Techsalerator’s Business Technographic Data for Sri Lanka: Unlocking Insights into Sri Lanka's Technology Landscape

Techsalerator’s Business Technographic Data for Sri Lanka provides a detailed and comprehensive dataset essential for businesses, market analysts, and technology vendors seeking to understand and engage with companies operating within Sri Lanka. This dataset offers in-depth insights into the technological landscape, capturing and organizing data related to technology stacks, digital tools, and IT infrastructure used by businesses in the country.

Please reach out to us at info@techsalerator.com or visit Techsalerator Contact.

Top 5 Most Utilized Data Fields

• Company Name: This field lists the names of companies in Sri Lanka, enabling technology vendors to target potential clients and allowing analysts to assess technology adoption trends within specific businesses.

• Technology Stack: This field outlines the technologies and software solutions a company uses, such as accounting systems, customer management software, and cloud services. Understanding a company's technology stack is key to evaluating its digital maturity and operational needs.

• Deployment Status: This field indicates whether the technology is currently deployed, planned for future deployment, or under evaluation. Vendors can use this information to assess the level of technology adoption and interest among companies in Sri Lanka.

• Industry Sector: This field specifies the industry in which the company operates, such as tourism, agriculture, or retail. Knowing the industry helps vendors tailor their products to sector-specific demands and emerging trends in Sri Lanka.

• Geographic Location: This field identifies the company's headquarters or primary operations within Sri Lanka. Geographic information aids in regional analysis and understanding localized technology adoption patterns across the island.

Top 5 Technology Trends in Sri Lanka

• Digital Transformation in Banking: Sri Lankan banks are increasingly adopting digital solutions such as mobile banking apps, online payment systems, and advanced fraud detection technologies to enhance customer experience and operational efficiency.

• E-Government Initiatives: The Sri Lankan government is investing in digital services and e-government platforms to streamline public services, improve transparency, and enhance citizen engagement.

• IT and Software Development: With a growing tech sector, Sri Lanka is seeing significant investments in IT and software development. Companies are adopting modern development tools, cloud platforms, and agile methodologies to drive innovation.

• Renewable Energy Adoption: There is a rising focus on renewable energy technologies, including solar and wind power, as Sri Lanka aims to increase its sustainability and reduce reliance on fossil fuels.

• E-commerce Growth: The e-commerce sector in Sri Lanka is expanding rapidly, with businesses increasingly utilizing online platforms, digital marketing strategies, and logistics solutions to cater to a growing consumer base.

Top 5 Companies with Notable Technographic Data in Sri Lanka

• Commercial Bank of Ceylon: A leader in digital banking, Commercial Bank of Ceylon is implementing advanced online banking features, mobile apps, and cybersecurity measures to enhance financial services.

• Dialog Axiata: A major telecom provider, Dialog Axiata is driving digital connectivity through high-speed internet, mobile services, and investments in 5G technology, expanding digital access across Sri Lanka.

• Sri Lanka Telecom (SLT): As the primary telecommunications provider, SLT is incorporating cutting-edge technologies to improve network infrastructure and provide reliable communication services.

• HNB (Hatton National Bank): HNB is focused on digital innovation in banking, offering a range of online and mobile banking solutions to improve customer service and streamline operations.

• John Keells Holdings: A leading conglomerate, John Keells Holdings is leveraging IT solutions and digital tools across its diverse business interests, from retail to hospitality, to enhance operational efficiency and customer engagement.

Accessing Techsalerator’s Business Technographic Data

For those interested in accessing Techsalerator’s Business Technographic Data for Sri Lanka, please contact info@techsalerator.com with your specific needs. Techsalerator offers customized quotes based on the required number of data fields and records, with datasets available for delivery within 24 hours. Ongoing access options can also be arranged upon request.

Included Data Fields

• Company Name
• Technology Stack
• Deployment Status
• Industry Sector
• Geographic Location
• IT Infrastructure
• Software Solutions
• Technology Usage Trends
• Vendor De...

Techsalerator's Corporate Actions Dataset in Sri Lanka offers a comprehensive collection of data fields related to corporate actions, providing valuable insights for investors, traders, and financial institutions. This dataset includes crucial information about the various financial instruments of all 289 companies traded on the Colombo Stock Exchange (XCOL).

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Top 5 used data fields in the Corporate Actions Dataset for Sri Lanka:

• Dividend Declaration Date: The date on which a company's board of directors announces the dividend payout to its shareholders. This information is crucial for investors who rely on dividends as a source of income.

• Stock Split Ratio: The ratio by which a company's shares are split to increase liquidity and affordability. This field is essential for understanding changes in share structure.

• Merger Announcement Date: The date on which a company officially announces its intention to merge with another entity. This field is crucial for investors assessing the impact of potential mergers on their investments.

• Rights Issue Record Date: The date on which shareholders must be on the company's books to be eligible for participating in a rights issue. This data helps investors plan their participation in fundraising events.

• Bonus Issue Ex-Date: The date on which a company's shares start trading without the value of the bonus issue. This information is vital for investors to adjust their portfolios accordingly.

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Top 5 corporate actions in Sri Lanka:

Equity Issuances: Sri Lankan companies often engage in equity issuances such as initial public offerings (IPOs) or rights issues to raise capital for expansion and growth.

Mergers and Acquisitions (M&A): Corporate actions related to mergers, acquisitions, and takeovers play a role in shaping industry landscapes and consolidation in Sri Lanka.

Foreign Direct Investment (FDI): Corporate actions involving foreign investment and joint ventures contribute to economic growth and international collaboration in various sectors.

Debt Issuances: Sri Lankan businesses may issue bonds or other debt instruments to raise funds for capital investments and operational needs.

Dividend Declarations: Companies often announce dividends to distribute profits to shareholders, reflecting financial performance and commitment to shareholder value.

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Top 5 financial instruments with corporate action Data in Sri Lanka

Colombo Stock Exchange (CSE) Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Colombo Stock Exchange. This index would provide insights into the performance of the Sri Lankan stock market.

Colombo Stock Exchange (CSE) Foreign Company Index: The index that tracks the performance of foreign companies listed on the Colombo Stock Exchange. This index would give an overview of foreign business involvement in Sri Lanka.

LankaMart: A Sri Lanka-based supermarket chain with operations in multiple regions. LankaMart focuses on offering high-quality products and services to local and international customers.

Inclusive Finance Lanka: A financial services provider with operations across various markets, including Sri Lanka. Inclusive Finance Lanka emphasizes financial inclusion and access to services for underserved populations.

GreenSeed Lanka: A leading producer and distributor of sustainable agricultural products and certified crop seeds in various countries, including Sri Lanka. GreenSeed Lanka contributes to Sri Lanka's commitment to sustainability and responsible agricultural practices.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Sri Lanka, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Dividend Declaration Date Stock Split Ratio Merger Announcement Date Rights Issue Record Date Bonus Issue Ex-Date Stock Buyback Date Spin-Off Announcement Date Dividend Record Date Merger Effective Date Rights Issue Subscription Price ‍

Q&A:

How much does the Corporate Actions Dataset cost in Sri Lanka?

The cost of the Corporate Actions Dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

How complete is the Corporate Actions Dataset coverage in Sri Lanka?

Techsalerator provides comprehensive coverage of Corporate Actions Data for various companies and securities traded on the Sri Lanka Stock Exchange. The dataset encompasses major corporate actions announced by entities in the Sri Lanka market.

How does Techsale...

Key information about Sri Lanka Total Deposits

• Sri Lanka Total Deposits was reported at 57.394 USD bn in Dec 2024
• This records a decrease from the previous number of 57.593 USD bn for Nov 2024
• Sri Lanka Total Deposits data is updated monthly, averaging 30.137 USD bn from Dec 2002 to Dec 2024, with 265 observations
• The data reached an all-time high of 60.418 USD bn in Feb 2022 and a record low of 6.981 USD bn in Dec 2002
• Sri Lanka Total Deposits data remains active status in CEIC and is reported by CEIC Data
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Total Deposits: USD: Monthly

CEIC converts monthly Total Deposits into USD. The Central Bank of Sri Lanka provides Total Deposits in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Total Deposits covers all financial institutions.

The size of the Sri Lanka Cyber (Liability) Insurance Market market was valued at USD XX Million in 2024 and is projected to reach USD XXX Million by 2033, with an expected CAGR of 2.00% during the forecast period. Recent developments include: In January 2022, Fairfirst Insurance launched its innovative Click2Claim platform with AI-powered claim settlements. Using AI technology, this platform could enable them to settle their claims as fast as five minutes. The platform is initially launched for settling Motor claims., In August 2022, Allianz Lanka forged a partnership with Cargills Bank, the banking arm of the Cargills Group. Through this partnership, Allianz Life Insurance Lanka Ltd would provide Cargills Bank customers with convenient and comprehensive Decreasing Term Insurance (DTA) solutions.. Notable trends are: Economic Crisis in Sri Lanka is Affecting the Local Cyber-Security.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 289 companies listed on the Colombo Stock Exchange (XCOL) in Sri Lanka. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Sri Lanka:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Sri Lanka:

Colombo Stock Exchange All Share Price Index (ASPI): The main index that tracks the performance of all companies listed on the Colombo Stock Exchange (CSE), providing an overview of the overall market performance in Sri Lanka.

Company X: A prominent Sri Lankan company operating in sectors such as banking, telecommunications, or manufacturing. This company's stock is among the most actively traded on the CSE and influences market trends.

Company Y: A major Sri Lankan bank or financial institution offering a wide range of financial services. This company's stock is significant in the financial sector and reflects the economic landscape of Sri Lanka.

John Keells Holdings PLC: A leading conglomerate in Sri Lanka with interests in diverse sectors including transportation, leisure, and retail. The stock of John Keells Holdings is actively traded and has a significant impact on the market.

Company Z: A well-established Sri Lankan company in sectors such as consumer goods, healthcare, or energy. This company's stock contributes to the diversity of the market and may hold strategic significance.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Sri Lanka, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Sri Lanka ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Sri Lanka?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Sri Lanka exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including ...

Key information about Sri Lanka Domestic Credit

• Sri Lanka Domestic Credit reached 60.9 USD bn in Sep 2025, compared with a reported figure of 60.5 USD bn in the previous month
• Sri Lanka Domestic Credit data is updated monthly
• It is available from Jan 1996 to Sep 2025 and averaged 19.4 USD bn
• The data reached an all-time high of 71.6 USD bn in Feb 2022 and a record low of 4.9 USD bn in Feb 1996

CEIC converts monthly Domestic Credit into USD. The Central Bank of Sri Lanka provides Domestic Credit in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions.


Further information about Sri Lanka Domestic Credit

• In the latest reports, Sri Lanka Domestic Credit represented an increased of 11.8 % YoY in Sep 2025
• Money Supply M2 in Sri Lanka increased to 45.1 USD bn YoY in Sep 2025
• Sri Lanka Foreign Exchange Reserves was measured at 6.1 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 2.8 Months of Import in Oct 2025
• The country's Non Performing Loans Ratio stood at 4.5 % in Dec 2021, compared with the ratio of 4.9 % in the previous year
• Household Debt of Sri Lanka reached 6.6 % in Dec 2024, accounting for 6.6 % of the country's Nominal GDP

Mean operational efficiency scores of each country’s CBs (2013–2018).

Asia-Pacific Islamic Finance Market is Segmented by Financial Sector (Islamic Banking, Islamic Insurance 'Takaful', Islamic Bonds 'Sukuk', Other Islamic Financial Institutions (OIFL's), and Islamic Funds), by Geography (Bangladesh, Pakistan, Sri Lanka, Indonesia, Malaysia and Rest of Asia-Pacific). The Report Offers Market Size and Forecasts for the Asia-Pacific Islamic Finance Market in Value (USD) for all the Above Segments.

Techsalerator’s Business Funding Data for Sri Lanka

Techsalerator’s Business Funding Data for Sri Lanka provides a comprehensive and insightful collection of information crucial for businesses, investors, and financial analysts. This dataset offers an in-depth analysis of the funding activities of companies across various sectors in Sri Lanka, capturing and categorizing data related to their funding rounds, investment sources, and financial milestones.

If you need the full dataset, reach out to us at info@techsalerator.com or https://www.techsalerator.com/contact-us.

Techsalerator’s Business Funding Data for Sri Lanka

Techsalerator’s Business Funding Data for Sri Lanka presents a detailed and insightful overview of critical information for businesses, investors, and financial analysts. This dataset provides an in-depth examination of funding activities across various sectors in Sri Lanka, detailing data related to funding rounds, investment sources, and key financial milestones.

Top 5 Key Data Fields

Company Name: Identifies the company receiving funding. This information helps investors pinpoint potential opportunities and allows analysts to monitor funding trends within specific industries.

Funding Amount: Shows the total amount of funding a company has received. Understanding these amounts provides insights into the financial health and growth potential of businesses and the scale of investment activities.

Funding Round: Indicates the stage of funding, such as seed, Series A, Series B, or later stages. This helps investors assess a business’s maturity and growth trajectory.

Investor Name: Provides details about the investors or investment firms involved. Knowing the investors helps gauge the credibility of the funding source and their strategic interests.

Investment Date: Records when the funding was completed. The timing of investments can reflect market trends, investor confidence, and potential impacts on a company’s future.

Top 5 Funding Trends in Sri Lanka

Infrastructure Development: Significant investments are being made in infrastructure projects, including transportation networks, energy production, and urban development. These investments are crucial for enhancing economic growth and connectivity.

Technology and Innovation: The tech sector in Sri Lanka is experiencing increased funding, focusing on startups and innovations in fintech, software development, and digital transformation.

Agriculture and Agritech: With agriculture being a key sector, funding is directed towards modernizing practices through agritech solutions, improving productivity, and promoting sustainability.

Healthcare and Pharmaceuticals: Investments are flowing into healthcare infrastructure, pharmaceutical advancements, and health tech innovations to address public health needs and support medical research.

Education and Skill Development: Funding is allocated to educational programs and vocational training initiatives aimed at improving literacy rates, skill development, and creating employment opportunities.

Top 5 Companies with Notable Funding Data in Sri Lanka

Dialog Axiata: Sri Lanka’s leading telecommunications provider, Dialog Axiata, has received significant funding to expand its network coverage, enhance digital services, and support technological innovations.

HNB (Hatton National Bank): This major financial institution has attracted substantial investment to enhance its banking services, expand its digital offerings, and drive financial inclusion.

Cinnamon Hotels & Resorts: A prominent player in the hospitality sector, Cinnamon Hotels & Resorts has secured funding to upgrade its facilities, expand its market presence, and enhance guest experiences.

Maliban Biscuits: This leading biscuit manufacturer has garnered funding to expand its production capacity, develop new products, and strengthen its market position.

PickMe: An innovative ride-hailing and logistics platform, PickMe has received funding to enhance its technology infrastructure, expand its service areas, and drive growth in the mobility sector.

Accessing Techsalerator’s Business Funding Data

To obtain Techsalerator’s Business Funding Data for Sri Lanka, contact info@techsalerator.com with your specific needs. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Company Name
• Funding Amount
• Funding Round
• Investor Name
• Investment Date
• Funding Type (Equity, Debt, Grants, etc.)
• Sector Focus
• Deal Structure
• Investment Stage
• Contact Information

For detailed insights into funding activities and financial trends in Sri Lanka, Techsalerator’s dataset is an invaluable resource for investors, business analysts, and financial professionals seeking informed, strategic decisions.

Abstract

The Investment Climate Surveys (ICS) were conducted by the World Bank and its partners across all geographic regions and covered firms of all sizes in many industries. The ICS collected a wide array of qualitative and quantitative information through face-to-face interviews with managers and owners regarding the investment climate in their country and the productivity of their firms. Topics covered in the ICS included the obstacles to doing business, infrastructure, finance, labor, corruption and regulation, contract enforcement, law and order, innovation and technology, and firm productivity. Taken together, the qualitative and quantitative data helped connect a country’s investment climate characteristics with firm productivity and performance.

Firm-level surveys have been administered since 1998 by different units within the World Bank. Since 2005-06, most data collection efforts have been centralized within the Enterprise Analysis Unit (FPDEA). Enterprise Surveys, a replacement for Investment Climate Surveys, are now conducted by the Enterprise Analysis Unit.

Sri Lanka Investment Climate Survey 2004 covered urban as well as rural establishments. The dataset in this file describes urban manufacturing firms. Data from 452 formal establishments in textiles, garments, food and beverages, rubber products, and industrial equipment industries was analyzed.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

Sri Lanka has nine provinces which are further subdivided into 25 districts. Of these 25 districts, some areas are considered urban, which are either administered by municipality center/urban center (MC/UC - 16 MCs and 30 UCs). The rural areas are administered by district secretary local government.

The urban manufacturing part of Sri Lanka ICS 2004 covered the following sectors: Food and Beverage (ISIC 311, 312, 313), Textile (321), Garments (322), Industrial Equipment (382), and Rubber Products (355).

The sampling frame was comprised of the following sources: 1) List of manufacturing establishments for the Western Province (3 districts) developed in cooperation with United Nations Industrial Development Organization (UNIDO). A draft list was consolidated from the registers of the Board of Investment, Ministry of Industries, Ministry of Textile and MEIPIP and was further improved by ground checks. DCS is confident that they have captured all the establishments with five or more employees in the Western Province. 2) List of manufacturing establishments with 25 or more employees that were used as the sampling frame for the Annual Survey of Manufacturing Industries. This list originated from the 1983 Census of Establishments. The 1993 Census of Establishments Establishments was not conducted because of the political situation in the country and was updated annually from the registers mentioned above. 3) List of manufacturing establishments with less than 25 employees that were sampled for the Annual Survey of Industries.

Establishments that had 500 or more employees were selected with certainty, while others were selected by using the stratified simple random sample design. In general, the strata were defined by the sector "X" provincial groups. In cases where the stratum sizes in specific sectors were very sparse, sectors were collapsed. Hence, the final stratification was determined by iteratively collapsing small strata until a sufficient strata size was obtained to ensure a 100% replacement in all strata and adequate strata sample sizes.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instrument is available: - Investment Climate Survey Questionnaire.

The survey includes questions on firm productivity, cost of doing business, regulatory environment, labor market, financial sector, trade regime, technology and levels of investment.

Abstract

The survey was conducted in Sri Lanka between June and November 2011 as part of the Enterprise Survey project, an initiative of the World Bank. Data from 610 establishments was analyzed.

The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance. The mode of data collection is face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Sri Lanka was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into 2 manufacturing industries, 1 services industry -retail -, and two residual sectors as defined in the sampling manual. Each manufacturing industry had a target of 120 interviews. The services industry and the two residual sectors had a target of 120 interviews.

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not a common practice, except in the sectors of construction and agriculture.

Regional stratification was defined in nine regions: Eastern, Western, Southern, Central, Northern, North-Central, North-West, Uva, Sabaragamuwa.

One frame was used for the Enterprise Survey in Sri Lanka. The sample frame containing fresh contacts used in the Sri Lanka was obtained from the Department of Census and Statistics of Sri Lanka (DCS) 2003.

The enumerated establishments were then used as the frame for the selection of a sample with the aim of obtaining interviews at 600 establishments with five or more employees.

The quality of the frame was assessed at the onset of the project through calls to a random subset of firms and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Due to response rate and ineligibility issues, additional sample had to be extracted by DCS and the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 50% (900 out of 1806 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Questionnaire; - Services Questionnaire; - Screener Questionnaire.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of contacted establishments per realized interview was 2.96. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.136.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

The Sri Lankan cyber liability insurance market, while currently relatively nascent, exhibits significant growth potential. Driven by increasing digitalization across personal, SME, and corporate sectors, coupled with rising cyber threats and stringent data protection regulations, the market is poised for expansion. The financial services, government, healthcare, and professional services industries are key adopters, reflecting their heightened vulnerability to cyberattacks and the potential for substantial financial and reputational damage. A compound annual growth rate (CAGR) of 2.00% from 2019-2024 suggests a steadily growing market, although this rate could accelerate based on several factors. Increased awareness of cyber risks among businesses and individuals, coupled with more sophisticated and affordable insurance products, are likely to fuel market penetration. However, challenges remain, including a relatively low level of cyber insurance literacy among the population and potential limitations in the capacity of local insurers to underwrite complex cyber risks. The market's size in 2025 is estimated to be approximately $15 million (USD), assuming a gradual but steady growth trajectory. This estimate is derived from extrapolating the available historical data and considering the market's current stage of development and projected growth drivers. The market segmentation highlights the diverse needs across different end-users and industries. Personal cyber insurance is expected to show growth driven by increasing online transactions and personal data breaches. Meanwhile, the SME and corporate segments will demonstrate strong growth as businesses become more reliant on digital technologies and more aware of potential vulnerabilities. Key players, including Fairfirst Insurance, Milliman Insurance, Allianz, AXA XL, and IIRM Lanka, are actively participating, though competition could intensify as more insurers enter the market. The forecast period (2025-2033) offers promising opportunities for market expansion, as digital transformation continues and cyber insurance becomes increasingly recognized as a crucial risk management tool within Sri Lanka. Further regulatory frameworks and public awareness initiatives will be pivotal in fostering sustainable market growth. Recent developments include: In January 2022, Fairfirst Insurance launched its innovative Click2Claim platform with AI-powered claim settlements. Using AI technology, this platform could enable them to settle their claims as fast as five minutes. The platform is initially launched for settling Motor claims., In August 2022, Allianz Lanka forged a partnership with Cargills Bank, the banking arm of the Cargills Group. Through this partnership, Allianz Life Insurance Lanka Ltd would provide Cargills Bank customers with convenient and comprehensive Decreasing Term Insurance (DTA) solutions.. Notable trends are: Economic Crisis in Sri Lanka is Affecting the Local Cyber-Security.

The Gross Domestic Product (GDP) in Sri Lanka was worth 98.96 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Sri Lanka represents 0.09 percent of the world economy. This dataset provides the latest reported value for - Sri Lanka GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Key information about Sri Lanka Household Debt

• Sri Lanka Household Debt reached 6.8 USD bn in Dec 2024, compared with the reported number of 6.5 USD bn in the previous quarter
• Sri Lanka Household Debt: USD mn data is updated quarterly, available from Jun 2010 to Dec 2024
• The data reached an all-time high of 8.8 USD bn in Dec 2020 and a record low of 2.8 USD bn in Jun 2010

CEIC converts quarterly Household Debt into USD. The Central Bank of Sri Lanka provides Household Debt in local currency. The Federal Reserve Board period end market exchange rate is used for currency conversions. Loans are used due to the lack of Flow of Funds statistics. Household Debt includes Consumer Durables, Pawning, Credit Cards, Personal Education, Personal Healthcare and Others.


Further information about Sri Lanka Household Debt

• In the latest reports, Sri Lanka Household Debt accounted for 6.6 % of the country's Nominal GDP in Dec 2024
• Money Supply M2 in Sri Lanka increased 45.1 USD bn YoY in Sep 2025
• Sri Lanka Foreign Exchange Reserves was measured at 6.1 USD bn in Oct 2025
• The Foreign Exchange Reserves equaled 2.8 Months of Import in Oct 2025
• Sri Lanka Domestic Credit reached 60.9 USD bn in Sep 2025, representing an increased of 11.8 % YoY

Years-wise mean operational efficiency scores of all 147 CBs.

Abstract

The Management Practices Survey was conducted in Sri Lanka by the World Bank between June and November 2011. The survey was administered to a representative sample of firms in the non-agricultural formal private economy. Data from 836 establishments in services, manufacturing, ICT manufacturing and services, hospitality and health sectors was analyzed.

The objective of the survey was to obtain feedback from enterprises on the state of the private sector in Sri Lanka. The topics included infrastructure, sales and supplies, finance, regulations, business-government relations, corruption, informality, use of information and communications technology, labor, perceptions about obstacles to doing business, and operational practices in product and process innovation and management. Health care providers and tourism firms were also asked industry specific questions.

Three survey instruments were used in the research. Management Practices across Sectors Questionnaire was administered to manufacturing and services firms, Health Sector Questionnaire was used for private health providers, and hospitality firms were interviewed with the help of Tourism Sector Questionnaire.

This study was carried out simultaneously with Sri Lanka Enterprise Survey, also an initiative of the World Bank. The Management Practices Survey and Enterprise Surveys have similar sampling and implementation techniques, and for some topics - corresponding questions.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors. The universe also included private health care providers.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for Sri Lanka was selected using stratified random sampling. Three levels of stratification were used: industry, establishment size, and region.

For industry stratification, the universe was divided into three manufacturing sectors, two services industries, and two residual sectors. Each industry had a target of 120 interviews, while the residual sectors had a target of 100 interviews each.

Size stratification was defined the following way: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. Size stratification was not possible in the ICT manufacturing and services, health, and tourism sectors as the lists used did not contain size information.

Regional stratification was defined by nine regions: Eastern, Western, Southern, Central, Northern, North-Central, North-West, Uva, Sabaragamuwa.

Several sampling frames were used in the survey. The first sample frame was obtained from the Department of Census and Statistics (DCS) of Sri Lanka, the information was from 2003. Additional lists were used to supplement the DCS frame for the IT, health and tourism sectors. These lists were from: - ICT/Computer Association; - Federation of Information Technology Industry Sri Lanka; - Sri Lanka Association of Software and Service Companies; - Sri Lanka Tourism Promotion Bureau; - Local Chamber of Commerce/Trade Associations.

The quality of the frame was assessed at the onset of the project through calls to a random subset of firms, and local contractor knowledge. The sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc. Due to response rate and ineligibility issues, additional sample had to be extracted by Department of Census and Statistics of Sri Lanka and the World Bank in order to obtain enough eligible contacts and meet the sample targets.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 54% (860 out of 1593 establishments).

Breaking down by industry, the following numbers of establishments were surveyed: food - 121, light manufacturing - 125, ICT manufacturing and services - 106, other manufacturing - 116, private healthcare services - 120, tourism related services - 124, and other services - 124.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Management Practices across Sectors Questionnaire; - Tourism Sector Questionnaire; - Health Sector Questionnaire; - Screener Questionnaire.

Management Practices across Sectors Questionnaire is a core questionnaire. It is based on the Enterprise Surveys questionnaire, but adds some specific questions relevant to management practices. Tourism Sector Questionnaire adds to the core specific questions relevant to the tourism industry. Similarly, Health Sector Questionnaire contains many of the core items from the first questionnaire, but is custom tailored to the technology and services present in the health sector.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

The number of contacted establishments per realized interview was 1.39. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.287.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

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Sri Lanka CBSL Forecast: GDP: Current Market Price data was reported at 22,053.000 LKR bn in 2022. This records an increase from the previous number of 19,819.000 LKR bn for 2021. Sri Lanka CBSL Forecast: GDP: Current Market Price data is updated yearly, averaging 12,307.000 LKR bn from Dec 2010 (Median) to 2022, with 13 observations. The data reached an all-time high of 22,053.000 LKR bn in 2022 and a record low of 5,445.000 LKR bn in 2010. Sri Lanka CBSL Forecast: GDP: Current Market Price data remains active status in CEIC and is reported by Central Bank of Sri Lanka. The data is categorized under Global Database’s Sri Lanka – Table LK.A006: GDP: Forecast.