Market Analysis
published on Aug 19, 2019
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Report Overview:
NelsonHall's market analysis of Intelligent Automation Platforms consists of 58 pages.
Who is this Report for:
NelsonHall’s “Intelligent Automation Platforms” report is a comprehensive market assessment report designed for:
- Sourcing managers investigating sourcing developments within the intelligent automation platform market
- Vendor marketing, sales and business managers developing strategies to target opportunities for Intelligent Automation platforms
- Financial analysts and investors specializing in RPA and AI.
Scope of this Report:
The report analyzes the worldwide market for intelligent automation platforms and addresses the following questions:
- What is the market size and projected growth for the global intelligent automation services market by geography?
- What is the profile of activity in the global intelligent automation platform market by industry sector?
- What are the top drivers for adoption of intelligent automation platforms?
- What are the benefits currently achieved by users of intelligent automation platforms?
- What factors are inhibiting user adoption of intelligent automation platforms?
- What pricing mechanisms are typically used for intelligent automation platforms and how is this changing?
- Who are the leading intelligent automation platform vendors globally and by geography?
- What combination of features typically provided by the IA platforms and what new features are being added?
- What are the challenges and success factors within intelligent automation platform market?
Key Findings & Highlights:
Drivers currently influencing buyers use of IA can include:
- Cost reduction, in particular in staffing, remains an initial driver
- Reduced cycle times, particularly benefiting the front office operations to drive customer satisfaction ratings and new business acceptance rates (particularly in areas such as account opening and onboarding, loan application, and financial document production) . Cycle time reduction can be in the order of 70%+ for some tasks
- Reducing error rates is a key concern for organizations with significant areas of exposure to customer attrition in the case of data entry errors, making this a top driver for enterprises in BFSI and healthcare
- Improved transparency and auditability of operations
- Regulatory compliance as more standardized processes are followed, and as a consequence of the auditability of operations. In some use cases, fewer employees to be tasked with examining sensitive data such as HIPAA customer data
- Adoption of intelligent automation is increasingly seen as a sign of an organization embracing “digital” making it more attractive as an employer
- Increased ability to scale vs human employees.
While inhibitors for buyers in deploying IA include:
- Cost reduction, in particular in staffing, remains an initial driver
- Reduced cycle times, particularly benefiting the front office operations to drive customer satisfaction ratings and new business acceptance rates (particularly in areas such as account opening and onboarding, loan application, and financial document production) . Cycle time reduction can be in the order of 70%+ for some tasks
- Reducing error rates is a key concern for organizations with significant areas of exposure to customer attrition in the case of data entry errors, making this a top driver for enterprises in BFSI and healthcare
- Improved transparency and auditability of operations
- Regulatory compliance as more standardized processes are followed, and as a consequence of the auditability of operations. In some use cases, fewer employees to be tasked with examining sensitive data such as HIPAA customer data
- Adoption of intelligent automation is increasingly seen as a sign of an organization embracing “digital” making it more attractive as an employer
- Increased ability to scale vs human employees