In the news release, Newmark Report: Resilient Singapore Office Demand Backed by Steady Economic Growth, issued 06-Mar-2025 by Newmark Group, Inc. over PR Newswire, we are advised by the company that the first sentence of the release should read "Newmark has released a study on the Singapore office leasing market." rather than "Newmark has released a study, led by its Valuation & Advisory and Leasing & Brokerage teams, on the Singapore office leasing market." as originally issued inadvertently. The complete, corrected release follows:
Newmark Report: Resilient Singapore Office Demand Backed by Steady Economic Growth
Newmark Report: Resilient Singapore Office Demand Backed by Steady Economic Growth
SINGAPORE, March 7, 2025 /PRNewswire/ -- Newmark has released a study on the Singapore office leasing market. The report considers broader economic factors and ongoing trends among occupiers, projecting a positive year ahead for office leasing activity and continued moderate rental growth amid limited supply and stable economic growth on the island in 2025.
"Increasing office-using employment and declining office supply should help to better balance the market's supply and demand over the next 12 months, supported by steady economic growth and export growth," said Chris Carver, MRICS, MSISV, AAPI, Executive Managing Director and Head of Asia-Pacific Valuation & Advisory. "With a limited development pipeline and sustained need for high-quality office space, we anticipate that rental growth will remain positive in 2025 and occupiers will continue to focus on workplace efficiency and employee experience, driving interest for prime spaces."
Among the key 2024 takeaways:
- Office vacancy rose slightly to 9.4% in 2024, largely attributable to the addition of the 1.25-million-square-foot IOI Central Boulevard Towers to the office supplyi.
- Singapore's CBD Grade A office rents grew approximately 2% in 2024 and are projected to increase at a moderate pace of around 2% in 2025. This growth is attributed to the limited supply of new office space in the CBD and sustained demand for premium office spacesii.
- Flight to Quality remains a key driver of office relocations, as businesses prioritize talent acquisition and retention.
- Service sectors, such as information and communications, financial and professional services, all grew in 2024 and are projected for further growth in 2025, which should in turn drive additional office demandiii.
Read the full report here and visit https://www.nmrk.com/insights to explore more Newmark Thought Leadership.
About Newmark
Newmark Group, Inc. (Nasdaq: NMRK), together with its subsidiaries ("Newmark"), is a world leader in commercial real estate, seamlessly powering every phase of the property life cycle. Newmark's comprehensive suite of services and products is uniquely tailored to each client, from owners to occupiers, investors to founders, and startups to blue-chip companies. Combining the platform's global reach with market intelligence in both established and emerging property markets, Newmark provides superior service to clients across the industry spectrum. For the twelve months ended December 31, 2024, Newmark generated revenues of over $2.7 billion. As of December 31, 2024, Newmark and our business partners together operated from approximately 170 offices with more than 8,000 professionals across four continents. To learn more, visit nmrk.com or follow @newmark.
Discussion of Forward-Looking Statements about Newmark
Statements in this document regarding Newmark that are not historical facts are "forward-looking statements" that involve risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements. These include statements about the Company's business, results, financial position, liquidity, and outlook, which may constitute forward-looking statements and are subject to the risk that the actual impact may differ, possibly materially, from what is currently expected. Except as required by law, Newmark undertakes no obligation to update any forward-looking statements. For a discussion of additional risks and uncertainties, which could cause actual results to differ from those contained in the forward-looking statements, see Newmark's Securities and Exchange Commission filings, including, but not limited to, the risk factors and Special Note on Forward-Looking Information set forth in these filings and any updates to such risk factors and Special Note on Forward-Looking Information contained in subsequent reports on Form 10-K, Form 10-Q or Form 8-K.
i Source: URA (Private Sector only) & Newmark Research
ii Source: URA & Newmark Research
iii Source: Ministry of Manpower (MOM)
** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **
Newmark Report: Resilient Singapore Office Demand Backed by Steady Economic Growth
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Supports a wide range of spectral data, including XPS, FT-IR, and NMR. From automatic determination of peak count and peak shape to background and noise estimation, AutoStatSpectra enables analysis with less dependence on individual analyst experience.
TAIPEI and SINGAPORE, April 27, 2026 /PRNewswire/ -- a.s.ist Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.
a.s.ist today announced the launch of a 7-day free trial for AutoStatSpectra, its Bayesian-statistics-based spectral analysis software. During the trial period, all features will be available without restriction.
| *The "World's First" claim in the title is based on research conducted by a.s.ist and reflects information available as of April 2026. |
Background
In spectral analysis techniques such as XPS (X-ray Photoelectron Spectroscopy), FT-IR (Fourier Transform Infrared Spectroscopy), and NMR (Nuclear Magnetic Resonance), analytical results are heavily influenced by how overlapping peaks are separated and how the number of peaks, the parameters for each peak, and the peak function types are defined.
However, with conventional curve-fitting software, these settings often depend on the analyst's experience and trial and error, creating challenges in objectivity and reproducibility.
AutoStatSpectra uses Bayesian inference to automatically estimate the number of peaks, peak parameters, and peak function types, while also quantifying uncertainty in the estimates. It delivers statistically grounded spectral analysis that does not rely on the analyst's subjective judgment.
Key Features of AutoStatSpectra
1. Automatic estimation of peak count, peak parameters, and peak function types
AutoStatSpectra compares candidate models within a user-specified range and automatically selects the optimal number of peaks based on posterior probability. In addition to estimating parameters such as the height, center position, and full width at half maximum (FWHM) of each peak, it also automatically determines the most suitable peak function type for the data, including Gaussian, Lorentzian, and pseudo-Voigt functions. Because uncertainty in each estimate can also be evaluated quantitatively, the software enables highly reproducible peak fitting with less reliance on analyst experience and trial and error.
2. Flexible background correction
In addition to constant and linear background models, AutoStatSpectra supports multiple background-correction methods, including the Shirley method for XPS. Users can flexibly choose preprocessing methods according to different measurement techniques.
3. Batch analysis of multiple files (multi-file workspace)
Multiple spectral datasets can be grouped into a single workspace and processed in batch under common analysis conditions. This supports efficient analysis of large volumes of data, such as condition screening and time-series comparisons.
4. Automatic generation of analysis reports
Analysis results can be automatically output as reports in PDF and Word formats. Comprehensive reports that include fitting plots, model comparison tables, parameter lists, and posterior distribution plots significantly shorten the workflow from analysis to reporting. Data export to CSV and Excel is also supported.
5. Support for diverse data formats
AutoStatSpectra supports a wide range of data formats, including CSV, Excel, VAMAS, and SOF-H.
Demo Video
For a visual overview of how AutoStatSpectra works in practice, please watch our demo video on YouTube:
https://youtu.be/3c2pc3OJgz4
About the Free Trial
Duration: 7 days (all features available)
Availability: Web app and desktop app
Supported environments: The desktop app supports Windows (x64) and macOS (Apple Silicon)
How to apply: Please contact us via the inquiry form on our official website: https://www.a-s-ist.com/contact/. After reviewing your target data and intended use, we will issue a trial license following a consultation. Please note that the number of trial slots is limited, and applications may close once capacity is reached.
Continuing use: After the trial period, users may continue with either a monthly plan or an annual plan.
About a.s.ist Inc.
a.s.ist is a startup that leverages advanced data analysis technologies such as white-box AI, Bayesian inference, and sparse modeling, built on research expertise cultivated at The University of Tokyo.
With strengths in data analysis for materials development, physical-property experiments, and related applications, the company supports problem-solving in research and manufacturing settings through the development and sale of automated analysis software and the provision of custom digital transformation (DX) solutions. a.s.ist is also exploring the application of emerging AI technologies such as physical AI.
Company Name: a.s.ist Inc.
CEO: Yui HAYASHI
Address: 5-17-24 Iko, Adachi-ku, Tokyo 121-0823, Japan
Founded: June 2021
URL: https://www.a-s-ist.com
Supports a wide range of spectral data, including XPS, FT-IR, and NMR. From automatic determination of peak count and peak shape to background and noise estimation, AutoStatSpectra enables analysis with less dependence on individual analyst experience.
TAIPEI and SINGAPORE, April 27, 2026 /PRNewswire/ -- a.s.ist Inc. ("a.s.ist") leverages research expertise cultivated at The University of Tokyo to drive digital transformation (DX) in manufacturing through white-box AI.
a.s.ist today announced the launch of a 7-day free trial for AutoStatSpectra, its Bayesian-statistics-based spectral analysis software. During the trial period, all features will be available without restriction.
*The "World's First" claim in the title is based on research conducted by a.s.ist and reflects information available as of April 2026.
Background
In spectral analysis techniques such as XPS (X-ray Photoelectron Spectroscopy), FT-IR (Fourier Transform Infrared Spectroscopy), and NMR (Nuclear Magnetic Resonance), analytical results are heavily influenced by how overlapping peaks are separated and how the number of peaks, the parameters for each peak, and the peak function types are defined.
However, with conventional curve-fitting software, these settings often depend on the analyst's experience and trial and error, creating challenges in objectivity and reproducibility.
AutoStatSpectra uses Bayesian inference to automatically estimate the number of peaks, peak parameters, and peak function types, while also quantifying uncertainty in the estimates. It delivers statistically grounded spectral analysis that does not rely on the analyst's subjective judgment.
Key Features of AutoStatSpectra
1. Automatic estimation of peak count, peak parameters, and peak function types
AutoStatSpectra compares candidate models within a user-specified range and automatically selects the optimal number of peaks based on posterior probability. In addition to estimating parameters such as the height, center position, and full width at half maximum (FWHM) of each peak, it also automatically determines the most suitable peak function type for the data, including Gaussian, Lorentzian, and pseudo-Voigt functions. Because uncertainty in each estimate can also be evaluated quantitatively, the software enables highly reproducible peak fitting with less reliance on analyst experience and trial and error.
2. Flexible background correction
In addition to constant and linear background models, AutoStatSpectra supports multiple background-correction methods, including the Shirley method for XPS. Users can flexibly choose preprocessing methods according to different measurement techniques.
3. Batch analysis of multiple files (multi-file workspace)
Multiple spectral datasets can be grouped into a single workspace and processed in batch under common analysis conditions. This supports efficient analysis of large volumes of data, such as condition screening and time-series comparisons.
4. Automatic generation of analysis reports
Analysis results can be automatically output as reports in PDF and Word formats. Comprehensive reports that include fitting plots, model comparison tables, parameter lists, and posterior distribution plots significantly shorten the workflow from analysis to reporting. Data export to CSV and Excel is also supported.
5. Support for diverse data formats
AutoStatSpectra supports a wide range of data formats, including CSV, Excel, VAMAS, and SOF-H.
Demo Video
For a visual overview of how AutoStatSpectra works in practice, please watch our demo video on YouTube:
https://youtu.be/3c2pc3OJgz4
About the Free Trial
Duration: 7 days (all features available)
Availability: Web app and desktop app
Supported environments: The desktop app supports Windows (x64) and macOS (Apple Silicon)
How to apply: Please contact us via the inquiry form on our official website: https://www.a-s-ist.com/contact/. After reviewing your target data and intended use, we will issue a trial license following a consultation. Please note that the number of trial slots is limited, and applications may close once capacity is reached.
Continuing use: After the trial period, users may continue with either a monthly plan or an annual plan.
About a.s.ist Inc.
a.s.ist is a startup that leverages advanced data analysis technologies such as white-box AI, Bayesian inference, and sparse modeling, built on research expertise cultivated at The University of Tokyo.
With strengths in data analysis for materials development, physical-property experiments, and related applications, the company supports problem-solving in research and manufacturing settings through the development and sale of automated analysis software and the provision of custom digital transformation (DX) solutions. a.s.ist is also exploring the application of emerging AI technologies such as physical AI.
Company Name: a.s.ist Inc.
CEO: Yui HAYASHI
Address: 5-17-24 Iko, Adachi-ku, Tokyo 121-0823, Japan
Founded: June 2021
URL: https://www.a-s-ist.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
World's First: AutoStatSpectra, Software That Automates Spectral Analysis with Bayesian Statistics, Launches a 7-Day Free Trial -- a.s.ist Inc.
World's First: AutoStatSpectra, Software That Automates Spectral Analysis with Bayesian Statistics, Launches a 7-Day Free Trial -- a.s.ist Inc.
