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市场调查报告书
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1435904

认知营运：市场占有率分析、产业趋势与统计、成长预测（2024-2029）

Cognitive Operations - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3个工作天内

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简介目录

认知营运市场规模预计到2024年为175.9亿美元，预计到2029年将达到375.6亿美元，在预测期内（2024-2029年）复合年增长率为16.38%增长。

认知运作-市场

主要亮点

  • 由于云端的可扩展性、成本更低且易于部署，组织正在将关键业务应用程式迁移到云端。使用云端基础的技术可以将预测分析技能快速整合到各种企业应用程式中。这些好处可能会增加对云端基础的认知营运解决方案的需求。
  • 随着技术达到新的水平，机器人流程自动化 (RPA) 将与认知操作整合。认知 RPA 可以使用自然语言处理 (NLP)、光学字元辨识 (OCR) 和机器学习来理解大量资料，因此可用于提高生产力、可扩展性和效率。将认知流程与 RPA 整合，使聊天机器人能够使用企业资料并与传统企业系统交互，以更好地管理来自客户和员工的复杂即时请求。
  • COVID-19感染疾病当地社区和企业的生活带来了重大变化。客户购买行为和需求的变化促使公司采用自动化流程来保持竞争力。在电子商务行业中使用认知运算可以让公司监控购物者的购物行为，包括品牌偏好、线上购买频率和店内导航模式。同样，认知解决方案可以根据行业进行定制，以帮助企业扩大规模并产生收入。
  • 认知操作的初始投资很高。为这些系统创建软体需要很长时间，并且需要熟练的开发团队。系统需要使用大型资料集进行广泛而详细的培训，以了解特定的工作和程序。由于这些因素，企业不容易被说服采用这些认知操作，从而减缓了市场成长。

认知营运市场趋势

IT和通讯领域正在显着成长

  • 认知服务有助于将通讯后勤部门转变为专门的顾客关怀团队。此外，电讯部门可以透过顾客关怀机器人自动执行自然语言解释和文字翻译来改善关键业务运作。智慧网路运营，通常称为认知网路运营中心，使用人工智慧 (AI)、机器学习 (ML) 和高级分析来创建自我修復、自我优化和自主传输网路。我们为您提供支援。
  • IT 和通讯业利用认知营运解决方案从用户网路创建的大量资料中提取有价值的见解。这改善了客户体验。认知服务透过理解自然语言和翻译文字来自动化辅助机器人，使电讯部门能够更好地执行其关键业务功能。
  • Jio Haptik 是领先的对话式 AI 公司之一，利用 Microsoft Azure 认知服务来提高其现有印地语对话式 AI 模型的准确性和效率。这项业界领先的人工智慧翻译技术是实现印地语、英语甚至兴利语端到端互动的关键组件，让用户能够与 Jio Mobility 的虚拟助理聊天。
  • 随着网路攻击的增加和知识渊博的网路安全人才的缺乏，企业需要认知运算等最新技术来应对不断增加的资料量所带来的网路风险。认知演算法透过提供检测虚假资讯和欺骗性资料的技术手段来帮助防止网路攻击。因此，客户不容易受到操纵。
  • 福布斯声称每年的资料生成速度比以往任何时候都快。到 2025 年，每个人每秒将产生 3.2 GB 的资讯。短短一年内，全球资料总量将达到64兆GB。实施认知操作后，您的组织将拥有正确的知识，可以更快、更准确地制定业务决策。

亚太地区预计将出现显着成长

  • 随着新加坡、澳洲、中国和印度等国家增加技术支出，亚太地区预计将成为资料管治成长最快的地区。中小型组织 (SME) 需要经济实惠的资料管理和管治解决方案和服务。这将推动该地区认知营运市场的需求。
  • 该地区正在增加对智慧製造和数数位化的投资，增加了对认知操作的需求。借助认知製造，公司可以在产品开发的所有阶段（从设计到製造到保固服务）持续关注品质。
  • 根据 IBM 商业价值研究院的研究，财富 500 强公司可能会因为库存放错位置或製造错误的 SKU 和通路组合而损失 2% 到 5% 的收益。当公司开发规范性和认知性数位双胞胎时，他们可以将供应链生产力提高 10% 至 15%，将非付加工作减少 50% 至 60%，并减少响应中断的时间。到几小时或几分钟。能力。

认知营运产业概述

认知营运市场有适度竞争，因为只有一些参与者在利用他们的产品。然而，在研究期间存在显着的成长潜力。这些认知营运提供者正在发布整合人工智慧技术的改进产品，从而降低成本，提高客户满意度，并提高使用非结构化资料的复杂业务流程的准确性。随着企业走向数位技术，其扩张范围将变得更加广泛。该领域的一些领先公司包括 Micro Focus International Plc、Broadcom Corporation、IBM Corporation 和 VMware, Inc.。

  • 2023 年 3 月 - 保险科技Start-Upsi3systems 与 Microsoft Azure 合作，为关键 BFSI 流程带来业界领先的文件和资料智慧准确性。 i3systems 由 Microsoft Azure Cognitive Vision 支援的特定领域人工智慧模式正在为健康和人寿保险公司提供协助。 i3system 使用者註意到客户 NPS 显着增加，处理时间和成本减少了 70%。
  • 2022 年 10 月 - 塔塔咨询服务公司推出认知业务营运解决方案 TCS Cognix。它是一款由人工智慧主导的预先建置人机协作套件，将业务流程管理、IT 应用程式或软体、资料中心和伺服器结合在一个产品中。 COGNIZ 财务长现金流指挥中心提供有关贵公司收到的客户金额和预测的资料，包括付款问题。
  • 2022 年 8 月 - Operaize 加入以製造业为导向的 SAP PartnerEdge 计划，以加速云端基于 AI 的生产计画和调度的创新。 Operaize 将认知营运（基于 AI 的生产计画和排程解决方案）与 SAP ERP 中央元件 (SAP ECC) 以及 SAP S/4HANA 中的生产计画元件整合在一起。该解决方案使用人工智慧来实现速度和准确性，同时管理复杂性以驱动客户价值。这有助于客户将营运绩效到新的高度。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章 简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场动态

  • 市场概况
  • 市场驱动因素
    • 越来越重视选择云端基础的认知 IT 营运解决方案
    • 监控复杂 IT 环境的需求不断成长
  • 市场限制因素
    • 将认知操作能力与现行系统集成
    • 缺乏技能和专业知识
  • 产业吸引力－波特五力分析
    • 供应商的议价能力
    • 买方议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌意强度
  • 评估 COVID-19 对产业的影响

第五章市场区隔

  • 按配置
    • 解决方案
    • 服务
  • 依部署方式
    • 云
    • 本地
  • 按公司规模
    • 大公司
    • 中小企业
  • 按用途
    • IT营运分析
    • 应用效能管理
    • 网路分析
    • 安全分析
    • 基础设施管理
    • 其他用途
  • 按行业分类
    • BFSI
    • 医疗保健和生命科学
    • 资讯科技与电信
    • 零售与电子商务
    • 其他行业
  • 地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 世界其他地区

第六章 竞争形势

  • 公司简介
    • Broadcom Inc.
    • IBM Corporation
    • VMware, Inc.
    • Micro Focus International Plc
    • Splunk Inc.
    • HCL Technologies Limited
    • BMC Software, Inc.
    • New Relic, Inc.
    • CloudFabrix Software Inc.
    • Servicenow Inc.
    • Loom Systems Inc.
    • Dynatrace LLC
    • Interlink Software Services Ltd
    • DEVO Technology Inc.
    • Correlata Solutions Inc
    • ScienceLogic Inc.

第七章 投资分析

第八章市场机会及未来趋势

简介目录
Product Code: 70783

The Cognitive Operations Market size is estimated at USD 17.59 billion in 2024, and is expected to reach USD 37.56 billion by 2029, growing at a CAGR of 16.38% during the forecast period (2024-2029).

Cognitive Operations - Market

Key Highlights

  • Organizations are moving their essential business apps to the cloud because of its scalability, lower cost, and ease of deployment. Predictive analytics skills can be swiftly integrated into a variety of corporate applications with the use of cloud-based technologies. These advantages likely increase demand for cloud-based cognitive operations solutions.
  • As the technology reaches the next level, Robotic Process Automation (RPA) integrates with Cognitive Operations. Cognitive RPA is utilized to produce higher productivity, scalability, and enhanced efficiency since it can use Natural Language Processing (NLP), Optical Character Recognition (OCR), and Machine Learning to make sense of masses of data. Integrating cognitive processes with RPA helps Chatbots better manage complicated, real-time requests from customers and employees by using company data and navigating legacy enterprise systems.
  • The Covid-19 outbreak brought a significant transformation in the lives of communities and businesses. Customer shopping behavior and demand changes urged companies to adopt automated processes to remain competitive. By using Cognitive Computing in the e-commerce industry, companies can monitor the shopping behavior of the buyers, like their brand preference, online purchase frequency, navigation pattern in the store, and so on. Similarly, based on the industry, cognitive solutions can be customized and help businesses expand and generate revenue.
  • The initial investment in cognitive operations is high. It takes a long time and requires skilled development teams to create the software for these systems. The systems need extensive, in-depth training with large data sets to understand specific jobs and procedures. Due to these factors, the companies are not easily convinced to adopt these cognitive operations, and thus, there is slow growth in the market.

Cognitive Operations Market Trends

IT and Telecommunication Segment to Grow Significantly

  • Cognitive services help to transform the telecom back offices into an expert customer care team. Further, the telecommunications sector can improve its essential business operations by automating customer care bots' interpretation of natural language and text translation. Intelligent network operations, often called a cognitive network operations center, use artificial intelligence (AI), machine learning (ML), and advanced analytics to support self-healing, self-optimized, and autonomous transport networks.
  • The IT and telecom vertical leverages cognitive operations solutions to extract valuable insights from the massive amounts of data user networks create. It thereby improves customer experience. Cognitive services enable the telecoms sector to perform its essential business functions better by automating assisting robots by understanding natural language and translating text.
  • One of the top conversational AI firms, Jio Haptik, is enhancing the accuracy and efficiency of its existing Hindi conversational AI models by leveraging Microsoft Azure Cognitive Services. This industry-leading AI translation technology enables end-to-end dialogues in Hindi, English, and even Hinglish and is a crucial component allowing users to chat with the Intelligent Virtual Assistants at Jio Mobility.
  • Due to the rise in cyberattacks, and the shortage of knowledgeable cybersecurity personnel, companies need contemporary techniques like cognitive computing to battle these cyber risks due to the growth in data volume. Cognitive algorithms will help prevent cyberattacks by offering a technical means of spotting false information and deceptive data. Hence customers will be less vulnerable to manipulation.
  • Forbes claims that annual data production is increasing more quickly than ever. Every person will generate 3.2 GB of information every second by 2025. The total data worldwide will reach 64 trillion GB in just one year. The organization will include proper knowledge to make business decisions more quickly and accurately after adopting cognitive operations.

Asia-Pacific is Expected to Witness Significant Growth

  • Asia-Pacific is projected to be the fastest-growing data governance region because of the rising spending on technology in countries like Singapore, Australia, China, and India. Small and medium-sized organizations (SMEs) need affordable data management and governance solutions and services. It drives the region's cognitive operations market need.
  • The region is further investing in smart manufacturing and digitization, driving the need for cognitive operations. With the help of cognitive manufacturing, businesses can maintain a laser-like focus on quality across all stages of a product's development, from design to production and warranty service.
  • According to research from the IBM Institute for Business Value, Fortune 500 businesses can lose between 2% and 5% of revenue due to misplacing inventory or manufacturing the wrong SKU and channel mix. Companies can increase supply chain productivity by 10% to 15%, decrease non-value-added work by 50% to 60%, and reduce their response time to disruptions from days to hours or minutes as they develop their digital twin, prescriptive and cognitive capabilities.

Cognitive Operations Industry Overview

Since only some players leverage their offerings in Cognitive Operations Market, there is moderate competition. However, there is vast potential for growth during the studied period. These Cognitive Operation providers release improved products with AI technology integrated, resulting in cost savings, more client satisfaction, and improved accuracy in complex business processes using unstructured data. As businesses shift to digital technologies, they include a wider scope of expansion. Some significant companies offering their services in this sector include Micro Focus International Plc, Broadcom Corporation, IBM Corporation, and VMware, Inc., among others.

  • March 2023- i3systems, an insurtech startup, partnered with Microsoft Azure to provide industry-leading document and data intelligence accuracy for critical BFSI processes. i3systems' domain-specific AI models backed by Microsoft Azure Cognitive Vision are helping health and life insurance companies. Users of i3systems noticed a considerable improvement in customer NPS and a 70% reduction in processing time and cost.
  • October 2022- Tata Consultancy Services launched TCS Cognix, the cognitive business operation solution. It is an AI-driven, pre-built human-machine collaboration suite that combines business process management, IT applications or software, data centers, and servers into a single offering. COGNIZ cash flow command center for CFO will provide data on how much money their firm will receive and a forecast of which customers they include payment troubles with.
  • August 2022- Operaize joins the SAP PartnerEdge program in the manufacturing industry to accelerate innovation for AI-based production planning and scheduling in the cloud. Operaize integrates its AI-based production planning and scheduling solution Cognitive Operations with the production planning component within SAP ERP Central Component (SAP ECC) and SAP S/4HANA. The solution drives customer value using artificial intelligence to achieve speed and accuracy while managing complexity at the same time. It helps customers to take their operational excellence to new heights.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Growing Focus Toward Selection of Cloud-Based Cognitive IT Operations Solutions
    • 4.2.2 Rising Demand for Monitoring the Complex IT Environment
  • 4.3 Market Restraints
    • 4.3.1 Integration of Cognitive Operations Capabilities With the Present Systems
    • 4.3.2 Dearth of Skills and Expertise
  • 4.4 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Suppliers
    • 4.4.2 Bargaining Power of Buyers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Threat of Substitutes
    • 4.4.5 Intensity of Competitive Rivalry
  • 4.5 Assessment of Impact of Covid-19 on the Industry

5 MARKET SEGMENTATION

  • 5.1 By Component
    • 5.1.1 Solutions
    • 5.1.2 Services
  • 5.2 By Deployment Mode
    • 5.2.1 Cloud
    • 5.2.2 On-Premises
  • 5.3 By Enterprise Size
    • 5.3.1 Large Enterprises
    • 5.3.2 Small and Medium-Sized Enterprises
  • 5.4 By Application**
    • 5.4.1 IT Operations Analytics
    • 5.4.2 Application Performance Management
    • 5.4.3 Network Analytics
    • 5.4.4 Security Analytics
    • 5.4.5 Infrastructure Management
    • 5.4.6 Other Applications
  • 5.5 By Industry Vertical
    • 5.5.1 BFSI
    • 5.5.2 Healthcare & Life Sciences
    • 5.5.3 IT & Telecom
    • 5.5.4 Retail & E-commerce
    • 5.5.5 Other Industry Verticals
  • 5.6 Geography
    • 5.6.1 North America
    • 5.6.2 Europe
    • 5.6.3 Asia-Pacific
    • 5.6.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles*
    • 6.1.1 Broadcom Inc.
    • 6.1.2 IBM Corporation
    • 6.1.3 VMware, Inc.
    • 6.1.4 Micro Focus International Plc
    • 6.1.5 Splunk Inc.
    • 6.1.6 HCL Technologies Limited
    • 6.1.7 BMC Software, Inc.
    • 6.1.8 New Relic, Inc.
    • 6.1.9 CloudFabrix Software Inc.
    • 6.1.10 Servicenow Inc.
    • 6.1.11 Loom Systems Inc.
    • 6.1.12 Dynatrace LLC
    • 6.1.13 Interlink Software Services Ltd
    • 6.1.14 DEVO Technology Inc.
    • 6.1.15 Correlata Solutions Inc
    • 6.1.16 ScienceLogic Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS