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LAMEA Affective Computing Market by Component, by Technology, by End User, by Country, Industry Analysis and Forecast, 2020 - 2026

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    Report

  • 130 Pages
  • August 2020
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5146680
The Latin America, Middle East and Africa Affective Computing Market is expected to witness market growth of 40.6% CAGR during the forecast period (2020-2026).

Affective computing dependent on speech recognition assists in decoding emotions from inputs to the type of speech utilizing real-time speech emotion detection. The framework includes speech segmentation, voice activity detection, and signal pre-processing future extraction, emotional categorization, and statistical analysis of the emotional frequency. The framework can distinguish real-time speech emotions for different applications, for example, web-based (online) learning. The interest for speech and voice recognition software is anticipated to observe huge development over the forecast period due to progresses in AI-and ML-based procedures and the combination of associated devices with personal assistants.

The expanding interest for touchless sensing-based biometric solutions and the continued rollout of cell phones with the recent controlling and following functionalities are anticipated to open new development doors for the touchless fragment. Despite the fact that the development of the touchless section is limited at present due to the high switchover costs coupled with client resistance, the outbreak of the COVID-19 pandemic is slowly making the way for the acceptance of touchless affective computing solutions.

The capability to utilize Affective computing to create feelings for treating autism-based diseases is another factor expected to drive the development of the market. The growing demand for consumer electronics and IoT-based devices combined with the advancing needs for ease and comfort in product utilization is additionally expected to support the development of the market.

Based on Component, the market is segmented into Software and Hardware. Software segment is further classified across Speech Recognition, Enterprise Software, Face Recognition, Analytics Software and Others. Hardware segment is further segmented into Sensors, Storage Devices & Processors and Cameras & Others. Based on Technology, the market is segmented into Touch Based and Touchless. Based on End User, the market is segmented into Healthcare, Media & Entertainment, BFSI, Automotive, IT & Telecom, Retail & E-commerce and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Google, Inc., Apple, Inc., Qualcomm, Inc., Elliptic Laboratories A/S, Congnitec Systems GmbH, GestureTek, Inc., Eyesight Technologies Ltd., and Vocalis Health.

Scope of the Study

Market Segmentation:

By Component
  • Software
  • Speech Recognition
  • Enterprise Software
  • Face Recognition
  • Analytics Software
  • Others
  • Hardware
  • Sensors
  • Storage Devices & Processors
  • Cameras & Others

By Technology
  • Touch Based
  • Touchless

By End User
  • Healthcare
  • Media & Entertainment
  • BFSI
  • Automotive
  • IT & Telecom
  • Retail & E-commerce
  • Others

By Country
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Companies Profiled
  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • Apple, Inc.
  • Qualcomm, Inc.
  • Elliptic Laboratories A/S
  • Congnitec Systems GmbH
  • GestureTek, Inc.
  • Eyesight Technologies Ltd.
  • Vocalis Health

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  • Highest number of market tables and figures
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  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Latin America, Middle East and Africa (LAMEA) Affective Computing Market, by Component
1.4.2 Latin America, Middle East and Africa (LAMEA) Affective Computing Market, by Technology
1.4.3 Latin America, Middle East and Africa (LAMEA) Affective Computing Market, by End User
1.4.4 Latin America, Middle East and Africa (LAMEA) Affective Computing Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Executive Summary
2.1.3 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Mergers & Acquisitions
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2016-2020)
3.3.2 Key Strategic Move: (Partnerships, Collaborations, and Agreements : 2016, May – 2020, Jun) Leading Players
Chapter 4. LAMEA Affective Computing Market by Component
4.1 LAMEA Affective Computing Software Market by Country
4.2 LAMEA Affective Computing Market by Software Type
4.2.1 LAMEA Speech Recognition Affective Computing Market by Country
4.2.2 LAMEA Enterprise Software Affective Computing Market by Country
4.2.3 LAMEA Face Recognition Affective Computing Market by Country
4.2.4 LAMEA Analytics Software Affective Computing Market by Country
4.2.5 LAMEA Other Software Type Affective Computing Market by Country
4.3 LAMEA Affective Computing Hardware Market by Country
4.4 LAMEA Affective Computing Market by Hardware Type
4.4.1 LAMEA Affective Computing Sensors Market by Country
4.4.2 LAMEA Affective Computing Storage Devices & Processors Market by Country
4.4.3 LAMEA Affective Computing Cameras & Others Market by Country
Chapter 5. LAMEA Affective Computing Market by Technology
5.1 LAMEA Touch Based Affective Computing Market by Country
5.2 LAMEA Touchless Affective Computing Market by Country
Chapter 6. LAMEA Affective Computing Market by End Use
6.1 LAMEA Healthcare Affective Computing Market by Country
6.2 LAMEA Media & Entertainment Affective Computing Market by Country
6.3 LAMEA BFSI Affective Computing Market by Country
6.4 LAMEA Automotive Affective Computing Market by Country
6.5 LAMEA IT & Telecom Affective Computing Market by Country
6.6 LAMEA Retail & E-commerce Affective Computing Market by Country
6.7 LAMEA Others Affective Computing Market by Country
Chapter 7. LAMEA Affective Computing Market by Country
7.1 Brazil Affective Computing Market
7.1.1 Brazil Affective Computing Market by Component
7.1.1.1 Brazil Affective Computing Market by Software Type
7.1.1.2 Brazil Affective Computing Market by Hardware Type
7.1.2 Brazil Affective Computing Market by Technology
7.1.3 Brazil Affective Computing Market by End Use
7.2 Argentina Affective Computing Market
7.2.1 Argentina Affective Computing Market by Component
7.2.1.1 Argentina Affective Computing Market by Software Type
7.2.1.2 Argentina Affective Computing Market by Hardware Type
7.2.2 Argentina Affective Computing Market by Technology
7.2.3 Argentina Affective Computing Market by End Use
7.3 UAE Affective Computing Market
7.3.1 UAE Affective Computing Market by Component
7.3.1.1 UAE Affective Computing Market by Software Type
7.3.1.2 UAE Affective Computing Market by Hardware Type
7.3.2 UAE Affective Computing Market by Technology
7.3.3 UAE Affective Computing Market by End Use
7.4 Saudi Arabia Affective Computing Market
7.4.1 Saudi Arabia Affective Computing Market by Component
7.4.1.1 Saudi Arabia Affective Computing Market by Software Type
7.4.1.2 Saudi Arabia Affective Computing Market by Hardware Type
7.4.2 Saudi Arabia Affective Computing Market by Technology
7.4.3 Saudi Arabia Affective Computing Market by End Use
7.5 South Africa Affective Computing Market
7.5.1 South Africa Affective Computing Market by Component
7.5.1.1 South Africa Affective Computing Market by Software Type
7.5.1.2 South Africa Affective Computing Market by Hardware Type
7.5.2 South Africa Affective Computing Market by Technology
7.5.3 South Africa Affective Computing Market by End Use
7.6 Nigeria Affective Computing Market
7.6.1 Nigeria Affective Computing Market by Component
7.6.1.1 Nigeria Affective Computing Market by Software Type
7.6.1.2 Nigeria Affective Computing Market by Hardware Type
7.6.2 Nigeria Affective Computing Market by Technology
7.6.3 Nigeria Affective Computing Market by End Use
7.7 Rest of LAMEA Affective Computing Market
7.7.1 Rest of LAMEA Affective Computing Market by Component
7.7.1.1 Rest of LAMEA Affective Computing Market by Software Type
7.7.1.2 Rest of LAMEA Affective Computing Market by Hardware Type
7.7.2 Rest of LAMEA Affective Computing Market by Technology
7.7.3 Rest of LAMEA Affective Computing Market by End Use
Chapter 8. Company Profiles
8.1 IBM Corporation
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Regional & Segmental Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 Microsoft Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent strategies and developments:
8.2.5.1 Product Launches and Product Expansions:
8.2.5.2 Acquisition and Mergers:
8.2.6 SWOT Analysis
8.3 Google, Inc.
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Product Launches and Product Expansions:
8.3.6 SWOT Analysis
8.4 Apple, Inc.
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Product and Regional Analysis
8.4.4 Research & Development Expense
8.4.5 Recent strategies and developments:
8.4.5.1 Acquisition and Mergers:
8.4.6 SWOT Analysis
8.5 Qualcomm, Inc.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.6 SWOT Analysis
8.6 Elliptic Laboratories A/S
8.6.1 Company Overview
8.6.2 Recent strategies and developments:
8.6.2.1 Partnerships, Collaborations, and Agreements:
8.7 Cognitec Systems GmbH
8.7.1 Company Overview
8.7.2 Recent strategies and developments:
8.7.2.1 Product Launches and Product Expansions:
8.8 GestureTek, Inc.
8.8.1 Company Overview
8.9 Eyesight Technologies Ltd.
8.9.1 Company Overview
8.9.2 Recent strategies and developments:
8.9.2.1 Partnerships, Collaborations, and Agreements:
8.10 Vocalis Health
8.10.1 Company Overview
8.10.2 Recent strategies and developments:
8.10.2.1 Product Launches and Product Expansions:

Companies Mentioned

  • IBM Corporation
  • Microsoft Corporation
  • Google, Inc.
  • Apple, Inc.
  • Qualcomm, Inc.
  • Elliptic Laboratories A/S
  • Congnitec Systems GmbH
  • GestureTek, Inc.
  • Eyesight Technologies Ltd.
  • Vocalis Health

Methodology

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