Cognitive Operations Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)

The Cognitive Operations Market is segmented by component (solutions and services), deployment mode (cloud and on-Premises), enterprise size (large enterprises and small and medium-sized enterprises), application (IT operations analytics, application performance management, network analytics, security analytics, infrastructure management, and other applications), industry vertical (BFSI, healthcare & life sciences, IT & Telecom, retail & e-commerce, and other industry verticals), and geography (North America, Europe, Asia-Pacific, and rest of the world). The market sizes and forecasts are provided in value (USD).

Cognitive Operations Market Size

Cognitive Operations Market Summary
Study Period 2019 - 2029
Market Size (2024) USD 17.59 Billion
Market Size (2029) USD 37.56 Billion
CAGR (2024 - 2029) 16.38 %
Fastest Growing Market Asia Pacific
Largest Market North America
Market Concentration Medium

Major Players

Cognitive Operations Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Cognitive Operations Market with other markets in Technology, Media and Telecom Industry

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Cognitive Operations Market Analysis

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).

  • 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.
Cognitive Operations Market: Information technology (IT) spending on telecommunications services worldwide from 2018 to 2023 (in billion USD)

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 Market - Growth Rate by Region

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.

Cognitive Operations Market Leaders

  1. IBM Corporation

  2. Micro Focus International Plc

  3. Broadcom Corporation

  4. VMware, Inc.

  5. Splunk Inc.

*Disclaimer: Major Players sorted in no particular order

Cognitive Operations Market Concentration
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Cognitive Operations Market News

  • March 2023: TCS Cognitive Plant Operations Adviser launched for industries in manufacturing, oil and gas, and consumer packaged goods to transform manufacturing by utilizing machine learning and artificial intelligence to make it more intelligent, flexible, and resilient. The TCS Cognitive Plant Operations Adviser connects with Microsoft Azure private mobile edge computing (PMEC) for waste reduction, increased equipment uptime, and eliminating safety problems. For quick and independent decision-making, it gives plant operators insights and data.
  • October 2022: Saudi Telecom Company (STC) collaborated with Ericsson to implement AI-based cognitive software solution deployments. The cognitive software uses big data's scalability, automation, accuracy, speed, and consistency for improved network optimization. The Performance Optimizers can address particular network performance issues and offer mobile network optimization techniques. It improves subscriber experience while lowering operational costs.

Cognitive Operations Market Report - Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Market Drivers

      1. 4.2.1 Growing Focus Toward Selection of Cloud-Based Cognitive IT Operations Solutions

      2. 4.2.2 Rising Demand for Monitoring the Complex IT Environment

    3. 4.3 Market Restraints

      1. 4.3.1 Integration of Cognitive Operations Capabilities With the Present Systems

      2. 4.3.2 Dearth of Skills and Expertise

    4. 4.4 Industry Attractiveness - Porter's Five Forces Analysis

      1. 4.4.1 Bargaining Power of Suppliers

      2. 4.4.2 Bargaining Power of Buyers

      3. 4.4.3 Threat of New Entrants

      4. 4.4.4 Threat of Substitutes

      5. 4.4.5 Intensity of Competitive Rivalry

    5. 4.5 Assessment of Impact of Covid-19 on the Industry

  5. 5. MARKET SEGMENTATION

    1. 5.1 By Component

      1. 5.1.1 Solutions

      2. 5.1.2 Services

    2. 5.2 By Deployment Mode

      1. 5.2.1 Cloud

      2. 5.2.2 On-Premises

    3. 5.3 By Enterprise Size

      1. 5.3.1 Large Enterprises

      2. 5.3.2 Small and Medium-Sized Enterprises

    4. 5.4 By Application**

      1. 5.4.1 IT Operations Analytics

      2. 5.4.2 Application Performance Management

      3. 5.4.3 Network Analytics

      4. 5.4.4 Security Analytics

      5. 5.4.5 Infrastructure Management

      6. 5.4.6 Other Applications

    5. 5.5 By Industry Vertical

      1. 5.5.1 BFSI

      2. 5.5.2 Healthcare & Life Sciences

      3. 5.5.3 IT & Telecom

      4. 5.5.4 Retail & E-commerce

      5. 5.5.5 Other Industry Verticals

    6. 5.6 Geography

      1. 5.6.1 North America

      2. 5.6.2 Europe

      3. 5.6.3 Asia-Pacific

      4. 5.6.4 Rest of the World

  6. 6. COMPETITIVE LANDSCAPE

    1. 6.1 Company Profiles*

      1. 6.1.1 Broadcom Inc.

      2. 6.1.2 IBM Corporation

      3. 6.1.3 VMware, Inc.

      4. 6.1.4 Micro Focus International Plc

      5. 6.1.5 Splunk Inc.

      6. 6.1.6 HCL Technologies Limited

      7. 6.1.7 BMC Software, Inc.

      8. 6.1.8 New Relic, Inc.

      9. 6.1.9 CloudFabrix Software Inc.

      10. 6.1.10 Servicenow Inc.

      11. 6.1.11 Loom Systems Inc.

      12. 6.1.12 Dynatrace LLC

      13. 6.1.13 Interlink Software Services Ltd

      14. 6.1.14 DEVO Technology Inc.

      15. 6.1.15 Correlata Solutions Inc

      16. 6.1.16 ScienceLogic Inc.

  7. 7. INVESTMENT ANALYSIS

  8. 8. MARKET OPPORTUNITIES AND FUTURE TRENDS

**Subject to Availability
**Qualitative Analysis
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Cognitive Operations Industry Segmentation

In complex circumstances where the solutions may be unpredictable, cognitive operations use computerized models to imitate the human reasoning process. It concerns how quickly and efficiently problem solutions can be extracted from data and implemented. Cognitive operations use AI-based optimization techniques to automate the planning, control, and optimize production and supply chain activities. By adopting cognitive operation solutions, significant savings can be made on essential resources, including energy, plant capacities, and human resources.

The Cognitive Operations Market is segmented by component (solutions and services), deployment mode (cloud and on-Premises), enterprise size (large enterprises and small and medium-sized enterprises), application (IT operations analytics, application performance management, network analytics, security analytics, infrastructure management, and other applications), industry vertical (BFSI, healthcare & life sciences, IT & Telecom, retail & e-commerce, and other industry verticals), and geography (North America, Europe, Asia-Pacific, and rest of the world). The market sizes and forecasts are provided in value (USD).

By Component
Solutions
Services
By Deployment Mode
Cloud
On-Premises
By Enterprise Size
Large Enterprises
Small and Medium-Sized Enterprises
By Application**
IT Operations Analytics
Application Performance Management
Network Analytics
Security Analytics
Infrastructure Management
Other Applications
By Industry Vertical
BFSI
Healthcare & Life Sciences
IT & Telecom
Retail & E-commerce
Other Industry Verticals
Geography
North America
Europe
Asia-Pacific
Rest of the World
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Cognitive Operations Market Research FAQs

The Cognitive Operations Market size is expected to reach USD 17.59 billion in 2024 and grow at a CAGR of 16.38% to reach USD 37.56 billion by 2029.

In 2024, the Cognitive Operations Market size is expected to reach USD 17.59 billion.

IBM Corporation, Micro Focus International Plc, Broadcom Corporation, VMware, Inc. and Splunk Inc. are the major companies operating in the Cognitive Operations Market.

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2024-2029).

In 2024, the North America accounts for the largest market share in Cognitive Operations Market.

In 2023, the Cognitive Operations Market size was estimated at USD 15.11 billion. The report covers the Cognitive Operations Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Cognitive Operations Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.

Cognitive Operations Industry Report

Statistics for the 2024 Cognitive Operations market share, size and revenue growth rate, created by Mordor Intelligenceā„¢ Industry Reports. Cognitive Operations analysis includes a market forecast outlook to for 2024 to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.

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Cognitive Operations Market Size & Share Analysis - Growth Trends & Forecasts (2024 - 2029)