Machine Learning Global Market Report 2025

Description

Machine learning is a subset of artificial intelligence that revolves around the creation of algorithms enabling computers to learn from data, recognize patterns, and generate predictions or decisions without explicit programming. The core objective is to develop models that enhance their performance over time through exposure to additional information, emphasizing the capacity for autonomous learning and adaptation.

The primary components of machine learning include hardware and software. Hardware tools encompass physical devices and equipment tailored for specific tasks or functions in diverse fields such as construction, manufacturing, or electronics. These tools facilitate the processing of large datasets and complex neural network architectures, thereby improving the performance and scalability of machine learning applications. Machine learning is deployed both in the cloud and on-premises, catering to the needs of large enterprises, small and medium enterprises, and is utilized across various sectors, including healthcare, retail, BFSI (Banking, Financial Services, and Insurance), manufacturing, IT & telecom, energy & utilities, agriculture, automotive, as well as marketing and advertising.

The machine learning market research report is one of a series of new reports from The Business Research Company that provides machine learning market statistics, including machine learning industry global market size, regional shares, competitors with a machine learning market share, detailed machine learning market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning industry. This machine learning 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 machine learning market size has grown exponentially in recent years. It will grow from $68.88 billion in 2024 to $94.35 billion in 2025 at a compound annual growth rate (CAGR) of 37.0%. The growth in the historic period can be attributed to advancements in algorithms, increasing data availability, computing power enhancement, industry adoption and integration, iot and edge computing integration.

The machine learning market size is expected to see exponential growth in the next few years. It will grow to $329.8 billion in 2029 at a compound annual growth rate (CAGR) of 36.7%. The growth in the forecast period can be attributed to explainability and ethical ai concerns, exponential data growth, expansion of edge computing, growing integration of ai and ml, global demand for predictive analytics. Major trends in the forecast period include continued algorithmic innovations, rise of big data technology, automated machine learning (automl), federated learning, integration of ml with other technologies, industry-specific ml solutions.

The increasing adoption of cloud-based platforms is expected to be a driving force behind the growth of the machine learning market. Cloud-based platforms, delivering computing services and resources over the internet, provide users with access to applications, storage, and processing power without the need for physical infrastructure or hardware. These platforms not only facilitate collaboration by allowing multiple users to work on projects simultaneously but also enable seamless integration with other cloud services. According to Ofcom, a UK-based Government office, the UK's cloud infrastructure market was valued between approximately £7.0 billion to £7.5 billion in 2022. Moreover, in 2023, 41.4% of global tech and business leaders are planning to increase their investment in cloud-based services and products, highlighting the significant role of cloud adoption in driving the growth of the machine learning market.

Key players in the machine learning market are directing their efforts toward automated machine learning tools to streamline and automate the machine learning process. These tools aim to automate model selection, training, and deployment, making machine learning more accessible to individuals and organizations with limited expertise in the field. AND Solutions Pte Ltd., a Singapore-based fintech company, exemplifies this trend with the launch of the NIKO AutoML platform in April 2023. NIKO AutoML is an innovative machine-learning tool designed to simplify and expedite the creation of prediction models. The platform offers a user-friendly interface, guiding users through each stage of the process, and provides optimal results in a fraction of the time compared to traditional approaches. Key benefits of NIKO AutoML include fast and accurate model creation, streamlined workflows, increased productivity, and cost-effectiveness.

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, made a strategic move by acquiring Imagimob AB for an undisclosed amount. This acquisition strengthens Infineon Technologies AG's position as a leading machine learning solution provider and significantly expands its portfolio of artificial intelligence (AI) products. Imagimob AB, based in Sweden, specializes in providing a platform for developing machine learning models for edge devices, aligning with the growing trend of edge computing in the machine learning landscape.

Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics

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

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

The machine learning market includes revenues earned by entities by predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems and anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning market consists of sales of graphics processing units (GPUs), application-specific integrated circuits,edge AI processors and others. 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.

Machine 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 machine 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 machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine 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 Component Outlook: Hardware; Software
2) By Deployment: Cloud; On-Premises
3) By Type: Large Enterprises; Small And Medium Enterprise
4) By End-User: Healthcare; Retail; BFSI; Manufacturing; IT And Telecom; Energy And Utilities; Agriculture; Automotive; Marketing And Advertising
Subsegments:
1) By Hardware: Graphics Processing Units (GPUs); Application-Specific Integrated Circuits (ASICs); Field Programmable Gate Arrays (FPGAs); Central Processing Units (CPUs); Memory And Storage Devices
2) By Software: Machine Learning Frameworks And Libraries; Data Processing And Analytics Tools; Model Development Platforms; Deployment And Integration Software; Pre-Built AI Solutions
Companies Mentioned: Google Inc.; Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; SAP SE
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: r28442

1. Executive Summary

2. Machine Learning Market Characteristics

3. Machine Learning Market Trends And Strategies

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

5. Global Machine Learning Growth Analysis And Strategic Analysis Framework

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

6. Machine Learning Market Segmentation

6.1. Global Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Hardware
Software
6.2. Global Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud
On-Premises
6.3. Global Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Large Enterprises
Small And Medium Enterprise
6.4. Global Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Healthcare
Retail
BFSI
Manufacturing
IT And Telecom
Energy And Utilities
Agriculture
Automotive
Marketing And Advertising
6.5. Global Machine Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Graphics Processing Units (GPUs)
Application-Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Central Processing Units (CPUs)
Memory And Storage Devices
6.6. Global Machine Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Machine Learning Frameworks And Libraries
Data Processing And Analytics Tools
Model Development Platforms
Deployment And Integration Software
Pre-Built AI Solutions

7. Machine Learning Market Regional And Country Analysis

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

8. Asia-Pacific Machine Learning Market

8.1. Asia-Pacific Machine 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 Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Market

9.1. China Machine Learning Market Overview
9.2. China Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Market

10.1. India Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Market

11.1. Japan Machine Learning Market Overview
11.2. Japan Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Market

12.1. Australia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Market

13.1. Indonesia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Market

14.1. South Korea Machine Learning Market Overview
14.2. South Korea Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Market

15.1. Western Europe Machine Learning Market Overview
15.2. Western Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Market

16.1. UK Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Market

17.1. Germany Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Market

18.1. France Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Market

19.1. Italy Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Market

20.1. Spain Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Market

21.1. Eastern Europe Machine Learning Market Overview
21.2. Eastern Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Market

22.1. Russia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Market

23.1. North America Machine Learning Market Overview
23.2. North America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Market

24.1. USA Machine Learning Market Overview
24.2. USA Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Market

25.1. Canada Machine Learning Market Overview
25.2. Canada Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Market

26.1. South America Machine Learning Market Overview
26.2. South America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Market

27.1. Brazil Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Market

28.1. Middle East Machine Learning Market Overview
28.2. Middle East Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Market

29.1. Africa Machine Learning Market Overview
29.2. Africa Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Market Competitive Landscape And Company Profiles

30.1. Machine Learning Market Competitive Landscape
30.2. Machine Learning Market Company Profiles
- 30.2.1. Google Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Market Other Major And Innovative Companies

31.1. Hewlett Packard Enterprise Development LP
31.2. Baidu Inc.
31.3. Intel Corporation
31.4. SAS Institute Inc.
31.5. Fair Isaac Corporation
31.6. Alteryx
31.7. Dataiku
31.8. H2o.AI
31.9. KNIME.com AG
31.10. Alpine Data
31.11. Peltarion
31.12. RapidMiner Inc.
31.13. BigML Inc.
31.14. Luminoso Technologies Inc.
31.15. Turing Analytics

32. Global Machine Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Market

34. Recent Developments In The Machine Learning Market

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

35.1 Machine Learning Market In 2029 - Countries Offering Most New Opportunities
35.2 Machine Learning Market In 2029 - Segments Offering Most New Opportunities
35.3 Machine 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