터키 인공지능 시장 – 2029년까지의 산업 동향 및 예측

터키 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 터키 인공 지능 시장은 미래에 붐을 일으킬 것입니다. 인공 지능 시스템에 대한 투자 증가는 주로 터키 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 터키 인공 지능 시장에 수익성 있는 기회가 제공됩니다.

Data Bridge Market Research는 터키 인공지능 시장이 2029년까지 2,197.11백만 달러 규모에 도달할 것으로 예상하며, 예측 기간 동안 CAGR은 13.1%라고 분석했습니다. "하드웨어"는 터키 인공지능 시장에서 가장 큰 구성 요소 세그먼트를 차지하며, 다양한 플랫폼에서 기본적인 기능과 광범위한 기능을 제공합니다.     

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

• 일반/강력한 AI,
• 좁은/약한 AI

터키 인공지능 시장은 유형을 기준으로 일반/강력한 AI, 좁은/약한 AI로 구분됩니다.

조직 규모

• 대기업
• 소규모 기업
• 중소기업

터키 인공지능 시장은 조직 규모를 기준으로 대기업, 중소기업으로 구분됩니다.

기술

• 머신러닝
• 딥러닝
• 컴퓨터 비전
• 자연어 처리(NLP)
• 음성 인식
• 이미지 처리
• 컨텍스트 인식 컴퓨팅

터키 인공지능 시장은 기술을 기준으로 머신 러닝, 딥 러닝, 컴퓨터 비전, 자연어 처리(NLP), 음성 인식, 이미지 처리, 상황 인식 컴퓨팅으로 구분됩니다.

애플리케이션

• 가상 비서/챗봇
• 예측 및 모델링
• 텍스트 분석
• 음성 분석
• 예측 유지 관리
• 기타

터키 인공지능 시장은 응용 분야별로 가상 비서/챗봇, 예측 및 모델링, 텍스트 분석, 음성 분석, 예측 유지 관리 등으로 구분됩니다.

최종 사용자

• 조작
• 소매
• 헬스케어
• 보안
• 자동차
• 항공우주
• 마케팅
• 건설
• 통신
•  방어
• 석유 및 가스
• 은행 및 금융
• 법
• 빌딩 자동화
• 미디어 및 엔터테인먼트
• 인적자원
• 공급망
• 음식과 음료
• 노름
• 농업
• 소비자 제품
• 교육
• 오락
• 기타

터키 인공지능 시장은 최종 사용자 기준으로 제조, 소매, 의료, 보안, 자동차, 항공우주, 마케팅, 건설, 통신, 방위, 석유 및 가스, 은행 및 금융, 법률, 빌딩 자동화, 미디어 및 엔터테인먼트, 인적 자원, 공급망, 식품 및 음료, 게임, 농업, 소비재, 교육, 엔터테인먼트, 기타로 세분화됩니다.

경쟁 환경 및 터키 인공지능 시장 점유율 분석

터키 인공지능 시장 경쟁 구도는 경쟁자에 대한 세부 정보를 제공합니다. 포함된 세부 정보는 회사 개요, 회사 재무, 창출된 수익, 시장 잠재력, 연구 개발 투자, 새로운 시장 이니셔티브, 지역 입지, 생산 현장 및 시설, 생산 용량, 회사의 강점과 약점, 제품 출시, 제품 폭과 범위, 애플리케이션 우세입니다. 위에 제공된 데이터 포인트는 터키 인공지능 시장과 관련된 회사의 초점에만 관련이 있습니다.

터키 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-69069