세계의 음성 인식 및 화자 인식 시장(-2030년) : 기술(화자 식별, 화자 인증, 자동 음성), 용도(음성 검색, 음성 명령, 실시간 문자 일으켜, 음성 생체인식, 고객 서비스), 모드별

The global speech and voice recognition market is projected to grow from USD 9.66 billion in 2025 to USD 23.11 billion by 2030, at a CAGR of 19.1%. The speech and voice recognition market is growing significantly due to the expanding penetration of voice technology in smart appliances. Devices such as smart TVs, refrigerators, washing machines, thermostats, and lighting systems are increasingly being equipped with built-in voice control features, enabling users to operate them hands-free with simple voice commands. This integration enhances convenience, accessibility, and user experience, making homes more intuitive and connected.

Consumers are drawn to the efficiency and personalization offered by voice-enabled appliances. Additionally, rising demand for energy-efficient and automated home systems is accelerating adoption, while advancements in AI and IoT continue to drive innovation in this space.

"Voice recognition segment to grow at the fastest CAGR during the forecasted period."

Voice recognition is growing at the fastest rate within the speech and voice recognition market due to its increasing adoption across both consumer and enterprise applications. As users seek faster, more intuitive, and hands-free interaction, voice commands are becoming preferred in smartphones, smart speakers, wearables, and automotive systems. The rise of smart homes and IoT ecosystems is further driving demand for voice-activated control. In the enterprise space, sectors like healthcare, customer service, and logistics are leveraging voice recognition to streamline operations, improve documentation, and enhance user engagement. Additionally, remote work and virtual collaboration tools now integrate voice features for real-time transcription and navigation. Continuous advancements in natural language understanding, contextual awareness, and multilingual support have greatly improved voice accuracy and user experience. Moreover, voice recognition plays a critical role in enhancing accessibility for differently-abled users, adding to its broad appeal and accelerating its adoption globally across various use cases.

"Voice search segment dominated the speech and voice recognition market in 2024."

The voice search segment dominated the speech and voice recognition market in 2024 due to its widespread use across smartphones, smart speakers, and web applications. Consumers increasingly prefer voice search for its speed, convenience, and hands-free functionality, especially for tasks like browsing, navigation, and local business inquiries. Major tech players like Google, Apple, Amazon, and Microsoft have deeply integrated voice search into their ecosystems, boosting usage through virtual assistants such as Google Assistant, Siri, Alexa, and Cortana. Additionally, advancements in natural language processing and AI have significantly improved the accuracy and relevance of voice search results, encouraging user adoption. The growing use of voice for e-commerce, media access, and daily tasks has made it a dominant interface, particularly among younger and multilingual user bases. As users seek more conversational and efficient ways to interact with technology, voice search continues to lead the market in both consumer and enterprise applications.

The US is expected to hold the most prominent market share in North America during the forecast period."

The US dominates the speech and voice recognition market in North America due to its advanced technological infrastructure, high adoption of AI-driven solutions, and presence of key global players such as Apple, Google, Amazon, Microsoft, and IBM. These companies drive continuous innovation in voice assistants, cloud-based speech services, and smart device integration. The US also leads in R&D investments, startup activity, and deployment of speech technologies across sectors like healthcare, finance, retail, and automotive. Additionally, growing demand for contactless solutions, voice biometrics, and personalized digital experiences has accelerated adoption. Strong consumer demand, regulatory support for accessibility, and enterprise digitalization further reinforce the US's leadership in this market.

In-depth interviews have been conducted with chief executive officers (CEOs), directors, and other executives from various key organizations operating in the speech and voice recognition marketplace.

• By Company Type: Tier 1 - 35%, Tier 2 - 45%, and Tier 3 - 20%
• By Designation: C-level Executives - 35%, Directors - 25%, and Others - 40%
• By Region: North America - 45%, Europe - 20%, Asia Pacific - 30%, and RoW - 5%

The study includes an in-depth competitive analysis of these key players in the speech and voice recognition market, with their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the speech and voice recognition market by technology, deployment mode, application, vertical, and region (North America, Europe, Asia Pacific). The report covers detailed information regarding major factors influencing market growth, such as drivers, restraints, challenges, and opportunities. A thorough analysis of the key industry players has provided insights into their business overview, solutions and services, key strategies, contracts, partnerships, and agreements. Product and service launches, acquisitions, and recent developments associated with the speech and voice recognition market. This report covers a competitive analysis of upcoming startups in the speech and voice recognition market ecosystem.

Reasons to Buy This Report

The report will help market leaders and new entrants with information on the closest approximations of the revenue numbers for the speech and voice recognition market and subsegments. It will also help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Escalated use of speech and voice recognition software by healthcare professionals, extensive penetration of speech and voice recognition technologies in smart appliances, increasing demand for speech and voice recognition technologies for transcription, increasing adoption of voice based biometric systems in financial service providers), restraints (Limitation of software to understand contextual relation of words in different languages, Limited capacity to recognize and respond to customer intent), opportunities (Customer preference for cloud-based speech-to-text software, Increasing popularity of online shopping, Development of personalized applications for users), and challenges (Creating unique vocabulary for various industries, Increased errors due to background noise) influencing the growth of the speech and voice recognition market.
• Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and product launches in the speech and voice recognition market
• Market Development: Comprehensive information about lucrative markets with an analysis of the speech and voice recognition market across varied regions
• Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the speech and voice recognition market
• Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players in the speech and voice recognition market, such as Apple Inc. (US), Microsoft (US), IBM (US), Alphabet (US), and Amazon (US)

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKETS COVERED AND REGIONAL SCOPE
  • 1.3.2 YEARS CONSIDERED
  • 1.3.3 INCLUSIONS AND EXCLUSIONS
• 1.4 CURRENCY CONSIDERED
• 1.5 LIMITATIONS
• 1.6 STAKEHOLDERS
• 1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY AND PRIMARY RESEARCH
  • 2.1.2 SECONDARY DATA
    • 2.1.2.1 Key data from secondary sources
    • 2.1.2.2 List of key secondary sources
  • 2.1.3 PRIMARY DATA
    • 2.1.3.1 Key data from primary sources
    • 2.1.3.2 Key industry insights
    • 2.1.3.3 List of primary interview participants
    • 2.1.3.4 Breakdown of primaries
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 BOTTOM-UP APPROACH
    • 2.2.1.1 Approach to arrive at market size using bottom-up analysis (demand side)
  • 2.2.2 TOP-DOWN APPROACH
    • 2.2.2.1 Approach to arrive at market size using top-down analysis (supply side)
• 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
• 2.5 RESEARCH LIMITATIONS
• 2.6 RISK ANALYSIS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN SPEECH AND VOICE RECOGNITION MARKET
• 4.2 SPEECH AND VOICE RECOGNITION MARKET, BY TECHNOLOGY
• 4.3 SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION
• 4.4 SPEECH AND VOICE RECOGNITION MARKET, BY VERTICAL AND REGION
• 4.5 SPEECH AND VOICE RECOGNITION MARKET, BY GEOGRAPHY

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Mounting demand for advanced healthcare technologies
    • 5.2.1.2 Growing consumption of smart home appliances
    • 5.2.1.3 Rising need for real-time transcription in virtual meetings and industrial settings
    • 5.2.1.4 Increasing adoption of voice biometric systems in financial services sector
    • 5.2.1.5 Rising integration of AI into speech and voice recognition systems
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Inability to identify homophones and understand terms in different languages
    • 5.2.2.2 Limitations in gathering datasets for establishing approach that accurately converts speech to text
    • 5.2.2.3 Multilingual and intent recognition challenges of voice assistants
    • 5.2.2.4 Concerns regarding data privacy and security
    • 5.2.2.5 High cost of high-end voice recognition systems deployed in automobiles
    • 5.2.2.6 Requirement for high R&D investment in neural networks and deep learning technologies
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Customer preference for cloud-based speech-to-text software
    • 5.2.3.2 Growing popularity of online shopping
    • 5.2.3.3 Development of personalized, human-centric technologies
    • 5.2.3.4 Integration of speech and voice recognition technology with mobile applications
    • 5.2.3.5 Development of speech and voice recognition software for micro-linguistics and local languages
    • 5.2.3.6 Application of speech and voice recognition technologies in service robotics
    • 5.2.3.7 Reliance on cutting-edge technologies to educate disabled students
    • 5.2.3.8 Increasing R&D of autonomous vehicles
    • 5.2.3.9 Consumer preference for technologically advanced products
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Complexities in creating unique vocabulary for various industries
    • 5.2.4.2 Limited awareness regarding availability and benefits of voice assistant technologies
    • 5.2.4.3 Increased errors due to background noise
    • 5.2.4.4 Lack of standardized platform for developing customized products
    • 5.2.4.5 Slow network speeds posing challenge to cloud-based speech recognition services
• 5.3 VALUE CHAIN ANALYSIS
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 PRICING ANALYSIS
  • 5.5.1 AVERAGE SELLING PRICE OF AUTOMATIC SPEECH RECOGNITION TECHNOLOGY OFFERED BY KEY PLAYERS, 2024
  • 5.5.2 AVERAGE SELLING PRICE TREND OF SPEECH AND VOICE RECOGNITION SYSTEMS, BY TECHNOLOGY, 2020-2024
  • 5.5.3 AVERAGE SELLING PRICE TREND OF AUTOMATIC SPEECH RECOGNITION TECHNOLOGY, BY REGION, 2020-2024
• 5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.7 CASE STUDY ANALYSIS
  • 5.7.1 SESTEK HELPS TEKNOSA INCREASE FIRST-CALL RESOLUTION RATE AND SHORTEN CALL DURATIONS AT CONTACT CENTER
  • 5.7.2 SESTEK ASSISTS AGENTS AT AL BARAKA BANK CONTACT CENTER TO SIGNIFICANTLY IMPROVE EFFICIENCY AND REDUCE WORKLOAD
  • 5.7.3 MICROSOFT TRANSLATOR APPLICATION FACILITATES MULTILINGUAL PARENT-TEACHER COMMUNICATION AT CHINOOK MIDDLE SCHOOL
  • 5.7.4 IBM WATSON HELPS BRADESCO BANK REDUCE RESPONSE TIME USING SPEECH RECOGNITION AI BOT
  • 5.7.5 ALEXA AIDS HAWAII PACIFIC HEALTH IN ENHANCING PATIENT EXPERIENCE BY QUERY RESOLUTION
  • 5.7.6 CHATBOT BY ROANUZ ANSWERS USER QUERIES QUICKLY
• 5.8 PORTER'S FIVE FORCES ANALYSIS
  • 5.8.1 THREAT OF NEW ENTRANTS
  • 5.8.2 THREAT OF SUBSTITUTES
  • 5.8.3 BARGAINING POWER OF BUYERS
  • 5.8.4 BARGAINING POWER OF SUPPLIERS
  • 5.8.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.9 KEY STAKEHOLDERS & BUYING CRITERIA
  • 5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.9.2 BUYING CRITERIA
• 5.10 TECHNOLOGY ANALYSIS
  • 5.10.1 KEY TECHNOLOGIES
    • 5.10.1.1 Natural language processing
    • 5.10.1.2 Voice activity detection
  • 5.10.2 ADJACENT TECHNOLOGIES
    • 5.10.2.1 Cloud computing
    • 5.10.2.2 Edge AI
  • 5.10.3 COMPLEMENTARY TECHNOLOGIES
    • 5.10.3.1 Internet of Things (IoT)
    • 5.10.3.2 Smart wearables
• 5.11 PATENT ANALYSIS
• 5.12 TRADE ANALYSIS
  • 5.12.1 IMPORT SCENARIO (HS CODE 851989)
  • 5.12.2 EXPORT SCENARIO (HS CODE 851989)
• 5.13 TARIFF AND REGULATORY LANDSCAPE
  • 5.13.1 TARIFF ANALYSIS
  • 5.13.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13.3 CODES AND STANDARDS
• 5.14 KEY CONFERENCES AND EVENTS, 2025-2026
• 5.15 IMPACT OF AI ON SPEECH AND VOICE RECOGNITION MARKET
  • 5.15.1 INTRODUCTION
  • 5.15.2 AI USE CASES IN SPEECH AND VOICE RECOGNITION MARKET
• 5.16 IMPACT OF 2025 US TARIFF ON SPEECH AND VOICE RECOGNITION MARKET
  • 5.16.1 INTRODUCTION
  • 5.16.2 KEY TARIFF RATES
  • 5.16.3 PRICE IMPACT ANALYSIS
  • 5.16.4 IMPACT ON COUNTRIES/REGIONS
    • 5.16.4.1 US
    • 5.16.4.2 Europe
    • 5.16.4.3 Asia Pacific
  • 5.16.5 IMPACT ON VERTICALS

6 SPEECH AND VOICE RECOGNITION TYPES

• 6.1 INTRODUCTION
• 6.2 AI-BASED
• 6.3 NON-AI-BASED

7 SPEECH AND VOICE RECOGNITION MARKET, BY TECHNOLOGY

• 7.1 INTRODUCTION
• 7.2 VOICE RECOGNITION
  • 7.2.1 SPEAKER IDENTIFICATION
    • 7.2.1.1 Growing trend of automatic information processing and telecommunication technology to fuel segmental growth
  • 7.2.2 SPEAKER VERIFICATION
    • 7.2.2.1 Increasing adoption in banks and financial services to prevent fraudulent attempts to boost segmental growth
• 7.3 AUTOMATIC SPEECH RECOGNITION
  • 7.3.1 RISING DEPLOYMENT OF VOICE-CONTROLLED TECHNOLOGIES TO ENHANCE TRUST AND CUSTOMER ENGAGEMENT TO AUGMENT SEGMENTAL GROWTH

8 SPEECH AND VOICE RECOGNITION MARKET, BY DEPLOYMENT MODE

• 8.1 INTRODUCTION
• 8.2 CLOUD-BASED
  • 8.2.1 LOW OPERATION AND MAINTENANCE EXPENSES AND QUICKER DEPLOYMENTS TO FUEL SEGMENTAL GROWTH
• 8.3 ON-PREMISES
  • 8.3.1 GROWING CONCERNS OVER DATA PRIVACY AND SECURITY TO BOLSTER SEGMENTAL GROWTH

9 SPEECH AND VOICE RECOGNITION MARKET, BY APPLICATION

• 9.1 INTRODUCTION
• 9.2 VOICE SEARCH
  • 9.2.1 ABILITY TO PROVIDE QUICK, HANDS-FREE ACCESS TO INFORMATION, NAVIGATION, AND SERVICES TO FUEL SEGMENTAL GROWTH
• 9.3 VOICE COMMAND
  • 9.3.1 RAPID ADVANCES IN NATURAL LANGUAGE PROCESSING TO ACCELERATE SEGMENTAL GROWTH
• 9.4 REAL-TIME TRANSCRIPTION
  • 9.4.1 RISE IN HYBRID WORK, VIRTUAL EVENTS, AND DIGITAL LEARNING ENVIRONMENTS TO BOLSTER SEGMENTAL GROWTH
• 9.5 VOICE BIOMETRICS
  • 9.5.1 GROWING CYBERSECURITY THREATS AND DEMAND FOR SEAMLESS AUTHENTICATION TO FOSTER SEGMENTAL GROWTH
• 9.6 CUSTOMER SERVICE
  • 9.6.1 MOUNTING DEMAND FOR TOUCH-FREE SOLUTIONS TO EXPEDITE SEGMENTAL GROWTH
• 9.7 SECURITY AUTHENTICATION
  • 9.7.1 INCREASING DEPENDENCE ON DIGITAL PLATFORMS TO AUGMENT SEGMENTAL GROWTH

10 SPEECH AND VOICE RECOGNITION MARKET, BY VERTICAL

• 10.1 INTRODUCTION
• 10.2 AUTOMOTIVE
  • 10.2.1 VEHICLE CONTROL
    • 10.2.1.1 Requirement for voice interfaces in connected vehicles to boost segmental growth
  • 10.2.2 VEHICLE INSURANCE
    • 10.2.2.1 Emphasis on automating and humanizing customer engagement to fuel segmental growth
• 10.3 COMMERCIAL
  • 10.3.1 CALL CENTER AUTHENTICATION
    • 10.3.1.1 Ability to support faster, frictionless verification to augment segmental growth
  • 10.3.2 IT SECURITY
    • 10.3.2.1 Use to strengthen identity management and reduce reliance on passwords or physical tokens to drive market
  • 10.3.3 TIME & ATTENDANCE SYSTEMS
    • 10.3.3.1 Focus on automating employee check-ins and limiting manual errors to bolster segmental growth
  • 10.3.4 ENTERPRISE ROBOTICS
    • 10.3.4.1 Ability to enhance productivity and reduce training requirements of workers to accelerate segmental growth
• 10.4 CONSUMER ELECTRONICS
  • 10.4.1 MOBILE DEVICE CONTROL
    • 10.4.1.1 Rapid digitalization and smartphone adoption to contribute to segmental growth
  • 10.4.2 WEARABLE DEVICE CONTROL
    • 10.4.2.1 Focus on automated control to enhance functionality and user engagement to boost segmental growth
• 10.5 BFSI
  • 10.5.1 FRAUD IDENTIFICATION
    • 10.5.1.1 Reliance on voice recognition systems to verify identity and flag suspicious behavior to foster segmental growth
  • 10.5.2 MOBILE BANKING
    • 10.5.2.1 Focus on enhancing security and simplifying user interactions to contribute to segmental growth
  • 10.5.3 UNSTAFFED BANK BRANCHES
    • 10.5.3.1 Adoption of speech and voice recognition systems to provide secure interactions to boost segmental growth
• 10.6 GOVERNMENT
  • 10.6.1 VERIFICATION
    • 10.6.1.1 Use of voice recognition technologies to identify persons of interest to bolster segmental growth
  • 10.6.2 IDENTIFICATION
    • 10.6.2.1 Ability to function remotely and quickly to drive adoption in time-sensitive and sensitive environments
• 10.7 RETAIL
  • 10.7.1 FRAUD INVESTIGATION
    • 10.7.1.1 Adoption of voice recognition systems to identify individuals involved in suspicious transactions to drive market
  • 10.7.2 POINT OF SALE TRANSACTION
    • 10.7.2.1 Integration of speech recognition to enable secure, hands-free transactions to accelerate segmental growth
  • 10.7.3 ROBOTIC KIOSK
    • 10.7.3.1 Strong focus on providing highly interactive, human-like experiences in retail and service environments to fuel segmental growth
• 10.8 HEALTHCARE
  • 10.8.1 PATIENT MEDICAL RECORD ACCESS
    • 10.8.1.1 Emphasis on improving workflow and reducing time spent on manual data entry to foster segmental growth
  • 10.8.2 SPECIAL-PURPOSE ROBOTS
    • 10.8.2.1 Use to enable natural interaction with patients and medical staff to expedite segmental growth
• 10.9 MILITARY
  • 10.9.1 ACCESS CONTROL SYSTEMS
    • 10.9.1.1 Ability to enhance security and streamline authentication to contribute to segmental growth
  • 10.9.2 BORDER MANAGEMENT SYSTEMS
    • 10.9.2.1 Need to strengthen identity verification and detect potential threats more efficiently to fuel segmental growth
• 10.10 LEGAL
  • 10.10.1 DOCUMENT TRANSCRIPTION
    • 10.10.1.1 Reliance on speech recognition to improve accuracy and accessibility of legal transcriptions to foster segmental growth
• 10.11 EDUCATION
  • 10.11.1 LANGUAGE LEARNING
    • 10.11.1.1 Deployment of speech recognition technologies to enable real-time pronunciation feedback and speech assessment to drive market
  • 10.11.2 EDUCATION FOR DISABLED & E-LEARNING
    • 10.11.2.1 Requirement for hands-free interaction and voice-controlled navigation to augment segmental growth
• 10.12 OTHER VERTICALS

11 SPEECH AND VOICE RECOGNITION MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 US
    • 11.2.1.1 Growing focus on increasing productivity and efficiency across enterprises to drive market
  • 11.2.2 CANADA
    • 11.2.2.1 High deployment of voice-activated biometrics in banking sector to augment market growth
  • 11.2.3 MEXICO
    • 11.2.3.1 Rising consumer preference for innovative technologies to bolster market growth
• 11.3 EUROPE
  • 11.3.1 UK
    • 11.3.1.1 Burgeoning demand for voice-enabled payment solutions to boost market growth
  • 11.3.2 GERMANY
    • 11.3.2.1 Increasing reliance on AI and cognitive technologies in enterprises to fuel market growth
  • 11.3.3 FRANCE
    • 11.3.3.1 Significant focus on improving air traffic control to contribute to market growth
  • 11.3.4 ITALY
    • 11.3.4.1 Mounting adoption of AI-driven solutions across industries to augment market growth
  • 11.3.5 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 JAPAN
    • 11.4.1.1 Rising integration of AI into innovative robotic devices to bolster market growth
  • 11.4.2 CHINA
    • 11.4.2.1 Mounting adoption of advanced technologies to accelerate market growth
  • 11.4.3 SOUTH KOREA
    • 11.4.3.1 Advanced digital infrastructure and strong commitment to AI development to foster market growth
  • 11.4.4 INDIA
    • 11.4.4.1 Large-scale technological development and increasing number of mobile and internet users to drive market
  • 11.4.5 REST OF ASIA PACIFIC
• 11.5 ROW
  • 11.5.1 MIDDLE EAST
    • 11.5.1.1 Mounting adoption of voice assistant devices to augment market growth
  • 11.5.2 AFRICA
    • 11.5.2.1 Increasing mobile penetration and need for inclusive digital solutions to drive market
  • 11.5.3 SOUTH AMERICA
    • 11.5.3.1 Rising internet penetration to contribute to market growth

12 COMPETITIVE LANDSCAPE

• 12.1 OVERVIEW
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
• 12.3 REVENUE ANALYSIS, 2020-2024
• 12.4 MARKET SHARE ANALYSIS, 2024
• 12.5 COMPANY EVALUATION MATRIX: KEY COMPANIES, 2024
  • 12.5.1 STARS
  • 12.5.2 EMERGING LEADERS
  • 12.5.3 PERVASIVE PLAYERS
  • 12.5.4 PARTICIPANTS
  • 12.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 12.5.5.1 Company footprint
    • 12.5.5.2 Region footprint
    • 12.5.5.3 Technology footprint
    • 12.5.5.4 Deployment mode footprint
    • 12.5.5.5 Application footprint
    • 12.5.5.6 Vertical footprint
• 12.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES 2024
  • 12.6.1 PROGRESSIVE COMPANIES
  • 12.6.2 RESPONSIVE COMPANIES
  • 12.6.3 DYNAMIC COMPANIES
  • 12.6.4 STARTING BLOCKS
  • 12.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 12.6.5.1 Detailed list of key startups/SMEs
    • 12.6.5.2 Competitive benchmarking of key startups/SMEs
• 12.7 COMPETITIVE SCENARIO
  • 12.7.1 PRODUCT LAUNCHES
  • 12.7.2 DEALS

13 COMPANY PROFILES

• 13.1 KEY PLAYERS
  • 13.1.1 MICROSOFT
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Product launches
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Key strengths/Right to win
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses/Competitive threats
  • 13.1.2 IBM
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Product launches
    • 13.1.2.4 MnM view
      • 13.1.2.4.1 Key strengths/Right to win
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses/Competitive threats
  • 13.1.3 ALPHABET
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Product launches
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Key strengths/Right to win
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses/Competitive threats
  • 13.1.4 AMAZON.COM, INC.
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Product launches
      • 13.1.4.3.2 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Key strengths/Right to win
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses/Competitive threats
  • 13.1.5 APPLE INC.
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 Recent developments
      • 13.1.5.3.1 Product launches
    • 13.1.5.4 MnM view
      • 13.1.5.4.1 Key strengths/Right to win
      • 13.1.5.4.2 Strategic choices
      • 13.1.5.4.3 Weaknesses/Competitive threats
  • 13.1.6 BAIDU INC.
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Product launches
      • 13.1.6.3.2 Deals
  • 13.1.7 IFLYTEK CORPORATION
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Product launches
  • 13.1.8 SESTEK
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
    • 13.1.8.3 Recent developments
      • 13.1.8.3.1 Product launches
  • 13.1.9 SPEAK2WEB
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
  • 13.1.10 VERINT SYSTEMS INC.
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Product launches
      • 13.1.10.3.2 Deals
  • 13.1.11 SPEECHMATICS
    • 13.1.11.1 Business overview
    • 13.1.11.2 Products/Solutions/Services offered
    • 13.1.11.3 Recent developments
      • 13.1.11.3.1 Product launches
      • 13.1.11.3.2 Deals
  • 13.1.12 DEEPGRAM
    • 13.1.12.1 Business overview
    • 13.1.12.2 Products/Solutions/Services offered
    • 13.1.12.3 Recent developments
      • 13.1.12.3.1 Product launches
  • 13.1.13 VOICEITT
    • 13.1.13.1 Business overview
    • 13.1.13.2 Products/Solutions/Services offered
  • 13.1.14 VOICEGAIN
    • 13.1.14.1 Business overview
    • 13.1.14.2 Products/Solutions/Services offered
    • 13.1.14.3 Recent developments
      • 13.1.14.3.1 Product launches
  • 13.1.15 SENSORY INC.
    • 13.1.15.1 Business overview
    • 13.1.15.2 Products/Solutions/Services offered
    • 13.1.15.3 Recent developments
      • 13.1.15.3.1 Product launches
  • 13.1.16 ASSEMBLYAI, INC.
    • 13.1.16.1 Business overview
    • 13.1.16.2 Products/Solutions/Services offered
    • 13.1.16.3 Recent developments
      • 13.1.16.3.1 Product launches
      • 13.1.16.3.2 Deals
  • 13.1.17 VERBIT.AI
    • 13.1.17.1 Business overview
    • 13.1.17.2 Products/Solutions/Services offered
    • 13.1.17.3 Recent developments
      • 13.1.17.3.1 Product launches
      • 13.1.17.3.2 Deals
  • 13.1.18 OTTER.AI INC
    • 13.1.18.1 Business overview
    • 13.1.18.2 Products/Solutions/Services offered
    • 13.1.18.3 Recent developments
      • 13.1.18.3.1 Product launches
  • 13.1.19 REV
    • 13.1.19.1 Business overview
    • 13.1.19.2 Products/Solutions/Services offered
• 13.2 OTHER PLAYERS
  • 13.2.1 RAYTHEON BBN TECHNOLOGIES
  • 13.2.2 M2SYS TECHNOLOGY
  • 13.2.3 SOLVENTUM
  • 13.2.4 VALIDSOFT
  • 13.2.5 LUMENVOX, LLC
  • 13.2.6 SPEECH PROCESSING SOLUTIONS GMBH
  • 13.2.7 UNIPHORE
  • 13.2.8 ISPEECH, INC.
  • 13.2.9 GOVIVACE INC
  • 13.2.10 CONVAI
  • 13.2.11 DOLBEY AND COMPANY, INC
  • 13.2.12 SOUNDHOUND AI INC.
  • 13.2.13 ELEVENLABS
  • 13.2.14 BELITSOFT
  • 13.2.15 VERBIO TECHNOLOGIES, S.L.

14 APPENDIX

• 14.1 INSIGHTS FROM INDUSTRY EXPERTS
• 14.2 DISCUSSION GUIDE
• 14.3 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.4 CUSTOMIZATION OPTIONS
• 14.5 RELATED REPORTS
• 14.6 AUTHOR DETAILS