>Marché irakien de l'intelligence artificielle, par composant (matériel, logiciel, services), type (IA générale/forte, IA étroite/faible), taille de l'organisation (grandes entreprises, petites et moyennes entreprises), technologie (apprentissage automatique, apprentissage profond, vision par ordinateur, traitement du langage naturel (NLP), reconnaissance vocale, traitement d'images, informatique contextuelle), application (assistants virtuels/chatbots, prévisions et modélisation, analyse de texte, analyse vocale, maintenance prédictive et autres), utilisateur final (fabrication, vente au détail, soins de santé, sécurité, automobile, aérospatiale, marketing, construction, télécommunication, défense, pétrole et gaz, banque et finance, droit, automatisation des bâtiments , médias et divertissement, ressources humaines, chaîne d'approvisionnement, alimentation et boissons, jeux, agriculture, produits de consommation, éducation, divertissement, autres) - Tendances et prévisions de l'industrie jusqu'en 2029.
Analyse et taille du marché de l'intelligence artificielle en Irak
L'intelligence artificielle est utilisée pour la gestion des données, la fluidité et la sécurité en garantissant que toutes les ressources fonctionnent correctement et au bon endroit. La prévision, la planification, la gestion des compétences, la gestion des ressources, le traitement et le calcul, ainsi que la classification des données sont tous des aspects courants de l'intelligence artificielle. Avec les progrès de la technologie de l'intelligence artificielle et l'évolution progressive vers des systèmes intelligents, le marché irakien de l'intelligence artificielle va exploser à l'avenir. Les investissements croissants dans les systèmes d'intelligence artificielle stimulent principalement le marché irakien de l'intelligence artificielle. En outre, l'augmentation de la demande de systèmes intelligents alimente la croissance rapide du marché. Cependant, le coût élevé de mise en œuvre des solutions d'intelligence artificielle (IA) est le principal facteur limitant la croissance du marché. En outre, les tendances croissantes de l'industrie 4.0 offrent des opportunités lucratives pour le marché irakien de l'intelligence artificielle.
Selon les analyses de Data Bridge Market Research, le marché irakien de l'intelligence artificielle devrait atteindre la valeur de 1 582,04 millions USD d'ici 2029, à un TCAC de 12,7 % au cours de la période de prévision. Le « matériel » représente le segment de composants le plus important sur le marché irakien de l'intelligence artificielle et fournit des installations de base et une large gamme de fonctionnalités avec différentes plates-formes.
|
Rapport métrique |
Détails |
|
Période de prévision |
2022 à 2029 |
|
Année de base |
2021 |
|
Années historiques |
2020 (personnalisable jusqu'en 2019-2014) |
|
Unités quantitatives |
Chiffre d'affaires en millions USD, prix en USD |
|
Segments couverts |
Component (Hardware, Software, Services), Type (General/Strong AI, Narrow/Weak AI), Organization Size (Large Enterprises, Small and Medium-Sized Enterprises), Technology (Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Speech Recognition, Image Processing, Context-Aware Computing), Application (Virtual Assistants/Chatbots, Forecasts and Modeling, Text Analytics, Speech Analytics, Predictive Maintenance, and Others), End User (Manufacturing, Retail, Healthcare, Security, Automotive, Aerospace, Marketing, Construction, Telecommunication, Defense, Oil and Gas, Banking and Finance, Law, Building Automation, Media and Entertainment, Human Resources, Supply Chain, Food and Beverage, Gaming, Agriculture, Consumer Products, Education, Entertainment, Others) |
|
Country Covered |
Iraq |
|
Market Players Covered |
NVIDIA Corporation, Intel Corporation, IBM Corporation, Cisco Systems, Inc., Amazon Web Services, Inc. (Subsidiary of Amazon.com, Inc.), Google (a subsidiary of Alphabet Inc.), QlikTech International AB, MICROSTRATEGY INCORPORATED, Twerlo, CBOT, WideBot, Inc, DilenyTech, Siemens, SAMSUNG ELECTRONICS CO., LTD., Meta, Oracle, SAP SE, Salesforce, Inc., SAS Institute Inc., Baidu, Inc., Hyperlink InfoSystem, CSP Solution, DECE Software Inc., Rockwell Automation, Inc., Yesil Science Teknoloji Ltd. Sti., Microsoft, Huawei Technologies Co., Ltd., among others |
Market Definition
Artificial intelligence is a field that combines computer science and robust datasets to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence. These disciplines are comprised of AI algorithms that seek to create expert systems that make predictions or classifications based on input data.
Artificial Intelligence can be categorized into weak and strong AI. Weak AI, also called Narrow AI or Artificial Narrow Intelligence (ANI), is AI trained and focused on performing specific tasks. Weak AI drives most of the AI that surrounds us today. 'Narrow' might be a more accurate descriptor for this type of AI as it is anything but weak; it enables some very robust applications, such as Apple's Siri, Amazon's Alexa, IBM Watson, and autonomous vehicles. Strong AI is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Artificial general intelligence (AGI), or general AI, is a theoretical form of AI where a machine would have an intelligence equivalent to humans; it would have a self-aware consciousness that can solve problems, learn, and plan for the future.
Iraq Artificial Intelligence Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers
- Growing Investments In Artificial Intelligence Systems
Governments and businesses across the Middle East are beginning to realize the shift towards AI and advanced technologies. AI has the potential to fundamentally disrupt markets in the Middle East through the creation of innovative new services and entirely new business models. Businesses across the Middle East have started to shift their focus toward emerging and in-demand technologies such as artificial intelligence
- Majority of Applications of Artificial Intelligence Across Different Sectors Such as Healthcare, BFSI, E-commerce, and Retail
Artificial intelligence has become crucial for automating various corporate and industrial tasks. Artificial intelligence can improve the efficiency of a manufacturing unit. At the same time, it can make human resource management, financial analysis, and other business decision-making processes accurate. Implementation of this technology also automates various business tasks. Without human involvement, businesses can manage many tasks through artificial intelligence or machine learning.
- Rise in Demand for Intelligent Systems
Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Intelligent systems refer to different software tools that enable decision-makers to draw on experts' knowledge and decision processes in making decisions. Manufacturers use AI technology to make systems intelligent. Machine intelligence proves more efficient than human intelligence in a few cases. Therefore, a business can increase productivity by integrating AI with its systems.
- Rising Adoption of Cloud Technology
Nowadays cloud has become a new paradigm for delivering computing as a utility. Organizations were adapting and reshaping themselves to meet consumers growing and changing demands with technology, innovation, and digitization. Cloud services are revolutionizing business operations through managed services. Businesses are adopting cloud technologies to manage and process data for real-time insights effectively. Using AI in the cloud can improve performance and efficiency while driving enterprise digital transformation. AI capabilities in the cloud computing environment are crucial to making business operations more efficient, strategic, and insight-driven while also providing additional flexibility, agility, and cost savings.
Restraints
- High Implementation Cost of Artificial Intelligence (AI) Solutions
Artificial intelligence (AI) encompasses everything from chatbots to data analysis systems, helping businesses around the globe to create personalized, sales-driving experiences for consumers and business buyers. High cost and time are required to implement and install an AI system effectively. The true cost of AI can be a lot more complicated based on the features needed and business line; sometimes, the budget may exceed the decided ones.
- Lack of Technical Expertise
Increasing technological advances, innovations, and digitization of business processes are making it difficult for workers, employees, and staff to match their skill set with the needs of the growing and technologically updated operations. This creates a skill gap between the staff and the business. There is a shortage of technical skilled expertise with relevant qualifications and knowledge as technology upgrades daily.
Post COVID-19 Impact on Artificial Intelligence
COVID-19 created a major impact on Artificial Intelligence as almost every country opted for the shutdown of every production facility except the ones dealing in producing essential goods. The government has taken strict actions such as shutting down the production and sale of non-essential goods, blocking international trade, and many more to prevent the spread of COVID-19. The only businesses dealing with this pandemic were the essential services allowed to open and run the processes.
The limited investment costs and lack of employees hampered data center sales and production. However, government and market key players adopted new safety measures for developing the practices. Technological advancements escalated the growth rate of Artificial Intelligence as it targeted the right audience. The data center construction market is expected to regain its pace during the post-pandemic scenario due to the easing of the restrictions.
Recent Developments
- In December 2020, Twerlo announced the launch of its WhatsApp API-based customer support solution. The products enhance customer experience by building solutions that ease customer journey. Twerlo has the vision of transforming the ways businesses communicate with their customers. Twerlo has already started gaining attention from the business giants in Saudi Arabia. This enhanced the company's offerings in the region
- In March 2022, SAP SE announced the opening of SAP Labs Singapore, a digital innovation hub that will promote local digital talent, advance ecosystem and community involvement, and drive product leadership. To advance a revolutionary digital supply chain, intelligent business network, and sustainability solutions, this will be the first of its kind for SAP in the South East Asia (SEA) region. Deep technologies such as artificial intelligence (AI) and machine learning will also be catalysed. This development will enhance the presence of SAP in the region
Iraq Artificial Intelligence Market Scope
Iraq artificial intelligence market is segmented into component, type, organization size, technology, application, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
- Hardware
- Software
- Services
On the basis of component, the Iraq artificial intelligence market is segmented into hardware, software, and services.
Type
- IA générale/forte,
- IA étroite/faible
Sur la base du type, le marché irakien de l’intelligence artificielle est segmenté en IA générale/forte, IA étroite/faible.
Taille de l'organisation
- Grandes entreprises
- Petites entreprises
- Entreprises de taille moyenne
Sur la base de la taille de l'organisation, le marché irakien de l'intelligence artificielle est segmenté en grandes entreprises, petites et moyennes entreprises.
Technologie
- Apprentissage automatique
- Apprentissage profond
- Vision par ordinateur
- Traitement du langage naturel (TLN)
- Reconnaissance vocale
- Traitement d'image
- Informatique sensible au contexte
Sur la base de la technologie, le marché irakien de l’intelligence artificielle est segmenté en apprentissage automatique, apprentissage profond, vision par ordinateur, traitement du langage naturel (NLP), reconnaissance vocale, traitement d’images et informatique contextuelle.
Application
- Assistants virtuels/Chatbots
- Prévisions et modélisation
- Analyse de texte
- Analyse de la parole
- Maintenance prédictive
- Autres
Sur la base des applications, le marché irakien de l'intelligence artificielle est segmenté en assistants virtuels/chatbots, prévisions et modélisation, analyse de texte, analyse de la parole, maintenance prédictive et autres.
Utilisateur final
- Fabrication
- Vente au détail
- Soins de santé
- Sécurité
- Automobile
- Aérospatial
- Commercialisation
- Construction
- Télécommunication
- Défense
- Pétrole et gaz
- Banque et Finance
- Loi
- Automatisation des bâtiments
- Médias et divertissement
- Ressources humaines
- Chaîne d'approvisionnement
- Alimentation et boissons
- Jeux
- Agriculture
- Produits de consommation
- Éducation
- Divertissement
- Autres
Sur la base de l'utilisateur final, le marché irakien de l'intelligence artificielle est segmenté en fabrication, vente au détail, soins de santé, sécurité, automobile, aérospatiale, marketing, construction, télécommunications, défense, pétrole et gaz, banque et finance, droit, automatisation des bâtiments, médias et divertissement, ressources humaines, chaîne d'approvisionnement, alimentation et boissons, jeux, agriculture, produits de consommation, éducation, divertissement, autres.
Analyse du paysage concurrentiel et des parts de marché de l'intelligence artificielle en Irak
Le paysage concurrentiel du marché irakien de l'intelligence artificielle fournit des détails par concurrent. Les détails inclus sont la présentation de l'entreprise, les finances de l'entreprise, les revenus générés, le potentiel du marché, les investissements dans la recherche et le développement, les nouvelles initiatives du marché, la présence régionale, les sites et installations de production, les capacités de production, les forces et les faiblesses de l'entreprise, le lancement du produit, la largeur et l'étendue du produit, la domination des applications. Les points de données ci-dessus fournis ne concernent que l'orientation des entreprises liées au marché irakien de l'intelligence artificielle.
Français Certains des principaux acteurs opérant sur le marché irakien de l'intelligence artificielle sont NVIDIA Corporation, Intel Corporation, IBM Corporation, Cisco Systems, Inc., Amazon Web Services, Inc. (filiale d'Amazon.com, Inc.), Google (une filiale d'Alphabet Inc.), QlikTech International AB, MICROSTRATEGY INCORPORATED, Twerlo, CBOT, WideBot, Inc, DilenyTech, Siemens, SAMSUNG ELECTRONICS CO., LTD., Meta, Oracle, SAP SE, Salesforce, Inc., SAS Institute Inc., Baidu, Inc., Hyperlink InfoSystem, CSP Solution, DECE Software Inc., Rockwell Automation, Inc., Yesil Science Teknoloji Ltd. Sti., Microsoft, Huawei Technologies Co., Ltd., entre autres.
SKU-
Accédez en ligne au rapport sur le premier cloud mondial de veille économique
- Tableau de bord d'analyse de données interactif
- Tableau de bord d'analyse d'entreprise pour les opportunités à fort potentiel de croissance
- Accès d'analyste de recherche pour la personnalisation et les requêtes
- Analyse de la concurrence avec tableau de bord interactif
- Dernières actualités, mises à jour et analyse des tendances
- Exploitez la puissance de l'analyse comparative pour un suivi complet de la concurrence
Table des matières
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF IRAQ ARTIFICIAL INTELLIGENCE MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 YEARS CONSIDERED FOR THE STUDY
2.3 GEOGRAPHIC SCOPE
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 MARKET END-USER COVERAGE GRID
2.9 MULTIVARIATE MODELLING
2.1 COMPONENTS CURVE
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 PORTER'S FIVE FORCES MODEL
4.2 REGULATORY STANDARD
4.3 PESTEL ANALYSIS
4.3.1 POLITICAL FACTORS:
4.3.2 ECONOMIC FACTORS:
4.3.3 SOCIAL FACTORS:
4.3.4 TECHNOLOGICAL FACTORS:
4.3.5 ENVIRONMENTAL FACTORS:
4.3.6 LEGAL FACTORS:
4.4 CASE STUDY
4.4.1 AI/ML ENGINE THAT PREDICTS SPOT-MARKET BROKING RELATED MARKET PRICE FOR TRANSPORTATION AND LOGISTICS LEADER
4.4.2 INTELLIGENT GASOLINE DEMAND ANALYTICS: A CASE STUDY OF SAUDI ARABIA
4.4.3 RELIABILITY AND SECURITY ANALYSIS OF ARTIFICIAL INTELLIGENCE-BASED SELF-DRIVING TECHNOLOGIES IN SAUDI ARABIA: A CASE STUDY OF OPENPILOT
4.5 INVESTMENT POLICY
5 SUMMARY WRITE-UP (IRAQ)
5.1 OVERVIEW
6 MARKET OVERVIEW
6.1 DRIVERS
6.1.1 GROWING INVESTMENTS IN ARTIFICIAL INTELLIGENCE SYSTEMS
6.1.2 MAJORITY OF APPLICATIONS OF ARTIFICIAL INTELLIGENCE ACROSS DIFFERENT SECTORS SUCH AS HEALTHCARE, BFSI, ECOMMERCE, AND RETAIL
6.1.3 RISE IN DEMAND FOR INTELLIGENT SYSTEMS
6.1.4 RISING ADOPTION OF CLOUD TECHNOLOGY
6.1.5 INCREASING DIGITIZATION AND AUTOMATION OF BUSINESS PROCESSES
6.2 RESTRAINTS
6.2.1 HIGH IMPLEMENTATION COST OF ARTIFICIAL INTELLIGENCE (AI) SOLUTIONS
6.2.2 LACK OF TECHNICAL EXPERTISE
6.3 OPPORTUNITIES
6.3.1 INCREASING INDUSTRY 4.0 TRENDS
6.3.2 GROWING USAGE OF THE INTERNET OF THINGS (IOT)
6.3.3 HEAVY INVESTMENTS BY THE TECH GIANTS IN THE RESEARCH AND DEVELOPMENT
6.3.4 INCREASING GROWTH IN EXPANSION AND STRATEGIC DECISIONS MADE BY MARKET PLAYERS
6.4 CHALLENGES
6.4.1 DATA SECURITY AND PRIVACY CONCERNS
6.4.2 STRINGENT DATA REGULATION IMPOSED BY GOVERNMENT
7 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY COMPONENT
7.1 OVERVIEW
7.2 HARDWARE
7.2.1 PROCESSOR
7.3 SOFTWARE
7.3.1 PLATFORM
7.4 SERVICES
7.4.1 PROFESSIONAL SERVICES
8 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY TYPE
8.1 OVERVIEW
8.2 GENERAL/STRONG AI
8.3 NARROW/WEEK AI
9 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM ENTERPRISES
10 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
10.1 OVERVIEW
10.2 MACHINE LEARNING
10.3 DEEP LEARNING
10.4 COMPUTER VISION
10.5 NATURAL LANGUAGE PROCESSING (NLP)
10.6 SPEECH RECOGNITION
10.7 IMAGE PROCESSING
10.8 CONTEXT-AWARE COMPUTING
11 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION
11.1 OVERVIEW
11.2 VIRTUAL ASSISTANTS/CHABOT'S
11.3 FORECASTS AND MODELLING
11.4 TEXT ANALYTICS
11.5 SPEECH ANALYTICS
11.6 PREDICTIVE MAINTENANCE
11.7 OTHERS
12 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY END USER
12.1 OVERVIEW
12.2 MANUFACTURING
12.3 RETAIL
12.4 HEALTHCARE
12.5 SECURITY
12.6 AUTOMOTIVE
12.7 AEROSPACE
12.8 MARKETING
12.9 CONSTRUCTION
12.1 TELECOMMUNICATION
12.11 DEFENSE
12.12 OIL AND GAS
12.13 BANKING AND FINANCE
12.14 LAW
12.15 BUILDING AUTOMATION
12.16 MEDIA AND ENTERTAINMENT
12.17 HUMAN RESOURCE
12.18 SUPPLY CHAIN
12.19 FOOD AND BEVERAGE
12.2 GAMING
12.21 AGRICULTURE
12.22 CONSUMER PRODUCTS
12.23 EDUCATION
12.24 ENTERTAINMENT
12.25 OTHERS
13 IRAQ ARTIFICIAL INTELLIGENCE MARKET, COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: IRAQ
14 SWOT ANALYSIS
15 COMPANY PROFILE
15.1 META
15.1.1 COMPANY SNAPSHOT
15.1.2 REVENUE ANALYSIS
15.1.3 PRODUCT PORTFOLIO
15.1.4 RECENT DEVELOPMENTS
15.2 AMAZON WEB SERVICES, INC
15.2.1 COMPANY SNAPSHOT
15.2.2 REVENUE ANALYSIS
15.2.3 PRODUCT PORTFOLIO
15.2.4 RECENT DEVELOPMENTS
15.3 MICROSOFT
15.3.1 COMPANY SNAPSHOT
15.3.2 REVENUE ANALYSIS
15.3.3 PRODUCT PORTFOLIO
15.3.4 RECENT DEVELOPMENTS
15.4 SAMSUNG ELECTRONICS CO., LTD.
15.4.1 COMPANY SNAPSHOT
15.4.2 REVENUE ANALYSIS
15.4.3 PRODUCT PORTFOLIO
15.4.4 RECENT DEVELOPMENTS
15.5 IBM CORPORATION
15.5.1 COMPANY SNAPSHOT
15.5.2 REVENUE ANALYSIS
15.5.3 PRODUCTS PORTFOLIO
15.5.4 RECENT DEVELOPMENTS
15.6 GOOGLE (A SUBSIDIARY OF ALPHABET INC.)
15.6.1 COMPANY SNAPSHOT
15.6.2 PRODUCT PORTFOLIO
15.6.3 RECENT DEVELOPMENT
15.7 BAIDU, INC.
15.7.1 COMPANY SNAPSHOT
15.7.2 REVENUE ANALYSIS
15.7.3 PRODUCT PORTFOLIO
15.7.4 RECENT DEVELOPMENT
15.8 CBOT
15.8.1 COMPANY SNAPSHOT
15.8.2 PRODUCT PORTFOLIO
15.8.3 RECENT DEVELOPMENTS
15.9 CISCO SYSTEMS, INC.
15.9.1 COMPANY SNAPSHOT
15.9.2 REVENUE ANALYSIS
15.9.3 SOLUTION PORTFOLIO
15.9.4 RECENT DEVELOPMENTS
15.1 CSP SOLUTION
15.10.1 COMPANY SNAPSHOT
15.10.2 PRODUCTS PORTFOLIO
15.10.3 RECENT DEVELOPMENTS
15.11 DECE SOFTWARE INC.
15.11.1 COMPANY SNAPSHOT
15.11.2 SOLUTION PORTFOLIO
15.11.3 RECENT DEVELOPMENTS
15.12 DILENYTECH
15.12.1 COMPANY SNAPSHOT
15.12.2 PRODUCT PORTFOLIO
15.12.3 RECENT DEVELOPMENTS
15.13 HUAWEI TECHNOLOGIES CO., LTD.
15.13.1 COMPANY SNAPSHOT
15.13.2 PRODUCT PORTFOLIO
15.13.3 RECENT DEVELOPMENTS
15.14 HYPERLINK INFOSYSTEM
15.14.1 COMPANY SNAPSHOT
15.14.2 SERVICE PORTFOLIO
15.14.3 RECENT DEVELOPMENTS
15.15 INTEL CORPORATION
15.15.1 COMPANY SNAPSHOT
15.15.2 REVENUE ANALYSIS
15.15.3 SOLUTION PORTFOLIO
15.15.4 RECENT DEVELOPMENTS
15.16 MICROSTRATEGY INCORPORATED
15.16.1 COMPANY SNAPSHOT
15.16.2 REVENUE ANALYSIS
15.16.3 PRODUCT PORTFOLIO
15.16.4 RECENT DEVELOPMENTS
15.17 NUANCE COMMUNICATIONS, INC.
15.17.1 COMPANY SNAPSHOT
15.17.2 REVENUE ANALYSIS
15.17.3 PRODUCT PORTFOLIO
15.17.4 RECENT DEVELOPMENTS
15.18 NVIDIA CORPORATION
15.18.1 COMPANY SNAPSHOT
15.18.2 REVENUE ANALYSIS
15.18.3 SOLUTION PORTFOLIO
15.18.4 RECENT DEVELOPMENTS
15.19 ORACLE
15.19.1 COMPANY SNAPSHOT
15.19.2 REVENUE ANALYSIS
15.19.3 SERVICE PORTFOLIO
15.19.4 RECENT DEVELOPMENT
15.2 QLIKTECH INTERNATIONAL AB
15.20.1 COMPANY SNAPSHOT
15.20.2 PRODUCT PORTFOLIO
15.20.3 RECENT DEVELOPMENTS
15.21 ROCKWELL AUTOMATION, INC.
15.21.1 COMPANY SNAPSHOT
15.21.2 REVENUE ANALYSIS
15.21.3 PRODUCT PORTFOLIO
15.21.4 RECENT DEVELOPMENT
15.22 SALESFORCE, INC.
15.22.1 COMPANY SNAPSHOT
15.22.2 REVENUE ANALYSIS
15.22.3 PRODUCT PORTFOLIO
15.22.4 RECENT DEVELOPMENT
15.23 SAP SE
15.23.1 COMPANY SNAPSHOT
15.23.2 REVENUE ANALYSIS
15.23.3 PRODUCT PORTFOLIO
15.23.4 RECENT DEVELOPMENTS
15.24 SAS INSTITUTE INC.
15.24.1 COMPANY SNAPSHOT
15.24.2 SOLUTION PORTFOLIO
15.24.3 RECENT DEVELOPMENT
15.25 SIEMENS
15.25.1 COMPANY SNAPSHOT
15.25.2 REVENUE ANALYSIS
15.25.3 PRODUCT PORTFOLIO
15.25.4 RECENT DEVELOPMENTS
15.26 TWERLO
15.26.1 COMPANY SNAPSHOT
15.26.2 PRODUCT PORTFOLIO
15.26.3 RECENT DEVELOPMENTS
15.27 WIDEBOT, INC
15.27.1 COMPANY SNAPSHOT
15.27.2 PRODUCT PORTFOLIO
15.27.3 RECENT DEVELOPMENTS
15.28 YESIL SCIENCE TEKNOLOJI LTD. STI.
15.28.1 COMPANY SNAPSHOT
15.28.2 PRODUCT PORTFOLIO
15.28.3 RECENT DEVELOPMENTS
16 QUESTIONNAIRE
17 RELATED REPORTS
Liste des tableaux
TABLE 1 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2020-2029 (USD MILLION)
TABLE 2 IRAQ HARDWARE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 3 IRAQ PROCESSOR IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 4 IRAQ PLATFORM IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 5 IRAQ SOLUTION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 6 IRAQ SERVICES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 7 IRAQ PROFESSIONAL SERVICES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 8 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2020-2029 (USD MILLION)
TABLE 9 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2020-2029 (USD MILLION)
TABLE 10 IRAQ MACHINE LEARNING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 11 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 12 IRAQ ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2020-2029 (USD MILLION)
TABLE 13 IRAQ MANUFACTURING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 14 IRAQ RETAIL IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 15 IRAQ HEALTHCARE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 16 IRAQ SECURITY IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 17 IRAQ AUTOMOTIVE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 18 IRAQ AEROSPACE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2020-2029 (USD MILLION)
TABLE 19 IRAQ MARKETING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 20 IRAQ CONSTRUCTION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 21 IRAQ TELECOMMUNICATION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 22 IRAQ DEFENSE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 23 IRAQ OIL AND GAS IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 24 IRAQ BANKING AND FINANCE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 25 IRAQ LAW IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 26 IRAQ HUMAN RESOURCES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 27 IRAQ SUPPLY CHAIN IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 28 IRAQ AGRICULTURE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
Liste des figures
FIGURE 1 IRAQ ARTIFICIAL INTELLIGENCE MARKET: SEGMENTATION
FIGURE 2 IRAQ ARTIFICIAL INTELLIGENCE MARKET: DATA TRIANGULATION
FIGURE 3 IRAQ ARTIFICIAL INTELLIGENCE MARKET: DROC ANALYSIS
FIGURE 4 IRAQ, ARTIFICIAL INTELLIGENCE MARKET: COUNTRY MARKET ANALYSIS
FIGURE 5 IRAQ ARTIFICIAL INTELLIGENCE MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 IRAQ ARTIFICIAL INTELLIGENCE MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 IRAQ ARTIFICIAL INTELLIGENCE MARKET: DBMR MARKET POSITION GRID
FIGURE 8 IRAQ ARTIFICIAL INTELLIGENCE MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 IRAQ ARTIFICIAL INTELLIGENCE MARKET: MARKET END-USER COVERAGE GRID
FIGURE 10 IRAQ ARTIFICIAL INTELLIGENCE MARKET: SEGMENTATION
FIGURE 11 RISING INFRASTRUCTURE DEVELOPMENT IS EXPECTED TO BE A KEY DRIVER OF THE MARKET FOR IRAQ ARTIFICIAL INTELLIGENCE MARKET IN THE FORECAST PERIOD
FIGURE 12 HARDWARE SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE IRAQ ARTIFICIAL INTELLIGENCE MARKET IN 2022 & 2029
FIGURE 13 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF IRAQ ARTIFICIAL INTELLIGENCE MARKET
FIGURE 14 CONTRIBUTION OF AI TO MIDDLE EAST GDP BY INDUSTRY, FORECASTED 2030
FIGURE 15 R&D INVESTMENT EXPENDITURE, 2020
FIGURE 16 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY COMPONENT, 2021
FIGURE 17 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY TYPE, 2021
FIGURE 18 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY ORGANIZATION SIZE, 2021
FIGURE 19 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY TECHNOLOGY, 2021
FIGURE 20 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY APPLICATION, 2021
FIGURE 21 IRAQ ARTIFICIAL INTELLIGENCE MARKET: BY END USER, 2021
FIGURE 22 IRAQ ARTIFICIAL INTELLIGENCE 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.
