Image Recognition Market

Image Recognition Market by Offering (Hardware, Software, Services), Technology (QR/barcode, Digital Image Processing, Facial Recognition ), Application Area ,Organization Size, Vertical and Region - Global Forecast to 2029

Report Code: TC 2308 Mar, 2024, by marketsandmarkets.com

[305 Pages Report] 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.

Image Recognition Market

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Image Recognition Market Opportunities

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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.

Image Recognition
Market Ecosystem

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.

Top Companies in Image Recognition Market

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.

Based on Region, North America to hold largest market size in 2024.

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.

North American image recognition market Size, and Share

Key Market Players

The image recognition market is dominated by a few globally established players such as 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), and DeepSignals (US), among others, are the key vendors that secured image recognition contracts in last few years. Local participants only have local experience, while these vendors can add global processes and execution expertise. Customers are likelier to try new things in the image recognition market because of their higher discretionary budgets, ease of access to information, and quick adoption of technical items.

Scope of Report

Report Metrics

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).

This research report categorizes the image recognition market to forecast revenue and analyze trends in each of the following submarkets:

By Offering:
  • Hardware
  • Software
  • Services
  • Professional Services
  • Managed Services
By Technology:
  • QR/Barcode
  • Digital Image Processing
  • Facial Recognition
  • Object Recognition
  • Pattern Recognition
  • Optical Character Recognition
  • Other Technologies
By Application Area:
  • Scanning & Imaging
  • Security & Surveillance
  • Image Search
  • Augmented Reality
  • Marketing & Advertising
  • Other Application Areas
By Organization Size:
  • Large Enterprises
  • SMEs
By Vertical:
  • BFSI
  • Retail & eCommerce
  • Media & Entertainment
  • Healthcare
  • Government
  • Transportation & Logistics
  • Automotive
  • Telecommunication
  • Manufacturing
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America     

Recent Developments:

  • 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.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 30)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS AND EXCLUSIONS
    1.3 MARKET SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2018–2024
    1.6 STAKEHOLDERS 
    1.7 SUMMARY OF CHANGES 
           1.7.1 RECESSION IMPACT
 
2 RESEARCH METHODOLOGY (Page No. - 36)
    2.1 RESEARCH DATA 
           FIGURE 1 MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakup of Primary Profiles
                               FIGURE 2 BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY TYPE, DESIGNATION, AND REGION
                               TABLE 2 KEY PRIMARY RESPONDENTS
                    2.1.2.2 Key Industry Insights
    2.2 DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           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
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
 
3 EXECUTIVE SUMMARY (Page No. - 46)
    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 %) 
    FIGURE 6 MARKET TO WITNESS SIGNIFICANT GROWTH 
    3.1 OVERVIEW OF RECESSION IMPACT 
           FIGURE 7 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
           FIGURE 8 FASTEST-GROWING SEGMENTS OF MARKET
 
4 PREMIUM INSIGHTS (Page No. - 51)
    4.1 OVERVIEW OF IMAGE RECOGNITION MARKET 
           FIGURE 9 IDENTIFICATION OF COMPLEX PATTERNS AND FEATURES WITHIN IMAGES FOR ENHANCED DECISION-MAKING PRESENT OPPORTUNITIES
    4.2 MARKET, BY OFFERING, 2024 VS. 2029 
           FIGURE 10 SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
    4.3 MARKET, BY TECHNOLOGY, 2024 VS. 2029 
           FIGURE 11 QR/BARCODE RECOGNITION TO DOMINATE IN 2024
    4.4 MARKET, BY APPLICATION, 2024 VS. 2029 
           FIGURE 12 SECURITY & SURVEILLANCE SEGMENT TO COMMAND LARGEST MARKET SHARE IN 2024
    4.5 MARKET, BY ORGANIZATION SIZE, 2024 VS. 2029 
           FIGURE 13 LARGE ENTERPRISES SEGMENT TO HOLD MAJOR MARKET SHARE DURING FORECAST PERIOD
    4.6 MARKET, BY VERTICAL, 2024 VS. 2029 
           FIGURE 14 BFSI SEGMENT TO HOLD DOMINANT POSITION IN 2024
    4.7 MARKET: REGIONAL SCENARIO, 2024–2029 
           FIGURE 15 ASIA PACIFIC TO EMERGE AS MOST LUCRATIVE MARKET FOR INVESTMENT IN NEXT FIVE YEARS
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 55)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 16 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: IMAGE RECOGNITION MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Increasing need for image recognition in automotive industry
                    5.2.1.2 Rising demand for security applications
                    5.2.1.3 Increasing use of high-bandwidth data services
                    5.2.1.4 Technological advancements among CPG and retail companies
           5.2.2 RESTRAINTS
                    5.2.2.1 High development cost of image recognition
                    5.2.2.2 Data privacy and regulatory concerns
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Integration of AI capabilities with image recognition solutions
                    5.2.3.2 Increase in demand for big data analytics
           5.2.4 CHALLENGES
                    5.2.4.1 Training models to adapt to real-world settings
                    5.2.4.2 Limited dataset quality
    5.3 CASE STUDY ANALYSIS 
           5.3.1 CASE STUDY 1: MICROSOFT'S VISION RECOGNITION SOLUTION REDUCES INJURIES FOR ATHLETES IN US
           5.3.2 CASE STUDY 2: AWD ENABLES AU BANK TO USE VIDEO BANKING SERVICES 7 DAYS A WEEK
           5.3.3 CASE STUDY 3: GOOGLE'S CLOUD VISION AUTOMATES IMAGE CLASSIFICATION AND LABELING FOR BOX
    5.4 SUPPLY CHAIN 
           FIGURE 17 IMAGE RECOGNITION MARKET: SUPPLY CHAIN
    5.5 ECOSYSTEM 
           FIGURE 18 MARKET: ECOSYSTEM
           TABLE 6 MARKET: ECOSYSTEM
    5.6 TRADE ANALYSIS 
           TABLE 7 IMPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
           FIGURE 19 IMPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
           TABLE 8 EXPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
           FIGURE 20 EXPORT DATA (HS CODE 8443), BY COUNTRY, 2018–2022 (USD MILLION)
    5.7 PORTER'S FIVE FORCES ANALYSIS 
           FIGURE 21 IMAGE RECOGNITION MARKET: PORTER'S FIVE FORCES ANALYSIS
           5.7.1 THREAT OF NEW ENTRANTS
           5.7.2 THREAT OF SUBSTITUTES
           5.7.3 BARGAINING POWER OF SUPPLIERS
           5.7.4 BARGAINING POWER OF BUYERS
           5.7.5 INTENSITY OF COMPETITION RIVALRY
    5.8 PRICING ANALYSIS 
           5.8.1 AVERAGE SELLING PRICE (ASP) TREND OF KEY PLAYERS, BY OFFERING
           5.8.2 INDICATIVE PRICING ANALYSIS, BY SOLUTION
                    TABLE 9 INDICATIVE PRICING ANALYSIS, BY SOLUTION
    5.9 KEY TECHNOLOGIES 
           5.9.1 CONVOLUTIONAL NEURAL NETWORKS (CNN)
           5.9.2 GENERATIVE ADVERSARIAL NETWORKS (GANS)
           5.9.3 AUTOML
    5.10 COMPLEMENTARY TECHNOLOGIES 
           5.10.1 SENSORS
           5.10.2 RPA
           5.10.3 CLOUD COMPUTING
    5.11 ADJACENT TECHNOLOGIES 
           5.11.1 AI & ML
           5.11.2 INTERNET OF THINGS
           5.11.3 NLP
           5.11.4 COMPUTER VISION
    5.12 PATENT ANALYSIS 
                    FIGURE 22 NUMBER OF PATENTS PUBLISHED, 2013–2023
                    FIGURE 23 TOP 5 PATENT OWNERS (GLOBAL)
                    TABLE 10 TOP 10 PATENT APPLICANTS (US)
    5.13 TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
                    FIGURE 24 IMAGE RECOGNITION MARKET: TRENDS AND DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    5.14 REGULATORY LANDSCAPE 
           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    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
           5.14.2 REGULATIONS, BY REGION
                    5.14.2.1 North America
                    5.14.2.2 Europe
                    5.14.2.3 Asia Pacific
                    5.14.2.4 Middle East & Africa
                    5.14.2.5 Latin America
    5.15 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.15.1 CRITICAL STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR END USERS
                    TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP END USERS (%)
           5.15.2 BUYING CRITERIA
                    FIGURE 26 KEY BUYING CRITERIA FOR TOP END USERS
                    TABLE 16 KEY BUYING CRITERIA FOR TOP END USERS
    5.16 KEY CONFERENCES AND EVENTS, 2024–2025 
                    TABLE 17 IMAGE RECOGNITION MARKET: KEY CONFERENCES AND EVENTS IN 2024–2025
    5.17 MARKET: BUSINESS MODEL ANALYSIS 
                    FIGURE 27 MARKET: BUSINESS MODELS
           5.17.1 PRODUCT SALES MODEL
           5.17.2 SUBSCRIPTION-BASED MODEL
    5.18 INVESTMENT AND FUNDING SCENARIO 
                    FIGURE 28 INVESTMENT AND FUNDING SCENARIO OF MAJOR IMAGE RECOGNITION COMPANIES
 
6 IMAGE RECOGNITION MARKET, BY OFFERING (Page No. - 85)
    6.1 INTRODUCTION 
           6.1.1 OFFERINGS: MARKET DRIVERS
                    FIGURE 29 SOFTWARE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 18 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                    TABLE 19 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
    6.2 HARDWARE 
           6.2.1 INCREASING ADOPTION FOR USE IN PRODUCT RECOGNITION TO DRIVE MARKET GROWTH
                    TABLE 20 HARDWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 21 HARDWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
           6.2.2 SENSORS
           6.2.3 ACCELERATORS
                    6.2.3.1 GPU
                    6.2.3.2 FGPA
                    6.2.3.3 ASIC
    6.3 SOFTWARE 
           6.3.1 GROWING ADOPTION OF REMOTE PATIENT MONITORING TO BOOST MARKET GROWTH
                    TABLE 22 SOFTWARE: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 23 SOFTWARE:MARKET, BY REGION, 2024–2029 (USD MILLION)
                    6.3.1.1 Custom software
                    6.3.1.2 Standalone software
    6.4 SERVICES 
           6.4.1 INCREASING DEMAND FOR DATA-DRIVEN INSIGHTS IN ORGANIZATIONS TO FUEL SEGMENT
                    FIGURE 30 MANAGED SERVICES EXPECTED TO GROW AT HIGHER RATE DURING FORECAST PERIOD
                    TABLE 24 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 25 SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
           6.4.2 PROFESSIONAL SERVICES
                    TABLE 26 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 27 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
           6.4.3 MANAGED SERVICES
                    TABLE 28 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 29 MANAGED SERVICES:MARKET, BY REGION, 2024–2029 (USD MILLION)
 
7 IMAGE RECOGNITION MARKET, BY TECHNOLOGY (Page No. - 96)
    7.1 INTRODUCTION 
           FIGURE 31 FACIAL RECOGNITION SEGMENT TO DOMINATE DURING FORECAST PERIOD
           7.1.1 TECHNOLOGY: MARKET DRIVERS
                    TABLE 30 MARKET, BY TECHNOLOGY, 2019–2023 (USD MILLION)
                    TABLE 31 MARKET, BY TECHNOLOGY, 2024–2029 (USD MILLION)
    7.2 QR/BARCODE RECOGNITION 
           7.2.1 INCREASING ADOPTION OF SMARTPHONES TO FUEL DEMAND
                    TABLE 32 QR/BARCODE RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 33 QR/BARCODE RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.3 DIGITAL IMAGE PROCESSING 
           7.3.1 RISING ADVANCEMENTS IN COMPUTATIONAL CAPABILITIES TO BOOST DEMAND
                    TABLE 34 DIGITAL IMAGE PROCESSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 35 DIGITAL IMAGE PROCESSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.4 FACIAL RECOGNITION 
           7.4.1 INCREASING INVESTMENTS BY GOVERNMENT AND DEFENSE SECTORS
                    TABLE 36 FACIAL RECOGNITION: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 37 FACIAL RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.5 OBJECT RECOGNITION 
           7.5.1 GROWING INTEGRATION OF AI IN OBJECTION RECOGNITION TO FUEL SEGMENT
                    TABLE 38 OBJECT RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 39 OBJECT RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.6 PATTERN RECOGNITION 
           7.6.1 GROWING TREND OF FITNESS MONITORING TO DRIVE DEMAND
                    TABLE 40 PATTERN RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 41 PATTERN RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.7 OPTICAL CHARACTER RECOGNITION 
           7.7.1 GROWING DIGITALIZATION IN BUSINESSES TO DRIVE DEMAND
                    TABLE 42 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 43 OPTICAL CHARACTER RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
    7.8 OTHER TECHNOLOGIES 
           7.8.1 GROWING DIGITALIZATION IN HEALTHCARE SECTOR TO DRIVE DEMAND
                    TABLE 44 OTHER TECHNOLOGIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 45 OTHER TECHNOLOGIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
 
8 IMAGE RECOGNITION MARKET, BY ORGANIZATION SIZE (Page No. - 107)
    8.1 INTRODUCTION 
           FIGURE 32 SMES SEGMENT TO GROW FASTER DURING FORECAST PERIOD
           8.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                    TABLE 46 MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
                    TABLE 47 MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
    8.2 LARGE ENTERPRISES 
           8.2.1 GROWING NEED FOR TASK OPTIMIZATION BOOSTS DEMAND
                    TABLE 48 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 49 LARGE ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
    8.3 SMES 
           8.3.1 FOCUS ON IMPROVING INVENTORY MANAGEMENT TO FUEL SEGMENT
                    TABLE 50 SMES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 51 SMES: MARKET, BY REGION, 2024–2029 (USD MILLION)
 
9 IMAGE RECOGNITION MARKET, BY APPLICATION (Page No. - 112)
    9.1 INTRODUCTION 
           FIGURE 33 SECURITY & SURVEILLANCE SEGMENT TO DOMINATE DURING FORECAST PERIOD
           9.1.1 APPLICATIONS: MARKET DRIVERS
                    TABLE 52 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 53 MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
    9.2 SCANNING & IMAGING 
           9.2.1 NEED TO AUTOMATE WORKFLOW MANAGEMENT IN BUSINESSES TO BOOST SEGMENT
                    TABLE 54 SCANNING & IMAGING: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 55 SCANNING & IMAGING: MARKET, BY REGION, 2024–2029 (USD MILLION)
    9.3 SECURITY & SURVEILLANCE 
           9.3.1 TECHNOLOGICAL ADVANCEMENT IN SECURITY SOLUTIONS TO BOOST MARKET
                    TABLE 56 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 57 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
    9.4 IMAGE SEARCH 
           9.4.1 IMPLEMENTATION OF AI IN IMAGE SEARCH TO DRIVE SEGMENT
                    TABLE 58 IMAGE SEARCH: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 59 IMAGE SEARCH: MARKET, BY REGION, 2024–2029 (USD MILLION)
    9.5 AUGMENTED REALITY 
           9.5.1 IMPLEMENTATION OF AI-ENABLED IMAGE RECOGNITION IN EDUCATION TO BOOST SEGMENT
                    TABLE 60 AUGMENTED REALITY: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 61 AUGMENTED REALITY: MARKET, BY REGION, 2024–2029 (USD MILLION)
    9.6 MARKETING & ADVERTISING 
           9.6.1 ENHANCEMENT OF IN-STORE ENGAGEMENT AND PERSONALIZATION TO FUEL SEGMENT
                    TABLE 62 MARKETING & ADVERTISING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 63 MARKETING & ADVERTISING: MARKET, BY REGION, 2024–2029 (USD MILLION)
    9.7 OTHER APPLICATIONS 
           9.7.1 GROWING IMPLEMENTATION OF IMAGE RECOGNITION ACROSS VERTICALS
                    TABLE 64 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 65 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
 
10 IMAGE RECOGNITION MARKET, BY VERTICAL (Page No. - 121)
     10.1 INTRODUCTION 
               FIGURE 34 BFSI VERTICAL TO ACCOUNT FOR LARGEST MARKET SIZE IN 2024 AND 2029
             10.1.1 VERTICAL: MARKET DRIVERS
                       TABLE 66 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 67 MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
     10.2 BFSI 
             10.2.1 ABILITY TO REDUCE MANUAL ERRORS AND IMPROVE OPERATIONAL EFFICIENCY TO DRIVE GROWTH
                       TABLE 68 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 69 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.2.2 BFSI: APPLICATION AREAS
                       10.2.2.1 Risk management
                       10.2.2.2 Visual search
                       10.2.2.3 Fraud detection and prevention
     10.3 RETAIL & E-COMMERCE 
             10.3.1 USE IN INVENTORY MANAGEMENT AND MERCHANDISING TO DRIVE GROWTH
                       TABLE 70 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 71 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.3.2 RETAIL & E-COMMERCE: APPLICATION AREAS
                       10.3.2.1 Product Recognition
                       10.3.2.2 Visual Search
                       10.3.2.3 Image-based Recommendations
     10.4 MEDIA & ENTERTAINMENT 
             10.4.1 USED TO ENABLE CONTENT MODERATION AND COPYRIGHT ENFORCEMENT
                       TABLE 72 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 73 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.4.2 MEDIA & ENTERTAINMENT: APPLICATION AREAS
                       10.4.2.1 Visual Search and Discovery
                       10.4.2.2 Personalized Content Recommendations
     10.5 HEALTHCARE 
             10.5.1 NEED TO AUTOMATE ADMINISTRATIVE TASKS AND DOCUMENTATION TO DRIVE SEGMENT
                       TABLE 74 HEALTHCARE: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 75 HEALTHCARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.5.2 HEALTHCARE: APPLICATION AREAS
                       10.5.2.1 Medical Imaging Analysis
                       10.5.2.2 Pathology Slide Analysis
                       10.5.2.3 Telemedicine and Remote Patient Monitoring
     10.6 GOVERNMENT 
             10.6.1 USE IN INFORMATION EXTRACTION FROM IDENTITY DOCUMENTS TO DRIVE MARKET
                       TABLE 76 GOVERNMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 77 GOVERNMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.6.2 GOVERNMENT: APPLICATION AREAS
                       10.6.2.1 Surveillance and Security
                       10.6.2.2 Identity Verification and Document Processing
                       10.6.2.3 Urban Planning and Infrastructure Development
     10.7 TRANSPORT & LOGISTICS 
             10.7.1 USE FOR ACCURATE TRACKING AND TRACING OF SHIPMENTS TO DRIVE GROWTH
                       TABLE 78 TRANSPORT & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 79 TRANSPORT & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.7.2 TRANSPORT & LOGISTICS: APPLICATION AREAS
                       10.7.2.1 Passenger Experience Enhancement
                       10.7.2.2 Cargo and Freight Logistics
     10.8 AUTOMOTIVE 
             10.8.1 USE IN IDENTIFICATION OF POTENTIAL ON-ROAD HAZARDS TO DRIVE GROWTH
                       TABLE 80 AUTOMOTIVE: IMAGE RECOGNITION MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 81 AUTOMOTIVE: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.8.2 AUTOMOTIVE: APPLICATION AREAS
                       10.8.2.1 Parking Assistance Systems
                       10.8.2.2 Advanced Driver Assistance Systems (ADAS)
                       10.8.2.3 Traffic Sign Recognition (TSR)
     10.9 IT & TELECOMMUNICATIONS 
             10.9.1 USE IN OPTIMIZING NETWORK PERFORMANCE AND ENHANCING SERVICE QUALITY TO BOOST SEGMENT
                       TABLE 82 IT & TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 83 IT & TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
             10.9.2 IT & TELECOMMUNICATIONS: APPLICATION AREAS
                       10.9.2.1 Internet Services
                       10.9.2.2 Enterprise IT Solutions
                       10.9.2.3 Unified Communication
     10.10 MANUFACTURING 
               10.10.1 USE TO OPTIMIZE PRODUCTION AND SUPPLY CHAIN MANAGEMENT TO DRIVE MARKET
                                   TABLE 84 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                                   TABLE 85 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
               10.10.2 MANUFACTURING: APPLICATION AREAS
            10.10.2.1 Defect Detection and Quality Control
            10.10.2.2 Equipment Monitoring and Predictive Maintenance
            10.10.2.3 Barcode and QR Code Reading
     10.11 OTHER VERTICALS 
                       TABLE 86 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                       TABLE 87 OTHER VERTICALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
 
11IMAGE RECOGNITION MARKET, BY REGION (Page No. - 141)
     11.1 INTRODUCTION 
               FIGURE 35 NORTH AMERICA TO HOLD LARGEST SHARE IN MARKET
               TABLE 88 MARKET, BY REGION, 2019–2023 (USD MILLION)
               TABLE 89 MARKET, BY REGION, 2024–2029 (USD MILLION)
     11.2 NORTH AMERICA 
             11.2.1 NORTH AMERICA: MARKET DRIVERS
             11.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 36 NORTH AMERICA: MARKET SNAPSHOT
                       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)
             11.2.3 US
                       11.2.3.1 Growing adoption of advanced technologies across industries
                                   TABLE 104 US: IMAGE RECOGNITION 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)
             11.2.4 CANADA
                       11.2.4.1 Government support for technological innovation
                                   TABLE 110 CANADA: 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)
     11.3 EUROPE 
             11.3.1 EUROPE: MARKET DRIVERS
             11.3.2 EUROPE: RECESSION IMPACT
                       TABLE 116 EUROPE: IMAGE RECOGNITION 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: 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)
             11.3.3 UK
                       11.3.3.1 Growing support for AI adoption to fuel market
                                   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)
             11.3.4 GERMANY
                       11.3.4.1 Growth in manufacturing sector to boost market
                                   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)
             11.3.5 FRANCE
                       11.3.5.1 Growing adoption in retail sector
                                   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)
             11.3.6 ITALY
                       11.3.6.1 Growing adoption in manufacturing industry
                                   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)
             11.3.7 REST OF EUROPE
                       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)
     11.4 ASIA PACIFIC 
             11.4.1 ASIA PACIFIC: MARKET DRIVERS
             11.4.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 37 ASIA PACIFIC: MARKET SNAPSHOT
                       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)
             11.4.3 CHINA
                       11.4.3.1 Growing investments in AI across industries to drive market
                                   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)
             11.4.4 JAPAN
                       11.4.4.1 Well-developed technological and economic landscape to boost market
                                   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)
             11.4.5 INDIA
                       11.4.5.1 Rise in technological innovation to fuel market growth
                                   TABLE 186 INDIA: IMAGE RECOGNITION 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)
             11.4.6 AUSTRALIA
                       11.4.6.1 Growing adoption of image recognition software across industries
                                   TABLE 192 AUSTRALIA: 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)
             11.4.7 SOUTH KOREA
                       11.4.7.1 Presence of advanced infrastructure to boost market
                                   TABLE 198 SOUTH KOREA: IMAGE RECOGNITION 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)
             11.4.8 MALAYSIA
                       11.4.8.1 Growing government support for AI innovation to drive growth
                                   TABLE 204 MALAYSIA: 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)
             11.4.9 REST OF ASIA PACIFIC
                       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)
     11.5 MIDDLE EAST & AFRICA 
             11.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             11.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                       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)
             11.5.3 GULF COOPERATION COUNCIL (GCC)
                       TABLE 230 GCC: IMAGE RECOGNITION 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)
                       11.5.3.1 UAE
                                   11.5.3.1.1 Need for technological advancements
                       11.5.3.2 Saudi Arabia
                                   11.5.3.2.1 Growing investments in AI
                       11.5.3.3 Other GCC Countries
             11.5.4 SOUTH AFRICA
                       11.5.4.1 Need to control traffic and crime rate to drive market
                                   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)
             11.5.5 REST OF MIDDLE EAST & AFRICA
                       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)
     11.6 LATIN AMERICA 
             11.6.1 LATIN AMERICA: MARKET DRIVERS
             11.6.2 LATIN AMERICA: RECESSION IMPACT
                       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)
             11.6.3 BRAZIL
                       11.6.3.1 Advancements in AI and digitalization to drive market growth
                                   TABLE 262 BRAZIL: IMAGE RECOGNITION 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)
             11.6.4 MEXICO
                       11.6.4.1 Growing focus on digitalization and cloud computing
                                   TABLE 268 MEXICO: 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)
             11.6.5 ARGENTINA
                       11.6.5.1 Increasing adoption of image recognition technology across sectors
                                   TABLE 274 ARGENTINA: IMAGE RECOGNITION 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)
             11.6.6 REST OF LATIN AMERICA
                       TABLE 280 REST OF LATIN AMERICA: 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)
 
12 COMPETITIVE LANDSCAPE (Page No. - 216)
     12.1 OVERVIEW 
     12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 
               TABLE 286 OVERVIEW OF STRATEGIES BY KEY IMAGE RECOGNITION SOFTWARE VENDORS
     12.3 MARKET SHARE ANALYSIS 
               TABLE 287 IMAGE RECOGNITION MARKET SHARE OF KEY VENDORS IN 2023
               FIGURE 38 MARKET SHARE ANALYSIS
     12.4 BRAND/PRODUCT COMPARISON 
               FIGURE 39 BRAND COMPARISON/VENDOR PRODUCT LANDSCAPE
     12.5 REVENUE ANALYSIS 
               FIGURE 40 HISTORICAL REVENUE ANALYSIS, 2019–2023 (USD MILLION)
     12.6 COMPANY EVALUATION MATRIX, KEY PLAYERS, 2023 
               FIGURE 41 COMPANY EVALUATION, KEY PLAYERS, 2023
               FIGURE 42 COMPANY EVALUATION MATRIX, KEY PLAYERS, 2023
             12.6.1 STARS
             12.6.2 EMERGING LEADERS
             12.6.3 PERVASIVE PLAYERS
             12.6.4 PARTICIPANTS
             12.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       FIGURE 43 MARKET: COMPANY FOOTPRINT
                       12.6.5.1 Region footprint
                                   TABLE 288 MARKET: COMPANY REGION FOOTPRINT
                       12.6.5.2 Company offering footprint
                                   TABLE 289 MARKET: COMPANY OFFERING FOOTPRINT
                       12.6.5.3 Company vertical footprint
                                   TABLE 290 MARKET: COMPANY VERTICAL FOOTPRINT
                       12.6.5.4 Company technology footprint
                                   TABLE 291 MARKET: COMPANY TECHNOLOGY FOOTPRINT
     12.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 
             12.7.1 PROGRESSIVE COMPANIES
             12.7.2 RESPONSIVE COMPANIES
             12.7.3 DYNAMIC COMPANIES
             12.7.4 STARTING BLOCKS
                       FIGURE 44 IMAGE RECOGNITION MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
             12.7.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
                       12.7.5.1 Key startups/SMEs, 2023
                                   TABLE 292 MARKET: KEY STARTUPS/SMES
                       12.7.5.2 Competitive benchmarking of Key startups/SMEs
                                   TABLE 293 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     12.8 COMPANY VALUATION AND FINANCIAL METRICS 
               FIGURE 45 COMPANY VALUATION AND FINANCIAL METRICS
     12.9 COMPETITIVE SCENARIO & TRENDS 
             12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 294 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–MARCH 2024
             12.9.2 DEALS
                       TABLE 295 MARKET: DEALS, JANUARY 2021–MARCH 2024
 
13 COMPANY PROFILES (Page No. - 236)
     13.1 INTRODUCTION 
     13.2 KEY PLAYERS 
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
             13.2.1 GOOGLE
                       TABLE 296 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 46 GOOGLE: COMPANY SNAPSHOT
                       TABLE 297 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 298 GOOGLE: DEALS
             13.2.2 QUALCOMM
                       TABLE 299 QUALCOMM: BUSINESS OVERVIEW
                       FIGURE 47 QUALCOMM: COMPANY SNAPSHOT
                       TABLE 300 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 301 QUALCOMM: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 302 QUALCOMM: DEALS
             13.2.3 AWS
                       TABLE 303 AWS: BUSINESS OVERVIEW
                       FIGURE 48 AWS: COMPANY SNAPSHOT
                       TABLE 304 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 305 AWS: DEALS
             13.2.4 MICROSOFT
                       TABLE 306 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 49 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 307 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 308 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 309 MICROSOFT: DEALS
             13.2.5 TOSHIBA
                       TABLE 310 TOSHIBA: BUSINESS OVERVIEW
                       FIGURE 50 TOSHIBA: COMPANY SNAPSHOT
                       TABLE 311 TOSHIBA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             13.2.6 NVIDIA
                       TABLE 312 NVIDIA: BUSINESS OVERVIEW
                       FIGURE 51 NVIDIA: COMPANY SNAPSHOT
                       TABLE 313 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 314 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 315 NVIDIA: DEALS
             13.2.7 ORACLE
                       TABLE 316 ORACLE: BUSINESS OVERVIEW
                       FIGURE 52 ORACLE: COMPANY SNAPSHOT
                       TABLE 317 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 318 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 319 ORACLE: DEALS
             13.2.8 NEC CORPORATION
                       TABLE 320 NEC CORPORATION: BUSINESS OVERVIEW
                       FIGURE 53 NEC CORPORATION: COMPANY SNAPSHOT
                       TABLE 321 NEC CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 322 NEC CORPORATION: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 323 NEC CORPORATION: DEALS
             13.2.9 HUAWEI
                       TABLE 324 HUAWEI: BUSINESS OVERVIEW
                       FIGURE 54 HUAWEI: COMPANY SNAPSHOT
                       TABLE 325 HUAWEI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 326 HUAWEI: PRODUCT LAUNCHES AND ENHANCEMENTS
                       TABLE 327 HUAWEI: DEALS
             13.2.10 HITACHI
                                   TABLE 328 HITACHI: BUSINESS OVERVIEW
                                   FIGURE 55 HITACHI: COMPANY SNAPSHOT
                                   TABLE 329 HITACHI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 330 HITACHI: PRODUCT LAUNCHES AND ENHANCEMENTS
                                   TABLE 331 HITACHI: DEALS
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
     13.3 OTHER PLAYERS 
             13.3.1 TRAX
             13.3.2 STMICROELECTRONICS
             13.3.3 ON SEMICONDUCTOR CORPORATION
             13.3.4 SNAP2INSIGHT
             13.3.5 ATTRASOFT
             13.3.6 STERISON
             13.3.7 UNICSOFT
             13.3.8 PARALLELDOTS
             13.3.9 VUE.AI
             13.3.10 CATCHOOM
             13.3.11 WIKITUDE
             13.3.12 XIMILAR
             13.3.13 IMAGGA TECHNOLOGIES
             13.3.14 BLIPPAR
             13.3.15 CLARIFAI
             13.3.16 LTU TECHNOLOGIES
             13.3.17 DEEPSIGNALS
 
14 ADJACENT/RELATED MARKETS (Page No. - 293)
     14.1 INTRODUCTION 
             14.1.1 RELATED MARKETS
             14.1.2 LIMITATIONS
     14.2 FACIAL RECOGNITION MARKET 
               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)
     14.3 EMOTION DETECTION AND RECOGNITION MARKET 
               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)
 
15 APPENDIX (Page No. - 298)
     15.1 DISCUSSION GUIDE 
     15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     15.3 CUSTOMIZATION OPTIONS 
     15.4 RELATED REPORTS 
     15.5 AUTHOR DETAILS 

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)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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Published ON
Mar, 2024
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