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Adaptive AI Market - Forecasts from 2024 to 2029

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    Report

  • 142 Pages
  • October 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 5913071
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.

Adaptive AI market drivers

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.

Adaptive AI market geographical outlook

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.

Reasons for buying this report::

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Adaptive AI Market is segmented and analyzed as follows:

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

Table of Contents

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.

Companies Mentioned

  • Suffescom Solutions
  • Markovate
  • Leewayhertz
  • Softura
  • ValueCoders
  • Aegis Softtech
  • Bacancy
  • NEX Softsys
  • Osiz Technologies
  • Ailoitte Technologies Pvt Ltd.
  • A3Logics
  • Blocktech Brew
  • Maticz Technologies Pvt Ltd.

Methodology

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