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% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
Principal Consultant
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
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
Explore Technology Insights
View Reports
AI Builder Market
