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1558334

到 2030 年認知自動化市場預測：按組件、部署模式、公司規模、技術、應用程式、最終用戶和地區進行的全球分析

Cognitive Automation Market Forecasts to 2030 - Global Analysis By Component (Solutions, Services and Other Components), Deployment Mode, Enterprise Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球認知自動化市場規模將達到 153 億美元，預計到 2030 年將達到 332 億美元，預測期內複合年成長率為 13.7%。

認知自動化是人工智慧（AI）和流程自動化技術的整合，以改善業務營運和決策。透過結合機器學習、自然語言處理和機器人流程自動化來自動化複雜的任務。認知自動化擴大應用於銀行、醫療保健、零售和製造等行業，以簡化客戶服務、合規性和資料管理等流程。

公司產生的資料量增加

來自物聯網設備、社交媒體和商業應用程式等各種來源的資料爆炸性成長，使得人類處理資料和提取見解變得越來越困難。因此，公司正在實施能夠有效處理大量資料的認知自動化解決方案。此外，認知自動化利用人工智慧、機器學習和自然語言處理等技術來自動化資料集中流程並產生可行的見解，從而推動市場成長。

技術限制

將認知自動化引入業務流程既複雜又耗時，可能會導致延誤和成本增加。這種複雜性可能會阻礙公司追求認知自動化，因為它會擾亂業務。此外，處理敏感資料會引發資料隱私和安全性問題，而遵守 GDPR 和 CCPA 等法規可能會使認知自動化解決方案的部署變得複雜並阻礙市場成長。

對效率和降低成本的需求不斷成長

認知自動化透過最大限度地減少人工錯誤和最佳化資源分配，幫助公司大幅節省成本。透過自動化日常任務，公司可以降低人事費用並提高業務速度和準確性。例如，機器人流程自動化 (RPA) 可以與認知功能整合，以有效處理對於決策和卓越資料至關重要的結構化和非結構化資料。

認知自動化系統對資料的依賴增加

認知自動化依賴高品質的訓練資料，如果該資料包含人為偏見或不準確，則可能會引入偏見和不準確。這可能會導致不公平的待遇、錯誤的預測以及對技術的信任度下降。減輕演算法偏差需要仔細的資料管理和測試。人工智慧演算法的不透明性質使其難以解釋其決策，這在醫療保健和金融等透明度和課責很重要的領域可能會出現問題。

COVID-19 的影響：

COVID-19 的爆發對認知自動化市場產生了各種影響。儘管隨著企業尋求提高效率和降低成本，自動化技術的採用加速，但由於停工和供應鏈問題造成的最初經濟中斷減緩了 2020-2021 年的市場成長。然而，隨著認知自動化解決方案變得更加複雜以及公司越來越依賴資料主導的洞察來提高業務績效，自動化市場的成長將會放緩。

預計解決方案產業將在預測期內成為最大的產業。

預計解決方案領域將在預測期內成為最大的領域。這是因為這些解決方案透過自動執行重複性任務並使員工能夠專注於策略活動來提高業務效率。這將提高銀行、醫療保健和 IT 等行業的生產力。人工智慧和機器學習等先進技術使企業能夠分析大量資料，支援更好的決策，並使業務流程更具適應性，從而促進市場成長。

預計醫療保健產業在預測期內複合年成長率最高

認知自動化正在透過數位化醫療記錄、自動化申請等管理業務、分析患者資料以增強臨床決策以及減少醫療錯誤來徹底改變醫療保健，預計在此期間將表現出最高的複合年成長率。這使得醫護人員能夠專注於病患護理，改善治療計劃，減少處方管理和藥物交互作用等領域的錯誤，並確保病患安全。

比最大的地區

由於企業和政府機構是最早採用自動化和人工智慧技術的地區，預計北美將在預測期內佔據最大的市場佔有率。 Blue Prism、IBM、IPsoft 和 Kryon Systems 等主要供應商在美國擁有強大的影響力，推動創新和採用。該地區在客戶服務和銷售活動中使用智慧虛擬助理的情況也顯著成長。

複合年成長率最高的地區：

由於經濟發展和都市化推動了對高效流程和具有成本效益的解決方案的需求，預計亞太地區在預測期內的複合年成長率最高。數位化和雲端採用的興起將進一步加強這個市場，使企業能夠提高業務效率、降低成本並增強客戶體驗。

免費客製化服務：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭標基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球認知自動化市場：依組成部分

  • 解決方案
  • 服務
  • 其他組件

第6章全球認知自動化市場：依部署模式

  • 雲
  • 本地
  • 混合

第7章全球認知自動化市場：依公司規模

  • 小型企業
  • 主要企業

第8章全球認知自動化市場：依技術分類

  • 自然語言處理
  • 機器學習
  • 認知運算
  • 機器人技術
  • 其他技術

第9章全球認知自動化市場：依應用分類

  • 客戶服務
  • 流程自動化
  • 資料分析
  • 決策支持
  • 安全
  • 其他用途

第 10 章 全球認知自動化市場：依最終使用者分類

  • 銀行、金融服務和保險 (BFSI)
  • 衛生保健
  • 零售與電子商務
  • 製造業
  • 資訊科技和通訊
  • 能源/公共產業
  • 政府
  • 運輸/物流
  • 其他最終用戶

第11章全球認知自動化市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第12章 主要進展

  • 合約、夥伴關係、合作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章 公司概況

  • Automation Anywhere
  • Blue Prism
  • Edge Verve Systems Ltd.
  • FPT Software
  • IBM
  • Kofax
  • Microsoft Corporation
  • NICE
  • NTT Advanced Technology Corp.
  • OnviSource, Inc.
  • Pegasystems
  • UiPath
  • WorkFusion, Inc
Product Code: SMRC27205

According to Stratistics MRC, the Global Cognitive Automation Market is accounted for $15.3 billion in 2024 and is expected to reach $33.2 billion by 2030 growing at a CAGR of 13.7% during the forecast period. Cognitive Automation is the integration of artificial intelligence (AI) with process automation technologies to improve business operations and decision-making. It combines machine learning, natural language processing, and robotic process automation to automate complex tasks. Cognitive automation is increasingly used in sectors like banking, healthcare, retail, and manufacturing to streamline processes like customer service, compliance, and data management.

Market Dynamics:

Driver:

Increasing volume of data generated by businesses

The explosion of data from various sources like IoT devices, social media, and business applications is making it increasingly difficult for humans to process and extract insights. This is driving businesses to adopt cognitive automation solutions that can efficiently handle large volumes of structured and unstructured data. Moreover cognitive automation leverages technologies like AI, machine learning, and natural language processing to automate data-intensive processes and generate actionable insights which drives the growth of the market.

Restraint:

Technological limitations

Implementing cognitive automation into business processes can be complex and time-consuming, potentially leading to delays and increased costs. This complexity can deter companies from pursuing cognitive automation, as it may disrupt operations. Additionally, data privacy and security concerns arise due to the processing of sensitive data, and compliance with regulations like GDPR and CCPA can complicate the deployment of cognitive automation solutions hampering the markets growth.

Opportunity:

Increased demand for efficiency and cost reduction

Cognitive automation helps organizations achieve substantial cost savings by minimizing manual errors and optimizing resource allocation. By automating routine tasks, businesses can reduce labor costs and improve the speed and accuracy of their operations. For instance, the integration of cognitive capabilities into robotic process automation (RPA) allows for the efficient handling of structured and unstructured data, which is crucial for decision-making and operational excellence

Threat:

Increased reliance on data in cognitive automation systems

Cognitive automation relies on quality training data, which can be biased or inaccurate if it contains human biases or inaccuracies. This can lead to unfair treatment, incorrect predictions, and erosion of trust in the technology. Mitigating algorithmic bias requires careful data curation and testing. The opaque nature of AI algorithms makes it difficult to explain decision-making, which can be problematic in areas like healthcare and finance where transparency and accountability are critical.

Covid-19 Impact:

The COVID-19 pandemic has had a mixed impact on the Cognitive Automation Market. While it has accelerated the adoption of automation technologies as businesses seek to enhance efficiency and reduce costs, the initial economic disruption caused by lockdowns and supply chain issues slowed market growth in 2020-2021. However, as cognitive automation solutions become more sophisticated and businesses increasingly rely on data-driven insights to drive performance.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to be the largest during the forecast period because these solutions improve operational efficiency by automating repetitive tasks, allowing employees to focus on strategic activities. This leads to increased productivity in sectors like banking, healthcare, and IT. Advanced technologies like AI and machine learning enable organizations to analyze large data volumes, support better decision-making, and enhance business process adaptability encouraging its market growth.

The healthcare segment is expected to have the highest CAGR during the forecast period

The healthcare segment is expected to have the highest CAGR during the forecast period because cognitive automation is revolutionizing healthcare by automating administrative tasks like medical record digitization and billing, enhancing clinical decision-making by analyzing patient data, and reducing medical errors. It allows healthcare staff to focus on patient care, improves treatment plans, and reduces errors in areas like prescription management and drug interactions, ensuring patient safety.

Region with largest share:

North America is projected to hold the largest market share during the forecast period attributed to its early adoption of automation and AI technologies by businesses and government institutions. The US has a strong presence of leading vendors like Blue Prism, IBM, IPsoft, and Kryon Systems, driving innovation and adoption. Additionally, the region is witnessing significant growth in the use of intelligent virtual assistants for customer service and sales interactions.

Region with highest CAGR:

Asia Pacific is projected to witness the highest CAGR over the forecast period due to economic development and urbanization, leading to increased demand for efficient processes and cost-effective solutions. The rise of digitalization and cloud adoption further enhances this market, enabling organizations to improve operational efficiency, reduce costs, and enhance customer experiences.

Key players in the market

Some of the key players in Cognitive Automation market include Automation Anywhere , Blue Prism, Edge Verve Systems Ltd., FPT Software, IBM, Kofax, Microsoft Corporation, NICE, NTT Advanced Technology Corp., OnviSource, Inc., Pegasystems, UiPath and WorkFusion, Inc

Key Developments:

In August 2024, IBM and Intel have announced a collaboration to deploy Intel(R) Gaudi(R) 3 AI accelerators as a service on IBM Cloud. This offering, which is expected to be available in early 2025, aims to help more cost effectively scale enterprise AI and drive innovation underpinned with security and resiliency.

In August 2024, IBM announced the introduction of generative AI capabilities to its managed Threat Detection and Response Services utilized by IBM Consulting analysts to advance and streamline security operations for clients.

Components Covered:

  • Solutions
  • Services
  • Other Components

Deployment Modes Covered:

  • Cloud
  • On-Premise
  • Hybrid

Enterprise Sizes Covered:

  • Small and Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • Natural Language Processing
  • Machine Learning
  • Cognitive Computing
  • Robotics
  • Other Technologies

Applications Covered:

  • Customer Service
  • Process Automation
  • Data Analysis
  • Decision Support
  • Security
  • Other Applications

End Users Covered:

  • Banking, Financial Services, and Insurance (BFSI)
  • Healthcare
  • Retail & eCommerce
  • Manufacturing
  • IT & Telecommunications
  • Energy & Utilities
  • Government
  • Transportation & Logistics
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Cognitive Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
  • 5.3 Services
  • 5.4 Other Components

6 Global Cognitive Automation Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premise
  • 6.4 Hybrid

7 Global Cognitive Automation Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small and Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Cognitive Automation Market, By Technology

  • 8.1 Introduction
  • 8.2 Natural Language Processing
  • 8.3 Machine Learning
  • 8.4 Cognitive Computing
  • 8.5 Robotics
  • 8.6 Other Technologies

9 Global Cognitive Automation Market, By Application

  • 9.1 Introduction
  • 9.2 Customer Service
  • 9.3 Process Automation
  • 9.4 Data Analysis
  • 9.5 Decision Support
  • 9.6 Security
  • 9.7 Other Applications

10 Global Cognitive Automation Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services, and Insurance (BFSI)
  • 10.3 Healthcare
  • 10.4 Retail & eCommerce
  • 10.5 Manufacturing
  • 10.6 IT & Telecommunications
  • 10.7 Energy & Utilities
  • 10.8 Government
  • 10.9 Transportation & Logistics
  • 10.10 Other End Users

11 Global Cognitive Automation Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Automation Anywhere
  • 13.2 Blue Prism
  • 13.3 Edge Verve Systems Ltd.
  • 13.4 FPT Software
  • 13.5 IBM
  • 13.6 Kofax
  • 13.7 Microsoft Corporation
  • 13.8 NICE
  • 13.9 NTT Advanced Technology Corp.
  • 13.10 OnviSource, Inc.
  • 13.11 Pegasystems
  • 13.12 UiPath
  • 13.13 WorkFusion, Inc

List of Tables

  • Table 1 Global Cognitive Automation Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Cognitive Automation Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Cognitive Automation Market Outlook, By Solutions (2022-2030) ($MN)
  • Table 4 Global Cognitive Automation Market Outlook, By Services (2022-2030) ($MN)
  • Table 5 Global Cognitive Automation Market Outlook, By Other Components (2022-2030) ($MN)
  • Table 6 Global Cognitive Automation Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 7 Global Cognitive Automation Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 8 Global Cognitive Automation Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 9 Global Cognitive Automation Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 10 Global Cognitive Automation Market Outlook, By Enterprise Size (2022-2030) ($MN)
  • Table 11 Global Cognitive Automation Market Outlook, By Small and Medium Enterprises (SMEs) (2022-2030) ($MN)
  • Table 12 Global Cognitive Automation Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 13 Global Cognitive Automation Market Outlook, By Technology (2022-2030) ($MN)
  • Table 14 Global Cognitive Automation Market Outlook, By Natural Language Processing (2022-2030) ($MN)
  • Table 15 Global Cognitive Automation Market Outlook, By Machine Learning (2022-2030) ($MN)
  • Table 16 Global Cognitive Automation Market Outlook, By Cognitive Computing (2022-2030) ($MN)
  • Table 17 Global Cognitive Automation Market Outlook, By Robotics (2022-2030) ($MN)
  • Table 18 Global Cognitive Automation Market Outlook, By Other Technologies (2022-2030) ($MN)
  • Table 19 Global Cognitive Automation Market Outlook, By Application (2022-2030) ($MN)
  • Table 20 Global Cognitive Automation Market Outlook, By Customer Service (2022-2030) ($MN)
  • Table 21 Global Cognitive Automation Market Outlook, By Process Automation (2022-2030) ($MN)
  • Table 22 Global Cognitive Automation Market Outlook, By Data Analysis (2022-2030) ($MN)
  • Table 23 Global Cognitive Automation Market Outlook, By Decision Support (2022-2030) ($MN)
  • Table 24 Global Cognitive Automation Market Outlook, By Security (2022-2030) ($MN)
  • Table 25 Global Cognitive Automation Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 26 Global Cognitive Automation Market Outlook, By End User (2022-2030) ($MN)
  • Table 27 Global Cognitive Automation Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2022-2030) ($MN)
  • Table 28 Global Cognitive Automation Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 29 Global Cognitive Automation Market Outlook, By Retail & eCommerce (2022-2030) ($MN)
  • Table 30 Global Cognitive Automation Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 31 Global Cognitive Automation Market Outlook, By IT & Telecommunications (2022-2030) ($MN)
  • Table 32 Global Cognitive Automation Market Outlook, By Energy & Utilities (2022-2030) ($MN)
  • Table 33 Global Cognitive Automation Market Outlook, By Government (2022-2030) ($MN)
  • Table 34 Global Cognitive Automation Market Outlook, By Transportation & Logistics (2022-2030) ($MN)
  • Table 35 Global Cognitive Automation Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.