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Global Adaptive AI Market 2024 : Trends, Business Growth And Major Driving Factors | Cisco Systems Inc., Tech Mahindra Limited, Databricks Inc., Ness Digital Engineering, C3.ai Inc., SofturaInc

Adaptive AI Global Market Report 2024

Adaptive AI Global Market Report 2024

"The adaptive AI market size has grown exponentially in recent years. It will grow from $1.07 billion in 2023 to $1.55 billion in 2024 at a compound annual growth rate (CAGR) of 44.1%. The growth in the historic period can be attributed to growing demand for more intelligent ai systems, increasing demand for ai in various sectors, and rising adoption of self-learning platforms.

The adaptive AI market size is expected to see exponential growth in the next few years. It will grow to $6.55 billion in 2028 at a compound annual growth rate (CAGR) of 43.4%. The growth in the forecast period can be attributed to rising demand for eLearning solutions, increasing government initiatives, and increasing focus on ai-driven solutions. Major trends in the forecast period include technological advancements, product innovations, and proliferation of data from various sources.

Market Overview -
Adaptive AI refers to artificial intelligence systems or algorithms that can adjust and improve performance based on experience, feedback, or environmental changes. These systems aim to support a decision-making framework centered around making faster decisions while remaining flexible to adjust as issues arise.

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Adaptive Artificial Intelligence Market Soars With Increasing Initiatives Worldwide
The increasing government initiatives are expected to fuel the growth of the adaptive AI market going forward. Government initiatives refer to specific actions, programs, or policies undertaken by a government to address issues, achieve specific goals, or bring about positive changes in various aspects of society. Governments can provide financial support for research and development in AI, including adaptive AI, by making data and tools readily available to a wider community. For instance, in June 2023, the Ministry of Innovation, Science, and Industry, under the auspices of the Government of Canada, a Canada-based government agency, initiated the second phase of the Pan-Canadian artificial intelligence program. Further, this rollout, supported by a substantial investment exceeding US$ 443 million, underscores the government's commitment to enhance the integration and commercialization of AI across various sectors of the country's economy. Therefore, increasing government initiatives is driving the growth of the adaptive AI market.

Competitive Landscape -
Major companies operating in the adaptive ai market report are Cisco Systems Inc., Tech Mahindra Limited, Databricks Inc., Ness Digital Engineering, C3.ai Inc., SofturaInc., Leewayhertz, KITRUM, Suffescom Solutions, Slang, Brighterion Inc., Cerebri AI Inc., Apexon, OpenXcell, Arka Softwares, Risingmax, Markovate Inc., Dynam.Ai, Cygnus Software Inc., CanopyLAB A/S, Testive Inc., 5StarDesigners Ltd., Ask Technologies Inc., A.I. Global Media Limited, Numerai, Skyline AI Ltd.

Revolutionizing Call Protection With Industry's First Self-Learning Adaptive AI System
Major companies operating in the adaptive AI market are developing innovative and advanced adaptive AI systems to gain a competitive edge in the market. Adaptive AI with spam and fraud call protection features observes the patterns left by spammers in the network traffic and adapts in real-time to detect illegal and unwanted calls. For instance, in November 2021, Hiya, a US-based company that provides spam and fraud call protection, launched Adaptive AI. This is the first self-learning call protection system that hunts and shuts down illegal callers in real time. This technology evaluates calls by looking for emerging patterns such as the originating carrier and its reputation, the country where the call originated, and the network signature indicating spam risk.

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Key Segments -
The adaptive ai market covered in this report is segmented -
1) By Component: Platform, Services
2) By Technology: Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing (NLP), Computer Vision
3) By Application: Offline Learning And Adaptation, Real-time, Context-aware Adaptation, Autonomous Decision-Making, Other Applications
4) By End-User: Banking, Financial Services and Insurance(BFSI), Healthcare And Life Sciences, Aerospace And Defense, Information Technology And Telecommunications, Media And Entertainment, Retail And E-Commerce, Manufacturing, Other End Users

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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