Machine Learning Chip Market Report 2024: Strategies And Recent Developments | Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc

The Business Research Company has updated its global market reports, featuring the latest data for 2024 and projections up to 2164

The Business Research Company offers in-depth market insights through Machine Learning Chip Global Market Report 2024, providing businesses with a competitive advantage by thoroughly analyzing the market structure, including estimates for numerous segments and sub-segments.

Market Size And Growth Forecast:
The machine learning as a service market size has grown exponentially in recent years. It will grow from $8.18 billion in 2023 to $11.21 billion in 2024 at a compound annual growth rate (CAGR) of 37.0%. The growth in the historic period can be attributed to advancements in machine learning algorithms, increased data availability, rise in adoption of cloud computing, business need for predictive analytics, demand for automated machine learning.

The machine learning as a service market size is expected to see exponential growth in the next few years. It will grow to $38.94 billion in 2028 at a compound annual growth rate (CAGR) of 36.5%. The growth in the forecast period can be attributed to industry-specific solutions, emergence of explainable ai, focus on edge computing, expansion of natural language processing (nlp), ai integration with internet of things (iot). Major trends in the forecast period include global adoption of industry 4.0, integration with big data technologies, explainable ai (xai) integration, federated learning for privacy preservation, vertical-specific solutions.

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Market Segmentation:
The machine learning chip market covered in this report is segmented -

1) By Chip Type: Graphics Processing Unit (GPU), Application-Specific Processor (ASIC), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), Other Chips
2) By Technology: System-on-Chip (SoC), System-in-Package, Multi-chip Module, Other Technologies
3) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), IT And Telecom, Media And Advertising, Retail, Healthcare, Automotive, Other Industry Verticals

Major Driver - Surge In Cybersecurity Threats Fuels Demand For Machine Learning Chips
The rise in cyberattacks is expected to propel the growth of the machine learning chip market going forward. A cyberattack refers to any offensive maneuver that targets computer information systems, networks, infrastructures, or personal devices with the intent to collect, disrupt, deny, degrade, or destroy information system resources or information. Machine learning chips are helpful in cybersecurity by enabling the use of machine learning algorithms to constantly evaluate data, identify patterns, and make accurate predictions to mitigate potential cyber-attacks. For instance, in February 2023, according to the Australian Cyber Security Centre, an Australia-based cyber security agency, the cybercrime reports received in 2022 were 76,000, up from 13% from the previous year. Furthermore, in June 2022, according to the Anti-Phishing Working Group, a US-based organization, the APWG recorded a total of 1,025,968 phishing attacks in the first quarter of 2022, representing a 15% rise from the fourth quarter of 2021, when 888,585 attacks were reported. Therefore, the rise in cyberattacks is driving the growth of the machine learning chip market.

Competitive Landscape:
Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings

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Top Trend - Innovation In Advanced System-On-Chips (SoCs) To Gain Competitive Advantage
Major companies operating in the machine learning chip market are focused on developing innovative products, such as advanced system-on-chips (SoCs), to gain a competitive edge in the market. A system-on-chip (SoC) refers to an integrated circuit (IC) that incorporates all the components of a complete electronic system onto a single chip. For instance, in January 2022, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit for the edge, aiming to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the IoT edge. It is a new wireless SoC that includes an AI and machine learning accelerator, wireless radio, ultra-lower-power capabilities, and support for IP-based connectivity protocols, such as Matter and Zigbee.

The Table Of Content For The Market Report Include:
1. Executive Summary
2. Machine Learning Chip Market Characteristics
3. Machine Learning Chip Market Trends And Strategies
4. Machine Learning Chip Market - Macro Economic Scenario
5. Machine Learning Chip Market Size And Growth
…..
27. Machine Learning Chip Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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