No-Code AI Platform Market
Discover How No-Code AI Platforms Can Close the Gap Between Domain and AI Experts in FMI’s Latest Survey!
No-Code AI Platform Market by Solution, Technology, Enterprise Size, Industry & Region - Forecast 2022 - 2032
No-Code AI Platform Market Outlook (2022-2032)
[250 Pages Report] The global no-code AI platform market reached a valuation of US$ 2,581.3 Mn in 2021. The no-code AI platform market is expected to reach US$ 38,518.0 Mn by 2032 and exhibit growth at a CAGR of 28.1% during 2022-2032.
No-code AI platforms are referred to as AI development platforms which provide non-programmers and non-AI experts with the necessary tools that they need to implement AI projects. They can also be implemented by AI practitioners and experts for their projects.
No-code AI platform may not possess the same ability as AI platforms which require programming and other expertise. But, they still serve an important purpose of making use of AI for developing software and projects for a wider group of people and beginners. As per FMI, the no-code AI platform market holds about 16% of the global software development market.
Increasing number of AI companies across the globe is anticipated to bode well for the global market. As the number is increasing, the gap between domain experts and AI experts is also widening. In-depth knowledge of AI experts helps domain experts to solve their technology related issues. No-code AI tools would create new opportunities for domain experts to communicate better and test their ideas with AI experts.
|
Attributes |
Key Statistics |
|
No-Code AI Platform Market Estimated Size (2022) |
US$ 3,231.8 Mn |
|
Projected Market Valuation (2032) |
US$ 38,518.0 Mn |
|
Value-based CAGR (2022-2032) |
28.1% |
|
Collective Value Share: Top 5 Vendors |
Around 35% |
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2017-2021 No-Code AI platform Demand Outlook Compared to 2022-2032 Forecast
The no-code AI platform market is expected to grow at 28.1% CAGR between 2022 to 2032. As per FMI, the market grew at a CAGR of 14.3% in the historical period of 2017-2021.
Growth is attributed to rapid evolution and implementation of AI and machine learning across the globe. Technologies like automated ML are gaining immense popularity as these solutions are meant for businesses that lack ML expertise. There has also been an increase in the adoption of IoT, edge computing, and data science solutions & services across various industries, which would aid growth.
Urgent Need to Automate Tasks in Organizations to Drive Sales of No-Code AI Platforms
Over the past few years, artificial intelligence and machine learning have been implemented in numerous industries and departments such as the human resource department of various companies. These technologies are mainly used for automating numerous tasks and for developing programs & models to obtain real-time insights about a large number of aspects in a company.
However, not every employee in a company that uses AI platforms is aware of the development methods or has the correct technical expertise. To allow such individuals to interact with and to develop AI platforms for their work, no-code AI platforms have been an essential tool. It is projected to drive the global market in the forecast period.
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Talk to AnalystCountry-wise Insights
What is the U.S. No-Code AI Platform Market Outlook?
“Key Players in the U.S. Are Developing AI Without Coding”
There are several companies in the U.S. that provide novel AI solutions and services for building mobile & desktop apps for businesses, automating workflows, and automated communication. Many large-scale technology companies such as Neuralink, IBM, Microsoft, and Google are implementing AI for multiple applications in the U.S.
Why is India Showcasing Lucrative Growth in the No-Code AI Platform Industry?
“Companies in India Are Inclining towards Low Code Machine Learning”
Ove the past few years, several enterprises in India have implemented AI solutions and services for their business purposes. The majority of these companies had to shift to software and mobile application platforms irrespective of their domain because of the growing penetration of the internet in India.
Software development automation and analytics have witnessed high growth across the country over the last few years. AI implementation has also witnessed growth in the education and government sectors. Owing to the aforementioned factors, the India no-code AI platform market is expected to showcase the highest CAGR of 37.5% in the forecast period.
How is the Japan No-Code AI Platform Market Faring?
“Government in Japan to Deploy No-Code Machine Learning in Educational Institutions”
Due to growing ageing population in Japan, the Japanese workforce is experiencing a decline. However, several companies in the country have started offering AI solutions and services to enhance the workflow. AI is also being developed by Japanese financial and chemical manufacturers, as well as government institutions. The government is focusing on equipping educational institutions with AI platforms. Thus, the Japan no-code AI platform market is likely to grow at a CAGR of 33.8% in the evaluation period.
Category-wise Insights
Which is the Leading Solution Segment in the Global Market?
“Demand for No-Code AI Tools to Surge among Organizations”
The no-code AI tools segment is projected to generate a global market share of about 71.3% in the assessment period. These tools require programming from users and provide them with compilers, programming assistance, software testing tools, and operation assistance.
Which is the Highly Preferred No-Code AI Platform Technology?
“Natural Language Processing Technology is Preferred by No-Code AI Tools Users”
Natural language processing (NLP) is a technology that is widely implemented in chatbots, language translators, and voice assistants. Chatbots and translators are being widely implemented by companies for their websites and internal use. For instance, Sky news, a British broadcast channel uses NLP to interpret voice calls and obtain customer insights.
Which Industry is Likely to Dominate the Market for No-Code AI Platforms?
“Healthcare Industry is Looking for Advanced No-Code AI Builders”
In order to improve healthcare services and operations, AI is being implemented in the healthcare sector. Implementation of AI includes algorithms to identify patients’ health conditions, several operations such as booking appointment & filling prescriptions, and patient identification to increase the speed of tasks.
AI implementation can help healthcare workers automate or accelerate the tasks that are time-consuming, simple, and require high effort. AI can also assist them to improve services for patients. For instance, certain steps such as iRhythm technologies integrated with the ZEUS system are already being taken in healthcare organizations. The system is used for detecting atrial fibrillation (AFib), thereby characterizing them and integrating with the clinical workflow.
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Competitive Landscape
No-code AI platform developers are striving to provide several solution development tools to non-programmers. Some of the others are launching their own platforms equipped with various features for multiple operations or for specific purposes.
For instance,
- In June 2021, Apple announced the launch of its no-code AI platform named Trinity. It was composed of data pipelines and experiment management systems. The purpose of this launch was to organize complex spatial datasets. The platform allows users to create machine learning models without writing programs.
- In July 2019, MonkeyLearn raised US$ 2.2 Mn in seed funding for its no-code AI platform. The company provides its clients with features necessary for developing text analysis models. The funding was used for MonkeyLearn’s growth in hiring and sales focused in the U.S. and product development.
Google AutoML, Amazon Sagemaker, Microsoft Lobe: 3 No-Code AI Platforms at the Forefront
Considering the need for non-AI experts to test their ideas and processes, many companies are now offering easy-to-access platforms. Google, Amazon, and Lobe are among the leading companies in no-code AI platform space.
Google’s AutoML enables developers who have limited machine learning expertise to build high-quality models that pertain to their businesses. Google announced the launch of this product in 2018 and since then, it has become one of the highly preferred platforms for non-AI experts.
The focus of Google is to develop a unique platform that requires minimum technical expertise. Therefore, it is building its product in such a way that it requires less coding. For instance, in May 2021, the company announced that it is bringing AutoML and AI platforms together into a unified API. This new software requires nearly 80% less coding.
Amazon Sagemaker is another prominent no-code AI platform worldwide. Solutions of Amazon Sagemaker are targeted towards business analysts, data scientists, and ML engineers. The platform is compatible with 22 compliance programs such as PCI, HIPPA, and FedRAMP. It is currently being used by leading companies such as Aurora, AstraZeneca, Celgene, Lenovo, Hyundai, and Roche.
Amazon is also partnering with many artificial intelligence providers to drive innovation. For instance, Observe.AI is using the Amazon Sagemaker to build an intelligence workforce platform.
Microsoft Lobe is another key platform in the no-code AI space. The platform offers pre-built project templates such as image classification, object detection, and data classification. Lobe.ai was an individual entity and was bought by Microsoft in 2018.
Scope of the Report
|
Attribute |
Details |
|
Estimated Market Size (2022) |
US$ 3,231.8 Mn |
|
Projected Market Valuation (2032) |
US$ 38,518.0 Mn |
|
Value-based CAGR (2022-2032) |
28.1% |
|
Forecast Period |
2022-2032 |
|
Historical Data Available for |
2017-2021 |
|
Market Analysis |
Value (US$ Mn) |
|
Key Regions Covered |
North America, Latin America, Europe, South Asia & Pacific, East Asia, and the Middle East & Africa |
|
Key Countries Covered |
US, Canada, Germany, U.K., France, Italy, Spain, Russia, China, Japan, South Korea, India, Australia & New Zealand, GCC Countries, Turkey, and South Africa |
|
Key Segments Covered |
Solution, Technology, Enterprise Size, Industry, and Region |
|
Key Companies Profiled |
|
|
Report Coverage |
Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
No-Code AI Platform Outlook by Category
By Solution:
- No-code AI tools
- Cloud-Based
- On-Premises
- Services
- Professional Services
- Consulting Services
- Support and Maintenance Services
- Training and Education
- Software Development
- Managed Services
- Professional Services
By Technology:
- Natural Language Processing (NLP)
- Computer Vision
- Predictive Analytics
By Enterprise Size:
- Small and Mid-Sized Enterprises (SMEs)
- Large Enterprises
By Industry:
- BFSI
- IT & Telecom
- Retail
- Healthcare
- Manufacturing
- Government
- Education
- Others
By Region:
- North America
- Latin America
- Europe
- South Asia & Pacific
- East Asia
- Middle East & Africa
Frequently Asked Questions
Which are some of the leading companies that offer no-code AI platform?
Some of the leading companies offering no-code AI platform are Google, MonkeyLearn, Apple, and Clarifai.
Which region is expected to showcase high growth in the no-code AI platform market?
South Asia & Pacific is expected to showcase the highest growth rate at a CAGR of 34.6% from 2022-2032.
Which factors are driving the demand for no-code AI platforms?
Ability of no-code AI platforms to allow non-programmers and beginners to work on AI projects and easy implementation by enterprises that do not have a strong workforce or equipment to work on AI platforms are expected to drive demand.
Which industry has the largest share in the no-code AI platform market?
BFSI sector had the largest share of 71.3% in 2021 in the no-code AI platform market.
Which technology has the highest CAGR in the no-code AI platform market?
Predictive analytics will have the highest CAGR of 19.7% from 2022-2032.
Which are the top five countries in the no-code AI platform market?
Top 5 countries driving demand for no-code AI platforms are the U.S., the U.K., India, China, and Japan.
What was the South Asia & Pacific no-code AI platform market outlook in 2021?
The South Asia and Pacific no-code AI platform market generated a share of 13.2% in 2021 and was valued at approximately US$ 340.7 Mn.
What are the major trends in the no-code AI platform market?
Increasing demand for natural language processing and automated ML tools is expected to be a major trend in the market.
Which country will exhibit the highest CAGR during the forecast period?
India will exhibit the highest CAGR of 37.5% during the forecast period.
At what CAGR did the no-code AI platform market grow in 2017-2021?
The no-code AI platform market exhibited growth at a CAGR of 14.3% in 2017-2021.
Which East Asian country had the largest share in the no-code AI platform market in 2021?
China had generated the largest share in the no-code AI platform market in 2021.
Table of Content
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 3. Key Market Trends 3.1. Key Trends Impacting the Market 3.2. Solution Innovation / Development Trends 3.3. Key Success Factors 4. Pricing Analysis 4.1. Types of pricing models, By Solution 4.2. Global pricing analysis benchmark 5. Global Market Demand (in Value in US$ Mn) Analysis 2017-2021 and Forecast, 2022-2032 5.1. Historical Market Value (US$ Mn) Analysis, 2017-2021 5.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032 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 Analysis 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 2017-2021 and Forecast 2022-2032, By Solution 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ Mn) Analysis By Solution, 2017-2021 7.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Solution, 2022-2032 7.3.1. No-code AI Tools 7.3.1.1. Cloud-Based 7.3.1.2. On-Premises 7.3.2. Services 7.3.2.1. Professional Services 7.3.2.1.1. Consulting Services 7.3.2.1.2. Support and Maintenance Services 7.3.2.1.3. Training and Education 7.3.2.1.4. Software Development 7.3.2.2. Managed Services 7.4. Market Attractiveness Analysis By Solution 8. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Technology 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Mn) Analysis By Technology, 2017 - 2021 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Technology, 2022 - 2032 8.3.1. Natural Language Processing (NLP) 8.3.2. Computer Vision 8.3.3. Predictive Analytics 8.4. Market Attractiveness Analysis By Technology 9. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Enterprise Size 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Mn) Analysis By Enterprise Size, 2017-2021 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Enterprise Size, 2022-2032 9.3.1. Small and Medium-sized Enterprises (SMEs) 9.3.2. Large Enterprises 9.4. Market Attractiveness Analysis By Enterprise Size 10. Global Market Analysis 2017-2021 and Forecast 2022-2032, By Industry 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Mn) Analysis By Industry, 2017-2021 10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Industry, 2022-2032 10.3.1. BFSI 10.3.2. IT and Telecom 10.3.3. Retail 10.3.4. Healthcare 10.3.5. Manufacturing 10.3.6. Government 10.3.7. Education 10.3.8. Others 10.4. Market Attractiveness Analysis By Industry 11. Global Market Analysis 2017-2021 and Forecast 2022-2032, by Region 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Mn) Analysis By Region, 2017 - 2021 11.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Region, 2022 - 2032 11.3.1. North America 11.3.2. Latin America 11.3.3. Europe 11.3.4. East Asia 11.3.5. South Asia & Pacific 11.3.6. Middle East & Africa 11.4. Market Attractiveness Analysis By Region 12. North America Market Analysis 2017-2021 and Forecast 2022-2032 12.1. Introduction 12.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 12.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 12.3.1. By Solution 12.3.2. By Technology 12.3.3. By Enterprise Size 12.3.4. By Industry 12.3.5. By Country 12.3.5.1. U.S. 12.3.5.2. Canada 12.4. Market Attractiveness Analysis 12.4.1. By Solution 12.4.2. By Technology 12.4.3. By Enterprise Size 12.4.4. By Industry 12.4.5. By Country 12.5. Market Trends 12.6. Key Market Participants - Intensity Mapping 13. Latin America Market Analysis 2017-2021 and Forecast 2022-2032 13.1. Introduction 13.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 13.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 13.3.1. By Solution 13.3.2. By Technology 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 Solution 13.4.2. By Technology 13.4.3. By Enterprise Size 13.4.4. By Industry 13.4.5. By Country 13.5. Market Trends 13.6. Key Market Participants - Intensity Mapping 14. Europe Market Analysis 2017-2021 and Forecast 2022-2032 14.1. Introduction 14.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 14.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 14.3.1. By Solution 14.3.2. By Technology 14.3.3. By Enterprise Size 14.3.4. By Industry 14.3.5. By Country 14.3.5.1. Germany 14.3.5.2. Italy 14.3.5.3. France 14.3.5.4. U.K. 14.3.5.5. Spain 14.3.5.6. BENELUX 14.3.5.7. Russia 14.3.5.8. Rest of Europe 14.4. Market Attractiveness Analysis 14.4.1. By Solution 14.4.2. By Technology 14.4.3. By Enterprise Size 14.4.4. By Industry 14.4.5. By Country 14.5. Market Trends 14.6. Key Market Participants - Intensity Mapping 15. South Asia & Pacific Market Analysis 2017-2021 and Forecast 2022-2032 15.1. Introduction 15.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 15.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 15.3.1. By Solution 15.3.2. By Technology 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 & Pacific 15.4. Market Attractiveness Analysis 15.4.1. By Solution 15.4.2. By Technology 15.4.3. By Enterprise Size 15.4.4. By Industry 15.4.5. By Country 15.5. Market Trends 15.6. Key Market Participants - Intensity Mapping 16. East Asia Market Analysis 2017-2021 and Forecast 2022-2032 16.1. Introduction 16.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 16.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 16.3.1. By Solution 16.3.2. By Technology 16.3.3. By Enterprise Size 16.3.4. By Industry 16.3.5. By Country 16.3.5.1. China 16.3.5.2. Japan 16.3.5.3. South Korea 16.4. Market Attractiveness Analysis 16.4.1. By Solution 16.4.2. By Technology 16.4.3. By Enterprise Size 16.4.4. By Industry 16.4.5. By Country 16.5. Market Trends 16.6. Key Market Participants - Intensity Mapping 17. Middle East and Africa Market Analysis 2017-2021 and Forecast 2022-2032 17.1. Introduction 17.2. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2017 - 2021 17.3. Current and Future Market Size (US$ Mn) Forecast By Market Taxonomy, 2022 - 2032 17.3.1. By Solution 17.3.2. By Technology 17.3.3. By Enterprise Size 17.3.4. By Industry 17.3.5. By Country 17.3.5.1. GCC Countries 17.3.5.2. Turkey 17.3.5.3. South Africa 17.3.5.4. Rest of Middle East and Africa 17.4. Market Attractiveness Analysis 17.4.1. By Solution 17.4.2. By Technology 17.4.3. By Enterprise Size 17.4.4. By Industry 17.4.5. By Country 17.5. Market Trends 17.6. Key Market Participants - Intensity Mapping 18. Country wise- No Code AI Platform Market 18.1. U.S. Market Analysis 18.1.1. By Solution 18.1.2. By Technology 18.1.3. By Enterprise Size 18.1.4. By Industry 18.2. Canada Market Analysis 18.2.1. By Solution 18.2.2. By Technology 18.2.3. By Enterprise Size 18.2.4. By Industry 18.3. Mexico Market Analysis 18.3.1. By Solution 18.3.2. By Technology 18.3.3. By Enterprise Size 18.3.4. By Industry 18.4. Brazil No Code AI Market Analysis 18.4.1. By Solution 18.4.2. By Technology 18.4.3. By Enterprise Size 18.4.4. By Industry 18.5. Germany Market Analysis 18.5.1. By Solution 18.5.2. By Technology 18.5.3. By Enterprise Size 18.5.4. By Industry 18.6. Italy No Code AI Market Analysis 18.6.1. By Solution 18.6.2. By Technology 18.6.3. By Enterprise Size 18.6.4. By Industry 18.7. France Market Analysis 18.7.1. By Solution 18.7.2. By Technology 18.7.3. By Enterprise Size 18.7.4. By Industry 18.8. U.K. Market Analysis 18.8.1. By Solution 18.8.2. By Technology 18.8.3. By Enterprise Size 18.8.4. By Industry 18.9. Spain Market Analysis 18.9.1. By Solution 18.9.2. By Technology 18.9.3. By Enterprise Size 18.9.4. By Industry 18.10. BENELUX Market Analysis 18.10.1. By Solution 18.10.2. By Technology 18.10.3. By Enterprise Size 18.10.4. By Industry 18.11. Russia Market Analysis 18.11.1. By Solution 18.11.2. By Technology 18.11.3. By Enterprise Size 18.11.4. By Industry 18.12. China Market Analysis 18.12.1. By Solution 18.12.2. By Technology 18.12.3. By Enterprise Size 18.12.4. By Industry 18.13. Japan Market Analysis 18.13.1. By Solution 18.13.2. By Technology 18.13.3. By Enterprise Size 18.13.4. By Industry 18.14. South Korea Market Analysis 18.14.1. By Solution 18.14.2. By Technology 18.14.3. By Enterprise Size 18.14.4. By Industry 18.15. India Market Analysis 18.15.1. By Solution 18.15.2. By Technology 18.15.3. By Enterprise Size 18.15.4. By Industry 18.16. Malaysia Market Analysis 18.16.1. By Solution 18.16.2. By Technology 18.16.3. By Enterprise Size 18.16.4. By Industry 18.17. Indonesia Market Analysis 18.17.1. By Solution 18.17.2. By Technology 18.17.3. By Enterprise Size 18.17.4. By Industry 18.18. Singapore Market Analysis 18.18.1. By Solution 18.18.2. By Technology 18.18.3. By Enterprise Size 18.18.4. By Industry 18.19. Australia and New Zealand Market Analysis 18.19.1. By Solution 18.19.2. By Technology 18.19.3. By Enterprise Size 18.19.4. By Industry 18.20. GCC Countries Market Analysis 18.20.1. By Solution 18.20.2. By Technology 18.20.3. By Enterprise Size 18.20.4. By Industry 18.21. Turkey Market Analysis 18.21.1. By Solution 18.21.2. By Technology 18.21.3. By Enterprise Size 18.21.4. By Industry 18.22. South Africa Market Analysis 18.22.1. By Solution 18.22.2. By Technology 18.22.3. By Enterprise Size 18.22.4. By Industry 19. Market Structure Analysis 19.1. Market Analysis by Tier of Companies 19.2. Market Share Analysis of Top Players 19.3. Market Presence Analysis, Regional footprint by Players 20. Competition Analysis 20.1. Competition Dashboard 20.2. Competition Deep Dive 20.2.1. Clarifai Inc. 20.2.1.1. Business Overview 20.2.1.2. Solution Portfolio 20.2.1.3. Profitability by Market Segments (Business Segment/Region) 20.2.1.4. Recent Market Development 20.2.1.5. Strategy Overview 20.2.1.5.1. Marketing Strategy 20.2.1.5.2. Product Strategy 20.2.2. Caspio Inc. 20.2.2.1. Business Overview 20.2.2.2. Solution Portfolio 20.2.2.3. Profitability by Market Segments (Business Segment/Region) 20.2.2.4. Recent Market Development 20.2.2.5. Strategy Overview 20.2.2.5.1. Marketing Strategy 20.2.2.5.2. Product Strategy 20.2.3. Google 20.2.3.1. Business Overview 20.2.3.2. Solution Portfolio 20.2.3.3. Profitability by Market Segments (Business Segment/Region) 20.2.3.4. Recent Market Development 20.2.3.5. Strategy Overview 20.2.3.5.1. Marketing Strategy 20.2.3.5.2. Product Strategy 20.2.4. Amazon 20.2.4.1. Business Overview 20.2.4.2. Solution Portfolio 20.2.4.3. Profitability by Market Segments (Business Segment/Region) 20.2.4.4. Recent Market Development 20.2.4.5. Strategy Overview 20.2.4.5.1. Marketing Strategy 20.2.4.5.2. Product Strategy 20.2.5. Microsoft 20.2.5.1. Business Overview 20.2.5.2. Solution Portfolio 20.2.5.3. Profitability by Market Segments (Business Segment/Region) 20.2.5.4. Recent Market Development 20.2.5.5. Strategy Overview 20.2.5.5.1. Marketing Strategy 20.2.5.5.2. Product Strategy 20.2.6. Akkio Inc. 20.2.6.1. Business Overview 20.2.6.2. Solution Portfolio 20.2.6.3. Profitability by Market Segments (Business Segment/Region) 20.2.6.4. Recent Market Development 20.2.6.5. Strategy Overview 20.2.6.5.1. Marketing Strategy 20.2.6.5.2. Product Strategy 20.2.7. Apteo 20.2.7.1. Business Overview 20.2.7.2. Solution Portfolio 20.2.7.3. Profitability by Market Segments (Business Segment/Region) 20.2.7.4. Recent Market Development 20.2.7.5. Strategy Overview 20.2.7.5.1. Marketing Strategy 20.2.7.5.2. Product Strategy 20.2.8. Runway 20.2.8.1. Business Overview 20.2.8.2. Solution Portfolio 20.2.8.3. Profitability by Market Segments (Business Segment/Region) 20.2.8.4. Recent Market Development 20.2.8.5. Strategy Overview 20.2.8.5.1. Marketing Strategy 20.2.8.5.2. Product Strategy 20.2.9. QuickBase Inc. 20.2.9.1. Business Overview 20.2.9.2. Solution Portfolio 20.2.9.3. Profitability by Market Segments (Business Segment/Region) 20.2.9.4. Recent Market Development 20.2.9.5. Strategy Overview 20.2.9.5.1. Marketing Strategy 20.2.9.5.2. Product Strategy 20.2.10. AgilePoint Inc. 20.2.10.1. Business Overview 20.2.10.2. Solution Portfolio 20.2.10.3. Profitability by Market Segments (Business Segment/Region) 20.2.10.4. Recent Market Development 20.2.10.5. Strategy Overview 20.2.10.5.1. Marketing Strategy 20.2.10.5.2. Product Strategy 20.2.11. MonkeyLearn 20.2.11.1. Business Overview 20.2.11.2. Solution Portfolio 20.2.11.3. Profitability by Market Segments (Business Segment/Region) 20.2.11.4. Recent Market Development 20.2.11.5. Strategy Overview 20.2.11.5.1. Marketing Strategy 20.2.11.5.2. Product Strategy 20.2.12. Levity 20.2.12.1. Business Overview 20.2.12.2. Solution Portfolio 20.2.12.3. Profitability by Market Segments (Business Segment/Region) 20.2.12.4. Recent Market Development 20.2.12.5. Strategy Overview 20.2.12.5.1. Marketing Strategy 20.2.12.5.2. Product Strategy 20.2.13. Intersect Labs 20.2.13.1. Business Overview 20.2.13.2. Solution Portfolio 20.2.13.3. Profitability by Market Segments (Business Segment/Region) 20.2.13.4. Recent Market Development 20.2.13.5. Strategy Overview 20.2.13.5.1. Marketing Strategy 20.2.13.5.2. Product Strategy 20.2.14. Apple 20.2.14.1. Business Overview 20.2.14.2. Solution Portfolio 20.2.14.3. Profitability by Market Segments (Business Segment/Region) 20.2.14.4. Recent Market Development 20.2.14.5. Strategy Overview 20.2.14.5.1. Marketing Strategy 20.2.14.5.2. Product Strategy 20.2.15. DataRobot Inc. 20.2.15.1. Business Overview 20.2.15.2. Solution Portfolio 20.2.15.3. Profitability by Market Segments (Business Segment/Region) 20.2.15.4. Recent Market Development 20.2.15.5. Strategy Overview 20.2.15.5.1. Marketing Strategy 20.2.15.5.2. Product Strategy 21. Assumptions and Acronyms Used 22. Research Methodology
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Table 01: Global Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 02: Global Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 03: Global Market Value (US$ Mn) Analysis (2017 – 2021) By Technology Table 04: Global Market Value (US$ Mn) Forecast (2022 – 2032) By Technology Table 05: Global Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 06: Global Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 07: Global Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 08: Global Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 09: Global Market Value (US$ Mn) Analysis (2017 – 2021) by Region Table 10: Global Market Value (US$ Mn) Forecast (2022 – 2032) by Region Table 11: North America Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 12: North America Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 13: North America Market Value (US$ Mn) Analysis (2017 – 2021) By Technology (1/2) Table 14: North America Market Value (US$ Mn) Forecast (2022 – 2032) By Technology (1/2) Table 15: North America Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 16: North America Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 17: North America Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 18: North America Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 19: North America Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 20: North America Market Value (US$ Mn) Forecast (2022 – 2032) by Country Table 21: Latin America Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 22: Latin America Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 23: Latin America Market Value (US$ Mn) Analysis (2017 – 2021) By Technology (1/2) Table 24: Latin America Market Value (US$ Mn) Forecast (2022 – 2032) By Technology (1/2) Table 25: Latin America Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 26: Latin America Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 27: Latin America Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 28: Latin America Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 29: Latin America Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 30: Latin America Market Value (US$ Mn) Forecast (2022 – 2032) by Country Table 31: Europe Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 32: Europe Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 33: Europe Market Value (US$ Mn) Analysis (2017 – 2021) By Technology Table 34: Europe Market Value (US$ Mn) Forecast (2022 – 2032) By Technology Table 35: Europe Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 36: Europe Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 37: Europe Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 38: Europe Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 39: Europe Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 40: Europe Market Value (US$ Mn) Forecast (2022 – 2032) by Country Table 41: South Asia & Pacific Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 42: South Asia & Pacific Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 43: South Asia & Pacific Market Value (US$ Mn) Analysis (2017 – 2021) By Technology Table 44: South Asia & Pacific Market Value (US$ Mn) Forecast (2022 – 2032) By Technology Table 45: South Asia & Pacific Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 46: South Asia & Pacific Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 47: South Asia & Pacific Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 48: South Asia & Pacific Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 49: South Asia & Pacific Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 50: South Asia & Pacific Market Value (US$ Mn) Forecast (2022 – 2032) by Country Table 51: East Asia Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 52: East Asia Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 53: East Asia Market Value (US$ Mn) Analysis (2017 – 2021) By Technology Table 54: East Asia Market Value (US$ Mn) Forecast (2022 – 2032) By Technology Table 55: East Asia Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 56: East Asia Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 57: East Asia Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 58: East Asia Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 59: East Asia Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 60: East Asia Market Value (US$ Mn) Forecast (2022 – 2032) by Country Table 61: Middle East & Africa Market Value (US$ Mn) Analysis (2017 – 2021) By Solution Table 62: Middle East & Africa Market Value (US$ Mn) Forecast (2022 – 2032) By Solution Table 63: Middle East & Africa Market Value (US$ Mn) Analysis (2017 – 2021) By Technology Table 64: Middle East & Africa Market Value (US$ Mn) Forecast (2022 – 2032) By Technology Table 65: Middle East & Africa Market Value (US$ Mn) Analysis (2017 – 2021) By Enterprise size Table 66: Middle East & Africa Market Value (US$ Mn) Forecast (2022 – 2032) By Enterprise size Table 67: Middle East & Africa Market Value (US$ Mn) Analysis (2017 – 2021) By Industry Table 68: Middle East & Africa Market Value (US$ Mn) Forecast (2022 – 2032) By Industry Table 69: Middle East & Africa Market Value (US$ Mn) Analysis (2017 – 2021) by Country Table 70: Middle East & Africa Market Value (US$ Mn) Forecast (2022 – 2032) by Country
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Figure 01: Global No-Code Size (US$ Mn) and Y-o-Y Growth Rate from 2022-2032 Figure 02: Global No-Code Size and Y-o-Y Growth Rate from 2022-2032 Figure 03: Global No-Code Value (US$ Mn), 2017-2021 Figure 04: Global No-Code Value (US$ Mn), 2022-2032 Figure 05: Global No-Code Value Share Analysis (2022 – 2032) By Solution Figure 06: Global No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 07: Global No-Code Attractiveness By Solution Figure 08: Global No-Code Value Share Analysis (2022 – 2032) By Technology Figure 09: Global No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 10: Global No-Code Attractiveness By Technology Figure 11: Global No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 12: Global No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 13: Global No-Code Attractiveness By Enterprise size Figure 14: Global No-Code Value Share Analysis (2022 – 2032) By Industry Figure 15: Global No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 16: Global No-Code Attractiveness By Industry Figure 17: Global No-Code Value Share Analysis (2022 – 2032) by Region Figure 18: Global No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Region Figure 19: Global No-Code Attractiveness by Region Figure 20: North America No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 21: Latin America No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 22: Europe No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 23: East Asia No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 24: South Asia & Pacific No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 25: Middle East & Africa No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 26: North America No-Code Value (US$ Mn), 2017-2021 Figure 27: North America No-Code Value (US$ Mn), 2022-2032 Figure 28: North America No-Code Value Share Analysis (2022 – 2032) By Solution Figure 29: North America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 30: North America No-Code Attractiveness By Solution Figure 31: North America No-Code Value Share Analysis (2022 – 2032) By Technology Figure 32: North America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 33: North America No-Code Attractiveness By Technology Figure 34: North America No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 35: North America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 36: North America No-Code Attractiveness By Enterprise size Figure 37: North America No-Code Value Share Analysis (2022 – 2032) By Industry Figure 38: North America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 39: North America No-Code Attractiveness By Industry Figure 40: North America No-Code Value Share Analysis (2022 – 2032) by Country Figure 41: North America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Country Figure 42: North America No-Code Attractiveness by Country Figure 43: U.S. No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 44: Canada No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 45: Latin America No-Code Value (US$ Mn), 2017-2021 Figure 46: Latin America No-Code Value (US$ Mn), 2022-2032 Figure 47: Latin America No-Code Value Share Analysis (2022 – 2032) By Solution Figure 48: Latin America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 49: Latin America No-Code Attractiveness By Solution Figure 50: Latin America No-Code Value Share Analysis (2022 – 2032) By Technology Figure 51: Latin America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 52: Latin America No-Code Attractiveness By Technology Figure 53: Latin America No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 54: Latin America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 55: Latin America No-Code Attractiveness By Enterprise size Figure 56: Latin America No-Code Value Share Analysis (2022 – 2032) By Industry Figure 57: Latin America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 58: Latin America No-Code Attractiveness By Industry Figure 59: Latin America No-Code Value Share Analysis (2022 – 2032) by Country Figure 60: Latin America No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Country Figure 61: Latin America No-Code Attractiveness by Country Figure 62: Brazil No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 63: Mexico No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 64: Rest of Latin America No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 65: Europe No-Code Value (US$ Mn), 2017-2021 Figure 66: Europe No-Code Value (US$ Mn), 2022-2032 Figure 67: Europe No-Code Value Share Analysis (2022 – 2032) By Solution Figure 68: Europe No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 69: Europe No-Code Attractiveness By Solution Figure 70: Europe No-Code Value Share Analysis (2022 – 2032) By Technology Figure 71: Europe No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 72: Europe No-Code Attractiveness By Technology Figure 73: Europe No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 74: Europe No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 75: Europe No-Code Attractiveness By Enterprise size Figure 76: Europe No-Code Value Share Analysis (2022 – 2032) By Industry Figure 77: Europe No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 78: Europe No-Code Attractiveness By Industry Figure 79: Europe No-Code Value Share Analysis (2022 – 2032) by Country Figure 80: Europe No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Country Figure 81: Europe No-Code Attractiveness by Country Figure 82: Germany No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 83: Italy No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 84: France No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 85: U.K. No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 86: Spain No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 87: BENELUX No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 88: Russia No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 89: Rest of Europe No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 90: South Asia & Pacific No-Code Value (US$ Mn), 2017-2021 Figure 91: South Asia & Pacific No-Code Value (US$ Mn), 2022-2032 Figure 92: South Asia & Pacific No-Code Value Share Analysis (2022 – 2032) By Solution Figure 93: South Asia & Pacific No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 94: South Asia & Pacific No-Code Attractiveness By Solution Figure 95: South Asia & Pacific No-Code Value Share Analysis (2022 – 2032) By Technology Figure 96: South Asia & Pacific No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 97: South Asia & Pacific No-Code Attractiveness By Technology Figure 98: South Asia & Pacific No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 99: South Asia & Pacific No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 100: South Asia & Pacific No-Code Attractiveness By Enterprise size Figure101: South Asia & Pacific No-Code Value Share Analysis (2022 – 2032) By Industry Figure 102: South Asia & Pacific No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 103: South Asia & Pacific No-Code Attractiveness By Industry Figure 104: South Asia & Pacific No-Code Value Share Analysis (2022 – 2032) by Country Figure 105: South Asia & Pacific No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Country Figure 106: South Asia & Pacific No-Code Attractiveness by Country Figure 107: India No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 108: ASEAN No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 109: Australia& New Zealand No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 110: Rest of South Asia & Pacific No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 111: East Asia No-Code Value (US$ Mn), 2017-2021 Figure 112: East Asia No-Code Value (US$ Mn), 2022-2032 Figure 113: East Asia No-Code Value Share Analysis (2022 – 2032) By Solution Figure 114: East Asia No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Solution Figure 115: East Asia No-Code Attractiveness By Solution Figure 116: East Asia No-Code Value Share Analysis (2022 – 2032) By Technology Figure 117: East Asia No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Technology Figure 118: East Asia No-Code Attractiveness By Technology Figure 119: East Asia No-Code Value Share Analysis (2022 – 2032) By Enterprise size Figure 120: East Asia No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Enterprise size Figure 121: East Asia No-Code Attractiveness By Enterprise size Figure 122: East Asia No-Code Value Share Analysis (2022 – 2032) By Industry Figure 123: East Asia No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) By Industry Figure 124: East Asia No-Code Attractiveness By Industry Figure 125: East Asia No-Code Value Share Analysis (2022 – 2032) by Country Figure 126: East Asia No-Code Value Y-o-Y Growth Trend Analysis (2019 – 2032) by Country Figure 127: East Asia No-Code Attractiveness by Country Figure 128: China No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 129: Japan No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 130: South Korea No-Code Absolute $ Opportunity (US$ Mn), 2017 – 2032 Figure 131: Middle East & Africa No-Code Value (US$ Mn), 2017-2021
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