Adaptive AI Market Size, Share, Opportunities, And Trends By Component (Platform, Services), By Deployment (Cloud, On-Premise), By Application (Machine Learning, Natural Language Processing (Nlp), Predictive Analysis, Personalization, Adaptive Testing, Others), By Industry (Healthcare, Finance, Education, Manufacturing, Environmental Sustainability, Others), And By Geography - Forecasts From 2024 To 2029

The Adaptive AI market is estimated to grow at a CAGR of 44.71% during the forecast period.

Adaptive AI is a type of artificial intelligence technology that learns, adapts, and constantly improves its capabilities as it encounters any changes in the data or environment. The adaptive AI platform offers multiple benefits over traditional AI solutions, such as enhancing the platform's efficiency and offering users a more personalized experience. This technology also offers efficient decision-making and problem-solving capabilities. Multiple learning approaches are used in the adaptive AI platform, including reinforcement learning, transfer learning, and neural architecture. Some of the key examples of adaptive AI applications include self-driving cars that adjust to varying road conditions, healthcare systems that update diagnoses with fresh information, and targeted advertising campaigns influenced by consumer behavior.

Adaptive AI ensures quicker and better results for any problem by learning the behavior and patterns from previous human and machine experience as well as from runtime situations. With the increasing research and development of global AI-based technology, this AI market is expected to increase significantly. The AI index report published by Stanford University in 2023 stated that corporate investment in AI increased significantly over the past few years. The total investment in the AI sector increased to US$276.14 billion in 2021 from about US$95.63 billion in 2019. The 2024 AI Index report stated that in 2023, the AI industry produced a total of 51 machine learning models, and the investment in generative AI reached US$25.2 billion in 2022. The report further stated that the total private investment in AI technology was recorded at US$95.99 billion in 2023.

What are the drivers of the adaptive AI market?

• Increase in demand for artificial intelligence.

Artificial intelligence has proven to be a powerful instrument that can drastically change businesses across many industries. However, traditional machine learning models have found it challenging to adapt to the dynamic nature of our rapidly changing environment, which has limited their capacity to handle the volume of data generated by the Internet of Things (IoT) and autonomous cars.

Adaptive AI is a significant advancement in artificial intelligence because it can continuously learn. Its models can instantly change and adapt when new data becomes available.

Thanks to adaptive AI's dynamic nature, businesses can effectively address the challenges posed by our constantly changing data landscape.

The global AI-based technology market is also expanding as a result of the rising demand for AI systems across multiple industries, with improved capability and efficient performance. Adaptive AI combines reinforcement learning with agent-based modeling to drive business growth. This unique blend enables real-time response to external changes, even in production settings. For instance, the US Army Acquisition Support Center (USAASC), in its publication, unveiled the adaptive AI testing and transparency platform, DarkStax, which is considered the future of the digital twin simulation for military applications.

• High demand for AI in financial institutions.

A major growth factor for the adaptive AI market is forecasted to be increasing usage and demand for AI-based technology in the financial industries, including banking, insurance, and stock market. Financial institutions are constantly at risk from fraudulent activity, mainly the risk of data breaches and cyber-attacks. Adaptive AI can analyze, identify, and monitor high amounts of data, trends, and anomalies in real time, which helps prevent fraudulent activities and data breaches. Furthermore, these AI systems can also offer highly customized banking experiences through the analysis of consumer data. Through customized product recommendations and individualized financial advice, adaptive AI raises client satisfaction and engagement.

• Growing popularity of adaptive games.

Increasing demand for virtual gaming, especially adaptive gaming, is also estimated to propel the global adaptive AI market. The use of advanced consoles and sensors in the gaming sector allows the system to understand the present environment of the player, which can be further utilized and adapted into the actual gameplay. These technologies allow the games to use the cloud's computer capacity to provide more advanced AI behavior, especially when it comes to gaming visuals. The World Economic Forum, in its report, stated that the global video game revenue increased significantly over a few years. The organization stated that the revenue of the casual games was recorded at US$167 billion in 2022, which surged to US$185.8 billion in 2023. Similarly, the revenue for PC games in 2022 was recorded at US$35.2 billion, which increased to US$36.9 billion in 2023, owing to the growing adoption of adaptive AI.

Geographical outlook of the adaptive AI market:

• North America is forecasted to hold a major share of the Adaptive AI Market.

In the global adaptive AI market, the North American region is forecasted to witness massive growth during the time period. The application of adaptive AI witnessed a massive increase across multiple industries, compared to traditional or generative AI, especially in countries like the US and Canada. Various North American companies, like Meta and Google, launched new and innovative solutions in the global adaptive AI market.

For instance, in July 2023, Workday, an American-based leader in enterprise cloud applications for human resources and finance, launched Workday Adaptive Planning. This EPM solution offers multiple capabilities, like financial, workforce, and operational planning. It can also help in streamlining the close and consolidation of tasks, which can help businesses to increase accuracy, efficiency, and transparency.

Major players and products of the adaptive AI market:

• Blocktech Brew is a leading company that offers various technological solutions for multiple industries, like supply chain, e-commerce, real estate, web story, insurance, and healthcare, among others. The company offers solutions like Web 3.0, DeFi, metaverse, AI, NFT, gaming, and crypto coin development.

Key developments in the adaptive AI market:

• In January 2024, Adaptive Computing Enterprises, Inc. launched its adaptive AI-as-a-Service offering to provide large enterprises with Generative AI capabilities. The end-to-end platform is launched for developing AI and ML applications. This platform has robust web browser management software, including more than 120 HPC and AI/ML application packages and tools, and streamlined GPU infrastructure.
• In January 2024, Squirrel Ai, a Chinese education technology company, unveiled the world's first adaptive learning large model spanning major subjects. The company plans to bring its AI-enabled products to international users by the end of 2024.

Adaptive AI Market Scope:

Report Metric	Details
Growth Rate	CAGR of 44.71%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Billion
Segmentation	Component Deployment Application Industry Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in Adaptive AI Market	Suffescom Solutions Markovate Leewayhertz Softura ValueCoders
Customization Scope	Free report customization with purchase

 

Adaptive AI Market is analyzed into the following segments:

• By Component
  • Platform
  • Services
• By Deployment
  • Cloud
  • On-Premises
• By Application
  • Machine Learning
  • Natural Language Processing (NLP)
  • Predictive Analysis
  • Personalization
  • Adaptive Testing
  • Others
• By Industry
  • Healthcare
  • Finance
  • Education
  • Manufacturing
  • Environmental Sustainability
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • United Kingdom
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

---

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. The Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. ADAPTIVE AI MARKET BY COMPONENT

5.1. Introduction

5.2. Platform

5.3. Services

6. ADAPTIVE AI MARKET BY DEPLOYMENT

6.1. Introduction

6.2. Cloud

6.3. On-Premises

7. ADAPTIVE AI MARKET BY APPLICATION

7.1. Introduction

7.2. Machine Learning

7.3. Natural Language Processing (NLP)

7.4. Predictive Analysis

7.5. Personalization

7.6. Adaptive Testing

7.7. Others

8. ADAPTIVE AI MARKET BY INDUSTRY

8.1. Introduction

8.2. Healthcare

8.3. Finance

8.4. Education

8.5. Manufacturing

8.6. Environmental Sustainability

8.7. Others

9. ADAPTIVE AI MARKET BY GEOGRAPHY

9.1. Introduction

9.1. North America

9.1.1. By Component

9.1.2. By Deployment

9.1.3. By Application

9.1.4. By Industry

9.1.5. By Country

9.1.5.1. United States

9.1.5.2. Canada

9.1.5.3. Others

9.2. South America

9.2.1. By Component

9.2.2. By Deployment

9.2.3. By Application

9.2.4. By Industry

9.2.5. By Country

9.2.5.1. Brazil

9.2.5.2. Argentina

9.2.5.3. Others

9.3. Europe

9.3.1. By Component

9.3.2. By Deployment

9.3.3. By Application

9.3.4. By Industry

9.3.5. By Country

9.3.5.1. Germany

9.3.5.2. United Kingdom

9.3.5.3. France

9.3.5.4. Spain

9.3.5.5. Others

9.4. Middle East and Africa

9.4.1. By Component

9.4.2. By Deployment

9.4.3. By Application

9.4.4. By Industry

9.4.5. By Country

9.4.5.1. Saudi Arabia

9.4.5.2. UAE

9.4.5.3. Israel

9.4.5.4. Others

9.5. Asia Pacific

9.5.1. By Component

9.5.2. By Deployment

9.5.3. By Application

9.5.4. By Industry

9.5.5. By Country

9.5.5.1. China

9.5.5.2. Japan

9.5.5.3. India

9.5.5.4. South Korea

9.5.5.5. Indonesia

9.5.5.6. Thailand

9.5.5.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. Suffescom Solutions

11.2. Markovate

11.3. Leewayhertz

11.4. Softura

11.5. ValueCoders

11.6. Aegis Softtech

11.7. Bacancy

11.8. NEX Softsys

11.9. Osiz Technologies

11.10. Ailoitte Technologies Pvt Ltd.

11.11. A3Logics 

11.12. Blocktech Brew

11.13. Maticz Technologies Pvt Ltd.

Suffescom Solutions 

Markovate 

Leewayhertz 

Softura 

ValueCoders 

Aegis Softtech 

Bacancy 

NEX Softsys 

Osiz Technologies 

Ailoitte Technologies Pvt Ltd. 

A3Logics  

Blocktech Brew 

Maticz Technologies Pvt Ltd.