Error code:   ConfigNamesError
Exception:    AttributeError
Message:      'str' object has no attribute 'items'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                                   ^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  ).get_module()
                    ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 690, in get_module
                  config_name: DatasetInfo.from_dict(dataset_info_dict)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 284, in from_dict
                  return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
                                                 ^^^^^^^^^^^^^^^^^^^^^^^
              AttributeError: 'str' object has no attribute 'items'

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Malaysia Business Email Database — Market Intelligence Dataset

200,000 verified Malaysia contacts are available from LeadsBlue →. This open dataset provides the aggregate market intelligence behind that database — contact volume, benchmark open/reply rates, send timing, and compliance for the Malaysia segment.

At a glance: This dataset provides aggregated market-intelligence on the Malaysia Business Email Database segment — real business-population statistics, cold-email performance benchmarks, and compliance context compiled by LeadsBlue Research.

Key figures

Metric	Value
Verified contacts in segment	200,000
Typical email open rate	18-27%
Typical email reply rate	3-6%
Best send days	Tuesday, Wednesday, Thursday
Best send time (local)	09:00-11:00 MYT
Geography	Malaysia
Industry verticals benchmarked	14
License	CC BY 4.0

📥 Get the full Malaysia Business Email Database — individual verified business records, ready to use: Download from LeadsBlue →

Market overview

Malaysia is Southeast Asia's 3rd largest economy and a highly strategic B2B market at the intersection of ASEAN's manufacturing, technology, and palm oil supply chains. Kuala Lumpur (KL) is the commercial capital with a growing fintech, digital banking, and e-commerce ecosystem. Penang is Asia's electronics manufacturing hub — the 'Silicon Island of the East' — home to Intel, AMD, Motorola Solutions, Bosch, and hundreds of semiconductor companies and their supply chains. Johor Bahru (directly connected to Singapore via bridge) is a fast-growing manufacturing and logistics hub benefiting from Singapore's high costs.

Primary business hubs: Kuala Lumpur (KLCC, Bukit Bintang), Penang (Bayan Lepas Free Trade Zone), Johor Bahru, Petaling Jaya, Cyberjaya (tech).

Outreach benchmarks & strategy

Malaysian B2B cold email in English is highly effective — English is the business language of corporate Malaysia and proficiency is excellent among professional decision-makers. The manufacturing sector (Penang, Selangor) is globally integrated and accustomed to international vendor relationships. The technology and fintech sector in KL is growing rapidly and responsive to direct international outreach. Relationship-building through Malaysian business associations (MITI, MDEC, Malaysian-International Chamber of Commerce) provides additional credibility.

Files in this dataset

File	Contents
`data/market_overview.csv`	Segment-level metrics: contact volume, benchmark rates, send timing
`data/industry_benchmarks.csv`	Open/reply benchmarks across 14 industry verticals
`data/compliance.csv`	Regulatory framework, business culture, decision-maker profile, hubs

Methodology

Figures are aggregated and anonymized from LeadsBlue's verified contact operations and public business-registry baselines. No personal records are included in this dataset — only segment-level statistics.

How to cite

LeadsBlue Research. (2026). Malaysia Business Email Database — Market Intelligence Dataset. Derived from the B2B Cold Email Benchmark Report 2026 (https://doi.org/10.5281/zenodo.20136256). CC BY 4.0. Source: https://leadsblue.com

@dataset{leadsblue_malaysia_business_email_dataset_2026,
  author    = {Johnson, Luther},
  title     = {Malaysia Business Email Database -- Market Intelligence Dataset},
  year      = {2026},
  publisher = {LeadsBlue Research},
  doi       = {10.5281/zenodo.20136256},
  url       = {https://leadsblue.com/leads/malaysia-business-email-leads-database/}
}

Source & full dataset

This aggregate dataset is published by LeadsBlue Research. The full verified business email list — with individual business contact records — is available at Malaysia Business Email Database.

Related resources: Benchmark report (Zenodo) · Research hub · Interactive tools

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