India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Net Value Added data was reported at 69.200 INR mn in 2015. This records a decrease from the previous number of 129.800 INR mn for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Net Value Added data is updated yearly, averaging 99.500 INR mn from Mar 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 156.300 INR mn in 2013 and a record low of 0.000 INR mn in 2012. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Net Value Added data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Factories data was reported at 3.000 Unit in 2015. This records a decrease from the previous number of 4.000 Unit for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Factories data is updated yearly, averaging 4.500 Unit from Mar 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 6.000 Unit in 2012 and a record low of 3.000 Unit in 2015. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Factories data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

Forecast: Production in Publishing of Directories and Mailing Lists Sector in Germany 2024 - 2028 Discover more data with ReportLinker!

Forecast: Production in Publishing of Directories and Mailing Lists Sector in the UK 2024 - 2028 Discover more data with ReportLinker!

India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Workers data was reported at 45.000 Person in 2015. This records a decrease from the previous number of 51.000 Person for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Workers data is updated yearly, averaging 45.000 Person from Mar 2010 (Median) to 2015, with 5 observations. The data reached an all-time high of 55.000 Person in 2013 and a record low of 0.000 Person in 2012. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Workers data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

Forecast: Production Value of Publishing of Directories and Mailing Lists in Germany 2024 - 2028 Discover more data with ReportLinker!

India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Total Output data was reported at 227.300 INR mn in 2015. This records a decrease from the previous number of 262.700 INR mn for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Total Output data is updated yearly, averaging 244.250 INR mn from Mar 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 262.700 INR mn in 2014 and a record low of 0.000 INR mn in 2012. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Total Output data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

Forecast: Production Value of Publishing of Directories and Mailing Lists in the UK 2024 - 2028 Discover more data with ReportLinker!

India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Invested Capital data was reported at 101.400 INR mn in 2015. This records an increase from the previous number of 75.000 INR mn for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Invested Capital data is updated yearly, averaging 84.400 INR mn from Mar 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 101.400 INR mn in 2015 and a record low of 0.000 INR mn in 2012. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Invested Capital data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

The global production management software market, valued at $573.5 million in 2025, is poised for significant growth. Driven by increasing demand for improved operational efficiency, enhanced supply chain visibility, and the need to meet evolving customer demands, this market is expected to experience robust expansion over the forecast period (2025-2033). The shift towards cloud-based solutions is a major trend, offering scalability, accessibility, and reduced IT infrastructure costs for businesses of all sizes. Large enterprises are adopting these solutions to streamline complex production processes, optimize resource allocation, and gain a competitive edge. Simultaneously, SMEs are increasingly leveraging these systems to improve productivity and manage their operations effectively. While the initial investment in software and training can be a restraint for some organizations, the long-term return on investment (ROI) in terms of increased efficiency and reduced costs significantly outweighs this barrier. The market is segmented by deployment type (cloud-based and on-premise) and application (large enterprises and SMEs), with cloud-based solutions experiencing faster growth. Geographical distribution shows strong presence in North America and Europe, followed by Asia-Pacific, driven by increasing industrialization and technological adoption in these regions. The competitive landscape comprises established players like Visible, Nasdaq IR Insight, and others, each vying for market share with differentiated offerings. Future growth will likely be fueled by advancements in artificial intelligence (AI) and machine learning (ML) integrated into production management systems, leading to even greater automation and predictive capabilities. The continued adoption of Industry 4.0 technologies and the growing emphasis on data-driven decision-making will further accelerate market growth. While challenges such as data security and integration complexities remain, the overall market outlook is positive, with a projected Compound Annual Growth Rate (CAGR) likely to be in the high single digits to low double digits based on current market trends and technological advancements, indicating a substantial market expansion throughout the forecast period. This growth will be fueled by the ongoing need for enhanced productivity, reduced operational costs, and improved overall supply chain resilience within manufacturing and related sectors. The competitive landscape will likely see further consolidation and innovation as vendors strive to offer comprehensive and user-friendly solutions.

In Italy, in 2020, public institutions and manufacturing were the B2C (business-to-consumer) industries with the highest rate of direct e-mails where users clicked on all links. Their CTR (click-through rate) was 3.6 and 3.2 percent, respectively.

Success.ai offers a comprehensive, enterprise-ready B2B leads data solution, ideal for businesses seeking access to over 150 million verified employee profiles and 170 million work emails. Our data empowers organizations across industries to target key decision-makers, optimize recruitment, and fuel B2B marketing efforts. Whether you're looking for UK B2B data, B2B marketing data, or global B2B contact data, Success.ai provides the insights you need with pinpoint accuracy.

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Use Cases for Success.ai's Contact Data - Targeted B2B Marketing: Create precise campaigns by targeting key professionals in industries like tech and finance. - Sales Outreach: Build focused sales lists of decision-makers and C-suite executives for faster deal cycles. - Recruiting Top Talent: Easily find and hire qualified professionals with updated employee profiles. - CRM Enrichment: Keep your CRM current with verified, accurate employee data. - Event Targeting: Create attendee lists for events by targeting relevant professionals in key sectors. - Market Research: Gain insights into employment trends and company profiles for better business decisions. - Executive Search: So...

India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Interest Paid data was reported at 6.800 INR mn in 2015. This records an increase from the previous number of 5.900 INR mn for 2014. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Interest Paid data is updated yearly, averaging 6.250 INR mn from Mar 2012 (Median) to 2015, with 4 observations. The data reached an all-time high of 6.800 INR mn in 2015 and a record low of 0.000 INR mn in 2012. India Manufacturing Industries: NIC 2008: 5812: Publishing of Directories and Mailing Lists: Interest Paid data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under India Premium Database’s Mining and Manufacturing Sector – Table IN.BAE147: Manufacturing Industry: NIC 2008: 5812: Publishing of Directories and Mailing Lists.

Based on the annual revenues of 500 companies, the Fortune China 500 ranking in 2024 revealed that China National Machinery Industry Corporation was the market leader in the Chinese machinery manufacturing industry. Ranking 82nd among all companies based in China, the conglomerate generated about 46.5 billion U.S. dollars in 2023.

Abstract

The survey was conducted in Ecuador between March and October of 2017 as part of Enterprise Surveys project, an initiative of the World Bank. Data from 361 establishments was analyzed.

The objective of the survey is to gain an understanding of what firms experience in the private sector. 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 and 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 percent 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.

Geographic coverage

National Coverage

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 the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population 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 2017 Ecuador ES was selected using stratified random sampling.

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed as follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15- 37), Retail industries (ISIC code 52) and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

For the Ecuador ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across three regions: Pichincha, Guayas and Azuay.

Given the stratified design, sample frames containing a complete and updated list of establishments as well as information on all stratification variables (number of employees, industry, and region) are required to draw the sample. Great efforts were made to obtain the best source for these listings.

The sample frame consisted of listings of firms from two sources: for panel firms the list of 366 firms from the Ecuador 2010 ES was used, and for fresh firms (i.e., firms not covered in 2010) the list obtained from the Superintendencia de Compañías Valores y Seguros del Ecuador, 2016.

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that 2 different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions.

The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions).

Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module).

Each variation of the questionnaire is identified by the index variable, a0.

The end date of the last complete fiscal year is identified by variables a20y, a20m, and a20d, collecting information on respectively, year, month, and day. For questions pertaining to monetary amounts, the unit is the United States dollar.

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

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

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 (-8) as a different option from don’t know (-9). b- Establishments with incomplete information are usually re-contacted in order to complete this information, whenever necessary. For this survey, there were zero non-responses for the sales variable, d2. Please, note that for this specific question, refusals were not separately identified from “Don’t know” responses.

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; whenever this was done, strict rules were followed to ensure replacements were randomly selected within the same stratum. Further research is needed on survey non-response in the Enterprise Surveys regarding potential introduction of bias.

The share of interviews per contacted establishments was 0.23 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 share of rejections per contact was 0.46.

List showing company name, certificate number, company address and address of manufacturing plant of Holders of Certificate for Manufacturer (Good Manufacturing Practice for Proprietary Chinese Medicines)

The German chemical company BASF was ranked number one in the ranking of the world's leading chemical companies based on revenue, generating a revenue of approximately 68.03 billion U.S. dollars in 2024. Revenue of the top chemical companies worldwide Chemical companies produce and develop industrial chemicals through the conversion of raw materials –organic and inorganic - into a wide variety of products. Chemical production is classified into two separate categories. There are specialty batch manufacturers that produce more expensive chemicals that are less commonly used within the chemical market. These performance chemicals are often produced by smaller manufacturers. On the other hand, commodity manufacturers tend to produce a large volume of basic and inexpensive compounds. The production of organic polymers for plastics, fibers, and elastomers is a rapidly growing sector of the chemical industry. Leading chemical manufacturing countries The chemical manufacturing industry in the United States is quite prominent, with companies such as Dow, DuPont, and LyondellBasell Industries. The chemical sector in Europe is also very prominent, as demonstrated by the fact that it represents a great proportion of their manufacturing trade surplus. Europe (and the European Union) is one of the largest chemical trading regions in the world. With Germany accounting for the largest share of total EU chemical revenue. Three of Germany’s chemical companies are considered some of the largest in the world. German companies BASF and Bayer are consistently among the largest earning chemical companies in the world. BASF operates on a global scale and maintains its segmental operations in chemicals, materials, surface technologies, nutrition and care, industrial solutions, and agricultural solutions. With headquarters around the world, Bayer is known for marketing heroin in the past and branding aspirin.

Production in the manufacturing industry: Germany, Years, List of Goods (9-Steller)

This dataset provides values for INDUSTRY INDEX MANUFACTURING reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Report Overview:

IMARC Group’s report, titled “Lactic Acid Ester of Mono- and Diglycerides Manufacturing Plant Project Report 2025: Industry Trends, Plant Setup, Machinery, Raw Materials, Investment Opportunities, Cost and Revenue” provides a complete roadmap for setting up a lactic acid ester of mono- and diglycerides manufacturing plant. It covers a comprehensive market overview to micro-level information such as unit operations involved, raw material requirements, utility requirements, infrastructure requirements, machinery and technology requirements, manpower requirements, packaging requirements, transportation requirements, etc. The lactic acid ester of mono- and diglycerides project report provides detailed insights into project economics, including capital investments, project funding, operating expenses, income and expenditure projections, fixed costs vs. variable costs, direct and indirect costs, expected ROI and net present value (NPV), profit and loss account, financial analysis, etc.

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Lactic acid ester of mono- and diglycerides (LACTEM) stands as a significant food additive, garnering attention for its versatile functionalities and applications in the food and beverage industry. Created through the esterification of mono- and diglycerides with lactic acid, this compound functions as an emulsifier and stabilizer, enhancing texture, shelf life, and overall quality of various food products. Its ability to improve dough properties, control crystallization in confections, and maintain consistency in dairy items has positioned LACTEM as a vital ingredient in the manufacturing of baked goods, dairy products, and processed foods. Amidst evolving consumer preferences and food formulations, LACTEM's role remains pivotal in shaping the sensory and structural attributes of modern culinary offerings.

This compound offers numerous advantages and finds diverse applications in the food industry. As an emulsifier and stabilizer, it enhances product quality by improving texture, shelf life, and mouthfeel in baked goods, dairy products, margarines, and processed foods. LACTEM's unique properties facilitate dough conditioning, preventing staling and extending freshness. It aids in preventing fat bloom in chocolate and ensures uniform dispersion of fat in beverages. Moreover, LACTEM contributes to consistent mixing, reduced ingredient separation, and improved aeration in various formulations. Its ability to address texture, flavor release, and appearance underscores its value in creating appealing and shelf-stable food products.

The market for lactic acid ester of mono- and diglycerides (LACTEM) is driven by several key factors and trends. As consumer preferences shift towards clean label and healthier food choices, LACTEM's natural origin and functionality make it an attractive alternative to synthetic emulsifiers. This aligns with the trend of cleaner ingredient lists and transparent labeling in food products. Moreover, the growing demand for convenience foods, including baked goods and processed dairy items, has boosted the need for stabilizers and emulsifiers like LACTEM. It plays a pivotal role in ensuring consistent quality, texture, and shelf life in these products. LACTEM's application extends to plant-based and dairy-free alternatives, aligning with the rising demand for vegan and allergen-friendly options. Its multifunctionality in enhancing texture and stability makes it a valuable component in such formulations. Incorporation of LACTEM also addresses sustainability concerns, as it aids in reducing food waste through extended shelf life and improved product quality. As regulations become more stringent and consumers seek healthier choices, LACTEM's role as a versatile and functional ingredient is poised to grow, shaping the future of the food industry.

The following aspects have been covered in the report on setting up a lactic acid ester of mono- and diglycerides manufacturing plant:

• Market Analysis:
  • Market Performance
  • Market Breakup by Segment
  • Market Breakup by Region
  • Price Analysis
  • Impact of COVID-19
  • Market Outlook
    

The report provides insights into the landscape of the lactic acid ester of mono- and diglycerides industry at the global level. The report also provides a segment-wise and region-wise breakup of the global lactic acid ester of mono- and diglycerides industry. Additionally, it also provides the price analysis of feedstocks used in the manufacturing of lactic acid ester of mono- and diglycerides, along with the industry profit margins.

• Detailed Process Flow:
  • Product Overview
  • Unit Operations Involved
  • Mass Balance and Raw Material Requirements
  • Quality Assurance Criteria
  • Technical Tests
    

The report also provides detailed information related to the process flow and various unit operations involved in a lactic acid ester of mono- and diglycerides manufacturing plant. Furthermore, information related to mass balance and raw material requirements has also been provided in the report with a list of necessary quality assurance criteria and technical tests.

• Project Details, Requirements and Costs Involved:
  • Land, Location and Site Development
  • Plant Layout
  • Machinery Requirements and Costs
  • Raw Material Requirements and Costs
  • Packaging Requirements and Costs
  • Transportation Requirements and Costs
  • Utility Requirements and Costs
  • Human Resource Requirements and Costs
    

The report provides a detailed location analysis covering insights into the land location, selection criteria, location significance, environmental impact, and expenditure for setting up a lactic acid ester of mono- and diglycerides manufacturing plant. Additionally, the report also provides information related to plant layout and factors influencing the same. Furthermore, other requirements and expenditures related to machinery, raw materials, packaging, transportation, utilities, and human resources have also been covered in the report.

• Project Economics:
  • Capital Investments
  • Operating Costs
  • Expenditure Projections
  • Revenue Projections
  • Taxation and Depreciation
  • Profit Projections
  • Financial Analysis
    

The report also covers a detailed analysis of the project economics for setting up a lactic acid ester of mono- and diglycerides manufacturing plant. This includes the analysis and detailed understanding of capital expenditure (CapEx), operating expenditure (OpEx), income projections, taxation, depreciation, liquidity analysis, profitability analysis, payback period, NPV, uncertainty analysis, and sensitivity analysis. Furthermore, the report also provides a detailed analysis of the regulatory procedures and approvals, information related to financial assistance, along with a comprehensive list of certifications required for setting up a lactic acid ester of mono- and diglycerides manufacturing plant.

Report Coverage: