NLP in Finance Global Market Report 2024

Description

Natural Language Processing (NLP) in Finance refers to the utilization of language understanding and processing techniques within the financial domain. This involves leveraging computational algorithms to analyze, interpret, and extract insights from textual data in the financial sector. NLP in finance enables the automation of tasks such as information extraction, sentiment analysis, and language translation, contributing to more efficient and informed decision-making processes within the financial industry.

The primary offerings in the realm of NLP in finance consist of services and software. Services can be defined as acts or utilities for which consumers, firms, or governments are willing to pay. Various technologies are employed in NLP applications, including machine learning, deep learning, natural language generation, text classification, topic modeling, emotion detection, and other related technologies. These technologies find applications across various verticals, including banking, insurance, financial services, and other enterprise sectors. The integration of NLP technologies in finance facilitates advanced analysis and decision-making processes by extracting valuable insights from textual data.

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

The nlp in finance market size has grown exponentially in recent years. It will grow from $5.34 billion in 2023 to $6.65 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%. The growth observed in the historical period can be attributed to several factors, including the rise in content creation, evolution in artificial intelligence (AI) and deep learning technologies, acceleration in the deployment of large language models (LLMs), and the enhanced customer experiences facilitated by these advancements. Additionally, the application of sentiment analysis in the finance industry has played a significant role in leveraging natural language processing (NLP) to gain insights from textual data, contributing to informed decision-making and improved customer engagement.

The nlp in finance market size is expected to see exponential growth in the next few years. It will grow to $16.14 billion in 2028 at a compound annual growth rate (CAGR) of 24.8%. The anticipated growth in the forecast period can be attributed to several factors, including the increasing adoption of artificial intelligence (AI), a growing demand for automated and efficient financial services, the emergence of AI and machine learning (ML) models in the financial domain, heightened focus on data extraction and analysis, and the increasing emphasis on fraud detection and security measures. Major trends expected in this period include the innovation of cloud storage solutions, continuous product innovations within the NLP in finance sector, ongoing technological advancements, and a rise in collaborations among industry players to drive further advancements in natural language processing applications within the financial domain.

The increasing adoption of Artificial Intelligence (AI) is poised to drive the growth of the Natural Language Processing (NLP) in the finance market. AI, which involves replicating human intelligence in machines, is becoming integral to various industries, including finance. AI-powered NLP plays a crucial role in financial institutions by enabling them to extract valuable insights from extensive textual data sources such as news articles, financial reports, and social media content. This facilitates efficient analysis and empowers financial professionals to make informed decisions. According to the Government Digital Service in January 2022, the adoption rate of AI rose to 22.7% in 2025 from 15.1% in 2020, with 267,000 more companies implementing AI in their daily operations. This increasing adoption of AI is a key driver propelling the growth of the NLP in the finance market.

Leading companies in the NLP in the finance market are actively developing innovative technologies, including leveraging AI technologies to enhance customer service with advanced features. AI technology, designed to enable computer systems to perform tasks that typically require human intelligence, is being harnessed to transform the financial services landscape. In May 2023, HSBC, a UK-based banking and financial services company, launched AI Markets, a digital service utilizing purpose-built NLP to enhance institutional investors' engagement with international markets. The proprietary NLP engine within AI Markets enables users to create personalized financial market analytics, access up-to-the-minute and historical cross-asset data sets from HSBC, and explore the latest market insights through simple commands.

In March 2023, Microsoft Corporation, a US-based technology corporation, acquired Nuance Communications Inc. for $19.7 billion. This acquisition presents opportunities to integrate Nuance's advanced NLP and speech recognition capabilities into various financial services, potentially enhancing customer experiences, security measures, data analysis, and overall innovation within the finance market. Nuance Communications Inc. is a US-based computer software technology corporation specializing in AI applications in the field of financial services.

Major companies operating in the nlp in finance market report are Google LLC, Microsoft Corporation, Amazon Web Services Inc., IBM Corporation, Oracle Corporation, Mosaic, Baidu, SAS Institute, Qualtrics, LivePerson, NuanceCommunications, Veritone, Basis Technology, Uniphore, Expert.ai, Bitext, ABBYY, Automated Insights, Conversica, Skit.ai, Kensho, Kasisto, Inbenta, Observe.Al, Addepto, Accern

North America was the largest region in the nlp in finance market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the nlp in finance market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The NLP in finance market includes revenues earned by entities by dataset analyzing, recognizing trends, customer interaction analyzing. 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 NLP in finance market consists of sales of central processing units (CPUs), graphics processing units (GPUs), and application-specific integrated circuits (ASICs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

NLP in Finance Global Market Report 2024 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 nlp in finance 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.

Reasons to Purchase

Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
Measure the impact of high global inflation on market growth.
Create regional and country strategies on the basis of local data and analysis.
Identify growth segments for investment.
Outperform competitors using forecast data and the drivers and trends shaping the market.
Understand customers based on the latest market shares.
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Where is the largest and fastest growing market for nlp in finance ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The nlp in finance 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

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 Offering: Services; Software
2) By Technology: Machine learning; Deep learning; Natural language generation; Text classification; Topic modeling; Emotion detection; Other Technologies
3) By Vertical: Banking; Insurance; Financial services; Other Enterprise Verticals
Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; IBM Corporation; Oracle 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: r16507

1. Executive Summary

2. NLP in Finance Market Characteristics

3. NLP in Finance Market Trends And Strategies

4. NLP in Finance Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global NLP in Finance Market Size and Growth

5.1. Global NLP in Finance Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global NLP in Finance Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global NLP in Finance Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. NLP in Finance Market Segmentation

6.1. Global NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Services
Software
6.2. Global NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Machine learning
Deep learning
Natural language generation
Text classification
Topic modeling
Emotion detection
Other Technologies
6.3. Global NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Banking
Insurance
Financial services
Other Enterprise Verticals

7. NLP in Finance Market Regional And Country Analysis

7.1. Global NLP in Finance Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global NLP in Finance Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific NLP in Finance Market

8.1. Asia-Pacific NLP in Finance Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China NLP in Finance Market

9.1. China NLP in Finance Market Overview
9.2. China NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India NLP in Finance Market

10.1. India NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan NLP in Finance Market

11.1. Japan NLP in Finance Market Overview
11.2. Japan NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia NLP in Finance Market

12.1. Australia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia NLP in Finance Market

13.1. Indonesia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea NLP in Finance Market

14.1. South Korea NLP in Finance Market Overview
14.2. South Korea NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe NLP in Finance Market

15.1. Western Europe NLP in Finance Market Overview
15.2. Western Europe NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK NLP in Finance Market

16.1. UK NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany NLP in Finance Market

17.1. Germany NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France NLP in Finance Market

18.1. France NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy NLP in Finance Market

19.1. Italy NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain NLP in Finance Market

20.1. Spain NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe NLP in Finance Market

21.1. Eastern Europe NLP in Finance Market Overview
21.2. Eastern Europe NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia NLP in Finance Market

22.1. Russia NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America NLP in Finance Market

23.1. North America NLP in Finance Market Overview
23.2. North America NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA NLP in Finance Market

24.1. USA NLP in Finance Market Overview
24.2. USA NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada NLP in Finance Market

25.1. Canada NLP in Finance Market Overview
25.2. Canada NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America NLP in Finance Market

26.1. South America NLP in Finance Market Overview
26.2. South America NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil NLP in Finance Market

27.1. Brazil NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East NLP in Finance Market

28.1. Middle East NLP in Finance Market Overview
28.2. Middle East NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa NLP in Finance Market

29.1. Africa NLP in Finance Market Overview
29.2. Africa NLP in Finance Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa NLP in Finance Market, Segmentation By Technology, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa NLP in Finance Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. NLP in Finance Market Competitive Landscape And Company Profiles

30.1. NLP in Finance Market Competitive Landscape
30.2. NLP in Finance Market Company Profiles
- 30.2.1. Google LLC
  - 30.2.1.1. Overview
  - 30.2.1.2. Products and Services
  - 30.2.1.3. Strategy
  - 30.2.1.4. Financial Performance
- 30.2.2. Microsoft Corporation
  - 30.2.2.1. Overview
  - 30.2.2.2. Products and Services
  - 30.2.2.3. Strategy
  - 30.2.2.4. Financial Performance
- 30.2.3. Amazon Web Services Inc.
  - 30.2.3.1. Overview
  - 30.2.3.2. Products and Services
  - 30.2.3.3. Strategy
  - 30.2.3.4. Financial Performance
- 30.2.4. IBM Corporation
  - 30.2.4.1. Overview
  - 30.2.4.2. Products and Services
  - 30.2.4.3. Strategy
  - 30.2.4.4. Financial Performance
- 30.2.5. Oracle Corporation
  - 30.2.5.1. Overview
  - 30.2.5.2. Products and Services
  - 30.2.5.3. Strategy
  - 30.2.5.4. Financial Performance

31. NLP in Finance Market Other Major And Innovative Companies

31.1. Mosaic
31.2. Baidu
31.3. SAS Institute
31.4. Qualtrics
31.5. LivePerson
31.6. Nuance Communications
31.7. Veritone
31.8. Basis Technology
31.9. Uniphore
31.10. Expert.ai
31.11. Bitext
31.12. ABBYY
31.13. Automated Insights
31.14. Conversica
31.15. Skit.ai

32. Global NLP in Finance Market Competitive Benchmarking

33. Global NLP in Finance Market Competitive Dashboard

34. Key Mergers And Acquisitions In The NLP in Finance Market

35. NLP in Finance Market Future Outlook and Potential Analysis

35.1 NLP in Finance Market In 2028 - Countries Offering Most New Opportunities
35.2 NLP in Finance Market In 2028 - Segments Offering Most New Opportunities
35.3 NLP in Finance Market In 2028 - 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