Deep Learning Global Market Report 2025

Description

Deep learning refers to a system with a collection of machine learning algorithms that models high-level abstractions in data through an architecture consisting of multiple non-linear transformations, carries out engineering activities on their own, processes a huge volume of unstructured data, and offers precise results compared to traditional machine learning. Deep

The main type of products in deep learning includes hardware, software, and services. Deep learning hardware refers to devices that are used to implement architectures and learning algorithms, particularly those that take advantage of artificial neural networks. They are in the development and implementation of image recognition, signal recognition, and data mining activities. The deep learning solutions are used in industries ranging from BFSI, automotive, telecom and media, retail, manufacturing, healthcare, and other end, users.

The deep learning market research report is one of a series of new reports from The Business Research Company that provides deep learning market statistics, including deep learning industry global market size, regional shares, competitors with a deep learning market share, detailed deep learning market segments, market trends and opportunities, and any further data you may need to thrive in the deep learning industry. This deep learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The deep learning market size has grown exponentially in recent years. It will grow from $24.71 billion in 2024 to $34.29 billion in 2025 at a compound annual growth rate (CAGR) of 38.8%. The growth in the historic period can be attributed to global investments and funding, adoption in autonomous systems, focus on explain ability and interpretability, emergence of generative models, growth of edge computing.

The deep learning market size is expected to see exponential growth in the next few years. It will grow to $144.64 billion in 2029 at a compound annual growth rate (CAGR) of 43.3%. The growth in the forecast period can be attributed to global economic and geopolitical factors, security and robustness improvements, hybrid and federated learning approaches, expansion into new industry verticals, increasing adoption in healthcare. Major trends in the forecast period include augmentation of human abilities, quantum computing for deep learning, cross-industry collaborations and open source contributions, hybrid cloud and multi-cloud deployments, enhanced computer vision applications, responsible ai and ethical considerations.

Increasing adoption of cloud-based services is significantly contributing to the growth of the deep learning market. Cloud-based services have advanced significantly, to the point that they can now provide enterprises with the ability to run their whole business through their cloud-based platforms. As a result, businesses are increasingly convinced that transferring their tasks from on-premises to cloud-based frameworks. For instance, according to a report by Harvard Business Review Analytic Services on cloud computing, over 74% of organizations believe that cloud computing gives them a competitive advantage over their competitors. Therefore, the increasing adoption of cloud-based services is expected to increase the demand for the deep learning market during the forecast period.

Growing demand for autonomous vehicles is expected to propel the growth of the deep learning market. An autonomous vehicle is a vehicle that operates or drives automatically when the autonomous technology is turned on. Deep learning algorithms, with their ability to process vast amounts of data and adapt to complex environments, are crucial in enabling self-driving cars to perceive their surroundings, recognize objects, and make split-second decisions, ultimately accelerating the development and adoption of autonomous vehicles. For instance, according to McKinsey, a US-based management consultancy firm, autonomous driving might generate $300 billion to $400 billion in income by 2035. Therefore, the growing demand for autonomous vehicles is driving the growth of the drive-by-wire market.

Product innovation is a prominent trend gaining traction in the cloud migration services market. Leading companies in this sector are focusing on developing new product innovations to bolster their market positions. For instance, in 2022, DXC Technology unveiled significant advancements in cloud services, particularly with its "pay-per-use" cloud consumption model. This service was designed to meet customers' evolving demands for flexible and scalable cloud solutions, enabling businesses to pay for cloud resources based on actual usage, akin to a utility billing system. DXC's Cloud Right(TM) strategy has been crucial in assisting large enterprises with modernization, emphasizing the optimization of cloud architectures and IT environments while minimizing risks and enhancing performance.

Major companies in the cloud migration services market are developing innovative technological products, such as the AWS Application Migration Service, to enhance their profitability. This service automates the conversion of source servers to operate natively on AWS, reducing time-consuming and error-prone manual processes. For example, in October 2022, Amazon Web Services, Inc., a US-based cloud computing company, improved its AWS Application Migration Service (MGN) by adding several new features. These updates aim to simplify large-scale migrations by introducing functionalities like Global View, which enables administrators to manage migrations across multiple AWS accounts, thereby enhancing visibility.

In March 2022, Microsoft Corporation, a US-based multi-national technology corporation acquired Nuance for an undisclosed amount. Through this acquisition, Microsoft aims to assist healthcare providers in providing more inexpensive, effective, and accessible treatment, as well as businesses in many industries in creating more personalized and engaging customer experiences. Cloud-based AI solutions from Microsoft and Nuance are focused on assisting enterprises to achieve their business goals. Nuance Communications, Inc., is a US-based provider of deep learning solutions.

Major companies operating in the deep learning market include Amazon Web Services Inc., Google LLC, IBM Corporation, Intel Corporation, NVIDIA Corporation, Advanced Micro Devices Inc., Cerebras Systems Inc., Mythic, Sensory Inc., H2O. ai, KNIME (Konstanz Information Miner), Dataiku, Databricks Inc., Veritone Inc., DataRobot Inc., SoundHound AI, Unity Technologies, Interactions LLC, Heartflow Inc., Imandra Inc., MindsDB SF AI Learning, Neteera Technologies, Clarifai Inc., Orbital Insight, CHARM Therapeutics, NoTraffic U. S. Inc.

North America was the largest region in the deep learning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the deep learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the deep learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The deep learning market includes revenues earned by entities by mimicking the human mind to perform tasks that only humans are capable of doing by using artificial intelligence and advanced robots. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Deep Learning Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on deep learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for deep learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The deep learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Product: Hardware; Software; Services
2) By Application: Image Recognition; Signal Recognition; Data Mining
3) By End User: BFSI; Automotive; Telecom and Media; Retail; Manufacturing; Healthcare; Other End Users
Subsegments:
1) By Hardware: GPUs (Graphics Processing Units); TPUs (Tensor Processing Units); ASICs (Application-Specific Integrated Circuits); Edge Devices
2) By Software: Deep Learning Frameworks; Model Training And Development Tools; Data Management And Preprocessing Tools; Deployment And Monitoring Software
3) By Services: Consulting Services; Training And Education Services; Managed Services; Support And Maintenance Services
Companies Mentioned: Amazon Web Services Inc.; Google LLC; IBM Corporation; Intel Corporation; NVIDIA Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r21347

1. Executive Summary

2. Deep Learning Market Characteristics

3. Deep Learning Market Trends And Strategies

4. Deep Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Deep Learning Growth Analysis And Strategic Analysis Framework

5.1. Global Deep Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Deep Learning Market Growth Rate Analysis
5.4. Global Deep Learning Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Deep Learning Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Deep Learning Total Addressable Market (TAM)

6. Deep Learning Market Segmentation

6.1. Global Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Hardware
Software
Servic
6.2. Global Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Image Recognition
Signal Recognition
Data Mining
6.3. Global Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
BFSI
Automotive
Telecom and Media
Retail
Manufacturing
Healthcare
Other End Users
6.4. Global Deep Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
GPUs (Graphics Processing Units)
TPUs (Tensor Processing Units)
ASICs (Application-Specific Integrated Circuits)
Edge Devices
6.5. Global Deep Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Deep Learning Frameworks
Model Training And Development Tools
Data Management And Preprocessing Tools
Deployment And Monitoring Software
6.6. Global Deep Learning Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consulting Services
Training And Education Services
Managed Services
Support And Maintenance Services

7. Deep Learning Market Regional And Country Analysis

7.1. Global Deep Learning Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Deep Learning Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Deep Learning Market

8.1. Asia-Pacific Deep Learning Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Deep Learning Market

9.1. China Deep Learning Market Overview
9.2. China Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Deep Learning Market

10.1. India Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Deep Learning Market

11.1. Japan Deep Learning Market Overview
11.2. Japan Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Deep Learning Market

12.1. Australia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Deep Learning Market

13.1. Indonesia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Deep Learning Market

14.1. South Korea Deep Learning Market Overview
14.2. South Korea Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Deep Learning Market

15.1. Western Europe Deep Learning Market Overview
15.2. Western Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Deep Learning Market

16.1. UK Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Deep Learning Market

17.1. Germany Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Deep Learning Market

18.1. France Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Deep Learning Market

19.1. Italy Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Deep Learning Market

20.1. Spain Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Deep Learning Market

21.1. Eastern Europe Deep Learning Market Overview
21.2. Eastern Europe Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Deep Learning Market

22.1. Russia Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Deep Learning Market

23.1. North America Deep Learning Market Overview
23.2. North America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Deep Learning Market

24.1. USA Deep Learning Market Overview
24.2. USA Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Deep Learning Market

25.1. Canada Deep Learning Market Overview
25.2. Canada Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Deep Learning Market

26.1. South America Deep Learning Market Overview
26.2. South America Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Deep Learning Market

27.1. Brazil Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Deep Learning Market

28.1. Middle East Deep Learning Market Overview
28.2. Middle East Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Deep Learning Market

29.1. Africa Deep Learning Market Overview
29.2. Africa Deep Learning Market, Segmentation By Product, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Deep Learning Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Deep Learning Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Deep Learning Market Competitive Landscape And Company Profiles

30.1. Deep Learning Market Competitive Landscape
30.2. Deep Learning Market Company Profiles
- 30.2.1. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. IBM Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Deep Learning Market Other Major And Innovative Companies

31.1. Advanced Micro Devices Inc.
31.2. Cerebras Systems Inc.
31.3. Mythic
31.4. Sensory Inc.
31.5. H2O. ai
31.6. KNIME (Konstanz Information Miner)
31.7. Dataiku
31.8. Databricks Inc.
31.9. Veritone Inc.
31.10. DataRobot Inc.
31.11. SoundHound AI
31.12. Unity Technologies
31.13. Interactions LLC
31.14. Heartflow Inc.
31.15. Imandra Inc.

32. Global Deep Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Deep Learning Market

34. Recent Developments In The Deep Learning Market

35. Deep Learning Market High Potential Countries, Segments and Strategies

35.1 Deep Learning Market In 2029 - Countries Offering Most New Opportunities
35.2 Deep Learning Market In 2029 - Segments Offering Most New Opportunities
35.3 Deep Learning Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer