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Cognitive Computing Market Outlook (2023 to 2033)

The cognitive computing market is expected to expand its roots at a strong CAGR of 26.3% during the forecast period. The market is likely to hold a revenue of US$ 18.03 billion in 2023 while it is anticipated to cross a value of US$ 188.2 billion by 2033.

The rise in concern among all the leading business organizations to analyze a large volume of data to estimate the risk associated with any strategic initiative is expected to accelerate market growth.

Factors such as the rise in big data analytics, developments of machine-to-machine technologies, and an increase in demand for a better customer experience led the market growth.

The human-like interface, advanced processing, better decision-making results, and technological advancements in corporate spaces are expected to garner growth. Furthermore, the challenges faced by the industry are anticipated to be solved through cognitive systems. A wide range of applications involving healthcare, government, IT & telecom, and manufacturing. The expanding application of smart technologies like artificial intelligence, machine learning, and big data are also projected to enrich the cognitive computing system experience.

The end-user brands are looking forward to adopting systems that increase and enhanced the adaptiveness of operations. The interactive, Iterative, contextual, and stateful capabilities of these systems inflict higher productivity and efficiency in any operation.

FMI explains how cognitive computing systems benefit different vertical operations. For example, the healthcare sector untangles complex and unstructured healthcare data. This data involves information regarding diagnoses, conditions, and patient history. For the retail sector, the system works on consumer data and delivers personalized suggestions. In the banking and finance industry, the system diversifies the data dimensions and gathers information through multiple sources to provide an idea about ant project.

Lastly, cognitive computing has properties that help these many applications. Some noticeable properties that the systems deliver are analytical accuracy, business process efficiency, customer interaction and experience, and service quality & employee productivity.

Attributes Details
Cognitive Computing Market CAGR (2023 to 2033) 26.3%
Cognitive Computing Market Size (2023) US$ 18.03 billion
Cognitive Computing Market Size (2033) US$ 188.2 billion

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What Factors Fueling the Cognitive Computing Market Growth?

There is an increase in the demand for cognitive systems in large organizations and this is expected to increase in SMBs owing to cloud-based services. As cloud-based deployment decreases the cost of deploying cognitive computing in the organization, there is a subsequent rise in the overall demand for cloud-based services.

The rise in big data analytics, developments of machine-to-machine technologies, and an increase in demand for a better customer experience. In addition, industries such as BFSI, social websites, healthcare, and e-commerce have witnessed a rapid increase in transaction information and customer data.

What Factors Limit the Cognitive Computing Market?

To develop cognitive solutions, a high upfront investment is required to set up maintenance architecture and infrastructure which leads to high operational costs.

Issues relating to government standards and uncertain regulatory compliance are also expected to limit the growth of the cognitive computing market. In addition, the market is anticipated to experience several challenges owing to the lack of awareness among SMEs.

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What are the Key Trends in Cognitive Computing Market?

One of the significant market key trends is the rising demand for big data analytics across various industries such as IT and telecom, healthcare, aerospace & defense. The rising volume of data and the adoption of big data tools are likely to drive the demand for big data analytics.

NLP technology helps in analyzing unstructured data for improving customer needs, expectations, and better customer experience. Hence, with the help of NLP, organizations get better insights into the optimization of business processes, reduction in operational cost, and customer perception.

Comparative View

Cognitive Computing Market:

Attributes Cognitive Computing Market
CAGR (2023 to 2033) 26.3%
Market Value (2033) US$ 188.2 billion
Growth Factor An increase in the development of machine-to-machine technologies.
Opportunity Technological proliferation is leading to the adoption of innovative techniques, such as machine learning & automated reasoning, in dispensing systems.
Key Trends The necessity for industries, such as healthcare, retail, and financial institutions, to analyze large volumes of data optimally on a real-time basis, is presumed to impact the industry favorably.

Calibration Services Market:

Attributes Calibration Services Market
CAGR (2023 to 2033) 39.6%
Market Value (2033) US$ 402.5 billion
Growth Factor The need to achieve robotic autonomy to stay competitive in a global market.
Opportunity AI is being used not only to automate tasks but also to diagnose equipment malfunctions or detect product anomalies.
Key Trends Businesses have started considering fully autonomous robots that can perceive, interact, and conceptualize the world around them.

Electronic Test Equipment Market:

Attributes Electronic Test Equipment Market
CAGR (2023 to 2033) 38.7%
Market Value (2033) US$ 212.5 billion
Growth Factor Technological advancement and proliferation in data generation.
Opportunity The advancements in deep learning algorithms
Key Trends Machine learning-enabled solutions are being significantly adopted by organizations worldwide to enhance customer experience, and ROI, and to gain a competitive edge in business operations.

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Country-wise Insights

Countries Revenue Share % (2023)
United States 27.3%
Germany 7.2%
Japan 5.4%
Australia 2.1%
Countries CAGR % (2023 to 2033)
China 29.3%
India 23.1%
United Kingdom 25.1%

The global cognitive computing market is divided into North America, South America, Europe, Asia Pacific, the Middle East, and Africa based on geography. The North American region is expected to hold a substantial share of the global cognitive computing market. While the Asia Pacific (APAC) region is expected to grow at a significant rate during the forecast period.

North America is a significant revenue contributor in the global market. The region is witnessing significant developments in the market, owing to the increasing usage of the internet and startups adopting cognitive computing solutions.

In addition, organizations, especially in the United States, have started using cognitive computing solutions to analyze huge volumes of data to provide better solutions. New technological advancements, such as 5G and IoT have also aided in the boost of cognitive solutions in this region.

Cognitive computing demand in the United States has held a market share of 27.3% in 2022. Moreover, the United Kingdom and China are expected to thrive at growth forecasts of 25.1% and 29.3% respectively, throughout the forecast period.

The growth is attributed to the expanding manufacturing space in China while India’s forecast for the IT and telecom industry is rich and is projected to gain more traction for the market. China and India both emerging superpowers are anticipated to expand their market space as both build new healthcare, government-based infrastructure.

Category-wise Landscape

Category By Deployment Type
Leading Segment On-Premises
Market Share (2022) 57.6%
Category By Industry Type
Leading Segment IT and telecom
Market Share (2022) 17.5%

The cognitive computing market can be segmented on the basis of deployment, application, industry, end user, and region. Based on the deployment, the market can be segmented into the following: on-premise, and cloud.

By deployment, the on-premise category of the cognitive computing market is expected to dominate the market as it held a market share of 57.6% in 2022. The growth is attributed to its capabilities such as data mining, pattern recognition, and natural language processing, which in turn is expected to accelerate the market growth over the analysis period.

According to FMI, on the basis of application, the market can be segmented into the following: diagnostic APIs, robots, cyber security, farm mechanization, social media monitoring, self-driving cars, gaming, video surveillance, eLearning, IT infrastructure management, supply chain management, and others. By application, the diagnostic APIs category is expected to dominate the market and is predicted to reach a CAGR of 27.9%, during the forecast period.

Based on Industry, the market can be segmented into the following: healthcare, BFSI, IT and telecom, manufacturing, energy & utility, retail, aerospace & defense, government, transportation, agriculture, media & entertainment, education, and. Based on end-user, the market can be segmented into the following: large enterprises, small and medium enterprises (SMEs), and public sector. The IT and telecom segment leads the market space as the IT industries are on the rise in emerging Asian economies. The demand for effective communication, data tracking, and evaluation techniques is likely to flourish in the segment during the forecast period.

Competition Scenario

3M, Google LLC, Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Nuance Communications Inc., Oracle Corporation, SAP SE, SAS Institute Inc., and Tibco Software Inc., among others, are the top companies in the global cognitive computing market.

With a sizable cognitive computing market share, these main firms are concentrating on growing their consumer base in new countries. These businesses are making use of strategic collaboration initiatives to grow their market share and profits.

Mid-size and smaller businesses, on the other hand, are expanding their market presence by gaining new contracts and entering new markets, thanks to technical developments and product innovations.

Market Developments

  • In May 2020, Udacity, a virtual learning tutoring service, announced the launch of a new AI healthcare plan. According to the digital educator, the new AI course teaches students about the use of AI in electronic health records, medical image processing, and other regions.
  • In December 2019, Accenture Inc., based in Ireland, acquired Clarity Insights, deep data analytics, and a machine learning firm based in the United States, to enhance AI.
  • In August 2019, Cisco Systems Inc., a technology company United States-based, acquired Voicea, enabling Cisco Systems to progress to providing AI-driven, cognitive collaborative projects all across the overall portfolio.
  • In September 2019, Schlumberger, Chevron, and Microsoft announced a partnership to accelerate new technologies. This collaboration was carried out in three stages, initiating with the adoption of the Petro technical Suite in the DELFI environment, achieved through the development of cloud-native applications on Azure. And subsequently with the co-innovation of a suite for cognitive computer processing native abilities.
  • Microsoft Corporation's cognitive computing platform has launched conversations on AI, and Azure cognitive services that are designed and developed through the help of leading data scientists.

Key Players

  • 3M
  • Google LLC
  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • Nuance Communications, Inc.
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • Tibco Software Inc.

Key Segments Covered

By Deployment:

  • On-premise Cognitive Computing
  • Cloud Cognitive Computing

By Application:

  • Diagnostic APIs
  • Robots
  • Cyber Security
  • Farm Mechanization
  • Social Media Monitoring
  • Self-Driving Cars
  • Gaming
  • Video Surveillance
  • e-Learning
  • IT Infrastructure Management
  • Supply Chain Management
  • Other Application

By Industry:

  • Healthcare
  • BFSI
  • IT and Telecom
  • Manufacturing
  • Energy & Utility
  • Retail
  • Aerospace & Defense
  • Government
  • Transportation
  • Agriculture
  • Media & Entertainment
  • Education
  • Other Industries (HR, Marketing & PR, etc.)

By End User:

  • Large Enterprises
  • Small and Medium Enterprises (SMEs)
  • Public Sector

By Regions:

  • North America
    • United States
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Spain
    • Russia
    • Rest of Europe
  • Japan
  • Asia Pacific Excluding Japan
    • China
    • India
    • Malaysia
    • Singapore
    • Australia
    • Rest of Asia Pacific Excluding Japan (APEJ)
  • The Middle East and Africa
    • GCC Countries
    • Israel
    • South Africa
    • Middle East and Africa (MEA)

Frequently Asked Questions

What is the Current Market Size?

The market is anticipated to be valued US$ 18.03 billion in 2023.

What is the Estimated Market Growth From 2023 to 2033?

The market is estimated to evolve at a CAGR of 26.3% till 2033.

What is the Market's Growth Perspective in China?

The China market is expected to develop at a CAGR of 29.3%.

What Will the Market Size Be In 2033?

By 2033, the market is estimated to be worth US$ 188.2 billion.

What is the Market's Growth Perspective in The United States?

In the United States, the market share to stand at 27.3%.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

        3.6.2. By Key Countries

    3.7. Regional Parent Market Outlook

4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033

        5.3.1. On-Premise

        5.3.2. Cloud

    5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033

        6.3.1. Diagnostic APIs

        6.3.2. Robots

        6.3.3. Cyber Security

        6.3.4. Farm Mechanization

        6.3.5. Social Media Monitoring

        6.3.6. Self-Driving Cars

        6.3.7. Gaming

        6.3.8. Video Surveillance

        6.3.9. e-Learning

        6.3.10. IT Infrastructure Management

        6.3.11. Supply Chain Management

        6.3.12. Others

    6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022

    7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033

        7.3.1. Healthcare

        7.3.2. BFSI

        7.3.3. IT and Telecom

        7.3.4. Manufacturing

        7.3.5. Energy & Utility

        7.3.6. Retail

        7.3.7. Aerospace & Defense

        7.3.8. Government

        7.3.9. Transportation

        7.3.10. Agriculture

        7.3.11. Media & Entertainment

        7.3.12. Others

    7.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022

    7.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User

    8.1. Introduction / Key Findings

    8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022

    8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033

        8.3.1. Large Enterprises

        8.3.2. Small and Medium Enterprises (SMEs)

        8.3.3. Public Sector

    8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022

    8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033

9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    9.1. Introduction

    9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        9.3.1. North America

        9.3.2. Latin America

        9.3.3. Europe

        9.3.4. South Asia

        9.3.5. East Asia

        9.3.6. Oceania

        9.3.7. MEA

    9.4. Market Attractiveness Analysis By Region

10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. USA

            10.2.1.2. Canada

        10.2.2. By Deployment

        10.2.3. By Application

        10.2.4. By Industry

        10.2.5. By End User

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Deployment

        10.3.3. By Application

        10.3.4. By Industry

        10.3.5. By End User

    10.4. Key Takeaways

11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. Brazil

            11.2.1.2. Mexico

            11.2.1.3. Rest of Latin America

        11.2.2. By Deployment

        11.2.3. By Application

        11.2.4. By Industry

        11.2.5. By End User

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Deployment

        11.3.3. By Application

        11.3.4. By Industry

        11.3.5. By End User

    11.4. Key Takeaways

12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. Germany

            12.2.1.2. UK

            12.2.1.3. France

            12.2.1.4. Spain

            12.2.1.5. Italy

            12.2.1.6. Rest of Europe

        12.2.2. By Deployment

        12.2.3. By Application

        12.2.4. By Industry

        12.2.5. By End User

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Deployment

        12.3.3. By Application

        12.3.4. By Industry

        12.3.5. By End User

    12.4. Key Takeaways

13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. India

            13.2.1.2. Malaysia

            13.2.1.3. Singapore

            13.2.1.4. Thailand

            13.2.1.5. Rest of South Asia

        13.2.2. By Deployment

        13.2.3. By Application

        13.2.4. By Industry

        13.2.5. By End User

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Deployment

        13.3.3. By Application

        13.3.4. By Industry

        13.3.5. By End User

    13.4. Key Takeaways

14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. China

            14.2.1.2. Japan

            14.2.1.3. South Korea

        14.2.2. By Deployment

        14.2.3. By Application

        14.2.4. By Industry

        14.2.5. By End User

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Deployment

        14.3.3. By Application

        14.3.4. By Industry

        14.3.5. By End User

    14.4. Key Takeaways

15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        15.2.1. By Country

            15.2.1.1. Australia

            15.2.1.2. New Zealand

        15.2.2. By Deployment

        15.2.3. By Application

        15.2.4. By Industry

        15.2.5. By End User

    15.3. Market Attractiveness Analysis

        15.3.1. By Country

        15.3.2. By Deployment

        15.3.3. By Application

        15.3.4. By Industry

        15.3.5. By End User

    15.4. Key Takeaways

16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        16.2.1. By Country

            16.2.1.1. GCC Countries

            16.2.1.2. South Africa

            16.2.1.3. Israel

            16.2.1.4. Rest of MEA

        16.2.2. By Deployment

        16.2.3. By Application

        16.2.4. By Industry

        16.2.5. By End User

    16.3. Market Attractiveness Analysis

        16.3.1. By Country

        16.3.2. By Deployment

        16.3.3. By Application

        16.3.4. By Industry

        16.3.5. By End User

    16.4. Key Takeaways

17. Key Countries Market Analysis

    17.1. USA

        17.1.1. Pricing Analysis

        17.1.2. Market Share Analysis, 2022

            17.1.2.1. By Deployment

            17.1.2.2. By Application

            17.1.2.3. By Industry

            17.1.2.4. By End User

    17.2. Canada

        17.2.1. Pricing Analysis

        17.2.2. Market Share Analysis, 2022

            17.2.2.1. By Deployment

            17.2.2.2. By Application

            17.2.2.3. By Industry

            17.2.2.4. By End User

    17.3. Brazil

        17.3.1. Pricing Analysis

        17.3.2. Market Share Analysis, 2022

            17.3.2.1. By Deployment

            17.3.2.2. By Application

            17.3.2.3. By Industry

            17.3.2.4. By End User

    17.4. Mexico

        17.4.1. Pricing Analysis

        17.4.2. Market Share Analysis, 2022

            17.4.2.1. By Deployment

            17.4.2.2. By Application

            17.4.2.3. By Industry

            17.4.2.4. By End User

    17.5. Germany

        17.5.1. Pricing Analysis

        17.5.2. Market Share Analysis, 2022

            17.5.2.1. By Deployment

            17.5.2.2. By Application

            17.5.2.3. By Industry

            17.5.2.4. By End User

    17.6. UK

        17.6.1. Pricing Analysis

        17.6.2. Market Share Analysis, 2022

            17.6.2.1. By Deployment

            17.6.2.2. By Application

            17.6.2.3. By Industry

            17.6.2.4. By End User

    17.7. France

        17.7.1. Pricing Analysis

        17.7.2. Market Share Analysis, 2022

            17.7.2.1. By Deployment

            17.7.2.2. By Application

            17.7.2.3. By Industry

            17.7.2.4. By End User

    17.8. Spain

        17.8.1. Pricing Analysis

        17.8.2. Market Share Analysis, 2022

            17.8.2.1. By Deployment

            17.8.2.2. By Application

            17.8.2.3. By Industry

            17.8.2.4. By End User

    17.9. Italy

        17.9.1. Pricing Analysis

        17.9.2. Market Share Analysis, 2022

            17.9.2.1. By Deployment

            17.9.2.2. By Application

            17.9.2.3. By Industry

            17.9.2.4. By End User

    17.10. India

        17.10.1. Pricing Analysis

        17.10.2. Market Share Analysis, 2022

            17.10.2.1. By Deployment

            17.10.2.2. By Application

            17.10.2.3. By Industry

            17.10.2.4. By End User

    17.11. Malaysia

        17.11.1. Pricing Analysis

        17.11.2. Market Share Analysis, 2022

            17.11.2.1. By Deployment

            17.11.2.2. By Application

            17.11.2.3. By Industry

            17.11.2.4. By End User

    17.12. Singapore

        17.12.1. Pricing Analysis

        17.12.2. Market Share Analysis, 2022

            17.12.2.1. By Deployment

            17.12.2.2. By Application

            17.12.2.3. By Industry

            17.12.2.4. By End User

    17.13. Thailand

        17.13.1. Pricing Analysis

        17.13.2. Market Share Analysis, 2022

            17.13.2.1. By Deployment

            17.13.2.2. By Application

            17.13.2.3. By Industry

            17.13.2.4. By End User

    17.14. China

        17.14.1. Pricing Analysis

        17.14.2. Market Share Analysis, 2022

            17.14.2.1. By Deployment

            17.14.2.2. By Application

            17.14.2.3. By Industry

            17.14.2.4. By End User

    17.15. Japan

        17.15.1. Pricing Analysis

        17.15.2. Market Share Analysis, 2022

            17.15.2.1. By Deployment

            17.15.2.2. By Application

            17.15.2.3. By Industry

            17.15.2.4. By End User

    17.16. South Korea

        17.16.1. Pricing Analysis

        17.16.2. Market Share Analysis, 2022

            17.16.2.1. By Deployment

            17.16.2.2. By Application

            17.16.2.3. By Industry

            17.16.2.4. By End User

    17.17. Australia

        17.17.1. Pricing Analysis

        17.17.2. Market Share Analysis, 2022

            17.17.2.1. By Deployment

            17.17.2.2. By Application

            17.17.2.3. By Industry

            17.17.2.4. By End User

    17.18. New Zealand

        17.18.1. Pricing Analysis

        17.18.2. Market Share Analysis, 2022

            17.18.2.1. By Deployment

            17.18.2.2. By Application

            17.18.2.3. By Industry

            17.18.2.4. By End User

    17.19. GCC Countries

        17.19.1. Pricing Analysis

        17.19.2. Market Share Analysis, 2022

            17.19.2.1. By Deployment

            17.19.2.2. By Application

            17.19.2.3. By Industry

            17.19.2.4. By End User

    17.20. South Africa

        17.20.1. Pricing Analysis

        17.20.2. Market Share Analysis, 2022

            17.20.2.1. By Deployment

            17.20.2.2. By Application

            17.20.2.3. By Industry

            17.20.2.4. By End User

    17.21. Israel

        17.21.1. Pricing Analysis

        17.21.2. Market Share Analysis, 2022

            17.21.2.1. By Deployment

            17.21.2.2. By Application

            17.21.2.3. By Industry

            17.21.2.4. By End User

18. Market Structure Analysis

    18.1. Competition Dashboard

    18.2. Competition Benchmarking

    18.3. Market Share Analysis of Top Players

        18.3.1. By Regional

        18.3.2. By Deployment

        18.3.3. By Application

        18.3.4. By Industry

        18.3.5. By End User

19. Competition Analysis

    19.1. Competition Deep Dive

        19.1.1. 3M

            19.1.1.1. Overview

            19.1.1.2. Product Portfolio

            19.1.1.3. Profitability by Market Segments

            19.1.1.4. Sales Footprint

            19.1.1.5. Strategy Overview

                19.1.1.5.1. Marketing Strategy

        19.1.2. Google LLC

            19.1.2.1. Overview

            19.1.2.2. Product Portfolio

            19.1.2.3. Profitability by Market Segments

            19.1.2.4. Sales Footprint

            19.1.2.5. Strategy Overview

                19.1.2.5.1. Marketing Strategy

        19.1.3. Hewlett Packard Enterprise Development LP

            19.1.3.1. Overview

            19.1.3.2. Product Portfolio

            19.1.3.3. Profitability by Market Segments

            19.1.3.4. Sales Footprint

            19.1.3.5. Strategy Overview

                19.1.3.5.1. Marketing Strategy

        19.1.4. International Business Machines Corporation

            19.1.4.1. Overview

            19.1.4.2. Product Portfolio

            19.1.4.3. Profitability by Market Segments

            19.1.4.4. Sales Footprint

            19.1.4.5. Strategy Overview

                19.1.4.5.1. Marketing Strategy

        19.1.5. Microsoft Corporation

            19.1.5.1. Overview

            19.1.5.2. Product Portfolio

            19.1.5.3. Profitability by Market Segments

            19.1.5.4. Sales Footprint

            19.1.5.5. Strategy Overview

                19.1.5.5.1. Marketing Strategy

        19.1.6. Nuance Communications, Inc.

            19.1.6.1. Overview

            19.1.6.2. Product Portfolio

            19.1.6.3. Profitability by Market Segments

            19.1.6.4. Sales Footprint

            19.1.6.5. Strategy Overview

                19.1.6.5.1. Marketing Strategy

        19.1.7. Oracle Corporation

            19.1.7.1. Overview

            19.1.7.2. Product Portfolio

            19.1.7.3. Profitability by Market Segments

            19.1.7.4. Sales Footprint

            19.1.7.5. Strategy Overview

                19.1.7.5.1. Marketing Strategy

        19.1.8. SAP SE

            19.1.8.1. Overview

            19.1.8.2. Product Portfolio

            19.1.8.3. Profitability by Market Segments

            19.1.8.4. Sales Footprint

            19.1.8.5. Strategy Overview

                19.1.8.5.1. Marketing Strategy

        19.1.9. SAS Institute Inc.

            19.1.9.1. Overview

            19.1.9.2. Product Portfolio

            19.1.9.3. Profitability by Market Segments

            19.1.9.4. Sales Footprint

            19.1.9.5. Strategy Overview

                19.1.9.5.1. Marketing Strategy

        19.1.10. Tibco Software Inc.

            19.1.10.1. Overview

            19.1.10.2. Product Portfolio

            19.1.10.3. Profitability by Market Segments

            19.1.10.4. Sales Footprint

            19.1.10.5. Strategy Overview

                19.1.10.5.1. Marketing Strategy

20. Assumptions & Acronyms Used

21. Research Methodology

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