The No-code AI Platform Market was valued at USD 3.7 Billion in 2023 and is expected to reach USD 53.1 Billion by 2032, growing at a CAGR of 34.44% from 2024-2032.
The No-code AI Platform Market is witnessing significant adoption across industries, with a growing rate in sectors like healthcare, finance, and retail. User proficiency levels indicate a rising trend among non-technical professionals leveraging these platforms for AI model creation. Seamless integration with cloud services is enhancing accessibility and scalability, driving widespread deployment. Additionally, efficiency gains in model deployment are reducing development time, enabling faster AI-driven decision-making across enterprises.
Drivers
No-code AI platforms are gaining traction as they enable non-technical users to build and deploy AI models, driving business innovation and automation.
The rising demand for non-technical users to leverage AI features propels the adoption of no-code AI platforms. These solutions essentially remove the hassle of traditional AI development, allowing businesses to create, deploy, and manage AI Models — without needing to know how to code No-code AI is fast becoming the go to tool for organizations in varying industries — ranging from healthcare, and finance to retail and more — to further digital transformation. Moreover, increasing demand for cost-efficient AI by small and medium-sized enterprises also drives the market's growth. As AI drives its way into every corner of business, the desire for no-code AI — that is, very easy to use, nice user interfaces — just keeps increasing, providing one of the most important keys in innovation and automation.
Restraints
These platforms often lack deep customization and struggle with scalability, making them less suitable for complex AI applications and large-scale enterprise needs.
While no-code AI platforms have advantages, they are often limited in customization or scalability, making them unsuitable for complex AI applications. These platforms generally come with pre-built templates and limited choices for model fine-tuning, which may not be good enough for businesses that have highly-specialized AI needs. Scalability related quandaries stem from large volume datasets and high-performance computing requirements, wherein traditional AI development approaches provide added flexibility. No-code AI solutions may fail to gain traction in enterprises that need advanced customization, want to integrate them with existing legacy systems or need to train their advanced AI models. Such restrictions may decelerate market growth, especially within the enterprise sector producing the need for large and dynamically issuing AI capabilities.
Opportunity
Cloud-based no-code AI solutions offer scalability, flexibility, and seamless integration, enhancing accessibility and expanding adoption across industries.
The rise of cloud computing and AI-as-a-service will play an important role in the growth of the no-code AI platform market. No-code AI solutions powered by a cloud infrastructure bring scalability, remote access, and integration with existing enterprise systems. It eliminates the need for complex infrastructural investments to leverage AI capabilities for businesses. Moreover, with the development of AIaaS models, AIaaS empowers enterprises by giving them access to pre-trained AI models or APIs, which transforms the entire development process into a much simpler form. With the trend of Agile and steady rising requirement of cost-effective solutions among the Enterprises, Enterprises will continue to adopt cloud-based no-code AI, which will open the tap of new revenue streams to the cloud service providers and will act as a windfall for the Vendors, aiding in establishing No-code AI as an industry-wide standard shortly.
Challenges
Concerns over data privacy, regulatory compliance, and reliance on third-party cloud providers pose significant barriers to widespread adoption.
Another major problem in the path of no-code AI platform growth is the data security and regulatory compliance. Sectors like healthcare and finance manage sensitive data with a substantial necessity to operate with strict regulations associated with the data. Many no-code AI platforms make use of third-party cloud providers, raising issues of data confidentiality, unwanted access, and breaches. Finally, if your IA, for example, on the backend, is AI-driven, you might not have ideal control processes and that might put you at risk when it comes to compliance with industry-specific regulations. This is why businesses should only implement these solutions after assessing security protocols, encryption technologies, and adherence to compliance standards. To boost trust and adoption in the market, it is a thing the market needs to address.
By Component
The no-code AI platforms segment dominated the market and accounted for significant revenue share in 2023. No-code AI platforms have become trendy as they democratize AI development and allow people and organizations to automatically exploit AI capabilities without a huge knowledge in the technical side of AI.
Services segment is expected to register the fastest CAGR during the forecast period. professional service, consulting support & maintenance, services, training & education all no-code AI services assist in the accelerated growth of organizations by empowering organizations to build, deploy and manage machine learning models at scale.
By Technology
In 2023, the natural language processing segment dominated the market and accounted for the largest revenue share of the market. NLP can allow users to build applications in no-code AI platforms and have it understood and respond to user inputs naturally. This could enable creating virtual assistants, chatbots and language-based interfaces at scale and without coding.
The computer vision segment is expected to register the fastest CAGR during the forecast period, since it facilitates the understanding and processing of visual data, such as images and videos. Integration of computer vision with no-code AI platforms can allow users to develop applications with capabilities to interpret image or video content and derive valuable insights from it. This enables various tasks such as image recognition, object detection, and image-based search in less than a few lines of code.
By Deployment
The On-premises segment dominated the market and accounted for 57% of revenue share in 2023. The reason attributed to this is the variety of advantages provided by on-premises deployment, including high data security and safety. Enterprises still want to keep the data and models under their data center, so that they are secured from external threats. Similarly, on-premises infrastructure gives enterprises greater control over their machine-learning pipeline, resulting in greater efficiency and cost savings.
The cloud segment is projected to register the fastest CAGR during the forecast period. Cloud services offer the centralized storage of, and ability to access, data and applications from anywhere there exists an internet connection. Cloud storage allows users to store data, models, and applications in the cloud, making them easily accessible to users and collaborators. This encourages more easy collaboration, allowing for updates and versions from several members of the team in real time.
By Enterprise Size
The large enterprises segment dominated the market and accounted for significant revenue share in 2023 due to the increasing adoption of AI technology and data science among large enterprises to provide quantitative insight into their processes. In large organizations, each department employs no-code AI to automate processes that tie into various stages of CRM and ERP. No-code AI platforms help in removing the pain points existing between the processes of corporations to enhance operational efficiency, reduce costs, and create more reliable results.
The SMEs segment is expected to grow at the fastest CAGR over the forecast period. The increasing awareness of no-code AI platforms among SMEs enables them to grow and attain a competitive edge in their industry over time. Typical traditional AI development requires many initial investments, such as working on the talent and building infrastructure. No-code AI platforms prove to be budget-friendly solutions since they do not require too much coding and do not mainly rely on highly skilled experts.
By Vertical
In 2023, the IT and telecom segment dominated the market with the highest revenue share. IT departments can automate many operational tasks using no-code AI platforms. They help automate monitoring of infrastructure, log analysis, and incident management. Using AI functionalities, IT teams can identify irregularities, foresee possible problems, and take proactive measures to address them, allowing them to increase system reliability, decrease downtime, and present a much better IT service.
The BFSI segment is anticipated to contribute the fastest CAGR during the forecast period. To improve their customer experience, BFSI organizations can develop AI-enabled chatbots and Virtual Assistants. For instance, these chatbots manage customer inquiries, offer personalized suggestions, and enable self-service choices. Further, no-code AI platforms enable BFSI organizations to leverage natural language processing capabilities to train these chatbots for efficient customer engagement and support.
In 2023, North America dominated the market and held the largest revenue share of 41% of the no-code AI platform market, which is attributed to the strong research and development capabilities of AI in the developed economies, the Research institutes of North America, and some renowned AI organizations in this area. Growing investment in innovative technology to enhance the consumer experience and processes in the corporate set-up is forecasted to create lucrative growth opportunities for the North America goods and services market.
Asia Pacific is expected to register the fastest CAGR during the forecast period. There is no shortage of technology start-ups in the region, with the likes of China, India, Singapore, South Korea all breeding successful start-up ecosystems. Most of these start-ups have an AI focus and are looking for tools to create AI applications that are available as a service. These platforms provide a neat solution for these start-ups that allows them to build AI applications without spending a ton of money and time on technical resources and expertise.
The major key players along with their products are
Google LLC – Vertex AI
Microsoft Corporation – Power Platform AI Builder
Amazon Web Services (AWS) – Amazon SageMaker Canvas
IBM Corporation – Watson Studio
Salesforce, Inc. – Einstein AI
SAP SE – SAP AI Core
DataRobot, Inc. – DataRobot AI Cloud
Akkio Inc. – Akkio AI
Peltarion (acquired by AI Sweden) – Peltarion Platform
Clarifai, Inc. – Clarifai AI Platform
H2O.ai – H2O Driverless AI
Lobe (Microsoft) – Lobe.ai
RapidMiner (Altair) – RapidMiner AI Hub
Obviously AI – Obviously AI Platform
C3 AI – C3 AI Ex Machina
October 2024 – Microsoft: Introduced autonomous AI agents, termed "AI employees," capable of handling tasks such as customer queries and identifying sales leads.
December 2024 – Asana: Reported a 26% surge in shares following the successful launch of AI Studio, a tool facilitating workflow design using AI agents, which has seen significant demand.
November 2024 – Baidu: Launched new AI applications, including enhanced text-to-image generation technology called I-RAG and a no-code app builder named Miaoda, as part of its shift towards commercializing large language model applications.
|
Report Attributes |
Details |
|
Market Size in 2023 |
USD 3.7 Billion |
|
Market Size by 2032 |
USD 53.1 Billion |
|
CAGR |
CAGR of 34.44% From 2024 to 2032 |
|
Base Year |
2023 |
|
Forecast Period |
2024-2032 |
|
Historical Data |
2020-2022 |
|
Report Scope & Coverage |
Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
|
Key Segments |
• By Component (No-code AI Platforms, Services). |
|
Regional Analysis/Coverage |
North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
|
Company Profiles |
Google LLC, Microsoft Corporation, Amazon Web Services (AWS), IBM Corporation, Salesforce, Inc., SAP SE, DataRobot, Inc., Akkio Inc., Peltarion, Clarifai, Inc., H2O.ai, Lobe, RapidMiner, Obviously AI, C3 AI. |
Ans - The No-code AI Platform Market was valued at USD 3.7 Billion in 2023 and is expected to reach USD 53.1 Billion by 2032
Ans- The CAGR of the No-code AI Platform Market during the forecast period is 34.44% from 2024-2032.
Ans- Asia-Pacific is expected to register the fastest CAGR during the forecast period.
Ans- No-code AI platforms are gaining traction as they enable non-technical users to build and deploy AI models, driving business innovation and automation.
Ans- Concerns over data privacy, regulatory compliance, and reliance on third-party cloud providers pose significant barriers to widespread adoption.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rate by Industry, 2023
5.2 User Proficiency Levels, 2023
5.3 Integration with Cloud Services, 2023
5.4 Efficiency Gains in Model Deployment, 2023
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. No-code AI Platform Market Segmentation, By Component
7.1 Chapter Overview
7.2 No-code AI Platforms
7.2.1 No-code AI Platforms Market Trends Analysis (2020-2032)
7.2.2 No-code AI Platforms Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Services
7.3.1 Services Market Trends Analysis (2020-2032)
7.3.2 Services Market Size Estimates and Forecasts to 2032 (USD Billion)
8. No-code AI Platform Market Segmentation, By Technology
8.1 Chapter Overview
8.2 Natural Language Processing (NLP)
8.2.1 Natural Language Processing (NLP) Market Trends Analysis (2020-2032)
8.2.2 Natural Language Processing (NLP) Market Size Estimates and Forecasts To 2032 (USD Billion)
8.3 Computer Vision
8.3.1 Computer Vision Market Trends Analysis (2020-2032)
8.3.2 Computer Vision Market Size Estimates and Forecasts To 2032 (USD Billion)
8.4 Predictive Analytics
8.4.1 Predictive Analytics Market Trends Analysis (2020-2032)
8.4.2 Predictive Analytics Market Size Estimates and Forecasts To 2032 (USD Billion)
8.5 Others
8.5.1 Others Market Trends Analysis (2020-2032)
8.5.2 Others Market Size Estimates and Forecasts To 2032 (USD Billion)
9. No-code AI Platform Market Segmentation, By Deployment
9.1 Chapter Overview
9.2 Cloud
9.2.1 Cloud Market Trends Analysis (2020-2032)
9.2.2 Cloud Market Size Estimates and Forecasts To 2032 (USD Billion)
9.3 On-premises
9.3.1 On-premises Market Trends Analysis (2020-2032)
9.3.2 On-premises Market Size Estimates and Forecasts To 2032 (USD Billion)
10. No-code AI Platform Market Segmentation, By Enterprise Size
10.1 Chapter Overview
10.2 SMEs
10.2.1 SMEs Market Trends Analysis (2020-2032)
10.2.2 SMEs Market Size Estimates and Forecasts To 2032 (USD Billion)
10.3 Large Enterprises
10.3.1 Large Enterprises Market Trends Analysis (2020-2032)
10.3.2 Large Enterprises Market Size Estimates and Forecasts To 2032 (USD Billion)
11. No-code AI Platform Market Segmentation, By Vertical
11.1 Chapter Overview
11.2 BFSI
11.2.1 BFSI Market Trends Analysis (2020-2032)
11.2.2 BFSI Market Size Estimates and Forecasts To 2032 (USD Billion)
11.3 Healthcare
11.3.1 Healthcare Market Trends Analysis (2020-2032)
11.3.2 Healthcare Market Size Estimates and Forecasts To 2032 (USD Billion)
11.4 Retail & E-Commerce
11.4.1 Retail & E-Commerce Market Trends Analysis (2020-2032)
11.4.2 Retail & E-Commerce Market Size Estimates and Forecasts To 2032 (USD Billion)
11.5 IT & Telecom
11.5.1 IT & Telecom Market Trends Analysis (2020-2032)
11.5.2 IT & Telecom Market Size Estimates and Forecasts To 2032 (USD Billion)
11.6 Energy & Utilities
11.6.1 Energy & Utilities Market Trends Analysis (2020-2032)
11.6.2 Energy & Utilities Market Size Estimates and Forecasts To 2032 (USD Billion)
11.7 Government & Public Sector
11.7.1 Government & Public Sector Market Trends Analysis (2020-2032)
11.7.2 Government & Public Sector Market Size Estimates and Forecasts To 2032 (USD Billion)
11.8 Others
11.8.1 Others Market Trends Analysis (2020-2032)
11.8.2 Others Market Size Estimates and Forecasts To 2032 (USD Billion)
12. Regional Analysis
12.1 Chapter Overview
12.2 North America
12.2.1 Trends Analysis
12.2.2 North America No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.2.3 North America No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.2.4 North America No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.2.5 North America No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.2.6 North America No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.2.7 North America No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.2.8 USA
12.2.8.1 USA No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.2.8.2 USA No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.2.8.3 USA No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.2.8.4 USA No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.2.8.5 USA No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.2.9 Canada
12.2.9.1 Canada No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.2.9.2 Canada No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.2.9.3 Canada No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.2.9.4 Canada No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.2.9.5 Canada No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.2.10 Mexico
12.2.10.1 Mexico No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.2.10.2 Mexico No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.2.10.3 Mexico No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.2.10.4 Mexico No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.2.10.5 Mexico No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Trends Analysis
12.3.1.2 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.3.1.3 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.4 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.5 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.6 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.7 Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.1.8 Poland
12.3.1.8.1 Poland No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.8.2 Poland No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.8.3 Poland No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.8.4 Poland No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.8.5 Poland No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.1.9 Romania
12.3.1.9.1 Romania No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.9.2 Romania No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.9.3 Romania No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.9.4 Romania No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.9.5 Romania No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.1.10 Hungary
12.3.1.10.1 Hungary No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.10.2 Hungary No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.10.3 Hungary No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.10.4 Hungary No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.10.5 Hungary No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.1.11 Turkey
12.3.1.11.1 Turkey No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.11.2 Turkey No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.11.3 Turkey No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.11.4 Turkey No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.11.5 Turkey No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.1.12 Rest Of Eastern Europe
12.3.1.12.1 Rest Of Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.1.12.2 Rest Of Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.1.12.3 Rest Of Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.1.12.4 Rest Of Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.1.12.5 Rest Of Eastern Europe No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2 Western Europe
12.3.2.1 Trends Analysis
12.3.2.2 Western Europe No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.3.2.3 Western Europe No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.4 Western Europe No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.5 Western Europe No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.6 Western Europe No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.7 Western Europe No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.8 Germany
12.3.2.8.1 Germany No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.8.2 Germany No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.8.3 Germany No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.8.4 Germany No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.8.5 Germany No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.9 France
12.3.2.9.1 France No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.9.2 France No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.9.3 France No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.9.4 France No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.9.5 France No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.10 UK
12.3.2.10.1 UK No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.10.2 UK No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.10.3 UK No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.10.4 UK No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.10.5 UK No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.11 Italy
12.3.2.11.1 Italy No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.11.2 Italy No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.11.3 Italy No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.11.4 Italy No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.11.5 Italy No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.12 Spain
12.3.2.12.1 Spain No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.12.2 Spain No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.12.3 Spain No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.12.4 Spain No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.12.5 Spain No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.13 Netherlands
12.3.2.13.1 Netherlands No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.13.2 Netherlands No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.13.3 Netherlands No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.13.4 Netherlands No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.13.5 Netherlands No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.14 Switzerland
12.3.2.14.1 Switzerland No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.14.2 Switzerland No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.14.3 Switzerland No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.14.4 Switzerland No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.12.5 Switzerland No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.15 Austria
12.3.2.15.1 Austria No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.15.2 Austria No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.15.3 Austria No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.15.4 Austria No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.15.5 Austria No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.3.2.16 Rest Of Western Europe
12.3.2.16.1 Rest Of Western Europe No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.3.2.16.2 Rest Of Western Europe No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.3.2.16.3 Rest Of Western Europe No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.3.2.16.4 Rest Of Western Europe No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.3.2.16.5 Rest Of Western Europe No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4 Asia Pacific
12.4.1 Trends Analysis
12.4.2 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.4.3 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.4 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.5 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.6 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.7 Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.8 China
12.4.8.1 China No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.8.2 China No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.8.3 China No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.8.4 China No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.8.5 China No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.9 India
12.4.9.1 India No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.9.2 India No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.9.3 India No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.9.4 India No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.9.5 India No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.10 Japan
12.4.10.1 Japan No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.10.2 Japan No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.10.3 Japan No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.10.4 Japan No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.10.5 Japan No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.11 South Korea
12.4.11.1 South Korea No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.11.2 South Korea No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.11.3 South Korea No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.11.4 South Korea No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.11.5 South Korea No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.12 Vietnam
12.4.12.1 Vietnam No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.12.2 Vietnam No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.12.3 Vietnam No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.12.4 Vietnam No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.12.5 Vietnam No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.13 Singapore
12.4.13.1 Singapore No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.13.2 Singapore No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.13.3 Singapore No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.13.4 Singapore No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.13.5 Singapore No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.14 Australia
12.4.14.1 Australia No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.14.2 Australia No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.14.3 Australia No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.14.4 Australia No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.14.5 Australia No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.4.15 Rest Of Asia Pacific
12.4.15.1 Rest Of Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.4.15.2 Rest Of Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.4.15.3 Rest Of Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.4.15.4 Rest Of Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.4.15.5 Rest Of Asia Pacific No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5 Middle East and Africa
12.5.1 Middle East
12.5.1.1 Trends Analysis
12.5.1.2 Middle East No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.5.1.3 Middle East No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.4 Middle East No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.5 Middle East No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.6 Middle East No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.7 Middle East No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.1.8 UAE
12.5.1.8.1 UAE No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.8.2 UAE No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.8.3 UAE No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.8.4 UAE No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.8.5 UAE No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.1.9 Egypt
12.5.1.9.1 Egypt No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.9.2 Egypt No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.9.3 Egypt No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.9.4 Egypt No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.9.5 Egypt No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.1.10 Saudi Arabia
12.5.1.10.1 Saudi Arabia No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.10.2 Saudi Arabia No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.10.3 Saudi Arabia No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.10.4 Saudi Arabia No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.10.5 Saudi Arabia No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.1.11 Qatar
12.5.1.11.1 Qatar No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.11.2 Qatar No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.11.3 Qatar No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.11.4 Qatar No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.11.5 Qatar No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.1.12 Rest Of Middle East
12.5.1.12.1 Rest Of Middle East No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.1.12.2 Rest Of Middle East No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.1.12.3 Rest Of Middle East No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.1.12.4 Rest Of Middle East No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.1.12.5 Rest Of Middle East No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.2 Africa
12.5.2.1 Trends Analysis
12.5.2.2 Africa No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.5.2.3 Africa No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.2.4 Africa No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.2.5 Africa No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.2.6 Africa No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.2.7 Africa No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.2.8 South Africa
12.5.2.8.1 South Africa No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.2.8.2 South Africa No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.2.8.3 South Africa No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.2.8.4 South Africa No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.2.8.5 South Africa No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.2.9 Nigeria
12.5.2.9.1 Nigeria No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.2.9.2 Nigeria No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.2.9.3 Nigeria No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.2.9.4 Nigeria No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.2.9.5 Nigeria No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.5.2.10 Rest Of Africa
12.5.2.10.1 Rest Of Africa No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.5.2.10.2 Rest Of Africa No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.5.2.10.3 Rest Of Africa No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.5.2.10.4 Rest Of Africa No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.5.2.10.5 Rest Of Africa No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.6 Latin America
12.6.1 Trends Analysis
12.6.2 Latin America No-code AI Platform Market Estimates and Forecasts, By Country (2020-2032) (USD Billion)
12.6.3 Latin America No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.6.4 Latin America No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.6.5 Latin America No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.6.6 Latin America No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.6.7 Latin America No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.6.8 Brazil
12.6.8.1 Brazil No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.6.8.2 Brazil No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.6.8.3 Brazil No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.6.8.4 Brazil No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.6.8.5 Brazil No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.6.9 Argentina
12.6.9.1 Argentina No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.6.9.2 Argentina No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.6.9.3 Argentina No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.6.9.4 Argentina No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.6.9.5 Argentina No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.6.10 Colombia
12.6.10.1 Colombia No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.6.10.2 Colombia No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.6.10.3 Colombia No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.6.10.4 Colombia No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.6.10.5 Colombia No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
12.6.11 Rest Of Latin America
12.6.11.1 Rest Of Latin America No-code AI Platform Market Estimates and Forecasts, By Component (2020-2032) (USD Billion)
12.6.11.2 Rest Of Latin America No-code AI Platform Market Estimates and Forecasts, By Technology (2020-2032) (USD Billion)
12.6.11.3 Rest Of Latin America No-code AI Platform Market Estimates and Forecasts, By Deployment (2020-2032) (USD Billion)
12.6.11.4 Rest Of Latin America No-code AI Platform Market Estimates and Forecasts, By Enterprise Size (2020-2032) (USD Billion)
12.6.11.5 Rest Of Latin America No-code AI Platform Market Estimates and Forecasts, By Vertical (2020-2032) (USD Billion)
13. Company Profiles
10.1 Google LLC
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 Microsoft Corporation
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Amazon Web Services (AWS)
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Salesforce, Inc.
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 SAP SE
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 DataRobot, Inc.
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 Akkio Inc
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 Clarifai, Inc.
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 H2O.ai
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
14. Use Cases and Best Practices
15. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Component
No-code AI Platforms
Services
By Deployment
On-premise
Cloud
By Technology
Natural Language Processing (NLP)
Computer Vision
Predictive Analytics
Others
By Enterprise Size
SMEs
Large Enterprises
By Vertical
BFSI
Healthcare
Retail & E-Commerce
IT & Telecom
Energy & Utilities
Government & Public Sector
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
Private 5G Network Market was valued at USD 2.03 billion in 2023 and is expected to reach USD 61.1 billion by 2032, growing at a CAGR of 46.0% over 2024-2032.
The Online Gambling & Betting Market was valued at USD 81.86 Billion in 2023 and is expected to reach USD 218.02 Billion by 2032, growing at a CAGR of 11.54% over the forecast period 2024-2032.
Education ERP Market was valued at USD 16.56 billion in 2023 and is expected to reach USD 75.84 billion by 2032, growing at a CAGR of 18.46% from 2024-2032.
Workforce Analytics Market size was valued at USD 2.01 billion in 2023 and is expected to reach USD 6.9 billion by 2032, at a CAGR of 14.7% over 2024-2032.
The Cybersecurity Mesh Market Size was valued at USD 2.68 Billion in 2023 and will reach USD 6.63 Billion by 2032 and grow at a CAGR of 10.7% by 2032.
Business Email Compromise Market was valued at USD 1.35 billion in 2023 and is expected to reach USD 7.24 billion by 2032, growing at a CAGR of 20.53% from 2024-2032.
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