Singapore Intelligence Data Processing Market Report 2023: Market is Expected to Grow by a Staggering 40.9% to Reach $347,733.5 Thousands in 2023 – Forecasts to 2032

PRESS RELEASE

Published July 10, 2023

The Singapore Intelligence Data Processing (IDP) market size is expected to reach USD 347,733.5 Thousands in 2032, at a steady revenue CAGR of 40.9% during the forecast period, according to the latest analysis by Emergen Research. Increasing adoption of cloud computing technology is one of the major factors driving the steady market revenue growth for Intelligence Data Processing (IDP). Singapore still reigns supreme as a technological and digitalization leader on a global scale. Singapore is enjoying tremendous tech growth as cloud usage picks up speed and investments in new technologies skyrocket, reinforcing its commitment to digitalization and solidifying its position as a ‘Smart Nation.’ As Information Technology (IT) has advanced through time, there has been a significant dependence on cloud computing. Use of the cloud has significantly increased recently. Many businesses utilize this technology as the foundation of their IT infrastructure and rely on it to conduct business as normal.

Data privacy and security concerns due to the sensitive nature of some data is a factor, which could restrain revenue growth of the market. The possibility of data breaches and unauthorized access to personal information are the key privacy worries associated with Artificial Intelligence (AI). Given the volume of data being gathered and processed, there is a chance that it might be misused through hacking or other security flaws.

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Several significant drivers have led to the expansion of Singapore’s intelligence data processing market. For starters, the government’s insistence on creating a smart nation has accelerated the adoption of advanced data processing technologies. The Smart Nation effort intends to use data and technology to improve citizens’ quality of life, improve public services, and drive economic progress. As a result, both the public and private sectors are heavily investing in intelligence data processing systems in order to realise the full potential of data-driven insights.

Furthermore, the growing volume and diversity of data generated by many sources, including as social media, IoT devices, and digital transactions, has created an urgent demand for efficient data processing solutions. Businesses are realising the value of leveraging this massive amount of data to gain a competitive advantage, improve operational efficiency, and optimise consumer experiences. Intelligence data processing solutions enable businesses to process and analyse structured and unstructured data in real time, revealing valuable insights that can drive corporate growth.

Despite tremendous prospects, Singapore’s intelligence data processing business faces a number of hurdles and constraints. Data privacy and security are two major concerns. As organisations collect and analyse sensitive information, data protection becomes increasingly important. To protect personal information, the government has enacted severe regulations such as the Personal Data Protection Act (PDPA). Compliance with these requirements and upholding data privacy standards can be difficult for organisations, especially given the ever-changing threat landscape.

Some major companies in the market report include:

Microsoft Corporation,
Amazon Web Services, Inc. (amazon.com),
IBM,
Auromation Anywhere, Inc.,
ANTWORKS,
ABBYY Development Inc.,
Xerox Corporation,
Ephesoft Inc. (Kofax Inc.),
HCL Technologies Limited,
DataPost Pte Ltd,
UiPath, Inc.,
Kodak Alaris Inc.,
Appian Corporation,
6Estates Pte Ltd,
Docsumo,
QUANTIPHI,
Laiye Network Technology Co., Ltd,
AiDA Technologies.

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IBM Singapore: IBM, a worldwide technology giant, has a significant presence in the intelligence data processing sector in Singapore. Advanced analytics, artificial intelligence, and cognitive computing solutions are among the services they provide. Organisations rely on IBM Watson, their flagship cognitive computing platform, for data processing and analysis, natural language processing, and machine learning capabilities.

Microsoft Singapore: Microsoft is the world’s leading provider of software and cloud computing services. Azure Analytics, Power BI, and Azure Machine Learning are just a few of the data processing and analytics capabilities they offer. Microsoft’s powerful and scalable platforms help businesses to efficiently exploit their data and acquire vital insights for decision-making.

Some Significant Report Highlights:

On July 2022, DataVio, DataPost’s cloud-based solution for assisting organisations automate the processing and extraction of useful data from documents, was released. DataPost is Singapore’s widely recognised leader in data protection and automation. DataVio, DataPost’s cloud-based solution for assisting organisations automate the processing and extraction of useful data from documents, has been released. DataPost is Singapore’s widely recognized leader in data protection and automation.
The solutions segment is expected to account for largest revenue share during the forecast period. IDP solutions are becoming more popular as a result of the need for accurate and effective document processing. IDP solutions are available in various formats, including standalone IDP software, system integration firm services, and legacy IDP solutions.
The Natural Language Processing (NLP) segment is expected to account for largest revenue share during the forecast period. Businesses want a way to efficiently analyze the enormous volumes of text-heavy, unstructured data being used. A significant percentage of the information created online and stored in databases is written in normal human language, but until recently, businesses were unable to analyze it effectively. In these cases, NLP is helpful.
The market in North region of Singapore is expected to account for largest revenue share during the forecast period. Industries in this region generate enormous volumes of data from multiple sources, necessitating advanced data handling and analysis solutions. In addition, the Singaporean government has been actively encouraging the adoption of IDP solutions in this area, providing incentives and support for businesses. This combination of high data generation and government support has created a favorable environment for IDP solutions, driving revenue growth of the market in North Singapore.

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Segmental Analysis:

Emergen Research has segmented the Singapore Intelligence Data Processing (IDP) market on the basis of component, organization size, deployment mode, technology, vertical, region:

Component Outlook (Revenue, USD Thousand; 2019–2032)
- Solutions
- Services

Organization Size Outlook (Revenue, USD Thousand; 2019–2032)
- Small & Medium Enterprises (SMEs)
- Large Enterprises

Deployment Mode Outlook (Revenue, USD Thousand; 2019–2032)
- Cloud
- On-Premises

Technology Outlook (Revenue, USD Thousand; 2019–2032)
- Natural Language Processing
- Optical Character Recognition
- Machine Learning
- Artificial Intelligence
- Robotic Process Automation
- Google Vision
- Deep Learning
- Vision API
- Other Technologies

Vertical Outlook (Revenue, USD Thousand; 2019–2032)
- BFSI
- Government
- Healthcare and Life Sciences
- Retail and E-commerce
- Manufacturing
- Transportation & Logistics
- Other Verticals

Regional Outlook:

North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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