>Moyen-Orient et Afrique Apprentissage profond dans le marché de la vision artificielle, par offre (matériel, logiciel et services), application (inspection, analyse d'image, détection d'anomalies, classification d'objets, suivi d'objets, comptage, détection de codes-barres, détection de caractéristiques, détection d'emplacement, reconnaissance optique de caractères, reconnaissance faciale, segmentation d'instances et autres), objet (image et vidéo), vertical (électronique, fabrication, automobile et transport, alimentation et boissons, aérospatiale, soins de santé, bâtiment et matériaux, énergie et autres), pays (Arabie saoudite, Afrique du Sud, Émirats arabes unis, Égypte, Israël et reste du Moyen-Orient et de l'Afrique) Tendances et prévisions de l'industrie jusqu'en 2029
Analyse et perspectives du marché : marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique
Le marché de l'apprentissage en profondeur dans la vision artificielle au Moyen-Orient et en Afrique devrait connaître une croissance du marché au cours de la période de prévision de 2022 à 2029. Data Bridge Market Research analyse que le marché croît avec un TCAC de 11,3 % au cours de la période de prévision de 2022 à 2029 et devrait atteindre 731,61 millions USD d'ici 2029. La demande croissante de vérification d'identification et la demande croissante de réalité augmentée peuvent constituer un facteur majeur de croissance du marché.
L'apprentissage profond dans les systèmes de vision artificielle concerne les systèmes qui peuvent voir et comprendre le monde qui les entoure comme les humains, ce sont des ordinateurs capables de comprendre des images et des vidéos numériques. Cela est possible grâce aux progrès de la technologie des systèmes de vision, de l'intelligence artificielle et de la puissance de calcul. Les principes fondamentaux utilisés dans les systèmes sont l'acquisition de données ou d'images, le traitement de données ou d'images et la classification de données ou d'images. Les données acquises peuvent se présenter sous la forme d'images ou de vidéos capturées à l'aide de caméras haute définition, de caméras intelligentes, de capteurs, entre autres. Le traitement des données est effectué via divers modèles entraînés d'algorithmes d'apprentissage automatique, d'algorithmes d'apprentissage profond et d'algorithmes d'IA. Il peut être utilisé pour de nombreuses applications telles que la détection d'objets, la reconnaissance faciale, la détection de motifs, entre autres, dans divers secteurs verticaux tels que l'automobile, la fabrication, la santé, les services financiers, l'agriculture, entre autres.
Certains des facteurs qui stimulent le marché sont la demande croissante de vérification d'identité et l'adoption de l'IA utilisant l'apprentissage profond dans la vision artificielle. Mais la difficulté de localisation et de détection d'objets peut être un facteur limitant pour la croissance du marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique. L'intérêt croissant pour les services financiers et le secteur agricole fait partie des facteurs qui peuvent constituer une opportunité pour le marché. La complexité impliquée dans la conception d'un système d'apprentissage profond dans la vision artificielle peut constituer un défi pour la croissance du marché.
Ce rapport sur le marché de l'apprentissage en profondeur dans la vision artificielle fournit des détails sur la part de marché, les nouveaux développements et l'analyse du pipeline de produits, l'impact des acteurs du marché national et local, analyse les opportunités en termes de poches de revenus émergentes, de changements dans la réglementation du marché, d'approbations de produits, de décisions stratégiques, de lancements de produits, d'expansions géographiques et d'innovations technologiques sur le marché. Pour comprendre l'analyse et le scénario du marché, contactez-nous pour un briefing d'analyste, notre équipe vous aidera à créer une solution d'impact sur les revenus pour atteindre votre objectif souhaité.
Portée et taille du marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique
Le marché de l'apprentissage en profondeur dans la vision artificielle au Moyen-Orient et en Afrique est segmenté en fonction de l'offre, de l'application, de l'objet et de la verticale. La croissance entre les segments vous aide à analyser les niches de croissance et les stratégies pour aborder le marché et déterminer vos principaux domaines d'application et la différence entre vos marchés cibles.
- Sur la base de l'offre, le marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique est segmenté en matériel, logiciels et services. En 2022, le matériel a occupé une part plus importante du marché, car le besoin de produits matériels intelligents a littéralement augmenté en raison de la domination de l'intelligence artificielle et des composants essentiels pour l'apprentissage profond dans le marché de la vision artificielle.
- Sur la base des applications, le marché de l'apprentissage profond en vision artificielle au Moyen-Orient et en Afrique a été segmenté en inspection, analyse d'images, détection d'anomalies, classification d'objets, suivi d'objets, comptage, détection de codes-barres, détection de caractéristiques, détection d'emplacement, reconnaissance optique de caractères , reconnaissance faciale, segmentation d'instances, etc. En 2022, l'inspection a occupé une part de marché plus importante, en raison du besoin croissant de précision et de finition des produits manufacturés de diverses industries.
- Sur la base de l'objet, le marché de l'apprentissage profond dans la vision industrielle au Moyen-Orient et en Afrique a été segmenté en image et vidéo. En 2022, le segment de l'image devrait détenir la part la plus importante du marché en raison de la demande croissante de spécifications d'imagerie de haute qualité dans divers dispositifs matériels de vision industrielle.
- Sur la base de la verticale, le marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique a été segmenté en électronique, fabrication, automobile et transport, alimentation et boissons, aérospatiale, santé, bâtiment et matériaux, énergie, etc. En 2022, le segment de l'électronique devrait détenir la plus grande part du marché en raison de facteurs tels que la demande croissante d'IA et d'apprentissage automatique dans divers matériels et systèmes électroniques.
Analyse du marché de l'apprentissage profond dans la vision artificielle au Moyen-Orient et en Afrique
Middle East and Africa deep learning in machine vision market is analysed and market size information is provided by offering, application, object, and vertical.
The countries covered in Middle East and Africa deep learning in machine vision market report are Saudi Arabia, U.A.E., Israel, South Africa, Egypt, and rest of Middle East and Africa.
Saudi Arabia dominates the deep learning in machine vision market owing to various factors like growing demands for identification verification and demand for augmented reality.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as new sales, replacement sales, country demographics, regulatory acts and import-export tariffs are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of Middle East and Africa brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of sales channels are considered while providing forecast analysis of the country data.
Rising Demand of Deep Learning in Machine Vision System.
Middle East and Africa deep learning in machine vision market also provides you with detailed market analysis for every country growth in industry with sales, components sales, impact of technological development in deep learning in machine vision and changes in regulatory scenarios with their support for the Middle East and Africa deep learning in machine vision market. The data is available for historic period of 2020.
Competitive Landscape and Middle East and Africa Deep Learning in Machine Vision Market Share Analysis
Middle East and Africa deep learning in machine vision market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Middle East and Africa presence, production sites and facilities, company strengths and weaknesses, product launch, product trials pipelines, product approvals, patents, product width and breadth, application dominance, technology lifeline curve. The above data points provided are only related to the companies’ focus related to Middle East and Africa deep learning in machine vision market.
Français Certains des principaux acteurs opérant sur le marché de l'apprentissage profond dans la vision industrielle sont Cognex Corporation, Intel Corporation, NATIONAL INSTRUMENTS CORP., SICK AG, Datalogic SpA, STEMMER IMAGING AG, Abto Software, Adaptive Vision Sp. z oo (filiale de Zebra Technologies Corporation), Autonics Corporation, Basler AG, Cyth Systems, Inc., EURESYS SA, IDS Imaging Development Systems GmbH, Integro Technologies Corp., LeewayHertz, Matrox Imaging, MVTEC SOFTWARE GMBH, Omron Microscan Systems, Inc. (Une filiale d'OMRON Corporation), perClass BV, Qualitas Technologies, RSIP Vision, USS Vision LLC et Viska Automation Systems Ltd. T/A Viska Systems, entre autres. Les analystes de DBMR comprennent les atouts de la concurrence et fournissent une analyse concurrentielle pour chaque concurrent séparément.
Par exemple,
- En mars 2020, KEYENCE CORPORATION a lancé un nouveau produit dans le domaine du système de vision avec la série CV-X d'éclairage par projection de motifs, capable de réaliser un système de vision d'inspection 2D, d'extraction de hauteur et d'inspection 3D, entre autres. Il est alimenté par un contrôleur de vision. Il s'agit d'un produit unique qui peut inspecter et analyser les défauts et qui peut être largement utilisé dans les entreprises automobiles. C'est un atout majeur pour l'entreprise en raison de sa fiabilité dans la détection des défauts
- En avril 2020, Cadence Design Systems, Inc. a lancé de nouveaux produits : les DSP Vision Q8 et Vision P1. Cette initiative a été mise en place pour répondre à la demande croissante dans des secteurs tels que l'automobile, la téléphonie mobile et les marchés grand public. Ces modèles étant optimisés pour les applications automobiles mobiles et multi-caméras haut de gamme, les produits améliorent les performances de 4 fois. L'entreprise a ainsi élargi son portefeuille de produits et proposé des produits fiables aux consommateurs.
Les partenariats, les coentreprises et d'autres stratégies permettent d'accroître la part de marché de l'entreprise grâce à une couverture et une présence accrues. Cela permet également aux organisations d'améliorer leur offre pour le marché de l'apprentissage en profondeur dans la vision artificielle au Moyen-Orient et en Afrique grâce à une gamme de tailles élargie.
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Table des matières
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 GEOGRAPHICAL SCOPE
2.3 YEARS CONSIDERED FOR THE STUDY
2.4 DBMR TRIPOD DATA VALIDATION MODEL
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS
2.6 DBMR MARKET POSITION GRID
2.7 VENDOR SHARE ANALYSIS
2.8 MULTIVARIATE MODELING
2.9 OFFERING TIMELINE CURVE
2.1 MARKET APPLICATION COVERAGE GRID
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
5 MARKET OVERVIEW
5.1 DRIVERS
5.1.1 RISE IN DEMAND FOR QUALITY SUPERVISION AND TECHNOLOGIES
5.1.2 INCREASE IN NEED FOR VISION-GUIDED ROBOTICS SYSTEMS
5.1.3 GROW IN ACCEPTANCE OF 3D MACHINE VISION SYSTEMS
5.1.4 INCREASE IN ADOPTION OF CLOUD-BASED TECHNOLOGY
5.2 RESTRAINTS
5.2.1 LACK OF TECHNICAL EXPERTISE
5.2.2 HIGH COST OF THE EQUIPMENT
5.2.3 SURGE IN RISK OF CYBER-ATTACKS ON INDUSTRIAL MACHINE ROBOTS AND DEVICES
5.3 OPPORTUNITIES
5.3.1 GROWTH IN MANUFACTURING OF HYBRID AND ELECTRIC CARS
5.3.2 GOVERNMENT INITIATIVES TO BOOST AI-RELATED AUTOMATION IN INDUSTRIES
5.3.3 INCREASING DEMAND FOR MACHINE VISION IN AUTOMOTIVE AND MANUFACTURING INDUSTRIES
5.3.4 INCREASE IN VARIOUS STRATEGIC DECISIONS SUCH AS PARTNERSHIP AND ACQUISITION
5.4 CHALLENGES
5.4.1 COMPLICATIONS IN INTEGRATING MACHINE VISION SYSTEMS
5.4.2 ABSENCE OF CUSTOMER KNOWLEDGE ABOUT SWIFTLY ADJUSTING CHANGING MACHINE VISION TECHNOLOGY
6 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING
6.1 OVERVIEW
6.2 HARDWARE
6.2.1 COMPUTATIONAL DEVICES
6.2.2 INPUT DEVICES
6.3 SOFTWARE
6.4 SERVICES
6.4.1 PROFESSIONAL SERVICES
6.4.1.1 TRAINING AND CONSULTING
6.4.1.2 IMPLEMENTATION
6.4.1.3 SUPPORT AND MAINTENANCE
6.4.2 MANAGED SERVICES
7 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION
7.1 OVERVIEW
7.2 INSPECTION
7.3 IMAGE ANALYSIS
7.3.1 SINGLE IMAGE ANALYSIS
7.3.2 MULTI IMAGE ANALYSIS
7.4 ANOMALY DETECTION
7.5 OBJECT CLASSIFICATION
7.6 OBJECT TRACKING
7.7 COUNTING
7.8 BAR CODE DETECTION
7.9 FEATURE DETECTION
7.1 LOCATION DETECTION
7.11 OPTICAL CHARACTER RECOGNITION
7.12 FACE RECOGNITION
7.13 INSTANCE SEGMENTATION
7.14 OTHERS
8 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT
8.1 OVERVIEW
8.2 IMAGE
8.3 VIDEO
9 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL
9.1 OVERVIEW
9.2 ELECTRONICS
9.2.1 HARDWARE
9.2.2 SOFTWARE
9.2.3 SERVICES
9.3 MANUFACTURING
9.3.1 HARDWARE
9.3.2 SOFTWARE
9.3.3 SERVICES
9.4 AUTOMOTIVE AND TRANSPORTATION
9.4.1 HARDWARE
9.4.2 SOFTWARE
9.4.3 SERVICES
9.5 FOOD & BEVERAGES
9.5.1 HARDWARE
9.5.2 SOFTWARE
9.5.3 SERVICES
9.6 AEROSPACE
9.6.1 HARDWARE
9.6.2 SOFTWARE
9.6.3 SERVICES
9.7 HEALTHCARE
9.7.1 HARDWARE
9.7.2 SOFTWARE
9.7.3 SERVICES
9.8 BUILDING AND MATERIAL
9.8.1 HARDWARE
9.8.2 SOFTWARE
9.8.3 SERVICES
9.9 POWER
9.9.1 HARDWARE
9.9.2 SOFTWARE
9.9.3 SERVICES
9.1 OTHERS
10 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY REGION
10.1 MIDDLE EAST AND AFRICA
10.1.1 SAUDI ARABIA
10.1.2 U.A.E.
10.1.3 ISRAEL
10.1.4 SOUTH AFRICA
10.1.5 EGYPT
10.1.6 REST OF MIDDLE EAST AND AFRICA
11 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, COMPANY LANDSCAPE
11.1 COMPANY SHARE ANALYSIS: MIDDLE EAST & AFRICA
12 SWOT ANALYSIS
13 COMPANY PROFILE
13.1 COGNEX CORPORATION
13.1.1 COMPANY SNAPSHOT
13.1.2 REVENUE ANALYSIS
13.1.3 COMPANY SHARE ANALYSIS
13.1.4 PRODUCT PORTFOLIO
13.1.5 RECENT DEVELOPMENTS
13.2 INTEL CORPORATION
13.2.1 COMPANY SNAPSHOT
13.2.2 REVENUE ANALYSIS
13.2.3 COMPANY SHARE ANALYSIS
13.2.4 PRODUCT PORTFOLIO
13.2.5 RECENT DEVELOPMENTS
13.3 NATIONAL INSTRUMENTS CORP.
13.3.1 COMPANY SNAPSHOT
13.3.2 REVENUE ANALYSIS
13.3.3 COMPANY SHARE ANALYSIS
13.3.4 PRODUCT PORTFOLIO
13.3.5 RECENT DEVELOPMENT
13.4 SICK AG
13.4.1 COMPANY SNAPSHOT
13.4.2 COMPANY SHARE ANALYSIS
13.4.3 PRODUCT PORTFOLIO
13.4.4 RECENT DEVELOPMENTS
13.5 DATALOGIC S.P.A.
13.5.1 COMPANY SNAPSHOT
13.5.2 REVENUE ANALYSIS
13.5.3 COMPANY SHARE ANALYSIS
13.5.4 PRODUCT PORTFOLIO
13.5.5 RECENT DEVELOPMENTS
13.6 STEMMER IMAGING AG
13.6.1 COMPANY SNAPSHOT
13.6.2 REVENUE ANALYSIS
13.6.3 PRODUCT PORTFOLIO
13.6.4 RECENT DEVELOPMENTS
13.7 ABTO SOFTWARE
13.7.1 COMPANY SNAPSHOT
13.7.2 PRODUCT PORTFOLIO
13.7.3 RECENT DEVELOPMENTS
13.8 ADAPTIVE VISION SP. Z O.O.
13.8.1 COMPANY SNAPSHOT
13.8.2 REVENUE ANALYSIS
13.8.3 PRODUCT PORTFOLIO
13.8.4 RECENT DEVELOPMENTS
13.9 AUTONICS CORPORATION
13.9.1 COMPANY SNAPSHOT
13.9.2 PRODUCT PORTFOLIO
13.9.3 RECENT DEVELOPMENTS
13.1 BASLER AG
13.10.1 COMPANY SNAPSHOT
13.10.2 REVENUE ANALYSIS
13.10.3 PRODUCT PORTFOLIO
13.10.4 RECENT DEVELOPMENTS
13.11 CYTH SYSTEMS, INC.
13.11.1 COMPANY SNAPSHOT
13.11.2 PRODUCT PORTFOLIO
13.11.3 RECENT DEVELOPMENT
13.12 EURESYS S.A.
13.12.1 COMPANY SNAPSHOT
13.12.2 PRODUCT PORTFOLIO
13.12.3 RECENT DEVELOPMENTS
13.13 IDS IMAGING DEVELOPMENT SYSTEMS GMBH
13.13.1 COMPANY SNAPSHOT
13.13.2 PRODUCT PORTFOLIO
13.13.3 RECENT DEVELOPMENTS
13.14 INTEGRO TECHNOLOGIES CORP.
13.14.1 COMPANY SNAPSHOT
13.14.2 PRODUCT PORTFOLIO
13.14.3 RECENT DEVELOPMENT
13.15 LEEWAYHERTZ
13.15.1 COMPANY SNAPSHOT
13.15.2 SERVICE PORTFOLIO
13.15.3 RECENT DEVELOPMENTS
13.16 MATROX IMAGING
13.16.1 COMPANY SNAPSHOT
13.16.2 PRODUCT PORTFOLIO
13.16.3 RECENT DEVELOPMENTS
13.17 MVTEC SOFTWARE GMBH
13.17.1 COMPANY SNAPSHOT
13.17.2 PRODUCT PORTFOLIO
13.17.3 RECENT DEVELOPMENTS
13.18 OMRON MICROSCAN SYSTEMS, INC.
13.18.1 COMPANY SNAPSHOT
13.18.2 REVENUE ANALYSIS
13.18.3 PRODUCT PORTFOLIO
13.18.4 RECENT DEVELOPMENTS
13.19 PERCLASS BV
13.19.1 COMPANY SNAPSHOT
13.19.2 PRODUCT PORTFOLIO
13.19.3 RECENT DEVELOPMENTS
13.2 QUALITAS TECHNOLOGIES
13.20.1 COMPANY SNAPSHOT
13.20.2 PRODUCT PORTFOLIO
13.20.3 RECENT DEVELOPMENTS
13.21 RSIP VISION
13.21.1 COMPANY SNAPSHOT
13.21.2 PRODUCT PORTFOLIO
13.21.3 RECENT DEVELOPMENTS
13.22 USS VISION LLC
13.22.1 COMPANY SNAPSHOT
13.22.2 PRODUCT PORTFOLIO
13.22.3 RECENT DEVELOPMENTS
13.23 VISKA AUTOMATION SYSTEMS LTD. T/A VISKA SYSTEMS
13.23.1 COMPANY SNAPSHOT
13.23.2 PRODUCT PORTFOLIO
13.23.3 RECENT DEVELOPMENTS
14 QUESTIONNAIRE
15 RELATED REPORTS
Liste des tableaux
TABLE 1 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 2 MIDDLE EAST & AFRICA HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 3 MIDDLE EAST & AFRICA HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 4 MIDDLE EAST & AFRICA SOFTWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 5 MIDDLE EAST & AFRICA SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 6 MIDDLE EAST & AFRICA SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 7 MIDDLE EAST & AFRICA PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 8 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 9 MIDDLE EAST & AFRICA INSPECTION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 10 MIDDLE EAST & AFRICA IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 11 MIDDLE EAST & AFRICA IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 12 MIDDLE EAST & AFRICA ANOMALY DETECTION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 13 MIDDLE EAST & AFRICA OBJECT CLASSIFICATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 14 MIDDLE EAST & AFRICA OBJECT TRACKING IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 15 MIDDLE EAST & AFRICA COUNTING IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 16 MIDDLE EAST & AFRICA BAR CODE DETECTION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 17 MIDDLE EAST & AFRICA FEATURE DETECTION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 18 MIDDLE EAST & AFRICA LOCATION DETECTION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 19 MIDDLE EAST & AFRICA OPTICAL CHARACTER RECOGNITION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 20 MIDDLE EAST & AFRICA FACE RECOGNITION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 21 MIDDLE EAST & AFRICA INSTANCE SEGMENTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 22 MIDDLE EAST & AFRICA OTHERS IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 23 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 24 MIDDLE EAST & AFRICA IMAGE IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 25 MIDDLE EAST & AFRICA VIDEO IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 26 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 27 MIDDLE EAST & AFRICA ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 28 MIDDLE EAST & AFRICA ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 29 MIDDLE EAST & AFRICA MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 30 MIDDLE EAST & AFRICA MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 31 MIDDLE EAST & AFRICA AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 32 MIDDLE EAST & AFRICA AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 33 MIDDLE EAST & AFRICA FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 34 MIDDLE EAST & AFRICA FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 35 MIDDLE EAST & AFRICA AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 36 MIDDLE EAST & AFRICA AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 37 MIDDLE EAST & AFRICA HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 38 MIDDLE EAST & AFRICA HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 39 MIDDLE EAST & AFRICA BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 40 MIDDLE EAST & AFRICA BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 41 MIDDLE EAST & AFRICA POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 42 MIDDLE EAST & AFRICA POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 43 MIDDLE EAST & AFRICA OTHERS IN DEEP LEARNING IN MACHINE VISION MARKET, BY REGION, 2020-2029 (USD MILLION)
TABLE 44 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY COUNTRY, 2020-2029 (USD MILLION)
TABLE 45 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 46 MIDDLE EAST AND AFRICA HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 47 MIDDLE EAST AND AFRICA SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 48 MIDDLE EAST AND AFRICA PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 49 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 50 MIDDLE EAST AND AFRICA IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 51 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 52 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 53 MIDDLE EAST AND AFRICA ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 54 MIDDLE EAST AND AFRICA MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 55 MIDDLE EAST AND AFRICA AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 56 MIDDLE EAST AND AFRICA FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 57 MIDDLE EAST AND AFRICA AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 58 MIDDLE EAST AND AFRICA HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 59 MIDDLE EAST AND AFRICA BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 60 MIDDLE EAST AND AFRICA POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 61 SAUDI ARABIA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 62 SAUDI ARABIA HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 63 SAUDI ARABIA SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 64 SAUDI ARABIA PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 65 SAUDI ARABIA DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 66 SAUDI ARABIA IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 67 SAUDI ARABIA DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 68 SAUDI ARABIA DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 69 SAUDI ARABIA ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 70 SAUDI ARABIA MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 71 SAUDI ARABIA AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 72 SAUDI ARABIA FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 73 SAUDI ARABIA AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 74 SAUDI ARABIA HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 75 SAUDI ARABIA BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 76 SAUDI ARABIA POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 77 U.A.E. DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 78 U.A.E. HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 79 U.A.E. SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 80 U.A.E. PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 81 U.A.E. DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 82 U.A.E. IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 83 U.A.E. DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 84 U.A.E. DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 85 U.A.E. ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 86 U.A.E. MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 87 U.A.E. AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 88 U.A.E. FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 89 U.A.E. AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 90 U.A.E. HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 91 U.A.E. BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 92 U.A.E. POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 93 ISRAEL DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 94 ISRAEL HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 95 ISRAEL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 96 ISRAEL PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 97 ISRAEL DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 98 ISRAEL IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 99 ISRAEL DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 100 ISRAEL DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 101 ISRAEL ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 102 ISRAEL MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 103 ISRAEL AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 104 ISRAEL FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 105 ISRAEL AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 106 ISRAEL HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 107 ISRAEL BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 108 ISRAEL POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 109 SOUTH AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 110 SOUTH AFRICA HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 111 SOUTH AFRICA SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 112 SOUTH AFRICA PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 113 SOUTH AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 114 SOUTH AFRICA IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 115 SOUTH AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 116 SOUTH AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 117 SOUTH AFRICA ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 118 SOUTH AFRICA MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 119 SOUTH AFRICA AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 120 SOUTH AFRICA FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 121 SOUTH AFRICA AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 122 SOUTH AFRICA HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 123 SOUTH AFRICA BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 124 SOUTH AFRICA POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 125 EGYPT DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 126 EGYPT HARDWARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 127 EGYPT SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 128 EGYPT PROFESSIONAL SERVICES IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 129 EGYPT DEEP LEARNING IN MACHINE VISION MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 130 EGYPT IMAGE ANALYSIS IN DEEP LEARNING IN MACHINE VISION MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 131 EGYPT DEEP LEARNING IN MACHINE VISION MARKET, BY OBJECT, 2020-2029 (USD MILLION)
TABLE 132 EGYPT DEEP LEARNING IN MACHINE VISION MARKET, BY VERTICAL, 2020-2029 (USD MILLION)
TABLE 133 EGYPT ELECTRONICS IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 134 EGYPT MANUFACTURING IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 135 EGYPT AUTOMOTIVE AND TRANSPORTATION IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 136 EGYPT FOOD & BEVERAGES IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 137 EGYPT AEROSPACE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 138 EGYPT HEALTHCARE IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 139 EGYPT BUILDING AND MATERIAL IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 140 EGYPT POWER IN DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
TABLE 141 REST OF MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET, BY OFFERING, 2020-2029 (USD MILLION)
Liste des figures
FIGURE 1 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: SEGMENTATION
FIGURE 2 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: DATA TRIANGULATION
FIGURE 3 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: DROC ANALYSIS
FIGURE 4 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: MIDDLE EAST & AFRICA VS REGIONAL MARKET ANALYSIS
FIGURE 5 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: DBMR MARKET POSITION GRID
FIGURE 8 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 10 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: SEGMENTATION
FIGURE 11 RISING DEMAND FOR QUALITY SUPERVISION AND TECHNOLOGIES IS EXPECTED TO DRIVE MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET IN THE FORECAST PERIOD OF 2022 TO 2029
FIGURE 12 HARDWARE SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET IN 2022 & 2029
FIGURE 13 NORTH AMERICA IS EXPECTED TO DOMINATE THE MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET AND ASIA-PACIFIC IS EXPECTED TO GROW AT THE HIGHEST CAGR IN THE FORECAST PERIOD OF 2022 TO 2029
FIGURE 14 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET
FIGURE 15 INSTALLED INDUSTRIAL ROBOTS PER 10,000 EMPLOYEES IN THE MANUFACTURING INDUSTRY, 2019
FIGURE 16 MOST USED CLOUD STORAGE SERVICES
FIGURE 17 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY OFFERING, 2021
FIGURE 18 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY APPLICATION, 2021
FIGURE 19 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY OBJECT, 2021
FIGURE 20 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY VERTICAL, 2021
FIGURE 21 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET: SNAPSHOT (2021)
FIGURE 22 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY COUNTRY (2021)
FIGURE 23 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY COUNTRY (2022 & 2029)
FIGURE 24 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY COUNTRY (2021 & 2029)
FIGURE 25 MIDDLE EAST AND AFRICA DEEP LEARNING IN MACHINE VISION MARKET: BY OFFERING (2022-2029)
FIGURE 26 MIDDLE EAST & AFRICA DEEP LEARNING IN MACHINE VISION MARKET: COMPANY SHARE 2021 (%)
Méthodologie de recherche
La collecte de données et l'analyse de l'année de base sont effectuées à l'aide de modules de collecte de données avec des échantillons de grande taille. L'étape consiste à obtenir des informations sur le marché ou des données connexes via diverses sources et stratégies. Elle comprend l'examen et la planification à l'avance de toutes les données acquises dans le passé. Elle englobe également l'examen des incohérences d'informations observées dans différentes sources d'informations. Les données de marché sont analysées et estimées à l'aide de modèles statistiques et cohérents de marché. De plus, l'analyse des parts de marché et l'analyse des tendances clés sont les principaux facteurs de succès du rapport de marché. Pour en savoir plus, veuillez demander un appel d'analyste ou déposer votre demande.
La méthodologie de recherche clé utilisée par l'équipe de recherche DBMR est la triangulation des données qui implique l'exploration de données, l'analyse de l'impact des variables de données sur le marché et la validation primaire (expert du secteur). Les modèles de données incluent la grille de positionnement des fournisseurs, l'analyse de la chronologie du marché, l'aperçu et le guide du marché, la grille de positionnement des entreprises, l'analyse des brevets, l'analyse des prix, l'analyse des parts de marché des entreprises, les normes de mesure, l'analyse globale par rapport à l'analyse régionale et des parts des fournisseurs. Pour en savoir plus sur la méthodologie de recherche, envoyez une demande pour parler à nos experts du secteur.
Personnalisation disponible
Data Bridge Market Research est un leader de la recherche formative avancée. Nous sommes fiers de fournir à nos clients existants et nouveaux des données et des analyses qui correspondent à leurs objectifs. Le rapport peut être personnalisé pour inclure une analyse des tendances des prix des marques cibles, une compréhension du marché pour d'autres pays (demandez la liste des pays), des données sur les résultats des essais cliniques, une revue de la littérature, une analyse du marché des produits remis à neuf et de la base de produits. L'analyse du marché des concurrents cibles peut être analysée à partir d'une analyse basée sur la technologie jusqu'à des stratégies de portefeuille de marché. Nous pouvons ajouter autant de concurrents que vous le souhaitez, dans le format et le style de données que vous recherchez. Notre équipe d'analystes peut également vous fournir des données sous forme de fichiers Excel bruts, de tableaux croisés dynamiques (Fact book) ou peut vous aider à créer des présentations à partir des ensembles de données disponibles dans le rapport.
