Image Recognition Market

Report Code TC 2308
Published in Mar, 2024, By MarketsandMarkets™
Download PDF

Choose License Type

Buy Report Now Inquire Before Buying

Image Recognition Market by Offering (Hardware, Software, Service), Technology (QR/barcode, Digital Image Processing, Facial Recognition), Application (Scanning & Imaging, Security & Surveillance, Image Search, Augmented Reality) - Global Forecast to 2029

Overview

The global Image Recognition Market will grow from USD 46.7 billion in 2024 to USD 98.6 billion by 2029 at a compounded annual growth rate (CAGR) of 16.1% during the forecast period. The image recognition market is experiencing exponential growth and presenting abundant opportunities driven by advancements in artificial intelligence, machine learning, and computer vision technologies. Machine learning algorithms, particularly deep learning models, have played a significant role in this evolution, enabling image recognition systems to continually improve their performance through exposure to vast datasets. The advent of machine learning, particularly convolutional neural networks (CNNs), revolutionized image recognition by enabling systems to automatically learn hierarchical features from raw pixel data. This breakthrough introduced significant improvements in accuracy and robustness, allowing image recognition software to achieve human-level performance in various tasks such as object detection, image classification, and facial recognition. Moreover, the integration of cloud computing and edge computing technologies has enhanced the scalability and accessibility of image recognition solutions, allowing businesses to deploy them across a wide range of applications and devices.

Attractive Opportunities in the Image Recognition Market

Asia Pacific

Asia Pacific is projected to grow at the highest CAGR during the forecast period. North America is estimated to account for the largest market share in 2024.

The market’s growth can be attributed to the growing demand for image recognition services across the media and entertainment, education, healthcare, and manufacturing.

Acquisitions and new product launches incorporating regulations compliance management would offer lucrative opportunities for market players in the coming years.

Countries such as India and China will offer enormous opportunities for growth in the coming years due to technological advancements and the increasing demand for image recognition solutions.

The increasing need for vehicle safety has increased the implementation of image recognition. This is expected to drive the adoption of image recognition software in automotive industries.

Global Image Recognition Market Dynamics

DRIVER: Increasing need for image recognition in the automotive industry

The automotive industry has increased the implementation of image recognition technology. As vehicles move toward higher levels of automation and intelligence, image recognition systems become indispensable components of Advanced Driver Assistance Systems (ADAS) and autonomous driving solutions. These systems rely on image recognition solutions as this solution processes visual data captured by cameras installed in vehicles, detecting and responding to various road conditions, obstacles, and potential hazards in real-time. From pedestrian detection to lane departure warnings, image recognition enhances driver safety and overall vehicle performance. Moreover, as automotive manufacturers strive to deliver superior driving experiences and meet stringent safety standards, the demand for advanced image recognition solutions will surge in the coming years.

RESTRAINT: High installation cost

While the benefits of image recognition technology are compelling, the high upfront costs associated with its installation and implementation present a significant barrier to adoption for many businesses, particularly SMEs. Deploying comprehensive image recognition systems requires substantial investments in hardware infrastructure, including high-resolution cameras, sensors, and computing devices capable of processing large volumes of visual data in real-time. Additionally, integrating image recognition software and applications necessitates customization and integration with existing IT systems, further adding to the overall deployment costs. For SMEs with limited financial resources, the high installation costs of image recognition restrict market growth.

 

OPPORTUNITY: Integration of AI capabilities with image recognition solutions

Integrating artificial intelligence (AI) capabilities, including machine learning, deep learning, and neural networks, with image recognition solutions presents many opportunities for enhancing visual recognition systems' accuracy, efficiency, and versatility. AI-powered image recognition algorithms can analyze complex patterns, recognize objects in diverse environments, and adapt to changing conditions with unprecedented speed and accuracy; this enables businesses and organizations to leverage image recognition technology for various applications, including image classification, object detection, facial recognition, and scene understanding.

CHALLENGE: Training models to generalize well to real-world settings

One of the primary challenges in image recognition is training machine learning models to generalize effectively in real-world environments and adapt to diverse conditions, lighting conditions, and perspectives. While machine learning algorithms can achieve impressive accuracy when trained on specific datasets, they often struggle to perform reliably in dynamic and unpredictable settings. Real-world challenges such as occlusions, variations in scale and orientation, and environmental factors can significantly impact the performance of image recognition systems, leading to reduced accuracy and reliability in practical applications.Addressing this challenge requires the development of robust training datasets that accurately represent the complexities of real-world scenarios and the implementation of advanced algorithms and techniques for improving model generalization and robustness. By overcoming the limitations of current image recognition models, businesses and organizations can unlock new opportunities for innovation and drive the widespread adoption of visual recognition technologies across different industries and applications.

Global Image Recognition Market Ecosystem Analysis

The section highlights the market's key players: hardware, software, service providers, and end-users. The chapter describes the companies offering hardware, software, and services in the image recognition market and the latest company developments related to MarketsandMarkets' analysis of these vendors. It further highlights the unique differentiation points of each company and its expertise in the market. Image recognition hardware, software, and service providers play crucial roles in advancing the capabilities and accessibility of image recognition technology. Hardware providers design and manufacture specialized hardware components and accelerators optimized for image recognition tasks. These components may include GPUs, TPUs, FPGAs, NPUs, and custom AI chips. Software providers develop and optimize image recognition algorithms and models on hardware platforms. They leverage machine learning, deep learning, computer vision, and signal processing techniques to improve image recognition accuracy and efficiency. Services providers offer consulting, integration, and implementation services to help businesses and organizations deploy image recognition solutions effectively. They provide expertise in selecting hardware and software components, designing system architectures, and integrating image recognition technology into existing workflows.

 

Based on verticals, the BFSI vertical is expected to hold the largest market share during the forecast period.

Based on the verticals, the image recognition market is segmented into BFSI, healthcare, manufacturing, automotive, telecommunication, retail & eCommerce, media and entertainment, and other verticals. The BFSI vertical will hold the largest market share during the forecast period. In the BFSI domain, image recognition technology is utilized for various purposes, including identity verification, fraud detection, and customer service optimization. By employing advanced facial recognition algorithms, financial institutions can verify customers' identities remotely, reducing the need for in-person visits and enhancing the overall user experience. Additionally, image recognition aids in detecting fraudulent activities by analyzing patterns and anomalies in transactions, thereby safeguarding the integrity of financial systems.Moreover, image recognition is integrated into automated teller machines (ATMs) and mobile banking applications to facilitate check deposits and authentication processes; this expedites transactions, reduces manual errors, and improves operational efficiency. Overall, image recognition technology is a vital tool for bolstering security protocols and enhancing the efficiency of banking and financial services within the BFSI sector.

The SME segment will hold a higher CAGR growth rate based on the organization size during the forecast period.

The image recognition market is segmented into large enterprises and SMEs. As per the organization size, the SME segment will hold the highest CAGR during the forecast period. Small businesses utilize image recognition technology to track and manage inventory more effectively. They can monitor stock levels by analyzing images of stocked items, identify missing or misplaced items, and streamline replenishment processes. Image recognition systems can automatically track inventory levels by analyzing images of shelves, storage bins, or warehouse racks. Businesses can maintain accurate inventory records by identifying and counting items in real-time without manual intervention.Image recognition technology provides valuable insights into inventory trends and patterns by analyzing visual data over time. For instance, Focal Systems provides image recognition solutions for retail stores, helping SMEs optimize their operations and enhance the shopping experience. Their platform uses cameras and AI algorithms to track inventory, analyze shopper behavior, and provide real-time insights to store managers.

North America region holds the largest share of the Image Recognition Market.

Image recognition software adoption in North America has witnessed substantial growth, driven by technological advancements, diverse applications, and growing startup ecosystem. North America's image recognition startup ecosystem is supported by a robust network of investors, accelerators, and research institutions, fostering innovation, and driving growth in the industry. Startups such as DeepCam and Clarifai are developing facial recognition systems that enhance security measures in public spaces, airports, and law enforcement agencies, enabling rapid identification and threat detection. With increasing demand for AI-driven solutions and the proliferation of image data image recognition is expanding its applications in various verticals. For instance, in retail sector, image recognition is revolutionizing inventory management, with systems capable of automatically tracking stock levels and identifying out-of-stock items. This technology is exemplified by platforms like Trax and Scandit, which provide retailers with real-time insights into product availability and placement, thereby optimizing operations and enhancing customer satisfaction. Moreover, in the healthcare sector, image recognition software is facilitating rapid diagnosis and treatment planning through the analysis of medical images. Companies such as Aidoc and Zebra Medical Vision are developing AI-powered solutions that assist radiologists in detecting anomalies in X-rays, MRIs, and CT scans, thereby improving diagnostic accuracy and patient outcomes. Furthermore, the integration of image recognition into security systems is reshaping public safety efforts. Facial recognition technology, deployed by law enforcement agencies and airports, enables the rapid identification of individuals of interest, enhancing surveillance capabilities and bolstering security measures.

 
 

Recent Developments of Image Recognition Market industry

  • In October 2023, Klarna, the Swedish fintech company, introduced a cutting-edge image recognition tool powered by artificial intelligence (AI) to enhance its users' shopping experience. Known as "Shopping Lens," this tool utilizes AI to convert product images into search terms, guiding customers toward the most favorable deals on Klarna's app. This AI tool, Klarna, is directly competing with prominent players such as Google and Amazon, who have also introduced similar products like Google Lens and Amazon Rekognition in the past few years.
  • In November 2022, AWS launched healthcare imaging. Amazon HealthLake Imaging is a cloud-based service for storing, managing, and analyzing medical images. It allows healthcare providers to securely store various image types, including X-rays, MRIs, and CT scans. HealthLake Imaging will enable providers to access their images from anywhere and collaborate with colleagues more efficiently, improving efficiency and patient care.

Key Market Players

KEY PLAYERS IN THE Image Recognition Market INCLUDE

  • Google (US)
  • Qualcomm (US)
  • AWS (US)
  • Microsoft (US)
  • Toshiba (Japan)
  • NVIDIA (US)
  • Oracle (US)
  • NEC (Japan)
  • Huawei (China)
  • Hitachi (Japan)
  • Trax (Singapore)
  • Samsung (South Korea)
  • STMicroelectronics (Switzerland)
  • ON Semiconductor Corporation (US)
  • Snap2Insight (Portland)
  • Attrasoft (US)
  • Sterison (India)
  • ParallelDots (US)
  • Vue.ai (US)
  • Catchoom (Spain)
  • Wikitude (Austria)
  • Ximilar (Czech Republic)
  • Imagga Technologies (Bulgaria)
  • Blippar (UK)
  • Clarifai (US)
  • DeepSignals (US)

Want to explore hidden markets that can drive new revenue in Image Recognition Market?

Scope of the Report

Report Attribute Details
Market Size Available For Years 2019–2029
Base Year Considered 2023
Forecast Period 2024–2029
Forecast Units Value (USD Million/Billion)
Segments Covered Offering, Technology, Application Area, Organization Size, and Vertical
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies Covered Google (US), Qualcomm (US), AWS (US), Microsoft (US), Toshiba (Japan), NVIDIA (US), Oracle (US), NEC (Japan), Huawei (China), Hitachi (Japan), Trax (Singapore), Samsung (South Korea), STMicroelectronics (Switzerland), ON Semiconductor Corporation (US), Snap2Insight (Portland), Attrasoft (US), Sterison (India), Unicsoft (UK), ParallelDots (US), Vue.ai (US), Catchoom (Spain), Wikitude (Austria),  Ximilar (Czech Republic), Imagga Technologies (Bulgaria), Blippar (UK), Clarifai (US), LTU Technologies (France), and DeepSignals (US).

 

Key Questions Addressed by the Report

What is image recognition?
Image recognition, also known as image classification or computer vision, is a branch of artificial intelligence that involves identifying and classifying objects, people, places, or other relevant aspects within digital images or videos. This technology enables computers to interpret and understand the content of images, allowing them to recognize patterns, shapes, textures, and other visual features.
Which country was the early adopter of image recognition solutions?
The US was at the initial stage of adopting image recognition solutions.
Which are the key vendors exploring image recognition solutions?
Some of the significant vendors offering image recognition solutions across the globe include Google (US), Microsoft (US), AWS (US), Trax (Singapore), NEC Corporation (Japan), Qualcomm (US), Catchoom (Spain), Snap2Insight (US), ParallelDots (US), Clarifai (US), Blippar (UK), LTU Technologies (France), Wikitude (Austria), Huawei (China), Toshiba (Japan), NVIDIA (US), Oracle Corporation (US), Hitachi (Japan), Samsung (South Korea), Sony Corporation (Japan), STMicroelectronics (Switzerland).
What is the total CAGR recorded for the image recognition market from 2024 to 2029?
The image recognition market will record a CAGR of 16.1% from 2024 to 2029.
Who are vital clients adopting the image recognition software?
Key clients adopting the image recognition software include:
  • Government Agencies
  • Resellers and Distributors
  • Research Organizations
  • Corporates
  • Administrators
  • End Users

 

Adjacent Markets

Request Bundle Reports

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the Image Recognition Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
31
RESEARCH METHODOLOGY
37
EXECUTIVE SUMMARY
47
PREMIUM INSIGHTS
52
MARKET OVERVIEW AND INDUSTRY TRENDS
56
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing need for image recognition in automotive industry
    - Rising demand for security applications
    - Increasing use of high-bandwidth data services
    - Technological advancements among CPG and retail companies
    RESTRAINTS
    - High development cost of image recognition
    - Data privacy and regulatory concerns
    OPPORTUNITIES
    - Integration of AI capabilities with image recognition solutions
    - Increase in demand for big data analytics
    CHALLENGES
    - Training models to adapt to real-world settings
    - Limited dataset quality
  • 5.3 CASE STUDY ANALYSIS
    CASE STUDY 1: MICROSOFT'S VISION RECOGNITION SOLUTION REDUCES INJURIES FOR ATHLETES IN US
    CASE STUDY 2: AWD ENABLES AU BANK TO USE VIDEO BANKING SERVICES 7 DAYS A WEEK
    CASE STUDY 3: GOOGLE'S CLOUD VISION AUTOMATES IMAGE CLASSIFICATION AND LABELING FOR BOX
  • 5.4 SUPPLY CHAIN
  • 5.5 ECOSYSTEM
  • 5.6 TRADE ANALYSIS
  • 5.7 PORTER'S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITION RIVALRY
  • 5.8 PRICING ANALYSIS
    AVERAGE SELLING PRICE (ASP) TREND OF KEY PLAYERS, BY OFFERING
    INDICATIVE PRICING ANALYSIS, BY SOLUTION
  • 5.9 KEY TECHNOLOGIES
    CONVOLUTIONAL NEURAL NETWORKS (CNN)
    GENERATIVE ADVERSARIAL NETWORKS (GANS)
    AUTOML
  • 5.10 COMPLEMENTARY TECHNOLOGIES
    SENSORS
    RPA
    CLOUD COMPUTING
  • 5.11 ADJACENT TECHNOLOGIES
    AI & ML
    INTERNET OF THINGS
    NLP
    COMPUTER VISION
  • 5.12 PATENT ANALYSIS
  • 5.13 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.14 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS, BY REGION
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.15 KEY STAKEHOLDERS & BUYING CRITERIA
    CRITICAL STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.16 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.17 IMAGE RECOGNITION MARKET: BUSINESS MODEL ANALYSIS
    PRODUCT SALES MODEL
    SUBSCRIPTION-BASED MODEL
  • 5.18 INVESTMENT AND FUNDING SCENARIO
IMAGE RECOGNITION MARKET, BY OFFERING
86
  • 6.1 INTRODUCTION
    OFFERINGS: IMAGE RECOGNITION MARKET DRIVERS
  • 6.2 HARDWARE
    INCREASING ADOPTION FOR USE IN PRODUCT RECOGNITION TO DRIVE MARKET GROWTH
    SENSORS
    ACCELERATORS
    - GPU
    - FGPA
    - ASIC
  • 6.3 SOFTWARE
    GROWING ADOPTION OF REMOTE PATIENT MONITORING TO BOOST MARKET GROWTH
    - Custom software
    - Standalone software
  • 6.4 SERVICES
    INCREASING DEMAND FOR DATA-DRIVEN INSIGHTS IN ORGANIZATIONS TO FUEL SEGMENT
    PROFESSIONAL SERVICES
    MANAGED SERVICES
IMAGE RECOGNITION MARKET, BY TECHNOLOGY
97
  • 7.1 INTRODUCTION
    TECHNOLOGY: MARKET DRIVERS
  • 7.2 QR/BARCODE RECOGNITION
    INCREASING ADOPTION OF SMARTPHONES TO FUEL DEMAND
  • 7.3 DIGITAL IMAGE PROCESSING
    RISING ADVANCEMENTS IN COMPUTATIONAL CAPABILITIES TO BOOST DEMAND
  • 7.4 FACIAL RECOGNITION
    INCREASING INVESTMENTS BY GOVERNMENT AND DEFENSE SECTORS
  • 7.5 OBJECT RECOGNITION
    GROWING INTEGRATION OF AI IN OBJECTION RECOGNITION TO FUEL SEGMENT
  • 7.6 PATTERN RECOGNITION
    GROWING TREND OF FITNESS MONITORING TO DRIVE DEMAND
  • 7.7 OPTICAL CHARACTER RECOGNITION
    GROWING DIGITALIZATION IN BUSINESSES TO DRIVE DEMAND
  • 7.8 OTHER TECHNOLOGIES
    GROWING DIGITALIZATION IN HEALTHCARE SECTOR TO DRIVE DEMAND
IMAGE RECOGNITION MARKET, BY ORGANIZATION SIZE
108
  • 8.1 INTRODUCTION
    ORGANIZATION SIZE: MARKET DRIVERS
  • 8.2 LARGE ENTERPRISES
    GROWING NEED FOR TASK OPTIMIZATION BOOSTS DEMAND
  • 8.3 SMES
    FOCUS ON IMPROVING INVENTORY MANAGEMENT TO FUEL SEGMENT
IMAGE RECOGNITION MARKET, BY APPLICATION
113
  • 9.1 INTRODUCTION
    APPLICATIONS: MARKET DRIVERS
  • 9.2 SCANNING & IMAGING
    NEED TO AUTOMATE WORKFLOW MANAGEMENT IN BUSINESSES TO BOOST SEGMENT
  • 9.3 SECURITY & SURVEILLANCE
    TECHNOLOGICAL ADVANCEMENT IN SECURITY SOLUTIONS TO BOOST MARKET
  • 9.4 IMAGE SEARCH
    IMPLEMENTATION OF AI IN IMAGE SEARCH TO DRIVE SEGMENT
  • 9.5 AUGMENTED REALITY
    IMPLEMENTATION OF AI-ENABLED IMAGE RECOGNITION IN EDUCATION TO BOOST SEGMENT
  • 9.6 MARKETING & ADVERTISING
    ENHANCEMENT OF IN-STORE ENGAGEMENT AND PERSONALIZATION TO FUEL SEGMENT
  • 9.7 OTHER APPLICATIONS
    GROWING IMPLEMENTATION OF IMAGE RECOGNITION ACROSS VERTICALS
IMAGE RECOGNITION MARKET, BY VERTICAL
122
  • 10.1 INTRODUCTION
    VERTICAL: MARKET DRIVERS
  • 10.2 BFSI
    ABILITY TO REDUCE MANUAL ERRORS AND IMPROVE OPERATIONAL EFFICIENCY TO DRIVE GROWTH
    BFSI: APPLICATION AREAS
    - Risk management
    - Visual search
    - Fraud detection and prevention
  • 10.3 RETAIL & E-COMMERCE
    USE IN INVENTORY MANAGEMENT AND MERCHANDISING TO DRIVE GROWTH
    RETAIL & E-COMMERCE: APPLICATION AREAS
    - Product Recognition
    - Visual Search
    - Image-based Recommendations
  • 10.4 MEDIA & ENTERTAINMENT
    USED TO ENABLE CONTENT MODERATION AND COPYRIGHT ENFORCEMENT
    MEDIA & ENTERTAINMENT: APPLICATION AREAS
    - Visual Search and Discovery
    - Personalized Content Recommendations
  • 10.5 HEALTHCARE
    NEED TO AUTOMATE ADMINISTRATIVE TASKS AND DOCUMENTATION TO DRIVE SEGMENT
    HEALTHCARE: APPLICATION AREAS
    - Medical Imaging Analysis
    - Pathology Slide Analysis
    - Telemedicine and Remote Patient Monitoring
  • 10.6 GOVERNMENT
    USE IN INFORMATION EXTRACTION FROM IDENTITY DOCUMENTS TO DRIVE MARKET
    GOVERNMENT: APPLICATION AREAS
    - Surveillance and Security
    - Identity Verification and Document Processing
    - Urban Planning and Infrastructure Development
  • 10.7 TRANSPORT & LOGISTICS
    USE FOR ACCURATE TRACKING AND TRACING OF SHIPMENTS TO DRIVE GROWTH
    TRANSPORT & LOGISTICS: APPLICATION AREAS
    - Passenger Experience Enhancement
    - Cargo and Freight Logistics
  • 10.8 AUTOMOTIVE
    USE IN IDENTIFICATION OF POTENTIAL ON-ROAD HAZARDS TO DRIVE GROWTH
    AUTOMOTIVE: APPLICATION AREAS
    - Parking Assistance Systems
    - Advanced Driver Assistance Systems (ADAS)
    - Traffic Sign Recognition (TSR)
  • 10.9 IT & TELECOMMUNICATIONS
    USE IN OPTIMIZING NETWORK PERFORMANCE AND ENHANCING SERVICE QUALITY TO BOOST SEGMENT
    IT & TELECOMMUNICATIONS: APPLICATION AREAS
    - Internet Services
    - Enterprise IT Solutions
    - Unified Communication
  • 10.10 MANUFACTURING
    USE TO OPTIMIZE PRODUCTION AND SUPPLY CHAIN MANAGEMENT TO DRIVE MARKET
    MANUFACTURING: APPLICATION AREAS
    - Defect Detection and Quality Control
    - Equipment Monitoring and Predictive Maintenance
    - Barcode and QR Code Reading
  • 10.11 OTHER VERTICALS
IMAGE RECOGNITION MARKET, BY REGION
142
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    NORTH AMERICA: RECESSION IMPACT
    US
    - Growing adoption of advanced technologies across industries
    CANADA
    - Government support for technological innovation
  • 11.3 EUROPE
    EUROPE: IMAGE RECOGNITION MARKET DRIVERS
    EUROPE: RECESSION IMPACT
    UK
    - Growing support for AI adoption to fuel market
    GERMANY
    - Growth in manufacturing sector to boost market
    FRANCE
    - Growing adoption in retail sector
    ITALY
    - Growing adoption in manufacturing industry
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: IMAGE RECOGNITION MARKET DRIVERS
    ASIA PACIFIC: RECESSION IMPACT
    CHINA
    - Growing investments in AI across industries to drive market
    JAPAN
    - Well-developed technological and economic landscape to boost market
    INDIA
    - Rise in technological innovation to fuel market growth
    AUSTRALIA
    - Growing adoption of image recognition software across industries
    SOUTH KOREA
    - Presence of advanced infrastructure to boost market
    MALAYSIA
    - Growing government support for AI innovation to drive growth
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: IMAGE RECOGNITION MARKET DRIVERS
    MIDDLE EAST & AFRICA: RECESSION IMPACT
    GULF COOPERATION COUNCIL (GCC)
    - UAE
    - Saudi Arabia
    - Other GCC Countries
    SOUTH AFRICA
    - Need to control traffic and crime rate to drive market
    REST OF MIDDLE EAST & AFRICA
  • 11.6 LATIN AMERICA
    LATIN AMERICA: IMAGE RECOGNITION MARKET DRIVERS
    LATIN AMERICA: RECESSION IMPACT
    BRAZIL
    - Advancements in AI and digitalization to drive market growth
    MEXICO
    - Growing focus on digitalization and cloud computing
    ARGENTINA
    - Increasing adoption of image recognition technology across sectors
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
217
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 MARKET SHARE ANALYSIS
  • 12.4 BRAND/PRODUCT COMPARISON
  • 12.5 REVENUE ANALYSIS
  • 12.6 COMPANY EVALUATION MATRIX, KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Region footprint
    - Company offering footprint
    - Company vertical footprint
    - Company technology footprint
  • 12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Key startups/SMEs, 2023
    - Competitive benchmarking of Key startups/SMEs
  • 12.8 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.9 COMPETITIVE SCENARIO & TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
237
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    GOOGLE
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    QUALCOMM
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    TOSHIBA
    - Business overview
    - Products/Solutions/Services Offered
    - MnM view
    NVIDIA
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    NEC CORPORATION
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    HUAWEI
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
    HITACHI
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    - MnM view
  • 13.3 OTHER PLAYERS
    TRAX
    STMICROELECTRONICS
    ON SEMICONDUCTOR CORPORATION
    SNAP2INSIGHT
    ATTRASOFT
    STERISON
    UNICSOFT
    PARALLELDOTS
    VUE.AI
    CATCHOOM
    WIKITUDE
    XIMILAR
    IMAGGA TECHNOLOGIES
    BLIPPAR
    CLARIFAI
    LTU TECHNOLOGIES
    DEEPSIGNALS
ADJACENT/RELATED MARKETS
294
  • 14.1 INTRODUCTION
    RELATED MARKETS
    LIMITATIONS
  • 14.2 FACIAL RECOGNITION MARKET
  • 14.3 EMOTION DETECTION AND RECOGNITION MARKET
APPENDIX
299
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATES, 2018–2024
  • TABLE 2 KEY PRIMARY RESPONDENTS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 IMAGE RECOGNITION MARKET SIZE AND GROWTH, 2019–2023 (USD MILLION, Y-O-Y %)
  • TABLE 5 MARKET SIZE AND GROWTH, 2024–2029 (USD MILLION, Y-O-Y %)
  • TABLE 6 MARKET: ECOSYSTEM
  • TABLE 7 IMPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
  • TABLE 8 EXPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
  • TABLE 9 INDICATIVE PRICING ANALYSIS, BY SOLUTION
  • TABLE 10 TOP 10 PATENT APPLICANTS (US)
  • TABLE 11 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP END USERS (%)
  • TABLE 16 KEY BUYING CRITERIA FOR TOP END USERS
  • TABLE 17 MARKET: KEY CONFERENCES AND EVENTS IN 2024–2025
  • TABLE 18 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 19 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 20 HARDWARE: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 21 HARDWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 22 SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 23 SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 24 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 25 SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 26 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 27 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 28 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 MANAGED SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 31 MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 32 QR/BARCODE RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 33 QR/BARCODE RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 34 DIGITAL IMAGE PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 35 DIGITAL IMAGE PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 36 FACIAL RECOGNITION: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 37 FACIAL RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 38 OBJECT RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 39 OBJECT RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 40 PATTERN RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 41 PATTERN RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 42 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 43 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 44 OTHER TECHNOLOGIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 45 OTHER TECHNOLOGIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 46 MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 47 MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 48 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 49 LARGE ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 50 SMES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 51 SMES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 52 IMAGE RECOGNITION MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 53 MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 54 SCANNING & IMAGING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 55 SCANNING & IMAGING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 56 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 57 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 58 IMAGE SEARCH: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 59 IMAGE SEARCH: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 60 AUGMENTED REALITY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 61 AUGMENTED REALITY: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 62 MARKETING & ADVERTISING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 63 MARKETING & ADVERTISING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 64 OTHER APPLICATIONS: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 65 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 66 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 67 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 68 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 69 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 70 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 71 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 72 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 73 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 74 HEALTHCARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 75 HEALTHCARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 76 GOVERNMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 77 GOVERNMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 78 TRANSPORT & LOGISTICS: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 79 TRANSPORT & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 80 AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 81 AUTOMOTIVE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 82 IT & TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 83 IT & TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 84 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 85 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 86 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 87 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 88 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 89 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 90 NORTH AMERICA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 91 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 92 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 93 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 94 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 95 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 96 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 97 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 98 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 99 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 100 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 101 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 104 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 105 US: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 106 US: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 107 US: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 108 US: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 109 US: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 110 CANADA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 111 CANADA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 112 CANADA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 113 CANADA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 114 CANADA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 115 CANADA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 116 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 118 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 119 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 120 EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 121 EUROPE: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 122 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 123 EUROPE: IMAGE RECOGNITION MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 124 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 125 EUROPE: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 126 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 127 EUROPE: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 128 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 129 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 130 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 131 UK: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 132 UK: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 133 UK: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 134 UK: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 135 UK: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 136 GERMANY: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 137 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 138 GERMANY: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION
  • TABLE 139 GERMANY: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 140 GERMANY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 141 GERMANY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 142 FRANCE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 143 FRANCE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 144 FRANCE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 145 FRANCE: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 146 FRANCE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 147 FRANCE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 148 ITALY: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 149 ITALY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 150 ITALY: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 151 ITALY: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 152 ITALY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 153 ITALY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 154 REST OF EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 155 REST OF EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 156 REST OF EUROPE: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 157 REST OF EUROPE: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 158 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 159 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 169 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 170 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 171 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 172 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 173 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 174 CHINA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 175 CHINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 176 CHINA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 177 CHINA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 178 CHINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 179 CHINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 180 JAPAN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 181 JAPAN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 182 JAPAN: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 183 JAPAN: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 184 JAPAN: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 185 JAPAN: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 186 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 187 INDIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 188 INDIA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 189 INDIA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 190 INDIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 191 INDIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 192 AUSTRALIA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 193 AUSTRALIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 194 AUSTRALIA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 195 AUSTRALIA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 196 AUSTRALIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 197 AUSTRALIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 198 SOUTH KOREA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 199 SOUTH KOREA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 200 SOUTH KOREA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 201 SOUTH KOREA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 202 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 203 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 204 MALAYSIA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 205 MALAYSIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 206 MALAYSIA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 207 MALAYSIA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 208 MALAYSIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 209 MALAYSIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 210 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 211 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 212 REST OF ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 213 REST OF ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 214 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 215 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 224 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 225 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 226 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 227 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 228 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 229 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 230 GCC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 231 GCC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 232 GCC: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 233 GCC: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 234 GCC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 235 GCC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 236 SOUTH AFRICA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 237 SOUTH AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 238 SOUTH AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 239 SOUTH AFRICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 240 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 241 SOUTH AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 242 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 243 REST OF MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 244 REST OF MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 245 REST OF MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 246 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 247 REST OF MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 248 LATIN AMERICA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 249 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 250 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 251 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
  • TABLE 252 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION
  • TABLE 253 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 254 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 255 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 256 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 257 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
  • TABLE 258 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 259 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 260 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 261 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 262 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 263 BRAZIL: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 264 BRAZIL: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION
  • TABLE 265 BRAZIL: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 266 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 267 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 268 MEXICO: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 269 MEXICO: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 270 MEXICO: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 271 MEXICO: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 272 MEXICO: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 273 MEXICO: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 274 ARGENTINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 275 ARGENTINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 276 ARGENTINA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 277 ARGENTINA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 278 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 279 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 280 REST OF LATIN AMERICA: IMAGE RECOGNITION MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 281 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 282 REST OF LATIN AMERICA: MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
  • TABLE 283 REST OF LATIN AMERICA: MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
  • TABLE 284 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 285 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 286 OVERVIEW OF STRATEGIES BY KEY IMAGE RECOGNITION SOFTWARE VENDORS
  • TABLE 287 MARKET SHARE OF KEY VENDORS IN 2023
  • TABLE 288 MARKET: COMPANY REGION FOOTPRINT
  • TABLE 289 MARKET: COMPANY OFFERING FOOTPRINT
  • TABLE 290 MARKET: COMPANY VERTICAL FOOTPRINT
  • TABLE 291 MARKET: COMPANY TECHNOLOGY FOOTPRINT
  • TABLE 292 MARKET: KEY STARTUPS/SMES
  • TABLE 293 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 294 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–MARCH 2024
  • TABLE 295 IMAGE RECOGNITION MARKET: DEALS, JANUARY 2021–MARCH 2024
  • TABLE 296 GOOGLE: BUSINESS OVERVIEW
  • TABLE 297 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 298 GOOGLE: DEALS
  • TABLE 299 QUALCOMM: BUSINESS OVERVIEW
  • TABLE 300 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 301 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 302 QUALCOMM: DEALS
  • TABLE 303 AWS: BUSINESS OVERVIEW
  • TABLE 304 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 305 AWS: DEALS
  • TABLE 306 MICROSOFT: BUSINESS OVERVIEW
  • TABLE 307 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 308 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 309 MICROSOFT: DEALS
  • TABLE 310 TOSHIBA: BUSINESS OVERVIEW
  • TABLE 311 TOSHIBA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 312 NVIDIA: BUSINESS OVERVIEW
  • TABLE 313 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 314 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 315 NVIDIA: DEALS
  • TABLE 316 ORACLE: BUSINESS OVERVIEW
  • TABLE 317 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 318 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 319 ORACLE: DEALS
  • TABLE 320 NEC CORPORATION: BUSINESS OVERVIEW
  • TABLE 321 NEC CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 322 NEC CORPORATION: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 323 NEC CORPORATION: DEALS
  • TABLE 324 HUAWEI: BUSINESS OVERVIEW
  • TABLE 325 HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 326 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 327 HUAWEI: DEALS
  • TABLE 328 HITACHI: BUSINESS OVERVIEW
  • TABLE 329 HITACHI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 330 HITACHI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 331 HITACHI: DEALS
  • TABLE 332 SOFTWARE: FACIAL RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION)
  • TABLE 333 SOFTWARE: FACIAL RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 334 COMPONENT: FACIAL RECOGNITION MARKET, BY SOFTWARE TOOL, 2014–2019 (USD MILLION)
  • TABLE 335 COMPONENT: FACIAL RECOGNITION MARKET, BY SOFTWARE TOOL, 2019–2025 (USD MILLION)
  • TABLE 336 SOFTWARE TOOLS: FACIAL RECOGNITION MARKET, BY REGION, 2014–2019 (USD MILLION)
  • TABLE 337 SOFTWARE TOOLS: FACIAL RECOGNITION MARKET, BY REGION, 2019–2025 (USD MILLION)
  • TABLE 338 EMOTION DETECTION AND RECOGNITION MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
  • TABLE 339 EMOTION DETECTION AND RECOGNITION MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 340 SOFTWARE: EMOTION DETECTION AND RECOGNITION MARKET, BY REGION, 2016–2021 (USD MILLION)
  • TABLE 341 SOFTWARE: EMOTION DETECTION AND RECOGNITION MARKET, BY REGION, 2022–2027 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 IMAGE RECOGNITION MARKET: RESEARCH DESIGN
  • FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
  • FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY SIDE): VENDOR REVENUE FROM HARDWARE, SOFTWARE, AND SERVICES
  • FIGURE 5 APPROACH 2: BOTTOM-UP (DEMAND-SIDE): IMAGE RECOGNITION
  • FIGURE 6 MARKET TO WITNESS SIGNIFICANT GROWTH
  • FIGURE 7 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 8 FASTEST-GROWING SEGMENTS OF MARKET
  • FIGURE 9 IDENTIFICATION OF COMPLEX PATTERNS AND FEATURES WITHIN IMAGES FOR ENHANCED DECISION-MAKING PRESENT OPPORTUNITIES
  • FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 11 QR/BARCODE RECOGNITION TO DOMINATE IN 2024
  • FIGURE 12 SECURITY & SURVEILLANCE SEGMENT TO COMMAND LARGEST MARKET SHARE IN 2024
  • FIGURE 13 LARGE ENTERPRISES SEGMENT TO HOLD MAJOR MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 14 BFSI SEGMENT TO HOLD DOMINANT POSITION IN 2024
  • FIGURE 15 ASIA PACIFIC TO EMERGE AS MOST LUCRATIVE MARKET FOR INVESTMENT IN NEXT FIVE YEARS
  • FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: MARKET
  • FIGURE 17 MARKET: SUPPLY CHAIN
  • FIGURE 18 MARKET: ECOSYSTEM
  • FIGURE 19 IMPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
  • FIGURE 20 EXPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
  • FIGURE 21 MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 22 NUMBER OF PATENTS PUBLISHED, 2013–2023
  • FIGURE 23 TOP 5 PATENT OWNERS (GLOBAL)
  • FIGURE 24 IMAGE RECOGNITION MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
  • FIGURE 26 KEY BUYING CRITERIA FOR TOP END USERS
  • FIGURE 27 MARKET: BUSINESS MODELS
  • FIGURE 28 INVESTMENT AND FUNDING SCENARIO OF MAJOR IMAGE RECOGNITION COMPANIES
  • FIGURE 29 SOFTWARE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 30 MANAGED SERVICES EXPECTED TO GROW AT HIGHER RATE DURING FORECAST PERIOD
  • FIGURE 31 FACIAL RECOGNITION SEGMENT TO DOMINATE DURING FORECAST PERIOD
  • FIGURE 32 SMES SEGMENT TO GROW FASTER DURING FORECAST PERIOD
  • FIGURE 33 SECURITY & SURVEILLANCE SEGMENT TO DOMINATE DURING FORECAST PERIOD
  • FIGURE 34 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SIZE IN 2024 AND 2029
  • FIGURE 35 NORTH AMERICA TO HOLD LARGEST SHARE IN MARKET
  • FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 38 MARKET SHARE ANALYSIS
  • FIGURE 39 BRAND COMPARISON/VENDOR PRODUCT LANDSCAPE
  • FIGURE 40 HISTORICAL REVENUE ANALYSIS, 2019–2023 (USD MILLION)
  • FIGURE 41 COMPANY EVALUATION, KEY PLAYERS, 2023
  • FIGURE 42 COMPANY EVALUATION MATRIX, KEY PLAYERS, 2023
  • FIGURE 43 MARKET: COMPANY FOOTPRINT
  • FIGURE 44 IMAGE RECOGNITION MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 45 COMPANY VALUATION AND FINANCIAL METRICS
  • FIGURE 46 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 47 QUALCOMM: COMPANY SNAPSHOT
  • FIGURE 48 AWS: COMPANY SNAPSHOT
  • FIGURE 49 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 50 TOSHIBA: COMPANY SNAPSHOT
  • FIGURE 51 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 52 ORACLE: COMPANY SNAPSHOT
  • FIGURE 53 NEC CORPORATION: COMPANY SNAPSHOT
  • FIGURE 54 HUAWEI: COMPANY SNAPSHOT
  • FIGURE 55 HITACHI: COMPANY SNAPSHOT

 

The study involved four major activities in estimating the image recognition market. We performed extensive secondary research to collect information on the market, the competitive market, and the parent market. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were employed to estimate the complete market size. After that, we used the market breakup and data triangulation procedures to estimate the market size of the various segments in the image recognition market.

Secondary Research

This research study used extensive secondary sources, directories, and databases, such as D&B Hoovers, DiscoverOrg, Factiva, vendor data sheets, product demos, Cloud Computing Association (CCA), Vendor Surveys, Asia Cloud Computing Association, and The Software Alliance. We used these sources to identify and collect valuable information for this technical, market-oriented, and commercial image recognition market.

Primary Research

Primary sources were several industry experts from the core and related industries, preferred software providers, hardware manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the industry's value chain. In-depth interviews were conducted with primary respondents, including key industry participants, subject-matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information and assess the market's prospects.

We conducted primary interviews to gather insights, such as market statistics, the latest trends disrupting the market, new use cases implemented, data on revenue collected from products and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various technology trends, segmentation types, industry trends, and regions. Demand-side stakeholders, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and Chief Security Officers (CSOs); the installation teams of governments/end users using image recognition solutions & services; and digital initiatives project teams, were interviewed to understand the buyer's perspective on suppliers, products, service providers, and their current use of services, which would affect the overall image recognition market.

Image Recognition Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

We used top-down and bottom-up approaches to estimate and forecast the image recognition and other dependent submarkets. We deployed a bottom-up procedure to arrive at the overall market size using the revenues and offerings of key companies in the market. With data triangulation methods and validation through primary interviews, this study determined and confirmed the exact value of the overall parent market size. We used the overall market size in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segments.

We used top-down and bottom-up approaches to estimate and validate the image recognition market and other dependent subsegments.

The research methodology used to estimate the market size included the following details:

  • We identified key players in the market through secondary research. We then determined their revenue contributions in the respective countries through primary and secondary research.
  • This procedure included studying top market players' annual and financial reports and extensive interviews for key insights from industry leaders, such as Chief Executive Officers (CEOs), VPs, directors, and marketing executives.
  • All percentage splits and breakups were determined using secondary sources and verified through primary sources.

All the possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

Image Recognition Market: Top-down and Bottom-up approaches

Image Recognition Market Top Down Bottom Up Approach

To know about the assumptions considered for the study, Request for Free Sample Report

Data Triangulation

After arriving at the overall market size, the market was split into several segments and subsegments—using the market size estimation processes as explained above. Where applicable, data triangulation and market breakup procedures were employed to complete the overall market engineering process and determine each market segment's and subsegment's exact statistics. The data was triangulated by studying several factors and trends from the image recognition market's demand and supply sides.

Market Definition

Image recognition, or computer vision or visual recognition, is a branch of artificial intelligence (AI) and computer science that focuses on identifying, analyzing, and understanding images or visual data. Image recognition automatically identifies objects, patterns, or features within digital photos or videos. It involves using algorithms and computational methods to analyze and interpret visual data, enabling machines to understand the content of pictures like human perception. These systems use machine learning and deep learning techniques to train models on large datasets of labeled images, allowing them to recognize and classify objects, scenes, faces, text, gestures, and other visual elements within images or videos.

Key Stakeholders

  • Image recognition vendors
  • Consulting firms
  • Third-party vendors
  • Mobile application developers
  • Cloud platform providers
  • End users
  • Investors and venture capitalists
  • Technology providers
  • Trade Associations and Industry Coalitions:
  • Suppliers, distributors, and contractors

Report Objectives

  • To define, describe, and forecast the image recognition market based on offerings, technologies, application areas, organization sizes, verticals, and regions
  • To forecast the market size of the five major regional segments: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To strategically analyze the market subsegments concerning individual growth trends, prospects, and contributions to the total market
  • To provide detailed information related to the significant factors influencing the growth of the market (drivers, restraints, opportunities, and challenges)
  • To strategically analyze the macro and micromarkets1 concerning growth trends, prospects, and their contributions to the overall market
  • To analyze the industry trends, patents and innovations, and pricing data related to the image recognition market.
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for major players.
  • To profile the key players in the market and comprehensively analyze their market share/ranking and core competencies across segments and subsegments.
  • To track and analyze the competitive developments, such as mergers and acquisitions, product developments, and partnerships and collaborations in the market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations per the company's specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of each company's portfolio.

Geographic Analysis

  • Further breakup of the Asia Pacific market into countries contributing 75% to the regional market size
  • Further breakup of the North American market into countries contributing 75% to the regional market size
  • Further breakup of the Latin American market into countries contributing 75% to the regional market size
  • Further breakup of the Middle Eastern & African market into countries contributing 75% to the regional market size
  • Further breakup of the European market into countries contributing 75% to the regional market size

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

Previous Versions of this Report

Image Recognition Market by Technology (Digital Image Processing, Facial Recognition, Pattern Recognition), Component (Hardware, Software, and Services), Deployment Mode (On-premises & Cloud), Application, Vertical, and Region - Global Forecast to 2025

Report Code TC 2308
Published in Jan, 2021, By MarketsandMarkets™

Image Recognition Market by Technology (Digital Image Processing), Component (Hardware, Software, Service), Application (Augmented Reality), Deployment Type (On-Premises, Cloud), Industry Vertical, and Region - Global Forecast to 2021

Report Code TC 2308
Published in Feb, 2017, By MarketsandMarkets™

Image Recognition Market by Technology (Pattern Recognition), by Component (Hardware, Software, Service), by Application (Marketing and Advertising), by Deployment Type (On-Premises and Cloud), by Industry Vertical and by Region - Global Forecast To 2022

Report Code TC 2308
Published in Mar, 2016, By MarketsandMarkets™

Image Recognition Market [Method (OCR, Object, Pattern Matching, Barcode/ QR, Facial), Application (Security & Surveillance, Quality Control & Inventory Management, Advertising, Scanning & Imaging, m-Commerce)] - Worldwide Market Forecast (2014-2019)

Report Code TC 2308
Published in Mar, 2014, By MarketsandMarkets™
"Our USP is "providing game-changing business opportunities reports with free customization" - so please feel free to provide us with your specific areas of interest / business challenges in much greater detail !!"

We appreciate your interest in this report. Once you fill out the form, you'll be immediately directed to an exclusive solution tailored to your needs. This high-value offering can help boost your revenue by 30% - a must-see opportunity for anyone looking to maximize growth.

By clicking the "Submit" button, you are agreeing to the Terms of Use and Privacy Policy.

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

Growth opportunities and latent adjacency in Image Recognition Market

+1-888600-6441

Corporate Office Hours

+1-888600-6441

US/Can Toll Free

+44-800-368-9399

UK Office Hours

©2024 Marketsandmarkets Research Private Ltd. All Rights Reserved.

DMCA.com Protection Status