Global AI builder sales revenue is estimated to reach US$ 5.1 billion in 2023. The market is likely to surpass US$ 20.1 billion by 2033. From 2023 to 2033, global AI builder demand is forecast to surge at an impressive CAGR of 31.1%.
From once a science fiction to now a reality, the role of artificial intelligence (AI) is rapidly rising in the modern tech-driven world. It is becoming an indispensable part of our everyday experiences.
Artificial intelligence plays a key role in delivering intelligent assistance during interaction with technology. This revolutionary technology has the potential to allow businesses to automate their processes, make better decisions, and improve efficiency.
A power platform capability that delivers AI models designed to optimize business processes is known as an AI builder. Adoption of AI builder allows businesses to use intelligence to automate processes and get insights from their data in Power Automate and Power Apps.
AI builder platforms provide a low-code user experience for developers to develop and customize their Flows and Power Apps. Thanks to AI builders, introducing artificial intelligence into projects without requiring coding experts has become possible.
Growing adoption of AI builder solutions across various industries to speed up processes, improve performance, and predict outcomes through AI insights is expected to boost the global market.
In recent years, there has been a dramatic increase in adoption of AI technologies globally. For instance, as per IBM’s reports, in 2022, global AI adoption rate increased by 35%. Around 35% of companies today are using AI while 42% of companies are exploring AI. This will boost sales in the global AI builder industry.
AI builder solutions are being used by businesses for optimizing and automating business processes. They eliminate the need for coding or data science skills by bringing the power of AI through a point-and-check experience.
The market growth is being propelled by rising penetration of digitalization and an increasing focus on workflow automation.
The adoption of AI builders for workflow automation is increasing as businesses are looking for ways to streamline their processes and improve productivity. AI builders can help automate processes that are repetitive and time-consuming, allowing employees to focus on more strategic tasks.
AI helps in identifying patterns and anomalies in data that humans may not be able to detect, leading to better decision-making and improved outcomes. Hence, usage of AI technologies can allow businesses to reduce errors and improve accuracy. These advantages will fuel adoption of AI builders which will eventually boost global AI builder sales revenues.
| Attribute | Details |
|---|---|
| Estimated Global AI Builder Market Size (2023) | US$ 5.1 billion |
| Projected AI Builder Market Value (2033) | US$ 20.1 billion |
| Value-based CAGR (2023 to 2033) | 31.1% |
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As per Future Market Insights’ (FMI) latest analysis, from 2018 to 2022, the global market for AI builders experienced a CAGR of 26.7%. Looking ahead, global AI builder sales are expected to rise at a CAGR of 31.1% from 2023 to 2033.
Growth in the market is driven by increasing adoption of AI solutions across various industries and advancements in machine learning algorithms and natural language processing.
The availability of big data and growing demand for automation and digital transformation will also boost the global market.
The emergence of low-code and no-code AI development platforms has made it easier for businesses to adopt and integrate AI solutions, even without deep technical expertise. This in turn is supporting the expansion of the AI builder industry.
Growing demand for automation and efficiency in business processes and advancements in Ai builder solutions are likely to create lucrative opportunities for AI builders.
United States to Witness Steady Growth due to Favorable Technology & Innovation Ecosystem
| Attribute | Details |
|---|---|
| Country | United States |
| Market Size (US$ billion) by End of Forecast Period (2033) | US$ 5.09 billion |
| CAGR % from 2023 to End of Forecast (2033) | 32.9% |
The United States AI builder market is projected to reach a valuation of US$ 5.09 billion by 2033. From 2023 to 2033, AI builder demand in the country is likely to soar at a CAGR of 32.9%.
Strong presence of large enterprises and technological innovations in AI models are key factors driving the United States Market.
Expansion of industries, such as healthcare, finance, and manufacturing, is creating significant demand for AI builder solutions. This is because they can help to improve efficiency, reduce costs, and drive innovation.
Increasing Government Initiatives Fueling AI Builder Demand in the United Kingdom
| Attribute | Details |
|---|---|
| Country | The United Kingdom |
| Market Size (US$ billion) by End of Forecast Period (2033) | US$ 0.73 billion |
| CAGR % from 2023 to End of Forecast (2033) | 27.4% |
AI builder demand in the United Kingdom is forecast to rise at 27.2% CAGR between 2023 and 2033. By 2033, total market valuation is expected to reach US$ 0.73 billion.
The United Kingdom market is projected to experience growth as the government has recognized the potential of AI. It is taking steps to promote adoption of AI through initiatives such as the AI Sector Deal and the establishment of the Centre for Data Ethics and Innovation.
Rising popularity of AI technologies due to their various benefits will further boost the United Kingdom market.
Increasing Demand for AI-powered Products and Services Making China a Lucrative Market
| Attribute | Details |
|---|---|
| Country | China |
| Market Size (US$ billion) by End of Forecast Period (2033) | US$ 2.7 billion |
| CAGR % from 2023 to End of Forecast (2033) | 33.6% |
China AI builder industry is anticipated to reach a valuation of US$ 2.7 billion by 2033. It is forecast to exhibit an impressive CAGR of 33.6% during the forecast period.
Growth in China market is expected to be driven by increasing demand for AI-powered products and services among large and rapidly growing middle class. This includes smart homes, autonomous vehicles, and intelligent personal assistants
Growing Need for Customized Market Analytics & Solutions to Boost India AI Builder Industry
| Attribute | Details |
|---|---|
| Country | India |
| Market Size (US$ billion) by End of Forecast Period (2033) | US$ 0.93 billion |
| CAGR % from 2023 to End of Forecast (2033) | 35.8% |
The AI builder industry in India is forecast to exceed a valuation of US$ 0.93 billion by the end of 2033. Total AI builder sales revenue in India is expected to surge at a CAGR of around 35.8% during the forecast period.
Increasing adoption of AI-powered solutions by businesses to enhance their operations, reduce costs, and increase efficiency is a prominent factor driving India market.
AI builders can provide customized solutions that meet the specific needs of different businesses. Growing awareness about the advantages of AI builder solutions will thus play a key role in boosting India market.
Conversational AI Builder to Dominate the AI Builder Industry Through 2033
As per Future Market Insights (FMI), conversational AI builder segment is expected to dominate the global market during the forecast period. Demand for conversational AI builders is likely to surge at 28.7% CAGR from 2023 to 2033.
Growing applications of conversational artificial intelligence technologies such as chatbots across various industries is driving growth of the target segment.
Conversational AI is integrated with various other technologies, such as natural language processing (NLP), machine learning (ML), and voice recognition, to provide even more powerful and customized solutions.
Conversational AI automates several routine tasks, such as customer service and support, freeing up staff to focus on more complex and valuable tasks. This leads to cost savings and improved efficiency for businesses.
Healthcare Sector to Remain Leading End-user of AI Builder Solutions
The healthcare industry is expected to remain the leading end user of AI builders. It is forecast to exhibit a CAGR of 33.6% from 2023 to 2033. This segment captures a significant market share in 2023 due to the potential for AI to improve patient outcomes, reduce costs, and enhance the efficiency of medical research.
Healthcare generates a lot of data, and AI builder solutions can help healthcare providers analyze and interpret this data to improve patient outcomes, reduce costs, and enhance the efficiency of medical research.
Applications of AI in healthcare include medical imaging, electronic health records, drug discovery, and personalized medicine. Hence, rising applications in healthcare industry will create lucrative opportunities for AI builders.
The AI builder industry is becoming extremely competitive due to presence of numerous players. In such a scenario, key players must adopt effective strategies to stay ahead of the competition.
Key Strategies Adopted by the Players
Key companies are focusing on expanding their portfolios to meet changing end user demand. They are vigorously investing hugely in research and development to introduce innovative solutions. This will enable them to differentiate themselves from their competitors and cater to the evolving needs of customers.
Leading AI builders often form strategic partnerships and collaborations with other companies to leverage their strengths and expand their reach in the market. This will also help them to gain access to new technologies and markets.
The AI builder industry is witnessing significant expansion in emerging markets such as India and China. Key companies are expanding their presence in these markets by establishing local technology delivery centers and strengthening their channel partner networks.
To consolidate their market position and gain access to new markets, players also engage in mergers and acquisitions
Key Players in the AI Builder Industry
Key Developments in the Market:
| Attribute | Details |
|---|---|
| Estimated Market Size (2023) | US$ 5.1 billion |
| Projected Market Size (2033) | US$ 20.1 billion |
| Anticipated Growth Rate (2023 to 2033) | 31.1% CAGR |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ billion for Value and MT for Volume |
| Key Regions Covered | North America; Latin America; Europe; Asia Pacific; and Middle East and Africa |
| Key Countries Covered | United States, Canada, Mexico, Brazil, Germany, Italy, France, United Kingdom, Spain, BENELUX, Russia, China, Japan, South Korea, India, ASEAN, Australia and New Zealand, Türkiye, South Africa, GCC Countries, and Others. |
| Key Segments Covered | Type, Deployment, Enterprise Size, Industry, and Region |
| Key Companies Profiled | Microsoft Corporation; IBM Corporation; Google LLC; Amazon Web Services; Salesforce.com |
From 2018 to 2022, the global market evolved at a 26.7% HCAGR.
The market to continue to evolve at a 31.1% CAGR through 2033.
The global market has the potential to be worth US$ 20.1 billion by 2033.
By 2023, the market to have achieved US$ 5.1 billion in sales.
AI builder demand in the United States is predicted to increase at a CAGR of 32.9% between 2023 and 2033.
1. Executive Summary 1.1. Global Market Outlook 1.2. Demand Side Trends 1.3. Supply Side Trends 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. AI technology Innovation / Development Trends 4. Pricing Analysis 4.1. Pricing Analysis, By Pricing Model 4.1.1. Subscription Pricing Model 4.1.2. Perpetual Licensing 4.2. Average Pricing Analysis Benchmark 5. Global Market Demand (in Value in US$ million) Analysis 2018 to 2022 and Forecast, 2023 to 2033 5.1. Historical Market Value (US$ million) Analysis, 2018 to 2022 5.2. Current and Future Market Value (US$ million) Projections, 2023 to 2033 5.2.1. Y-o-Y Growth Trend Analysis 5.2.2. Absolute $ Opportunity Analysis 6. Market Background 6.1. Macro-Economic Factors 6.2. Forecast Factors - Relevance & Impact 6.3. Value Chain 6.4. COVID-19 Crisis - Impact Assessment 6.4.1. Current Statistics 6.4.2. Short-Mid-Long Term Outlook 6.4.3. Likely Rebound 6.5. Market Dynamics 6.5.1. Drivers 6.5.2. Restraints 6.5.3. Opportunities 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Type 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ million) Analysis By Type, 2018 to 2022 7.3. Current and Future Market Size (US$ million) Analysis and Forecast By Type, 2023 to 2033 7.3.1. Conversational 7.3.2. Predictive 7.3.3. Chatbot Builders 7.3.4. Workflow Automation Builders 7.3.5. Others 7.4. Market Attractiveness Analysis By Type 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Deployment Mode 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ million) Analysis By Deployment Mode, 2018 to 2022 8.3. Current and Future Market Size (US$ million) Analysis and Forecast By Deployment Mode, 2023 to 2033 8.3.1. On-Premises 8.3.2. Cloud-Based 8.4. Market Attractiveness Analysis By Deployment Mode 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Enterprise Size 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ million) Analysis By Enterprise Size, 2018 to 2022 9.3. Current and Future Market Size (US$ million) Analysis and Forecast By Enterprise Size, 2023 to 2033 9.3.1. Small Enterprises 9.3.2. Medium Enterprises 9.3.3. Large Enterprises 9.4. Market Attractiveness Analysis By Enterprise Size 10. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Industry 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ million) Analysis By Industry, 2018 to 2022 10.3. Current and Future Market Size (US$ million) Analysis and Forecast By Industry, 2023 to 2033 10.3.1. Healthcare 10.3.2. BFSI 10.3.3. IT & Telecom 10.3.4. Manufacturing 10.3.5. Government 10.3.6. Retail & Consumer Goods 10.3.7. Others 10.4. Market Attractiveness Analysis By Industry 11. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, by Region 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ million) Analysis By Region, 2018 to 2022 11.3. Current and Future Market Size (US$ million) Analysis and Forecast By Region, 2023 to 2033 11.3.1. North America 11.3.2. Latin America 11.3.3. East Asia 11.3.4. South Asia & Pacific 11.3.5. Western Europe 11.3.6. Eastern Europe 11.3.7. Central Asia 11.3.8. Russia & Belarus 11.3.9. Balkan & Baltics 11.3.10. Middle East & Africa 11.4. Market Attractiveness Analysis By Region 12. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 12.1. Introduction 12.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 12.3.1. By Type 12.3.2. By Deployment Mode 12.3.3. By Enterprise Size 12.3.4. By Industry 12.3.5. By Country 12.3.5.1. United States 12.3.5.2. Canada 12.4. Market Attractiveness Analysis 12.4.1. By Type 12.4.2. By Deployment Mode 12.4.3. By Enterprise Size 12.4.4. By Industry 12.4.5. By Country 13. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033 13.1. Introduction 13.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 13.3.1. By Type 13.3.2. By Deployment Mode 13.3.3. By Enterprise Size 13.3.4. By Industry 13.3.5. By Country 13.3.5.1. Brazil 13.3.5.2. Mexico 13.3.5.3. Rest of Latin America 13.4. Market Attractiveness Analysis 13.4.1. By Type 13.4.2. By Deployment Mode 13.4.3. By Enterprise Size 13.4.4. By Industry 13.4.5. By Country 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033 14.1. Introduction 14.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 14.3.1. By Type 14.3.2. By Deployment Mode 14.3.3. By Enterprise Size 14.3.4. By Industry 14.3.5. By Country 14.3.5.1. China 14.3.5.2. Japan 14.3.5.3. South Korea 14.4. Market Attractiveness Analysis 14.4.1. By Type 14.4.2. By Deployment Mode 14.4.3. By Enterprise Size 14.4.4. By Industry 14.4.5. By Country 15. South Asia & Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033 15.1. Introduction 15.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 15.3.1. By Type 15.3.2. By Deployment Mode 15.3.3. By Enterprise Size 15.3.4. By Industry 15.3.5. By Country 15.3.5.1. India 15.3.5.2. Indonesia 15.3.5.3. Malaysia 15.3.5.4. Singapore 15.3.5.5. Australia & New Zealand 15.3.5.6. Rest of South Asia and Pacific 15.4. Market Attractiveness Analysis 15.4.1. By Type 15.4.2. By Deployment Mode 15.4.3. By Enterprise Size 15.4.4. By Industry 15.4.5. By Country 16. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033 16.1. Introduction 16.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 16.3.1. By Type 16.3.2. By Deployment Mode 16.3.3. By Enterprise Size 16.3.4. By Industry 16.3.5. By Country 16.3.5.1. Germany 16.3.5.2. Italy 16.3.5.3. France 16.3.5.4. United Kingdom 16.3.5.5. Spain 16.3.5.6. BENELUX 16.3.5.7. Russia 16.3.5.8. Rest of Europe 16.4. Market Attractiveness Analysis 16.4.1. By Type 16.4.2. By Deployment Mode 16.4.3. By Enterprise Size 16.4.4. By Industry 16.4.5. By Country 17. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033 17.1. Introduction 17.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 17.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 17.3.1. By Type 17.3.2. By Deployment Mode 17.3.3. By Enterprise Size 17.3.4. By Industry 17.3.5. By Country 17.3.5.1. Poland 17.3.5.2. Hungary 17.3.5.3. Romania 17.3.5.4. Czech Republic 17.3.5.5. Rest of Eastern Europe 17.4. Market Attractiveness Analysis 17.4.1. By Type 17.4.2. By Deployment Mode 17.4.3. By Enterprise Size 17.4.4. By Industry 17.4.5. By Country 18. Central Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033 18.1. Introduction 18.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 18.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 18.3.1. By Type 18.3.2. By Deployment Mode 18.3.3. By Enterprise Size 18.3.4. By Industry 18.4. Market Attractiveness Analysis 18.4.1. By Type 18.4.2. By Deployment Mode 18.4.3. By Enterprise Size 18.4.4. By Industry 19. Russia & Belarus Market Analysis 2018 to 2022 and Forecast 2023 to 2033 19.1. Introduction 19.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 19.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 19.3.1. By Type 19.3.2. By Deployment Mode 19.3.3. By Enterprise Size 19.3.4. By Industry 19.4. Market Attractiveness Analysis 19.4.1. By Type 19.4.2. By Deployment Mode 19.4.3. By Enterprise Size 19.4.4. By Industry 20. Balkan & Baltics Market Analysis 2018 to 2022 and Forecast 2023 to 2033 20.1. Introduction 20.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 20.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 20.3.1. By Type 20.3.2. By Deployment Mode 20.3.3. By Enterprise Size 20.3.4. By Industry 20.4. Market Attractiveness Analysis 20.4.1. By Type 20.4.2. By Deployment Mode 20.4.3. By Enterprise Size 20.4.4. By Industry 21. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033 21.1. Introduction 21.2. Historical Market Size (US$ million) Trend Analysis By Market Taxonomy, 2018 to 2022 21.3. Current and Future Market Size (US$ million) Forecast By Market Taxonomy, 2023 to 2033 21.3.1. By Type 21.3.2. By Deployment Mode 21.3.3. By Enterprise Size 21.3.4. By Industry 21.3.5. By Country 21.3.5.1. GCC Countries 21.3.5.2. Turkiye 21.3.5.3. South Africa 21.3.5.4. Rest of Middle East and Africa 21.4. Market Attractiveness Analysis 21.4.1. By Type 21.4.2. By Deployment Mode 21.4.3. By Enterprise Size 21.4.4. By Industry 21.4.5. By Country 22. Key Countries Analysis- Market 22.1. United States Market Analysis 22.1.1. By Type 22.1.2. By Deployment Mode 22.1.3. By Enterprise Size 22.1.4. By Industry 22.2. Canada Market Analysis 22.2.1. By Type 22.2.2. By Deployment Mode 22.2.3. By Enterprise Size 22.2.4. By Industry 22.3. Mexico Market Analysis 22.3.1. By Type 22.3.2. By Deployment Mode 22.3.3. By Enterprise Size 22.3.4. By Industry 22.4. Brazil Market Analysis 22.4.1. By Type 22.4.2. By Deployment Mode 22.4.3. By Enterprise Size 22.4.4. By Industry 22.5. Germany Market Analysis 22.5.1. By Type 22.5.2. By Deployment Mode 22.5.3. By Enterprise Size 22.5.4. By Industry 22.6. Italy Market Analysis 22.6.1. By Type 22.6.2. By Deployment Mode 22.6.3. By Enterprise Size 22.6.4. By Industry 22.7. France Market Analysis 22.7.1. By Type 22.7.2. By Deployment Mode 22.7.3. By Enterprise Size 22.7.4. By Industry 22.8. United Kingdom Market Analysis 22.8.1. By Type 22.8.2. By Deployment Mode 22.8.3. By Enterprise Size 22.8.4. By Industry 22.9. Spain Market Analysis 22.9.1. By Type 22.9.2. By Deployment Mode 22.9.3. By Enterprise Size 22.9.4. By Industry 22.10. BENELUX Market Analysis 22.10.1. By Type 22.10.2. By Deployment Mode 22.10.3. By Enterprise Size 22.10.4. By Industry 22.11. Russia Market Analysis 22.11.1. By Type 22.11.2. By Deployment Mode 22.11.3. By Enterprise Size 22.11.4. By Industry 22.12. China Market Analysis 22.12.1. By Type 22.12.2. By Deployment Mode 22.12.3. By Enterprise Size 22.12.4. By Industry 22.13. Japan Market Analysis 22.13.1. By Type 22.13.2. By Deployment Mode 22.13.3. By Enterprise Size 22.13.4. By Industry 22.14. South Korea Market Analysis 22.14.1. By Type 22.14.2. By Deployment Mode 22.14.3. By Enterprise Size 22.14.4. By Industry 22.15. India Market Analysis 22.15.1. By Type 22.15.2. By Deployment Mode 22.15.3. By Enterprise Size 22.15.4. By Industry 22.16. Malaysia Market Analysis 22.16.1. By Type 22.16.2. By Deployment Mode 22.16.3. By Enterprise Size 22.16.4. By Industry 22.17. Indonesia Market Analysis 22.17.1. By Type 22.17.2. By Deployment Mode 22.17.3. By Enterprise Size 22.17.4. By Industry 22.18. Singapore Market Analysis 22.18.1. By Type 22.18.2. By Deployment Mode 22.18.3. By Enterprise Size 22.18.4. By Industry 22.19. Australia and New Zealand Market Analysis 22.19.1. By Type 22.19.2. By Deployment Mode 22.19.3. By Enterprise Size 22.19.4. By Industry 22.20. GCC Countries Market Analysis 22.20.1. By Type 22.20.2. By Deployment Mode 22.20.3. By Enterprise Size 22.20.4. By Industry 22.21. Turkiye Market Analysis 22.21.1. By Type 22.21.2. By Deployment Mode 22.21.3. By Enterprise Size 22.21.4. By Industry 22.22. South Africa Market Analysis 22.22.1. By Type 22.22.2. By Deployment Mode 22.22.3. By Enterprise Size 22.22.4. By Industry 22.23. Rest of Middle East and Africa Market Analysis 22.23.1. By Type 22.23.2. By Deployment Mode 22.23.3. By Enterprise Size 22.23.4. By Industry 23. Market Structure Analysis 23.1. Market Analysis by Tier of Companies 23.2. Market Share Analysis of Top Players 23.3. Market Presence Analysis 24. Competition Analysis 24.1. Competition Dashboard 24.2. Competition Benchmarking 24.3. Competition Deep Dive 24.3.1. Microsoft Corporation 24.3.1.1. Business Overview 24.3.1.2. Solution Portfolio 24.3.1.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.1.4. Key Strategy & Developments 24.3.2. IBM Corporation 24.3.2.1. Business Overview 24.3.2.2. Solution Portfolio 24.3.2.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.2.4. Key Strategy & Developments 24.3.3. Google LLC 24.3.3.1. Business Overview 24.3.3.2. Solution Portfolio 24.3.3.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.3.4. Key Strategy & Developments 24.3.4. Amazon Web Deployment Mode, Inc. 24.3.4.1. Business Overview 24.3.4.2. Solution Portfolio 24.3.4.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.4.4. Key Strategy & Developments 24.3.5. Salesforce.com, Inc. 24.3.5.1. Business Overview 24.3.5.2. Solution Portfolio 24.3.5.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.5.4. Key Strategy & Developments 24.3.6. Oracle Corporation 24.3.6.1. Business Overview 24.3.6.2. Solution Portfolio 24.3.6.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.6.4. Key Strategy & Developments 24.3.7. SAP SE 24.3.7.1. Business Overview 24.3.7.2. Solution Portfolio 24.3.7.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.7.4. Key Strategy & Developments 24.3.8. Intel Corporation 24.3.8.1. Business Overview 24.3.8.2. Solution Portfolio 24.3.8.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.8.4. Key Strategy & Developments 24.3.9. NVIDIA Corporation 24.3.9.1. Business Overview 24.3.9.2. Solution Portfolio 24.3.9.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.9.4. Key Strategy & Developments 24.3.10. Infosys Limited 24.3.10.1. Business Overview 24.3.10.2. Solution Portfolio 24.3.10.3. Profitability by Market Segments (Type/Deployment Mode/Enterprise Size/Industry/Region) 24.3.10.4. Key Strategy & Developments 25. Assumptions and Acronyms Used 26. Research Methodology
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AI Builder Market
