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Asia Industry Data FAQs

An overview of IBISWorld's data solution for Asia.

Updated yesterday

Note (blue callout): This article focuses on our structured industry data for Asia, which includes key statistics for 17 markets in Asia. For information about our industry report collection for China, download the brochure.

What is IBISWorld’s data solution for Asia?

IBISWorld provides structured data across Asia, covering 17 key markets from China to Singapore to Hong Kong. Built on the International Standard Industry Classification (ISIC) Rev. 4 system, our data solution for Asia delivers standardized, comparable industry metrics that are API-ready.

Which geographic markets are included in your data solution?

Our dataset covers the following markets in Asia. For a full summary of geographic coverage, download the spreadsheet (coming soon).

  • China

  • Japan

  • India

  • South Korea

  • Singapore

  • Indonesia

  • Taiwan

  • Thailand

  • Vietnam

  • Malaysia

  • Philippines

  • Hong Kong

  • Bangladesh

  • Pakistan

  • Sri Lanka

  • Cambodia

  • Mongolia

What industries and sectors does the dataset cover?

The dataset covers the sectors listed below. For a full summary of coverage across Asia, including the number of industries per sector, download the spreadsheet (coming soon).

ISIC Code

ISIC Sector Title

A

Agriculture, forestry and fishing

B

Mining and quarrying

C

Manufacturing

D

Electricity, gas, steam and air conditioning supply

E

Water supply; sewerage, waste management and remediation activities

F

Construction

G

Wholesale and retail trade; repair of motor vehicles and motorcycles

H

Transportation and storage

I

Accommodation and food service activities

J

Information and communication

K

Financial and insurance activities

L

Real estate activities

M

Professional, scientific and technical activities

N

Administrative and support service activities

O

Public administration and defense; compulsory social security

P

Education

Q

Human health and social work activities

R

Arts, entertainment and recreation

S

Other service activities

What makes your industry data for Asia more reliable or useful than raw government data?

Raw economic data provided by government institutions contains many gaps and inconsistencies across geographies. The issues arise when definitions vary, surveys are limited or discontinued, and methodologies change without notice.

IBISWorld’s data team takes special care to:

  • Collect up to 20 years of raw historical data

  • Identify and reconcile breaks, gaps and discrepancies

  • Standardize metrics into one relational schema

  • Forecast 5–6 additional years using consistent modeling

The result is clean, comparable, API-ready datasets you can trust for cross-country analysis and forward-looking risk evaluation.

What metrics are included for each industry?

Each industry includes the following standardized quantitative indicators:

  • Revenue

  • Employment

  • Wages

  • Enterprise counts (number of businesses)

  • Imports

  • Exports

  • Industrial Value Added (IVA)

These are formatted identically across all markets for fluid comparison.

What is structured data?

Structured data is highly organized information that adheres to IBISWorld’s predefined schema, making it machine-readable and easy for humans to understand. Structured data includes:

  • Predefined schema: It follows a well-defined model or schema that specifies the relationships between different data fields.

  • Organized format: Data is neatly organized in tables with rows representing records and columns representing attributes.

  • Easy to search and analyze: Its consistent format allows for simple querying and analysis using tools like Structured Query Language (SQL).

How is the data structured?

All datasets are aligned to the ISIC Rev. 4 international classification system.

This ensures:

  • Consistent labeling

  • Cross-country comparability

  • Unified definitions and measurement units

  • Traceability to credible sources

  • Standard calendar year time periods across the collection

Local classification systems are preserved for reference when relevant.

How far back does the data go?

Our data spans 2015–2031, including:

  • 10–20 years of reconciled historical data

  • 5–6 years of forecast data

The final presentation layer contains no missing values.

Where does IBISWorld source its data for Asia?

These are some of the key data sources for Asia:

  • United Nations Industry Development Organization (UNIDO)

  • UN Comtrade

  • National Bureau of statistics of China (NBS)

  • Statistics Japan

  • Provides data from a range of Japanese government bodies

  • National Statistics Center (Japan)

  • Korean Statistical Information Service (KOSIS)

  • Department of Statistics, Singapore (SINGSTAT)

How does IBISWorld forecast the data?

We generate forecasts using extracted and collated raw industry data from a variety of sources. We then incorporate macroeconomic, microeconomic and industry data into our forecasting model to transform data and project the industry’s outlook. We build forecasts in aggregate with multiple methods deployed simultaneously.

How often is the data updated?

Our data team conducts annual updates.

How is the data delivered?

Clients can access the data:

  • Via the Snowflake Marketplace (coming soon)

This allows teams to integrate industry intelligence directly into Business Intelligence (BI) dashboards, CRMs, knowledge hubs, copilots or internal AI systems.

In 2026, we will incorporate data for Asia into three additional places: (1) IBISWorld’s proprietary data tools, (2) Microsoft Copilot and (3) IBISWorld’s own AI copilot, Phil.

How does the dataset support AI pipelines, copilots and internal automation?

The data is structured, labeled and verified for use in enterprise AI systems.
Clients can use it to:

  • Ground Large Language Models (LLMs) and copilots in trusted industry context

  • Build internal knowledge hubs and Retrieval-Augmented Generation (RAG) workflows

  • Train credit risk, valuation and sales intelligence models

  • Surface industry metrics inside CRMs, dashboards and productivity suites

How does this dataset help with cross-country benchmarking?

Because every data point is standardized to ISIC and reconciled across sources, users can directly compare:

  • Market size

  • Growth rates

  • Risk exposure

  • Employment

  • Trade values

  • Sector performance

across multiple Asian economies without needing to adjust for local definitions.

Who is this dataset designed for?

Ideal users include:

  • Investment banks and commercial banks

  • Consultancies and corporate strategy teams

  • Accountants and valuation professionals

  • Multinational corporations evaluating Asia expansion

  • Risk, credit and portfolio management teams

  • Trade organizations and economic analysts

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