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Global Deep Learning Market (2018-2023) ( ) ( )

Author Netscribes ISBN -
Code ENI463 Format CD-Rom
Price: Rs 299925   299925 + Tax @ 18.00 % US$ 3999   3999
Pages: 100 Published 2018
Publisher Netscribes  
Usually Ships within 5

"Global Deep Learning Market 


In enterprise computing, deep learning is evolving into one of the most advanced technologies. Deep learning is a subset of machine learning in Artificial Intelligence (AI) that has networks capable of learning unsupervised, from data that is unstructured or unlabeled.

By offering expert assistance, it would be able to assist humans in extending their capabilities. Organizations are using deep learning networks to get valuable insights from huge amount of data. This is done to provide innovative products and better improved customer experiences, thereby raising revenue opportunities for the market. The global deep learning market is anticipated to reach USD 28.83 Bn and expand at a CAGR of 48.4% during the forecast period of 2018-2023. 


Deep learning techniques are used to develop new technologies such as natural language processing and visual data mining, to enhance product offerings. The growing need for deep learning in database systems, fraud detection and cyber security, is driving the growth process of data mining applications in the deep learning market. The market is classified into three primary segments – based on solution, application and end user.  

Based on solution: Hardware, software and services

Based on application: Image recognition, signal recognition, data mining, and others

Based on end user: Healthcare, BFSI, aerospace and defense, automotive, retail and media and entertainment and others (manufacturing, oil, gas and energy)

On the basis of regions, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.


Key growth factors


Deep learning offers faster and better memory utilization in comparison to traditional computing systems. Rising usage of deep learning technology among various industries such as automotive, advertisement, medical fuel the growth of the market. Robust research and development for the expansion of better processing hardware for deep learning, growing necessity for hardware platforms with high computing power to execute deep learning algorithms are key driving factors of deep learning market. Increasing acceptance of cloud based technology, high usage of deep learning in big data analytics, and rising applicability in healthcare and autonomous vehicles are accelerating growth.


Threats and key players


Deep learning requires high-performance hardware, which is not easily available. Greater complexities in hardware owing to complex algorithm in deep learning technology, can hamper the growth of the market. Many organizations prefer the traditional route over hyper parameter optimization, thereby restricting the revenue growth of the deep learning market.

Some of the prominent competitors in deep learning market are Google Inc., Microsoft Corporation, Qualcomm Technologies, Inc., IBM Corporation, Intel Corporation, General Vision Inc. and NVIDIA Corporation, etc.


What’s covered in the report?


1. Overview of the global deep learning market.

2. Market drivers and challenges of the global deep learning market.

3. Market trends in global deep learning market.

4. Historical, current and forecasted market size data for the segment based on solution. 

5. Historical, current and forecasted market size data for the segment based on application.

6. Historical, current and forecasted market size data for the segment based on end user.

7. Historical, current and forecasted regional (North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa) market size data for the deep learning market.

8. Historical, current and forecasted market size data for region-wise segments.

9. Analysis of company profiles of major competitors operating in the market.


Why buy?


1. Understand the demand for deep learning to determine the viability of the market

2. Determine the developed and emerging markets of deep learning 

3. Identify the challenge areas and address them

4. Develop strategies based on the drivers, trends and highlights for each of the segments

5. Evaluate the value chain to determine the workflow and to get an idea of the current position where you are placed

6. Recognize the key competitors of this market and respond accordingly

7. Knowledge of the initiatives and growth strategies taken by the major companies and decide the direction of further growth

8. Define the competitive positioning by comparing the products and services with the key players in the market

9. Recognize the extent and nature of the start-ups providing deep learning solutions


Customizations available


With the given market data, Netscribes offers customizations according to specific needs. Write to us at support@researchonglobalmarkets.com.

"

 

Chapter 1: Executive summary
 
1.1. Market scope and segmentation
1.2. Key questions answered in this study
1.3. Executive summary

Chapter 2: Global deep learning market - market overview

2.1. Market definitions
2.2. Global market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
2.3. Global - market drivers and challenges
2.4. Value chain analysis – Global deep learning market
2.5. Porter’s Five Forces Analysis
2.6. Market size- By solution (hardware revenue, software revenue and services revenue)
2.6. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.6. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. Market size- By application (Image recognition, signal recognition, data mining, and others)
2.7. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.7. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others )
2.8. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
2.8. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 3: North America deep learning market- market overview

3.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
3.2. North America - market drivers and challenges
3.3. Market size- By solution (hardware revenue, software revenue and services revenue)
3.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. Market size- By application (Image recognition, signal recognition, data mining, and others)
3.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others)
3.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
3.5. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 4: Europe deep learning market- market overview

4.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
4.2. Europe - market drivers and challenges
4.3. Market size- By solution (hardware revenue, software revenue and services revenue)
4.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. Market size- By application (Image recognition, signal recognition, data mining, and others)
4.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others)
4.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
4.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 5: Asia-Pacific deep learning market- market overview

5.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
5.2. Asia Pacific- market drivers and challenges
5.3. Market size- By solution (hardware revenue, software revenue and services revenue)
5.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. Market size- By application (Image recognition, signal recognition, data mining, and others)
5.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others)
5.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
5.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 6: Latin America deep learning market- market overview

6.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
6.2. Latin America- market drivers and challenges
6.3. Market size- By solution (hardware revenue, software revenue and services revenue)
6.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. Market size- By application (Image recognition, signal recognition, data mining, and others)
6.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others)
6.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
6.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 7: Middle East and Africa deep learning market- market overview

7.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD)
7.2. Middle East and Africa- market drivers and challenges
7.3. Market size- By solution (hardware revenue, software revenue and services revenue)
7.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. Market size- By application (Image recognition, signal recognition, data mining, and others)
7.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others)
7.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations
7.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations

Chapter 8: Competitive landscape

8.1. Google Inc.
8.1. a. Company snapshot
8.1. b. Product offerings
8.1. c. Growth strategies
8.1. d. Initiatives
8.1. e. Geographical presence
8.1. f. Key numbers
8.2. Microsoft Corporation
8.3. Qualcomm Technologies
8.4. IBM Corporation
8.5. Intel Corporation
8.6. General Vision Inc.
8.7. NVIDIA Corporation

Chapter 9: Conclusion

Chapter 10: Appendix

10.1. List of tables
10.2. Research methodology
10.3. Assumptions
10.4. About Netscribes Inc.


COMPANIES COVERED
o Google Inc.
o Microsoft Corporation
o Qualcomm Technologies
o IBM Corporation
o Intel Corporation
o General Vision Inc.
o NVIDIA Corporation

 

 

ABOUT NPCS

 

NIIR PROJECT CONSULTANCY SERVICES (NPCS) is a reliable name in the industrial world for offering integrated technical consultancy services. NPCS is manned by engineers, planners, specialists, financial experts, economic analysts and design specialists with extensive experience in the related industries.

Our various services are: Detailed Project Report,  Business Plan for Manufacturing Plant, Start-up Ideas, Business Ideas for Entrepreneurs, Start up Business Opportunities, entrepreneurship projects, Successful Business Plan, Industry Trends, Market Research, Manufacturing Process, Machinery, Raw Materials, project report, Cost and Revenue, Pre-feasibility study for Profitable Manufacturing Business, Project Identification, Project Feasibility and Market Study, Identification of Profitable Industrial Project Opportunities, Business Opportunities, Investment Opportunities for Most Profitable Business in India, Manufacturing Business Ideas, Preparation of Project Profile, Pre-Investment and Pre-Feasibility Study, Market Research Study, Preparation of Techno-Economic Feasibility Report, Identification and Section of Plant, Process, Equipment, General Guidance, Startup Help, Technical and Commercial Counseling for setting up new industrial project and Most Profitable Small Scale Business.

NPCS also publishes varies process technology, technical, reference, self employment and startup books, directory, business and industry database, bankable detailed project report, market research report on various industries, small scale industry and profit making business. Besides being used by manufacturers, industrialists and entrepreneurs, our publications are also used by professionals including project engineers, information services bureau, consultants and project consultancy firms as one of the input in their research.

Our Detailed Project report aims at providing all the critical data required by any entrepreneur vying to venture into Project. While expanding a current business or while venturing into new business, entrepreneurs are often faced with the dilemma of zeroing in on a suitable product/line.

 


And before diversifying/venturing into any product, wish to study the following aspects of the identified product:


• Good Present/Future Demand
• Export-Import Market Potential
• Raw Material & Manpower Availability
• Project Costs and Payback Period


We at NPCS, through our reliable expertise in the project consultancy and market research field, Provides exhaustive information about the project, which satisfies all the above mentioned requirements and has high growth potential in the markets. And through our report we aim to help you make sound and informed business decision.

 

The report contains all the data which will help an entrepreneur find answers to questions like:

• Why I should invest in this project?
• What will drive the growth of the product?
• What are the costs involved?
• What will be the market potential?


The report first focuses on enhancing the basic knowledge of the entrepreneur about the main product, by elucidating details like product definition, its uses and applications, industry segmentation as well as an overall overview of the industry sector in India. The report then helps an entrepreneur identify the target customer group of its product. It further helps in making sound investment decision by listing and then elaborating on factors that will contribute to the growth of product consumption in India and also talks about the foreign trade of the product along with the list of top importing and top exporting countries. Report includes graphical representation and forecasts of key data discussed in the above mentioned segment. It further explicates the growth potential of the product.

The report includes other market data like key players in the Industry segment along with their contact information and recent developments. It includes crucial information like raw material requirements, list of machinery and manufacturing process for the plant. Core project financials like plant capacity, costs involved in setting up of project, working capital requirements, projected revenue and profit are further listed in the report.


Reasons for buying the report:

• This report helps you to identify a profitable project for investing or diversifying into by throwing light to crucial areas like industry size, demand of the product and reasons for investing in the product.

• This report provides vital information on the product like its definition, characteristics and segmentation.

• This report helps you market and place the product correctly by identifying the target customer group of the product.

• This report helps you understand the viability of the project by disclosing details like raw materials required, manufacturing process, project costs and snapshot of other project financials.

• The report provides forecasts of key parameters which helps to anticipate the industry performance and make sound business decision.

 

Our Approach:


• Our research reports broadly cover Indian markets, present analysis, outlook and forecast.

• The market forecasts are developed on the basis of secondary research and are cross-validated through interactions with the industry players. 

• We use reliable sources of information and databases.  And information from such sources is processed by us and included in the report.

 

Our Market Survey cum Detailed Techno Economic Feasibility Report Contains following information:

 

 

Ø  Introduction

·         Project Introduction

·         Project Objective and Strategy

·         Concise History of the Product

·         Properties

·         BIS (Bureau of Indian Standards) Provision & Specification

·         Uses & Applications

 

Ø  Market Study and Assessment

·         Current Indian Market Scenario

·         Present Market Demand and Supply

·         Estimated Future Market Demand and Forecast

·         Statistics of Import & Export

·         Names & Addresses of Existing Units (Present Players)

·         Market Opportunity

 

Ø  Raw Material

·         List of Raw Materials

·         Properties of Raw Materials

·         Prescribed Quality of Raw Materials

·         List of Suppliers and Manufacturers

 

Ø  Personnel (Manpower) Requirements

·         Requirement of Staff & Labor (Skilled and Unskilled) Managerial, Technical, Office Staff and Marketing Personnel

 

Ø  Plant and Machinery

·         List of Plant & Machinery

·         Miscellaneous Items

·         Appliances & Equipments

·         Laboratory Equipments & Accessories

·         Electrification

·         Electric Load & Water

·         Maintenance Cost

·         Sources of Plant & Machinery (Suppliers and Manufacturers)

 

Ø  Manufacturing Process and Formulations

·         Detailed Process of Manufacture with Formulation

·         Packaging Required

·         Process Flow Sheet Diagram

 

Ø  Infrastructure and Utilities

·         Project Location

·         Requirement of Land Area

·         Rates of the Land

·         Built Up Area

·         Construction Schedule

·         Plant Layout and Requirement of Utilities

 

Project at a Glance

Along with financial details as under:

 

  •     Assumptions for Profitability workings

  •    Plant Economics

  •    Production Schedule

  •    Land & Building

            Factory Land & Building

            Site Development Expenses

  •    Plant & Machinery

             Indigenous Machineries

            Other Machineries (Miscellaneous, Laboratory etc.)

  •    Other Fixed Assets

            Furniture & Fixtures

            Pre-operative and Preliminary Expenses

            Technical Knowhow

            Provision of Contingencies

  •   Working Capital Requirement Per Month

             Raw Material

            Packing Material

            Lab & ETP Chemical Cost

           Consumable Store

  •   Overheads Required Per Month And Per Annum

         Utilities & Overheads (Power, Water and Fuel Expenses etc.)

             Royalty and Other Charges

            Selling and Distribution Expenses

  •    Salary and Wages

  •    Turnover Per Annum

  •   Share Capital

            Equity Capital

            Preference Share Capital

 

  •    Annexure 1:: Cost of Project and Means of Finance

  •    Annexure 2::  Profitability and Net Cash Accruals

                Revenue/Income/Realisation

                Expenses/Cost of Products/Services/Items

                Gross Profit

                Financial Charges     

                Total Cost of Sales

                Net Profit After Taxes

                Net Cash Accruals

  •   Annexure 3 :: Assessment of Working Capital requirements

                Current Assets

                Gross Working. Capital

                Current Liabilities

                Net Working Capital

                Working Note for Calculation of Work-in-process

  •    Annexure 4 :: Sources and Disposition of Funds

  •    Annexure 5 :: Projected Balance Sheets

                ROI (Average of Fixed Assets)

                RONW (Average of Share Capital)

                ROI (Average of Total Assets)

  •    Annexure 6 :: Profitability ratios

                D.S.C.R

                Earnings Per Share (EPS)

               

             Debt Equity Ratio

        Annexure 7   :: Break-Even Analysis

                Variable Cost & Expenses

                Semi-Var./Semi-Fixed Exp.

                Profit Volume Ratio (PVR)

                Fixed Expenses / Cost 

                B.E.P

  •   Annexure 8 to 11:: Sensitivity Analysis-Price/Volume

            Resultant N.P.B.T

            Resultant D.S.C.R

   Resultant PV Ratio

   Resultant DER

  Resultant ROI

          Resultant BEP

  •    Annexure 12 :: Shareholding Pattern and Stake Status

        Equity Capital

        Preference Share Capital

  •   Annexure 13 :: Quantitative Details-Output/Sales/Stocks

        Determined Capacity P.A of Products/Services

        Achievable Efficiency/Yield % of Products/Services/Items 

        Net Usable Load/Capacity of Products/Services/Items   

       Expected Sales/ Revenue/ Income of Products/ Services/ Items   

  •    Annexure 14 :: Product wise domestic Sales Realisation

  •    Annexure 15 :: Total Raw Material Cost

  •    Annexure 16 :: Raw Material Cost per unit

  •    Annexure 17 :: Total Lab & ETP Chemical Cost

  •    Annexure 18  :: Consumables, Store etc.,

  •    Annexure 19  :: Packing Material Cost

  •    Annexure 20  :: Packing Material Cost Per Unit

  •    Annexure 21 :: Employees Expenses

  •    Annexure 22 :: Fuel Expenses

  •    Annexure 23 :: Power/Electricity Expenses

  •    Annexure 24 :: Royalty & Other Charges

  •    Annexure 25 :: Repairs & Maintenance Exp.

  •    Annexure 26 :: Other Mfg. Expenses

  •    Annexure 27 :: Administration Expenses

  •    Annexure 28 :: Selling Expenses

  •    Annexure 29 :: Depreciation Charges – as per Books (Total)

  •   Annexure 30   :: Depreciation Charges – as per Books (P & M)

  •   Annexure 31   :: Depreciation Charges - As per IT Act WDV (Total)

  •   Annexure 32   :: Depreciation Charges - As per IT Act WDV (P & M)

  •   Annexure 33   :: Interest and Repayment - Term Loans

  •   Annexure 34   :: Tax on Profits

  •   Annexure 35   ::Projected Pay-Back Period And IRR