The total share of enterprises using artificial intelligence in their operations increased from 2.7 percent in 2021 to 4.4 percent in 2024. The highest share of artificial intelligence usage was observed in large enterprises that employed 250 or more people, accounting for 22.3 percent as of 2024.

Turkey Artificial Intelligence Market By Offering, Size, Share, Trends, By Technology, By Deployment Mode, By Function, By Industry Vertical, By Region, Competition Forecast & Opportunities

In 2023, 28 percent of Turkish people used generative artificial intelligence once a week. Furthermore, a quarter of the survey participants used generative AI tools once a month. The share of people using GenAI once a day was only eight percent.

This statistic illustrates trust in artificial intelligence in Turkey in 2018. According to data published by IPSOS, there is a relatively high level of trust in artificial intelligence among the respondents in Turkey, at ** percent.

Forecast: Number of Scientific Publications in Artificial Intelligence in Turkey 2024 - 2028 Discover more data with ReportLinker!

The most pressing reason why enterprises in Turkey do not use artificial intelligence in their operations is lack of relevant expertise in the enterprise about artificial intelligence technologies as of 2024. It was followed by the high cost of the technology, with ** percent.

What’s Included

The Turkish Closed-Ended Question Answering Dataset is a meticulously curated collection of 5000 comprehensive Question-Answer pairs. It serves as a valuable resource for training Large Language Models (LLMs) and question-answering models in the Turkish language, advancing the field of artificial intelligence.

This closed-ended QA dataset comprises a diverse set of context paragraphs and questions paired with corresponding answers in Turkish. There is a context paragraph given for each question to get the answer from. The questions cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more.

Each question is accompanied by an answer, providing valuable information and insights to enhance the language model training process. Both the questions and answers were manually curated by native Turkish people, and references were taken from diverse sources like books, news articles, websites, web forums, and other reliable references.

This question-answer prompt completion dataset contains different types of prompts, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. The dataset also contains questions and answers with different types of rich text, including tables, code, JSON, etc., with proper markdown.

To ensure diversity, this Q&A dataset includes questions with varying complexity levels, ranging from easy to medium and hard. Different types of questions, such as multiple-choice, direct, and true/false, are included. The QA dataset also contains questions with constraints, which makes it even more useful for LLM training.

To accommodate varied learning experiences, the dataset incorporates different types of answer formats. These formats include single-word, short phrases, single sentences, and paragraphs types of answers. The answers contain text strings, numerical values, date and time formats as well. Such diversity strengthens the language model's ability to generate coherent and contextually appropriate answers.

This fully labeled Turkish Closed-Ended Question Answer Dataset is available in JSON and CSV formats. It includes annotation details such as a unique id, context paragraph, context reference link, question, question type, question complexity, question category, domain, prompt type, answer, answer type, and rich text presence.

The dataset upholds the highest standards of quality and accuracy. Each question undergoes careful validation, and the corresponding answers are thoroughly verified. To prioritize inclusivity, the dataset incorporates questions and answers representing diverse perspectives and writing styles, ensuring it remains unbiased and avoids perpetuating discrimination.

The Turkish versions is grammatically accurate without any spelling or grammatical errors. No toxic or harmful content is used while building this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Continuous efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to collect custom question-answer data tailored to specific needs, providing flexibility and customization options.

The dataset, created by FutureBeeAI, is now ready for commercial use. Researchers, data scientists, and developers can utilize this fully labeled and ready-to-deploy Turkish Closed-Ended Question Answer Dataset to enhance the language understanding capabilities of their generative AI models, improve response generation, and explore new approaches to NLP question-answering tasks.

In 2023, almost ********** of Turks used generative artificial intelligence for personal reasons. Additionally, nearly half of the survey participants used the generative AI tools for work.

OpenAI declared that GPT-4 performed better in academic and certain specialty areas. Medical licensing exams assess the clinical competence of doctors. We aimed to investigate for the first time howChatGPT will perform in the Turkish Neurology Proficiency Exam. TheGPT-4 version of ChatGPT was used in the study due to the presence ofimage-based questions. The multiple-choice sections of the TurkishNeurology Proficiency Exams conducted by the Turkish NeurologyAssociation (TND) in 2021, 2022 and 2023 were applied to ChatGPT-4.Questions and multiple-choice answers were used in their originalTurkish forms in the official national examination standards. The success rate in all three exams ranges from 79% to 82%. There were common and different mistakes in the two trials. When the incorrect answers were re-evaluated, the correct answers were obtained. This is the first study to investigate the performance of ChatGPT on the real Neurology Proficiency Examination. The success rate was shown to be above GPT-3.5. Furthermore, this study showed that translating questions from the original language into English did not affect the performance of GPT-4 in medical licensing exams, unlike GPT-3.5. It is therefore very important that the information obtained is accurate and verifiable. ChatGPT-4’s ability to find the correct answer with feedback on questions that it initially answered incorrectly may be due to the model’s ability to generate flexible and adaptive answers.These models should be used carefully and consciously, knowing that they will not always give the correct answer.

This study uses a multidimensional lens to examine social studies teachers' perceptions and competencies regarding artificial intelligence, encompassing ethics, awareness, use, and evaluation. A descriptive survey design was used to collect data from 176 teacher candidates enrolled in a social studies education program at a Turkish university. The descriptive analysis revealed that, while the candidates' artificial intelligence literacy levels were moderate, their evaluation levels were the highest (mean: 4.63), and their usage levels were the lowest (mean: 4.30). The correlational analysis revealed that the dimensions of awareness, ethics, usage, and evaluation are significantly related to each other. A significant relationship was found between teacher candidates' artificial intelligence literacy usage and evaluation dimension levels and the gender variable (p=0.03). However, no significant relationships were found between AI literacy (p = 0.07) or ethics (p = 0.13) and gender. A significant relationship was found between teacher candidates' artificial intelligence literacy usage, evaluation, and ethics dimension levels and their class level. However, no significant relationship was found between AI literacy awareness and the class variable (p=0.08). The study recommends incorporating AI-focused modules into teacher education curricula that emphasize hands-on workshops, ethical case discussions, and collaborative interdisciplinary education. The implications for policy and future longitudinal research are discussed.

The Turkish cybersecurity market, valued at approximately $X million in 2025 (estimated based on provided CAGR and market trends), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 9.02% from 2025 to 2033. This growth is fueled by several key factors. The increasing adoption of cloud technologies and digital transformation initiatives across various sectors, including BFSI, retail & e-commerce, and government, is driving demand for sophisticated cybersecurity solutions. Furthermore, the rising frequency and sophistication of cyberattacks targeting Turkish organizations are compelling businesses to invest heavily in robust security infrastructure and services. The market is segmented by offering (solutions and services), deployment (cloud and on-premise), and end-user industry, reflecting diverse needs across various sectors. While the presence of established international players like IBM and Cisco indicates a mature market, the inclusion of local companies like Cyberwise and Sabancı Digital Technology Services highlights a growing domestic cybersecurity ecosystem. The continued focus on data protection regulations and increasing government initiatives to enhance cybersecurity preparedness will further propel market expansion throughout the forecast period. The market's growth trajectory is influenced by several trends. The increasing prevalence of ransomware attacks and data breaches are driving demand for advanced threat detection and response solutions. Furthermore, the growing adoption of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity is enabling more proactive and effective threat mitigation. However, challenges remain, including a shortage of skilled cybersecurity professionals and the complexity of managing increasingly diverse security solutions. Addressing these limitations through investments in education and training, along with the development of integrated and user-friendly security platforms, will be crucial for realizing the full potential of the Turkish cybersecurity market. The presence of companies like ProActiveCyber Technologies BV suggests a strong focus on proactive security measures, a trend expected to gain further momentum in the coming years. Competition is expected to remain dynamic with both international and domestic players vying for market share. Recent developments include: December 2023: Evanssion, a prominent distributor specializing in cybersecurity and cloud-native security, unveiled its strategic partnership with Promon, a key player in mobile app security. The primary goal of this alliance is to offer advanced app security solutions tailored for seamless deployment across various industries in the Middle East (including Turkey), bolstering the safety and reliability of mobile applications., September 2023: Axidian and VMind jointly hosted the C-Level IT Security Summit in Turkey. The event was a dedicated platform to delve into the future of cybersecurity, specifically focusing on the evolving trends in identity and access management (IAM) and privileged access management (PAM). It focused on the digital-centric business environment, safeguarding identities and overseeing privileged access, which has become pivotal. The event unveiled the advanced developments in these pivotal cybersecurity domains.. Key drivers for this market are: Digital Transformation Technologies and Rise of Security Intelligence, High Potential Damages from Attacks on Critical Infrastructure and Increasing Sophistication of Attacks. Potential restraints include: Digital Transformation Technologies and Rise of Security Intelligence, High Potential Damages from Attacks on Critical Infrastructure and Increasing Sophistication of Attacks. Notable trends are: Cloud Security to Witness Significant Growth.

Supplementary Material 1

What’s Included

The Turkish Open-Ended Question Answering Dataset is a meticulously curated collection of comprehensive Question-Answer pairs. It serves as a valuable resource for training Large Language Models (LLMs) and Question-answering models in the Turkish language, advancing the field of artificial intelligence.

This QA dataset comprises a diverse set of open-ended questions paired with corresponding answers in Turkish. There is no context paragraph given to choose an answer from, and each question is answered without any predefined context content. The questions cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more.

Each question is accompanied by an answer, providing valuable information and insights to enhance the language model training process. Both the questions and answers were manually curated by native Turkish people, and references were taken from diverse sources like books, news articles, websites, and other reliable references.

This question-answer prompt completion dataset contains different types of prompts, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. The dataset also contains questions and answers with different types of rich text, including tables, code, JSON, etc., with proper markdown.

To ensure diversity, this Q&A dataset includes questions with varying complexity levels, ranging from easy to medium and hard. Different types of questions, such as multiple-choice, direct, and true/false, are included. Additionally, questions are further classified into fact-based and opinion-based categories, creating a comprehensive variety. The QA dataset also contains the question with constraints and persona restrictions, which makes it even more useful for LLM training.

To accommodate varied learning experiences, the dataset incorporates different types of answer formats. These formats include single-word, short phrases, single sentences, and paragraph types of answers. The answer contains text strings, numerical values, date and time formats as well. Such diversity strengthens the Language model's ability to generate coherent and contextually appropriate answers.

This fully labeled Turkish Open Ended Question Answer Dataset is available in JSON and CSV formats. It includes annotation details such as id, language, domain, question_length, prompt_type, question_category, question_type, complexity, answer_type, rich_text.

The dataset upholds the highest standards of quality and accuracy. Each question undergoes careful validation, and the corresponding answers are thoroughly verified. To prioritize inclusivity, the dataset incorporates questions and answers representing diverse perspectives and writing styles, ensuring it remains unbiased and avoids perpetuating discrimination.

Both the question and answers in Turkish are grammatically accurate without any word or grammatical errors. No copyrighted, toxic, or harmful content is used while building this dataset.

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Continuous efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to collect custom question-answer data tailored to specific needs, providing flexibility and customization options.

The dataset, created by FutureBeeAI, is now ready for commercial use. Researchers, data scientists, and developers can utilize this fully labeled and ready-to-deploy Turkish Open Ended Question Answer Dataset to enhance the language understanding capabilities of their generative ai models, improve response generation, and explore new approaches to NLP question-answering tasks.

The Politus Dataset is a large-scale dataset designed to analyze political public opinion in Turkey, created from social media data on X (formerly Twitter) and processed using privacy-preserving artificial intelligence algorithms.

The communication equipment industry is experiencing high demand for smartphones, burglar alarms and fire and smoke detectors. Modern smartphones are equipped with numerous functions that make life easier for consumers, while sales of traditional home phones have declined. As technology advances and regulations tighten, interest in security devices such as burglar and fire alarms is growing. Despite these advances, the industry is facing saturation and significant competition, particularly from abroad. As a result, many European manufacturers have relocated their production to Asian countries such as China and Vietnam to take advantage of lower labour costs and access to unsaturated markets. Over the five years through 2024, industry revenue is expected to sink at a compound annual rate of 5.2% to €65.9 billion. The communications equipment industry in Europe is rather dispersed due to different corporate strategies and the lack of targeted political measures to promote central manufacturing centres. Companies such as Ericsson and Thales have prioritised their production locations differently. Ericsson benefits from a skilled and low-cost labour force in Estonia, while Thales manufactures in France and focuses on customised products for government institutions that prioritise security. In the current year, the European communication equipment industry is challenged by economic difficulties in many countries, which is causing consumers and companies to be cautious in their spending on new telecommunications equipment. As a result, industry sales are expected to slump by 4.4% in 2024. Over the five years through 2029, the industry's revenue is expected to expand at an average annual rate of 1.7% to €71.7 billion. European telecommunications operators are investing in the modernisation of their infrastructure by switching to fibre optic cables for faster data transmission and the expansion of their 5G networks. This creates new opportunities for European manufacturers who produce the necessary components like data transmission devices and antennas. To increase their profitability, manufacturers are targeting niche markets with specialised products for business customers rather than mass consumer goods.

Comprehensive dataset of 3 Artificial plant suppliers in Kocaeli, Turkey as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The European computer and peripheral equipment market is dominated by imports, creating stiff competition for local manufacturers. Asian countries such as China, Taiwan and South Korea, which are characterised by cost-efficient manufacturing and high production capacities, dominate sales. In response, manufacturers in countries such as Germany, the UK and France have moved away from the mass production of electronics to serve niche markets that value innovation and customisation. For example, German companies are focusing on high-performance industrial computers, while some British companies are developing computers with sophisticated encryption technologies. At the same time, some large companies, including Dell, HP, Lenovo and Acer, have production facilities in Hungary and Czechia. Despite the higher costs compared to production in Asia, these European locations help companies respond to the requirements of the European market. Over the five years through 2024, revenue is expected to dip at a compound annual rate of 1.1% to €41.2 billion. Computer manufacturers struggled in the aftermath of the COVID-19 outbreak, which brought about huge supply chain disruption, hitting companies that rely on components made in Asia hard. In the current year, computer manufacturers are being challenged by high inflation and shaky economic conditions across Europe, which is causing consumers and companies to think twice before spending on new tech. As a result, revenue is declining by 2.5% in 2024. Computer manufacturing revenue growth in Europe will likely by constrained by high labour costs, a focus on software rather than hardware and market saturation. To counteract declining demand for PCs created by more widespread smartphone use, European computer manufacturers might look to focus on niche markets that require high computing power, such as gaming and content creation, and target those consumers seeking both portability and functionality with innovative products, such as convertible laptops. Over the five years through 2029, revenue is expected to rise at a compound annual rate of 3.9% to €50.0 billion.

The Turkish telecom market, valued at $8.14 billion in 2025, exhibits a robust growth trajectory, projected to expand at a compound annual growth rate (CAGR) of 3.52% from 2025 to 2033. This growth is fueled by several key factors. Increased smartphone penetration and data consumption drive demand for higher bandwidth services, particularly within the data and messaging segments. The rise of over-the-top (OTT) platforms and pay-TV services further contributes to market expansion, prompting telecom providers to invest in infrastructure upgrades and innovative service offerings. Government initiatives promoting digitalization and broadband access also play a significant role in fostering market growth. Competition among established players like Turk Telekom, Turkcell, Vodafone Turkey, and others, coupled with the emergence of new players offering competitive pricing and services, keeps the market dynamic and innovative. However, the market faces certain challenges. Economic fluctuations within Turkey can impact consumer spending on telecom services, potentially slowing down growth. Regulatory changes and licensing complexities could also hinder investments and expansion plans. Furthermore, maintaining a balance between infrastructure investment and profitability remains a key concern for telecom operators. The ongoing evolution of technological advancements, such as the deployment of 5G networks, requires significant capital investment, and successful navigation of this landscape will be vital for sustained growth. The market is segmented into voice services (wired and wireless), data and messaging services, and OTT and pay-TV services, each segment experiencing unique growth patterns based on consumer preferences and technological advancements. The market's future depends on the ability of operators to adapt to evolving consumer demands, invest in next-generation infrastructure, and navigate regulatory complexities effectively. This in-depth report provides a comprehensive analysis of the Turkey telecom market, covering the period from 2019 to 2033. With a base year of 2025 and a forecast period extending to 2033, this study offers invaluable insights into market size, trends, and future growth potential. The report delves into key segments, including voice services (wired and wireless), data and messaging services, and OTT and PayTV services. It examines the competitive landscape, highlighting leading players like Turk Telekom, Turkcell, Vodafone Turkey, and others, and analyzes their market share and strategies. The report also explores the impact of regulatory changes and technological advancements on the market's evolution. Discover crucial information for strategic decision-making in this dynamic sector. Recent developments include: February 2024: Lynk Global Inc. and Turkcell announced a partnership to launch initial Sat2Phone services utilizing Lynk's innovative "cell-towers-in-space." This collaboration aims to enhance network resiliency and mobile coverage across Turkey, benefiting the local population, businesses, and visitors., February 2024: At the Mobile World Congress (MWC) 2024, Turkcell, Turkey's technology leader, entered significant partnerships with Huawei, a global leader in information and communication technology, in three key areas. Under the agreement, Turkcell and Huawei will collaborate on projects aimed at advancing 5.5G, green technologies, and next-generation networks supported by artificial intelligence.. Key drivers for this market are: Growing Broadband Penetration, Digital Transformation of Satellites. Potential restraints include: Integration issues with traditional systems, Data quality and accuracy issues. Notable trends are: Growing Broadband Penetration to Drive the Market.

Turkish Speech Corpus (TSC)

This repository presents an open-source Turkish Speech Corpus, introduced in "Multilingual Speech Recognition for Turkic Languages". The corpus contains 218.2 hours of transcribed speech with 186,171 utterances and is the largest publicly available Turkish dataset of its kind at that time. Paper: Multilingual Speech Recognition for Turkic Languages.
GitHub Repository: https://github.com/IS2AI/TurkicASR

  Citation

@Article{info14020074… See the full description on the dataset page: https://huggingface.co/datasets/issai/Turkish_Speech_Corpus.

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Turkey ERP Market Size 2024-2028

The Turkey ERP market size is forecast to increase by USD 99.65 billion at a CAGR of 7% between 2023 and 2028.

The ERP market in Turkey is experiencing steady growth, driven by a focus on improving operational efficiency and advancements in cloud-based technology. Key factors include the increasing demand for integrated business solutions among SMEs, spurred by the need to streamline operations, and the adoption of digital tools and artificial intelligence that enhance visibility and traceability across supply chains. 
This report provides a practical resource for businesses, detailing market size, growth forecasts through 2028, and key segments like cloud ERP, which leads due to its flexibility and cost-effectiveness for Turkish enterprises. It explores trends such as the rising use of ERP systems among financial institutions to manage complex workflows and addresses challenges like economic instability, which can impact investment in technology upgrades. The analysis is designed to support strategic planning, operational improvements, and market positioning.
For companies aiming to stay competitive in the ERP market in Turkey, this report offers clear, data-driven insights into leveraging digital transformation trends and navigating economic uncertainties, ensuring they can adapt to a dynamic business landscape.

What will be the Size of the Market During the Forecast Period?

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Moreover, ERP solutions enable large enterprises to make informed decisions based on real-time data, fostering a competitive edge in the market. By integrating various business functions, ERP solutions improve operational efficiency, reduce costs, and increase productivity. In conclusion, the market is an essential tool for large enterprises seeking to enhance their business operations. ERP solutions offer integrated, data-driven solutions for various business functions, enabling organizations to make informed decisions, streamline processes, and gain a competitive edge in their respective industries.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Software
  Service


End-user

  Large enterprises
  SMEs


Deployment

  Cloud ERP
  On-premise ERP


Geography

  Turkey

By Component Insights

The Software segment is estimated to witness significant growth during the forecast period. The market is projected to experience substantial growth in the coming years. Enterprise Resource Planning (ERP) software serves as a unified business management solution, encompassing essential functions such as human resources, supply chain management, manufacturing, finance, accounting, and project management. Additionally, it supports industry-specific processes like asset management and product lifecycle management.

ERP software facilitates the definition and integration of business processes, ensuring optimal utilization of resources - human, financial, and operational. It offers a centralized repository for data, enabling better decision-making by providing a comprehensive view of business metrics. ERP software is available in various deployment models, including Software as a Service (SaaS) and on-premise. Further, companies can choose between purchasing software licenses or opting for subscriptions to access these solutions and services. Support and maintenance are crucial aspects of ERP software, ensuring seamless operations and continuous improvement.

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The software segment was valued at USD 135.48 million in 2018 and showed a gradual increase during the forecast period.

Market Dynamics

The market has been gaining significant traction among large enterprises in various industries. ERP solutions and services play a crucial role in streamlining business operations, enabling data-driven decisions, and improving operational efficiency. ERP systems offer standalone and embedded solutions to cater to the unique requirements of Turkish businesses. These solutions encompass supply chain management, distribution process management, business planning, HR functions, finance, marketing, and more. In the realm of supply chain management, ERP solutions optimize inventory levels, manage orders, and streamline logistics.

Furthermore, distribution process management ensures seamless flow of goods from manufacturers to end-users, reducing lead times and enhancing customer satisfaction. Business planning modules enable organizations to forecast demand, set targets, and allocate resources effectively. HR functions are automated, reducing manual processes and ensuring compliance with local regulations. IT technologies such as mobile applica