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市场调查报告书
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1558334

到 2030 年认知自动化市场预测：按组件、部署模式、公司规模、技术、应用程式、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，2024 年全球认知自动化市场规模将达到 153 亿美元，预计到 2030 年将达到 332 亿美元，预测期内复合年增长率为 13.7%。

认知自动化是人工智慧（AI）和流程自动化技术的集成，以改善业务营运和决策。透过结合机器学习、自然语言处理和机器人流程自动化来自动化复杂的任务。认知自动化越来越多地应用于银行、医疗保健、零售和製造等行业，以简化客户服务、合规性和资料管理等流程。

公司产生的资料量增加

来自物联网设备、社交媒体和商业应用程式等各种来源的资料爆炸性增长，使得人类处理资料和提取见解变得越来越困难。因此，公司正在实施能够有效处理大量资料的认知自动化解决方案。此外，认知自动化利用人工智慧、机器学习和自然语言处理等技术来自动化资料集中流程并产生可行的见解，从而推动市场成长。

技术限制

将认知自动化引入业务流程既复杂又耗时，可能会导致延误和成本增加。这种复杂性可能会阻碍公司追求认知自动化，因为它会扰乱业务。此外，处理敏感资料会引发资料隐私和安全性问题，而遵守 GDPR 和 CCPA 等法规可能会使认知自动化解决方案的部署变得复杂并阻碍市场成长。

对效率和降低成本的需求不断增长

认知自动化透过最大限度地减少人工错误和优化资源分配，帮助公司大幅节省成本。透过自动化日常任务，公司可以降低人事费用并提高业务速度和准确性。例如，机器人流程自动化 (RPA) 可以与认知功能集成，以有效处理对于决策和卓越资料至关重要的结构化和非结构化资料。

认知自动化系统对资料的依赖增加

认知自动化依赖高品质的训练资料，如果该资料包含人为偏见或不准确，则可能会引入偏见和不准确。这可能会导致不公平的待遇、错误的预测以及对技术的信任度下降。减轻演算法偏差需要仔细的资料管理和测试。人工智慧演算法的不透明性质使其难以解释其决策，这在医疗保健和金融等透明度和课责很重要的领域可能会出现问题。

COVID-19 的影响：

COVID-19 的爆发对认知自动化市场产生了各种影响。儘管随着企业寻求提高效率和降低成本，自动化技术的采用加速，但由于停工和供应链问题造成的最初经济中断减缓了 2020-2021 年的市场成长。然而，随着认知自动化解决方案变得更加复杂以及公司越来越依赖资料主导的洞察来提高业务绩效，自动化市场的成长将会放缓。

预计解决方案产业将在预测期内成为最大的产业。

预计解决方案领域将在预测期内成为最大的领域。这是因为这些解决方案透过自动执行重复性任务并使员工能够专注于策略活动来提高业务效率。这将提高银行、医疗保健和 IT 等行业的生产力。人工智慧和机器学习等先进技术使企业能够分析大量资料，支援更好的决策，并使业务流程更具适应性，从而促进市场成长。

预计医疗保健产业在预测期内复合年增长率最高

认知自动化正在透过数位化医疗记录、自动化申请等管理业务、分析患者资料以增强临床决策以及减少医疗错误来彻底改变医疗保健，预计在此期间将表现出最高的复合年增长率。这使得医护人员能够专注于病患护理，改善治疗计划，减少处方管理和药物交互作用等领域的错误，并确保病患安全。

比最大的地区

由于企业和政府机构是最早采用自动化和人工智慧技术的地区，预计北美将在预测期内占据最大的市场占有率。 Blue Prism、IBM、IPsoft 和 Kryon Systems 等主要供应商在美国拥有强大的影响力，推动创新和采用。该地区在客户服务和销售活动中使用智慧虚拟助理的情况也显着增长。

复合年增长率最高的地区：

由于经济发展和都市化推动了对高效流程和具有成本效益的解决方案的需求，预计亚太地区在预测期内的复合年增长率最高。数位化和云端采用的兴起将进一步加强这个市场，使企业能够提高业务效率、降低成本并增强客户体验。

免费客製化服务：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争标基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球认知自动化市场：依组成部分

  • 解决方案
  • 服务
  • 其他组件

第六章全球认知自动化市场：依部署模式

  • 云
  • 本地
  • 混合

第七章全球认知自动化市场：依公司规模

  • 小型企业
  • 大公司

第八章全球认知自动化市场：依技术分类

  • 自然语言处理
  • 机器学习
  • 认知运算
  • 机器人技术
  • 其他技术

第九章全球认知自动化市场：依应用分类

  • 客户服务
  • 流程自动化
  • 资料分析
  • 决策支持
  • 安全
  • 其他用途

第 10 章 全球认知自动化市场：依最终使用者分类

  • 银行、金融服务和保险 (BFSI)
  • 卫生保健
  • 零售与电子商务
  • 製造业
  • 资讯科技和通讯
  • 能源/公共产业
  • 政府
  • 运输/物流
  • 其他最终用户

第十一章全球认知自动化市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • 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.