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License information was derived automatically
The Kurdish language is regarded as one of the less-resourced languages. The language is globally practised by 30-40 people. The language has 33 letters that are largely similar to the Arabic language. The Kurdish language has two major dialects Sorani and Badini. The dataset includes a collection of texts written in the Sorani dialect. It contains tweets the Twitter API. Due to security reasons and following the policies of Twitter, we removed the user's identity. We collected the tweets which was published during the time of the Corona Virus pandemic. The tweets are raw texts, and the content covers a varied range of topics, starting from politics, sports, entertainment, social life, etc. Data Labeling We used the Twitter developer (Twitter API) to mine the tweets. The dataset was annotated manually by three Kurdish native speakers. The annotators were required to identify the classes and categories of each text. The classes included positive, negative and neutral and the categories consisted of news, technology, art, social and health. The texts which were agreed upon by at least two annotators to possess a specific label and category were regarded as conflict-free and accepted for further processing. Other texts that caused conflict among all three raters were ignored and have been removed from the dataset. The doccano program was used to help the annotators label each text one by one.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 0.43(USD Billion) |
MARKET SIZE 2024 | 0.5(USD Billion) |
MARKET SIZE 2032 | 1.623(USD Billion) |
SEGMENTS COVERED | Labeling Methodology ,Labeling Type ,Industry Vertical ,Data Type ,Deployment Model ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Increasing adoption of natural language processing NLP and machine learning ML Rising demand for data labeling for training AI and ML models Growing need for accurate and consistent data labeling Stringent data privacy regulations Technological advancements in labeling tools and techniques |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Playment ,Cogito ,Telus International ,Appen ,Lionbridge AI ,iMerit Technology Services ,Qualtrics ,Hive ,SuperAnnotate ,Premise Data ,Prolific ,Cloud Factory ,Scale AI ,Sama |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | 1 Growing Demand for NLP and AI 2 Increased Focus on Data Quality 3 Expansion into New Industries 4 Advancements in ML Algorithms 5 Surge in IoT and Connected Devices |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 15.88% (2025 - 2032) |
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Drone Analytics Market size was valued at USD 17.46 Billion in 2024 and is projected to reach USD 86.34 Billion by 2031, growing at a CAGR of 24.40% from 2024 to 2031.
Global Drone Analytics Market Drivers:
Rising Adoption Across Various Industries: Drones are increasingly being used in a variety of industries, including agriculture, construction, mining, oil and gas, and environmental monitoring. Drones provide useful insights in agriculture by monitoring crop health, planning irrigation, and practicing precision farming. In building and mining, they provide efficient site surveys, progress monitoring, and safety inspections. This cross-industry usage contributes greatly to market growth.
Growing Demand for Real-Time Data and Analytics: Real-time data collection and analysis are becoming increasingly important, especially for decision-making and operational efficiency. Drones with advanced analytics capabilities can quickly collect and interpret data, yielding actionable insights that boost production and optimize resource allocation. This skill is critical in areas where timely data can make a substantial difference in outcomes. Real-time analytics allows drones to alter their fly routes or data gathering parameters based on the evaluated data. For example, in precision agriculture, drones may dynamically alter their spraying patterns depending on real-time crop health indicators, resulting in more effective resource usage and higher agricultural yields.
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Global E-Paper Display Market size is set to expand from $ 13.65 Billion in 2023 to $ 21.73 Billion by 2032, with an anticipated CAGR of around 5.3% from 2024 to 2032.
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The global thermal paper market size revenue was worth $3.7 billion in 2021 and is expected to rise to $5.4 billion by 2030 at a CAGR of 4.3%.
Trusted with the task of providing the world with new music, record labels have a massive influence on the music market. But which record companies play an important role? In 2023, Universal Music Group held the largest share of the market when it came to both physical and digital, with a market share of 31.8 percent. Independents' share amounted to 30.6 percent that year, less than two percent lower than that of Universal Music Group, which remained the biggest record label in the world in 2023 with almost double the market share held by WMG. The Big Three are dominating the market Overall, the music market is dominated by three companies: Sony Music Group, Universal Music Group, as well as Warner Music Group. Sony Music Group is made up of Sony Music and Sony Music Publishing. Founded in 1929 as the American Record Corporation, the New York based company is currently the largest music publisher in the world. The music segment alone generated a revenue of over ten billion U.S. dollars in 2023. In terms of revenue, the company comes second with a market share of over 22 percent. The only company with a higher market share was the Universal Music Group. As one of the three major music publishers, UMG consists of four sectors: recorded music, music publishing as well as artist services and merchandise. The reason for the company’s success is undeniable when looking at the current charts: UMG has contracts with some of the most successful artists of our generation such as Billie Eilish, Dua Lipa, or Eminem. Even though Warner Music has the smallest market share of the three, it is still a major player in the record music industry. The U.S. company has artists such as Ed Sheeran, Robin Schulz or the Red Hot Chilli Peppers under contract. The music market is evolvingIn 2023, the total revenue of the recorded music industry amounted to 28.6 billion U.S. dollars. Global streaming revenues reached nearly 20 billion U.S. dollars in the same year. Overall, recorded music increased by 10 percent. Streaming and subscriptions especially contribute to the high digital music revenue, reaching 13.8 billion U.S. dollars in 2022. The number of downloads on the other hand has been decreasing steadily over the last 15 years- a development that is likely to continue.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 12.11(USD Billion) |
MARKET SIZE 2024 | 14.37(USD Billion) |
MARKET SIZE 2032 | 56.6(USD Billion) |
SEGMENTS COVERED | Annotation Type ,Application ,Deployment Mode ,Industry Vertical ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | 1 Rising Demand for AIDriven Applications 2 Growing Adoption of Video Content 3 Advancements in Annotation Tools and Techniques 4 Increasing Focus on Data Quality 5 Government Initiatives and Regulations |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Lionbridge AINewparaScale AINewparaTagilo Inc.NewparaThe Labelbox ,Toloka ,Xilyxe ,Keymakr ,Wayfair ,CloudFactory ,Hive.ai (formerly SmartPixels) ,Dataloop ,Wide |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Automated data labeling Object detection and tracking AI model training |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 18.69% (2025 - 2032) |
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Kurdish language is regarded as one of the less-resourced languages. The language is globally practised by 30-40 people. The language has 33 letters that are largely similar to the Arabic language. The Kurdish language has two major dialects Sorani and Badini. The dataset includes a collection of texts written in the Sorani dialect. It contains tweets the Twitter API. Due to security reasons and following the policies of Twitter, we removed the user's identity. We collected the tweets which was published during the time of the Corona Virus pandemic. The tweets are raw texts, and the content covers a varied range of topics, starting from politics, sports, entertainment, social life, etc. Data Labeling We used the Twitter developer (Twitter API) to mine the tweets. The dataset was annotated manually by three Kurdish native speakers. The annotators were required to identify the classes and categories of each text. The classes included positive, negative and neutral and the categories consisted of news, technology, art, social and health. The texts which were agreed upon by at least two annotators to possess a specific label and category were regarded as conflict-free and accepted for further processing. Other texts that caused conflict among all three raters were ignored and have been removed from the dataset. The doccano program was used to help the annotators label each text one by one.