[244 Pages Report] The global AI platform market is anticipated to be valued at US$ 10 Billion in 2022, forecast to grow at a CAGR of 38.2% to be valued at US$ 254.14 Billion by the end of the 2022-2032 forecast period. As of 2021, the market was valued at US$ 9.6 Billion, and is expected to register a Y-o-Y expansion of 4.2% from 2021 to 2022.
Decision making being a key point for service providers and various manufacturers in the market has resulted in the growth of the AI platform market. There has been a boom in the AI platform market as players are now going for the creation of AI platform and targeting niche solutions for solving specific enterprise problems, which has led to its growth.
Report Attribute | Details |
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Base Year Value (2021) | US$ 9.6 Billion |
Expected Market Value (2022) | US$ 10 Billion |
Anticipated Forecast Value (2032) | US$ 254.14 Billion |
Projected Growth Rate (2022 to 2032) | 38.2% CAGR |
AI is the replication of human intelligence processes by machines, particularly computer systems, with the AI platform serving as an interface between humans and machines. The AI platform goes through three processes: learning, which includes acquiring information in order to use it, reasoning, which involves using rules to reach approximate or definite conclusions, and self-correction. Expert systems, which are generally included in the AI category, are one example of a specific application of AI.
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One of the market drivers for the AI platform market is the increased demand for AI-based solutions and products. Another driving force in the AI platform market is the abundance of data available and developed using hardware or other sources.
This allows the AI platform to operate at peak efficiency and produce the best results possible. Furthermore, as technology advances around the world, there is increasing innovation in AI technology, which will lead to the growth of the AI platform market.
The ease of doing work is another factor driving the market for AI platform, as these platform will aid in the development of intelligent business processes.
The major restraint for the AI Platform market is the skill gap that exists in the market, as well as the use of AI platform primarily for popular applications, which leaves other applications underdeveloped.
North America will account for 69% of the total AI platforms revenue pie. The demand for automated machine-driven decisions would aid the growth of the North American artificial intelligence platform market. In July 2020, Zebra Medical Vision announced a partnership with TELUS Ventures to expand the availability of the former's deep learning solutions in North America, as well as to expand AI solutions to clinical care settings and new modalities.
The United States is the most important market for artificial intelligence platform in North America. The United States and Canada hold approximately 27% of all global AI-related patent applications, with IBM holding the most, followed by Microsoft and Google.
Canada is attracting the world's tech titans, who are investing massive sums in the region. The country is currently experiencing an AI boom, with companies such as Microsoft, Facebook, Google, and Huawei, among others, investing heavily in research hubs in Quebec, Ontario, and Alberta. Canada is a world leader in research and home to exceptional AI-driven businesses, and it has played an important role in the advancement of the AI platform market.
The European Union (EU) countries have a growing artificial intelligence industry, which has applications in areas such as social media and marketing. The application of AI technology to successful advertising campaigns across various social media channels is propelling the European AI into Social Media Market. Furthermore, the convergence of artificial intelligence technology with social media for successful advertisements and gaining a competitive advantage is increasing competition in the area.
In September 2019, IBM Watson Health announced a collaboration with Guerbet, a medical imaging company based in France, to create an AI software solution for cancer diagnostics and monitoring. This collaboration builds on their previous work with live cancer diagnostics and monitoring
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As per Future Market Insights, managed services are expected to grow at a noteworthy CAGR by component. The managed service segment is said to be growing faster because there are two deployment modes for AI platform: cloud and on-premises.
Managed service providers handle the complexity of infrastructure management maintenance and support, allowing organizations to fully utilize AI platform-enabled solutions.
The cloud deployment mode is expected to have the largest market share in the deployment mode segment and to grow at the fastest CAGR during the forecast period. Cloud-based solutions provide broad and agile solutions to the AI platform market.
Microsoft Corporation, Google, Amazon Web Services, Infosys, Wipro, Premonition, Rainbird Technologies, Ayasdi, Inc., Mindmeld (Cisco Systems), Facebook, Vital AI, LLC, Kasisto, Receptiviti, Locl Interactive Inc., HPE, Qualcomm Technologies, and Absolutdata are some of the market participants identified across the value chain in the global AI platform market.
Report Attribute | Details |
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Growth Rate | CAGR of 38.2% from 2022 to 2032 |
Market Value in 2022 | US$ 10 Billion |
Market Value in 2032 | US$ 254.14 Billion |
Base Year for Estimation | 2021 |
Historical Data | 2015 to 2020 |
Forecast Period | 2022 to 2032 |
Quantitative Units | Revenue in USD Billion, Volume in Kilotons and CAGR from 2022 to 2032 |
Report Coverage | Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends and Pricing Analysis |
Segments Covered |
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Regions Covered |
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Key Countries Profiled |
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Key Companies Profiled |
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Customization | Available Upon Request |
FMI projects the global AI platform market to expand at a 38.2% value CAGR by 2032
North America is expected to be the most opportunistic AI platform market.
Microsoft Corporation, Google, Amazon Web Services, Infosys, Wipro, Premonition, Rainbird Technologies, Ayasdi, Inc., Mindmeld are some prominent AI platform manufacturers.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. Value Chain Analysis 3.5.1. Profit Margin Analysis 3.5.2. Service Providers 3.6. PESTLE and Porter’s Analysis 3.7. Regulatory Landscape 3.7.1. By Key Regions 3.7.2. By Key Countries 3.8. Regional Parent Market Outlook 4. Global Market Analysis 2017-2021 and Forecast, 2022-2032 4.1. Historical Market Size Value (US$ Mn) Analysis, 2017-2021 4.2. Current and Future Market Size Value (US$ Mn) Projections, 2022-2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Mn) Analysis By Component, 2017-2021 5.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Component, 2022-2032 5.3.1. Tools 5.3.1.1. Machine Learning 5.3.1.2. Natural Language Processing 5.3.2. Services 5.3.2.1. Managed Services 5.3.2.2. Professional Services 5.4. Y-o-Y Growth Trend Analysis By Component, 2017-2021 5.5. Absolute $ Opportunity Analysis By Component, 2022-2032 6. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Deployment Mode 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Mn) Analysis By Deployment Mode, 2017-2021 6.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Deployment Mode, 2022-2032 6.3.1. Cloud 6.3.2. On-premise 6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2017-2021 6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2022-2032 7. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Mn) Analysis By Application, 2017-2021 7.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By Application, 2022-2032 7.3.1. Forecasts and Prescriptive Models 7.3.2. Chatbots 7.3.3. Speech Recognition 7.3.4. Text Recognition 7.3.5. Other Applications 7.4. Y-o-Y Growth Trend Analysis By Application, 2017-2021 7.5. Absolute $ Opportunity Analysis By Application, 2022-2032 8. Global Market Analysis 2017-2021 and Forecast 2022-2032, By End-User 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Mn) Analysis By End-User, 2017-2021 8.3. Current and Future Market Size Value (US$ Mn) Analysis and Forecast By End-User, 2022-2032 8.3.1. Manufacturing 8.3.2. Healthcare 8.3.3. BFSI 8.3.4. Education 8.3.5. Transportation 8.3.6. Retail and e-Commerce 8.3.7. Robotics 8.3.8. Others 8.4. Y-o-Y Growth Trend Analysis By End-User, 2017-2021 8.5. Absolute $ Opportunity Analysis By End-User, 2022-2032 9. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Mn) Analysis By Region, 2017-2021 9.3. Current Market Size Value (US$ Mn) Analysis and Forecast By Region, 2022-2032 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. Asia Pacific 9.3.5. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2017-2021 and Forecast 2022-2032, By Country 10.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 10.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 10.2.1. By Country 10.2.1.1. U.S. 10.2.1.2. Canada 10.2.2. By Component 10.2.3. By Deployment Mode 10.2.4. By Application 10.2.5. By End-User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Deployment Mode 10.3.4. By Application 10.3.5. By End-User 10.4. Key Takeaways 11. Latin America Market Analysis 2017-2021 and Forecast 2022-2032, By Country 11.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 11.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Component 11.2.3. By Deployment Mode 11.2.4. By Application 11.2.5. By End-User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Deployment Mode 11.3.4. By Application 11.3.5. By End-User 11.4. Key Takeaways 12. Europe Market Analysis 2017-2021 and Forecast 2022-2032, By Country 12.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 12.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. U.K. 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Russia 12.2.1.7. Rest of Europe 12.2.2. By Component 12.2.3. By Deployment Mode 12.2.4. By Application 12.2.5. By End-User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Deployment Mode 12.3.4. By Application 12.3.5. By End-User 12.4. Key Takeaways 13. Asia Pacific Market Analysis 2017-2021 and Forecast 2022-2032, By Country 13.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 13.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 13.2.1. By Country 13.2.1.1. China 13.2.1.2. Japan 13.2.1.3. India 13.2.1.4. South Korea 13.2.1.5. Australia 13.2.1.6. Rest of APAC 13.2.2. By Component 13.2.3. By Deployment Mode 13.2.4. By Application 13.2.5. By End-User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Deployment Mode 13.3.4. By Application 13.3.5. By End-User 13.4. Key Takeaways 14. MEA Market Analysis 2017-2021 and Forecast 2022-2032, By Country 14.1. Historical Market Size Value (US$ Mn) Trend Analysis By Market Taxonomy, 2017-2021 14.2. Market Size Value (US$ Mn) Forecast By Market Taxonomy, 2022-2032 14.2.1. By Country 14.2.1.1. South Africa 14.2.1.2. Saudi Arabia 14.2.1.3. UAE 14.2.1.4. Israel 14.2.1.5. Rest of MEA 14.2.2. By Component 14.2.3. By Deployment Mode 14.2.4. By Application 14.2.5. By End-User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Deployment Mode 14.3.4. By Application 14.3.5. By End-User 14.4. Key Takeaways 15. Key Countries Market Analysis 15.1. U.S. 15.1.1. Pricing Analysis 15.1.2. Market Share Analysis, 2021 15.1.2.1. By Component 15.1.2.2. By Deployment Mode 15.1.2.3. By Application 15.1.2.4. By End-User 15.2. Canada 15.2.1. Pricing Analysis 15.2.2. Market Share Analysis, 2021 15.2.2.1. By Component 15.2.2.2. By Deployment Mode 15.2.2.3. By Application 15.2.2.4. By End-User 15.3. Brazil 15.3.1. Pricing Analysis 15.3.2. Market Share Analysis, 2021 15.3.2.1. By Component 15.3.2.2. By Deployment Mode 15.3.2.3. By Application 15.3.2.4. By End-User 15.4. Mexico 15.4.1. Pricing Analysis 15.4.2. Market Share Analysis, 2021 15.4.2.1. By Component 15.4.2.2. By Deployment Mode 15.4.2.3. By Application 15.4.2.4. By End-User 15.5. Germany 15.5.1. Pricing Analysis 15.5.2. Market Share Analysis, 2021 15.5.2.1. By Component 15.5.2.2. By Deployment Mode 15.5.2.3. By Application 15.5.2.4. By End-User 15.6. U.K. 15.6.1. Pricing Analysis 15.6.2. Market Share Analysis, 2021 15.6.2.1. By Component 15.6.2.2. By Deployment Mode 15.6.2.3. By Application 15.6.2.4. By End-User 15.7. France 15.7.1. Pricing Analysis 15.7.2. Market Share Analysis, 2021 15.7.2.1. By Component 15.7.2.2. By Deployment Mode 15.7.2.3. By Application 15.7.2.4. By End-User 15.8. Spain 15.8.1. Pricing Analysis 15.8.2. Market Share Analysis, 2021 15.8.2.1. By Component 15.8.2.2. By Deployment Mode 15.8.2.3. By Application 15.8.2.4. By End-User 15.9. Italy 15.9.1. Pricing Analysis 15.9.2. Market Share Analysis, 2021 15.9.2.1. By Component 15.9.2.2. By Deployment Mode 15.9.2.3. By Application 15.9.2.4. By End-User 15.10. Russia 15.10.1. Pricing Analysis 15.10.2. Market Share Analysis, 2021 15.10.2.1. By Component 15.10.2.2. By Deployment Mode 15.10.2.3. By Application 15.10.2.4. By End-User 15.11. China 15.11.1. Pricing Analysis 15.11.2. Market Share Analysis, 2021 15.11.2.1. By Component 15.11.2.2. By Deployment Mode 15.11.2.3. By Application 15.11.2.4. By End-User 15.12. Japan 15.12.1. Pricing Analysis 15.12.2. Market Share Analysis, 2021 15.12.2.1. By Component 15.12.2.2. By Deployment Mode 15.12.2.3. By Application 15.12.2.4. By End-User 15.13. India 15.13.1. Pricing Analysis 15.13.2. Market Share Analysis, 2021 15.13.2.1. By Component 15.13.2.2. By Deployment Mode 15.13.2.3. By Application 15.13.2.4. By End-User 15.14. South Korea 15.14.1. Pricing Analysis 15.14.2. Market Share Analysis, 2021 15.14.2.1. By Component 15.14.2.2. By Deployment Mode 15.14.2.3. By Application 15.14.2.4. By End-User 15.15. Australia 15.15.1. Pricing Analysis 15.15.2. Market Share Analysis, 2021 15.15.2.1. By Component 15.15.2.2. By Deployment Mode 15.15.2.3. By Application 15.15.2.4. By End-User 15.16. South Africa 15.16.1. Pricing Analysis 15.16.2. Market Share Analysis, 2021 15.16.2.1. By Component 15.16.2.2. By Deployment Mode 15.16.2.3. By Application 15.16.2.4. By End-User 15.17. Saudi Arabia 15.17.1. Pricing Analysis 15.17.2. Market Share Analysis, 2021 15.17.2.1. By Component 15.17.2.2. By Deployment Mode 15.17.2.3. By Application 15.17.2.4. By End-User 15.18. UAE 15.18.1. Pricing Analysis 15.18.2. Market Share Analysis, 2021 15.18.2.1. By Component 15.18.2.2. By Deployment Mode 15.18.2.3. By Application 15.18.2.4. By End-User 15.19. Israel 15.19.1. Pricing Analysis 15.19.2. Market Share Analysis, 2021 15.19.2.1. By Component 15.19.2.2. By Deployment Mode 15.19.2.3. By Application 15.19.2.4. By End-User 16. Market Structure Analysis 16.1. Competition Dashboard 16.2. Competition Benchmarking 16.3. Market Share Analysis of Top Players 16.3.1. By Regional 16.3.2. By Component 16.3.3. By Deployment Mode 16.3.4. By Application 16.3.5. By End-User 17. Competition Analysis 17.1. Competition Deep Dive 17.1.1. Microsoft Corporation 17.1.1.1. Overview 17.1.1.2. Product Portfolio 17.1.1.3. Profitability by Market Segments 17.1.1.4. Sales Footprint 17.1.1.5. Strategy Overview 17.1.1.5.1. Marketing Strategy 17.1.1.5.2. Product Strategy 17.1.1.5.3. Channel Strategy 17.1.2. Google 17.1.2.1. Overview 17.1.2.2. Product Portfolio 17.1.2.3. Profitability by Market Segments 17.1.2.4. Sales Footprint 17.1.2.5. Strategy Overview 17.1.2.5.1. Marketing Strategy 17.1.2.5.2. Product Strategy 17.1.2.5.3. Channel Strategy 17.1.3. Amazon Web Services 17.1.3.1. Overview 17.1.3.2. Product Portfolio 17.1.3.3. Profitability by Market Segments 17.1.3.4. Sales Footprint 17.1.3.5. Strategy Overview 17.1.3.5.1. Marketing Strategy 17.1.3.5.2. Product Strategy 17.1.3.5.3. Channel Strategy 17.1.4. Infosys 17.1.4.1. Overview 17.1.4.2. Product Portfolio 17.1.4.3. Profitability by Market Segments 17.1.4.4. Sales Footprint 17.1.4.5. Strategy Overview 17.1.4.5.1. Marketing Strategy 17.1.4.5.2. Product Strategy 17.1.4.5.3. Channel Strategy 17.1.5. Wipro 17.1.5.1. Overview 17.1.5.2. Product Portfolio 17.1.5.3. Profitability by Market Segments 17.1.5.4. Sales Footprint 17.1.5.5. Strategy Overview 17.1.5.5.1. Marketing Strategy 17.1.5.5.2. Product Strategy 17.1.5.5.3. Channel Strategy 17.1.6. Premonition 17.1.6.1. Overview 17.1.6.2. Product Portfolio 17.1.6.3. Profitability by Market Segments 17.1.6.4. Sales Footprint 17.1.6.5. Strategy Overview 17.1.6.5.1. Marketing Strategy 17.1.6.5.2. Product Strategy 17.1.6.5.3. Channel Strategy 17.1.7. Rainbird Technologies 17.1.7.1. Overview 17.1.7.2. Product Portfolio 17.1.7.3. Profitability by Market Segments 17.1.7.4. Sales Footprint 17.1.7.5. Strategy Overview 17.1.7.5.1. Marketing Strategy 17.1.7.5.2. Product Strategy 17.1.7.5.3. Channel Strategy 17.1.8. Ayasdi, Inc. 17.1.8.1. Overview 17.1.8.2. Product Portfolio 17.1.8.3. Profitability by Market Segments 17.1.8.4. Sales Footprint 17.1.8.5. Strategy Overview 17.1.8.5.1. Marketing Strategy 17.1.8.5.2. Product Strategy 17.1.8.5.3. Channel Strategy 17.1.9. Cisco Systems 17.1.9.1. Overview 17.1.9.2. Product Portfolio 17.1.9.3. Profitability by Market Segments 17.1.9.4. Sales Footprint 17.1.9.5. Strategy Overview 17.1.9.5.1. Marketing Strategy 17.1.9.5.2. Product Strategy 17.1.9.5.3. Channel Strategy 17.1.10. Facebook 17.1.10.1. Overview 17.1.10.2. Product Portfolio 17.1.10.3. Profitability by Market Segments 17.1.10.4. Sales Footprint 17.1.10.5. Strategy Overview 17.1.10.5.1. Marketing Strategy 17.1.10.5.2. Product Strategy 17.1.10.5.3. Channel Strategy 17.1.11. Vital AI, LLC 17.1.11.1. Overview 17.1.11.2. Product Portfolio 17.1.11.3. Profitability by Market Segments 17.1.11.4. Sales Footprint 17.1.11.5. Strategy Overview 17.1.11.5.1. Marketing Strategy 17.1.11.5.2. Product Strategy 17.1.11.5.3. Channel Strategy 17.1.12. Kasisto 17.1.12.1. Overview 17.1.12.2. Product Portfolio 17.1.12.3. Profitability by Market Segments 17.1.12.4. Sales Footprint 17.1.12.5. Strategy Overview 17.1.12.5.1. Marketing Strategy 17.1.12.5.2. Product Strategy 17.1.12.5.3. Channel Strategy 17.1.13. Receptiviti 17.1.13.1. Overview 17.1.13.2. Product Portfolio 17.1.13.3. Profitability by Market Segments 17.1.13.4. Sales Footprint 17.1.13.5. Strategy Overview 17.1.13.5.1. Marketing Strategy 17.1.13.5.2. Product Strategy 17.1.13.5.3. Channel Strategy 17.1.14. Locl Interactive Inc. 17.1.14.1. Overview 17.1.14.2. Product Portfolio 17.1.14.3. Profitability by Market Segments 17.1.14.4. Sales Footprint 17.1.14.5. Strategy Overview 17.1.14.5.1. Marketing Strategy 17.1.14.5.2. Product Strategy 17.1.14.5.3. Channel Strategy 17.1.15. HPE 17.1.15.1. Overview 17.1.15.2. Product Portfolio 17.1.15.3. Profitability by Market Segments 17.1.15.4. Sales Footprint 17.1.15.5. Strategy Overview 17.1.15.5.1. Marketing Strategy 17.1.15.5.2. Product Strategy 17.1.15.5.3. Channel Strategy 17.1.16. Qualcomm Technologies 17.1.16.1. Overview 17.1.16.2. Product Portfolio 17.1.16.3. Profitability by Market Segments 17.1.16.4. Sales Footprint 17.1.16.5. Strategy Overview 17.1.16.5.1. Marketing Strategy 17.1.16.5.2. Product Strategy 17.1.16.5.3. Channel Strategy 17.1.17. Absolutdata 17.1.17.1. Overview 17.1.17.2. Product Portfolio 17.1.17.3. Profitability by Market Segments 17.1.17.4. Sales Footprint 17.1.17.5. Strategy Overview 17.1.17.5.1. Marketing Strategy 17.1.17.5.2. Product Strategy 17.1.17.5.3. Channel Strategy 17.1.18. Salesforce 17.1.18.1. Overview 17.1.18.2. Product Portfolio 17.1.18.3. Profitability by Market Segments 17.1.18.4. Sales Footprint 17.1.18.5. Strategy Overview 17.1.18.5.1. Marketing Strategy 17.1.18.5.2. Product Strategy 17.1.18.5.3. Channel Strategy 17.1.19. IBM 17.1.19.1. Overview 17.1.19.2. Product Portfolio 17.1.19.3. Profitability by Market Segments 17.1.19.4. Sales Footprint 17.1.19.5. Strategy Overview 17.1.19.5.1. Marketing Strategy 17.1.19.5.2. Product Strategy 17.1.19.5.3. Channel Strategy 17.1.20. Intel 17.1.20.1. Overview 17.1.20.2. Product Portfolio 17.1.20.3. Profitability by Market Segments 17.1.20.4. Sales Footprint 17.1.20.5. Strategy Overview 17.1.20.5.1. Marketing Strategy 17.1.20.5.2. Product Strategy 17.1.20.5.3. Channel Strategy 18. Assumptions & Acronyms Used 19. Research Methodology
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