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Market Research Report

Robotic Process Automation in Telecoms & Insurance: Vendor Positioning, Strategies & Forecasts 2019-2024

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Robotic Process Automation in Telecoms & Insurance: Vendor Positioning, Strategies & Forecasts 2019-2024
Published: July 16, 2019 Content info:
Description

Juniper Research's new research into Robotic Process Automation in Telecoms & Insurance provides an in-depth evaluation of the emerging technology, including current market drivers and barriers in the RPA (Robotics Process Automation) market. The research also evaluates key strategic opportunities for companies investing in RPA technology.

The research evaluates RPA in industries, including:

  • Telecommunications
  • Insurance

Juniper Research assesses the rollout of RPA solutions, aligned with 5-year forecasts for technology adoption and spend. It also provides a detailed analysis of the vendor landscape through the Juniper Research Leaderboard, aligned to a series of strategic recommendations for key industry stakeholders.

The research suite comprises of:

  • Deep Dive Strategy & Competition (PDF)
  • Deep Dive Data and 5-Year Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)
  • 12 months' access to harvest online data platform

Key Features

  • Market Dynamics & RPA Evolution Analysis: Provides an extensive evaluation of RPA adoption by enterprises, covering the following elements:
    • Drivers for RPA
    • Juniper Research's Gradual RPA Adoption Model
    • RPA Decision Three
    • 'Next Steps' for RPA
  • Sector Dynamics: Multi-segment strategic assessment breakdown; examining RPA strategic benefits and implementation, business model innovation and future outlook for the telecommunications and insurance industries.
  • Interviews with Leading RPA Vendors: 12 interviews with leading RPA industry stakeholders.
  • Juniper Research Leaderboard: Leading RPA vendors compared, scored and positioned on the Juniper Research Leaderboard, including:
    • Another Monday
    • Autologyx
    • Automation Anywhere
    • AutomationEdge
    • Blue Prism
    • Datamatics
    • EdgeVerve
    • Kofax
    • Kryon
    • Nice
    • Nintex
    • Option3
    • Pegasystems
    • Softomotive
    • Thoughtonomy
    • UiPath
    • WorkFusion
  • Benchmark Industry Forecasts: Market forecasts for adoption of RPA services, the average spend per company and total spend, across key industry verticals including:
    • Telecommunications
    • Insurance

Key Questions

  • 1.What are the key technological and disruptive innovations affecting the telecommunications and insurance industries?
  • 2.How can RPA enable companies to gain time and cost savings?
  • 3.What are the main obstacles to the adoption of RPA and AI and how can companies mitigate these obstacles?
  • 4.What is the revenue opportunity for RPA vendors over the next 5 years?
  • 5.Which RPA vendors are currently leading the market and enabling the biggest efficiency gains?

Companies Referenced

Interviewed: Another Monday, Automation Anywhere, AutomationEdge, Datamatics, Nintex, Option3, Thoughtonomy, UiPath, WorkFusion.

Profiled: Another Monday, Autologyx, Automation Anywhere, AutomationEdge, Blue Prism, Datamatics, EdgeVerve, Kofax, Kryon, Nice, Nintex, Option3, Pegasystems, Softomotive, Thoughtonomy, UiPath, WorkFusion.

Case Studied: Liberty Global, Telefónica, Tokio Marine HCC, VIVAT, Vodafone.

Mentioned: A2 Consulting, ABBYY, Above, Accenture, Active.AI, Admiral Insurance, Adobe, AIG, Airbus, Allianz, Amazon, Amdocs, American Express, AMN Healthcare, AT&T, Atos, Audi, Axis Bank, Banca Mifel, Bank Dhofar, Bank Muscat, BCG, BMC, Brand Embassy, C 4C, Calibrate, Capgemini, Capita, Causata, Cisco, Citrix, Coca-Cola, Cognizant, Coty, Cybercomm Group, Deloitte, Deutsche Bahn, Deutsche Telekom, DFCU Bank, Diageo, Domino's, , DuPont, eBay, EMC, Emirates NBD, EnableSoft, Epam, Equity, Ericsson, EuroStat, Eversheds Sutherland, EY, FCMB, Fidelity, FinBots, FIS, Fujitsu, FutureTrade, Google, GreySoft, Grupo Bancolombia, Guidant Group, HCL, HDFC Life, Heineken, Heritage Bank, HNB, HP, HPB, IBM, ICICI Bank, Impellam, Infosys, Infruid Labs, ING, Ingram Micro, Intel, InTheChat, ISG, Jaggaer, Kotak, KPMG, KrisFinSoft, LegalGeek, Lexmark International, Linear SIX, LinkedIn, Lloyds Bank, Luxoft, Marriott, Mashreq Bank, Mattersight, Mau Bank, McDonald's, Medacs, Microsoft, Navicon, NEC, Nexidia, Nice InContract, Nordea Bank, O2, OECD, Oracle, PA, Pfizer, Previo, Promapp, Proservartner, PWC, qBotica, R1, Randstad, RedKite Financial Markets, RPATech, Salesforce, Santander, SAP, Siemens, Silicon Graphics, SIX Financial Information, Stac, Standard Bank, Tata Consultancy Services, Teva, The Headlights Group AG, Thoma Bravo, Thomas Cook, ThoughtSpot, Top Image Systems, Toymaster, Unilever, Vodafone, Volkswagen, Volvo, Vysiion, Walmart, Wipro, WorkFlex Solutions, World Bank, Xerox.

Data & Interactive Forecast

Juniper Research's Robotic Process Automation in Telecoms & Insurance forecast suite includes:

  • Segment splits for:
    • RPA platform revenues in Telecommunications
      • Number of Businesses in the Telecommunications Industry Investing in RPA
      • Average Annual Spend on RPA per Telecommunications Company
      • Total Robotic Process Automation Revenue, Telecommunications
  • RPA platform revenues in Insurance
    • Number of Businesses in the Insurance Industry Investing in RPA
    • Average Annual Spend on RPA per Insurance Company
    • Total Robotic Process Automation Spend by Insurance Companies per Annum
  • Regional splits for 8 key regions, including 11 country level data splits:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for 4 different metrics.
  • Access to the full set of forecast data of 16 tables and over 1,900 datapoints.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

Table of Contents

1. Deep Dive Strategy & Competition Table of Contents

1. RPA, AI & Machine Learning for Enterprise Competitiveness

  • 1.1 Introduction
  • 1.2 RPA Evolution & Adoption Model
    • Figure 1.1: Juniper Phased Evolution Model
    • 1.2.1 Phase 1
    • 1.2.2 Phase 2
    • 1.2.3 Phase 13
    • Table 1.2: Gradual Automation Adoption Model
  • 1.3 Automation Decision Tree
    • 1.3.1 Suitable Processes Characteristics
    • 1.3.2 Suitable Technical Components
    • Figure 1.3: Automation Decision Tree
  • 1.4 Main Drivers for Automation
  • 1.5 Next Steps for RPA
    • 1.5.1 Chatbots Improvement

2. Telecommunications Industry Overview

  • 2.1 Telecoms Market Overview
    • 2.1.1 Industry Landscape
    • 2.1.2 Telecoms Main Pain Points
  • 2.2 Telecoms Impact Assessment
    • 2.2.1 Summary
    • Table 2.2: RPA in Telecoms Impact Assessment
    • Table 2.3: RPA in Telecoms Impact Assessment Methodology
  • 2.3 Reasons to Invest in RPA
    • 2.3.1 Main Strategic Opportunities for Telecoms Companies
  • 2.4 Benefits of RPA
    • 2.4.1 Customer-centric Approach
    • 2.4.2 Accelerates M&A Integration
    • 2.4.3 Additional Benefits: Employee Satisfaction
    • Case Study: Telefónica's Investment in Automation
    • Case Study: Vodafone Transforming To Always-on Customer Engagement
    • Case Study: Liberty Global Achieves Digital Transformation
    • Case Study: Spanish Telecomsmunications service Provider

3. Insurance Industry Overview

  • 3.1 Insurance Industry Overview
    • 3.1.1 Legacy Systems & Disparate Applications
    • Case Study: Regional Auto Insurance agency
    • 3.1.3 Back-office Inefficiency
    • 3.1.4 Demand for Better Services
    • Case Study: Tokyo Marine Brings Agility to Insurance
    • Case Study: VIVAT Eliminates Processes Complexity
  • 3.2 Insurance Impact Assessment
    • 3.2.1 Summary
    • Table 3.2: Insurance Activities & Tasks Likely to be Automated
    • Table 3.3: RPA in Insurance Impact Assessment
    • Table 3.4: RPA in Insurance Impact Assessment Methodology
  • 3.3 Benefits of RPA
    • 3.3.1 Claims Management
    • 3.3.2 Policyholder Service
    • 3.3.3 Underwriting
    • 3.3.4 Agency Management
    • 3.3.5 Data Management & Finance

4. Competitive Landscape

  • 4.1 Introduction
  • 4.2 Vendor Analysis & Juniper Research Leaderboard
    • Table 4.1: RPA in Telecoms & Insurance vendor Capability Assessment Factors
    • 4.2.1 Juniper Research Positioning Matrix Results
    • Table 4.2: RPA in Telecoms & Insurance Positioning Matrix Results
    • Figure 4.3: Juniper Research Leaderboard for RPA in Telecoms & Insurance
    • 4.2.2 Vendor Groupings
      • i. Summary
      • ii. Established Leaders
      • iii. Leading Challengers
      • iv. Disruptors & Emulators
  • 4.3 RPA in Telecoms & Insurance Movers & Shakers
  • 4.4 Vendor Profile
    • 4.4.1 Another Monday
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.4.2 Autologyx
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.3 Automation Anywhere
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.4 AutomationEdge
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.5 Blue Prism
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.6 Datamatics
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.7 EdgeVerve
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.8 Kofax
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.9 Kryon
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.10 Nice
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.11 Nintex
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.12 Option3
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.13 Pegasystems
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.14 Softmotive
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.15 Thoughtonomy
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.16 UiPath
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities
    • 4.4.17 WorkFusion
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • Iv. High Level View of Offerings
      • v. Juniper Research's View: Key Strengths & Development Opportunities

2. Deep Dive Data & Forecasting Table of Contents

1. RPA in Telecoms & Insurance: Market Forecast Summary

  • 1.1 RPA, AI & Machine Learning in Enterprise Competitiveness
    • 1.1.1 Main Drivers for Automation
  • 1.2 Automation Decision Tree
    • Figure 1.1: Processes Automation Decision Tree
  • 1.3 Telecommunications Industry Overview
    • 1.3.1 Telecoms Main Pain Points
    • 1.1 Insurance Industry Overview

2. RPA in Telecoms & Insurance: Market Sizing & Forecasts

  • 2.1 Introduction
  • 2.2 Methodology & Assumptions
    • 2.2.1 Telecommunications Companies
    • Figure 2.1: RPA in the Telecommunications Market Forecast Methodology
    • 2.2.2 Insurance Companies
    • Figure 2.2: RPA in Insurance Market Forecast Methodology
  • 2.3 Market forecasts: Telecoms
    • 2.3.1 Number of Businesses in the Telecoms Industry Investing in RPA
    • Figure 2.3: Number of Businesses in Telco Industry Investing in RPA Year End, Split by 8 Key Regions 2019-2024
    • 2.3.2 Proportion of Businesses in the Telecommunications Industry Investing in RPA
    • Figure 2.4: Proportion of Businesses in the Telecommunications Industry investing in RPA (%), Split by 8 Key Reigns 2019-2024
    • 2.3.3 Average Annual Spend on RPA per Telecommunications Company
    • Figure 2.5: Average Annual Spend on RPA per Telecommunications Company ($), Split by 8 Key Reigns 2019-2024
    • 2.3.4 Total Robotic Process Automation Spend by Telecoms Companies per Annum ($m)
    • Figure 2.6: Total Robotic Process Automation Revenue in Telecoms ($m), Split by 8 Key Reigns 2019-2024
  • 2.4 Market Forecasts: Insurance
    • 2.4.1 Number of Businesses in the Insurance Industry Investing in RPA
    • Figure 2.7: Number of Businesses in the Insurance Industry Investing in RPA Year End, Split by 8 Key Reigns 2019-2024
    • 2.4.2 Proportion of Businesses in the Insurance Industry investing in RPA
    • Figure 2.8: Proportion of Businesses in the Insurance Industry investing in RPA (%), Split by 8 Key Reigns 2019-2024
    • 2.4.3 Average Annual Spend on RPA per Insurance Company
    • Figure 2.9: Average Annual Spend on RPA per Insurance Company ($), Split by 8 Key Reigns 2019-2024
    • 2.4.4 Total Robotic Process Automation Spend by Insurance Companies per Annum
    • Figure 2.10: Total Robotic Process Automation Spend by Insurance Companies per Annum ($m), Split by 8 Key Reigns 2019-2024
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