AI Training Dataset Market Size | Trends & Industry Forecast [2030]

AI Training Dataset Market by Software (Data Collection Tools, Data Annotation Software, Off-the-Shelf Datasets), Services (Data Validation Services, Dataset Marketplaces), Data Modality (Text, Image, Video, Audio, Multimodal) - Global Forecast to 2029

USD 9.58 BN

MARKET SIZE, 2030

CAGR 27.7%

(2025-2030)

434

REPORT PAGES

466

MARKET TABLES

OVERVIEW

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The AI training dataset market size is estimated to be USD 2.82 billion in 2024 and is set to grow at a CAGR of 27.7% over the forecast period, to reach USD 9.58 billion in 2029. The key propellant of the AI training dataset market is the adoption of synthetically generated datasets, which have become especially crucial in industries that require sensitive or near impossible to attain real-world data. In healthcare for instance, synthetic data is utilized to create medical images that closely resemble real medical scenarios but do not contravene privacy laws such as the GDPR or HIPAA. Such datasets have opened up new opportunities for enterprises to create AI models geared towards specialized diagnosis and treatment suggestion, without revealing any patient’s private information. Similar trends are being observed in the autonomous driving sector, where synthetic datasets are simulating extreme or hazardous driving situations that are unsafe to observe in real life, yet are essential in training the AI systems comprehensively.

KEY TAKEAWAYS

North America is estimated to hold the largest market share of the global AI training dataset market in 2025.
By offering, the synthetic data generation software segment is expected to register the highest CAGR of 29.6% during the forecast period.
By annotation type, The synthetic datasets segment is projected to register the highest CAGR of 30.5% between 2024 and 2029.
By data modality, the multimodal segment is projected to register the highest CAGR of 31.1% between 2024 and 2029.
By type, LLM fine tuning generative AI segment is projected to register the largest market size in 2025.
By end users, software & technology providers segment is projected to register the largest market size in 2025.
Companies such as Scale AI, Appen, and Innodata were identified as some of the star players in the AI training dataset Market, given their strong market share and product footprint.
Companies Hugging Face, Shaip, and Snorkel AI, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.

AI training datasets are vast volumes of data used to teach AI systems to recognize patterns, make decisions, and improve over time. The AI training dataset market includes both –software and services. AI training dataset software involves collection, labeling, synthetic generation, augmentation and OTS datasets to produce high-quality datasets for AI model training. AI training dataset services include data collection services, data annotation & labeling services, data validation services and dataset marketplaces for trading or acquiring tailored data.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The impact on consumers’ business emerges from customer trends or disruptions. Shifts, which are changing trends or disruptions, will impact the revenues of end users. The revenue impact on end users will affect the revenue of hotbeds, which will further affect the revenues of AI training dataset providers.

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers

Impact
Level

Rising AI applications requiring cross-modal understanding driving demand for multimodal AI training datasets
Rising use of multilingual datasets for conversational AI

RESTRAINTS

Impact
Level

Rapidly changing regulatory environment is causing friction in AI training dataset creation and deployment
Limited access to high-quality medical datasets due to HIPAA compliance

OPPORTUNITIES

Impact
Level

Custom-built AI training datasets for novel AI use cases
Synthetic data generation and privacy-preserving techniques for augmented training data

CHALLENGES

Impact
Level

Skewed training datasets leading to AI model drift or unethical bias
Diverse dataset formats and inconsistent annotation practices

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising AI applications requiring cross-modal understanding driving demand for multimodal AI training datasets

A prominent driver for the AI training dataset market is the increasing utilization of multimodal AI training datasets, wherein images, texts, videos, and audio are included in building the datasets. Multimodal data is being heavily deployed in novel AI use cases that require the simultaneous use of multiple media types. For instance, Amazon’s Alexa and Google’s Assistant use auditory data for speech recognition, textual data for understanding commands, and visual images from smartphone cameras. Similarly, in healthcare, multimodal datasets are used for X-rays, CT, or MRI images, combined with structured information about the patient and the audio of the doctor’s dialogue with the patient. This allows AI tools to provide a more contextually relevant and precise diagnosis recommendation. This emphasizes the necessity of developing AI models that can simultaneously process multiple forms of information. Due to the increasing complexity of AI use cases, this popularity trend towards multi-modal datasets integration is getting traction across other industries, especially in retail, media & entertainment, and smart home automation.

Restraint: Rapidly changing regulatory environment causing friction in AI training dataset creation and deployment

A key restraint in the AI training dataset market is the growing intricacy of compliance requirements such as GDPR, CCPA, and the recently implemented EU AI Act. Such regulations restrict data gathering, de-identification processes, and procedures on how the data is used during the AI training phase, especially in industries dealing with personally identifiable information (PII). For instance, medical data for AI models must be masked to a very high extent to satisfy privacy regulations, which automatically devalues the data and impacts the model's ability to perform. Starting in August 2024, the EU AI Act will add multiple other layers of data scrutiny focusing on high-risk AI systems. This will likely make it even more difficult for enterprises to access and utilize diverse datasets without breaching regulatory requirements. In addition, the concern about data bias worsens matters because it is costly and complicated to maintain diversity of datasets and simultaneously comply with very tight privacy regulations. All these problems act in unison, creating bottlenecks in developing the AI training dataset market, especially for the case of heavily regulated industries.

Opportunity: Custom-built AI training datasets for novel AI use cases

One of the biggest opportunities in the AI training dataset market is the development of fine-tuned datasets for niche use cases. There is a substantial increase in the demand for specialized datasets with the rise of AI deployment across more focused areas like agriculture, pharma, and finance. Firms that can create and sell these unique datasets can take advantage of vast unexplored markets that need these datasets, as general-purpose datasets are deficient. For instance, precision agriculture relies on AI datasets integrating satellite imagery, soil, and weather information for a higher yield, whilst drug discovery utilizes biochemical data for modelling molecular interactions to develop new therapies effectively. In the same way, in financial services, AI-based systems aimed at detecting fraud use large quantities of data that reflect the client’s transaction behavior in real-time. As the emphasis on domain-focused AI continues to grow, dataset providers have an excellent opportunity to gain a strategic edge in these new market segments.

Challenge: Skewed training datasets leading to AI model drift or unethical bias

A significant challenge in the AI training dataset market is the risk of compromised data quality, fairness, and bias, which can result in skewed outcomes and unintended consequences. One notable example is Amazon’s hiring AI tool, which was found to disadvantage female applicants. The algorithm was trained on a decade’s worth of resumes, predominantly from male candidates, leading the system to favor male applicants while downgrading resumes containing terms like “women” or “female.” This case highlights how biased training data can reinforce existing inequalities and damage corporate reputation. Similar issues have been observed in other domains, such as facial recognition systems, where individuals with darker skin tones have been disproportionately misidentified, sometimes leading to troubling legal implications. These examples underscore the urgent need for diverse, representative training datasets and rigorous data auditing to ensure fairness and mitigate bias in AI systems.

AI Training Dataset Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY	USE CASE DESCRIPTION	BENEFITS
	Appen Enhances Microsoft Translator With Comprehensive AI Training Datasets For 110 Languages	Microsoft Translator expanded its offerings to 110 languages, with Appen supporting data gathering for 108 of those languages. This improved the quality and availability of translations for lesser-known languages, promoting equitable access to knowledge across linguistic barriers.
	Enhancing AI Training Datasets For Pain Reduction Through Hinge Health's Success With Superannotate	The company achieved an annotation accuracy of 95–96%, improving from the previous 80%, which directly enhanced the quality of the AI training datasets. There has been a 50% reduction in the annotation budget due to fewer revisions needed, allowing more resources to be allocated for AI development and optimization of AI training datasets.
	Outreach Enhances AI Training With Label Studio	With the adoption of Label Studio, Outreach achieved a remarkable 25% reduction in development time for new labeling tasks, coupled with a 15–20% increase in the quality of labeled data. This enhanced capability enabled it to run six times more concurrent projects in a single quarter, substantially boosting its operational efficiency. The platform’s ability to provide real-time metrics and analytics on labeling quality further empowered Outreach to maintain high standards for its AI training datasets, ensuring the success of its machine learning initiatives and the overall effectiveness of its sales engagement tools.
	Encord Addresses Key Challenges In Surgical Video Annotation For Enhanced Data Quality and Efficiency	Following the integration of Encord, SDSC achieved a tenfold increase in annotation speed while progressing toward a goal of zero percent annotation errors, reduced from an initial rate of twenty percent. The organization successfully annotated 100 hours of surgical procedures within four months, significantly enhancing productivity. Additionally, Encord's analytics provided valuable insights into the annotation process and its overall quality.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The AI training dataset ecosystem includes software providers like Shaip, Scale AI, and Microsoft. Services are offered by companies like AWS, Labelbox, and Transperfect.

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

AI Training Dataset Market, By Offering

In 2024, data labeling and annotation software accounted for the largest market share in the AI training dataset market. This dominance is driven by the growing demand for automation in dataset preparation, reducing time and costs associated with manual labeling. Organizations are increasingly adopting advanced annotation platforms with integrated features like quality control, versioning, and collaboration tools. These platforms also support scalable labeling workflows across diverse modalities, making them attractive to enterprises training large and complex AI models. With rising volumes of unstructured data, software-based solutions offer the efficiency and repeatability required to meet enterprise AI development timelines, giving them an edge over service-driven approaches.

AI Training Dataset Market, By Annotation Type

The synthetic dataset segment is projected to record the highest CAGR between 2024 and 2029. The surge is fueled by the limitations of real-world data, such as scarcity, high labeling costs, and privacy concerns. Synthetic data generation, powered by generative AI, enables the creation of large, diverse, and bias-controlled datasets at scale. This capability is particularly important in sectors like autonomous driving, healthcare, and finance, where sensitive or rare-event data is difficult to obtain. Additionally, synthetic datasets provide flexibility for edge-case testing and model robustness, reducing dependency on manual collection. As enterprises prioritize faster AI model development with improved generalization, synthetic data adoption is becoming central to AI training strategies.

AI Training Dataset Market, By Data Modality

The multimodal segment is anticipated to register the highest CAGR during 2024–2029. The rising adoption of large multimodal models (LMMs) such as GPT-4V and Gemini has created strong demand for datasets that combine text, image, audio, and video inputs. Enterprises are investing in multimodal datasets to build AI systems that can understand, reason, and interact across different data formats, enabling use cases like virtual assistants, autonomous systems, and healthcare diagnostics. Growing demand for immersive and context-rich AI experiences in industries such as retail, education, and media is also accelerating this trend. The ability of multimodal datasets to drive more human-like AI performance makes them the fastest-growing segment.

AI Training dataset market, By type

Within the type segmentation, recommendation systems under the "Other AI" category are expected to grow at the highest CAGR between 2024 and 2029. The rapid expansion of personalization-driven applications in e-commerce, media streaming, and financial services supports this growth. Recommendation engines rely heavily on large, diverse, and well-annotated datasets to improve accuracy and user engagement. With consumers demanding more tailored digital experiences, enterprises prioritize investments in training data for recommendation models. Additionally, the shift toward hybrid models that combine collaborative filtering with deep learning further increases the need for structured training data. The segment’s scalability across industries positions it as the fastest-growing use case within AI training datasets.

AI Training Dataset Market, By Enterprise

In 2024, software and technology providers accounted for the largest share of the AI training dataset market. These organizations are the primary developers and deployers of AI systems, requiring vast volumes of diverse and high-quality datasets to train advanced models. Big tech firms, cloud providers, and AI startups continuously invest in expanding proprietary datasets to gain competitive advantages in areas like generative AI, natural language processing, and computer vision. Furthermore, these providers often act as enablers for other industries, supplying pre-trained models and tools that rely on curated datasets. Their central role in AI innovation and ecosystem development explains their dominance in dataset consumption.

REGION

Asia Pacific to be the fastest-growing region in the global AI training dataset market during the forecast period.

The market for AI training datasets in the Asia Pacific is set to expand substantially as a result of growing investments and proactive initiatives from enterprises. For instance, China’s autonomous driving sector is leveraging massive datasets like Baidu’s Apollo, which has recorded over 10 million kilometers of real-world driving data to train and refine self-driving algorithms. Additionally, India’s agritech sector is harnessing AI to tackle agricultural challenges. The Indian government-backed initiative AgriStack aims to create a digital ecosystem by compiling extensive datasets from soil conditions to crop growth patterns, which in turn powers AI solutions for farmers. Singapore's Smart Nation project is another case in point of a government policy aimed at enhancing data shareability by adopting an open data architecture.

AI Training Dataset Market: COMPANY EVALUATION MATRIX

In the AI training dataset market, Scale AI is positioned as a Star player, reflecting its strong product footprint and large market share, driven by its advanced data annotation platforms, synthetic data capabilities, and established enterprise client base. Cogito Tech is highlighted as an Emerging Leader, showcasing steady growth through its specialized annotation services, domain expertise, and flexible outsourcing models. This positioning indicates Scale AI’s maturity and dominance, while Cogito Tech is gaining traction as a promising player in an expanding market.

AI Training Dataset Market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC	DETAILS
Market Size in 2023 (Value)	USD 2.27 Billion
Market Forecast in 2029 (Value)	USD 9.58 Billion
Growth Rate	27.70%
Years Considered	2019–2029
Base Year	2023
Forecast Period	2024 – 2029
Units Considered	Value (USD MN/BN)
Report Coverage	Company ranking, competitive landscape, growth factors, and trends
Segments Covered	By Offering: Software and Services By Annotation Type: Pre-labelled Dataset Unlabelled Dataset and Synthetic Dataset By Data Type: Text Image Audio & Speech Video and Multimodal By Type: Generative AI and other AI By Enterprise: BFSI Telecommunications Government & Defense Healthcare & Life sciences Manufacturing Retail & Consumer Goods Software & Technology Provider Automotive Media & Entertainment and Other Enterprises
Regions Covered	North America, Asia Pacific, Europe, South America, Middle East & Africa

WHAT IS IN IT FOR YOU: AI Training Dataset Market REPORT CONTENT GUIDE

AI Training Dataset Market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST	CUSTOMIZATION DELIVERED	VALUE ADDS
Leading AI Training Dataset Vendor	Competitive profiling of additional direct competitors Product benchmarking based on parameters End-user adoption analysis	Understanding focus areas Highlight opportunities for cost reduction & efficiency Insights into enterprise adoption priorities
Leading AI Training Dataset Vendor	Europe Region-specific market size & forecast Market opportunities Pricing analysis & client sentiment Deployment trend study	Insights on growing regional market Research and development spending Vertical-based growth opportunities Strategic deployment insights

RECENT DEVELOPMENTS

December 2024 : iMerit launched ANCOR, an AI-driven Radiology Image Annotation Co-Pilot, at the Radiological Society of North America (RSNA) conference. Integrated with iMerit’s Ango Hub, ANCOR enhances efficiency and accuracy in radiology AI development by automating repetitive tasks, providing real-time expert guidance, and improving annotation speeds.
November 2024 : Labelbox and Handshake partnered to enhance AI training dataset quality by connecting AI labs with top-tier talent for data labeling and model evaluation. This partnership leverages AI-assisted vetting and reinforcement learning from human feedback (RLHF) to ensure high-quality annotations, accelerating AI model development?.
November 2024 : Microsoft Azure and Scale AI announced a collaboration to accelerate enterprise adoption of generative AI. By combining Scale’s expertise in data transformation and fine-tuning with Azure AI services, enterprises can build end-to-end AI solutions tailored to their unique needs. This partnership enhances Azure AI models, including Azure OpenAI Service, improving performance while reducing production time.
September 2024 : Innodata launched its AI Data Marketplace, an innovative platform offering on-demand datasets designed to streamline AI/ML model training. With a focus on curated synthetic document datasets and plans for expansion, this marketplace empowers data science teams to tackle challenges related to data volume, variety, and privacy.
September 2024 : AWS enhanced AWS SageMaker Data Wrangler with several new features, such as the ability to create a Data Quality and Insights report, import data from Salesforce Data Cloud, and export data flows to inference endpoints. It also supports importing data from SaaS platforms and Databricks, transforming time series data, and using Principal Component Analysis (PCA) as a transform method.

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TITLE

PAGE NO

INTRODUCTION

RESEARCH METHODOLOGY

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW AND INDUSTRY TRENDS (STRATEGIC DRIVERS WITH QUANTITATIVE IMPLICATIONS)
UNPACKING THE FORCES SHAPING AI TRAINING DATASET ADOPTION & FUTURE GROWTH OPPORTUNITIES

5.1 INTRODUCTION
5.2 MARKET DYNAMICS

DRIVERS

- Increasing need for diverse and continuously updated multimodal datasets for generative AI models

- Rising use of multilingual datasets in conversational AI

- Growing demand for high-quality labeled data for autonomous vehicles

- Rising adoption of synthetic data for rare event simulation

RESTRAINTS

- Legal risks of web-scraped data due to copyright infringement

- Limited access to high-quality medical datasets due to HIPAA compliance

OPPORTUNITIES

- Growing demand for specialized data annotation services in diverse fields

- Synthetic data generation and privacy-preserving techniques for augmented training data

- Creation of customized AI datasets and specialized formats for enterprise solutions

CHALLENGES

- Data quality and relevance issues

- Diverse dataset formats and inconsistent annotation practices
5.3 EVOLUTION OF AI TRAINING DATASET
5.4 SUPPLY CHAIN ANALYSIS
5.5 ECOSYSTEM

DATA COLLECTION SOFTWARE PROVIDERS

DATA LABELING AND ANNOTATION SOFTWARE PROVIDERS

OFF-THE-SHELF (OTS)
DATASET PROVIDERS

DATA COLLECTION SERVICE PROVIDERS

DATA ANNOTATION & LABELLING SERVICE PROVIDERS

DATA VALIDATION SERVICE PROVIDERS
5.6 INVESTMENT AND FUNDING SCENARIO
5.7 IMPACT OF GENERATIVE AI ON AI TRAINING DATASET MARKET

DATA AUGMENTATION FOR IMAGE RECOGNITION

SYNTHETIC TEXT GENERATION FOR NLP

SPEECH AND AUDIO DATA SYNTHESIS

SIMULATED USER INTERACTION DATA

BIAS MITIGATION IN DATASETS

SCENARIO TESTING FOR PREDICTIVE MODELS
5.8 CASE STUDY ANALYSIS

CASE STUDY 1: CLICKWORKER BOOSTS AI TRAINING DATASET FOR AUTOMOTIVE SYSTEMS, IMPROVING SPEECH RECOGNITION ACCURACY

CASE STUDY 2: APPEN ENHANCES MICROSOFT TRANSLATOR WITH COMPREHENSIVE AI TRAINING DATASETS FOR 110 LANGUAGES

CASE STUDY 3: COGITO TECH LLC ENHANCES CARDIAC SURGERY WITH AI-DRIVEN AORTIC VALVE DATASETS

CASE STUDY 4: ENHANCING AI TRAINING DATASETS FOR PAIN REDUCTION THROUGH HINGE HEALTH'S SUCCESS WITH SUPERANNOTATE

CASE STUDY 5: OUTREACH ENHANCES AI TRAINING WITH LABEL STUDIO

CASE STUDY 6: ENCORD ADDRESSES KEY CHALLENGES IN SURGICAL VIDEO ANNOTATION FOR ENHANCED DATA QUALITY AND EFFICIENCY
5.9 TECHNOLOGY ANALYSIS

KEY TECHNOLOGIES

- Data labeling and annotation

- Synthetic data generation

- Data augmentation

- Human-in-the-loop (HITL)
feedback systems

- Active learning

- Data cleansing and preprocessing

- Bias detection and mitigation

- Dataset versioning and management

COMPLEMENTARY TECHNOLOGIES

- Cloud storage and data lakes

- MLOps and model management

- Data governance

- Machine learning frameworks

ADJACENT TECHNOLOGIES

- Federated learning

- Edge AI for data processing

- Differential privacy

- AutoML

- Transfer learning
5.10 REGULATORY LANDSCAPE

REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

REGULATIONS: AI TRAINING DATASET

- North America

- Europe

- Asia Pacific

- Middle East & Africa

- Latin America
5.11 PATENT ANALYSIS

METHODOLOGY

PATENTS FILED, BY DOCUMENT TYPE

INNOVATION AND PATENT APPLICATIONS
5.12 PRICING ANALYSIS

PRICING DATA, BY OFFERING

PRICING DATA, BY PRODUCT TYPE
5.13 KEY CONFERENCES AND EVENTS, 2025–2026
5.14 PORTER’S FIVE FORCES ANALYSIS

THREAT OF NEW ENTRANTS

THREAT OF SUBSTITUTES

BARGAINING POWER OF SUPPLIERS

BARGAINING POWER OF BUYERS

INTENSITY OF COMPETITIVE RIVALRY
5.15 KEY STAKEHOLDERS AND BUYING CRITERIA

KEY STAKEHOLDERS IN BUYING PROCESS

BUYING CRITERIA
5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS

AI TRAINING DATASET MARKET, BY OFFERING (MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
DETAILED BREAKDOWN OF MARKET SHARE AND GROWTH ACROSS AI TRAINING DATASET SOFTWARE AND SERVICES

128

6.1 INTRODUCTION

OFFERING: AI TRAINING DATASET MARKET DRIVERS
6.2 SOFTWARE

DATA COLLECTION SOFTWARE

- Increasing demand for real-time, diverse, and domain-specific datasets to enhance AI model accuracy

- Web scraping tools

- Data sourcing API

- Crowdsourcing platforms

- Sensor data collection software

DATA LABELING & ANNOTATION

- Rising adoption of AI-assisted annotation tools and human-in-the-loop platforms for scalable data labeling to propel market

- Image annotation

- Text annotation

- Video annotation

- Audio annotation

- 3D data annotation

SYNTHETIC DATA GENERATION SOFTWARE

- Growing need for privacy-compliant, bias-free, and scalable training data for AI applications

DATA AUGMENTATION SOFTWARE

- Demand for improving AI model generalization and performance with enriched, diverse datasets

OFF-THE-SHELF (OTS)
DATASETS

- Accelerated AI adoption driving the need for pre-labeled, high-quality datasets to reduce development time and costs
6.3 SERVICES

DATA COLLECTION SERVICES

- Expanding AI applications across industries to drive demand for domain-specific, high-quality training data

DATA ANNOTATION & LABELING SERVICES

- Growth in AI/ML adoption requiring scalable, human-in-the-loop annotation platforms for precise model training

DATA VALIDATION SERVICES

- Rising need for high-quality, bias-free, and consistent datasets to improve AI model reliability and compliance

DATASET MARKETPLACES

- Increasing demand for ready-to-use, pre-labeled datasets to accelerate AI model development and reduce time-to-market

AI TRAINING DATASET MARKET, BY ANNOTATION TYPE (MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
DETAILED BREAKDOWN OF MARKET SHARE AND GROWTH ACROSS AI TRAINING DATASET ANNOTATION TYPES

152

7.1 INTRODUCTION

ANNOTATION TYPE: AI TRAINING DATASET MARKET DRIVERS
7.2 PRE-LABELED DATASETS

HIGH-QUALITY PRE-LABELED DATASETS ACCELERATE AI DEVELOPMENT ACROSS VARIOUS SECTORS
7.3 UNLABELED DATASETS

UNLABELED DATASETS ENABLE ROBUST AI MODEL TRAINING
7.4 SYNTHETIC DATASETS

ADVANCEMENTS IN GENERATIVE MODELS ENHANCE QUALITY OF SYNTHETIC DATASETS

AI TRAINING DATASET MARKET, BY DATA MODALITY (MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
DETAILED BREAKDOWN OF MARKET SHARE AND GROWTH ACROSS AI TRAINING DATASET DATA MODALITIES

159

8.1 INTRODUCTION

DATA TYPE: AI TRAINING DATASET MARKET DRIVERS
8.2 TEXT

BUSINESSES PRIORITIZE CURATING DIVERSE, LABELED TEXT DATASETS TO ENHANCE MODEL ACCURACY

TEXT CLASSIFICATION

CHATBOTS

SENTIMENT ANALYSIS

DOCUMENT PARSING

OTHER TEXT DATA MODALITIES
8.3 IMAGE

ADVANCEMENTS IN DEEP LEARNING TECHNIQUES, PARTICULARLY CONVOLUTIONAL NEURAL NETWORKS, ELEVATE ROLE OF IMAGE DATA IN AI DEVELOPMENT

OBJECT DETECTION

FACIAL RECOGNITION

MEDICAL IMAGING

SATELLITE IMAGERY

OTHER IMAGE DATA MODALITIES
8.4 AUDIO & SPEECH

RISING POPULARITY OF VOICE-ACTIVATED TECHNOLOGIES FUELS DEMAND FOR DIVERSE, HIGH-QUALITY AUDIO DATASETS

SPEECH RECOGNITION

AUDIO CLASSIFICATION

MUSIC GENERATION

VOICE SYNTHESIS

OTHER AUDIO & SPEECH DATA MODALITIES
8.5 VIDEO

SURGE IN DEMAND FOR HIGH-QUALITY LABELED VIDEO DATASETS AS ORGANIZATIONS SEEK TO HARNESS VIDEO CONTENT POTENTIAL

ACTION RECOGNITION

AUTONOMOUS DRIVING

VIDEO SURVEILLANCE

VIDEO CONTENT MODERATION

OTHER VIDEO DATA MODALITIES
8.6 MULTIMODAL

RISING DEMAND FOR MULTIMODAL DATASETS BOOSTS INNOVATION AND ADVANCES IN AI APPLICATIONS

SPEECH-TO-TEXT

CONTENT RECOMMENDATION

VISUAL QUESTION ANSWERING (VQA)

MULTIMODAL ANALYTICS

OTHER MULTIMODALITIES

AI TRAINING DATASET MARKET, BY TYPE MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
DETAILED BREAKDOWN OF MARKET SHARE AND GROWTH ACROSS AI TRAINING DATASET TYPES

193

9.1 INTRODUCTION

TYPE: AI TRAINING DATASET MARKET DRIVERS
9.2 GENERATIVE AI

GENERATIVE AI REVOLUTIONIZES CREATIVITY ACROSS INDUSTRIES THROUGH DIVERSE TRAINING DATASETS

LLM EVALUATION

RAG OPTIMIZATION

LLM FINE TUNING

CONVERSATIONAL AGENTS

CONTENT CREATION

CODE GENERATION

OTHER GENERATIVE AI
9.3 OTHER AI

RISING ROLE OF NLP AND COMPUTER VISION IN ENTERPRISE AI APPLICATIONS TO BOOST OTHER AI DATASET DEMAND

NATURAL LANGUAGE PROCESSING (NLP)

- Text classification

- Named entity recognition (NER)

- Sentiment analysis

- Document parsing and extraction

COMPUTER VISION

- Image classification

- Object detection

- Video analysis

- Optical character recognition (OCR)

PREDICTIVE ANALYTICS

- Time series forecasting

- Anomaly detection

- Customer behavior prediction

- Risk scoring and management

RECOMMENDATION SYSTEMS

- Product and content recommendations

- Personalized marketing and ads

- Collaborative filtering

SPEECH AND AUDIO PROCESSING

- Speech recognition

- Audio classification

- Voice command recognition

- Speech-to-text transcription

OTHER TYPES

AI TRAINING DATASET MARKET, BY END USER (MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
END USER SPECIFIC MARKET SIZING, GROWTH, AND KEY TRENDS

232

10.1 INTRODUCTION

END USER: AI TRAINING DATASET MARKET DRIVERS
10.2 BFSI

FINANCIAL INSTITUTIONS LEVERAGE AI TRAINING DATASETS TO ENHANCE FRAUD DETECTION AND RISK MANAGEMENT

BANKING

FINANCIAL SERVICES

INSURANCE
10.3 TELECOMMUNICATIONS

TELECOM COMPANIES BOOST PERFORMANCE AND CUSTOMER SERVICES WITH AI-POWERED INTELLIGENT SYSTEMS
10.4 GOVERNMENT & DEFENSE

AI TRAINING DATASETS PROPEL ADVANCES IN NATIONAL SECURITY AND DEFENSE OPERATIONS
10.5 HEALTHCARE & LIFE SCIENCES

AI TRAINING DATASETS SPEARHEAD TRANSFORMATIVE BREAKTHROUGHS IN PRECISION MEDICINE AND DIAGNOSTICS
10.6 MANUFACTURING

AI TRAINING DATASETS DRIVE EFFICIENCY IN MANUFACTURING WITH AUTOMATION AND PREDICTIVE MAINTENANCE
10.7 RETAIL & CONSUMER GOODS

RETAILERS ENHANCE PERSONALIZED CUSTOMER EXPERIENCES WITH AI-DRIVEN RECOMMENDATIONS AND OPTIMIZED SUPPLY CHAINS
10.8 SOFTWARE & TECHNOLOGY PROVIDERS

INNOVATION ACCELERATES AS SOFTWARE AND TECHNOLOGY PROVIDERS HARNESS AI TRAINING DATASETS FOR CUTTING-EDGE SOLUTIONS

CLOUD HYPERSCALERS

FOUNDATION MODEL/LLM PROVIDERS

AI TECHNOLOGY PROVIDERS

IT & IT-ENABLED SERVICE PROVIDERS
10.9 AUTOMOTIVE

RAPID ADVANCEMENTS IN AUTONOMOUS VEHICLE DEVELOPMENT FUELED BY AI TRAINING DATASETS CAPTURING REAL-WORLD DRIVING BEHAVIORS AND CONDITIONS
10.10 MEDIA & ENTERTAINMENT

AI TRAINING DATASETS FUEL INNOVATION IN CONTENT CREATION ACROSS MEDIA, GAMING, AND ENTERTAINMENT INDUSTRIES
10.11 OTHER END USERS

AI TRAINING DATASET MARKET, BY REGION (MARKET SIZE & FORECAST TO 2030 – IN VALUE (USD))
REGIONAL MARKET SIZING, FORECASTS, AND REGULATORY LANDSCAPES

254

11.1 INTRODUCTION
11.2 NORTH AMERICA

NORTH AMERICA: AI TRAINING DATASET MARKET DRIVERS

NORTH AMERICA: MACROECONOMIC OUTLOOK

US

- Reliance of companies across various sectors on large, diverse datasets to improve accuracy and performance of AI algorithms to drive market

CANADA

- Government focus on gathering insights from stakeholders to maximize AI investment benefits to drive market
11.3 EUROPE

EUROPE: AI TRAINING DATASET MARKET DRIVERS

EUROPE: MACROECONOMIC OUTLOOK

UK

- Rising demand for quality data and innovative solutions from various sectors to drive market

GERMANY

- Industry demand, government support, and data privacy regulations to drive market

FRANCE

- Increasing adoption of AI solutions by tech companies and startups to maintain competitive edge

ITALY

- Advances in data collection and management enable companies to access diverse datasets tailored to various AI applications

SPAIN

- Strategic government initiatives and industry innovation to drive market

NETHERLANDS

- Focus on ethical AI and expanding digital infrastructure to accelerate demand for high-quality, diverse training datasets

REST OF EUROPE
11.4 ASIA PACIFIC

ASIA PACIFIC: AI TRAINING DATASET MARKET DRIVERS

ASIA PACIFIC: MACROECONOMIC OUTLOOK

CHINA

- Increasing demand for high-quality data for training models from various sectors to drive market

JAPAN

- Supportive government policies and strategic corporate initiatives to drive market

INDIA

- Increasing demand for AI solutions across various sectors to drive market

SOUTH KOREA

- Increasing AI adoption and necessity for high-quality datasets to drive market

AUSTRALIA

- Demand for quality data and ethical standards to drive market

SINGAPORE

- Initiatives like Infocomm Media Development Authority (IMDA)
promote data literacy and use of AI

REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA

MIDDLE EAST & AFRICA: AI TRAINING DATASET MARKET DRIVERS

MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK

MIDDLE EAST

- UAE

- Saudi Arabia

- Qatar

- Turkey

- Rest of Middle East

AFRICA

- Increasing potential for AI application in various sectors to drive market
11.6 LATIN AMERICA

LATIN AMERICA: AI TRAINING DATASET MARKET DRIVERS

LATIN AMERICA: MACROECONOMIC OUTLOOK

BRAZIL

- Growth in IT and healthcare sectors to drive market

MEXICO

- Government initiatives and private sector investments to drive market

ARGENTINA

- Government transparency initiatives and startup support to drive market

REST OF LATIN AMERICA

COMPETITIVE LANDSCAPE
STRATEGIC PROFILES OF LEADING PLAYERS & THEIR PLAYBOOKS FOR MARKET DOMINANCE

322

12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021–2024
12.3 REVENUE ANALYSIS, 2019–2023
12.4 MARKET SHARE ANALYSIS, 2023

MARKET RANKING ANALYSIS
12.5 PRODUCT COMPARATIVE ANALYSIS

AWS SAGEMAKER (AWS)

AI DATA PLATFORM (APPEN)

SAMA PLATFORM (SAMA)

DATA ENGINE, SCALE GEN AI PLATFORM (SCALE AI)

IMERIT PLATFORMS (IMERIT)
12.6 COMPANY VALUATION AND FINANCIAL METRICS, 2024
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023

SOFTWARE PROVIDERS

- Stars

- Emerging leaders

- Pervasive players

- Participants

COMPANY FOOTPRINT: KEY PLAYERS (SOFTWARE PROVIDERS), 2023

- Company footprint (software providers)

- Regional footprint (software providers)

- Offering footprint (software providers)

- Data modality footprint (software providers)

- End-user footprint (software providers)

SERVICE PROVIDERS

- Stars

- Emerging leaders

- Pervasive players

- Participants

COMPANY FOOTPRINT: KEY PLAYERS (SERVICE PROVIDERS), 2023

- Company footprint (service providers)

- Regional footprint (service providers)

- Offering footprint (service providers)

- Data modality footprint (service providers)

- End user footprint (service providers)
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023

SOFTWARE PROVIDERS

- Progressive companies

- Responsive companies

- Dynamic companies

- Starting blocks

COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023

- Detailed list of key startups/SMEs (software providers)

- Competitive Benchmarking Of Key Startups/Smes (Software Providers)

SERVICE PROVIDERS

- Progressive companies

- Responsive companies

- Dynamic companies

- Starting blocks

COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023

- Detailed list of key start-ups/SMEs (Service Providers)

- Competitive Benchmarking of Key Start-ups/SMEs (Service Providers)
12.9 COMPETITIVE SCENARIO

PRODUCT LAUNCHES AND ENHANCEMENTS

DEALS

COMPANY PROFILES
IN-DEPTH LOOK AT THEIR STRENGTHS, WEAKNESSES, PRODUCT PORTFOLIOS, RECENT DEVELOPMENTS, AND STRATEGIC MOVES

355

13.1 INTRODUCTION
13.2 KEY PLAYERS

GOOGLE

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

MICROSOFT

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

AWS

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

APPEN

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

NVIDIA

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

IBM

- Business overview

- Products/Solutions/Services offered

TELUS INTERNATIONAL

- Business overview

- Products/Solutions/Services offered

INNODATA

- Business overview

- Products/Solutions/Services offered

- Recent developments

COGITO TECH

- Business overview

- Products/Solutions/Services offered

SAMA

- Business overview

- Products/Solutions/Services offered

- Recent developments

CLICKWORKER

TRANSPERFECT

CLOUDFACTORY

IMERIT

SCALE AI
13.3 STARTUPS/SMES

SNORKEL AI

GRETEL

SHAIP

NEXDATA

BITEXT

AIMLEAP

ALEGION

DEEP VISION DATA

LABELBOX

V7LABS

DEFINED.AI

SUPERANNOTATE

TOLOKA AI

KILI TECHNOLOGY

HUMANSIGNAL

SUPERB AI

HUGGING FACE

FILEMARKET

TAGX

ROBOFLOW

SUPERVISELY

ENCORD

KEYLABS

LXT

VAISUAL

DATUMO

TWINE AI

MOSTLY AI

FUTUREBEEAI

PIXTA AI

ADJACENT AND RELATED MARKETS

410

14.1 INTRODUCTION
14.2 DATA ANNOTATION AND LABELING MARKET

MARKET DEFINITION

MARKET OVERVIEW

- Data annotation and labeling market, by component

- Data annotation and labeling market, by data type

- Data annotation and labeling market, by deployment type

- Data annotation and labeling market, by organization size

- Data annotation and labeling market, by annotation type

- Data annotation and labeling market, by application

- Data annotation and labeling market, by vertical

- Data annotation and labeling market, by region
14.3 SYNTHETIC DATA GENERATION MARKET

MARKET DEFINITION

MARKET OVERVIEW

- Synthetic data generation market, by offering

- Synthetic data generation market, by data type

- Synthetic data generation market, by application

- Synthetic data generation market, by vertical

- Synthetic data generation market, by region

APPENDIX

425

15.1 DISCUSSION GUIDE
15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.3 CUSTOMIZATION OPTIONS
15.4 RELATED REPORTS
15.5 AUTHOR DETAILS

LIST OF TABLES

TABLE 1 AI TRAINING DATASET MARKET DETAILED SEGMENTATION
TABLE 2 USD EXCHANGE RATE, 2019–2023
TABLE 3 PRIMARY INTERVIEWS
TABLE 4 FACTOR ANALYSIS
TABLE 5 MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %)
TABLE 6 MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %)
TABLE 7 MARKET: ECOSYSTEM
TABLE 8 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 9 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 12 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 13 PATENTS FILED, 2015–2025
TABLE 14 LIST OF FEW PATENTS IN MARKET, 2022–2024
TABLE 15 PRICING DATA OF AI TRAINING DATASETS, BY OFFERING
TABLE 16 PRICING DATA OF AI TRAINING DATASETS, BY PRODUCT TYPE
TABLE 17 MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2025–2026
TABLE 18 IMPACT OF PORTER’S FIVE FORCES ON MARKET
TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
TABLE 20 KEY BUYING CRITERIA FOR TOP THREE END USERS
TABLE 21 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 22 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 23 SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 24 SOFTWARE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 25 DATA COLLECTION SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 26 DATA COLLECTION SOFTWARE: : MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 27 WEB SCRAPING TOOLS: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 28 WEB SCRAPING TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 29 DATA SOURCING API: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 30 DATA SOURCING API: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 31 CROWDSOURCING PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 32 CROWDSOURCING PLATFORMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 SENSOR DATA COLLECTION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 34 SENSOR DATA COLLECTION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 DATA LABELING & ANNOTATION SOFTWARE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 36 DATA LABELING & ANNOTATION: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 37 IMAGE ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 38 IMAGE ANNOTATION: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 39 TEXT ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 40 TEXT ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 41 VIDEO ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 42 VIDEO ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 43 AUDIO ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 44 AUDIO ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 45 3D DATA ANNOTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 46 3D DATA ANNOTATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 47 SYNTHETIC DATA GENERATION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 48 SYNTHETIC DATA GENERATION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 49 DATA AUGMENTATION SOFTWARE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 50 DATA AUGMENTATION SOFTWARE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 OFF-THE-SHELF (OTS)
DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 52 OFF-THE-SHELF (OTS)
DATASETS: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 53 SERVICES: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 54 SERVICES: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 55 DATA COLLECTION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 56 DATA COLLECTION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 57 DATA ANNOTATION & LABELING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 58 DATA ANNOTATION & LABELING SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 59 DATA VALIDATION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 60 DATA VALIDATION SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 61 DATASET MARKETPLACES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 62 DATASET MARKETPLACES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 63 MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 64 MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 65 PRE-LABELED DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 66 PRE-LABELED DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 UNLABELED DATASETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 68 UNLABELED DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 69 SYNTHETIC DATASETS: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 70 SYNTHETIC DATASETS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 71 MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 72 MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 73 TEXT: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 74 TEXT: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 75 TEXT CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 76 TEXT CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 77 CHATBOTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 78 CHATBOTS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 79 SENTIMENT ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 80 SENTIMENT ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 81 DOCUMENT PARSING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 82 DOCUMENT PARSING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 83 OTHER TEXT DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 84 OTHER TEXT DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 85 IMAGE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 86 IMAGE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 87 OBJECT DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 88 OBJECT DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 89 FACIAL RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 90 FACIAL RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 91 MEDICAL IMAGING: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 92 MEDICAL IMAGING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 93 SATELLITE IMAGERY: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 94 SATELLITE IMAGERY: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 95 OTHER IMAGE DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 96 OTHER IMAGE DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 97 AUDIO & SPEECH: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 98 AUDIO & SPEECH: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 99 SPEECH RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 100 SPEECH RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 101 AUDIO CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 102 AUDIO CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 103 MUSIC GENERATION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 104 MUSIC GENERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 105 VOICE SYNTHESIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 106 VOICE SYNTHESIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 107 OTHER AUDIO & SPEECH DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 108 OTHER AUDIO & SPEECH DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 109 VIDEO: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 110 VIDEO: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 111 ACTION RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 112 ACTION RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 113 AUTONOMOUS DRIVING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 114 AUTONOMOUS DRIVING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 115 VIDEO SURVEILLANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 116 VIDEO SURVEILLANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 117 VIDEO CONTENT MODERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 118 VIDEO CONTENT MODERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 119 OTHER VIDEO DATA MODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 120 OTHER VIDEO DATA MODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 121 MULTIMODAL: AI TRAINING DATASET MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 122 MULTIMODAL: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 123 SPEECH-TO-TEXT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 124 SPEECH-TO-TEXT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 125 CONTENT RECOMMENDATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 126 CONTENT RECOMMENDATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 127 VISUAL QUESTION ANSWERING (VQA): MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 128 VISUAL QUESTION ANSWERING (VQA): MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 129 MULTIMODAL ANALYTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 130 MULTIMODAL ANALYTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 131 OTHER MULTIMODALITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 132 OTHER MULTIMODALITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 133 GENERATIVE AI SEGMENT TO REGISTER HIGHER CAGR THAN OTHER AI SEGMENT DURING FORECAST PERIOD
TABLE 134 MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 135 MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 136 GENERATIVE AI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 137 GENERATIVE AI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 138 LLM EVALUATION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 139 LLM EVALUATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 140 RAG OPTIMIZATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 141 RAG OPTIMIZATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 142 LLM FINE TUNING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 143 LLM FINE TUNING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 144 CONVERSATIONAL AGENTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 145 CONVERSATIONAL AGENTS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 146 CONTENT CREATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 147 CONTENT CREATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 148 CODE GENERATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 149 CODE GENERATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 150 OTHER GENERATIVE AI: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 151 OTHERS: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 152 OTHER AI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 153 OTHER AI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 154 NATURAL LANGUAGE PROCESSING: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 155 NATURAL LANGUAGE PROCESSING: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 156 TEXT CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 157 TEXT CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 158 NAMED ENTITY RECOGNITION (NER): MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 159 NAMED ENTITY RECOGNITION (NER): MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 160 SENTIMENT ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 161 SENTIMENT ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 162 DOCUMENT PARSING AND EXTRACTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 163 DOCUMENT PARSING AND EXTRACTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 164 COMPUTER VISION: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 165 COMPUTER VISION: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 166 IMAGE CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 167 IMAGE CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 168 OBJECT DETECTION: AI TRAINING DATASET MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 169 OBJECT DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 170 VIDEO ANALYSIS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 171 VIDEO ANALYSIS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 172 OPTICAL CHARACTER RECOGNITION (OCR): MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 173 OPTICAL CHARACTER RECOGNITION (OCR): MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 174 PREDICTIVE ANALYTICS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 175 PREDICTIVE ANALYTICS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 176 TIME SERIES FORECASTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 177 TIME SERIES FORECASTING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 178 ANOMALY DETECTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 179 ANOMALY DETECTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 180 CUSTOMER BEHAVIOR PREDICTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 181 CUSTOMER BEHAVIOR PREDICTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 182 RISK SCORING AND MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 183 RISK SCORING AND MANAGEMENT: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 184 RECOMMENDATION SYSTEMS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 185 RECOMMENDATION SYSTEMS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 186 PRODUCT AND CONTENT RECOMMENDATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 187 PRODUCT AND CONTENT RECOMMENDATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 188 PERSONALIZED MARKETING AND ADS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 189 PERSONALIZED MARKETING AND ADS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 190 COLLABORATIVE FILTERING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 191 COLLABORATIVE FILTERING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 192 SPEECH AND AUDIO PROCESSING: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 193 SPEECH AND AUDIO PROCESSING: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 194 SPEECH RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 195 SPEECH RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 196 AUDIO CLASSIFICATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 197 AUDIO CLASSIFICATION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 198 VOICE COMMAND RECOGNITION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 199 VOICE COMMAND RECOGNITION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 200 SPEECH-TO-TEXT TRANSCRIPTION: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 201 SPEECH-TO-TEXT TRANSCRIPTION: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 202 OTHER TYPES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 203 OTHER TYPES: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 204 MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 205 MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 206 BFSI: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 207 BFSI: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 208 BANKING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 209 BANKING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 210 FINANCIAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 211 FINANCIAL SERVICES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 212 INSURANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 213 INSURANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 214 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 215 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 216 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 217 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 218 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 219 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 220 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 221 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 222 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 223 RETAIL & CONSUMER GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 224 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 225 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 226 CLOUD HYPERSCALERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 227 CLOUD HYPERSCALERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 228 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 229 FOUNDATION MODEL/LLM PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 230 AI TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 231 AI TECHNOLOGY PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 232 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 233 IT & IT-ENABLED SERVICE PROVIDERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 234 AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 235 AUTOMOTIVE: AI TRAINING DATASET MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 236 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 237 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 238 OTHER END USERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 239 OTHER END USERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 240 MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 241 MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 242 NORTH AMERICA: AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 243 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 244 NORTH AMERICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
TABLE 245 NORTH AMERICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
TABLE 246 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 247 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 248 NORTH AMERICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 249 NORTH AMERICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 250 NORTH AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 251 NORTH AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 252 NORTH AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 253 NORTH AMERICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 254 NORTH AMERICA: AI TRAINING DATASET MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
TABLE 255 NORTH AMERICA: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
TABLE 256 NORTH AMERICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
TABLE 257 NORTH AMERICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
TABLE 258 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 259 NORTH AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 260 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 261 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 262 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 263 US: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 264 CANADA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 265 CANADA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 266 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 267 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 268 EUROPE: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
TABLE 269 EUROPE: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
TABLE 270 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 271 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 272 EUROPE: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 273 EUROPE: AI TRAINING DATASET MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 274 EUROPE: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 275 EUROPE: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 276 EUROPE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 277 EUROPE: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 278 EUROPE: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
TABLE 279 EUROPE: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
TABLE 280 EUROPE: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
TABLE 281 EUROPE: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
TABLE 282 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 283 EUROPE: MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 284 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 285 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 286 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 287 UK: AI TRAINING DATASET MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 288 GERMANY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 289 GERMANY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 290 FRANCE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 291 FRANCE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 292 ITALY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 293 ITALY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 294 SPAIN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 295 SPAIN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 296 NETHERLANDS: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 297 NETHERLANDS: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 298 REST OF EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 299 REST OF EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 300 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 301 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 302 ASIA PACIFIC: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
TABLE 303 ASIA PACIFIC: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
TABLE 304 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 305 ASIA PACIFIC: AI TRAINING DATASET MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 306 ASIA PACIFIC: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 307 ASIA PACIFIC: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 308 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 309 ASIA PACIFIC: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 310 ASIA PACIFIC: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 311 ASIA PACIFIC: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 312 ASIA PACIFIC: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
TABLE 313 ASIA PACIFIC: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
TABLE 314 ASIA PACIFIC: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
TABLE 315 ASIA PACIFIC: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
TABLE 316 ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 317 ASIA PACIFIC: MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 318 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 319 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 320 CHINA: AI TRAINING DATASET MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 321 CHINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 322 JAPAN: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 323 JAPAN: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 324 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 325 INDIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 326 SOUTH KOREA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 327 SOUTH KOREA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 328 AUSTRALIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 329 AUSTRALIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 330 SINGAPORE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 331 SINGAPORE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 332 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 333 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 334 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 335 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 336 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
TABLE 337 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
TABLE 338 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 339 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 340 MIDDLE EAST & AFRICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 341 MIDDLE EAST & AFRICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 342 MIDDLE EAST & AFRICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 343 MIDDLE EAST & AFRICA: AI TRAINING DATASET MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 344 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 345 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 346 MIDDLE EAST & AFRICA: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
TABLE 347 MIDDLE EAST & AFRICA: MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
TABLE 348 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
TABLE 349 MIDDLE EAST & AFRICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
TABLE 350 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 351 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 352 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 353 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 354 MIDDLE EAST: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 355 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 356 UAE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 357 UAE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 358 SAUDI ARABIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 359 SAUDI ARABIA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 360 QATAR: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 361 QATAR: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 362 TURKEY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 363 TURKEY: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 364 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 365 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 366 AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 367 AFRICA: AI TRAINING DATASET MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 368 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 369 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 370 LATIN AMERICA: MARKET, BY SOFTWARE, 2019–2023 (USD MILLION)
TABLE 371 LATIN AMERICA: MARKET, BY SOFTWARE, 2024–2029 (USD MILLION)
TABLE 372 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 373 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 374 LATIN AMERICA: MARKET, BY ANNOTATION TYPE, 2019–2023 (USD MILLION)
TABLE 375 LATIN AMERICA: MARKET, BY ANNOTATION TYPE, 2024–2029 (USD MILLION)
TABLE 376 LATIN AMERICA: MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
TABLE 377 LATIN AMERICA: MARKET, BY DATA MODALITY, 2024–2029 (USD MILLION)
TABLE 378 LATIN AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
TABLE 379 LATIN AMERICA: MARKET, BY TYPE, 2024–2029 (USD MILLION)
TABLE 380 LATIN AMERICA: MARKET, BY GENERATIVE AI, 2019–2023 (USD MILLION)
TABLE 381 LATIN AMERICA: AI TRAINING DATASET MARKET, BY GENERATIVE AI, 2024–2029 (USD MILLION)
TABLE 382 LATIN AMERICA: MARKET, BY OTHER AI, 2019–2023 (USD MILLION)
TABLE 383 LATIN AMERICA: MARKET, BY OTHER AI, 2024–2029 (USD MILLION)
TABLE 384 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
TABLE 385 LATIN AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
TABLE 386 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 387 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 388 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 389 BRAZIL: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 390 MEXICO: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 391 MEXICO: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 392 ARGENTINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 393 ARGENTINA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 394 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 395 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 396 MARKET: DEGREE OF COMPETITION
TABLE 397 MARKET: REGIONAL FOOTPRINT
TABLE 398 MARKET: OFFERING FOOTPRINT
TABLE 399 AI TRAINING DATASET MARKET: DATA MODALITY FOOTPRINT
TABLE 400 MARKET: END-USER FOOTPRINT
TABLE 401 MARKET: REGIONAL FOOTPRINT
TABLE 402 MARKET: OFFERING FOOTPRINT
TABLE 403 MARKET: DATA MODALITY FOOTPRINT
TABLE 404 MARKET: END USER FOOTPRINT
TABLE 405 MARKET: KEY STARTUPS/SMES
TABLE 406 MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
TABLE 407 MARKET: KEY START-UPS/SMES
TABLE 408 MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
TABLE 409 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–OCTOBER 2024
TABLE 410 MARKET: DEALS, JANUARY 2021–OCTOBER 2024
TABLE 411 GOOGLE: COMPANY OVERVIEW
TABLE 412 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 413 GOOGLE: PRODUCT ENHANCEMENTS
TABLE 414 GOOGLE: DEALS
TABLE 415 MICROSOFT: COMPANY OVERVIEW
TABLE 416 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 417 MICROSOFT: PRODUCT ENHANCEMENTS
TABLE 418 AWS: COMPANY OVERVIEW
TABLE 419 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 420 AWS: PRODUCT ENHANCEMENTS
TABLE 421 AWS: DEALS
TABLE 422 APPEN: COMPANY OVERVIEW
TABLE 423 APPEN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 424 APPEN: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 425 APPEN: DEALS
TABLE 426 NVIDIA: COMPANY OVERVIEW
TABLE 427 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 428 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 429 IBM: COMPANY OVERVIEW
TABLE 430 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 431 TELUS INTERNATIONAL: COMPANY OVERVIEW
TABLE 432 TELUS INTERNATIONAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 433 INNODATA: COMPANY OVERVIEW
TABLE 434 INNODATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 435 INNODATA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 436 COGITO TECH: COMPANY OVERVIEW
TABLE 437 COGITO TECH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 438 SAMA: COMPANY OVERVIEW
TABLE 439 SAMA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 440 SAMA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 441 DATA ANNOTATION AND LABELING MARKET, BY COMPONENT, 2019–2021 (USD MILLION)
TABLE 442 DATA ANNOTATION AND LABELING MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 443 DATA ANNOTATION AND LABELING MARKET, BY DATA TYPE, 2019–2021 (USD MILLION)
TABLE 444 DATA ANNOTATION AND LABELING MARKET, BY DATA TYPE, 2022–2027 (USD MILLION)
TABLE 445 DATA ANNOTATION AND LABELING MARKET, BY DEPLOYMENT TYPE, 2019–2021 (USD MILLION)
TABLE 446 DATA ANNOTATION AND LABELING MARKET, BY DEPLOYMENT TYPE, 2022–2027 (USD MILLION)
TABLE 447 DATA ANNOTATION AND LABELING MARKET, BY ORGANIZATION SIZE, 2019–2021 (USD MILLION)
TABLE 448 DATA ANNOTATION AND LABELING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 449 DATA ANNOTATION AND LABELING MARKET, BY ANNOTATION TYPE, 2019–2021 (USD MILLION)
TABLE 450 DATA ANNOTATION AND LABELING MARKET, BY ANNOTATION TYPE, 2022–2027 (USD MILLION)
TABLE 451 DATA ANNOTATION AND LABELING MARKET, BY APPLICATION, 2019–2021 (USD MILLION)
TABLE 452 DATA ANNOTATION AND LABELING MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
TABLE 453 DATA ANNOTATION AND LABELING MARKET, BY VERTICAL, 2019–2021 (USD MILLION)
TABLE 454 DATA ANNOTATION AND LABELING MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 455 DATA ANNOTATION AND LABELING MARKET, BY REGION, 2019–2021 (USD MILLION)
TABLE 456 DATA ANNOTATION AND LABELING MARKET, BY REGION, 2022–2027 (USD MILLION)
TABLE 457 SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 458 SYNTHETIC DATA GENERATION MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 459 SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2019–2022 (USD MILLION)
TABLE 460 SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE, 2023–2028 (USD MILLION)
TABLE 461 SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 462 SYNTHETIC DATA GENERATION MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 463 SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
TABLE 464 SYNTHETIC DATA GENERATION MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 465 SYNTHETIC DATA GENERATION MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 466 SYNTHETIC DATA GENERATION MARKET, BY REGION, 2023–2028 (USD MILLION)

LIST OF FIGURES

FIGURE 1 MARKET: RESEARCH DESIGN
FIGURE 2 DATA TRIANGULATION
FIGURE 3 AI TRAINING DATASET MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM PRODUCT TYPES OF MARKET
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI TRAINING DATASET MARKET
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF MARKET
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AI TRAINING DATASETS THROUGH OVERALL AI SPENDING
FIGURE 8 SOFTWARE SEGMENT TO LEAD MARKET IN 2024
FIGURE 9 DATASET LABELLING & ANNOTATION SOFTWARE SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 10 DATA LABELING & ANNOTATION SERVICES SEGMENT TO LEAD MARKET IN 2024
FIGURE 11 PRE-LABELED DATASETS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 12 TEXT DATA MODALITY SEGMENT TO LEAD MARKET IN 2024
FIGURE 13 OTHER AI SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 14 LLM FINE TUNING SEGMENT TO LEAD MARKET IN 2024
FIGURE 15 NATURAL LANGUAGE PROCESSING SEGMENT TO EMERGE MARKET LEADER IN 2024
FIGURE 16 HEALTHCARE & LIFE SCIENCES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 17 ASIA PACIFIC TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
FIGURE 18 SOARING DEMAND FOR HIGH-QUALITY, SCALABLE, AND PRIVACY-COMPLIANT DATASETS TO DRIVE MARKET
FIGURE 19 MULTIMODAL SEGMENT TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
FIGURE 20 PRE-LABELED DATASETS AND SOFTWARE & TECHNOLOGY PROVIDERS TO ACCOUNT FOR LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
FIGURE 21 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 22 AI TRAINING DATASET MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 23 EVOLUTION OF AI TRAINING DATASET
FIGURE 24 MARKET: SUPPLY CHAIN ANALYSIS
FIGURE 25 MARKET: ECOSYSTEM
FIGURE 26 MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
FIGURE 27 VALUATION OF PROMINENT AI TRAINING DATASET PROVIDERS
FIGURE 28 MARKET POTENTIAL OF GENERATIVE AI IN VARIOUS AI TRAINING DATASET USE CASES
FIGURE 29 NUMBER OF PATENTS GRANTED IN LAST 10 YEARS, 2015–2024
FIGURE 30 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015–2024
FIGURE 31 AI TRAINING DATASET MARKET: PORTER’S FIVE FORCES ANALYSIS
FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE END USERS
FIGURE 34 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
FIGURE 35 SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
FIGURE 36 DATA LABELLING & ANNOTATION SOFTWARE TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
FIGURE 37 DATA COLLECTION SERVICES SEGMENT TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
FIGURE 38 SYNTHETIC DATASETS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 39 MULTIMODAL SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
FIGURE 40 LLM FINE TUNING SEGMENT TO LEAD MARKET FROM 2024 TO 2029
FIGURE 41 RECOMMENDATION SYSTEMS TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 42 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST RATE DURING FORECAST PERIOD
FIGURE 43 NORTH AMERICA TO BE LARGEST MARKET DURING FORECAST PERIOD
FIGURE 44 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
FIGURE 45 NORTH AMERICA: AI TRAINING DATASET MARKET SNAPSHOT
FIGURE 46 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 47 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI TRAINING DATASET VENDORS, 2021–2024
FIGURE 48 MARKET: REVENUE ANALYSIS OF TOP FIVE PLAYERS, 2019–2023
FIGURE 49 SHARE ANALYSIS OF LEADING COMPANIES IN MARKET, 2023
FIGURE 50 PRODUCT COMPARATIVE ANALYSIS
FIGURE 51 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
FIGURE 52 YEAR-TO-DATE (YTD)
PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
FIGURE 53 MARKET: COMPANY EVALUATION MATRIX, KEY PLAYERS (SOFTWARE PROVIDERS), 2023
FIGURE 54 MARKET: COMPANY FOOTPRINT
FIGURE 55 MARKET: COMPANY EVALUATION MATRIX, KEY PLAYERS (SERVICE PROVIDERS), 2023
FIGURE 56 MARKET: COMPANY FOOTPRINT
FIGURE 57 MARKET: COMPANY EVALUATION MATRIX, STARTUPS/SMES (SOFTWARE PROVIDERS), 2023
FIGURE 58 AI TRAINING DATASET MARKET: COMPANY EVALUATION MATRIX, START-UPS/SMES (SERVICE PROVIDERS), 2023
FIGURE 59 GOOGLE: COMPANY SNAPSHOT
FIGURE 60 MICROSOFT: COMPANY SNAPSHOT
FIGURE 61 AWS: COMPANY SNAPSHOT
FIGURE 62 APPEN: COMPANY SNAPSHOT
FIGURE 63 NVIDIA: COMPANY SNAPSHOT
FIGURE 64 IBM: COMPANY SNAPSHOT
FIGURE 65 TELUS INTERNATIONAL: COMPANY SNAPSHOT
FIGURE 66 INNODATA: COMPANY SNAPSHOT

Methodology

The research methodology for the global AI training dataset market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts on AI training data collection, data annotation & labelling, and synthetic data generation, high-level executives of multiple companies offering AI training datasets, and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications such as Journal of Big Data, Journal of Artificial Intelligence Research, Data & Knowledge Engineering (DKE) Journal, Big Data and Cognitive Computing Journal, International Journal of Data Science and Analytics, and International Journal of Advances in Intelligent Informatics; and articles from recognized associations and government publishing sources including but not limited to AI Global, Global Initiative on Ethics of Autonomous and Intelligent Systems, Global Partnership on Artificial Intelligence, The Responsible AI Institute, European AI Alliance, AI for Good (United Nations), and World Economic Forum’s Whitepaper on Future of Mobility and Big Data.

The secondary research was used to obtain key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.

Primary Research

In the primary research process, a diverse range of stakeholders from both the supply and demand sides of the AI training dataset ecosystem were interviewed to gather qualitative and quantitative insights specific to this market. From the supply side, key industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology & innovation directors, as well as technical leads from vendors offering AI training dataset were consulted. Additionally, system integrators, service providers, and IT service firms that implement and support AI training datasets were included in the study. On the demand side, input from IT decision-makers, infrastructure managers, and AI/data analytics heads was collected to understand the user perspectives and adoption challenges within targeted industries.

The primary research ensured that all crucial parameters affecting the AI training dataset market—from technological advancements and evolving use cases (LLM fine-tuning, RAG, red teaming, computer vision, NLP) to regulatory and compliance needs (GDPR, EU AI Act, California Consumer Privacy Act etc.)—were considered. Each factor was thoroughly analyzed, verified through primary research, and evaluated to obtain precise quantitative and qualitative data for this market.

Once the initial phase of market engineering was completed, including detailed calculations for market statistics, segment-specific growth forecasts, and data triangulation, an additional round of primary research was undertaken. This step was crucial for refining and validating critical data points, such as AI training dataset offerings (data collection software & services, data annotation software & service, synthetic data generation software, Off-the-shelf (OTS) datasets, dataset marketplaces), industry adoption trends, the competitive landscape, and key market dynamics like demand drivers (Increasing demand for diverse and continuously updated multimodal datasets for generative AI models, rising adoption of synthetic data for rare event simulation etc.), challenges (Legal risks of web-scraped data due to copyright infringement, limited access to high-quality medical datasets due to HIPAA compliance, etc.), and opportunities (Growing demand for specialized data annotation services in diverse fields, synthetic data generation and privacy-preserving techniques for augmented training data etc.)

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

AI Training Dataset Market Size, and Share

Note: Three tiers of companies are defined based on their total revenue as of 2023; tier 1 = revenue more
than USD 500 million, tier 2 = revenue between USD 100 million and 500 million, tier 3 = revenue less than
USD 100 million
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

To estimate and forecast the AI training dataset market and its dependent submarkets, both top-down and bottom-up approaches were employed. This multi-layered analysis was further reinforced through data triangulation, incorporating both primary and secondary research inputs. The market figures were also validated against the existing MarketsandMarkets repository for accuracy. The following research methodology has been used to estimate the market size:

AI Training Dataset Market : Top-Down and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI training dataset market encompasses both software & services deployed for data creation and data selling. Data creation includes processes like data collection, data labeling, and data augmentation, all of which are critical in generating high-quality datasets for training AI models. Data collection refers to the gathering of raw data, which is then labeled to ensure it is structured and meaningful for AI algorithms. Data augmentation involves enhancing datasets by introducing variations and improving the diversity and robustness of AI training. On the other hand, the services related to AI training datasets comprises of data collection services, data annotation & labelling services, dataset marketplaces, and data validation services. Together, data creation and data selling provide the foundation for AI models that require extensive and diverse data to function effectively across various industriesss and applications.

Stakeholders

Off-the-shelf (OTS) dataset vendors
Data annotation & labelling software vendors
Dataset marketplace providers
Synthetic data providers
Data collection platform providers
Data collection and labelling service providers
Business analysts
Cloud service providers
Enterprise end-users
Distributors and Value-added Resellers (VARs)
Government agencies
Independent Software Vendors (ISV)
Market research and consulting firms
Software & technology providers

Report Objectives

To define, describe, and predict the AI training dataset market by offering, type, data modality, annotation type, end user, and region
To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the AI training dataset market
To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East Africa, and Latin America
To profile key players and comprehensively analyze their market rankings and core competencies.
To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the AI training dataset market
To analyze the impact of recession across all the regions across the AI training dataset market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs.
The following customization options are available for the report:

Product Analysis

Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis

Further breakup of the North American market for AI training dataset
Further breakup of the European market for AI training dataset
Further breakup of the Asia Pacific market for AI training dataset
Further breakup of the Latin American market for AI training dataset
Further breakup of the Middle East & Africa market for AI training dataset

Key Questions Addressed by the Report

What is an AI training dataset?

AI training data is a set of information, or inputs, used to teach AI models to make accurate predictions or decisions. This data serves as the foundation for teaching AI systems to recognize patterns, make decisions and improve over time. The AI training dataset market encompasses both software and services. Software solutions include data collection tools, annotation platforms, synthetic data generators, data augmentation software, and off-the-shelf (OTS) datasets, which streamline the process of acquiring and preparing AI-ready data. On the services side, the market includes data collection services, human-in-the-loop (HITL) data annotation & labelling services, data validation services, and dataset marketplaces, ensuring that AI models are trained on accurate, unbiased, and domain-specific data.

What is the total CAGR expected to be recorded for the AI training dataset market during 2024-2029?

The AI training dataset market is expected to record a CAGR of 27.7% from 2024 to 2029.

Which are the key drivers supporting the growth of the AI training dataset market?

The key factors driving the growth of the AI training dataset market include Increasing need for diverse and continuously updated multimodal datasets for generative AI models, rising use of multilingual datasets for conversational AI, growing demand for high-quality labeled data for autonomous vehicles, and the rising adoption of synthetic data for rare event simulation.

Which are the top-3 end users prevailing in the AI training dataset market?

The leading end users in AI training dataset market include software & technology providers, healthcare and life sciences, BFSI.

Who are the key vendors in the AI training dataset market?

Some major players in the AI training dataset market include Google (US), IBM (US), AWS (US), Microsoft (US), NVIDIA (US), Snorkel (US), Gretel (US), Shaip (US), Clickworker (US), Appen (Australia), Nexdata (US), Bitext (US), Aimleap (US), Deep Vision Data (US), Cogito Tech (US), Sama (US), Scale AI (US), Alegion (US), TELUS International (Canada), iMerit (US), Labelbox (US), V7Labs (UK), Defined.ai (US), SuperAnnotate (US), LXT (Canada), Toloka AI (Netherlands), Innodata (US), Kili technology (France), HumanSignal (US), Superb AI (US), Hugging Face (US), CloudFactory (UK), FileMarket (Hong Kong), TagX (UAE), Roboflow (US), Supervise.ly (Estonia), Encord (UK), TransPerfect (US), Keylabs (Israel), and vAIsual (US), Datumo (South Korea), Twine AI (UK), Mostly AI (Austria), FutureBeeAI (India), and Pixta AI (Vietnam).

AI Training Dataset Market by Software (Data Collection Tools, Data Annotation Software, Off-the-Shelf Datasets), Services (Data Validation Services, Dataset Marketplaces), Data Modality (Text, Image, Video, Audio, Multimodal) - Global Forecast to 2029

OVERVIEW

KEY TAKEAWAYS

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

MARKET DYNAMICS

Driver: Rising AI applications requiring cross-modal understanding driving demand for multimodal AI training datasets

Restraint: Rapidly changing regulatory environment causing friction in AI training dataset creation and deployment

Opportunity: Custom-built AI training datasets for novel AI use cases

Challenge: Skewed training datasets leading to AI model drift or unethical bias

AI Training Dataset Market: COMMERCIAL USE CASES ACROSS INDUSTRIES

MARKET ECOSYSTEM

MARKET SEGMENTS

AI Training Dataset Market, By Offering

AI Training Dataset Market, By Annotation Type

AI Training Dataset Market, By Data Modality

AI Training dataset market, By type

AI Training Dataset Market, By Enterprise

REGION

Asia Pacific to be the fastest-growing region in the global AI training dataset market during the forecast period.

AI Training Dataset Market: COMPANY EVALUATION MATRIX

KEY MARKET PLAYERS

MARKET SCOPE

WHAT IS IN IT FOR YOU: AI Training Dataset Market REPORT CONTENT GUIDE

DELIVERED CUSTOMIZATIONS

RECENT DEVELOPMENTS

Table of Contents

Methodology

Secondary Research

Primary Research

Market Size Estimation

AI Training Dataset Market : Top-Down and Bottom-Up Approach

Data Triangulation

Market Definition

Stakeholders

Report Objectives

Available Customizations

Product Analysis

Geographic Analysis

Company Information

Key Questions Addressed by the Report

TABLE OF CONTENTS

METHODOLOGY

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