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Asia Pacific No-code AI Platform Market Size, Share & Industry Trends Analysis Report By Component, By Technology, By Enterprise Size, By Deployment Type (On-premise and Cloud), By End-use, By Country and Growth Forecast, 2023 - 2030

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    Report

  • 157 Pages
  • July 2023
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5869028
The Asia Pacific No-code AI Platform Market should witness market growth of 26.9% CAGR during the forecast period (2023-2030).

The market is expanding due to the international adoption and quick development of AI and machine learning. Automated machine learning technologies are becoming increasingly popular because they are made for businesses without ML expertise. No-code AI platforms help decrease faults, speed up delivery, and make data science more usable, offering promising market expansion opportunities throughout the projection period. No-code AI platforms make it possible to create AI models without the help of AI specialists. It takes effort, time,and expertise to build AI models.

The time it takes to build AI models is reduced to minutes by no-code AI platforms, making it simple for businesses to integrate machine learning (ML)models into their procedures. The initial hurdles for people and businesses to start experimenting with ML andAI are reduced by no-code AI solutions. With the help of these technologies, organizations can quickly and affordably adopt AI models, giving their subject-matter experts access to cutting-edge machinery.

No-code AI systems that are tailored to the regional market in the Asia Pacific region are becoming more popular. To meet the particular needs of enterprises in this region, these platforms provide customized user language support, interfaces,and sector-specific solutions. Numerous businesses in India have incorporated AI services and solutionsfor their operational needs during the past few years. Due to India's increasing internet adoption, most businesses were forced to switch to mobile and softwareapplication platforms, regardless of their industry. Over the past few years, the country has seen significant growth in software development automation and analytics.

By 2025, the Indian government hopes to develop a software industry worth between $70 and $80 billion that will employ about 3.5 million people directly and indirectly. In order to achieve the 2025 target, the Indian IT sector would need to change from a service-focused sector to an innovation-driven one. New technologies like AI will play a significant role in this transformation. Furthermore, national efforts like Make in India, Startup India, Digital India, and Skill India have increased the relevance of technology like AI. As part of the "Artificial Intelligence for All" project, NITI Aayog sponsored a four-month worldwide hackathon in cooperation with the Singapore-based AI firm Perlin in December 2018. Hence, the region presents lucrative growth prospects for the market.

The China market dominated the Asia Pacific No-code AI Platform Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,358.5 million by 2030. The Japan market is registering a CAGR of 26.1% during (2023-2030). Additionally, The India market should witness a CAGR of 27.6% during (2023-2030).

Based on Component, the market is segmented into Platform (Without Services) and Services. Based on Technology, the market is segmented into Natural Language Processing, Computer Vision, Predictive Analytics, and Others. Based on Enterprise Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Deployment Type, the market is segmented into On-premise and Cloud. Based on End-use, the market is segmented into Telecom & IT, BFSI, Retail & E-Commerce, Healthcare & Lifesciences, Government, Energy & Utilities and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Apple, Inc., Amazon.com, Inc., Google LLC (Alphabet Inc.), Microsoft Corporation, DataRobot, Inc., QuickBase, Inc., Akkio, Inc., Caspio, Inc., Clarifai, Inc., and Levity AI GmbH.

Scope of the Study

By Component

  • Platform (Without Services)
  • Services

By Technology

  • Natural Language Processing
  • Computer Vision
  • Predictive Analytics
  • Others

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises

By Deployment Type

  • On-premise
  • Cloud

By End-use

  • Telecom & IT
  • BFSI
  • Retail & E-Commerce
  • Healthcare & Lifesciences
  • Government
  • Energy & Utilities
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Key Market Players

List of Companies Profiled in the Report:

  • Apple, Inc.
  • Amazon.com, Inc.
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • DataRobot, Inc.
  • QuickBase, Inc.
  • Akkio, Inc.
  • Caspio, Inc.
  • Clarifai, Inc.
  • Levity AI GmbH

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific No-code AI Platform Market, by Component
1.4.2 Asia Pacific No-code AI Platform Market, by Technology
1.4.3 Asia Pacific No-code AI Platform Market, by Enterprise Size
1.4.4 Asia Pacific No-code AI Platform Market, by Deployment Type
1.4.5 Asia Pacific No-code AI Platform Market, by End-use
1.4.6 Asia Pacific No-code AI Platform Market, by Country
1.5 Methodology for the research
Chapter 2. Market At a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2021
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2019, May - 2023, Jun) Leading Players
4.5 Porter’s Five Force Analysis
Chapter 5. Asia Pacific No-code AI Platform Market by Component
5.1 Asia Pacific Platform (Without Services) Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific No-code AI Platform Market by Technology
6.1 Asia Pacific Natural Language Processing Market by Country
6.2 Asia Pacific Computer Vision Market by Country
6.3 Asia Pacific Predictive Analytics Market by Country
6.4 Asia Pacific Other Technology Market by Country
Chapter 7. Asia Pacific No-code AI Platform Market by Enterprise Size
7.1 Asia Pacific Large Enterprises Market by Country
7.2 Asia Pacific Small & Medium Enterprises Market by Country
Chapter 8. Asia Pacific No-code AI Platform Market by Deployment Type
8.1 Asia Pacific On-premise Market by Country
8.2 Asia Pacific Cloud Market by Country
Chapter 9. Asia Pacific No-code AI Platform Market by End-use
9.1 Asia Pacific Telecom & IT Market by Country
9.2 Asia Pacific BFSI Market by Country
9.3 Asia Pacific Retail & E-Commerce Market by Country
9.4 Asia Pacific Healthcare & Lifesciences Market by Country
9.5 Asia Pacific Government Market by Country
9.6 Asia Pacific Energy & Utilities Market by Country
9.7 Asia Pacific Others Market by Country
Chapter 10. Asia Pacific No-code AI Platform Market by Country
10.1 China No-code AI Platform Market
10.1.1 China No-code AI Platform Market by Component
10.1.2 China No-code AI Platform Market by Technology
10.1.3 China No-code AI Platform Market by Enterprise Size
10.1.4 China No-code AI Platform Market by Deployment Type
10.1.5 China No-code AI Platform Market by End-use
10.2 Japan No-code AI Platform Market
10.2.1 Japan No-code AI Platform Market by Component
10.2.2 Japan No-code AI Platform Market by Technology
10.2.3 Japan No-code AI Platform Market by Enterprise Size
10.2.4 Japan No-code AI Platform Market by Deployment Type
10.2.5 Japan No-code AI Platform Market by End-use
10.3 India No-code AI Platform Market
10.3.1 India No-code AI Platform Market by Component
10.3.2 India No-code AI Platform Market by Technology
10.3.3 India No-code AI Platform Market by Enterprise Size
10.3.4 India No-code AI Platform Market by Deployment Type
10.3.5 India No-code AI Platform Market by End-use
10.4 South Korea No-code AI Platform Market
10.4.1 South Korea No-code AI Platform Market by Component
10.4.2 South Korea No-code AI Platform Market by Technology
10.4.3 South Korea No-code AI Platform Market by Enterprise Size
10.4.4 South Korea No-code AI Platform Market by Deployment Type
10.4.5 South Korea No-code AI Platform Market by End-use
10.5 Singapore No-code AI Platform Market
10.5.1 Singapore No-code AI Platform Market by Component
10.5.2 Singapore No-code AI Platform Market by Technology
10.5.3 Singapore No-code AI Platform Market by Enterprise Size
10.5.4 Singapore No-code AI Platform Market by Deployment Type
10.5.5 Singapore No-code AI Platform Market by End-use
10.6 Malaysia No-code AI Platform Market
10.6.1 Malaysia No-code AI Platform Market by Component
10.6.2 Malaysia No-code AI Platform Market by Technology
10.6.3 Malaysia No-code AI Platform Market by Enterprise Size
10.6.4 Malaysia No-code AI Platform Market by Deployment Type
10.6.5 Malaysia No-code AI Platform Market by End-use
10.7 Rest of Asia Pacific No-code AI Platform Market
10.7.1 Rest of Asia Pacific No-code AI Platform Market by Component
10.7.2 Rest of Asia Pacific No-code AI Platform Market by Technology
10.7.3 Rest of Asia Pacific No-code AI Platform Market by Enterprise Size
10.7.4 Rest of Asia Pacific No-code AI Platform Market by Deployment Type
10.7.5 Rest of Asia Pacific No-code AI Platform Market by End-use
Chapter 11. Company Profiles
11.1 Apple, Inc.
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Regional Analysis
11.1.4 Research & Development Expense
11.1.5 Recent strategies and developments:
11.1.5.1 Product Launches and Product Expansions:
11.1.5.2 Acquisition and Mergers:
11.1.6 SWOT Analysis
11.2 Amazon.com, Inc.
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Segmental Analysis
11.2.4 Recent strategies and developments:
11.2.4.1 Partnerships, Collaborations, and Agreements:
11.2.4.2 Product Launches and Product Expansions:
11.2.5 SWOT Analysis
11.3 Google LLC (Alphabet Inc.)
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expense
11.3.5 Recent strategies and developments:
11.3.5.1 Product Launches and Product Expansions:
11.3.6 SWOT Analysis
11.4 Microsoft Corporation
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Segmental and Regional Analysis
11.4.4 Research & Development Expenses
11.4.5 Recent strategies and developments:
11.4.5.1 Partnerships, Collaborations, and Agreements:
11.4.5.2 Product Launches and Product Expansions:
11.4.6 SWOT Analysis
11.5 DataRobot, Inc.
11.5.1 Company Overview
11.5.2 Recent strategies and developments:
11.5.2.1 Partnerships, Collaborations, and Agreements:
11.5.2.2 Product Launches and Product Expansions:
11.5.3 SWOT Analysis
11.6 QuickBase, Inc.
11.6.1 Company Overview
11.6.2 Recent strategies and developments:
11.6.2.1 Product Launches and Product Expansions:
11.6.2.2 Acquisition and Mergers:
11.6.3 SWOT Analysis
11.7 Akkio, Inc.
11.7.1 Company Overview
11.7.2 Recent strategies and developments:
11.7.2.1 Product Launches and Product Expansions:
11.7.3 SWOT Analysis
11.8 Caspio, Inc.
11.8.1 Company Overview
11.8.2 SWOT Analysis
11.9 Clarifai, Inc.
11.9.1 Company Overview
11.9.2 Recent strategies and developments:
11.9.2.1 Product Launches and Product Expansions:
11.9.3 SWOT Analysis
11.10. Levity AI GmbH
11.10.1 Company Overview
11.10.2 SWOT Analysis

Companies Mentioned

  • Apple, Inc.
  • Amazon.com, Inc.
  • Google LLC (Alphabet Inc.)
  • Microsoft Corporation
  • DataRobot, Inc.
  • QuickBase, Inc.
  • Akkio, Inc.
  • Caspio, Inc.
  • Clarifai, Inc.
  • Levity AI GmbH

Methodology

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