Intelligent Document Processing Market Snapshot: Innovations Driving Business Transformation

According to a new report published by Allied Market Research, titled, "Synthetic Data Generation Market," The synthetic data generation market was valued at $168.93 million in 2021, and is estimated to reach $3.5 billion by 2031, growing at a CAGR of 35.8% from 2022 to 2031.

The use of synthetic data has accelerated in the past few years with the rise of deep learning. Successful deep learning applications require a large number of labeled observations. Synthetic data generation play a critical role for this. Furthermore, increasing digital initiative, and the availability of advanced & robust IT infrastructure opens up numerous possibilities for synthetic data generation solution, which is expected to provide lucrative opportunities for synthetic data generation market forecast.

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On the basis of component, the solution segment dominated the synthetic data generation market size in 2021 and is expected to continue this trend during the forecast period. The adoption of synthetic data generation provides numerous benefits to the industry such as, streamline the business process, eliminate the manual process and reduces the time and costs, further fuel the growth of the market. However, services segment highest growth market share in the upcoming year. The adoption of synthetic data generation enhances software implementation, maximize the value of existing installation by optimizing it, and minimize the deployment cost & risks, and others, further fuel the growth of the synthetic data generation industry for this segment.

Based on deployment mode, the on-premise segment held the largest share of nearly three-fifths of the global synthetic data generation market in 2021, and is expected to maintain a prominent growth during the forecast period. This is attributed to numerous advantages offered by on-premise deployment, such as a high level of data security and safety. However, the cloud segment is expected to exhibit the highest CAGR of 38.2% in 2031, owing to the high adoption of cloud-based synthetic data generation due to its low cost and easier maintenance.

Based on data type, the tabular data segment held the largest share of nearly two-fifths of the global synthetic data generation market in 2021, and is expected to maintain a prominent growth during the forecast period, as tabular data presentation helps in simplifying complex data, comparing different data sets, bringing out the important aspects, and provides the foundation for statistical analysis. However, the text data segment is expected to exhibit the highest CAGR of 39.8% in 2031, as text data has greater use in research and art projects.

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Region-wise, North America dominated the market share in 2021 for the synthetic data generation market. Adoption of synthetic data generation growing steadily to meet increasing demands from today's businesses to enhance their business process and improve the customer experience will provide lucrative opportunities for the market in this region. However, Asia-Pacific is expected to exhibit highest growth during the forecast period. This is attributed to increase in penetration of advanced technology such as AI, big data and IoT and higher adoption of cloud-based solution and services are particularly fueling regional market growth.

Covid-19 Scenario:

• The outbreak of COVID-19 is expected to provide various growth opportunities for the market during the forecast period. These opportunities include a surge in demand for AI-driven synthetic data generation in enterprises due to remote work initiatives, as businesses see the benefits of these platforms.

• It is also expected that market players will focus more on solutions that will support advanced planning and overcoming the impact of such events in the future. Focus will also be on end-to-end stock visibility, complex supplier monitoring, and process automation, thereby raising the demand for synthetic data generation technology in future.

• The pandemic had positively impacted the mobile and internet uses and the growing use of computing services, which is likely to offer various opportunities for the synthetic data generation market growth in the upcoming year.

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The key players that operate in the synthetic data generation market analysis Amazon.com, Inc., CVEDIA Inc., Datagen, Gretel Labs, IBM Corporation, Meta, Microsoft Corporation, Mostly AI, NVIDIA Corporation and Synthesis AI. These players have adopted various strategies to increase their market penetration and strengthen their position in the synthetic data generation industry.

Market Growth Drivers:

1. Privacy Concerns: With the increasing focus on data privacy regulations such as GDPR and CCPA, organizations are looking for ways to protect sensitive information. Synthetic data provides a way to anonymize and protect real data while still maintaining its utility.

2. Data Scarcity and Quality: In many industries, obtaining high-quality, labeled data can be a challenge. Synthetic data offers a solution by providing a scalable and customizable alternative to real data.

3. AI and Machine Learning Development: The rapid advancement of AI and machine learning technologies requires vast amounts of data for training. Synthetic data can supplement real data, especially in cases where real data is limited or expensive to obtain.

4. Data Augmentation: Synthetic data can be used to augment existing datasets, improving model performance and generalization.

5. Industry Applications: The market for synthetic data generation spans across various industries such as healthcare, finance, retail, automotive, and more. Each of these sectors has unique needs for data, and synthetic data can be tailored to meet specific requirements.

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