サービスデリバリーオートメーションの世界市場予測（2022年～2027年）

世界のサービスデリバリーオートメーションの市場規模は、2020年の62億7,700万米ドルから、2027年までに207億2,300万米ドルに達し、CAGRで18.60%の成長が予測されています。

当レポートでは、世界のサービスデリバリーオートメーション市場について調査し、市場規模や予測、COVID-19の影響、市場の促進要因・抑制要因、市場動向、セグメント別の市場分析、競合情勢、主要企業のプロファイルなどの情報を提供しています。

目次

第1章 イントロダクション

• 市場概要
• COVID-19の影響
• 市場の定義
• 市場セグメンテーション

第2章 調査手法

• 調査データ
• 前提条件

第3章 エグゼクティブサマリー

• 調査のハイライト

第4章 市場力学

• 市場促進要因
• 市場抑制要因
• ポーターのファイブフォース分析
• 業界バリューチェーン分析

第5章 世界のサービスデリバリーオートメーション市場分析：タイプ別

• イントロダクション
• ITプロセスオートメーション
• ビジネスプロセスオートメーション

第6章 世界のサービスデリバリーオートメーション市場分析：エンドユーザー別

• イントロダクション
• 大企業
• 中小企業

第7章 世界のサービスデリバリーオートメーション市場分析：業界別

• イントロダクション
• ヘルスケア
• BFSI
• 旅行・ホスピタリティ
• IT・通信
• 輸送・物流
• 小売り
• その他

第8章 世界のサービスデリバリーオートメーション市場分析：地域別

• イントロダクション
• 北米
  • 米国
  • カナダ
  • メキシコ
• 南米
  • ブラジル
  • アルゼンチン
  • その他
• 欧州
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • その他
• 中東・アフリカ
  • サウジアラビア
  • アラブ首長国連邦
  • イスラエル
  • その他
• アジア太平洋
  • 中国
  • 日本
  • インド
  • 韓国
  • 台湾
  • タイ
  • インドネシア
  • その他

第9章 競合情報

• 主要企業と戦略分析
• 新興企業と市場の収益性
• 合併、買収、契約、コラボレーション
• ベンダーの競合マトリックス

第10章 企業プロファイル

• IBM
• UiPath
• Amelia US LLC
• Blue Prism Limited
• Xerox Corporation
• NICE
• Celaton Limited
• Pegasystems Inc.
• Automation Anyhwere, Inc.

The service delivery automation market is projected to increase from US$6.277 billion in 2020 to US$20.723 billion by 2027, at a CAGR of 18.60%.

A digitally enabled firm or business can alter its service delivery and operations with the use of automation, which raises the bar for cost savings, accuracy, and productivity scalability. Additionally, it produces a significant amount of important and rich data, which combines to enable smarter and quicker decision-making, from optimizing present processes and operations to foreseeing the optimum times, places, and ways to offer new goods and services.

Few small and medium-sized businesses adopt service delivery automation because of the high initial setup and integration costs. However, future time and cost savings from automating service delivery are anticipated as a result of new emerging technologies and increased market competitiveness.

Rising adoption by various industries to drive the market growth

The necessity for automation has grown significantly as industries have developed in order to make processes more nimble and provide quality services within severe time limitations. The market will expand as a result of developments in artificial intelligence as new and enhanced technologies are integrated into various service delivery automation types. High implementation costs for service delivery automation are anticipated to limit industry expansion, although profitable packages provided by suppliers to businesses can help them hold onto market share.

By End-User

By end-user, the global service delivery automation market is segmented into Large Enterprises and Small & Medium Enterprises. The large enterprise segment holds the major share of the global service delivery automation market.

By industry vertical

By industry vertical, the global service delivery automation market is segmented as healthcare, BFSI, Travel & Hospitality, IT & telecommunications, Transport & logistics, Retail, and others.

By Geography

Geographically, the global service delivery automation market is segmented as North America, South America, Europe, the Middle East and Africa, and Asia Pacific. Asia-Pacific holds a major share of the market attributed to increasing investments in IT infrastructure and business process automation.

Key Developments:

• Oct 2022: Using the UiPath Automation Technologies globally, Lenovo has increased productivity and efficiency significantly, according to an announcement from UiPath, a top provider of enterprise automation tools. With the implementation of its 3S Strategy - Smart IoT, Smart Infrastructure, and Smart Verticals for Industries - Lenovo started its enterprise-wide digital transformation. The effective deployment of corporate automation, AI, machine learning, and other integrated technologies was credited with the Lenovo Group IT digital transformation success. To increase productivity and give employees more time to focus on more fulfilling work, Lenovo has started integrating UiPath across the whole organization. Faster processes are among the extremely favorable effects thus far. Even better, because employees may now direct their focus toward more interesting, higher-order activities. The next step of the company is to consider how we might further automate various parts of Lenovo.
• Nov 2021: NTT Marketing ACT, one of the biggest business process outsourcing (BPO) companies in Japan, chose NICE Nexidia and Enlighten to automate the majority of its quality management procedures, according to a NICE announcement. NICE Enlighten is now one of the first artificial intelligence (AI) frameworks ever deployed in Japan, and it can automatically evaluate how contact centre agent activities affect customer happiness (CSAT). The launch gives NTT Marketing ACT the first-ever opportunity in the area to use an agnostic phonetic platform to take into account linguistic variations. Because it uses the largest syndicated interaction dataset, self-learning AI that was specifically created for this purpose, and NICE Enlighten, which delivers real-time and forward-looking insights into agent behavior.

Product Offerings:

• inSTREAMTM: In order to deliver Intelligent Document Processing (IDP), Celaton uses its Intelligent Process Automation (IPA) technology, inSTREAMTM, which reduces Average Handling Times (AHT) for end-to-end business processes like Accounts Payable Automation, Sales Order Processing, Correspondence Automation, delay repay claims, and Claims Processing. Customer benefits that can be delivered boost performance (Throughput inSTREAM is available 24 x 7, which, combined with the automation of tasks significantly increases the speed at which documents are processed). Faster processing times free up personnel to spend more time with customers and suppliers, providing higher service levels. Improved compliance, Low Cost of Entry, Scalability, and Improved Customer and Supplier Relationships.
• IBM Cloud Pak for Business Automation: Business Automation with IBM Cloud Pak The genius of AI-powered automation is faster processes and reduced client wait times. A modular collection of integrated software components, tailored for any hybrid cloud, the IBM Cloud Pak for Business Automation by IBM is intended to automate tasks and boost business expansion. This end-to-end automation platform aids in workflow analysis, low-code AI app design, task delegation to bots, and performance monitoring. With the help of this offering, businesses may restructure disjointed processes and achieve 97% straight-through processing, helping them to remain competitive, increase productivity, and cut expenses.

Market Segmentation:

• By Type

IT Process Automation

Business Process Automation

• By End-User

Large Enterprise

Small & Medium Enterprise

• By Industry Vertical

Healthcare

BFSI

Travel & Hospitality

IT & Telecommunication

Transport & Logistic

Retail

Others

• By Geography

North America

• USA
• Mexico
• Canada

South America

• Brazil
• Argentina
• Others

Europe

• Germany
• France
• United Kingdom
• Italy
• Others

Middle East and Africa

• Saudi Arabia
• UAE
• Israel
• Others

Asia Pacific

• India
• China
• Japan
• South Korea
• Taiwan
• Thailand
• Indonesia
• Others

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. COVID-19 Scenario
• 1.3. Market Definition
• 1.4. Market Segmentation

2. RESEARCH METHODOLOGY

• 2.1. Research Data
• 2.2. Assumptions

3. EXECUTIVE SUMMARY

• 3.1. Research Highlights

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis

5. GLOBAL SERVICE DELIVERY AUTOMATION MARKET ANALYSIS, BY TYPE

• 5.1. Introduction
• 5.2. IT Process Automation
• 5.3. Business Process Automation

6. GLOBAL SERVICE DELIVERY AUTOMATION MARKET ANALYSIS, BY END-USER

• 6.1. Introduction
• 6.2. Large Enterprise
• 6.3. SMEs

7. GLOBAL SERVICE DELIVERY AUTOMATION MARKET ANALYSIS, BY INDUSTRY VERTICAL

• 7.1. Introduction
• 7.2. Healthcare
• 7.3. BFSI
• 7.4. Travel & Hospitality
• 7.5. IT & Telecommunication
• 7.6. Transport & Logistic
• 7.7. Retail
• 7.8. Others

8. GLOBAL SERVICE DELIVERY AUTOMATION MARKET ANALYSIS, BY GEOGRAPHY

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. USA
  • 8.2.2. Canada
  • 8.2.3. Mexico
• 8.3. South America
  • 8.3.1. Brazil
  • 8.3.2. Argentina
  • 8.3.3. Others
• 8.4. Europe
  • 8.4.1. Germany
  • 8.4.2. France
  • 8.4.3. United Kingdom
  • 8.4.4. Italy
  • 8.4.5. Others
• 8.5. Middle East and Africa
  • 8.5.1. Saudi Arabia
  • 8.5.2. UAE
  • 8.5.3. Israel
  • 8.5.4. Others
• 8.6. Asia Pacific
  • 8.6.1. China
  • 8.6.2. Japan
  • 8.6.3. India
  • 8.6.4. South Korea
  • 8.6.5. Taiwan
  • 8.6.6. Thailand
  • 8.6.7. Indonesia
  • 8.6.8. Others

9. COMPETITIVE INTELLIGENCE

• 9.1. Major Players and Strategy Analysis
• 9.2. Emerging Players and Market Lucrativeness
• 9.3. Mergers, Acquisitions, Agreements, and Collaborations
• 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

• 10.1. IBM
• 10.2. UiPath
• 10.3. Amelia US LLC
• 10.4. Blue Prism Limited
• 10.5. Xerox Corporation
• 10.6. NICE
• 10.7. Celaton Limited
• 10.8. Pegasystems Inc.
• 10.9. Automation Anyhwere, Inc.