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市場調査レポート
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1423507

コグニティブ・オートメーションの世界市場-2024-2031

Global Cognitive Automation Market - 2024-2031

出版日: | 発行: DataM Intelligence | ページ情報: 英文 204 Pages | 納期: 約2営業日

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コグニティブ・オートメーションの世界市場-2024-2031
出版日: 2024年02月09日
発行: DataM Intelligence
ページ情報: 英文 204 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 目次
概要

概要

コグニティブ・オートメーションの世界市場は、2023年に111億米ドルに達し、2031年には260億米ドルに達すると予測され、予測期間2024-2031年のCAGRは11.6%で成長する見込みです。

コグニティブ・オートメーションとは、機械学習技術を活用し、通常は手作業が必要なタスクを自動化することを指す包括的な用語です。その結果、企業は既存の自動化技術の能力を超えてワークフローを最適化し、より高いレベルの業務効率を達成することができます。コグニティブ・オートメーションは、人件費を20~30%削減し、データ処理時間を50~60%短縮します。

市場におけるコグニティブ・オートメーション・ソリューションの利用可能性が高まっていることが、世界のコグニティブ・オートメーション市場の成長を後押ししています。例えば、2023年7月20日、Bautomate社は、組織が業務を合理化し、成長を促進するためのビジネスプロセス自動化ソリューションを発表しました。この製品は、人工知能、ビジネスプロセス管理、ロボットによるプロセス自動化、光学式文字認識をシームレスに組み合わせ、幅広いビジネスプロセスの有効性を高める。同製品は、さまざまな規模や業種のビジネスを支援する革新的なソリューションを提供し、生産性と成功の卓越したレベルを達成することを可能にします。

北米は、技術の早期導入により市場を独占している地域です。同地域の主要プレイヤーの中には、地域の市場成長を後押しするM&A戦略をとる企業もあります。例えば、2024年1月23日、デジタルコンサルティングおよびソリューション企業のZuci Systems社は、RPA業界の巨人であるUiPath社との協業を完了しました。この提携により、顧客は北米全域の企業への導入パートナーであるZuciが提供するUiPath自動化プラットフォームの専門知識を活用できるようになった。

ダイナミクス

技術の進歩

機械学習技術と人工知能の進歩により、自動化システムの認識能力が大幅に向上しています。この能力は、データからの学習、理解力、より多くの情報に基づいた意思決定を行う能力の強化に役立ち、様々な業界への普及に貢献しています。コグニティブ・オートメーションの重要な要素である自然言語処理の進歩は、人間のコミュニケーションに似た言語を理解し生成するシステムの能力をさらに向上させる。これは、チャットボット、顧客サービス、コンテンツ生成などのアプリケーションで特に有益です。

技術的に高度なコグニティブ・オートメーション・ソリューションの利用可能性が高まっていることが、予測期間中の市場成長を後押ししています。例えば、2021年05月04日、コグニティブ・オートメーション企業のKanverse.aiは、次世代コグニティブ・オートメーションプラットフォームを市場に投入しました。Kanverse Intelligent Document Processingは、Kanverse Cognitive Automationプラットフォームの基盤上に構築されています。人工知能と光学式文字認識、ビジネスルールフレームワーク、自動化を組み合わせ、総合的なソリューションを提供します。

製造業における自動化の採用拡大

コグニティブ・オートメーションは、多様な製造プロセスの合理化と最適化において極めて重要な役割を果たしています。コグニティブ機能を組み込んだ機械は、広範なデータセットを分析し、パターンを認識し、瞬時に意思決定を行うことができるため、業務効率が向上します。強化された効率は、生産サイクルの加速やリードタイムの短縮に頻繁に現れます。

コグニティブ・オートメーションは、製造装置の予知保全を促進します。センサーや様々なソースから得られるデータの分析を通じて、機械は潜在的な機器の故障を予測し、タイムリーなメンテナンスを可能にし、ダウンタイムを最小限に抑えることができます。プロアクティブ・メンテナンス戦略は、コスト削減と全体的な生産性向上の可能性を秘めています。

同市場の主要プレイヤーの中には、製造業向けにコグニティブ・オートメーションを採用している企業もあります。例えば、2023年7月18日、Jidoka Technologies社は、アバングレードのハードウェアユニット「Fujin」を発表しました。このユニットは、綿密な検査を必要とし、人間の目には感知できない平坦な表面の小さくて小さな欠陥を検出するように設計されています。Fujinはエレクトロニクス業界のプリント基板に活用できます。FUJINは、3~5ppmのスピードと98%の精度で製品の異常を検出することができます。

高いイニシャルコスト

小規模な組織では、コグニティブ・オートメーション・ソリューションの導入に多額の予算を割くことに制約があります。この制約により、採用計画が遅れたり、規模が縮小されたりする可能性があります。企業はしばしば、初期投資と期待される投資収益率(ROI)を比較検討します。ポジティブなリターンを実現するスピードに関するリスクや不確実性が認識されることで、企業は高額な初期費用にコミットすることをためらうようになります。

多額の先行投資を行えない市場の主要プレーヤーは、コグニティブ・オートメーションをより容易に導入できる競合他社に遅れをとる可能性があります。競争上の不利は、市場でのポジショニングと長期的な持続可能性に影響を及ぼす可能性があります。多額の初期コストは、組織の財務資源を圧迫し、イノベーション、研究開発など他の重要な分野への投資能力に影響を及ぼす可能性があります。この負担は、全体的なビジネスの成長と競争力に影響を与える可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 技術の進歩
      • 製造業における自動化の採用拡大
    • 抑制要因
      • 初期コストの高さ
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 タイプ別

  • ロボティック・プロセス・オートメーション
  • インテリジェント・オートメーション

第8章 デプロイメント別

  • クラウドベース
  • オンプレミス

第9章 組織規模別

  • 中小企業(SMEs)
  • 大企業

第10章 エンドユーザー別

  • BFSI
  • 製薬・ヘルスケア
  • 小売・消費財
  • 情報技術(IT)・通信
  • 通信・メディア・教育
  • 製造業
  • 物流・エネルギー・公益事業
  • その他

第11章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第12章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第13章 企業プロファイル

  • Automation Anywhere, Inc.
    • 会社概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な発展
  • Blue Prism Limited.
  • EdgeVerve Systems Limited
  • FPT Software
  • KOFAX, Inc.
  • NICE
  • NTT Advanced Technology Corporation
  • OnviSource, Inc.
  • Pegasystems Inc.
  • UiPath

第14章 付録

目次
Product Code: ICT7939

Overview

Global Cognitive Automation Market reached US$ 11.1 Billion in 2023 and is expected to reach US$ 26.0 Billion by 2031, growing with a CAGR of 11.6% during the forecast period 2024-2031.

Cognitive automation is a comprehensive term that refers to the utilization of Machine Learning technologies for automating tasks that would typically demand manual labor to be completed. Consequently, businesses can optimize their workflows beyond the capabilities of existing automation technologies, achieving a higher level of operational efficiency. Cognitive automation helps to decrease labor expenditure by 20-30% and also reduces data processing time by 50-60%.

The growing availability of cognitive automation solutions in the market helps to boost the market growth of the global cognitive automation market. For instance, on July 20, 2023, Bautomate launched a business process automation solution to empower organizations to streamline operations and drive growth. The product seamlessly combines artificial intelligence, business process management, robotic process automation and optical character recognition to boost the effectiveness of a wide range of business processes. It presents an innovative solution tailored to empower businesses across different sizes and industries, allowing them to achieve exceptional levels of productivity and success.

North America is a dominating region in the market due to the early adoption of the technologies. Some of the major key players in the region follow a merger and acquisition strategy that helps to boost regional market growth. For instance, on January 23, 2024, Zuci Systems, a digital consulting and solutions company completed a collaboration with UiPath, a titan in the RPA industry. Due to the collaboration, customers are now able to leverage UiPath automation platform expertise offered by Zuci, the implementation partner to enterprises across the North America.

Dynamics

Growing Technological Advancements

The growing advancements in machine learning techniques and artificial intelligence significantly improve the cognitive abilities of automation systems. The capability helps to enhance learning from data, comprehension and the ability to make more informed decisions, contributing to widespread adoption across various industries. Advancements in natural language processing, a vital element of cognitive automation, further improve the system's capacity to comprehend and generate language that resembles human communication. The is especially beneficial in applications like chatbots, customer service and content generation.

The growing availability of technologically advanced cognitive automation solutions helps to boost market growth over the forecast period. For instance, on May 04, 2021, Kanverse.ai, a cognitive automation company launched a next-generation cognitive automation platform in the market. The Kanverse Intelligent Document Processing is constructed on the foundation of the Kanverse Cognitive Automation platform. It combines Artificial Intelligence with Optical Character Recognition, a Business Rule Framework and Automation to provide a holistic solution.

Growing Adoption of Automation in the Manufacturing Industry

Cognitive automation plays a pivotal role in streamlining and optimizing diverse manufacturing processes. Machinery embedded with cognitive capabilities can analyze extensive datasets, recognize patterns and make instantaneous decisions, resulting in heightened operational efficiency. The enhanced efficiency frequently manifests in accelerated production cycles and diminished lead times.

Cognitive automation facilitates predictive maintenance in manufacturing equipment. Through the analysis of data derived from sensors and various sources, machines can anticipate potential equipment failures, enabling timely maintenance and minimizing downtime. The proactive maintenance strategy has the potential to generate cost savings and enhance overall productivity.

Some of the major key players in the market adopted cognitive automation for the manufacturing industry. For instance, on July 18, 2023, Jidoka Technologies launched Fujin, an avant grade hardware unit. The unit is designed to detect small and minor defects in the flat surface that require crupulous inspection and are imperceptible to the human eye. Fujin can be leveraged by the electronics industry for printed circuit boards. Fujin can detect anomalies in products with a speed of 3 to 5 ppm and an accurate rate of 98%.

High Initial Cost

Small organizations face constraints in allocating significant budgets for adopting cognitive automation solutions. The limitation may result in delayed or scaled-down adoption plans. Businesses often weigh the initial investment against the expected return on investment (ROI). The perceived risk and uncertainty regarding the speed of realizing positive returns can make organizations hesitant to commit to the high upfront costs.

Major key players in the market who are unable to make substantial upfront investments may lag behind competitors who can afford to adopt cognitive automation more readily. The competitive disadvantage can affect market positioning and long-term sustainability. The substantial initial costs can strain an organization's financial resources, affecting its ability to invest in other critical areas such as innovation, research and development. The strain may impact overall business growth and competitiveness.

Segment Analysis

The global cognitive automation market is segmented based on type, deployment, organization size, end-user and region.

Growing Demand for Monitoring Services Globally

Based on the type, the cognitive automation market is segmented into robotic process automation and intelligent automation. Organizations can automate rule-based and repetitive operations by combining robotic process automation (RPA) with cognitive capabilities. The reduces human labor requirements, which boosts efficiency.

It also results in considerable cost savings since procedures can be completed more quickly and accurately. Cognitive automation technologies, such as natural language processing and machine learning, let robots understand and analyze complicated data. The skill offers insights that might not be immediately obvious through conventional approaches, which helps promote more informed decision-making.

The growing adoption by the major key players of robotic cognitive automation helps to boost segment market growth over the forecast period. For instance, on March 09, 2023, Compass UOL launched an accelerator that integrates ChatGPT to robotic process automation platforms. The company offers two new technologies such as API and RPA.

ChatGPT stands out as a highly robust Generative AI application in the global technology market. Its foundation lies in OpenAI's GPT-3.5, boasting an impressive 175 billion parameters. The extensive parameter count empowers ChatGPT to excel in diverse interactions, including extracting and summarizing information seamlessly in a chat format, as well as generating texts across various genres and purposes.

Geographical Penetration

North America is Dominating the Cognitive Automation Market

North America accounted for the largest market share in the global cognitive automation market due to the early adoption of new technologies that play an important role in the cognitive automation ecosystem. North America generally has a robust and well-developed IT infrastructure. The includes high-speed internet, data centers and cloud computing services, which are crucial for the deployment and operation of cognitive automation systems.

Growing research and development activities by the cognitive automation by major key players in the region help to boost regional market growth over the forecast period. For instance, on December 14, 2023, ArisGlobal, a creator of LifeSphere today launched LifeSphere NavaX, a cutting-edge cognitive computing engine to expedite R&D IT Digitization by leveraging advanced technologies including Large Language Models (LLM) and Generative AI (Gen AI).

Competitive Landscape

The major global players in the market include Automation Anywhere, Inc., Blue Prism Limited., EdgeVerve Systems Limited, FPT Software, KOFAX, Inc., NICE, NTT Advanced Technology Corporation, OnviSource, Inc., Pegasystems Inc. and UiPath.

COVID-19 Impact Analysis

The availability of hardware components and IT infrastructure was affected by disruptions in the global supply chain. The influenced the deployment and implementation of cognitive automation solutions for some organizations, as they faced challenges related to procurement and logistics. Cognitive automation tools are helpful to support remote work processes and have become increasingly prominent.

The COVID-19 epidemic brought to light the importance of implementing strong organizational procedures. Cognitive automation solutions are growing useful for companies that face uncertainty because they boost decision-making, reduce manual participation and increase efficiency in operations. The pandemic's effects on global supply chains disrupted hardware components and IT infrastructure availability. The impacted the deployment and implementation of cognitive automation solutions for some organizations.

Russia-Ukraine War Impact Analysis

Geopolitical conflicts disrupt supply chains and affect the production and distribution of technology components and solutions. Major key players in the market depend on hardware or software components from the affected regions that face supply chain disruption challenges. Economic uncertainties frequently arise from geopolitical tensions, potentially causing businesses to exhibit reluctance in investing in new technologies or extending their operations. The hesitation can have repercussions on the expansion of the cognitive automation market.

Fluctuations in currency values resulting from geopolitical events can influence the pricing of technology products and services. Businesses that operate with various currencies may encounter financial obstacles, impacting their capacity to invest in cognitive automation solutions. Geopolitical occurrences may trigger modifications in regulations, influencing the compliance obligations for enterprises. Alterations in laws related to data protection, export/import regulations or intellectual property can exert an impact on the cognitive automation market.

By Type

  • Robotic Process Automation
  • Intelligent Automation

By Deployment

  • Cloud-based
  • On-Premise

By Organization Size

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By End-User

  • BFSI
  • Pharma & Healthcare
  • Retail & Consumer Goods
  • Information Technology (IT) & Telecom
  • Communication and Media & Education
  • Manufacturing
  • Logistics and Energy & Utilities
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • On May 04, 2021, Kanverse.ai launched next-generation cognitive automation platform and launches intelligent document processing product in the market. Kanverse Intelligent Document Processing is developed on the foundation of the Kanverse Cognitive Automation platform. The comprehensive solution integrates Artificial Intelligence (AI) with Optical Character Recognition, a Business Rule Framework and Automation capabilities.
  • On May 14, 2023, TCS launched 5G-enabled 'Cognitive Plant Operations Adviser' for industrial cos.
  • On November 09, 2022, Alibaba Cloud introduced the ModelScope platform and new solutions to minimize the barrier to commercializing company innovation. At its premier conference, the largest cloud services provider globally also introduced a fresh series of serverless database solutions and bolstered its integrated platform for data analytics and cognitive computing. The enhancements aim to help clients achieve heightened business innovation through the utilization of cloud technologies.

Why Purchase the Report?

  • To visualize the global cognitive automation market segmentation based on type, deployment, organization size, end-user and region, as well as understand key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of cognitive automation market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global cognitive automation market report would provide approximately 70 tables, 65 figures and 204 Pages.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Type
  • 3.2. Snippet by Deployment
  • 3.3. Snippet by Organization Size
  • 3.4. Snippet by End-User
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Growing Technological Advancements
      • 4.1.1.2. Growing Adoption of Automation in the Manufacturing Industry
    • 4.1.2. Restraints
      • 4.1.2.1. High Initial Cost
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Porter's Five Force Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis
  • 5.5. Russia-Ukraine War Impact Analysis
  • 5.6. DMI Opinion

6. COVID-19 Analysis

  • 6.1. Analysis of COVID-19
    • 6.1.1. Scenario Before COVID
    • 6.1.2. Scenario During COVID
    • 6.1.3. Scenario Post COVID
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. By Type

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 7.1.2. Market Attractiveness Index, By Type
  • 7.2. Robotic Process Automation*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Intelligent Automation

8. By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Cloud-based*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. By Organization Size

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 9.1.2. Market Attractiveness Index, By Organization Size
  • 9.2. Small and Medium-sized Enterprises (SMEs)*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Large Enterprises

10. By End-User

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 10.1.2. Market Attractiveness Index, By End-User
  • 10.2. BFSI*
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Pharma & Healthcare
  • 10.4. Retail & Consumer Goods
  • 10.5. Information Technology (IT) & Telecom
  • 10.6. Communication and Media & Education
  • 10.7. Manufacturing
  • 10.8. Logistics and Energy & Utilities
  • 10.9. Others

11. By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.7.1. U.S.
      • 11.2.7.2. Canada
      • 11.2.7.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.7.1. Germany
      • 11.3.7.2. UK
      • 11.3.7.3. France
      • 11.3.7.4. Italy
      • 11.3.7.5. Spain
      • 11.3.7.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1. Brazil
      • 11.4.7.2. Argentina
      • 11.4.7.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1. China
      • 11.5.7.2. India
      • 11.5.7.3. Japan
      • 11.5.7.4. Australia
      • 11.5.7.5. Rest of Asia-Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Company Profiles

  • 13.1. Automation Anywhere, Inc.*
    • 13.1.1. Company Overview
    • 13.1.2. Product Portfolio and Description
    • 13.1.3. Financial Overview
    • 13.1.4. Key Developments
  • 13.2. Blue Prism Limited.
  • 13.3. EdgeVerve Systems Limited
  • 13.4. FPT Software
  • 13.5. KOFAX, Inc.
  • 13.6. NICE
  • 13.7. NTT Advanced Technology Corporation
  • 13.8. OnviSource, Inc.
  • 13.9. Pegasystems Inc.
  • 13.10. UiPath

LIST NOT EXHAUSTIVE

14. Appendix

  • 14.1. About Us and Services
  • 14.2. Contact Us