Banking segment to cement its Dominance in the Global Cognitive Systems Spending Market in the Coming Years

In banking, cognitive systems are used for customer service, advisory and decision-making support, investment consulting, and others. The banking sector is the most attractive vertical segment in the global cognitive systems spending market. In terms of value, the banking segment is expected to gain a significant BPS in the global cognitive systems spending market over the forecast period.

The banking segment was estimated to account for more than 20% value share towards the end of 2019 and is expected to expand at a high CAGR of 15.5% than other segments of the global cognitive systems spending market during the period of forecast.

Also, cognitive analytics, in contrast, allows crunching a company’s big data as well as external information sources to forecast future events and behaviours as well as gives recommendations on the most rational behaviour in a given context. Cognitive systems allow conducting what-if analyses to predict the effect of potential changes in business strategies.

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Ability to diffuse huge data in the banking sector likely to boost the global cognitive systems spending market

The global cognitive systems spending market is experiencing numerous technological advancements permitted with exceptional features for several industries especially in the banking sector. Cognitive systems with high-definition technology can help in determining the world’s most composite data analysis difficulties by entering into the complexity of exploiting the power of big data, machine learning, natural language processing, and automated reasoning technology.

Some advances in technology would further benefit the diffusion of big data, thereby booming the growth of the global cognitive systems spending market in the forecast period. Another factor which is driving the growth of the global cognitive systems spending market is the challenge that most banks and financial institutions are facing in the present scenario. Banks have too much data and too little insight. That usually comes from using traditional analytical systems, which focus on examining historical data from relational databases and reporting answers to user queries.

Cognitive analytics, in contrast, allows crunching a company’s big data as well as external information sources to forecast future events and behaviours as well as gives recommendations on the most rational behaviour in a given context. Cognitive systems allow conducting what-if analyses to predict the effect of potential changes in business strategies.

  • Natural language processing technology is the most adaptable technology in the banking sector for cognitive systems due to its easy and advanced language conversation process and is therefore boosting the growth of the global cognitive systems spending market
  • Improvements in the variety, efficiency, and reliability of machine learning will make cognitive systems more usable and stable in the banking segment and thereby help increase their popularity. This machine learning improvement is a step forward in directing non-human operating cognitive systems, which are contributing to the growth of the market.
  • The recognition and widespread acceptance of consumer-based intelligent assistant applications in the banking segment will drive sales of enterprise-based cognitive systems

North America expected to expand at a higher CAGR during the forecast period in the banking segment

In terms of value, the banking segment was estimated to account for more than 20% value share by 2016 end and is expected to expand at a CAGR of 15.5% during the forecast period in North America. Banking segment is expected to witness comparatively high Y-o-Y growth rates ranging from 14.3% to 15.5% over 2016–2026.

In Latin America, the banking segment is lagging behind while healthcare and education sectors are ahead and expect to exhibit a higher CAGR during the forecast period. In Western Europe, the banking sector is the second largest segment in terms of value after the manufacturing segment, which is expected to exhibit a higher CAGR during the forecast period.

Sudip Saha
Sudip Saha

Principal Consultant

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IBM grabs more than 50% share in the global cognitive systems spending market

International Business Machines Corp (IBM) holds a market share in excess of 50% in the global cognitive systems spending market. The company is dominating the global market in banking along with hospital, manufacturing, and education cognitive systems. IBM Corporation aims to expand its presence in the Middle East and Africa having recently launched its offices in Kuwait, Saudi Arabia, Qatar, Angola, Nigeria, Kenya, Senegal, and Tanzania in order to strengthen its business in these regions.

International Business Machines Corp (IBM) holds a market share in excess of 50% in the global cognitive systems spending market. The company is dominating the global market in banking along with hospital, manufacturing, and education cognitive systems. IBM Corporation aims to expand its presence in the Middle East and Africa having recently launched its offices in Kuwait, Saudi Arabia, Qatar, Angola, Nigeria, Kenya, Senegal, and Tanzania in order to strengthen its business in these regions.

FREQUENTLY ASKED QUESTIONS ABOUT COGNITIVE SYSTEMS SPENDING MARKET

What are the future prospects of cognitive systems spending market?

Natural language processing technology is the most adaptable technology in the banking sector for cognitive systems due to its easy and advanced language conversation process therefore boosting the growth of the global cognitive systems spending market.

What are the major challenges for cognitive systems spending market?

Lack of compliance on the part of cognitive systems provider, as well as lack of user knowledge & awareness regarding cognitive systems, which is a major challenge for the cognitive systems spending market.

Which verticals will have significant revenue growth in the next five years?

The banking segment has been considered as largest revenue growth in the next five years due to the improvements in the variety, efficiency, and reliability of machine learning.

What are the major opportunities for cognitive systems spending market?

The recognition and widespread acceptance of consumer-based intelligent assistant applications, which is a major opportunities for the cognitive systems spending market

Which region is expected to be at forefront in the cognitive systems spending market?

The continuous development in cognitive computer technology for educational and healthcare applications such as enhancing the student’s learning experience, and evaluate information about the patient, among others, which is, in turn, boosting the growth of the cognitive systems spending market in North America.

Who are the major companies leading cognitive systems spending market?

Prominent companies in the Cognitive Systems Spending market includes International Business Machines Corporation, Accenture Plc., HP Inc., Microsoft Corp., Intel Corporation, Attivio, Wipro Limited, Cognitive Scale Inc.,  IPsoft Inc. and among others.

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Cognitive Systems Spending Market: Segmentation

The global cognitive systems spending market is segmented in detail to cover every aspect of the market and present a complete market intelligence approach to readers.The global cognitive systems spending market is segmented in detail to cover every aspect of the market and present a complete market intelligence approach to readers.

Product Type:

  • Hardware
  • Software
  • Services

Deployment Type:

  • Public
  • On-Premise

Technology Type:

  • Natural Language Processing
  • Machine Learning
  • Automated Reasoning

By Verticals:

  • Banking
  • Education
  • Government
  • Healthcare
  • Insurance
  • Manufacturing
  • Securities and Investment Services
  • Telecommunicati-ons
  • Transportation
  • Other Industries (Cross industries, Discrete manufacturing, Process manufacturing, Retail)

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • MEA

Frequently Asked Questions

What is the Demand Analysis for Cognitive Systems Spending?

Demand for cognitive systems spending is likely to grow at a CAGR of 15% through 2032.

How much Sales of Cognitive Systems Spending can be Anticipated by 2032?

Sales of cognitive systems spending is likely to exceed a valuation of US$ 49222 million by 2032.

What is the Adoption Potential of Cognitive Systems Spending?

Adoption of cognitive systems spending is likely to reach a valuation of US$ 12167 million in 2022.

Which Region is the Key Cognitive Systems Spending Market Contributor?

North America is the key cognitive systems spending market contributor.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand Side Trends

    1.3. Supply Side Trends

    1.4. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Structure Analysis

    3.1. Market Analysis by Tier of Companies

    3.2. Market Concentration

    3.3. Market Share Analysis of Top Players

    3.4. Market Presence Analysis

        3.4.1. Regional Footprint by Players

        3.4.2. Product Footprint by Players

        3.4.3. Channel Footprint by Players

4. Global Cognitive Systems Spending Demand (in Value or Size in US$ Mn) Analysis 2015-2019 and Forecast, 2020-2030

    4.1. Historical Market Value (US$ Mn) Analysis, 2015-2019

    4.2. Current and Future Market Value (US$ Mn) Projections, 2020-2030

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Market Background

    5.1. Macro-Economic Factors

        5.1.1. Global GDP Growth Outlook

        5.1.2. Global City Growth Outlook

        5.1.3. Global ICT Spending Outlook

    5.2. Forecast Factors - Relevance & Impact

    5.3. Value Chain

    5.4. Market Dynamics

        5.4.1. Drivers

        5.4.2. Restraints

        5.4.3. Opportunity Analysis

6. Global Cognitive Systems Spending, Key Use Cases (Qualitative)

    6.1. How Cognitive Systems Spending used in Healthcare Industry 

    6.2. Cognitive Systems Spending for Educational System 

    6.3. The Growing Cognitive Systems Spending for Accurate Data Analysis, and Improved Customer Interaction 

    6.4. Others

7. Global Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030, By Product Type

    7.1. Introduction / Key Findings

    7.2. Historical Market Size (US$ Mn) Analysis By Product Type, 2015 - 2019

    7.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Product Type, 2020 - 2030

        7.3.1. Hardware

        7.3.2. Software

        7.3.3. Deployment Type

    7.4.  Market Attractiveness Analysis By Product Type

8. Global Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030, By Deployment Type

    8.1. Introduction / Key Findings

    8.2. Historical Market Size (US$ Mn) Analysis By Deployment Type, 2015 - 2019

    8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment Type, 2020 - 2030

        8.3.1. Public

        8.3.2. On-Premise

    8.4.  Market Attractiveness Analysis By Deployment Type

9. Global Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030, By Technology Type

    9.1. Introduction / Key Findings

    9.2. Historical Market Size (US$ Mn) Analysis By Technology Type, 2015 - 2019

    9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Technology Type, 2020 - 2030

        9.3.1. Natural Language Processing

        9.3.2. Machine Learning

        9.3.3. Automated Reasoning

    9.4. Market Attractiveness Analysis By Technology Type

10. Global Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030, By Verticals

    10.1. Introduction / Key Findings

    10.2. Historical Market Size (US$ Mn) Analysis By Verticals, 2015 - 2019

    10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Verticals, 2020 - 2030

        10.3.1. Banking

        10.3.2. Education

        10.3.3. Government

        10.3.4. Healthcare

        10.3.5. Insurance

        10.3.6. Manufacturing

        10.3.7. Securities and Investment Services

        10.3.8. Telecommunications

        10.3.9. Transportation

        10.3.10. Other Industries (Cross industries, Discrete manufacturing, Process manufacturing, Retail)

    10.4. Market Attractiveness Analysis By Verticals

11. Global Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030, by Region

    11.1. Introduction / Key Findings

    11.2. Historical Market Size (US$ Mn) Analysis By Region, 2015 - 2019

    11.3. Current Market Size (US$ Mn) Analysis and Forecast By Region, 2020 - 2030

        11.3.1. North America

        11.3.2. Latin America

        11.3.3. Europe

        11.3.4. East Asia

        11.3.5. South Asia & Pacific

        11.3.6. Middle East and Africa (MEA)

    11.4. Market Attractiveness Analysis By Region

12. North America Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    12.1. Introduction / Key Findings

    12.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    12.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        12.3.1.  By Country

            12.3.1.1. U.S.

            12.3.1.2. Canada

        12.3.2. By Product Type

        12.3.3. By Deployment Type

        12.3.4. By Technology Type

        12.3.5. By Verticals

    12.4. Market Attractiveness Analysis

        12.4.1. By Country

        12.4.2. By Product Type

        12.4.3. By Deployment Type

        12.4.4. By Technology Type

        12.4.5. By Verticals

    12.5. Key Market Participants - Intensity Mapping

    12.6. Drivers and Restraints - Impact Analysis

13. Latin America Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    13.1. Introduction / Key Findings

    13.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    13.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        13.3.1.  By Country

            13.3.1.1. Brazil

            13.3.1.2. Mexico

            13.3.1.3. Rest of Latin America

        13.3.2. By Product Type

        13.3.3. By Deployment Type

        13.3.4. By Technology Type

        13.3.5. By Verticals

    13.4. Market Attractiveness Analysis

        13.4.1. By Country

        13.4.2. By Product Type

        13.4.3. By Deployment Type

        13.4.4. By Technology Type

        13.4.5. By Verticals

    13.5. Key Market Participants - Intensity Mapping

    13.6. Drivers and Restraints - Impact Analysis

14. Europe Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    14.1. Introduction / Key Findings

    14.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    14.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        14.3.1.  By Country

            14.3.1.1. UK

            14.3.1.2. France

            14.3.1.3. Germany

            14.3.1.4. Italy

            14.3.1.5. Spain

            14.3.1.6. BENELUX

            14.3.1.7. Russia

        14.3.2. By Product Type

        14.3.3. By Deployment Type

        14.3.4. By Technology Type

        14.3.5. By Verticals

    14.4. Market Attractiveness Analysis

        14.4.1. By Country

        14.4.2. By Product Type

        14.4.3. By Deployment Type

        14.4.4. By Technology Type

        14.4.5. By Verticals 

    14.5. Key Market Participants - Intensity Mapping

    14.6. Drivers and Restraints - Impact Analysis

15. East Asia Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    15.1. Introduction / Key Findings

    15.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    15.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        15.3.1.  By Country

            15.3.1.1. China

            15.3.1.2. Japan

            15.3.1.3. South Korea

        15.3.2. By Product Type

        15.3.3. By Deployment Type

        15.3.4. By Technology Type

        15.3.5. By Verticals 

    15.4. Market Attractiveness Analysis

        15.4.1. By Country

        15.4.2. By Product Type

        15.4.3. By Deployment Type

        15.4.4. By Technology Type

        15.4.5. By Verticals 

    15.5. Key Market Participants - Intensity Mapping

    15.6. Drivers and Restraints - Impact Analysis

16. South Asia & Pacific Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    16.1. Introduction / Key Findings

    16.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    16.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        16.3.1.  By Country

            16.3.1.1. India

            16.3.1.2. Thailand

            16.3.1.3. Indonesia

            16.3.1.4. Malaysia

            16.3.1.5. Australia & New Zealand

        16.3.2. By Product Type

        16.3.3. By Deployment Type

        16.3.4. By Technology Type

        16.3.5. By Verticals 

    16.4. Market Attractiveness Analysis

        16.4.1. By Country

        16.4.2. By Product Type

        16.4.3. By Deployment Type

        16.4.4. By Technology Type

        16.4.5. By Verticals 

    16.5. Key Market Participants - Intensity Mapping

    16.6. Drivers and Restraints - Impact Analysis

17. Middle East and Africa Cognitive Systems Spending Analysis 2015-2019 and Forecast 2020-2030

    17.1. Introduction / Key Findings

    17.2. Historical Market Size (US$ Mn) Analysis By Market Taxonomy, 2015 - 2019

    17.3. Market Size (US$ Mn) Forecast By Market Taxonomy, 2020 - 2030

        17.3.1.  By Country

            17.3.1.1. GCC Countries

            17.3.1.2. Turkey

            17.3.1.3. South Africa

        17.3.2. By Product Type

        17.3.3. By Deployment Type

        17.3.4. By Technology Type

        17.3.5. By Verticals 

    17.4. Market Attractiveness Analysis

        17.4.1. By Country

        17.4.2. By Product Type

        17.4.3. By Deployment Type

        17.4.4. By Technology Type

        17.4.5. By Verticals 

    17.5. Key Market Participants - Intensity Mapping

    17.6. Drivers and Restraints - Impact Analysis

18. Key Country Analysis- Cognitive Systems Spending Analysis 

    18.1. U.S. Retail Market

        18.1.1. By Product Type

        18.1.2. By Deployment Type

        18.1.3. By Technology Type

        18.1.4. By Verticals 

    18.2. Canada Retail Market

        18.2.1. By Product Type

        18.2.2. By Deployment Type

        18.2.3. By Technology Type

        18.2.4. By Verticals 

    18.3. Brazil Retail Market

        18.3.1. By Product Type

        18.3.2. By Deployment Type

        18.3.3. By Technology Type

        18.3.4. By Verticals 

    18.4. Mexico Retail Market

        18.4.1. By Product Type

        18.4.2. By Deployment Type

        18.4.3. By Technology Type

        18.4.4. By Verticals 

    18.5. UK Retail Market

        18.5.1. By Product Type

        18.5.2. By Deployment Type

        18.5.3. By Technology Type

        18.5.4. By Verticals 

    18.6. Germany Retail Market

        18.6.1. By Product Type

        18.6.2. By Deployment Type

        18.6.3. By Technology Type

        18.6.4. By Verticals 

    18.7. France Retail Market

        18.7.1. By Product Type

        18.7.2. By Deployment Type

        18.7.3. By Technology Type

        18.7.4. By Verticals 

    18.8. Spain Retail Market

        18.8.1. By Product Type

        18.8.2. By Deployment Type

        18.8.3. By Technology Type

        18.8.4. By Verticals 

    18.9. Italy Retail Market

        18.9.1. By Product Type

        18.9.2. By Deployment Type

        18.9.3. By Technology Type

        18.9.4. By Verticals 

    18.10. BENELUX Retail Market

        18.10.1. By Product Type

        18.10.2. By Deployment Type

        18.10.3. By Technology Type

        18.10.4. By Verticals 

    18.11. Russia Retail Market

        18.11.1. By Product Type

        18.11.2. By Deployment Type

        18.11.3. By Technology Type

        18.11.4. By Verticals 

    18.12. China Retail Market

        18.12.1. By Product Type

        18.12.2. By Deployment Type

        18.12.3. By Technology Type

        18.12.4. By Verticals 

    18.13. Japan Retail Market

        18.13.1. By Product Type

        18.13.2. By Deployment Type

        18.13.3. By Technology Type

        18.13.4. By Verticals 

    18.14. South Korea Retail Market

        18.14.1. By Product Type

        18.14.2. By Deployment Type

        18.14.3. By Technology Type

        18.14.4. By Verticals 

    18.15. India Retail Market

        18.15.1. By Product Type

        18.15.2. By Deployment Type

        18.15.3. By Technology Type

        18.15.4. By Verticals 

    18.16. Thailand Retail Market

        18.16.1. By Product Type

        18.16.2. By Deployment Type

        18.16.3. By Technology Type

        18.16.4. By Verticals 

    18.17. Indonesia Retail Market

        18.17.1. By Product Type

        18.17.2. By Deployment Type

        18.17.3. By Technology Type

        18.17.4. By Verticals 

    18.18. Malaysia Retail Market

        18.18.1. By Product Type

        18.18.2. By Deployment Type

        18.18.3. By Technology Type

        18.18.4. By Verticals 

    18.19. Australia & New Zealand Retail Market

        18.19.1. By Product Type

        18.19.2. By Deployment Type

        18.19.3. By Technology Type

        18.19.4. By Verticals 

    18.20. GCC Countries Retail Market

        18.20.1. By Product Type

        18.20.2. By Deployment Type

        18.20.3. By Technology Type

        18.20.4. By Verticals 

    18.21. Turkey Retail Market

        18.21.1. By Product Type

        18.21.2. By Deployment Type

        18.21.3. By Technology Type

        18.21.4. By Verticals 

    18.22. South Africa Retail Market

        18.22.1. By Product Type

        18.22.2. By Deployment Type

        18.22.3. By Technology Type

        18.22.4. By Verticals 

19. Competition Analysis

    19.1. Competition Dashboard

    19.2. Pricing Analysis, by Competition

    19.3. Competition Deep Dive 

        19.3.1. International Business Machines Corporation.

            19.3.1.1. Overview

            19.3.1.2. Product/Service Portfolio

            19.3.1.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.1.4. Sales Footprint

            19.3.1.5. Strategy Overview

                19.3.1.5.1. Marketing Strategy

                19.3.1.5.2. Product Strategy

                19.3.1.5.3. Channel Strategy

        19.3.2. Accenture Plc.

            19.3.2.1. Overview

            19.3.2.2. Product/Service Portfolio

            19.3.2.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.2.4. Sales Footprint

            19.3.2.5. Strategy Overview

                19.3.2.5.1. Marketing Strategy

                19.3.2.5.2. Product Strategy

                19.3.2.5.3. Channel Strategy

        19.3.3. Microsoft Corporation

            19.3.3.1. Overview

            19.3.3.2. Product/Service Portfolio

            19.3.3.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.3.4. Sales Footprint

            19.3.3.5. Strategy Overview

                19.3.3.5.1. Marketing Strategy

                19.3.3.5.2. Product Strategy

                19.3.3.5.3. Channel Strategy

        19.3.4. HP Inc.

            19.3.4.1. Overview

            19.3.4.2. Product/Service Portfolio

            19.3.4.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.4.4. Sales Footprint

            19.3.4.5. Strategy Overview

                19.3.4.5.1. Marketing Strategy

                19.3.4.5.2. Product Strategy

                19.3.4.5.3. Channel Strategy

        19.3.5. Intel Corporation

            19.3.5.1. Overview

            19.3.5.2. Product/Service Portfolio

            19.3.5.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.5.4. Sales Footprint

            19.3.5.5. Strategy Overview

                19.3.5.5.1. Marketing Strategy

                19.3.5.5.2. Product Strategy

                19.3.5.5.3. Channel Strategy

        19.3.6. Attivio

            19.3.6.1. Overview

            19.3.6.2. Product/Service Portfolio

            19.3.6.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.6.4. Sales Footprint

            19.3.6.5. Strategy Overview

                19.3.6.5.1. Marketing Strategy

                19.3.6.5.2. Product Strategy

                19.3.6.5.3. Channel Strategy

        19.3.7. Wipro Limited

            19.3.7.1. Overview

            19.3.7.2. Product/Service Portfolio

            19.3.7.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.7.4. Sales Footprint

            19.3.7.5. Strategy Overview

                19.3.7.5.1. Marketing Strategy

                19.3.7.5.2. Product Strategy

                19.3.7.5.3. Channel Strategy

        19.3.8. Cognitive Scale Inc.

            19.3.8.1. Overview

            19.3.8.2. Product/Service Portfolio

            19.3.8.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.8.4. Sales Footprint

            19.3.8.5. Strategy Overview

                19.3.8.5.1. Marketing Strategy

                19.3.8.5.2. Product Strategy

                19.3.8.5.3. Channel Strategy

        19.3.9. IPsoft Inc.

            19.3.9.1. Overview

            19.3.9.2. Product/Service Portfolio

            19.3.9.3. Profitability by Market Segments (Product/Channel/Region)

            19.3.9.4. Sales Footprint

            19.3.9.5. Strategy Overview

                19.3.9.5.1. Marketing Strategy

                19.3.9.5.2. Product Strategy

                19.3.9.5.3. Channel Strategy

20. Assumptions and Acronyms Used

21. Research Methodology

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