Global Artificial Intelligence Software System Market Growth (Status and Outlook) 2024-2030
The Artificial Intelligence Software System market was valued at USD 22.11 Billion in 2023, with a growing trend due to the increasing demand for automation and data analysis in va
- Bonafide Trust
- 31-05-2024
- Pages : 79
- Figures : 79
- Tables : 155
- Region : Global
- Category : IT & Telecommunications
- Internet, E-Commerce & Software
According to our publisher’s latest study, the global Artificial Intelligence Software System market size was valued at US$ 22110 million in 2023. With growing demand in downstream market, the Artificial Intelligence Software System is forecast to a readjusted size of US$ 160000 million by 2030 with a CAGR of 32.7% during review period.
The research report highlights the growth potential of the global Artificial Intelligence Software System market. Artificial Intelligence Software System are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Artificial Intelligence Software System. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Artificial Intelligence Software System market.
Artificial intelligence (AI, also machine intelligence, MI) is intelligence displayed by machines, in contrast with the natural intelligence (NI) displayed by humans and other animals. Artificial intelligence software system is Software that is capable of intelligent behavior. In creating intelligent software, this involves simulating a number of capabilities, including reasoning, learning, problem solving, perception, and knowledge representation.
Global Artificial Intelligence Software System key players include IBM, Google, Megvii Technology, etc. Global top three manufacturers hold a share over 50%.
China is the largest market, with a share over 25%, followed by Europe, and United States, both have a share over 45 percent.
In terms of product, On-Premise is the largest segment, with a share about 80%. And in terms of application, the largest application is Text Processing, followed by Voice Processing, Image Processing.
Key Features:
The report on Artificial Intelligence Software System market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Artificial Intelligence Software System market. It may include historical data, market segmentation by Type (e.g., On-Premise, Cloud-based), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Artificial Intelligence Software System market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Market Drivers:
Advancements in algorithms and machine learning techniques: The development of advanced algorithms and machine learning techniques has enabled AI systems to learn from data and improve their performance over time, making them more accurate and efficient.
Cost reduction associated with autonomous AI: The use of AI systems can reduce costs by automating repetitive tasks, improving decision-making, and increasing productivity.
Growing demand for autonomous artificial intelligence: The increasing demand for autonomous AI systems in various industries, such as healthcare, finance, and transportation, is driving the growth of the market.
Development of edge AI: The development of edge AI, which enables AI processing at the edge of the network, is expected to drive the growth of the market.
Market Challenges:
Need for vast amounts of data: AI systems require large amounts of data to train and improve their performance, which can be a challenge for organizations that do not have access to such data.
Data quality and bias: The quality and bias of the data used to train AI systems can impact their performance and accuracy, which can be a challenge for organizations that do not have a robust data management strategy.
Cybersecurity risks: AI systems are vulnerable to cyber attacks, which can compromise their performance and security.
Lack of skilled professionals: The lack of skilled professionals with expertise in AI and machine learning is a challenge for organizations that want to implement AI systems.
High initial investment: The high initial investment required to implement AI systems can be a challenge for small and medium-sized enterprises (SMEs).
Ethical concerns: The use of AI systems raises ethical concerns, such as bias, transparency, and accountability, which can be a challenge for organizations that want to implement AI systems.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Artificial Intelligence Software System market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Artificial Intelligence Software System industry. This include advancements in Artificial Intelligence Software System technology, Artificial Intelligence Software System new entrants, Artificial Intelligence Software System new investment, and other innovations that are shaping the future of Artificial Intelligence Software System.
The global Artificial Intelligence (AI) software market is witnessing rapid technological advancements, driven by the increasing adoption of AI across various industries. Here are some key technological developments in the global AI software market:
Machine Learning (ML) and Deep Learning (DL): ML and DL are the most popular AI technologies, enabling machines to learn from data and improve their performance over time. These technologies are being used in various applications, including natural language processing, computer vision, and predictive analytics.
Natural Language Processing (NLP): NLP is a subfield of AI that focuses on enabling computers to understand, interpret, and generate human language. NLP is being used in applications such as chatbots, virtual assistants, and language translation.
Computer Vision: Computer vision is a subfield of AI that focuses on enabling computers to interpret and understand visual data from images and videos. Computer vision is being used in applications such as facial recognition, object detection, and image classification.
Artificial General Intelligence (AGI): AGI is a type of AI that aims to create machines that can perform any intellectual task that a human can. AGI is still in its infancy, but it has the potential to revolutionize various industries, including healthcare, finance, and education.
Neural Networks: Neural networks are a type of ML algorithm inspired by the structure and function of the human brain. Neural networks are being used in applications such as image recognition, speech recognition, and natural language processing.
Cloud Computing: Cloud computing is a model of delivering computing services over the internet, where resources such as servers, storage, and applications are provided as a service. Cloud computing is being used to support the increasing demand for AI and ML applications.
Edge Computing: Edge computing is a distributed computing model that brings data processing closer to the source of the data, reducing latency and improving real-time processing. Edge computing is being used in applications such as IoT, autonomous vehicles, and smart cities.
Quantum Computing: Quantum computing is a new paradigm of computing that uses the principles of quantum mechanics to perform calculations that are beyond the capabilities of classical computers. Quantum computing has the potential to revolutionize various industries, including finance, healthcare, and materials science.
Blockchain and AI: Blockchain technology is being used to secure and decentralize AI applications, ensuring data integrity and transparency. Blockchain and AI are being used in applications such as supply chain management, healthcare, and finance.
5G and AI: 5G networks are being designed to support the increasing demand for AI and ML applications, providing faster data speeds, lower latency, and greater connectivity. 5G and AI are being used in applications such as autonomous vehicles, smart cities, and remote healthcare.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Artificial Intelligence Software System market. It includes factors influencing customer ' purchasing decisions, preferences for Artificial Intelligence Software System product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Artificial Intelligence Software System market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Artificial Intelligence Software System market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Artificial Intelligence Software System market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Artificial Intelligence Software System industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Artificial Intelligence Software System market.
Recommendations:
Invest in AI software solutions: The global AI software market is expected to grow rapidly, reaching around 126 billion U.S. dollars by 2025. Investing in AI software solutions can provide a significant return on investment.
Focus on industry verticals: The AI market is expected to grow across various industry verticals such as automotive, healthcare, retail, finance, and manufacturing. Focusing on these verticals can provide opportunities for growth and innovation.
Improve data quality and accuracy: Addressing data quality and accuracy challenges is crucial for building trust in AI systems. Improving data quality and accuracy can enhance the effectiveness of AI applications.
Develop responsible AI deployment: Ensuring responsible AI deployment is essential for building trust and ensuring the safe and ethical use of AI systems.
Opportunities:
Growing demand for AI-based solutions: The demand for AI-based solutions is growing across various industries, providing opportunities for companies to develop and deploy AI-based solutions.
Advancements in AI technologies: Advancements in AI technologies such as machine learning, natural language processing, and computer vision are providing opportunities for innovation and growth.
Increasing adoption of cloud-based AI solutions: The increasing adoption of cloud-based AI solutions is providing opportunities for companies to develop and deploy cloud-based AI solutions.
Growing importance of AI in healthcare: The growing importance of AI in healthcare is providing opportunities for companies to develop and deploy AI-based healthcare solutions.
Market Segmentation:
Artificial Intelligence Software System market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
On-Premise
Cloud-based
Segmentation by application
Voice Processing
Text Processing
Image Processing
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Google
Baidu
IBM
Microsoft
SAP
Intel
Salesforce
Brighterion
KITT.AI
IFlyTek
Megvii Technology
Albert Technologies
H2O.ai
Brainasoft
Yseop
Ipsoft
NanoRep(LogMeIn)
Ada Support
Astute Solutions
IDEAL.com
Wipro
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Table of Contents
- 1 Scope of the Report
- 1.1 Market Introduction
- 1.2 Years Considered
- 1.3 Research Objectives
- 1.4 Market Research Methodology
- 1.5 Research Process and Data Source
- 1.6 Economic Indicators
- 1.7 Currency Considered
- 1.8 Market Estimation Caveats
- 2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Artificial Intelligence Software System Market Size 2019-2030
- 2.1.2 Artificial Intelligence Software System Market Size CAGR by Region 2019 VS 2023 VS 2030
- 2.2 Artificial Intelligence Software System Segment by Type
- 2.2.1 On-Premise
- 2.2.2 Cloud-based
- 2.3 Artificial Intelligence Software System Market Size by Type
- 2.3.1 Artificial Intelligence Software System Market Size CAGR by Type (2019 VS 2023 VS 2030)
- 2.3.2 Global Artificial Intelligence Software System Market Size Market Share by Type (2019-2024)
- 2.4 Artificial Intelligence Software System Segment by Application
- 2.4.1 Voice Processing
- 2.4.2 Text Processing
- 2.4.3 Image Processing
- 2.5 Artificial Intelligence Software System Market Size by Application
- 2.5.1 Artificial Intelligence Software System Market Size CAGR by Application (2019 VS 2023 VS 2030)
- 2.5.2 Global Artificial Intelligence Software System Market Size Market Share by Application (2019-2024)
- 3 Artificial Intelligence Software System Market Size by Player
- 3.1 Artificial Intelligence Software System Market Size Market Share by Players
- 3.1.1 Global Artificial Intelligence Software System Revenue by Players (2019-2024)
- 3.1.2 Global Artificial Intelligence Software System Revenue Market Share by Players (2019-2024)
- 3.2 Global Artificial Intelligence Software System Key Players Head office and Products Offered
- 3.3 Market Concentration Rate Analysis
- 3.3.1 Competition Landscape Analysis
- 3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
- 3.4 New Products and Potential Entrants
- 3.5 Mergers & Acquisitions, Expansion
- 4 Artificial Intelligence Software System by Regions
- 4.1 Artificial Intelligence Software System Market Size by Regions (2019-2024)
- 4.2 Americas Artificial Intelligence Software System Market Size Growth (2019-2024)
- 4.3 APAC Artificial Intelligence Software System Market Size Growth (2019-2024)
- 4.4 Europe Artificial Intelligence Software System Market Size Growth (2019-2024)
- 4.5 Middle East & Africa Artificial Intelligence Software System Market Size Growth (2019-2024)
- 5 Americas
- 5.1 Americas Artificial Intelligence Software System Market Size by Country (2019-2024)
- 5.2 Americas Artificial Intelligence Software System Market Size by Type (2019-2024)
- 5.3 Americas Artificial Intelligence Software System Market Size by Application (2019-2024)
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Brazil
- 6 APAC
- 6.1 APAC Artificial Intelligence Software System Market Size by Region (2019-2024)
- 6.2 APAC Artificial Intelligence Software System Market Size by Type (2019-2024)
- 6.3 APAC Artificial Intelligence Software System Market Size by Application (2019-2024)
- 6.4 China
- 6.5 Japan
- 6.6 Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
- 7 Europe
- 7.1 Europe Artificial Intelligence Software System by Country (2019-2024)
- 7.2 Europe Artificial Intelligence Software System Market Size by Type (2019-2024)
- 7.3 Europe Artificial Intelligence Software System Market Size by Application (2019-2024)
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
- 8 Middle East & Africa
- 8.1 Middle East & Africa Artificial Intelligence Software System by Region (2019-2024)
- 8.2 Middle East & Africa Artificial Intelligence Software System Market Size by Type (2019-2024)
- 8.3 Middle East & Africa Artificial Intelligence Software System Market Size by Application (2019-2024)
- 8.4 Egypt
- 8.5 South Africa
- 8.6 Israel
- 8.7 Turkey
- 8.8 GCC Countries
- 9 Market Drivers, Challenges and Trends
- 9.1 Market Drivers & Growth Opportunities
- 9.2 Market Challenges & Risks
- 9.3 Industry Trends
- 10 Global Artificial Intelligence Software System Market Forecast
- 10.1 Global Artificial Intelligence Software System Forecast by Regions (2025-2030)
- 10.1.1 Global Artificial Intelligence Software System Forecast by Regions (2025-2030)
- 10.1.2 Americas Artificial Intelligence Software System Forecast
- 10.1.3 APAC Artificial Intelligence Software System Forecast
- 10.1.4 Europe Artificial Intelligence Software System Forecast
- 10.1.5 Middle East & Africa Artificial Intelligence Software System Forecast
- 10.2 Americas Artificial Intelligence Software System Forecast by Country (2025-2030)
- 10.2.1 United States Artificial Intelligence Software System Market Forecast
- 10.2.2 Canada Artificial Intelligence Software System Market Forecast
- 10.2.3 Mexico Artificial Intelligence Software System Market Forecast
- 10.2.4 Brazil Artificial Intelligence Software System Market Forecast
- 10.3 APAC Artificial Intelligence Software System Forecast by Region (2025-2030)
- 10.3.1 China Artificial Intelligence Software System Market Forecast
- 10.3.2 Japan Artificial Intelligence Software System Market Forecast
- 10.3.3 Korea Artificial Intelligence Software System Market Forecast
- 10.3.4 Southeast Asia Artificial Intelligence Software System Market Forecast
- 10.3.5 India Artificial Intelligence Software System Market Forecast
- 10.3.6 Australia Artificial Intelligence Software System Market Forecast
- 10.4 Europe Artificial Intelligence Software System Forecast by Country (2025-2030)
- 10.4.1 Germany Artificial Intelligence Software System Market Forecast
- 10.4.2 France Artificial Intelligence Software System Market Forecast
- 10.4.3 UK Artificial Intelligence Software System Market Forecast
- 10.4.4 Italy Artificial Intelligence Software System Market Forecast
- 10.4.5 Russia Artificial Intelligence Software System Market Forecast
- 10.5 Middle East & Africa Artificial Intelligence Software System Forecast by Region (2025-2030)
- 10.5.1 Egypt Artificial Intelligence Software System Market Forecast
- 10.5.2 South Africa Artificial Intelligence Software System Market Forecast
- 10.5.3 Israel Artificial Intelligence Software System Market Forecast
- 10.5.4 Turkey Artificial Intelligence Software System Market Forecast
- 10.5.5 GCC Countries Artificial Intelligence Software System Market Forecast
- 10.6 Global Artificial Intelligence Software System Forecast by Type (2025-2030)
- 10.7 Global Artificial Intelligence Software System Forecast by Application (2025-2030)
- 11 Key Players Analysis
- 11.1 Google
- 11.1.1 Google Company Information
- 11.1.2 Google Artificial Intelligence Software System Product Offered
- 11.1.3 Google Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.1.4 Google Main Business Overview
- 11.1.5 Google Latest Developments
- 11.2 Baidu
- 11.2.1 Baidu Company Information
- 11.2.2 Baidu Artificial Intelligence Software System Product Offered
- 11.2.3 Baidu Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.2.4 Baidu Main Business Overview
- 11.2.5 Baidu Latest Developments
- 11.3 IBM
- 11.3.1 IBM Company Information
- 11.3.2 IBM Artificial Intelligence Software System Product Offered
- 11.3.3 IBM Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.3.4 IBM Main Business Overview
- 11.3.5 IBM Latest Developments
- 11.4 Microsoft
- 11.4.1 Microsoft Company Information
- 11.4.2 Microsoft Artificial Intelligence Software System Product Offered
- 11.4.3 Microsoft Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.4.4 Microsoft Main Business Overview
- 11.4.5 Microsoft Latest Developments
- 11.5 SAP
- 11.5.1 SAP Company Information
- 11.5.2 SAP Artificial Intelligence Software System Product Offered
- 11.5.3 SAP Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.5.4 SAP Main Business Overview
- 11.5.5 SAP Latest Developments
- 11.6 Intel
- 11.6.1 Intel Company Information
- 11.6.2 Intel Artificial Intelligence Software System Product Offered
- 11.6.3 Intel Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.6.4 Intel Main Business Overview
- 11.6.5 Intel Latest Developments
- 11.7 Salesforce
- 11.7.1 Salesforce Company Information
- 11.7.2 Salesforce Artificial Intelligence Software System Product Offered
- 11.7.3 Salesforce Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.7.4 Salesforce Main Business Overview
- 11.7.5 Salesforce Latest Developments
- 11.8 Brighterion
- 11.8.1 Brighterion Company Information
- 11.8.2 Brighterion Artificial Intelligence Software System Product Offered
- 11.8.3 Brighterion Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.8.4 Brighterion Main Business Overview
- 11.8.5 Brighterion Latest Developments
- 11.9 KITT.AI
- 11.9.1 KITT.AI Company Information
- 11.9.2 KITT.AI Artificial Intelligence Software System Product Offered
- 11.9.3 KITT.AI Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.9.4 KITT.AI Main Business Overview
- 11.9.5 KITT.AI Latest Developments
- 11.10 IFlyTek
- 11.10.1 IFlyTek Company Information
- 11.10.2 IFlyTek Artificial Intelligence Software System Product Offered
- 11.10.3 IFlyTek Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.10.4 IFlyTek Main Business Overview
- 11.10.5 IFlyTek Latest Developments
- 11.11 Megvii Technology
- 11.11.1 Megvii Technology Company Information
- 11.11.2 Megvii Technology Artificial Intelligence Software System Product Offered
- 11.11.3 Megvii Technology Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.11.4 Megvii Technology Main Business Overview
- 11.11.5 Megvii Technology Latest Developments
- 11.12 Albert Technologies
- 11.12.1 Albert Technologies Company Information
- 11.12.2 Albert Technologies Artificial Intelligence Software System Product Offered
- 11.12.3 Albert Technologies Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.12.4 Albert Technologies Main Business Overview
- 11.12.5 Albert Technologies Latest Developments
- 11.13 H2O.ai
- 11.13.1 H2O.ai Company Information
- 11.13.2 H2O.ai Artificial Intelligence Software System Product Offered
- 11.13.3 H2O.ai Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.13.4 H2O.ai Main Business Overview
- 11.13.5 H2O.ai Latest Developments
- 11.14 Brainasoft
- 11.14.1 Brainasoft Company Information
- 11.14.2 Brainasoft Artificial Intelligence Software System Product Offered
- 11.14.3 Brainasoft Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.14.4 Brainasoft Main Business Overview
- 11.14.5 Brainasoft Latest Developments
- 11.15 Yseop
- 11.15.1 Yseop Company Information
- 11.15.2 Yseop Artificial Intelligence Software System Product Offered
- 11.15.3 Yseop Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.15.4 Yseop Main Business Overview
- 11.15.5 Yseop Latest Developments
- 11.16 Ipsoft
- 11.16.1 Ipsoft Company Information
- 11.16.2 Ipsoft Artificial Intelligence Software System Product Offered
- 11.16.3 Ipsoft Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.16.4 Ipsoft Main Business Overview
- 11.16.5 Ipsoft Latest Developments
- 11.17 NanoRep(LogMeIn)
- 11.17.1 NanoRep(LogMeIn) Company Information
- 11.17.2 NanoRep(LogMeIn) Artificial Intelligence Software System Product Offered
- 11.17.3 NanoRep(LogMeIn) Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.17.4 NanoRep(LogMeIn) Main Business Overview
- 11.17.5 NanoRep(LogMeIn) Latest Developments
- 11.18 Ada Support
- 11.18.1 Ada Support Company Information
- 11.18.2 Ada Support Artificial Intelligence Software System Product Offered
- 11.18.3 Ada Support Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.18.4 Ada Support Main Business Overview
- 11.18.5 Ada Support Latest Developments
- 11.19 Astute Solutions
- 11.19.1 Astute Solutions Company Information
- 11.19.2 Astute Solutions Artificial Intelligence Software System Product Offered
- 11.19.3 Astute Solutions Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.19.4 Astute Solutions Main Business Overview
- 11.19.5 Astute Solutions Latest Developments
- 11.20 IDEAL.com
- 11.20.1 IDEAL.com Company Information
- 11.20.2 IDEAL.com Artificial Intelligence Software System Product Offered
- 11.20.3 IDEAL.com Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.20.4 IDEAL.com Main Business Overview
- 11.20.5 IDEAL.com Latest Developments
- 11.21 Wipro
- 11.21.1 Wipro Company Information
- 11.21.2 Wipro Artificial Intelligence Software System Product Offered
- 11.21.3 Wipro Artificial Intelligence Software System Revenue, Gross Margin and Market Share (2019-2024)
- 11.21.4 Wipro Main Business Overview
- 11.21.5 Wipro Latest Developments
- 12 Research Findings and Conclusion
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