Global Data Labeling Solution and Services Market Forecast
- Global data labeling solution and services market size to reach revenue worth US$50 Bn by 2030-end
- The market value to exhibit nearly 22% CAGR during the assessment 2023 - 2030
Market Analysis in Brief
The global data labeling solution and services market is witnessing a surge in adoption due to several factors. The data labeling technology finds increasing application in autonomous vehicles, driving growth in the automobile industry. It enables self-driving cars to detect obstacles, notify drivers about walkways and guardrails nearby, and read stoplights and road signs. The growing significance of data efficiency and technological advancements has spurred new business innovations, economics, and infrastructure, propelling the expansion of the data labeling market. The rapid development of machine learning in automated data analytics is also expected to drive the demand for tools for autonomous data labeling across various data-driven applications. However, it is important to note that the high expenses associated with manually annotating complex photos may pose a limitation to the market's growth.
Key Report Findings
- The market for data labeling solution and services will demonstrate substantial expansion in revenue over 2023 to 2030.
- Manual labeling captured the largest market share in data labeling solutions and services due to its accuracy, flexibility, and ability to handle complex tasks, ensuring high-quality labeled data for training AI models across various industries and applications.
- The IT vertical captured the largest market share in data labeling solutions and services due to its extensive expertise in handling data, advanced technology infrastructure, and ability to scale data labeling operations efficiently, meeting clients' diverse needs in various industries.
- North America will continue to lead its way, whereas Asia Pacific's data labeling solution and services market will experience the strongest growth till 2030.
Growth Drivers
Increasing Emphasis on Centralised Data Management
The increasing emphasis on centralised data management is a significant driver behind the growth of the data labeling solution and services market. With the proliferation of data from various sources, including loT devices, social media, and sensors, there is a pressing need for accurate and annotated data to train machine learning and AI models effectively. Centralised data management enables organisations to store, organise, and manage large volumes of data in a unified and structured manner.
Data labeling solutions and services play a crucial role in this process by providing tools and expertise to annotate and label data, making it usable for Artificial Intelligence (AI), and machine learning (ML) applications. Centralised data management ensures data consistency and quality, making the labeled data more reliable for training AI algorithms. Data labeling services, often provided by specialised third-party vendors, assist organisations in dealing with the complex and time-consuming task of data annotation. By centralising this process, businesses can maintain a comprehensive repository of annotated data, reducing redundancy and improving data governance.
Additionally, centralised data management facilitates collaboration and knowledge sharing within organisations. Data labeling solutions can be integrated into a centralised platform, allowing multiple teams and stakeholders to access and contribute to the labeled data. This collaborative approach streamlines the data annotation process, enhances communication, and ensures that the organisation's labeling efforts are coherent and consistent.
Furthermore, centralised data management enhances data security and privacy. With sensitive data residing in a central location, organisations can implement robust security measures and access controls to protect the labeled data. As the demand for high-quality labeled data grows across various industries, adopting data labeling solutions and services is expected to witness substantial growth, driven by the advantages offered by centralised data management in streamlining data annotation processes and ensuring data reliability and security.
Advancements in Big Data Analytics Based on AI And ML
The rapid advancements in big data analytics based on AI, and ML are driving the growth of the data labeling solution and services market. Data labeling solutions and services are crucial in providing accurately annotated data that fuels the development and refinement of AI and ML applications.
The evolution of AI and ML has led to more complex algorithms, such as deep learning models, which require extensive and diverse labeled datasets to achieve optimal performance. Data labeling services offer a scalable and efficient solution to meet this demand. They utilise human intelligence and expertise to annotate and label vast datasets, enabling AI and ML models to learn and make predictions more accurately. This symbiotic relationship between AI/ML and data labeling propels the demand for labeling solutions in industries like healthcare, autonomous vehicles, natural language processing, and computer vision.
Moreover, technological developments in big data analytics have allowed data labeling services to leverage automation and AI-powered tools for labeling tasks. AI-based data labeling solutions can automatically annotate certain types of data, reducing the need for manual labeling, especially for well-defined tasks. Additionally, AI can assist human labelers by providing suggestions or verifying annotations, streamlining the labeling process. As a result, integrating AI and ML in data labeling solutions has made data annotation faster, more accurate, and cost-effective, driving its adoption across diverse industries and contributing to the growth of the data labeling solution and services market.
Growth Challenges
Lack of Professional Competency, Workforce Management Issues, and Inaccuracy Of Data Annotation
The labeling solution and services market faces several challenges due to factors such as the involvement of less skilled professionals in data annotation tasks. As the demand for labeled data increases, the need for data labeling services has grown, leading to a larger workforce involved in the annotation process. However, not all professionals possess the necessary skills and expertise to perform accurate data labeling, potentially resulting in inconsistent and unreliable annotations. This challenge emphasizes the importance of proper training and quality control measures to ensure the reliability of labeled data.
Workforce management issues also pose challenges in the data labeling market. Data labeling services often rely on a large and diverse workforce to handle the volume of annotation tasks. Managing and coordinating this distributed workforce can take time and effort, leading to delays, communication gaps, and variations in labeling quality.
Efficient workforce management strategies, including clear instructions, performance monitoring, and feedback mechanisms, are vital to overcome these challenges and maintain consistent and high-quality data annotations. Another critical challenge is the potential inaccuracy of data annotation, which can significantly impact the performance of AI and ML models. Annotating complex and ambiguous data requires domain expertise and a deep understanding of the data context. Inaccurate or biased annotations can lead to biased and suboptimal AI models, reducing their effectiveness and hindering real-world applications.
Ensuring the accuracy of data annotation requires rigorous quality assurance processes, including multiple annotations by different labelers, consensus checks, and continuous feedback loops to address any discrepancies and improve annotation accuracy. Addressing these challenges requires proper training and skill development, effective workforce management strategies, and robust quality control mechanisms for data labeling professionals.
Overview of Key Segments
Manual Labeling Type Captures the Largest Market Share
Manual labeling type has captured the largest market share in the data labeling solution and services market for several reasons. One of the primary factors contributing to its dominance is its versatility and adaptability across various industries and use cases. Manual data labeling allows human labelers to apply context, domain expertise, and subjective judgment, making it suitable for complex and ambiguous data types, such as images, natural language, and audio. This level of accuracy and human insight is often crucial in applications like medical imaging, sentiment analysis, and voice recognition, where automated techniques may fall short.
Data privacy and security concerns have also driven the preference for manual data labeling. Certain industries, like healthcare and finance, handle sensitive and confidential data that requires careful handling and compliance with strict regulations. Manual data labeling can offer an added layer of security, enabling organisations to control data access and restrict the exposure of sensitive information. This aspect is particularly crucial when dealing with personally identifiable information (PII), and protected health information (PHI).
Overall, the combination of accuracy, customisation, and data privacy features has contributed to manual labeling's prominence in the data labeling solution and services market. While automated labeling techniques continue to evolve, manual labeling remains the go-to choice for industries that prioritise precision, flexibility, and data security in their AI and machine learning initiatives.
IT Vertical Registers the Highest Adoption
The IT vertical has captured the largest market share in the data labeling solution and services market due to several key factors. First and foremost, the IT industry is at the forefront of technological advancements, with heavy reliance on AI and machine learning applications. Data labeling is critical in training and fine-tuning AI models, ensuring they perform accurately and deliver valuable insights. As the demand for AI-driven solutions continues to grow across various IT sub-sectors like natural language processing, computer vision, and recommendation systems, the need for high-quality labeled data becomes paramount, driving the adoption of data labeling solutions and services in the IT vertical.
Moreover, the IT industry has many use cases requiring diverse and complex data labeling. From e-commerce companies analysing customer preferences to cybersecurity firms detecting anomalies in network data, data labeling is essential in extracting valuable information from vast and unstructured datasets. The IT vertical's varied applications and data requirements necessitate the flexibility and customisation offered by data labeling services, making it a natural fit for their AI and machine learning needs. Additionally, the IT vertical is home to many startups, SMEs, and tech giants that may need more in-house resources or expertise for data labeling.
This outsourcing trend has fueled the growth of data labeling services in the IT industry as businesses seek reliable solutions to address their AI training needs. Overall, the IT vertical's technological innovation, diverse applications, and increasing demand for AI-driven solutions have made it the dominant data labeling solutions and services market. As the IT industry continues to push the boundaries of AI and machine learning, the importance of accurate and reliable labeled data will only grow, sustaining the IT vertical's leadership in the data labeling solution and services market.
Growth Opportunities Across Regions
North America at the Forefront
For several reasons, North America captured the largest market share in the data labeling solution and services market. First and foremost, North America is home to a vast and mature technology sector, with numerous companies investing heavily in AI, machine learning, and data-driven applications.As a result, there is a significant need for data labeling services and solutions in North America, leading to its dominant position in the market.
Secondly, North America has a well-established ecosystem of data-centric industries like finance, healthcare, automotive, and retail. These industries rely heavily on AI and machine learning for data analysis, customer insights, and process optimisation. The accuracy and reliability of AI models depend on high-quality labeled data, and data labeling services in North America cater to the diverse and complex data requirements of these industries. The region's data labeling capabilities and expertise in handling various data types have further contributed to its leadership in the market.
Moreover, North America has a skilled workforce and access to a large talent pool, including data scientists, engineers, and domain experts. This skilled workforce is crucial in providing accurate and contextually relevant data labeling services, making North America an attractive hub for data labeling solutions and services.
Additionally, the region's strong regulatory framework and emphasis on data privacy and security have instilled confidence in data labeling practices, attracting businesses and organisations worldwide to seek data labeling solutions from North American providers.
Overall, North America's technological leadership, well-established industries, skilled workforce, and robust regulatory environment have collectively contributed to its dominant market share in the data labeling solution and services market. As the demand for AI and machine learning applications continues to grow, North America is expected to maintain its leading position in the data labeling industry.
Asia Pacific Gathers Momentum
Due to several key factors, Asia Pacific emerged as the fastest-growing region in the Data Labeling Solution and Services market. One of the primary drivers of growth in the region is the rapid digitisation and adoption of AI and machine learning technologies across various industries. As Asian countries continue to invest heavily in technological advancements, the demand for labeled data to train AI models has surged, creating a significant need for data labeling services and solutions.
Additionally, the Asia Pacific region is witnessing a surge in startups, and tech companies focused on AI-driven applications. These companies often need more in-house resources and expertise for data labeling tasks, making them reliant on data labeling service providers. The increasing demand from startups and small to medium-sized enterprises (SMEs) has led to substantial growth in the data labeling market in the region.
Moreover, Asia Pacific is home to a vast and diverse population, making it an attractive market for AI and machine learning applications across various sectors, such as e-commerce, healthcare, finance, and autonomous vehicles. The region's diverse languages, cultures, and contexts necessitate accurate and contextually relevant data labeling. Data labeling services in Asia Pacific have adapted to these requirements, catering to the unique needs of businesses in the region and driving the market's rapid growth.
Furthermore, the region's favourable regulatory environment and relatively lower labour costs have attracted global companies to outsource their data labeling needs to service providers in Asia Pacific. This outsourcing trend has further accelerated the growth of the data labeling market in the region. As Asia Pacific continues to witness technological advancements and digital transformation across industries, the demand for data labeling solutions and services is expected to maintain its rapid growth trajectory, solidifying the region's position as the fastest-growing data labeling solution and services market.
Data Labeling Solution and Services Market: Competitive Landscape
Some of the leading players at the forefront in the data labeling solution and services market space include AIegion Inc., Amazon Mechanical Turk Inc., Appen Limited, Labelbox Inc, Lotus Quality Assurance, Cogito Tech LLC, Deep Systems LLC, Clickworker GmbH, CloudApp, CloudFactory Limited, edgecase.ai, Explosion AI GmbH, Heex Technologies, Mighty AI Inc., Playment Inc., Scale AI, Shaip, Steldia Services Ltd., Trilldata Technologies Pvt Ltd., Tagtog Sp. z o.o., and Yandez LLC.
Recent Notable Developments
In March 2023, The Premier League partnered with Avery Dennison to create a fresh font, marking only the fourth makeover in Premier League history. The redesigned front boasts improved visibility, making a notable impact on and off the pitch with taller numbers and incorporating the Premier League's distinctive graphic design. Fans can expect the availability of the new numbers, names, and sleeve badges in the upcoming spring, coinciding with the launch of each Premier League club's 2023–24 season shirt.
Global Data Labeling Solution and Services Market is Segmented as Below:
By Sourcing Type
- In-house
- Outsourced
By Type
- Text
- Image/Video
- Audio
By Labeling Type
- Manual
- Semi-supervised
- Automatic
By Vertical
- IT
- Automotive
- Government
- Healthcare
- Financial Services
- Retails
- Others
By Geographic Coverage
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- Italy
- Russia
- Rest of Europe
- Asia Pacific
- China
- Japan
- South Korea
- India
- Southeast Asia
- Rest of Asia Pacific
- Latin America
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- GCC
- South Africa
- Rest of the Middle East & Africa
1. Executive Summary
1.1. Global Data Labeling Solution and Services Market, Snapshot
1.2. Future Projections
1.3. Key Market Trends
1.4. Regional Snapshot, by Value, 2022
1.5. Analyst Recommendations
2. Market Overview
2.1. Market Definitions and Segmentations
2.2. Market Dynamics
2.2.1. Drivers
2.2.2. Restraints
2.2.3. Market Opportunities
2.3. Value Chain Analysis
2.4. Porter’s Five Forces Analysis
2.5. Covid-19 Impact Analysis
2.5.1. Supply
2.5.2. Demand
2.6. Impact of Ukraine-Russia Conflict
2.7. Economic Overview
2.7.1. World Economic Projections
2.8. PESTLE Analysis
3. Global Data Labeling Solution and Services Market, Outlook, 2018 - 2030
3.1. Global Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
3.1.1. Key Highlights
3.1.1.1. In-House
3.1.1.2. Outsourced
3.2. Global Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
3.2.1. Key Highlights
3.2.1.1. Text
3.2.1.2. Image/Video
3.2.1.3. Audio
3.3. Global Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
3.3.1. Key Highlights
3.3.1.1. Manual
3.3.1.2. Semi-Supervised
3.3.1.3. Automatic
3.4. Global Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
3.4.1. Key Highlights
3.4.1.1. IT
3.4.1.2. Automotive
3.4.1.3. Government
3.4.1.4. Healthcare
3.4.1.5. Financial Services
3.4.1.6. Retails
3.4.1.7. Others
3.5. Global Data Labeling Solution and Services Market, Outlook, by Region, Value (US$ Bn), 2018 - 2030
3.5.1. Key Highlights
3.5.1.1. North America
3.5.1.2. Europe
3.5.1.3. Asia Pacific
3.5.1.4. Latin America
3.5.1.5. Middle East & Africa
4. North America Data Labeling Solution and Services Market, Outlook, 2018 - 2030
4.1. North America Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
4.1.1. Key Highlights
4.1.1.1. In-House
4.1.1.2. Outsourced
4.2. North America Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
4.2.1. Key Highlights
4.2.1.1. Text
4.2.1.2. Image/Video
4.2.1.3. Audio
4.3. North America Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
4.3.1. Key Highlights
4.3.1.1. Manual
4.3.1.2. Semi-Supervised
4.3.1.3. Automatic
4.4. North America Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
4.4.1. Key Highlights
4.4.1.1. IT
4.4.1.2. Automotive
4.4.1.3. Government
4.4.1.4. Healthcare
4.4.1.5. Financial Services
4.4.1.6. Retails
4.4.1.7. Others
4.5. North America Data Labeling Solution and Services Market, Outlook, by Country, Value (US$ Bn), 2018 - 2030
4.5.1. Key Highlights
4.5.1.1. U.S. Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
4.5.1.2. U.S. Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
4.5.1.3. U.S. Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
4.5.1.4. U.S. Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
4.5.1.5. Canada Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
4.5.1.6. Canada Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
4.5.1.7. Canada Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
4.5.1.8. Canada Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
4.5.2. BPS Analysis/Market Attractiveness Analysis
5. Europe Data Labeling Solution and Services Market, Outlook, 2018 - 2030
5.1. Europe Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
5.1.1. Key Highlights
5.1.1.1. In-House
5.1.1.2. Outsourced
5.2. Europe Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
5.2.1. Key Highlights
5.2.1.1. Text
5.2.1.2. Image/Video
5.2.1.3. Audio
5.3. Europe Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
5.3.1. Key Highlights
5.3.1.1. Manual
5.3.1.2. Semi-Supervised
5.3.1.3. Automatic
5.4. Europe Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
5.4.1. Key Highlights
5.4.1.1. IT
5.4.1.2. Automotive
5.4.1.3. Government
5.4.1.4. Healthcare
5.4.1.5. Financial Services
5.4.1.6. Retails
5.4.1.7. Others
5.4.2. BPS Analysis/Market Attractiveness Analysis
5.5. Europe Data Labeling Solution and Services Market, Outlook, by Country, Value (US$ Bn), 2018 - 2030
5.5.1. Key Highlights
5.5.1.1. Germany Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.2. Germany Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
5.5.1.3. Germany Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.4. Germany Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
5.5.1.5. U.K. Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.6. U.K. Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
5.5.1.7. U.K. Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.8. U.K. Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
5.5.1.9. France Data Labeling Solution and Services Market, By Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.10. France Data Labeling Solution and Services Market, By Type, Value (US$ Bn), 2018 - 2030
5.5.1.11. France Data Labeling Solution and Services Market, By Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.12. France Data Labeling Solution and Services Market, By Vertical, Value (US$ Bn), 2018 - 2030
5.5.1.13. Italy Data Labeling Solution and Services Market, By Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.14. Italy Data Labeling Solution and Services Market, By Type, Value (US$ Bn), 2018 - 2030
5.5.1.15. Italy Data Labeling Solution and Services Market, By Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.16. Italy Data Labeling Solution and Services Market, By Vertical, Value (US$ Bn), 2018 - 2030
5.5.1.17. Russia Data Labeling Solution and Services Market, By Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.18. Russia Data Labeling Solution and Services Market, By Type, Value (US$ Bn), 2018 - 2030
5.5.1.19. Russia Data Labeling Solution and Services Market, By Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.20. Russia Data Labeling Solution and Services Market, By Vertical, Value (US$ Bn), 2018 - 2030
5.5.1.21. Rest Of Europe Data Labeling Solution and Services Market, By Sourcing Type, Value (US$ Bn), 2018 - 2030
5.5.1.22. Rest Of Europe Data Labeling Solution and Services Market, By Type, Value (US$ Bn), 2018 - 2030
5.5.1.23. Rest Of Europe Data Labeling Solution and Services Market, By Labeling Type, Value (US$ Bn), 2018 - 2030
5.5.1.24. Rest Of Europe Data Labeling Solution and Services Market, By Vertical, Value (US$ Bn), 2018 - 2030
5.5.2. BPS Analysis/Market Attractiveness Analysis
6. Asia Pacific Data Labeling Solution and Services Market, Outlook, 2018 - 2030
6.1. Asia Pacific Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.1.1. Key Highlights
6.1.1.1. In-House
6.1.1.2. Outsourced
6.2. Asia Pacific Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
6.2.1. Key Highlights
6.2.1.1. Text
6.2.1.2. Image/Video
6.2.1.3. Audio
6.3. Asia Pacific Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.3.1. Key Highlights
6.3.1.1. Manual
6.3.1.2. Semi-Supervised
6.3.1.3. Automatic
6.4. Asia Pacific Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
6.4.1. Key Highlights
6.4.1.1. IT
6.4.1.2. Automotive
6.4.1.3. Government
6.4.1.4. Healthcare
6.4.1.5. Financial Services
6.4.1.6. Retails
6.4.1.7. Others
6.4.2. BPS Analysis/Market Attractiveness Analysis
6.5. Asia Pacific Data Labeling Solution and Services Market, Outlook, by Country, Value (US$ Bn), 2018 - 2030
6.5.1. Key Highlights
6.5.1.1. China Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.2. China Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.3. China Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.4. China Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.1.5. Japan Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.6. Japan Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.7. Japan Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.8. Japan Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.1.9. South Korea Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.10. South Korea Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.11. South Korea Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.12. South Korea Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.1.13. India Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.14. India Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.15. India Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.16. India Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.1.17. Southeast Asia Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.18. Southeast Asia Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.19. Southeast Asia Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.20. Southeast Asia Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.1.21. Rest of Asia Pacific Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
6.5.1.22. Rest of Asia Pacific Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
6.5.1.23. Rest of Asia Pacific Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
6.5.1.24. Rest of Asia Pacific Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
6.5.2. BPS Analysis/Market Attractiveness Analysis
7. Latin America Data Labeling Solution and Services Market, Outlook, 2018 - 2030
7.1. Latin America Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
7.1.1. Key Highlights
7.1.1.1. In-House
7.1.1.2. Outsourced
7.2. Latin America Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
7.2.1. Key Highlights
7.2.1.1. Text
7.2.1.2. Image/Video
7.2.1.3. Audio
7.3. Latin America Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
7.3.1. Key Highlights
7.3.1.1. Manual
7.3.1.2. Semi-Supervised
7.3.1.3. Automatic
7.4. Latin America Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
7.4.1. Key Highlights
7.4.1.1. IT
7.4.1.2. Automotive
7.4.1.3. Government
7.4.1.4. Healthcare
7.4.1.5. Financial Services
7.4.1.6. Retails
7.4.1.7. Others
7.4.2. BPS Analysis/Market Attractiveness Analysis
7.5. Latin America Data Labeling Solution and Services Market, Outlook, by Country, Value (US$ Bn), 2018 - 2030
7.5.1. Key Highlights
7.5.1.1. Brazil Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
7.5.1.2. Brazil Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
7.5.1.3. Brazil Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
7.5.1.4. Brazil Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
7.5.1.5. Mexico Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
7.5.1.6. Mexico Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
7.5.1.7. Mexico Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
7.5.1.8. Mexico Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
7.5.1.9. Rest of Latin America Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
7.5.1.10. Rest of Latin America Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
7.5.1.11. Rest of Latin America Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
7.5.1.12. Rest of Latin America Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
7.5.2. BPS Analysis/Market Attractiveness Analysis
8. Middle East & Africa Data Labeling Solution and Services Market, Outlook, 2018 - 2030
8.1. Middle East & Africa Data Labeling Solution and Services Market, Outlook, by Sourcing Type, Value (US$ Bn), 2018 - 2030
8.1.1. Key Highlights
8.1.1.1. In-House
8.1.1.2. Outsourced
8.2. Middle East Data Labeling Solution and Services Market, Outlook, by Type, Value (US$ Bn), 2018 - 2030
8.2.1. Key Highlights
8.2.1.1. Text
8.2.1.2. Image/Video
8.2.1.3. Audio
8.3. Middle East & Africa Data Labeling Solution and Services Market, Outlook, by Labeling Type, Value (US$ Bn), 2018 - 2030
8.3.1. Key Highlights
8.3.1.1. Manual
8.3.1.2. Semi-Supervised
8.3.1.3. Automatic
8.4. Middle East & Africa Data Labeling Solution and Services Market, Outlook, by Vertical, Value (US$ Bn), 2018 - 2030
8.4.1. Key Highlights
8.4.1.1. IT
8.4.1.2. Automotive
8.4.1.3. Government
8.4.1.4. Healthcare
8.4.1.5. Financial Services
8.4.1.6. Retails
8.4.1.7. Others
8.4.2. BPS Analysis/Market Attractiveness Analysis
8.5. Middle East & Africa Data Labeling Solution and Services Market, Outlook, by Country, Value (US$ Bn), 2018 - 2030
8.5.1. Key Highlights
8.5.1.1. GCC Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
8.5.1.2. GCC Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
8.5.1.3. GCC Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
8.5.1.4. GCC Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
8.5.1.5. South Africa Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
8.5.1.6. South Africa Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
8.5.1.7. South Africa Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
8.5.1.8. South Africa Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
8.5.1.9. Rest of Middle East & Africa Data Labeling Solution and Services Market, by Sourcing Type, Value (US$ Bn), 2018 - 2030
8.5.1.10. Rest of Middle East & Africa Data Labeling Solution and Services Market, by Type, Value (US$ Bn), 2018 - 2030
8.5.1.11. Rest of Middle East & Africa Data Labeling Solution and Services Market, by Labeling Type, Value (US$ Bn), 2018 - 2030
8.5.1.12. Rest of Middle East & Africa Data Labeling Solution and Services Market, by Vertical, Value (US$ Bn), 2018 - 2030
8.5.2. BPS Analysis/Market Attractiveness Analysis
9. Competitive Landscape
9.1. Company Market Share Analysis, 2022
9.2. Competitive Dashboard
9.3. Company Profiles
9.3.1. Alegion Inc.
9.3.1.1. Company Overview
9.3.1.2. Product Type Portfolio
9.3.1.3. Financial Overview
9.3.1.4. Business Strategies and Development
9.3.2. Amazon Mechanical Turk
9.3.2.1. Company Overview
9.3.2.2. Product Type Portfolio
9.3.2.3. Financial Overview
9.3.2.4. Business Strategies and Development
9.3.3. Appen Limited
9.3.3.1. Company Overview
9.3.3.2. Product Type Portfolio
9.3.3.3. Financial Overview
9.3.3.4. Business Strategies and Development
9.3.4. Clickworker GmbH
9.3.4.1. Company Overview
9.3.4.2. Product Type Portfolio
9.3.4.3. Financial Overview
9.3.4.4. Business Strategies and Development
9.3.5. CloudApp
9.3.5.1. Company Overview
9.3.5.2. Product Type Portfolio
9.3.5.3. Financial Overview
9.3.5.4. Business Strategies and Development
9.3.6. CloudFactory Limited
9.3.6.1. Company Overview
9.3.6.2. Product Type Portfolio
9.3.6.3. Financial Overview
9.3.6.4. Business Strategies and Development
9.3.7. Cogito Tech LLC
9.3.7.1. Company Overview
9.3.7.2. Product Type Portfolio
9.3.7.3. Financial Overview
9.3.7.4. Business Strategies and Development
9.3.8. Deep Systems, LLC
9.3.8.1. Company Overview
9.3.8.2. Product Type Portfolio
9.3.8.3. Financial Overview
9.3.8.4. Business Strategies and Development
9.3.9. Edgecase.ai
9.3.9.1. Company Overview
9.3.9.2. Product Type Portfolio
9.3.9.3. Financial Overview
9.3.9.4. Business Strategies and Development
9.3.10. Explosion AI GmbH
9.3.10.1. Company Overview
9.3.10.2. Product Type Portfolio
9.3.10.3. Financial Overview
9.3.10.4. Business Strategies and Development
9.3.11. Heex Technologies
9.3.11.1. Company Overview
9.3.11.2. Product Type Portfolio
9.3.11.3. Financial Overview
9.3.11.4. Business Strategies and Development
9.3.12. Lotus Quality Assurance
9.3.12.1. Company Overview
9.3.12.2. Product Type Portfolio
9.3.12.3. Financial Overview
9.3.12.4. Business Strategies and Development
9.3.13. Labelbox Inc
9.3.13.1. Company Overview
9.3.13.2. Product Type Portfolio
9.3.13.3. Financial Overview
9.3.13.4. Business Strategies and Development
9.3.14. Mighty AI, Inc.
9.3.14.1. Company Overview
9.3.14.2. Product Type Portfolio
9.3.14.3. Financial Overview
9.3.14.4. Business Strategies and Development
9.3.15. Playment Inc.
9.3.15.1. Company Overview
9.3.15.2. Product Type Portfolio
9.3.15.3. Financial Overview
9.3.15.4. Business Strategies and Development
9.3.16. Scale AI
9.3.16.1. Company Overview
9.3.16.2. Product Type Portfolio
9.3.16.3. Financial Overview
9.3.16.4. Business Strategies and Development
9.3.17. Shaip
9.3.17.1. Company Overview
9.3.17.2. Product Type Portfolio
9.3.17.3. Financial Overview
9.3.17.4. Business Strategies and Development
9.3.18. Steldia Services Ltd
9.3.18.1. Company Overview
9.3.18.2. Product Type Portfolio
9.3.18.3. Financial Overview
9.3.18.4. Business Strategies and Development
9.3.19. Tagtog Sp. z o.o.
9.3.19.1. Company Overview
9.3.19.2. Product Type Portfolio
9.3.19.3. Financial Overview
9.3.19.4. Business Strategies and Development
9.3.20. Trilldata Technologies Pvt Ltd
9.3.20.1. Company Overview
9.3.20.2. Product Type Portfolio
9.3.20.3. Financial Overview
9.3.20.4. Business Strategies and Development
9.3.21. Yandez LLC.
9.3.21.1. Company Overview
9.3.21.2. Product Type Portfolio
9.3.21.3. Financial Overview
9.3.21.4. Business Strategies and Development
10. Appendix
10.1. Research Methodology
10.2. Report Assumptions
10.3. Acronyms and Abbreviations
|
BASE YEAR |
HISTORICAL DATA |
FORECAST PERIOD |
UNITS |
|||
 |
2022 |
 |
2018 - 2022 |
 |
2023 - 2030 |
Value: US$ Million |
|
REPORT FEATURES |
DETAILS |
|
Sourcing Type Coverage |
|
|
Type Coverage |
|
|
Labeling Type Coverage |
|
|
Vertical Coverage |
|
|
Geographical Coverage |
|
|
Leading Companies |
|
|
Report Highlights |
Key Market Indicators, Macro-micro economic impact analysis, Technological Roadmap, Key Trends, Driver, Restraints, and Future Opportunities & Revenue Pockets, Porter’s 5 Forces Analysis, Historical Trend (2019-2021), Market Estimates and Forecast, Market Dynamics, Industry Trends, Competition Landscape, Category, Region, Country-wise Trends & Analysis, COVID-19 Impact Analysis (Demand and Supply Chain) |
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