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保険産業におけるロボティックプロセスオートメーション:ベンダの位置づけ、戦略、予測 2019-2024年


Robotic Process Automation in Insurance

このレポートは保険業界におけるロボティックプロセスオートメーション(RPA)市場に着目し、2024年までの市場予測やベンダの位置づけなどを掲載しています。 主な掲載内容 ... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 言語
Juniper Research
ジュニパーリサーチ社
2019年7月24日 GBP2,250
企業ライセンス(PDF+Excel)
ライセンス・価格情報
注文方法はこちら
66 英語

 

サマリー

このレポートは保険業界におけるロボティックプロセスオートメーション(RPA)市場に着目し、2024年までの市場予測やベンダの位置づけなどを掲載しています。

主な掲載内容

  • 保険業界でRPAに投資するビジネス数
  • 保険会社1社当たりのRPAへの平均年間支出
  • RPAへの保険会社の年間総支出
  • 地域別分析
    • カナダ
    • 中国
    • デンマーク
    • ドイツ
    • 日本
    • ノルウェー
    • ポルトガル
    • スペイン
    • スウェーデン
    • 英国
    • 米国

Overview

Juniper Research’s new research into Robotic Process Automation in Insurance provides an in-depth evaluation of the emerging technology, including market drivers and barriers in the RPA (Robotics Process Automation) market. Juniper Research assesses the roll-out of RPA solutions in insurance, aligned with 5-year forecasts for technology adoption and spend. It also provides a detailed vendor landscape analysis through the Juniper Research Leaderboard; aligned to a series of strategic recommendations for key industry stakeholders.

The research suite comprises of:

  • Market Trends & Opportunities (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)
  • 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
  • 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 the insurance industry.

Key Questions

  1. What are the key technological and disruptive innovations affecting the insurance industry?
  2. How can RPA enable insurance service providers 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 from insurance providers for RPA vendors over the next 5 years?
  5. Which RPA vendors are currently leading the market and enabling the biggest efficiency gains?

Data & Interactive Forecast

Juniper Research’s Robotic Process Automation in Insurance forecast suite includes:
  • RPA in Insurance forecasts:
    • 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
  1. Interactive Scenario Tool allowing users to manipulate Juniper Research’s data for 2 different metrics.
  2. Access to the full set of forecast data of 8 tables and over 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.

 



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目次

Table of Contents

1. Key Takeaways

1.1 Key Takeaways . 6
1.1.1 Main Barriers to Automation. 6
i. The Fear of Job Replacement . 6
ii. Lack of RPA Skilled Workers . 6
iii. Use of Multiple RPA Providers at the Same Time . 7
iv. Readiness for Digital Transformation . 7
1.2 Strategic Recommendations . 9

2. RPA, AI & Machine Learning for Enterprise Competitiveness

2.1 Introduction . 11
2.2 RPA Evolution & Adoption Model . 11
Figure 1.1: Juniper Phased Evolution Model . 11
2.2.1 Phase 1 . 12
2.2.2 Phase 2 . 12
2.2.3 Phase 3 . 12
Table 1.2: Gradual Automation Adoption Model . 13
2.3 Automation Decision Tree . 14
2.3.1 Suitable Processes Characteristics . 14
2.3.2 Suitable Technical Components . 14
Figure 1.3: Automation Decision Tree . 15
2.4 Main Drivers for Automation . 15
2.5 Next Steps for RPA . 16
2.5.1 Chatbots Improvement . 16

3. Insurance Industry Overview

3.1 Insurance Industry Overview . 18
3.1.1 Legacy Systems & Disparate Applications . 18
Figure 3.1: Number & Value of M&As in Insurance Industry, 1985-2018 . 18
Case Study: Regional Auto Insurance Agency . 19
3.1.2 Regulation & Compliance . 20
3.1.3 Back-office Inefficiency . 20
3.1.4 Demand for Better Services . 20
Case Study: Tokio Marine Brings Agility to Insurance . 21
Case Study: VIVAT Eliminates Processes Complexity . 22
3.2 Insurance Impact Assessment . 22
3.2.1 Summary . 22
Table 3.2: Insurance Activities & Tasks Likely to be Automated . 23
Table 3.3: RPA in Insurance Impact Assessment . 23
Table 3.4: RPA in Insurance Impact Assessment Methodology . 24
3.3 Benefits of RPA . 24
3.3.1 Claims Management . 25
3.3.2 Policyholder Service . 26
3.3.3 Underwriting . 26
3.3.4 Agency Management . 26
3.3.5 Data Management & Finance . 27

4. Competitive Landscape

4.1 Introduction . 29
4.2 Vendor Analysis & Juniper Research Leaderboard . 29
Table 4.1: RPA in Insurance Vendor Capability Assessment Factors . 30
4.2.1 Juniper Research Positioning Matrix Results. 31
Table 4.2: RPA in Insurance Positioning Matrix Results . 31
Figure 4.3: Juniper Research Leaderboard for RPA in Insurance . 32
4.2.2 Vendor Groupings . 33
i. Summary . 33
ii. Established Leaders . 33
iii. Leading Challengers . 33
iv. Disruptors & Emulators . 34
4.3 RPA in Insurance Movers & Shakers . 36
4.4 Vendor Profile . 38
4.4.1 Another Monday. 38
i. Corporate . 38
ii. Geographical Spread . 38
iii. Key Clients & Strategic Partnerships . 38
iv. High Level View of Offerings . 38
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 39
4.4.2 Autologyx . 39
i. Corporate . 39
ii. Geographical Spread . 39
iii. Key Clients & Strategic Partnerships . 39
iv. High Level View of Offerings . 39
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 40
4.4.3 Automation Anywhere . 40
i. Corporate . 40
ii. Geographical Spread. 41
iii. Key Clients & Strategic Partnerships . 41
iv. High Level View of Offerings . 41
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 41
4.4.4 AutomationEdge . 42
i. Corporate . 42
ii. Geographical Spread. 42
iii. Key Clients & Strategic Partnerships . 42
iv. High Level View of Offerings . 42
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 42
4.4.5 Blue Prism . 43
i. Corporate . 43
ii. Geographical Spread. 43
iii. Key Clients & Strategic Partnerships . 43
iv. High Level View of Offerings . 43
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 43
4.4.6 Datamatics . 44
i. Corporate . 44
ii. Geographical Spread. 44
iii. Key Clients & Strategic Partnerships . 44
iv. High Level View of Offerings . 44
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 45
4.4.7 EdgeVerve . 45
i. Corporate . 45
ii. Geographic Spread . 46
iii. Key Clients & Strategic Partnerships . 46
iv. High Level View of Offerings . 46
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 46
4.4.8 Kofax . 46
i. Corporate . 46
ii. Geographical Spread . 47
iii. Key Clients & Strategic Partnerships . 47
iv. High Level View of Offerings . 47
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 48
4.4.9 Kryon. 48
i. Corporate . 48
ii. Geographical Spread . 48
iii. Key Clients & Strategic Partnerships . 48
iv. High Level View of Offerings . 48
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 49
4.4.10 Nice . 49
i. Corporate . 49
Table 4.4: Nice Acquisitions Since 2011 . 50
ii. Geographical Spread. 50
iii. Key Clients & Strategic Partnerships . 50
iv. High Level View of Offerings . 50
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 50
4.4.11 Nintex . 51
i. Corporate . 51
ii. Geographical Spread. 51
iii. Key Clients & Strategic Partnerships . 51
iv. High Level View of Offerings . 51
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 52
4.4.12 Option3 . 52
i. Corporate . 52
ii. Geographical Spread. 52
iii. Key Clients & Strategic Partnerships . 52
iv. High Level View of Offerings . 52
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 53
4.4.13 Pegasystems . 53
i. Corporate . 53
ii. Geographical Spread. 53
iii. Key Clients & Strategic Partnerships . 53
iv. High Level View of Offerings . 53
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 54
4.4.14 Softomotive . 54
i. Corporate . 54
ii. Geographical Spread . 54
iii. Key Clients & Strategic Partnerships . 54
iv. High Level View of Offerings . 54
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 55
4.4.15 Thoughtonomy . 55
i. Corporate . 55
ii. Geographical Spread . 55
iii. Key Clients & Strategic Partnerships . 55
iv. High Level View of Offerings . 55
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 56
4.4.16 UiPath. 56
i. Corporate . 56
ii. Geographical Spread . 56
iii. Key Clients & Strategic Partnerships . 56
iv. High Level View of Offerings . 56
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 57
4.4.17 WorkFusion . 57
i. Corporate . 57
ii. Geographical Spread . 57
iii. Key Clients & Strategic Partnerships . 58
iv. High Level View of Offerings . 58
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 58

5. RPA in Insurance: Market Sizing & Forecasts

5.1 Introduction . 61
5.2 Methodology & Assumptions . 61
5.2.1 Insurance Companies . 61
Figure 2.2: RPA in Insurance Market Forecast Methodology . 62
5.3 Market Forecasts: Insurance . 63
5.3.1 Number of Businesses in the Insurance Industry Investing in RPA . 63
Figure & Table 2.7: Number of Businesses in the Insurance Industry Investing in
RPA Year End, Split by 8 Key Regions 2019-2024 . 63
5.3.2 Proportion of Businesses in the Insurance Industry Investing in RPA . 64
Figure & Table 2.8: Proportion of Businesses in the Insurance Industry investing
in RPA (%), Split by 8 Key Regions 2019-2024 . 64
5.3.3 Average Annual Spend on RPA per Insurance Company . 65
Figure & Table 2.9: Average Annual Spend on RPA per Insurance Company ($),
Split by 8 Key Regions 2019-2024 . 65
5.3.4 Total Robotic Process Automation Spend by Insurance
Companies per Annum . 66
Figure & Table 2.10: Total Robotic Process Automation Spend by Insurance
Companies per Annum ($m), Split by 8 Key Regions 2019-2024 . 66

 

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Summary

このレポートは保険業界におけるロボティックプロセスオートメーション(RPA)市場に着目し、2024年までの市場予測やベンダの位置づけなどを掲載しています。

主な掲載内容

  • 保険業界でRPAに投資するビジネス数
  • 保険会社1社当たりのRPAへの平均年間支出
  • RPAへの保険会社の年間総支出
  • 地域別分析
    • カナダ
    • 中国
    • デンマーク
    • ドイツ
    • 日本
    • ノルウェー
    • ポルトガル
    • スペイン
    • スウェーデン
    • 英国
    • 米国

Overview

Juniper Research’s new research into Robotic Process Automation in Insurance provides an in-depth evaluation of the emerging technology, including market drivers and barriers in the RPA (Robotics Process Automation) market. Juniper Research assesses the roll-out of RPA solutions in insurance, aligned with 5-year forecasts for technology adoption and spend. It also provides a detailed vendor landscape analysis through the Juniper Research Leaderboard; aligned to a series of strategic recommendations for key industry stakeholders.

The research suite comprises of:

  • Market Trends & Opportunities (PDF)
  • 5-Year Market Sizing & Forecast Spreadsheet (Excel)
  • 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
  • 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 the insurance industry.

Key Questions

  1. What are the key technological and disruptive innovations affecting the insurance industry?
  2. How can RPA enable insurance service providers 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 from insurance providers for RPA vendors over the next 5 years?
  5. Which RPA vendors are currently leading the market and enabling the biggest efficiency gains?

Data & Interactive Forecast

Juniper Research’s Robotic Process Automation in Insurance forecast suite includes:
  • RPA in Insurance forecasts:
    • 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
  1. Interactive Scenario Tool allowing users to manipulate Juniper Research’s data for 2 different metrics.
  2. Access to the full set of forecast data of 8 tables and over 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.

 



ページTOPに戻る


Table of Contents

Table of Contents

1. Key Takeaways

1.1 Key Takeaways . 6
1.1.1 Main Barriers to Automation. 6
i. The Fear of Job Replacement . 6
ii. Lack of RPA Skilled Workers . 6
iii. Use of Multiple RPA Providers at the Same Time . 7
iv. Readiness for Digital Transformation . 7
1.2 Strategic Recommendations . 9

2. RPA, AI & Machine Learning for Enterprise Competitiveness

2.1 Introduction . 11
2.2 RPA Evolution & Adoption Model . 11
Figure 1.1: Juniper Phased Evolution Model . 11
2.2.1 Phase 1 . 12
2.2.2 Phase 2 . 12
2.2.3 Phase 3 . 12
Table 1.2: Gradual Automation Adoption Model . 13
2.3 Automation Decision Tree . 14
2.3.1 Suitable Processes Characteristics . 14
2.3.2 Suitable Technical Components . 14
Figure 1.3: Automation Decision Tree . 15
2.4 Main Drivers for Automation . 15
2.5 Next Steps for RPA . 16
2.5.1 Chatbots Improvement . 16

3. Insurance Industry Overview

3.1 Insurance Industry Overview . 18
3.1.1 Legacy Systems & Disparate Applications . 18
Figure 3.1: Number & Value of M&As in Insurance Industry, 1985-2018 . 18
Case Study: Regional Auto Insurance Agency . 19
3.1.2 Regulation & Compliance . 20
3.1.3 Back-office Inefficiency . 20
3.1.4 Demand for Better Services . 20
Case Study: Tokio Marine Brings Agility to Insurance . 21
Case Study: VIVAT Eliminates Processes Complexity . 22
3.2 Insurance Impact Assessment . 22
3.2.1 Summary . 22
Table 3.2: Insurance Activities & Tasks Likely to be Automated . 23
Table 3.3: RPA in Insurance Impact Assessment . 23
Table 3.4: RPA in Insurance Impact Assessment Methodology . 24
3.3 Benefits of RPA . 24
3.3.1 Claims Management . 25
3.3.2 Policyholder Service . 26
3.3.3 Underwriting . 26
3.3.4 Agency Management . 26
3.3.5 Data Management & Finance . 27

4. Competitive Landscape

4.1 Introduction . 29
4.2 Vendor Analysis & Juniper Research Leaderboard . 29
Table 4.1: RPA in Insurance Vendor Capability Assessment Factors . 30
4.2.1 Juniper Research Positioning Matrix Results. 31
Table 4.2: RPA in Insurance Positioning Matrix Results . 31
Figure 4.3: Juniper Research Leaderboard for RPA in Insurance . 32
4.2.2 Vendor Groupings . 33
i. Summary . 33
ii. Established Leaders . 33
iii. Leading Challengers . 33
iv. Disruptors & Emulators . 34
4.3 RPA in Insurance Movers & Shakers . 36
4.4 Vendor Profile . 38
4.4.1 Another Monday. 38
i. Corporate . 38
ii. Geographical Spread . 38
iii. Key Clients & Strategic Partnerships . 38
iv. High Level View of Offerings . 38
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 39
4.4.2 Autologyx . 39
i. Corporate . 39
ii. Geographical Spread . 39
iii. Key Clients & Strategic Partnerships . 39
iv. High Level View of Offerings . 39
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 40
4.4.3 Automation Anywhere . 40
i. Corporate . 40
ii. Geographical Spread. 41
iii. Key Clients & Strategic Partnerships . 41
iv. High Level View of Offerings . 41
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 41
4.4.4 AutomationEdge . 42
i. Corporate . 42
ii. Geographical Spread. 42
iii. Key Clients & Strategic Partnerships . 42
iv. High Level View of Offerings . 42
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 42
4.4.5 Blue Prism . 43
i. Corporate . 43
ii. Geographical Spread. 43
iii. Key Clients & Strategic Partnerships . 43
iv. High Level View of Offerings . 43
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 43
4.4.6 Datamatics . 44
i. Corporate . 44
ii. Geographical Spread. 44
iii. Key Clients & Strategic Partnerships . 44
iv. High Level View of Offerings . 44
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 45
4.4.7 EdgeVerve . 45
i. Corporate . 45
ii. Geographic Spread . 46
iii. Key Clients & Strategic Partnerships . 46
iv. High Level View of Offerings . 46
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 46
4.4.8 Kofax . 46
i. Corporate . 46
ii. Geographical Spread . 47
iii. Key Clients & Strategic Partnerships . 47
iv. High Level View of Offerings . 47
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 48
4.4.9 Kryon. 48
i. Corporate . 48
ii. Geographical Spread . 48
iii. Key Clients & Strategic Partnerships . 48
iv. High Level View of Offerings . 48
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 49
4.4.10 Nice . 49
i. Corporate . 49
Table 4.4: Nice Acquisitions Since 2011 . 50
ii. Geographical Spread. 50
iii. Key Clients & Strategic Partnerships . 50
iv. High Level View of Offerings . 50
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 50
4.4.11 Nintex . 51
i. Corporate . 51
ii. Geographical Spread. 51
iii. Key Clients & Strategic Partnerships . 51
iv. High Level View of Offerings . 51
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 52
4.4.12 Option3 . 52
i. Corporate . 52
ii. Geographical Spread. 52
iii. Key Clients & Strategic Partnerships . 52
iv. High Level View of Offerings . 52
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 53
4.4.13 Pegasystems . 53
i. Corporate . 53
ii. Geographical Spread. 53
iii. Key Clients & Strategic Partnerships . 53
iv. High Level View of Offerings . 53
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 54
4.4.14 Softomotive . 54
i. Corporate . 54
ii. Geographical Spread . 54
iii. Key Clients & Strategic Partnerships . 54
iv. High Level View of Offerings . 54
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 55
4.4.15 Thoughtonomy . 55
i. Corporate . 55
ii. Geographical Spread . 55
iii. Key Clients & Strategic Partnerships . 55
iv. High Level View of Offerings . 55
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 56
4.4.16 UiPath. 56
i. Corporate . 56
ii. Geographical Spread . 56
iii. Key Clients & Strategic Partnerships . 56
iv. High Level View of Offerings . 56
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 57
4.4.17 WorkFusion . 57
i. Corporate . 57
ii. Geographical Spread . 57
iii. Key Clients & Strategic Partnerships . 58
iv. High Level View of Offerings . 58
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 58

5. RPA in Insurance: Market Sizing & Forecasts

5.1 Introduction . 61
5.2 Methodology & Assumptions . 61
5.2.1 Insurance Companies . 61
Figure 2.2: RPA in Insurance Market Forecast Methodology . 62
5.3 Market Forecasts: Insurance . 63
5.3.1 Number of Businesses in the Insurance Industry Investing in RPA . 63
Figure & Table 2.7: Number of Businesses in the Insurance Industry Investing in
RPA Year End, Split by 8 Key Regions 2019-2024 . 63
5.3.2 Proportion of Businesses in the Insurance Industry Investing in RPA . 64
Figure & Table 2.8: Proportion of Businesses in the Insurance Industry investing
in RPA (%), Split by 8 Key Regions 2019-2024 . 64
5.3.3 Average Annual Spend on RPA per Insurance Company . 65
Figure & Table 2.9: Average Annual Spend on RPA per Insurance Company ($),
Split by 8 Key Regions 2019-2024 . 65
5.3.4 Total Robotic Process Automation Spend by Insurance
Companies per Annum . 66
Figure & Table 2.10: Total Robotic Process Automation Spend by Insurance
Companies per Annum ($m), Split by 8 Key Regions 2019-2024 . 66

 

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