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AI Training Dataset Market worth $9.58 billion by 2029 - Exclusive Report by MarketsandMarkets™


News provided by

MarketsandMarkets

24 Oct, 2024, 14:15 GMT

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DELRAY BEACH, Fla., Oct. 24, 2024 /PRNewswire/ -- The AI Training Dataset Market is slated to expand from USD 2.82 billion in 2024 to USD 9.58 billion by the year 2029 at a robust CAGR of 27.7% over the forecast period, according to a new report by MarketsandMarkets™.

Browse in-depth TOC on "AI Training Dataset Market"

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487 – Tables
66 – Figures
446 – Pages

Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=153819655

Scope of the Report

Report Metrics

Details

Market size available for years

2019–2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

USD (Billion)

Segments covered

Offering, Dataset Creation, Dataset Selling, Type, Data Modality, Annotation Type, End User, and Region

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

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), Lionbridge Technologies (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 (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 data.world (US).

The market for AI training datasets has gained substantial traction, with the major catalyst being the need for fair and unbiased datasets. Enterprises are gradually realizing the implications of bias within the dataset. Such bias was highlighted in the case of the Apple Card, where women were given lower credit limits than men due to biased training data embedded in the credit disbursal algorithms. Large language models have also been criticized for making negative stereotypes, such as when OpenAI's GPT-3 unintentionally linked objectionable words to certain ethnic groups. These cases stress the need for curating well-balanced training datasets that adequately capture real life scenarios; and are inclusive as well. Other factors helping the market growth include the rise of synthetic data to address privacy concerns and scarcity issues, allowing industries like healthcare and autonomous vehicles to simulate rare scenarios. Other pivotal market trends include the progressively increasing use of multimodal datasets, to power virtual assistants and smart gadgets that require the simultaneous processing of text, images and audio.

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By offering, dataset creation segment will account for largest market share in 2024 owing to high demand for accurately labelled datasets.

The market for data labeling & annotation software is expected to hold major market share in 2024, spurred along by the rising need for accurate and precisely labelled data. One of the main factors for growth is the rising demand for context-specific annotations that go beyond basic labeling. Companies like Tempus Labs are using intricately labeled genomic and clinical data to develop precision medicine AI tools, requiring highly detailed and specialized annotations from medical experts. Furthermore, with the introduction of AI-powered annotation automation tools such as SuperAnnotate, the AI annotation is combined with human annotators, creating a human-in-the-loop (HITL) system that enhances workflow efficiency. This has become a popular trend as organizations want to reduce the amount of manual work while maintaining good standards. For example, Aptiv is leveraging such HITL datasets for training advanced driver-assistance systems (ADAS). Another major factor is the progressive increase in the adoption of multimodal data, which require highly accurate and robustly annotated dataset across various modalities.

Rising consumption of high-quality datasets to develop domain-specific AI models will push software & technology providers as the fastest growing end user segment during the forecast period

The software and technology providers segment is experiencing the fastest growth in the AI Training Dataset Market, driven by increasing demand for scalable and high-quality dataset creation solutions. These providers, especially cloud hyperscalers like AWS and Google Cloud, are leveraging massive datasets to enhance AI offerings like voice recognition, computer vision, and natural language processing. Microsoft Azure, for instance, has launched several services like Azure Machine Learning that take advantage of large amounts of data to train advanced AI models. Foundation models providers, such as Cohere and Anthropic, are also investing a lot of resources into the procurement of datasets in order to train and custom design LLMs. Furthermore, IT services companies are developing end-to-end data pipelines for their customers, allowing them to scale AI applications with ethically sourced and unbiased training datasets. The segment's robust expansion is also aided by the growing use of industry specific datasets for niche applications like AI in cyber security and supply chain analytics.

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North America is set to hold the largest market share in 2024, fueled by a strong regulatory environment and increasing investments in responsible AI deployment

North America has emerged as the largest regional market for AI training dataset, owing to hefty R&D investments being poured into AI. As reported in the 2022 US budget, the federal AI spending of the US government was greater than USD 3.3 billion dollars, which created a demand for quality training datasets. The region's strong focus on advancing large-scale AI models like GPT-4 by OpenAI and DeepMind's AlphaFold also showcases the requirement for multimodal and high-quality training datasets to develop such models. Also, the existence of cloud hyperscalers like AWS, Microsoft Azure, and Google Cloud has sped up the provision of scalable AI solutions, including data annotation and management, as part of their cloud services. In Canada, companies like Element AI (acquired by ServiceNow) are creating sophisticated AI models for sectors like finance and logistics, driving the need for reliable datasets to ensure precision and effectiveness.

This trend is also assisted by the North American regulatory landscape, which favors responsible artificial intelligence practices, increasing the market demand for data sets that are both transparent and free from bias. A similar trend is reflected in California's Automated Decision Systems Accountability Act (AB-13) which seeks to ensure that AI systems are fair and accountable.

Top Key Companies in AI Training Dataset Market:

The major players in the AI Training Dataset Market include Scale AI (US), Appen (Australia), Lionbridge Technologies (US), AWS (US), and Sama (US), along with SMEs and startups such as Snorkel AI (US), V7 Labs (UK), Alegion (US), Toloka AI (US), and iMerit (US).

Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting

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Get access to the latest updates on AI Training Dataset Companies and AI Training Dataset Industry

About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America's best management consulting firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

Earlier this year, we made a formal transformation into one of America's best management consulting firms as per a survey conducted by Forbes.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines - TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the 'GIVE Growth' principle, we work with several Forbes Global 2000 B2B companies - helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA: +1-888-600-6441
Email: sales@marketsandmarkets.com
Visit Our Website: https://www.marketsandmarkets.com/

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