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市場調查報告書
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1435904

認知營運：市場佔有率分析、產業趨勢與統計、成長預測（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個工作天內

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簡介目錄

認知營運市場規模預計到2024年為175.9億美元，預計到2029年將達到375.6億美元，在預測期內（2024-2029年）複合年成長率為16.38%成長。

認知運作-市場

主要亮點

  • 由於雲端的可擴展性、成本更低且易於部署，組織正在將關鍵業務應用程式遷移到雲端。使用雲端基礎的技術可以將預測分析技能快速整合到各種企業應用程式中。這些好處可能會增加對雲端基礎的認知營運解決方案的需求。
  • 隨著技術達到新的水平，機器人流程自動化 (RPA) 將與認知操作整合。認知 RPA 可以使用自然語言處理 (NLP)、光學字元辨識 (OCR) 和機器學習來理解大量資料，因此可用於提高生產力、可擴展性和效率。將認知流程與 RPA 整合，使聊天機器人能夠使用企業資料並與傳統企業系統交互，以更好地管理來自客戶和員工的複雜即時請求。
  • COVID-19感染疾病當地社區和企業的生活帶來了重大變化。客戶購買行為和需求的變化促使公司採用自動化流程來保持競爭力。在電子商務行業中使用認知運算可以讓公司監控購物者的購物行為，包括品牌偏好、線上購買頻率和店內導航模式。同樣，認知解決方案可以根據行業進行客製化，以幫助企業擴大規模並產生收入。
  • 認知操作的初始投資很高。為這些系統創建軟體需要很長時間，並且需要熟練的開發團隊。系統需要使用大型資料集進行廣泛而詳細的培訓，以了解特定的工作和程序。由於這些因素，企業不容易被說服採用這些認知操作，從而減緩了市場成長。

認知營運市場趨勢

IT和通訊領域正在顯著成長

  • 認知服務可以説明你將通信後台轉變為專門的客戶服務團隊。 此外，電信部門還可以通過使用客戶服務機器人自動執行自然語言解釋和文本翻譯來改善關鍵業務運營。 智慧網路運營（通常稱為認知網路運營中心）使用人工智慧 （AI）、機器學習 （ML） 和高級分析來支援自我修復、自我優化和自主傳輸網路。
  • IT 和通訊業利用認知營運解決方案從用戶網路創建的大量資料中提取有價值的見解。這改善了客戶體驗。認知服務透過理解自然語言和翻譯文字來自動化輔助機器人，使電訊部門能夠更好地執行其關鍵業務功能。
  • Jio Haptik 是領先的對話式 AI 公司之一，利用 Microsoft Azure 認知服務來提高其現有印地語對話式 AI 模型的準確性和效率。這項業界領先的人工智慧翻譯技術是實現印地語、英語甚至興利語端到端互動的關鍵組件，讓用戶能夠與 Jio Mobility 的虛擬助理聊天。
  • 隨著網路攻擊的增加和知識淵博的網路安全人才的缺乏，企業需要認知運算等最新技術來應對不斷增加的資料量所帶來的網路風險。認知演算法透過提供檢測虛假資訊和欺騙性資料的技術手段來幫助防止網路攻擊。因此，客戶不容易受到操縱。
  • 福布斯聲稱每年的資料生成速度比以往任何時候都快。到 2025 年，每個人每秒將產生 3.2 GB 的資訊。短短一年內，全球資料總量將達到64兆GB。實施認知操作後，您的組織將擁有正確的知識，可以更快、更準確地制定業務決策。

亞太地區預計將出現顯著成長

  • 隨著新加坡、澳洲、中國和印度等國家增加技術支出，亞太地區預計將成為資料管治成長最快的地區。中小型組織 (SME) 需要經濟實惠的資料管理和管治解決方案和服務。這將推動該地區認知營運市場的需求。
  • 該地區正在增加對智慧製造和數位化的投資，增加了對認知操作的需求。借助認知製造，公司可以在產品開發的所有階段（從設計到製造到保固服務）持續關注品質。
  • 根據 IBM 商業價值研究院的研究，財富 500 強公司可能會因為庫存放錯位置或製造錯誤的 SKU 和通路組合而損失 2% 到 5% 的收益。當公司開發規範性和認知性數位雙胞胎時，他們可以將供應鏈生產力提高 10% 至 15%，將非付加工作減少 50% 至 60%，並減少響應中斷的時間。到幾小時或幾分鐘。能力。

認知營運產業概述

認知營運市場有適度競爭，因為只有一些參與者在利用他們的產品。然而，在研究期間存在顯著的成長潛力。這些認知營運提供者正在發布整合人工智慧技術的改進產品，從而降低成本，提高客戶滿意度，並提高使用非結構化資料的複雜業務流程的準確性。隨著企業走向數位技術，其擴張範圍將變得更加廣泛。該領域的一些領先公司包括 Micro Focus International Plc、Broadcom Corporation、IBM Corporation 和 VMware, Inc.。

  • 2023 年 3 月 - 保險科技Start-Upsi3systems 與 Microsoft Azure 合作，為關鍵 BFSI 流程帶來業界領先的文件和資料智慧準確性。 i3systems 由 Microsoft Azure Cognitive Vision 支援的特定領域人工智慧模式正在為健康和人壽保險公司提供協助。 i3system 使用者註意到客戶 NPS 顯著增加，處理時間和成本減少了 70%。
  • 2022 年 10 月 - 塔塔諮詢服務公司推出認知業務營運解決方案 TCS Cognix。它是一款由人工智慧主導的預先建置人機協作套件，將業務流程管理、IT 應用程式或軟體、資料中心和伺服器結合在一個產品中。 COGNIZ 財務長現金流指揮中心提供有關貴公司收到的客戶金額和預測的資料，包括付款問題。
  • 2022 年 8 月 - Operaize 加入以製造業為導向的 SAP PartnerEdge 計劃，以加速雲端基於 AI 的生產計畫和調度的創新。 Operaize 將認知營運（基於 AI 的生產計畫和排程解決方案）與 SAP ERP 中央元件 (SAP ECC) 以及 SAP S/4HANA 中的生產計畫元件整合在一起。該解決方案使用人工智慧來實現速度和準確性，同時管理複雜性以驅動客戶價值。這有助於客戶將營運績效到新的高度。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章 簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 市場促進因素
    • 越來越重視選擇雲端基礎的認知 IT 營運解決方案
    • 監控複雜 IT 環境的需求不斷成長
  • 市場限制因素
    • 將認知操作能力與現行系統整合
    • 缺乏技能和專業知識
  • 產業吸引力－波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間的敵意強度
  • 評估 COVID-19 對產業的影響

第5章市場區隔

  • 依配置
    • 解決方案
    • 服務
  • 依部署方式
    • 雲
    • 本地
  • 依公司規模
    • 主要企業
    • 中小企業
  • 依用途
    • IT營運分析
    • 應用效能管理
    • 網路分析
    • 安全分析
    • 基礎設施管理
    • 其他用途
  • 依行業分類
    • BFSI
    • 醫療保健和生命科學
    • 資訊科技與電信
    • 零售與電子商務
    • 其他行業
  • 地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 世界其他地區

第6章 競爭形勢

  • 公司簡介
    • 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7章 投資分析

第8章市場機會及未來趨勢

簡介目錄
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