>이라크 인공지능 시장, 구성요소(하드웨어, 소프트웨어, 서비스), 유형(일반/강력한 AI, 좁은/약한 AI), 조직 규모(대기업, 중소기업), 기술(머신 러닝, 딥 러닝, 컴퓨터 비전, 자연어 처리(NLP), 음성 인식, 이미지 처리, 상황 인식 컴퓨팅), 애플리케이션(가상 비서/챗봇, 예측 및 모델링, 텍스트 분석, 음성 분석, 예측 유지 관리 및 기타), 최종 사용자(제조, 소매, 의료, 보안, 자동차, 항공 우주, 마케팅, 건설, 통신, 방위, 석유 및 가스, 은행 및 금융, 법률, 빌딩 자동화 , 미디어 및 엔터테인먼트, 인적 자원, 공급망, 식음료, 게임, 농업, 소비재, 교육, 엔터테인먼트, 기타) - 산업 동향 및 2029년까지의 예측.
이라크 인공지능 시장 분석 및 규모
인공 지능은 모든 리소스가 올바르게 작동하고 올바른 위치에서 작동하도록 보장하여 데이터 관리, 원활한 흐름 및 보안에 사용됩니다. 예측, 일정, 기술 관리, 리소스 관리, 처리 및 컴퓨팅, 데이터 분류는 모두 인공 지능의 일반적인 측면입니다. 인공 지능 기술의 발전과 스마트 시스템으로의 점진적인 전환으로 이라크 인공 지능 시장은 미래에 붐을 일으킬 것입니다. 인공 지능 시스템에 대한 투자 증가는 주로 이라크 인공 지능 시장을 주도합니다. 또한 지능형 시스템에 대한 수요 증가로 인해 시장이 빠르게 성장하고 있습니다. 그러나 인공 지능(AI) 솔루션의 높은 구현 비용은 시장 성장에 영향을 미치는 주요 제한 요소입니다. 또한 산업 4.0 추세가 증가함에 따라 이라크 인공 지능 시장에 수익성 있는 기회가 제공됩니다.
Data Bridge Market Research는 이라크 인공지능 시장이 2029년까지 1,582.04백만 달러 규모에 도달할 것으로 예상하며, 예측 기간 동안 CAGR은 12.7%가 될 것으로 분석했습니다. "하드웨어"는 이라크 인공지능 시장에서 가장 큰 구성 요소 세그먼트를 차지하며, 다양한 플랫폼에서 기본적인 기능과 광범위한 기능을 제공합니다.
보고서 메트릭 |
세부 |
예측 기간 |
2022년부터 2029년까지 |
기준 연도 |
2021 |
역사적 연도 |
2020 (2019-2014로 사용자 정의 가능) |
양적 단위 |
수익은 백만 달러, 가격은 미화로 표시됨 |
다루는 세그먼트 |
구성 요소(하드웨어, 소프트웨어, 서비스), 유형(일반/강력한 AI, 협소/약한 AI), 조직 규모(대기업, 중소기업), 기술(머신 러닝, 딥 러닝, 컴퓨터 비전, 자연어 처리(NLP), 음성 인식, 이미지 처리, 컨텍스트 인식 컴퓨팅), 애플리케이션(가상 비서/챗봇, 예측 및 모델링, 텍스트 분석, 음성 분석, 예측 유지 관리 및 기타), 최종 사용자(제조, 소매, 의료, 보안, 자동차, 항공우주, 마케팅, 건설, 통신, 국방, 석유 및 가스, 은행 및 금융, 법률, 빌딩 자동화, 미디어 및 엔터테인먼트, 인적 자원, 공급망, 식품 및 음료, 게임, 농업, 소비재, 교육, 엔터테인먼트, 기타) |
국가 커버 |
이라크 |
시장 참여자 포함 |
NVIDIA Corporation, Intel Corporation, IBM Corporation, Cisco Systems, Inc., Amazon Web Services, Inc. (Amazon.com, Inc. 자회사), Google (Alphabet Inc. 자회사), 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. 등 |
시장 정의
인공 지능은 컴퓨터 과학과 강력한 데이터 세트를 결합하여 문제 해결을 가능하게 하는 분야입니다. 또한 인공 지능과 함께 자주 언급되는 머신 러닝과 딥 러닝의 하위 분야도 포함합니다. 이러한 분야는 입력 데이터를 기반으로 예측이나 분류를 수행하는 전문가 시스템을 만들려는 AI 알고리즘으로 구성됩니다.
인공 지능은 약한 AI와 강한 AI로 분류할 수 있습니다. 약한 AI는 좁은 AI 또는 인공 좁은 지능(ANI)이라고도 하며, 특정 작업을 수행하는 데 집중하여 훈련된 AI입니다. 약한 AI는 오늘날 우리를 둘러싼 대부분의 AI를 주도합니다. '좁은'이라는 표현이 이 유형의 AI에 더 정확한 설명일 수 있는데, 약한 AI와는 거리가 멀기 때문입니다. Apple의 Siri, Amazon의 Alexa, IBM Watson, 자율 주행차와 같이 매우 강력한 애플리케이션을 가능하게 합니다. 강한 AI는 인공 일반 지능(AGI)과 인공 초 지능(ASI)으로 구성됩니다. 인공 일반 지능(AGI) 또는 일반 AI는 기계가 인간과 동등한 지능을 갖는 이론적 형태의 AI입니다. 문제를 해결하고, 학습하고, 미래를 계획할 수 있는 자기 인식 의식을 갖게 됩니다.
이라크 인공지능 시장 동향
이 섹션에서는 시장 동인, 이점, 기회, 제약 및 과제를 이해하는 것을 다룹니다. 이 모든 내용은 아래와 같이 자세히 논의됩니다.
운전자
- 인공지능 시스템에 대한 투자 증가
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
- General/Strong AI,
- Narrow/Weak AI
On the basis of type, the Iraq artificial intelligence market is segmented into ggeneral/strong AI, narrow/weak AI.
Organization Size
- Large Enterprises
- Small Enterprises
- Medium-Sized Enterprises
On the basis of organization size, the Iraq artificial intelligence market is segmented into 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
On the basis of technology, the Iraq artificial intelligence market is segmented into machine learning, deep learning, computer vision, natural language processing (NLP), speech recognition, image processing, and context-aware computing.
Application
- Virtual Assistants/Chatbots
- Forecasts and Modelling
- Text Analytics
- Speech Analytics
- Predictive Maintenance
- Others
On the basis of application, the Iraq artificial intelligence market is segmented into virtual assistants/chatbots, forecasts and modelling, 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
On the basis of end user, the Iraq artificial intelligence market is segmented into 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.
Competitive Landscape and Iraq Artificial Intelligence Market Share Analysis
The Iraq artificial intelligence market competitive landscape provides details by the competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, region presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to the Iraq artificial intelligence market.
이라크 인공지능 시장의 주요 기업으로는 NVIDIA Corporation, Intel Corporation, IBM Corporation, Cisco Systems, Inc., Amazon Web Services, Inc.(Amazon.com, Inc.의 자회사), Google(Alphabet Inc.의 자회사), 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. 등이 있습니다.
SKU-
세계 최초의 시장 정보 클라우드 보고서에 온라인으로 접속하세요
- 대화형 데이터 분석 대시보드
- 높은 성장 잠재력 기회를 위한 회사 분석 대시보드
- 사용자 정의 및 질의를 위한 리서치 분석가 액세스
- 대화형 대시보드를 통한 경쟁자 분석
- 최신 뉴스, 업데이트 및 추세 분석
- 포괄적인 경쟁자 추적을 위한 벤치마크 분석의 힘 활용
목차
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
표 목록
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)
그림 목록
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 (%)
연구 방법론
데이터 수집 및 기준 연도 분석은 대규모 샘플 크기의 데이터 수집 모듈을 사용하여 수행됩니다. 이 단계에는 다양한 소스와 전략을 통해 시장 정보 또는 관련 데이터를 얻는 것이 포함됩니다. 여기에는 과거에 수집한 모든 데이터를 미리 검토하고 계획하는 것이 포함됩니다. 또한 다양한 정보 소스에서 발견되는 정보 불일치를 검토하는 것도 포함됩니다. 시장 데이터는 시장 통계 및 일관된 모델을 사용하여 분석하고 추정합니다. 또한 시장 점유율 분석 및 주요 추세 분석은 시장 보고서의 주요 성공 요인입니다. 자세한 내용은 분석가에게 전화를 요청하거나 문의 사항을 드롭하세요.
DBMR 연구팀에서 사용하는 주요 연구 방법론은 데이터 마이닝, 시장에 대한 데이터 변수의 영향 분석 및 주요(산업 전문가) 검증을 포함하는 데이터 삼각 측량입니다. 데이터 모델에는 공급업체 포지셔닝 그리드, 시장 타임라인 분석, 시장 개요 및 가이드, 회사 포지셔닝 그리드, 특허 분석, 가격 분석, 회사 시장 점유율 분석, 측정 기준, 글로벌 대 지역 및 공급업체 점유율 분석이 포함됩니다. 연구 방법론에 대해 자세히 알아보려면 문의를 통해 업계 전문가에게 문의하세요.
사용자 정의 가능
Data Bridge Market Research는 고급 형성 연구 분야의 선두 주자입니다. 저희는 기존 및 신규 고객에게 목표에 맞는 데이터와 분석을 제공하는 데 자부심을 느낍니다. 보고서는 추가 국가에 대한 시장 이해(국가 목록 요청), 임상 시험 결과 데이터, 문헌 검토, 재생 시장 및 제품 기반 분석을 포함하도록 사용자 정의할 수 있습니다. 기술 기반 분석에서 시장 포트폴리오 전략에 이르기까지 타겟 경쟁업체의 시장 분석을 분석할 수 있습니다. 귀하가 원하는 형식과 데이터 스타일로 필요한 만큼 많은 경쟁자를 추가할 수 있습니다. 저희 분석가 팀은 또한 원시 엑셀 파일 피벗 테이블(팩트북)로 데이터를 제공하거나 보고서에서 사용 가능한 데이터 세트에서 프레젠테이션을 만드는 데 도움을 줄 수 있습니다.