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No-code AI Platform Market Outlook (2023 to 2033)

The global no-code AI platform market is projected to reach a valuation of US$ 4,094.7 million in 2023. The no-code AI platform market is expected to reach US$ 49,481.0 million by 2033 and exhibit growth at a CAGR of 28.3% from 2023 to 2033.

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 platforms may not possess the same ability as AI platforms which require programming and other expertise. But they still serve the 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.

An 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. Moreover, in-depth knowledge of AI experts helps domain experts to solve their technology-related issues. No-code AI tools are expected to 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 (2023) US$ 4,094.7 million
Projected Market Valuation (2033) US$ 49,481.0 million
Value-based CAGR (2023 to 2033) 28.3%
Collective Value Share: Top 5 Vendors Around 35%

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2018 to 2022 No-code AI Platform Demand Outlook Compared to 2023 to 2033 Forecast

The no-code AI platform market is projected to expand at 28.3% CAGR between 2023 and 2033. As per FMI, the market expanded at a CAGR of 13% in the historical period from 2018 to 2022.

Growth is attributed to the 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. Further, there has also been an increase in the adoption of IoT, edge computing, and data science solutions & services across various industries, which is expected to aid growth.

Urgent Need to Automate Tasks in Organizations to Drive Sales of No-code AI Platforms

Artificial intelligence and machine learning have been implemented in numerous industries and departments such as the human resource department of various companies over the past few years. Further, these technologies are mainly used for automating numerous tasks and developing programs & models to obtain real-time insights about several aspects of a company.

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 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.

Country-wise Insights

What is the United States No-code AI Platform Market Outlook?

Key Players in the United States are Developing AI without Coding

Country The United States
Market Share % (2022) 19.3%

Several companies in the United States provide novel AI solutions and services for building mobile & desktop apps for businesses, automating workflows, and automated communication. Furthermore, many large-scale technology companies such as Neuralink, IBM, Microsoft, and Google are implementing AI for multiple applications in the United States.

Why is India Showcasing Significant Growth in the No-code AI Platform Industry?

Companies in India are inclined toward Low Code Machine Learning

Country India
Market CAGR % (2023 to 2033) 32.3%

Several enterprises in India have implemented AI solutions and services for their business purposes over the past few years. 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. Further, AI implementation has also witnessed growth in the education and government sectors. Owing to the aforementioned factors, India’s no-code AI platform market is expected to showcase a high CAGR of 32.3% in the forecast period.

How is Japan’s No-code AI Platform Market Faring?

Government in Japan to Deploy No-code Machine Learning in Educational Institutions

Country Japan
Market Share % (2022) 4.3%

Due to the growing aging population in Japan, the workforce in Japan is experiencing a decline. However, several companies in the country have started offering AI solutions and services to enhance workflow. AI is also being developed by financial and chemical manufacturers in Japan, as well as government institutions. The government is focusing on equipping educational institutions with AI platforms. Thus, Japan’s no-code AI platform market is likely to expand at a CAGR of 33.8% in the evaluation period.

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Category-wise Insights

Which is the Leading Solution Segment in the Global Market?

Demand for No-code AI Tools to Surge among Organizations

Segment No-code AI Tools
Market Share % (2022) 64.3%

The no-code AI tools segment is projected to generate a global market share of more than 64.3% 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

Segment Natural Language Processing
Market Share % (2022) 43.3%

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

AI is being implemented in the healthcare sector to improve healthcare services and operations. Implementation of AI includes algorithms to identify patients’ health conditions, several operations such as booking appointments & filling prescriptions, and patient identification to increase the speed of tasks.

AI implementation can help healthcare workers automate or accelerate tasks that are time-consuming, simple, and require high effort. Also, AI can 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 them with the clinical workflow.

Competitive Landscape

No-code AI platform developers are striving to provide several solution development tools to non-programmers. A few others are launching their platforms equipped with various features for multiple operations or 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 million in seed funding for its no-code AI platform. Also, 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 United States 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 the 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. Additionally, 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 minimal 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 toward 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.

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Scope of the Report

Attribute Details
Estimated Market Size (2023) US$ 4,094.7 million
Projected Market Valuation (2033) US$ 49,481.0 million
Value-based CAGR (2023 to 2033) 28.3%
Forecast Period 2023 to 2033
Historical Data Available for 2018 to 2022
Market Analysis Value (US$ million)
Key Regions Covered North America, Latin America, Europe, South Asia & Pacific, East Asia, and the Middle East & Africa
Key Countries Covered The United States, Canada, Germany, The United Kingdom, France, Italy, Spain, Russia, China, Japan, South Korea, India, Australia & New Zealand, GCC Countries, and South Africa
Key Segments Covered Solution, Technology, Enterprise Size, Industry, and Region
Key Companies Profiled Clarifai Inc; Caspio Inc; Google; Amazon; Microsoft; Akkio Inc; Apteo; Runway; QuickBase Inc; AgilePoint Inc; MonkeyLearn; Levity; Intersect Labs; Apple; DataRobot Inc
Report Coverage Market Forecast, Company Share Analysis, Competition Intelligence, Drivers, Restraints, Opportunities and Threats 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

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
  • The Middle East & Africa

Frequently Asked Questions

Which country is set to register exponential growth in the No-code AI Platform Market?

The United States may witness significant growth in the No-code AI Platform Market.

What drives sales of No-code AI Platforms?

The increasing demand for AI solutions and the growing popularity of no-code development are expected to drive sales of No-code AI Platforms.

What key trends are driving the No-code AI Platform Market?

The growing adoption of cloud computing and the increasing availability of open-source AI tools are driving the No-code AI Platform Market.

How was the historical performance of the No-code AI Platform Market?

The market recorded a CAGR of 13% in 2022.

What opportunities await for the market players?

Substantial investment in research and development and the development of new no-code AI platforms may provide growth prospects for the market players.

Table of Content

1. Executive Summary

    1.1. Global Market Outlook

    1.2. Demand-side Trends

    1.3. Supply-side Trends

    1.4. Technology Roadmap Analysis

    1.5. Analysis and Recommendations

2. Market Overview

    2.1. Market Coverage / Taxonomy

    2.2. Market Definition / Scope / Limitations

3. Market Background

    3.1. Market Dynamics

        3.1.1. Drivers

        3.1.2. Restraints

        3.1.3. Opportunity

        3.1.4. Trends

    3.2. Scenario Forecast

        3.2.1. Demand in Optimistic Scenario

        3.2.2. Demand in Likely Scenario

        3.2.3. Demand in Conservative Scenario

    3.3. Opportunity Map Analysis

    3.4. Investment Feasibility Matrix

    3.5. PESTLE and Porter’s Analysis

    3.6. Regulatory Landscape

        3.6.1. By Key Regions

        3.6.2. By Key Countries

    3.7. Regional Parent Market Outlook

4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Solution

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033

        5.3.1. No-code AI tools

            5.3.1.1. Cloud-Based

            5.3.1.2. On-Premises

        5.3.2. Services

            5.3.2.1. Consulting Services

            5.3.2.2. Support and Maintenance Services

            5.3.2.3. Training and Education

            5.3.2.4. Software Development

            5.3.2.5. Managed Services

    5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Technology

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By Technology, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Technology, 2023 to 2033

        6.3.1. Natural Language Processing (NLP)

        6.3.2. Computer Vision

        6.3.3. Predictive Analytics

    6.4. Y-o-Y Growth Trend Analysis By Technology, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By Technology, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022

    7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033

        7.3.1. Small and Mid-Sized Enterprises (SMEs)

        7.3.2. Large Enterprises

    7.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022

    7.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry

    8.1. Introduction / Key Findings

    8.2. Historical Market Size Value (US$ Million) Analysis By Industry, 2018 to 2022

    8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry, 2023 to 2033

        8.3.1. BFSI

        8.3.2. IT & Telecom

        8.3.3. Retail

        8.3.4. Healthcare

        8.3.5. Manufacturing

        8.3.6. Government

        8.3.7. Education

        8.3.8. Others

    8.4. Y-o-Y Growth Trend Analysis By Industry, 2018 to 2022

    8.5. Absolute $ Opportunity Analysis By Industry, 2023 to 2033

9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    9.1. Introduction

    9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        9.3.1. North America

        9.3.2. Latin America

        9.3.3. Western Europe

        9.3.4. Eastern Europe

        9.3.5. South Asia and Pacific

        9.3.6. East Asia

        9.3.7. Middle East and Africa

    9.4. Market Attractiveness Analysis By Region

10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. USA

            10.2.1.2. Canada

        10.2.2. By Solution

        10.2.3. By Technology

        10.2.4. By Enterprise Size

        10.2.5. By Industry

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Solution

        10.3.3. By Technology

        10.3.4. By Enterprise Size

        10.3.5. By Industry

    10.4. Key Takeaways

11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. Brazil

            11.2.1.2. Mexico

            11.2.1.3. Rest of Latin America

        11.2.2. By Solution

        11.2.3. By Technology

        11.2.4. By Enterprise Size

        11.2.5. By Industry

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Solution

        11.3.3. By Technology

        11.3.4. By Enterprise Size

        11.3.5. By Industry

    11.4. Key Takeaways

12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. Germany

            12.2.1.2. UK

            12.2.1.3. France

            12.2.1.4. Spain

            12.2.1.5. Italy

            12.2.1.6. Rest of Western Europe

        12.2.2. By Solution

        12.2.3. By Technology

        12.2.4. By Enterprise Size

        12.2.5. By Industry

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Solution

        12.3.3. By Technology

        12.3.4. By Enterprise Size

        12.3.5. By Industry

    12.4. Key Takeaways

13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. Poland

            13.2.1.2. Russia

            13.2.1.3. Czech Republic

            13.2.1.4. Romania

            13.2.1.5. Rest of Eastern Europe

        13.2.2. By Solution

        13.2.3. By Technology

        13.2.4. By Enterprise Size

        13.2.5. By Industry

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Solution

        13.3.3. By Technology

        13.3.4. By Enterprise Size

        13.3.5. By Industry

    13.4. Key Takeaways

14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. India

            14.2.1.2. Bangladesh

            14.2.1.3. Australia

            14.2.1.4. New Zealand

            14.2.1.5. Rest of South Asia and Pacific

        14.2.2. By Solution

        14.2.3. By Technology

        14.2.4. By Enterprise Size

        14.2.5. By Industry

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Solution

        14.3.3. By Technology

        14.3.4. By Enterprise Size

        14.3.5. By Industry

    14.4. Key Takeaways

15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        15.2.1. By Country

            15.2.1.1. China

            15.2.1.2. Japan

            15.2.1.3. South Korea

        15.2.2. By Solution

        15.2.3. By Technology

        15.2.4. By Enterprise Size

        15.2.5. By Industry

    15.3. Market Attractiveness Analysis

        15.3.1. By Country

        15.3.2. By Solution

        15.3.3. By Technology

        15.3.4. By Enterprise Size

        15.3.5. By Industry

    15.4. Key Takeaways

16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        16.2.1. By Country

            16.2.1.1. GCC Countries

            16.2.1.2. South Africa

            16.2.1.3. Israel

            16.2.1.4. Rest of MEA

        16.2.2. By Solution

        16.2.3. By Technology

        16.2.4. By Enterprise Size

        16.2.5. By Industry

    16.3. Market Attractiveness Analysis

        16.3.1. By Country

        16.3.2. By Solution

        16.3.3. By Technology

        16.3.4. By Enterprise Size

        16.3.5. By Industry

    16.4. Key Takeaways

17. Key Countries Market Analysis

    17.1. USA

        17.1.1. Pricing Analysis

        17.1.2. Market Share Analysis, 2022

            17.1.2.1. By Solution

            17.1.2.2. By Technology

            17.1.2.3. By Enterprise Size

            17.1.2.4. By Industry

    17.2. Canada

        17.2.1. Pricing Analysis

        17.2.2. Market Share Analysis, 2022

            17.2.2.1. By Solution

            17.2.2.2. By Technology

            17.2.2.3. By Enterprise Size

            17.2.2.4. By Industry

    17.3. Brazil

        17.3.1. Pricing Analysis

        17.3.2. Market Share Analysis, 2022

            17.3.2.1. By Solution

            17.3.2.2. By Technology

            17.3.2.3. By Enterprise Size

            17.3.2.4. By Industry

    17.4. Mexico

        17.4.1. Pricing Analysis

        17.4.2. Market Share Analysis, 2022

            17.4.2.1. By Solution

            17.4.2.2. By Technology

            17.4.2.3. By Enterprise Size

            17.4.2.4. By Industry

    17.5. Germany

        17.5.1. Pricing Analysis

        17.5.2. Market Share Analysis, 2022

            17.5.2.1. By Solution

            17.5.2.2. By Technology

            17.5.2.3. By Enterprise Size

            17.5.2.4. By Industry

    17.6. UK

        17.6.1. Pricing Analysis

        17.6.2. Market Share Analysis, 2022

            17.6.2.1. By Solution

            17.6.2.2. By Technology

            17.6.2.3. By Enterprise Size

            17.6.2.4. By Industry

    17.7. France

        17.7.1. Pricing Analysis

        17.7.2. Market Share Analysis, 2022

            17.7.2.1. By Solution

            17.7.2.2. By Technology

            17.7.2.3. By Enterprise Size

            17.7.2.4. By Industry

    17.8. Spain

        17.8.1. Pricing Analysis

        17.8.2. Market Share Analysis, 2022

            17.8.2.1. By Solution

            17.8.2.2. By Technology

            17.8.2.3. By Enterprise Size

            17.8.2.4. By Industry

    17.9. Italy

        17.9.1. Pricing Analysis

        17.9.2. Market Share Analysis, 2022

            17.9.2.1. By Solution

            17.9.2.2. By Technology

            17.9.2.3. By Enterprise Size

            17.9.2.4. By Industry

    17.10. Poland

        17.10.1. Pricing Analysis

        17.10.2. Market Share Analysis, 2022

            17.10.2.1. By Solution

            17.10.2.2. By Technology

            17.10.2.3. By Enterprise Size

            17.10.2.4. By Industry

    17.11. Russia

        17.11.1. Pricing Analysis

        17.11.2. Market Share Analysis, 2022

            17.11.2.1. By Solution

            17.11.2.2. By Technology

            17.11.2.3. By Enterprise Size

            17.11.2.4. By Industry

    17.12. Czech Republic

        17.12.1. Pricing Analysis

        17.12.2. Market Share Analysis, 2022

            17.12.2.1. By Solution

            17.12.2.2. By Technology

            17.12.2.3. By Enterprise Size

            17.12.2.4. By Industry

    17.13. Romania

        17.13.1. Pricing Analysis

        17.13.2. Market Share Analysis, 2022

            17.13.2.1. By Solution

            17.13.2.2. By Technology

            17.13.2.3. By Enterprise Size

            17.13.2.4. By Industry

    17.14. India

        17.14.1. Pricing Analysis

        17.14.2. Market Share Analysis, 2022

            17.14.2.1. By Solution

            17.14.2.2. By Technology

            17.14.2.3. By Enterprise Size

            17.14.2.4. By Industry

    17.15. Bangladesh

        17.15.1. Pricing Analysis

        17.15.2. Market Share Analysis, 2022

            17.15.2.1. By Solution

            17.15.2.2. By Technology

            17.15.2.3. By Enterprise Size

            17.15.2.4. By Industry

    17.16. Australia

        17.16.1. Pricing Analysis

        17.16.2. Market Share Analysis, 2022

            17.16.2.1. By Solution

            17.16.2.2. By Technology

            17.16.2.3. By Enterprise Size

            17.16.2.4. By Industry

    17.17. New Zealand

        17.17.1. Pricing Analysis

        17.17.2. Market Share Analysis, 2022

            17.17.2.1. By Solution

            17.17.2.2. By Technology

            17.17.2.3. By Enterprise Size

            17.17.2.4. By Industry

    17.18. China

        17.18.1. Pricing Analysis

        17.18.2. Market Share Analysis, 2022

            17.18.2.1. By Solution

            17.18.2.2. By Technology

            17.18.2.3. By Enterprise Size

            17.18.2.4. By Industry

    17.19. Japan

        17.19.1. Pricing Analysis

        17.19.2. Market Share Analysis, 2022

            17.19.2.1. By Solution

            17.19.2.2. By Technology

            17.19.2.3. By Enterprise Size

            17.19.2.4. By Industry

    17.20. South Korea

        17.20.1. Pricing Analysis

        17.20.2. Market Share Analysis, 2022

            17.20.2.1. By Solution

            17.20.2.2. By Technology

            17.20.2.3. By Enterprise Size

            17.20.2.4. By Industry

    17.21. GCC Countries

        17.21.1. Pricing Analysis

        17.21.2. Market Share Analysis, 2022

            17.21.2.1. By Solution

            17.21.2.2. By Technology

            17.21.2.3. By Enterprise Size

            17.21.2.4. By Industry

    17.22. South Africa

        17.22.1. Pricing Analysis

        17.22.2. Market Share Analysis, 2022

            17.22.2.1. By Solution

            17.22.2.2. By Technology

            17.22.2.3. By Enterprise Size

            17.22.2.4. By Industry

    17.23. Israel

        17.23.1. Pricing Analysis

        17.23.2. Market Share Analysis, 2022

            17.23.2.1. By Solution

            17.23.2.2. By Technology

            17.23.2.3. By Enterprise Size

            17.23.2.4. By Industry

18. Market Structure Analysis

    18.1. Competition Dashboard

    18.2. Competition Benchmarking

    18.3. Market Share Analysis of Top Players

        18.3.1. By Regional

        18.3.2. By Solution

        18.3.3. By Technology

        18.3.4. By Enterprise Size

        18.3.5. By Industry

19. Competition Analysis

    19.1. Competition Deep Dive

        19.1.1. Clarifai Inc

            19.1.1.1. Overview

            19.1.1.2. Product Portfolio

            19.1.1.3. Profitability by Market Segments

            19.1.1.4. Sales Footprint

            19.1.1.5. Strategy Overview

                19.1.1.5.1. Marketing Strategy

        19.1.2. Caspio Inc

            19.1.2.1. Overview

            19.1.2.2. Product Portfolio

            19.1.2.3. Profitability by Market Segments

            19.1.2.4. Sales Footprint

            19.1.2.5. Strategy Overview

                19.1.2.5.1. Marketing Strategy

        19.1.3. Google

            19.1.3.1. Overview

            19.1.3.2. Product Portfolio

            19.1.3.3. Profitability by Market Segments

            19.1.3.4. Sales Footprint

            19.1.3.5. Strategy Overview

                19.1.3.5.1. Marketing Strategy

        19.1.4. Amazon

            19.1.4.1. Overview

            19.1.4.2. Product Portfolio

            19.1.4.3. Profitability by Market Segments

            19.1.4.4. Sales Footprint

            19.1.4.5. Strategy Overview

                19.1.4.5.1. Marketing Strategy

        19.1.5. Microsoft

            19.1.5.1. Overview

            19.1.5.2. Product Portfolio

            19.1.5.3. Profitability by Market Segments

            19.1.5.4. Sales Footprint

            19.1.5.5. Strategy Overview

                19.1.5.5.1. Marketing Strategy

        19.1.6. Akkio Inc

            19.1.6.1. Overview

            19.1.6.2. Product Portfolio

            19.1.6.3. Profitability by Market Segments

            19.1.6.4. Sales Footprint

            19.1.6.5. Strategy Overview

                19.1.6.5.1. Marketing Strategy

        19.1.7. Apteo

            19.1.7.1. Overview

            19.1.7.2. Product Portfolio

            19.1.7.3. Profitability by Market Segments

            19.1.7.4. Sales Footprint

            19.1.7.5. Strategy Overview

                19.1.7.5.1. Marketing Strategy

        19.1.8. Runway

            19.1.8.1. Overview

            19.1.8.2. Product Portfolio

            19.1.8.3. Profitability by Market Segments

            19.1.8.4. Sales Footprint

            19.1.8.5. Strategy Overview

                19.1.8.5.1. Marketing Strategy

        19.1.9. QuickBase Inc

            19.1.9.1. Overview

            19.1.9.2. Product Portfolio

            19.1.9.3. Profitability by Market Segments

            19.1.9.4. Sales Footprint

            19.1.9.5. Strategy Overview

                19.1.9.5.1. Marketing Strategy

        19.1.10. AgilePoint Inc

            19.1.10.1. Overview

            19.1.10.2. Product Portfolio

            19.1.10.3. Profitability by Market Segments

            19.1.10.4. Sales Footprint

            19.1.10.5. Strategy Overview

                19.1.10.5.1. Marketing Strategy

        19.1.11. MonkeyLearn

            19.1.11.1. Overview

            19.1.11.2. Product Portfolio

            19.1.11.3. Profitability by Market Segments

            19.1.11.4. Sales Footprint

            19.1.11.5. Strategy Overview

                19.1.11.5.1. Marketing Strategy

        19.1.12. Levity

            19.1.12.1. Overview

            19.1.12.2. Product Portfolio

            19.1.12.3. Profitability by Market Segments

            19.1.12.4. Sales Footprint

            19.1.12.5. Strategy Overview

                19.1.12.5.1. Marketing Strategy

        19.1.13. Intersect Labs

            19.1.13.1. Overview

            19.1.13.2. Product Portfolio

            19.1.13.3. Profitability by Market Segments

            19.1.13.4. Sales Footprint

            19.1.13.5. Strategy Overview

                19.1.13.5.1. Marketing Strategy

        19.1.14. Apple

            19.1.14.1. Overview

            19.1.14.2. Product Portfolio

            19.1.14.3. Profitability by Market Segments

            19.1.14.4. Sales Footprint

            19.1.14.5. Strategy Overview

                19.1.14.5.1. Marketing Strategy

        19.1.15. DataRobot Inc

            19.1.15.1. Overview

            19.1.15.2. Product Portfolio

            19.1.15.3. Profitability by Market Segments

            19.1.15.4. Sales Footprint

            19.1.15.5. Strategy Overview

                19.1.15.5.1. Marketing Strategy

20. Assumptions & Acronyms Used

21. Research Methodology

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