土耳其人工智能市场,按组件(硬件、软件、服务)、类型(通用/强人工智能、狭义/弱人工智能)、组织规模(大型企业、中小型企业)、技术(机器学习、深度学习、计算机视觉、自然语言处理 (NLP)、语音识别、图像处理、上下文感知计算)、应用(虚拟助手/聊天机器人、预测和建模、文本分析、语音分析、预测性维护等)、最终用户(制造、零售、医疗保健、安全、汽车、航空航天、市场营销、建筑、电信、国防、石油和天然气、银行和金融、法律、楼宇自动化、媒体和娱乐、人力资源、供应链、食品和饮料、游戏、农业、消费品、教育、娱乐、其他)划分 - 行业趋势和预测到 2029 年。
土耳其人工智能市场分析及规模
人工智能用于数据管理、顺畅流动和安全性,确保所有资源正常工作并处于正确的位置。预测、调度、技能管理、资源管理、处理和计算以及对数据进行分类都是人工智能的常见方面。随着人工智能技术的进步和向智能系统的逐步转变,土耳其人工智能市场将在未来蓬勃发展。对人工智能系统的投资不断增长是土耳其人工智能市场的主要推动力。此外,对智能系统的需求增长正在推动市场快速增长。然而,人工智能 (AI) 解决方案的高实施成本是影响市场增长的主要制约因素。此外,工业 4.0趋势的增加为土耳其人工智能市场提供了有利可图的机会。
Data Bridge Market Research 分析,预计到 2029 年,土耳其人工智能市场价值将达到 21.9711 亿美元,预测期内复合年增长率为 13.1%。“硬件”是土耳其人工智能市场最大的零部件部分,为不同平台提供基本设施和各种功能。
报告指标 |
细节 |
预测期 |
2022 至 2029 年 |
基准年 |
2021 |
历史岁月 |
2020 (可定制至 2019-2014) |
定量单位 |
收入(百万美元),定价(美元) |
涵盖的领域 |
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 |
Turkey |
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.
Turkey Artificial Intelligence Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail 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 catalyzed. This development will enhance the presence of SAP in the region
Turkey Artificial Intelligence Market Scope
Turkey 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 Turkey artificial intelligence market is segmented into hardware, software and services.
Type
- General/Strong AI,
- Narrow/Weak AI
On the basis of type, the Turkey artificial intelligence market is segmented into general/strong AI, narrow/weak AI.
Organization Size
- Large Enterprises
- Small Enterprises
- Medium-Sized Enterprises
On the basis of organization size, the Turkey 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 Turkey 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 Turkey artificial intelligence market is segmented into virtual assistants/chatbots, forecasts and modelling, text analytics, speech analytics, predictive maintenance, 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 Turkey 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 Turkey Artificial Intelligence Market Share Analysis
The Turkey 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 Turkey artificial intelligence market.
土耳其人工智能市场的一些主要参与者包括 NVIDIA Corporation、英特尔 Corporation、IBM Corporation、思科系统公司、亚马逊网络服务公司(Amazon Web Services, Inc.(Amazon.com, Inc. 的子公司)、谷歌(Alphabet Inc. 的子公司)、QlikTech International AB、MICROSTRATEGY INCORPORATED、Twerlo、CBOT、WideBot, Inc、DilenyTech、西门子、三星电子有限公司、Meta、甲骨文、SAP SE、Salesforce, Inc.、SAS Institute Inc.、百度公司、Hyperlink InfoSystem、CSP Solution、DECE Software Inc.、罗克韦尔自动化公司、Yesil Science Teknoloji Ltd. Sti.、微软、华为技术有限公司等。
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目录
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF TURKEY 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 (TURKEY)
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 TURKEY 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 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY TYPE
8.1 OVERVIEW
8.2 GENERAL/STRONG AI
8.3 NARROW/WEEK AI
9 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 LARGE ENTERPRISES
9.3 SMALL AND MEDIUM ENTERPRISES
10 TURKEY 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 TURKEY 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 TURKEY 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 TURKEY ARTIFICIAL INTELLIGENCE MARKET, COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: TURKEY
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
表格列表
TABLE 1 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2020-2029 (USD MILLION)
TABLE 2 TURKEY HARDWARE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 3 TURKEY PROCESSOR IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 4 TURKEY SOFTWARE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 5 TURKEY PLATFORM IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 6 TURKEY SOLUTION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 7 TURKEY SERVICES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 8 TURKEY PROFESSIONAL SERVICES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 9 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 10 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2020-2029 (USD MILLION)
TABLE 11 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020-2029 (USD MILLION)
TABLE 12 TURKEY MACHINE LEARNING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 13 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY APPLICATION, 2020-2029 (USD MILLION)
TABLE 14 TURKEY ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2020-2029 (USD MILLION)
TABLE 15 TURKEY MANUFACTURING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 16 TURKEY RETAIL IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 17 TURKEY HEALTHCARE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 18 TURKEY SECURITY IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 19 TURKEY AUTOMOTIVE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 20 TURKEY AEROSPACE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE 2020-2029 (USD MILLION)
TABLE 21 TURKEY MARKETING IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 22 TURKEY CONSTRUCTION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 23 TURKEY TELECOMMUNICATION IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 24 TURKEY DEFENSE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 25 TURKEY OIL AND GAS IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 26 TURKEY BANKING AND FINANCE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 27 TURKEY LAW IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 28 TURKEY HUMAN RESOURCES IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 29 TURKEY SUPPLY CHAIN IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
TABLE 30 TURKEY AGRICULTURE IN ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2020-2029 (USD MILLION)
图片列表
FIGURE 1 TURKEY ARTIFICIAL INTELLIGENCE MARKET: SEGMENTATION
FIGURE 2 TURKEY ARTIFICIAL INTELLIGENCE MARKET: DATA TRIANGULATION
FIGURE 3 TURKEY ARTIFICIAL INTELLIGENCE MARKET: DROC ANALYSIS
FIGURE 4 TURKEY ARTIFICIAL INTELLIGENCE MARKET: COUNTRY MARKET ANALYSIS
FIGURE 5 TURKEY ARTIFICIAL INTELLIGENCE MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 TURKEY ARTIFICIAL INTELLIGENCE MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 TURKEY ARTIFICIAL INTELLIGENCE MARKET: DBMR MARKET POSITION GRID
FIGURE 8 TURKEY ARTIFICIAL INTELLIGENCE MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 TURKEY ARTIFICIAL INTELLIGENCE MARKET: MARKET END-USER COVERAGE GRID
FIGURE 10 TURKEY ARTIFICIAL INTELLIGENCE MARKET: SEGMENTATION
FIGURE 11 RISING INFRASTRUCTURE DEVELOPMENT IS EXPECTED TO BE A KEY DRIVER OF THE MARKET FOR TURKEY ARTIFICIAL INTELLIGENCE MARKET IN THE FORECAST PERIOD
FIGURE 12 HARDWARE SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE TURKEY ARTIFICIAL INTELLIGENCE MARKET IN 2022 & 2029
FIGURE 13 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF TURKEY 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 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY COMPONENT, 2021
FIGURE 17 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY TYPE, 2021
FIGURE 18 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY ORGANIZATION SIZE, 2021
FIGURE 19 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY TECHNOLOGY, 2021
FIGURE 20 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY APPLICATION, 2021
FIGURE 21 TURKEY ARTIFICIAL INTELLIGENCE MARKET: BY END USER, 2021
FIGURE 22 TURKEY ARTIFICIAL INTELLIGENCE MARKET: COMPANY SHARE 2021 (%)
研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
可定制
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