세계의 신경망 소프트웨어 시장 보고서(2025년)
Neural Network Software Global Market Report 2025
상품코드 : 1824298
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

세계의 신경망 소프트웨어 시장 규모는 앞으로 수년간 비약적인 성장이 예상됩니다. 2029년까지 CAGR 26.4%로 확대되어 1,054억 8,000만 달러로 성장할 것으로 예상됩니다. 예측 기간의 성장은 엣지 컴퓨팅의 통합, IoT의 지수적 성장, 설명 가능한 AI(XAI), 자율 시스템의 확대, 지속적인 모델 개선에 기인합니다. 예측 기간의 주요 동향으로는 딥러닝의 비약적 성장, 자동 머신러닝(AutoML), 전이 학습, 사전 학습된 모델, 자연 언어 처리(NLP)의 진보, 신경 네트워크 아키텍처의 다양성 등을 들 수 있습니다.

향후 5년간의 성장률 26.4%라는 예측은 지난 예측으로부터 0.1% 소폭 감소를 반영하고 있습니다. 이 감소는 주로 미국과 다른 국가 간의 관세의 영향 때문입니다. 관세 부과는 캐나다와 이스라엘에서 수입되는 딥러닝 플랫폼 및 신경 영상 분석 도구에 대한 접근을 제한하고 진단 알고리즘의 지연과 계산 연구 비용 증가를 초래할 수 있기 때문에 미국의 의료 인공지능(AI) 개발에 큰 과제가 될 수 있습니다. 또한 상호 관세와 무역 긴장 증가와 제한으로 인한 세계 경제와 무역에 대한 악영향으로 인해 그 영향이 더 광범위하게 가해질 수 있습니다.

디지털화에 대한 수요 증가는 향후 신경망 소프트웨어 시장의 확대를 이끌 것으로 예측됩니다. 디지털화에는 물리적 종이 문서와 파일을 디지털 형식으로 변환하는 것이 포함됩니다. 디지털화를 채택하는 기업과 산업이 증가함에 따라 방대한 양의 데이터가 생성됩니다. 이 데이터 가용성 증가는 고성능 컴퓨팅 시스템의 발전과 함께 신경망 소프트웨어의 광범위한 채택을 촉진합니다. 예를 들어, 유럽위원회가 매년 발표하는 유럽의 디지털 퍼포먼스를 평가하는 종합지수인 '디지털경제사회지수(DESI)'의 2022년 12월 보고서에 따르면 중소기업의 55%가 업무에 있어서 중간 정도의 디지털 숙련도를 나타내고, 38%가 정보 공유를 위해 전자 플랫폼을 활용하고 있는 것으로 나타났습니다. 따라서 디지털화에 대한 수요 증가는 신경망 소프트웨어 시장의 성장을 뒷받침하고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 전략

제36장 부록

JHS
영문 목차

영문목차

Neural network software, a facet of artificial intelligence, enables computers to process data akin to the human brain. It facilitates the design, training, and testing of neural networks for diverse applications, including pattern recognition, prediction, and decision-making.

Key types of neural network software encompass data mining and archiving, analytical tools, optimization platforms, visualization software, and other specialized variants. Data mining involves scrutinizing vast datasets, leveraging neural network software to replicate complex input-output relationships, identify data patterns, or efficiently manage and gather information from company databases. This software includes components such as artificial and deep neural networks, various services, platforms, and other elements catering to end-users across sectors such as BFSI, healthcare, telecom, transportation, and various other industries.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a significant impact on the healthcare sector, especially in the supply of essential medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are grappling with higher costs for imported surgical tools, imaging systems, and consumables like syringes and catheters, many of which have limited domestic substitutes. These escalating expenses are putting pressure on healthcare budgets, prompting some providers to delay equipment upgrades or pass increased costs on to patients. Furthermore, tariffs on raw materials and components are disrupting the manufacturing of vital drugs and devices, leading to supply chain delays. In response, the industry is adopting diversified sourcing strategies, expanding local production where feasible, and pushing for tariff exemptions on critical medical products.

The neural network software market research report is one of a series of new reports from The Business Research Company that provides neural network software market statistics, including global market size, regional shares, competitors with a neural network software market share, detailed neural network software market segments, market trends and opportunities, and any further data you may need to thrive in the neural network software industry. This neural network software market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The neural network software market size has grown exponentially in recent years. It will grow from $33.19 billion in 2024 to $41.37 billion in 2025 at a compound annual growth rate (CAGR) of 24.7%. The growth in the historic period can be attributed to growing big data analytics, rise of artificial intelligence (AI), increasing awareness and education, advancements in hardware, emergence of deep learning, industry-specific applications.

The neural network software market size is expected to see exponential growth in the next few years. It will grow to $105.48 billion in 2029 at a compound annual growth rate (CAGR) of 26.4%. The growth in the forecast period can be attributed to edge computing integration, exponential growth of iot, explainable ai (XAI), expansion of autonomous systems, continuous model improvement. Major trends in the forecast period include exponential growth in deep learning, automated machine learning (AutoML), transfer learning and pre-trained models, advancements in natural language processing (NLP), diversity in neural network architectures.

The forecast of 26.4% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. The imposition of tariffs may pose a significant challenge for U.S. medical Artificial intelligence(AI) development by restricting access to deep learning platforms and neuroimaging analysis tools imported from Canada and Israel, potentially delaying diagnostic algorithms and increasing computational research costs. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing demand for digitalization is expected to drive the expansion of the neural network software market in the future. Digitalization involves converting physical paper documents and files into digital formats. As more companies and industries embrace digitalization, a substantial amount of data is generated. This increase in data availability, coupled with advancements in high-performance computing systems, facilitates the broader adoption of neural network software. For example, a December 2022 report from the Digital Economy and Society Index (DESI), an annual composite index published by the European Commission that assesses Europe's digital performance, revealed that 55% of small and medium enterprises (SMEs) demonstrated a moderate level of digital proficiency in their operations, while 38% utilized electronic platforms for information sharing. Thus, the rising demand for digitalization is fueling growth in the neural network software market.

The increasing adoption of connected smart devices is anticipated to drive growth in the neural network software market in the coming years. Connected smart devices are physical objects equipped with sensors, software, and network connectivity that enable them to gather and share data for improved functionality and remote control. Neural network software plays a crucial role in these devices by providing advanced machine learning capabilities, allowing them to analyze data patterns and make intelligent decisions for enhanced user experiences. For instance, in 2023, Statistics Canada, a government agency in Canada, reported a rise in the use of Internet-connected smart devices, with usage increasing from 47% in 2022 to 50% in 2023. Among these devices, smart speakers emerged as the most popular, with a 35% adoption rate. Consequently, the growing prevalence of connected smart devices is propelling the neural network software market.

Technological advancements remain a pivotal trend shaping the neural network software market. Companies within this sector are embracing innovative technologies to solidify their market positions. Notably, in March 2023, Open AI introduced GPT-4, a natural language processing model leveraging deep neural network architecture capable of processing image and text inputs to generate human-level text outputs. GPT-4's remarkable performance spans various academic and professional benchmarks while demonstrating problem-solving capabilities across diverse domains such as mathematics, programming, law, and medicine.

Major players in the neural network software market are actively developing groundbreaking technologies, including on-chip neural networks (NetGNT), to offer advanced functionalities such as traffic analysis. Broadcom Inc.'s November 2023 launch of Trident 5-X12 stands as a prime example, introducing the first switch integrated with an on-chip neural network (NetGNT). This innovation enables machine learning capabilities directly on the semiconductor chip, enhancing network efficiency by identifying traffic patterns across the chip. The Trident 5-X12 boasts a bandwidth of 16.0 Terabits/second, double that of its predecessor, and supports 800G ports for direct connection to Tomahawk 5. It's a power-efficient solution for data centers, consuming 25% less power per 400G port while delivering enhanced telemetry capabilities and maintaining compatibility with legacy APIs.

In August 2023, Advanced Micro Devices, Inc. (AMD), a U.S.-based fabless semiconductor company, acquired Mipsology SAS for an undisclosed amount. This acquisition is intended to strengthen AMD's competitive position against rivals like Nvidia by enhancing its AI software stack, which is essential for both training and inference tasks in neural networks. By leveraging Mipsology's expertise, AMD aims to broaden its offerings in the neural network software market, enabling more efficient deployment and improved performance of AI applications across various industries, including autonomous vehicles and smart manufacturing. Mipsology SAS is a France-based AI software company recognized for its innovative solutions in deep learning inference, particularly through its flagship product.

Major companies operating in the neural network software market include Google LLC, Microsoft Corporation, Intel Corporation, IBM Corporation, Alyuda Research LLC, Neural Technologies Limited, Starmind International AG, Ward Systems Group Inc., Afiniti Ltd., NVIDIA Corporation, Oracle Corporation, Qualcomm Technologies Inc., GMDH Inc., Amazon.com Inc., Meta Platforms Inc., Cognex Corporation, BrainChip Holdings Ltd., Skymind Inc., Sentient Technologies, Vicarious, General Vision Inc., Darktrace Limited, Ayasdi Inc., Numenta Inc., Preferred Networks Inc., AIBrain AB, Fluid AI Inc., Clarifai Inc., Squirrel AI Inc., Darwin AI

Asia-Pacific was the largest region in the Neural network software market in 2024. Asia-Pacific is expected to be the fastest-growing region in the global neural network software market report during the forecast period. The regions covered in the neural network software market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the neural network software market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The neural network software market includes revenues earned by entities through providing neural network software services, including knowledge discovery in data, medical diagnosis, targeted marketing, and chemical compound identification. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The neural network software market consists of sales of standalone software, cloud-based software, and open-source software. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Neural Network Software Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on neural network software market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for neural network software ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The neural network software market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Neural Network Software Market Characteristics

3. Neural Network Software Market Trends And Strategies

4. Neural Network Software Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Neural Network Software Growth Analysis And Strategic Analysis Framework

6. Neural Network Software Market Segmentation

7. Neural Network Software Market Regional And Country Analysis

8. Asia-Pacific Neural Network Software Market

9. China Neural Network Software Market

10. India Neural Network Software Market

11. Japan Neural Network Software Market

12. Australia Neural Network Software Market

13. Indonesia Neural Network Software Market

14. South Korea Neural Network Software Market

15. Western Europe Neural Network Software Market

16. UK Neural Network Software Market

17. Germany Neural Network Software Market

18. France Neural Network Software Market

19. Italy Neural Network Software Market

20. Spain Neural Network Software Market

21. Eastern Europe Neural Network Software Market

22. Russia Neural Network Software Market

23. North America Neural Network Software Market

24. USA Neural Network Software Market

25. Canada Neural Network Software Market

26. South America Neural Network Software Market

27. Brazil Neural Network Software Market

28. Middle East Neural Network Software Market

29. Africa Neural Network Software Market

30. Neural Network Software Market Competitive Landscape And Company Profiles

31. Neural Network Software Market Other Major And Innovative Companies

32. Global Neural Network Software Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Neural Network Software Market

34. Recent Developments In The Neural Network Software Market

35. Neural Network Software Market High Potential Countries, Segments and Strategies

36. Appendix

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