region is expected to have the highest CAGR in the intelligent process automation market during the forecast period, due to its growing technology adoption. This is due to the presence of rapidly growing economies, such as China and India. Rapid economic development, globalization, digitalization, and the increased adoption of cloud-based technologies are expected to drive the growth of the intelligent automation market in the Asia Pacific region.
Companies operating in this region benefit from flexible economic conditions, industrialization, and globalization-motivated policies of governments as well as the expanding digitalization in the region. Enterprises have readily adopted robotic process automation solutions in the past few years, and the trend is expected to gain traction with the growing presence of intelligent process automation providers, such as Blue Prism geographical expansion in the region. Such factors are expected to boost the growth of the intelligent process automation market.
Market Dynamics
Driver: Automated IT systems help serve customers dynamic requirements
According to a recent Zendesk online study, named The impact of Customer Service on Customer Lifetime Value, 66% of B2B and 52% of B2C customers stop buying after a bad customer service interaction. To reduce customer churn, companies are deploying AI-enabled solutions on customer service platforms for real-time self-service.AI technology empowers companies to change the way customer service solutions are designed to serve the dynamic customer needs. AI-assisted responses can reduce the need for human agents by adopting virtual agents or bots. AI, machine learning, and deep learning capabilities empower IT systems to understand the customer purchase intent, interact with different systems, and perform necessary tasks to address customer requirements. Virtual agents also synchronize the data across various systems to understand changing customer needs in a better way. An IPA bot programmed to retrieve the data can help resolve simple but common customer issues within a few seconds. Though customer requirements are changing continuously, AI technology and IPA tools are improving the IT systems to address such dynamic customer requirements, thereby driving the adoption of IPA tools.
Restraint: High initial cost of implementing IPA for support and less critical services
During the digital transformation of a company, most of the critical processes and workflows are automated through the deployment of IPA solutions. Using IPA solutions for less critical services and occasionally used processes and workflows can prove to be an expensive exercise for the company. According to an article published on appliedAI.com in February 2018, automation of less critical processes will deliver less value than the initial pilot, and this can lead to automation-fatigue. According to the study The New Frontier of Automation: Enterprise RPA, published in December 2017 by UiPath (US), more than 50% of organizations are struggling with technical and deployment issues of automation technology.
Opportunity: Building automation-led transformation programs using a digital workforce
With technological advancements such as AI-powered decision-making capabilities, intelligent thinking based on previous instances, and predictive analysis of future scenarios, companies are looking forward to building an automation-led digital transformation program. For instance, according to the study The New Frontier of Automation: Enterprise RPA, published in December 2017 by UiPath (US), digital transformation is improving how enterprises conduct business, requiring an increasingly broad range of technologies. 90% of survey respondents said that digital transformation is their top priority, and they are looking forward to adopting the digital workforce during the transformation. Knowledge collected through the digital workforce can be hard-coded into processes of the company using automation that enables the company to expand its abilities as it moves from record to report, analyze, and action.
Challenge: Choosing the right time and right process to implement automation
For some organizations, the first challenge is knowing where to begin for IPA. Though IPA offers various benefits, many companies and their employees are used to the set processes and systems. Also, shifting toward automation can prove to be both overwhelming and cost-intensive for employees and the organization. For example, if a manual process is inexpensive for an organization in comparison to automating the process, an organization would not spend on automating that process since it would involve large-scale investment that would not generate adequate returns. Thereby, choosing the right time and right process to implement automation is acting as one of the challenges for the growth of the market.
Scope of the Report
|
Report Metric |
Details |
|
Market size available for years |
20152023 |
|
Base year considered |
2016 |
|
Forecast period |
20182023 |
|
Forecast units |
USD billion (Value) |
|
Segments covered |
By Component (Solutions, Services), By Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others), By Technology (NLP, Machine and Deep Learning, Neural Network, Virtual Agents, Autonomous, Computer Vision), By Vertical (BFSI, Telecommunication and IT, Transport and Logistics, Media and Entertainment, Retails and e-commerce, Manufacturing, Healthcare and Life Sciences, Others) |
|
Geographies covered |
North America, Europe, Asia Pacific, RoW |
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Companies covered |
Accenture (Republic of Ireland), IBM (US), Cognizant (US), Genpact (US), Atos (France), Infosys (India), Tata Consultancy Services (India), Capgemini (France), Xerox Corporation (US), Pegasystems (US), Wipro (India), EXL Service (US), Thoughtonomy (UK), CGI Group (Canada), UiPath (Romania), HCL Technologies (India), Happiest Minds (India), Symphony Ventures (India), Avasant (US), Avanade (US), Virtual Operations (UK), Sutherland Global Services (US), KPMG (Netherlands), Tech Mahindra (India), Blue Prism (UK), and Syntel (US) |
This study segments the intelligent process automation market based on technology, component, application, vertical, and region to arrive at the market size during the forecast period.
Market by Technology
- Natural Language Processing
- Machine and Deep Learning
- Neural Networks
- Virtual Agents
- Mini bots and RPA
- Computer Vision
- Others (Video Analytics, Biometrics, Expert Systems, Sensor Processing, and Inference Engines)
Market by Component
- Solutions
- Software Tools
- Platforms
- Services
- Professional Services
- Advisory/Consulting
- Design and Implementation
- Training
- Support and Maintenance
- Managed Services
Market by Application
- IT Operations
- Business Process Automation
- Application Management
- Content Management
- Security
- Others (Human Resource Management, Incident Resolution, and Service Orchestration)
Intelligent Process Automation Market by Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Telecommunications and IT
- Transport and Logistics
- Media and Entertainment
- Retail and e-commerce
- Manufacturing
- Healthcare and Life Sciences
- Others (Travel and Hospitality, Education, Government and Public Sector, and Utilities)
Market by Region
- North America
- US
- Canada
- Europe
- UK
- Germany
- France
- Rest of Europe
- Asia Pacific
- Australia and New Zealand
- China
- Japan
- Singapore
- Rest of Asia Pacific
- RoW
- Israel
- UAE
- Mexico
- Others
Key Market Players
Accenture (Republic of Ireland), IBM (US), Cognizant (US), Genpact (US), Atos (France)
Recent Developments
- In September 2018, CGI entered into a partnership with GE. This partnership bridges information technology and operational technology (OT) in the utility industry. Both companies will focus on real-time grid operations and controls, critical infrastructure, and cybersecurity.
- In August 2018, Cognizant acquired SaaS Focus; a digital transformation company focused on the Salesforce platform. Through this acquisition, Cognizant will increase its focus in the Asia Pacific region.
- In July 2018, Atos acquired Syntel, a digital and proprietary solutions provider. Syntel will strengthen Atos business & platform solutions division worldwide.
- In March 2018, Blue Prism launched a new offering that features out of the box API integrations with AWS, Google, IBM, and Microsoft to enable operational AI (Artificial Intelligence) at scale.
- In February 2018, Sogeti, a subsidiary of Capgemini, unveiled its Cognitive QA for testing activities, such as the testing of project management and governance.
Key Questions Answered
- What are the future revenue pockets in the Intelligent Process Automation market?
- Which key developments are expected to have a long-term impact on this market?
- What are the prime strategies of leaders in the Intelligent Process Automation Market?
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
Table of Contents
1 Introduction (Page No. - 17)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders
2 Research Methodology (Page No. - 21)
2.1 Research Data
2.1.1 Breakdown of Primaries
2.1.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Research Assumptions
2.4 Limitations
3 Executive Summary (Page No. - 29)
4 Premium Insights (Page No. - 35)
4.1 Attractive Market Opportunities in the Global Market
4.2 Intelligent Process Automation Market, By Component, 2018 vs 2023
4.3 Market, By Solutions, 2018 vs 2023
4.4 Market, By Services, 2018 vs 2023
4.5 Market, By Application, 2018 vs 2023
4.6 Market, By Vertical, 2018-2023
4.7 Market Share Across Regions, 2018
4.8 Market Investment Scenario
5 Market Overview and Industry Trends (Page No. - 39)
5.1 Market Dynamics
5.1.1 Introduction
5.1.2 Drivers
5.1.2.1 Automated IT Systems Help Serve Customers Dynamic Requirements
5.1.2.2 Optimized Resource Utilization and Minimal Human Intervention Through Intelligent Automation
5.1.2.3 Faster Decision-Making Across the Organization
5.1.2.4 Increasing Investments in Digital Transformation Aiding the Intelligent Process Automation Market
5.1.3 Restraints
5.1.3.1 Addressing Governance and Compliance Requirements
5.1.3.2 High Initial Cost of Implementing IPA for Support and Less Critical Services
5.1.4 Opportunities
5.1.4.1 Developing A Single, Unified Intelligent Process Automation Tool
5.1.4.2 Building Automation-Led Transformation Programs Using Digital Workforce
5.1.5 Challenges
5.1.5.1 Choosing the Right Time and Right Process to Implement Automation
5.1.5.2 Reluctance to Adopt Automatic and Intelligent Processes
5.1.5.3 Difficulties in Rising in the Maturity Chain
5.2 Industry Trends
5.2.1 Introduction
5.2.2 Ecosystem
5.2.3 Case Studies
5.2.3.1 Case Study 1: Pnc Financial Services Group Uses IBM Business Automation Workflow and IBM Operational Decision Manager Software to Refine and Improve Business Processes
5.2.3.2 Case Study 2: Arkopharma Strengthened ITs Customer Experience With Genpact Cora Sequence Platform
5.2.3.3 Case Study 3: Hovis Uses Intelligent Process Automation to Improve the Responsiveness and Ensure Accuracy and Delivery
5.2.3.4 Case Study 4: Technology Company Uses Automation Solution to Enhance Finance Function for Greater Efficiency, Consistency, and Reliability
5.2.3.5 Case Study 5: Kiwa Register Uses Intelligent Process Automation to Improve the Processing Function for Different Types of License Requests
5.2.3.6 Case Study 6: World Hotels Deploys Robotic Automation Technology to Support Key Customer Processes
6 Intelligent Process Automation Market, By Component (Page No. - 48)
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.2 Platforms
6.3 Services
6.3.1 Professional Services
6.3.1.1 Advisory/Consulting
6.3.1.2 Design and Implementation
6.3.1.3 Training
6.3.1.4 Support and Maintenance
6.3.2 Managed Services
7 Market By Technology (Page No. - 60)
7.1 Introduction
7.2 Natural Language Processing
7.3 Machine and Deep Learning
7.4 Neural Networks
7.5 Virtual Agents
7.6 Mini Bots
7.7 Computer Vision
7.8 Others
8 Intelligent Process Automation Market, By Application (Page No. - 63)
8.1 Introduction
8.2 IT Operations
8.3 Business Process Automation
8.4 Application Management
8.5 Content Management
8.6 Security
8.7 Others
9 Market By Vertical (Page No. - 71)
9.1 Introduction
9.2 BFSI
9.3 Telecommunications and IT
9.4 Transport and Logistics
9.5 Media and Entertainment
9.6 Retail and Ecommerce
9.7 Manufacturing
9.8 Healthcare and Life Sciences
9.9 Others
10 Intelligent Process Automation Market, By Region (Page No. - 82)
10.1 Introduction
10.2 North America
10.2.1 United States
10.2.2 Canada
10.3 Europe
10.3.1 UK
10.3.2 Germany
10.3.3 France
10.3.4 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 Australia and New Zealand
10.4.3 Japan
10.4.4 Singapore
10.4.5 Rest of Asia Pacific
10.5 Rest of the World
10.5.1 Israel
10.5.2 United Arab Emirates
10.5.3 Mexico
10.5.4 Others
11 Competitive Landscape (Page No. - 103)
11.1 Overview
11.2 Competitive Situation and Trends
11.2.1 New Product Launches & Product Enhancements
11.2.2 Agreements, Alliances, Collaborations, and Partnerships
11.2.3 Acquisitions
11.2.4 Expansions
11.3 Market Ranking of Key Players
12 Company Profiles (Page No. - 113)
12.1 Accenture
(Business Overview, Products, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.2 Atos
12.3 Blue Prism
12.4 Capgemini
12.5 Cognizant
12.6 CGI
12.7 EXL
12.8 Genpact
12.9 HCL Technologies
12.1 IBM
12.11 Infosys
12.12 KPMG
12.13 Pegasystems
12.14 Syntel
12.15 TCS
12.16 Tech Mahindra
12.17 Thoughtonomy
12.18 UiPath
12.19 Wipro
12.2 Xerox
12.21 Key Innovators
12.21.1 Happiest Minds
12.21.2 Symphony Ventures
12.21.3 Avasant
12.21.4 Avanade
12.21.5 Virtual Operations
12.21.6 Sutherland Global Services
*Details on Business Overview, Products, Solutions & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
13 Appendix (Page No. - 165)
13.1 Industry Excerpts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details
List of Tables (68 Tables)
Table 1 Intelligent Process Automation Market Size, By Component, 20162023 (USD Million)
Table 2 Component: Market Size, By Region, 20162023 (USD Million)
Table 3 Solutions: Market Size, By Type, 20162023 (USD Million)
Table 4 Solutions: Market Size, By Region, 20162023 (USD Million)
Table 5 Software Tools: Market for Solutions, By Region, 20162023 (USD Million)
Table 6 Platforms: Market for Solutions, By Region, 20162023 (USD Million)
Table 7 Services: Market Size, By Type, 20162023 (USD Million)
Table 8 Services: Market Size, By Region, 20162023 (USD Million)
Table 9 Professional Services: Market Size, By Type, 20162023 (USD Million)
Table 10 Professional Services: Market Size, By Region, 20162023 (USD Million)
Table 11 Advisory/Consulting: Market for Professional Services, By Region, 20162023 (USD Million)
Table 12 Design and Implementation: Market for Professional Services, By Region, 20162023 (USD Million)
Table 13 Training: Market for Professional Services, By Region, 20162023 (USD Million)
Table 14 Support and Maintenance: Market for Professional Services, By Region, 20162023 (USD Million)
Table 15 Managed Services: Market Size, By Region, 20162023 (USD Million)
Table 16 Intelligent Process Automation Market Size, By Application, 20162023 (USD Million)
Table 17 Application: Market Size, By Region, 20162023 (USD Million)
Table 18 IT Operations: Market Size, By Region, 20162023 (USD Million)
Table 19 Business Process Automation: Market Size, By Region, 20162023 (USD Million)
Table 20 Application Management: Market Size, By Region, 20162023 (USD Million)
Table 21 Content Management: Market Size, By Region, 20162023 (USD Million)
Table 22 Security: Market Size, By Region, 20162023 (USD Million)
Table 23 Others: Market Size, By Region, 20162023 (USD Million)
Table 24 Intelligent Process Automation Market Size, By Vertical, 20162023 (USD Million)
Table 25 Vertical: Market Size, By Region, 20162023 (USD Million)
Table 26 BFSI: Market Size, By Region, 20162023 (USD Million)
Table 27 Telecommunications and IT: Market Size, By Region, 20162023 (USD Million)
Table 28 Transport and Logistics: Market Size, By Region, 20162023 (USD Million)
Table 29 Media and Entertainment: Market Size, By Region, 20162023 (USD Million)
Table 30 Retail and Ecommerce: Market Size, By Region, 20162023 (USD Million)
Table 31 Manufacturing: Market Size, By Region, 20162023 (USD Million)
Table 32 Healthcare and Life Sciences: Market Size, By Region, 20162023 (USD Million)
Table 33 Others: Intelligent Process Automation Market Size, By Region, 20162023 (USD Million)
Table 34 Intelligent Process Automation Services Market Size, By Region, 20162023 (USD Million)
Table 35 North America: Intelligent Process Automation Services Market Size, By Country, 20162023 (USD Million)
Table 36 North America: Market Size, By Component, 20162023 (USD Million)
Table 37 North America: Market Size, By Solution, 20162023 (USD Million)
Table 38 North America: Market Size, By Services, 20162023 (USD Million)
Table 39 North America: Market Size, By Professional Services, 20162023 (USD Million)
Table 40 North America: Market Size, By Application, 20162023 (USD Million)
Table 41 North America: Market Size, By Vertical, 20162023 (USD Million)
Table 42 Europe: Intelligent Process Automation Market Size, By Country, 20162023 (USD Million)
Table 43 Europe: Market Size, By Component, 20162023 (USD Million)
Table 44 Europe: Market Size, By Solution, 20162023 (USD Million)
Table 45 Europe: Market Size, By Services, 20162023 (USD Million)
Table 46 Europe: Market Size, By Professional Services, 20162023 (USD Million)
Table 47 Europe: Market Size, By Application, 20162023 (USD Million)
Table 48 Europe: Market Size, By Vertical, 20162023 (USD Million)
Table 49 Asia Pacific: Intelligent Process Automation Services Market Size, By Country, 20162023 (USD Million)
Table 50 Asia Pacific: Market Size, By Component, 20162023 (USD Million)
Table 51 Asia Pacific: Market Size, By Solution, 20162023 (USD Million)
Table 52 Asia Pacific: Market Size, By Services, 20162023 (USD Million)
Table 53 Asia Pacific: Market Size, By Professional Services, 20162023 (USD Million)
Table 54 Asia Pacific: Market Size, By Application, 20162023 (USD Million)
Table 55 Asia Pacific: Market Size, By Vertical, 20162023 (USD Million)
Table 56 RoW: Intelligent Process Automation Market Size, By Country, 20162023 (USD Million)
Table 57 RoW: Market Size, By Component, 20162023 (USD Million)
Table 58 RoW: Market Size, By Solutions, 20162023 (USD Million)
Table 59 RoW: Market Size, By Services, 20162023 (USD Million)
Table 60 RoW: Market Size, By Professional Services, 20162023 (USD Million)
Table 61 RoW: Market Size, By Applications, 20162023 (USD Million)
Table 62 RoW: Market Size, By Vertical, 20162023 (USD Million)
Table 63 Market Evaluation Framework
Table 64 New Product Launches & Product Enhancements, April 2016-August 2018
Table 65 Agreements, Alliances, Collaborations, and Partnerships, April 2016-July 2018
Table 66 Acquisitions, June 2016- August 2018
Table 67 Expansions, February 2016-August 2018
Table 68 Market Ranking of Key Players in 2017
List of Figures (58 Figures)
Figure 1 Intelligent Process Automation Market: Market Segmentation
Figure 2 Regional Scope
Figure 3 Global Market: Research Design
Figure 4 Research Methodology
Figure 5 Breakdown of Primary Interviews: By Company Type, Designation, and Region
Figure 6 Data Triangulation
Figure 7 Market Size Estimation Methodology: Bottom-Up Approach
Figure 8 Market Size Estimation Methodology: Top-Down Approach
Figure 9 Intelligent Process Automation Market Evolution
Figure 10 Market Size, 2016-2023
Figure 11 Market Analysis
Figure 12 Fastest Growing Segments in Market, 2018-2023
Figure 13 Regional Analysis, 2018
Figure 14 Increasing Demand for Improved Business Process Efficiency Drive Intelligent Process Automation Growth During Forecast Period
Figure 15 Solutions Segment to Hold Larger Market Share
Figure 16 Platforms Segment to Hold Larger Market Share
Figure 17 Professional Services Segment to Hold Larger Market Share
Figure 18 IT Operations Segment to Hold Largest Market Share
Figure 19 BFSI Segment to Hold Largest Market Share During Forecast Period
Figure 20 North America Estimated to Hold the Largest Market Share in 2018
Figure 21 Asia Pacific to Emerge as the Best Market for Investments During Forecast Period
Figure 22 Intelligent Process Automation Market: Drivers, Restraints, Opportunities, and Challenges
Figure 23 Intelligent Process Automation Ecosystem: By Technology
Figure 24 Services Segment Expected to Grow at A Higher CAGR During the Forecast Period
Figure 25 Platforms Segment Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Managed Services Expected to Grow at A Higher CAGR During the Forecast Period
Figure 27 Support and Maintenance Services Segment Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 Intelligent Process Automation Technologies
Figure 29 Business Process Automation Segment Expected to Grow at the Highest CAGR During the Forecast Period
Figure 30 Telecommunications and IT Segment Expected to Grow at the Highest CAGR During the Forecast Period
Figure 31 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 32 Asia Pacific: A Hotspot in the Intelligent Process Automation Market During the Forecast Period
Figure 33 North America: Market Snapshot
Figure 34 Asia Pacific: Market Snapshot
Figure 35 Companies Adopted Agreements, Alliances, Collaborations, & Partnerships as Key Growth Strategies Between February 2016-August 2018
Figure 36 Accenture: Company Snapshot
Figure 37 Accenture: SWOT Analysis
Figure 38 Atos: Company Snapshot
Figure 39 Atos: SWOT Analysis
Figure 40 Blue Prism: Company Snapshot
Figure 41 Capgemini: Company Snapshot
Figure 42 Cognizant: Company Snapshot
Figure 43 Cognizant: SWOT Analysis
Figure 44 CGI: Company Snapshot
Figure 45 EXL: Company Snapshot
Figure 46 Genpact: Company Snapshot
Figure 47 Genpact: SWOT Analysis
Figure 48 HCL Technologies: Company Snapshot
Figure 49 IBM: Company Snapshot
Figure 50 IBM: SWOT Analysis
Figure 51 Infosys: Company Snapshot
Figure 52 KPMG: Company Snapshot
Figure 53 Pegasystems: Company Snapshot
Figure 54 Syntel: Company Snapshot
Figure 55 TCS: Company Snapshot
Figure 56 Tech Mahindra: Company Snapshot
Figure 57 Wipro: Company Snapshot
Figure 58 Xerox: Company Snapshot
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