市場調査レポート

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1080384

企業向け・人工知能活用型セルフサービスの分析 (2022年～2023年)

2022 - 2023 AI-Enabled Self-Service for the Enterprise Report

出版日: 2022年05月26日 | 発行: DMG Consulting LLC

| ページ情報: 英文 | 納期: 即日から翌営業日

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概要
図表
目次

概要

インテリジェント仮想エージェント (IVA) やバーチャルアシスタント (VA) は、セルフサービスの変革に不可欠な存在です。各企業では膨大な量の問い合わせに対応するために自動化が不可欠となっているため、IVA/VAにより顧客体験 (CX) を向上させ、エージェントを惹き付けようとしています。今後は対話型IVAが広く普及すると考えられています。IVA/VAの活用領域も拡大しつつあり、現在でもコンタクトセンターたサービス部門でその進化を発揮していますが、今後は顧客・従業員向けセルフサービス機能の向上に用いられていくものと思われます。

当レポートでは、世界の企業向け・人工知能活用型セルフサービス (インテリジェント仮想エージェント/バーチャルアシスタント (IVA/VA)) 市場について分析し、技術の定義や概略、主な促進要因と課題、現在の技術水準と今後の見通し、今後の市場動向・競争情勢、主要ベンダーのプロファイル・業績動向、といった情報を取りまとめてお届けいたします。

IVA：セルフサービス・コンシェルジュ

分析結果・要約：ベンダーカテゴリ
分析結果・要約：IVA/VA機能
分析結果・要約：IVAの顧客対応機能
分析結果・要約：VAのエージェント/従業員向け機能
顧客の背景と洞察
- IVA/VAに対応したチャネル
- IVA/VAを使用する他の企業部門
- IVA/VAの上位3社～5社の課題
- 追加コメント

第19章企業分析

Five9、Inc.
Kore.ai
Omilia Natural Language Solutions Ltd.
Verint Systems

付録：IVA/VAベンダーの一覧

図表

Table of Figures

Figure 1: The IVA: Self-Service Concierge
Figure 2: Virtual Assistant
Figure 3: IVA vs. IVR
Figure 4: Robotic Process Automation
Figure 5: IVA/VA vs. RPA
Figure 6: IVA/VA Trends
Figure 7: IVA/VA Challenges
Figure 8: New Product Features, by Vendor
Figure 9: Future Enhancements, by Category
Figure 10: Data is the Key to a Successful AI Initiative
Figure 11: Technical Components Summary
Figure 12: Customer-Facing Intelligent Virtual Agent Applications
Figure 13: Agent/Employee-Facing Virtual Assistant Applications
Figure 14: Enterprise Use Cases
Figure 15: IVA Development Studio
Figure 16: Design and Content Development Environment
Figure 17: Robotic Process Automation (RPA)
Figure 18: Customer Experience (CX)
Figure 19: Real-Time Guidance
Figure 20: Agent/Employee Experience
Figure 21: IVA/VA Projections, based on Number of Customers, 2022 - 2026
Figure 22: IVA/VA Competitive Landscape
Figure 23: Company Information, as of December 31, 2021
Figure 24: Product Information
Figure 25: High-Level Technical Summary
Figure 26: Integration
Figure 27: Security and Compliance
Figure 28: High-Level Functional Capabilities
Figure 29: Dashboards, Reporting and KPIs
Figure 30: Implementation Analysis
Figure 31: IVA/VA Benefits and ROI
Figure 32: IVA/VA Pricing Structure
Figure 33: Customer Survey Rating Categories
Figure 34: Average Vendor Satisfaction Ratings, by Category
Figure 35: Product Satisfaction Ratings, by Customer
Figure 36: Implementation Satisfaction Ratings, by Customer
Figure 37: Training Satisfaction Ratings, by Customer
Figure 38: Professional Services Satisfaction Ratings, by Customer
Figure 39: Ongoing Service & Support Satisfaction Ratings, by Customer
Figure 40: Product Innovation Satisfaction Ratings, by Customer
Figure 41: Responsiveness to Product Enhancement Requests Satisfaction Ratings, by Customer
Figure 42: Vendor Communication Satisfaction Ratings, by Customer
Figure 43: Pricing Satisfaction Ratings, by Customer
Figure 44: Overall Vendor Satisfaction Ratings, by Customer
Figure 45: Average Intelligent Virtual Agent/Virtual Assistant Capabilities Satisfaction Ratings, by Category
Figure 46: Omni-Channel Capabilities Satisfaction Ratings, by Customer
Figure 47: Multi-Lingual Capabilities Satisfaction Ratings, by Customer
Figure 48: Conversational Artificial Intelligence Capabilities Satisfaction Ratings, by Customer
Figure 49: Low/No Code Design and Development Environment Satisfaction Ratings, by Customer
Figure 50: Ease of Integration with Third-Party Applications Satisfaction Ratings, by Customer
Figure 51: Accuracy and Ongoing System Optimization Capabilities Satisfaction Ratings, by Customer
Figure 52: Average Customer-Facing Intelligent Virtual Agent Capabilities Satisfaction Ratings, by Category
Figure 53: Ability to Fully Automate Customer Inquiries without Needing a Live Agent Satisfaction Ratings, by Customer
Figure 54: Ability to Deliver an Outstanding Customer Experience Satisfaction Ratings, by Customer
Figure 55: Ability to Personalize the Customer Experience Satisfaction Ratings, by Customer
Figure 56: Ability to Maintain Context Across Multi-Modal Interactions Satisfaction Ratings, by Customer
Figure 57: Ability to Support Proactive Customer Outreach in the Customer's Preferred Channel Satisfaction Ratings, by Customer
Figure 58: Average Agent/Employee-Facing Virtual Assistant Capabilities Satisfaction Ratings, by Category
Figure 59: Ability to Improve Agent/Employee Productivity Satisfaction Ratings, by Customer
Figure 60: Ability to Improve Agent/Employee Satisfaction/Engagement Satisfaction Ratings, by Customer
Figure 61: Ability to Reduce Training/Onboarding Time Satisfaction Ratings, by Customer
Figure 62: Ability to Kick Off Automated Functions without Human Intervention Satisfaction Ratings, by Customer
Figure 63: Ability to Proactively Deliver Context-Based Real-Time Guidance Satisfaction Ratings, by Customer
Figure 64: Ability to Instruct/Assist Agents/Employees with Internal Activities Satisfaction Ratings, by Customer
Figure 65: Channels Supported by the Intelligent Virtual Agents/Virtual Assistants
Figure 66: Enterprise Departments Using Intelligent Virtual Agents/Virtual Assistants
Figure 67: Top 3- 5 Challenges of your Intelligent Virtual Agents/Virtual Assistants
Figure 68: Additional Comments about your Experience with the Vendor and/or Product.

The “2022 - 2023 AI-Enabled Self-Service for the Enterprise” report (formerly the Intelligent Virtual Agent Product and Market Report) is DMG Consulting LLC's fifth publication on the intelligent virtual agent (IVA)/virtual assistant (VA) market. The Report has been renamed to reflect the growing contributions of artificial intelligence (AI) to self-service solutions, and the expanded use cases and benefits of IVAs/VAs throughout enterprises. The Report provides an in-depth analysis of the capabilities and versatility of AI-based IVAs and VAs and their contributions to enterprises and their customers. It examines the IVA/VA market, competitive landscape, technology, products, functional capabilities, pricing and customer perception of the vendors in this fast-evolving sector. The Report presents the business, servicing, technology and market trends that are driving adoption and innovation in this highly valuable technology segment. It features 4 vendors - Five9, Kore.ai, Omilia, and Verint Systems - that offer highly effective IVA/VA solutions to help companies enhance the performance of their front- and back-office functions as well as other enterprise-wide uses. This Report is intended to help companies identify and select the right IVA/VA solution - and partner - to meet their current and future needs.

Intelligent virtual agents are already demonstrating their ability to deliver timely, conversational, concierge-type automated self-service to customers. This is essential as consumers are displaying a growing preference for helping themselves, as long as the self-service solutions do a good job. At the same time, employees are benefitting from VAs, which deliver real-time guidance to contact center agents and internal self-service functionality to employees across organizations. IVAs and VAs, which use the same underlying technology and platform to enhance the customer and employee experience, are helping companies reduce the cost of sales and service.

Consumers appreciate the convenience and flexibility that a good self-service experience provides; however, their expectations for accurate, fast and easy service, delivered in their preferred channels, must also be met. Customers are delighted to interact with an intelligent self-service solution that recognizes them, knows the context of their contact history, fully handles most requests, and discerns when to transfer them to a live agent, if needed. Today's IVAs are meeting those challenges, as they are conversational and responsive to customer needs. These innovative solutions are omni-channel by design and deliver knowledgeable and proactive service, which is altering the market's dynamics and cost structure.

The most significant misconception about IVAs is that their primary purpose is to eliminate the need for live agents. This is not their value proposition. In fact, these automated tools are more likely to enhance the performance of customer-facing employees and help retain agents as enterprises face massive increases in interaction volumes. Because IVAs can handle an increasing number of customer service and sales requests and inquiries, and VAs can provide real-time guidance and next-best-action recommendations to agents, they help companies and their employees deliver an optimal service experience, cost effectively. These solutions are changing the role of agents, positioning them to become customer advocates who can solve complex problems and build relationships, while also creating new career opportunities in service organizations and contact centers.

The inclusion of AI technology in contact center and customer experience (CX) solutions is driving the most rapid pace of innovation and change ever experienced in the service sector. Although AI is still in its early days, it is already demonstrating the ability to provide a basic form of human understanding and intelligence in self-service solutions. Artificial intelligence has proven to be able to enhance the CX while improving quality, productivity and the employee experience. Two of the most essential and impactful tools in the AI-based service revolution are IVAs and VAs. The use cases for these solutions are expanding as companies roll them out to customer-facing departments and other internal functions across the enterprise.

Based on market conditions and dynamics, and supported by innovation in AI and automation, DMG predicts rapid growth and adoption of IVA and VA solutions over the next few years. Organizations have been compelled to find new approaches to address the explosive growth of omni-channel customer inquiries arriving in their contact centers and service departments. This has given rise to the self-service transformation, which customers have embraced, and increasingly prefer. The future of IVAs and intelligent automation will present unprecedented opportunities to reimagine the service experience.

Key Elements of the Report:

IVAs and VAs are essential for the self-service transformation: Consumers are showing a distinct preference for using self-service solutions to help themselves, and enterprises have a critical need for automation to handle mounting volumes of inquiries. IVAs and VAs address these requirements, enhancing the CX and engaging agents.

Today's IVAs are innovative and responsive to customer needs: The new generation of intelligent self-service solutions are conversational and allow customers to make requests using natural language, as though they are speaking to live agents. They can interact with customers in multiple channels and provide highly effective and efficient service.

IVA and VA solutions are combatting agent attrition and transforming the agent role: Agents are demanding greater flexibility and work/life integration. To achieve this, service and sales leaders need to alter the way they treat, reward, recognize and compensate their agents. By handling an increasing percentage of customer service and sales requests, IVAs are positioning companies to elevate the agent role, allowing them to become brand ambassadors with enriched and more meaningful job opportunities.

Artificial intelligence is revolutionizing the world of self-service: AI's ability to mimic basic human understanding and intelligence is a major reason why self-service is becoming customers' preferred method of interacting with organizations.

The use cases for IVA and VA solutions are expanding: IVAs and VAs have already demonstrated their value to contact centers and service departments, but this is just the beginning. Companies are rolling out these solutions in support of departments and activities across the enterprise, as customers and employees alike appreciate the convenience of self-service capabilities.

Key Reasons to Buy This Report:

Definition of an IVA and VA, and the distinctions between IVAs, interactive voice response (IVR), and robotic process automation (RPA)

High-level overview of the underlying technical components of IVA/VA solutions

Market trends and challenges that are driving interest, adoption and innovation in this sector

IVA vendor innovation and near-term roadmaps, including new product features and what is planned to be delivered in the next 12 - 18 months

Top uses and practical application of artificial intelligence in IVA/VAs in the contact center and emerging uses in the enterprise

Low-code/no-code design environments and the tools to support intelligent self-service and automation

How IVAs are being used to deliver context-sensitive self-service that results in an enhanced and personalized CX

A look at how the real-time guidance/next best-action capabilities of VAs deliver a new and much more positive and practical approach to coaching and engaging agents

IVA vendor market activity

Review of the IVA competitive landscape, including the technology sectors that are developing AI-based IVA/VA solutions; an overview of the 4 featured IVA vendors, their product offerings and packaged solutions

Detailed side-by-side comparative analysis of the technical and functional capabilities of the 4 featured IVA/VA solutions

Implementation analysis, including vendor methodology, time frames, best practices, professional services, training/workshops, and resources required to implement and maintain each featured solution

IVA benefits and return-on-investment (ROI) analysis

IVA/VA vendor pricing structure

Results of DMG's comprehensive customer satisfaction survey, which ranks vendors based on customer satisfaction across 10 vendor categories, 6 product capabilities, 5 customer-facing IVA capabilities, 6 agent-facing VA capabilities, and 6 effectiveness categories

Detailed company reports for the 4 featured IVA/VA vendors, analyzing product functionality and near-term product roadmap deliverables

IVA Vendor Directory

The IVA: Self-Service Concierge

1. Executive Summary

2. Introduction

3. DMG Consulting Research Methodology

3.1. Report Participation Criteria

4. What is Intelligent Self-Service?

4.1. Intelligent Virtual Agents Defined
4.2. Virtual Assistants Defined
4.3. Intelligent Virtual Agents vs. Interactive Voice Response
4.4. Intelligent Virtual Agents/Virtual Assistants vs. Robotic Process Automation

5. Intelligent Virtual Agent/Virtual Assistant Trends and Challenges

5.1. Trends for the IVA/VA Market
5.2. Challenges for the IVA/VA Market

6. Intelligent Virtual Agent/Virtual Assistant Market Innovation

6.1. New Product Features
6.2. Future Enhancements

7. Artificial Intelligence in the Contact Center

7.1. Artificial Intelligence Components in IVAs/VAs
7.2. Uses and Practical Application of Artificial Intelligence in Intelligent Virtual Agents
7.3. Uses and Practical Application of Artificial Intelligence in Virtual Assistants
7.4. Enterprise IVA/VA Applications

8. Intelligent Self-Service by Design

8.1. Artificial Intelligence, IVA/VAs + Robotic Process Automation = Intelligent Automation

9. Personalizing the Self-Service Experience

10. Real-Time Guidance - Help at the Ready

11. Intelligent Virtual Agent/Virtual Assistant Market Activity Analysis

12. Intelligent Virtual Agent/Virtual Assistant Market Projections

13. Intelligent Virtual Agent/Virtual Assistant Competitive Landscape

13.1. Intelligent Virtual Agent/Virtual Assistant Company Snapshot
13.2. Intelligent Virtual Agent/Virtual Assistant Vendor Offerings and Products

14. Intelligent Virtual Agent/Virtual Assistant Technical and Functional Analysis

14.1. High-Level Technical Analysis
- 14.1.1. Integration
- 14.1.2. Security and Compliance
14.2. Intelligent Virtual Agent/Virtual Assistant High-Level Functional Analysis
- 14.2.1. Dashboards, Reporting and KPIs

15. Intelligent Virtual Agent/Virtual Assistant Implementation Analysis

16. Intelligent Virtual Agent/Virtual Assistant Benefits and Return on Investment

17. Intelligent Virtual Agent/Virtual Assistant Pricing Structure

18. Intelligent Virtual Agent/Virtual Assistant Vendor Satisfaction Analysis

18.1. Summary of Survey Findings and Analysis: Vendor Categories
- 18.1.1. Vendor Satisfaction by Category and Customer
18.2. Summary of Survey Findings and Analysis: Intelligent Virtual Agent/Virtual Assistant Capabilities
- 18.2.1. Intelligent Virtual Agent/Virtual Assistant CapabilitiesSatisfaction, by Category and Customer
18.3. Summary of Survey Findings and Analysis: Intelligent Virtual Agent Customer-Facing Capabilities
- 18.3.1. Intelligent Virtual Agent Customer-Facing Capabilities Satisfaction, by Category and Customer
18.4. Summary of Survey Findings and Analysis: Virtual Assistant Agent/Employee-Facing Capabilities
- 18.4.1. Virtual Assistant Agent/Employee-Facing Capabilities Satisfaction, by Category and Customer
18.5. Customer Background and Insights
- 18.5.1. Channels Supported by Intelligent Virtual Agent/Virtual Assistants
- 18.5.2. Other Enterprise Departments Using Intelligent Virtual Agents/Virtual Assistants
- 18.5.3. Top 3-5 Intelligent Virtual Agent/Virtual Assistant Challenges
- 18.5.4. Additional Comments

19. Company Reports

19.1. Five9, Inc.
19.2. Kore.ai
19.3. Omilia Natural Language Solutions Ltd.
19.4. Verint Systems

企業向け・人工知能活用型セルフサービスの分析 (2022年～2023年)

2022 - 2023 AI-Enabled Self-Service for the Enterprise Report

IVA：セルフサービス・コンシェルジュ

目次

第1章 エグゼクティブサマリー

第2章 イントロダクション

第3章 調査手法

第4章 インテリジェントセルフサービスとは何か？

第5章 IVA/VAの動向と課題

第6章 IVA/VA市場の革新

第7章 コンタクトセンターの人工知能

第8章 インテリジェントセルフサービス：設計別

第9章 セルフサービス体験の個別化

第10章 リアルタイムガイダンス：準備段階からの支援

第11章 IVA/VAの市場活動分析

第12章 IVA/VA市場の予測

第13章 IVA/VAの競合情勢

第14章 IVA/VAの技術的・機能的分析

第15章 IVA/VAの実装分析

第16章 IVA/VAのメリットと投資収益率

第17章 IVA/VAの料金体系

第18章 IVA/VA：ベンダー満足度の分析

第19章 企業分析