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人工智慧 (AI)套件全球市场规模、占有率、行业趋势分析报告:2023-2030 年按组件、技术、行业和地区分類的展望和预测Global Artificial Intelligence Toolkit Market Size, Share & Industry Trends Analysis Report By Component (Software, Hardware, and Services), By Technology, By Vertical, By Regional Outlook and Forecast, 2023 - 2030 |
预计到 2030 年,全球人工智慧 (AI)套件市场规模将达到 1,644 亿美元,预测期内市场复合年增长率为 34.3%。
根据KBV Cardinal Matrix发表的分析,微软和Google是这个市场的先驱。 2023 年 9 月,微软公司扩大了与阿布达比 G42 的合作伙伴关係,以开发跨领域的人工智慧技术并在阿拉伯联合大公国提供云端基础设施。此举使阿联酋的公共部门和其他行业能够使用 Microsoft Azure 的云端和人工智慧功能,确保遵守当地的隐私和监管要求。 IBM公司、NVIDIA公司和英特尔公司等公司是这个市场的主要创新者。
市场成长要素
人工智慧教育和技能发展
例如,人工智慧套件用于教育计画、线上课程以及个人学习人工智慧概念和开发技术的培训。教育资源的可用性有利于技能发展。人工智慧教育和培训计画帮助个人(包括开发人员、资料科学家和工程师)获得使用人工智慧套件所需的知识和技能。这些项目对于培养人工智慧产业的人才至关重要。随着人工智慧认证和专业资格的普及,您可以展示您在人工智慧开发方面的专业知识。这些程式通常需要人工智慧套件的实务经验。训练营提供人工智慧开发的密集培训,并通常将人工智慧套件纳入其课程中。该训练营旨在帮助参与者做好准备,快速进入产业中与人工智慧相关的角色。对于想要透过学习 AI 开发来增强技能的软体开发人员来说,AI 套件是不可或缺的资源。这些套件将帮助您快速启动您的人工智慧计划。由于人工智慧教育和技能开拓的进步,预计该市场将会成长。
人工智慧的可及性和民主化
然而,人工智慧套件使人工智慧开发变得更加容易,允许从开发人员到资料科学家的广泛用户在没有任何人工智慧专业知识的情况下创建人工智慧应用程式。这种民主化正在刺激人工智慧解决方案的成长。人工智慧的可访问性和民主化已将其用户群扩展到专业资料科学家和人工智慧专家之外。可访问性促进了人工智慧的社会公益用途。从医疗诊断到环境保护,来自不同背景的个人和组织正在使用人工智慧套件来解决社会问题。由于民主化,人工智慧也正在扩展到行销、医疗保健和教育等非技术领域。这些领域的专家正在使用人工智慧套件将人工智慧功能融入业务中。人工智慧的可及性和民主化正在大大扩大市场。
市场抑制因素
AI套件整合的复杂性
将使用人工智慧套件创建的人工智慧解决方案整合到现有系统和工作流程中可能既困难又耗时。旧有系统可能有相容性问题。不同的AI套件对程式语言、硬体和作业系统的兼容性不同。这使得将人工智慧解决方案无缝整合到组织现有的技术堆迭中变得困难。确保使用套件建立的人工智慧解决方案扩充性以满足不断增长的资料量和用户需求是一项挑战。可扩展性问题可能会导致效能瓶颈。将人工智慧解决方案引入现有工作流程可能会扰乱既定流程,并需要对员工进行重新培训。整合人工智慧解决方案需要额外的硬体、软体和运算资源。有效地分配资源可能是一项复杂的任务。整合复杂性是阻碍市场成长的重大挑战。
组件展望
按组成部分,市场分为软体、硬体和服务。 2022年,软体领域占据市场最高收益占有率。人工智慧套件包含广泛的软体元件、函式库和框架,使开发人员、资料科学家和企业能够利用人工智慧的力量。例如,Google 开发的 TensorFlow 是最受欢迎的开放原始码机器学习框架之一。 TensorFlow 2.0引进Keras作为官方进阶API,更容易使用。 Hugging Face 提供尖端的 NLP 模型和库,包括以其预训练语言模型(例如 BERT 和 GPT-2)而闻名的 Transformers。
技术展望
根据技术,市场分为自然语言处理、机器学习、电脑视觉和机器人流程自动化。 2022 年,机器学习领域在市场中取得了显着的收益占有率。 AI套件附带各种 ML 演算法,从传统的统计模型到尖端的深度学习架构。这种多样性使开发人员能够为特定任务选择最合适的演算法,从而获得更准确、更有效的人工智慧解决方案。机器学习框架和套件让更多人可以使用人工智慧,从而实现了人工智慧的民主化。这些套件使企业、研究人员和个人能够创建人工智慧应用程序,而无需广泛的机器学习专业知识。
各行业展望
按产业划分,可分为 BFSI、零售/电子商务、医疗保健/生命科学、製造、IT/通讯、媒体/娱乐、能源/公用事业、政府/国防、汽车/运输/物流等。到 2022 年,零售和电子商务领域将在市场中占据重要的收益占有率。零售商和电子商务平台正在部署人工智慧驱动的聊天机器人和虚拟助理,以提供客户支援、联络方式处理和订单追踪。具有 NLP 功能的 AI套件支援开发这些聊天机器人并改善客户服务。零售和电子商务公司正在使用人工智慧套件来检测和防止诈欺。机器学习模型可以分析交易资料以识别可疑活动并防止非法贸易。
区域展望
2022 年,北美地区占据了最高的收益占有率并引领市场。北美拥有强大的科技生态系统,拥有许多专注于人工智慧研发的科技巨头、新兴企业、研究机构和学术中心。这个生态系统正在推动创新并推动对人工智慧套件的需求。该AI套件正在应用于北美各个行业,包括医疗保健、金融、汽车、製造和电子商务。该地区广泛的使用案例有助于人工智慧套件的采用。
The Global Artificial Intelligence (AI) Toolkit Market size is expected to reach $164.4 billion by 2030, rising at a market growth of 34.3% CAGR during the forecast period.
AI toolkits are used to create predictive models that help identify individuals at risk of certain diseases. Consequently, the healthcare & life sciences segment captured $1,721.8 million revenue in the market in 2022. AI toolkits are used to develop AI models for medical imaging interpretation. These models can detect and diagnose conditions in radiology images such as X-rays, CT scans, and MRIs, improving the accuracy and efficiency of diagnoses. These models analyze patient data and genetic information for early intervention and preventive measures. AI toolkits support the analysis of electronic health records. Machine learning models can extract valuable insights from EHR data, aiding clinical decision-making and patient management.
The major strategies followed by the market participants are Partnerships, Collaborations & Agreements as the key developmental strategy to keep pace with the changing demands of end users. For instance, IBM Corporation expanded its collaboration with Amazon Web Services (AWS), to help mutual clients operationalize and derive value from generative AI. However, In September, 2023, NVIDIA Corporation partnered with Reliance Industries Limited, to advance artificial intelligence in India. The partnership will help to develop an indigenous foundation large language model trained on the nation's diverse languages and tailored for generative Al applications.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In, September, 2023, Microsoft Corp. expanded its partnership with Abu Dhabi's G42, developing AI technology across sectors and providing cloud infrastructure in the United Arab Emirates. This move granted the UAE public sector and other industries access to Microsoft Azure's cloud and AI features, ensuring compliance with local privacy and regulatory requirements. Companies such as IBM Corporation, NVIDIA Corporation, Intel Corporation are some of the key innovators in the Market.
Market Growth Factors
AI education and skill development
For Instance, AI toolkits are used in educational programs, online courses, and training to help individuals learn AI concepts and development practices. The availability of educational resources promotes skill development. AI education and training programs help individuals, including developers, data scientists, and engineers, acquire the knowledge and skills needed to work with AI toolkits. These programs are essential for building a competent workforce in the AI industry. AI certifications and specializations are becoming more prevalent, allowing individuals to demonstrate their expertise in AI development. These programs often require hands-on experience with AI toolkits. Bootcamps provide intensive, focused training in AI development, often incorporating AI toolkits into the curriculum. They aim to prepare participants for AI-related roles in the industry quickly. AI toolkits are vital resources for software developers who want to enhance their skill set by learning AI development. They can quickly get started with AI projects using these toolkits. As a result of the increasing AI education and skill development, the market is estimated to grow.
Accessibility and democratization of AI
However, AI toolkits have made AI development more accessible, enabling a broader range of users, from developers to data scientists, to create AI applications without extensive AI expertise. This democratization has fueled the growth of AI solutions. Accessibility and democratization of AI have expanded the user base beyond specialized data scientists and AI experts. Accessibility has encouraged the use of AI for social good. Individuals and organizations with diverse backgrounds use AI toolkits to address societal issues, from healthcare diagnostics to environmental conservation. Democratization extends AI into non-technical fields such as marketing, healthcare, and education. Professionals in these domains use AI toolkits to integrate AI capabilities into their work. The market is expanding significantly due to the accessibility and democratization of AI.
Market Restraining Factors
Integration complexity for AI toolkit
Integrating AI solutions created with AI toolkits into existing systems and workflows can be difficult and time-consuming. Compatibility issues with legacy systems may arise. Different AI toolkits have varying compatibility with programming languages, hardware, and operating systems. This can make it challenging to seamlessly integrate AI solutions into an organization's existing technology stack. Ensuring that AI solutions built using toolkits can scale to meet increasing data volumes and user demands can be challenging. Scalability issues can result in performance bottlenecks. Introducing AI solutions into existing workflows can disrupt established processes and require retraining of employees. Integrating AI solutions require additional hardware, software, and computational resources. Allocating resources effectively can be a complex task. Integration complexity is a significant challenge that hampers the growth of the market.
Component Outlook
By component, the market is categorized into software, hardware, and services. In 2022, the software segment held the highest revenue share in the market. AI toolkits encompass a wide range of software components, libraries, and frameworks that enable developers, data scientists, and businesses to harness the power of artificial intelligence. For instance, developed by Google, TensorFlow is one of the most popular open-source machine learning frameworks. TensorFlow 2.0 introduced Keras as its official high-level API, making it more user-friendly. Hugging Face provides state-of-the-art NLP models and libraries, including Transformers, known for its pre-trained language models like BERT, GPT-2, and more.
Technology Outlook
Based on technology, the market is classified into natural language processing, machine learning, computer vision, and robotic process automation. The machine learning segment recorded a remarkable revenue share in the market in 2022. AI toolkits come with various ML algorithms, from traditional statistical models to cutting-edge deep learning architectures. This diversity allows developers to choose the most suitable algorithms for specific tasks, leading to more accurate and effective AI solutions. ML frameworks and toolkits have democratized AI by making it accessible to a broader audience. They empower businesses, researchers, and individuals to create AI applications without the need for extensive ML expertise.
Vertical Outlook
On the basis of vertical, the market is divided into BFSI, retail & eCommerce, healthcare & life sciences, manufacturing, IT & telecom, media & entertainment, energy & utilities, government & defense, automotive, transportation, & logistics, and others. The retail & eCommerce segment covered a considerable revenue share in the market in 2022. Retailers and eCommerce platforms deploy AI-powered chatbots and virtual assistants for customer support, query handling, and order tracking. AI toolkits with NLP capabilities enable the development of these chatbots, improving customer service. Retail and eCommerce companies use AI toolkits for fraud detection and prevention. Machine learning models can analyze transaction data to identify suspicious activities and protect against fraudulent transactions.
Regional Outlook
In 2022, the North America region led the market by generating the highest revenue share. North America has a robust technology ecosystem, with numerous tech giants, startups, research institutions, and academic centers dedicated to AI research and development. This ecosystem fosters innovation and drives the demand for AI toolkits. AI toolkits find applications in diverse industries across North America, including healthcare, finance, automotive, manufacturing, e-commerce, and more. The region's broad range of use cases contributes to adopting AI toolkits.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, Google LLC, Oracle Corporation, NVIDIA Corporation, Thales Group S.A., Intel Corporation, Adobe, Inc., Salesforce, Inc. and DataRobot, Inc.
Recent Strategies Deployed in Artificial Intelligence (AI) Toolkit Market
Partnerships, Collaborations, and Agreements:
Oct-2023: Microsoft Corporation expanded its partnership with Siemens, a German multinational technology conglomerate, and introduced Siemens Industrial Copilot as a first step, an AI-powered assistant improving human-machine collaboration in manufacturing. The integration between Siemens Teamcenter software and Microsoft Teams was launched, simplifying virtual collaboration across business functions.
Oct-2023: IBM Corporation expanded its collaboration with Amazon Web Services (AWS), a subsidiary of Amazon that provides on-demand cloud computing platforms, to advance the development of generative artificial intelligence (AI) tools. The partnership aimed to help mutual clients operationalize and derive value from generative AI. As part of the initiative, IBM Consulting aimed to train 10,000 consultants in generative AI expertise on AWS by the end of 2024.
Sep-2023: Microsoft Corp. expanded its partnership with Abu Dhabi's G42, developing AI technology across sectors and providing cloud infrastructure in the United Arab Emirates. This move granted the UAE public sector and other industries access to Microsoft Azure's cloud and AI features, ensuring compliance with local privacy and regulatory requirements.
Sep-2023: IBM Corporation renewed its research partnership with the Indian Institute of Technology (IIT), Bombay, and the Indian Institute of Science (IISc), Bangalore. The collaboration aimed to lead developments in hybrid cloud and artificial intelligence, focusing on areas such as natural language processing, generative AI for time series, combating fake news, hybrid cloud optimization, and sustainable computing.
Sep-2023: NVIDIA Corporation partnered with Reliance Industries Limited, an Indian multinational conglomerate, to advance artificial intelligence in India. The partnership is being done to boost India's artificial intelligence and semiconductor chip ambitions. Additionally, the partnership will help develop an indigenous foundation large language model trained on the nation's diverse languages and tailored for generative Al applications.
Sep-2023: NVIDIA Corporation expanded its partnership with Infosys Ltd., an Indian multinational information technology company that provides business consulting, information technology, and outsourcing services, to develop generative AI tools for enterprises, marking another India-focused initiative for the U.S.-based company known for powering ChatGPT. The enhanced alliance merged Nvidia AI Enterprise and Infosys Topaz, forming an expert workforce to assist businesses in utilizing the platform for building custom apps and solutions.
Sep-2023: Salesforce, Inc. expanded its strategic partnership with Google, an American multinational technology company focusing on artificial intelligence, to integrate Salesforce, the leading AI CRM, and Google Workspace, the widely used productivity tool. The collaboration introduced bidirectional integrations, enabling customers to merge context from Salesforce and Google Workspace, including Google Calendar, Docs, Meet, Gmail, and more, to enhance generative AI experiences across platforms.
Aug-2023: IBM Corporation collaborated with Salesforce, Inc., an American cloud-based software company, to accelerate global businesses across industries in adopting AI for CRM. The partnership aimed to revolutionize customer, partner, and employee experiences while safeguarding data. IBM Consulting and Salesforce worked with shared clients to expedite business transformations using generative AI.
Jul-2023: Thales Group S.A. partnered with Genethon, a pioneer and leader in gene therapy research and development for rare genetic diseases, to develop groundbreaking digital models for enhancing bioproduction yields in gene therapy. The collaboration combined expertise in artificial intelligence and healthcare innovation, bringing together research, industry, and digital services for joint innovative solutions.
Jun-2023: Thales Group S.A. announced a partnership with Google Cloud to enhance data security capabilities through generative AI, aiming to improve the discovery, classification, and protection of sensitive data for companies. This collaboration was part of Thales' generative AI strategy, introducing AI-powered features and experiences to users of the CipherTrust data security platform.
Jun-2023: Adobe, Inc. expanded its partnership with Omnicom Group Inc., A global leader in marketing communications, initiating a joint effort to provide enterprise generative AI capabilities to shared clients. This collaboration aimed to produce on-brand content, assisting marketers in orchestrating better outcomes.
May-2023: NVIDIA Corporation collaborated with Microsoft Corp. and integrated its AI Enterprise software into Microsoft's Azure Machine Learning to accelerate enterprise AI initiatives. This integration formed a secure, enterprise-ready platform, allowing global Azure customers to swiftly build, deploy, and manage customized applications using over 100 NVIDIA AI frameworks and tools supported in NVIDIA AI Enterprise, the software layer of NVIDIA's AI platform.
May-2023: NVIDIA Corporation partnered with ServiceNow, an American software company based in Santa Clara, California, to enhance enterprise workflow automation using powerful generative AI capabilities. This collaboration expanded ServiceNow's AI functionality, benefiting IT, customer service, employees, and developers, increasing productivity across the board.
May-2023: DataRobot, Inc. partnered with Microsoft to expedite AI adoption in the enterprise. Integrations with Microsoft Azure OpenAI Service, Azure Machine Learning, and Azure Kubernetes Service (AKS) allowed data scientists to leverage large language models (LLMs) for code writing assistance. This facilitated the building, deploying, and managing of end-to-end enterprise-ready AI solutions on Microsoft Azure for DataRobot and Microsoft customers.
Jan-2023: Microsoft Corporation expanded its strategic partnership with HCLTech, collaborating to leverage generative artificial intelligence (AI) for joint solutions that enhance business outcomes and transformation. Clients benefited from innovative solutions, improving productivity, streamlining IT operations, accelerating application development, and optimizing business processes using HCLTech's industry expertise and Microsoft's Azure OpenAI Service.
Oct-2022: Google Cloud expanded its partnership with Accenture, an Irish-American professional services company, by renewing their commitment to growing talent, increasing joint capabilities, developing new solutions with data and AI, and offering enhanced support. This collaboration aimed to assist clients in building a robust digital core and reinventing their enterprises on the cloud.
Aug-2022: Oracle Cloud Infrastructure, a subsidiary of Oracle Corporation, collaborated with Anaconda Inc., a software development and consulting company, to provide secure open-source Python and R tools and packages by embedding Anaconda's repository in OCI's artificial intelligence and machine learning services. This partnership allowed customers direct access to Anaconda services within OCI, eliminating the need for a separate enterprise license.
Product Launches and Product Expansions:
Oct-2023: Adobe, Inc. integrated generative AI enhancements into its core products, including Firefly, Illustrator, Adobe Express, and Photoshop, aiming to enhance creativity and precision in creative workflows.
Sep-2023Oracle Corporation enhanced Oracle Fusion Cloud Customer Experience (CX) with additional AI capabilities. This automation allowed marketers, sellers, and service agents to increase revenue and deliver exceptional customer experiences through conversational interfaces, providing relevant content, recommendations, and insights while eliminating manual tasks.
Sep-2023: Oracle Corporation introduced generative AI services for healthcare, incorporating the Oracle Clinical Digital Assistant into EHR solutions. This integration provided voice-commanded automation for providers, reducing manual tasks, improving patient care, and allowing patients to perform self-service actions through straightforward voice commands.
Sep-2023: Adobe, Inc. released the web version of Photoshop for all paid plan users. After nearly two years in beta, the web version now includes Firefly-powered AI tools like generative fill and generative expand. The toolbar features tools based on workflows, such as image reproduction or object selection, with full tool names displayed for beginners instead of tooltip descriptions.
Sep-2023: Salesforce, Inc. launched the next-gen Einstein AI, featuring Einstein Copilot, a built-in conversational assistant for every Salesforce application, and Einstein Copilot Studio for creating custom AI-powered apps. These advancements aimed to reshape how millions of CRM users interact with business applications, enhancing performance and job satisfaction.
Aug-2023: Google LLC introduced its artificial intelligence-powered tools to enterprise customers for a monthly fee of $30 per user. The new tools, including "Duet AI in Workspace," aided customers across Google apps with tasks such as writing in Docs, drafting emails in Gmail, and generating custom visuals in Slides, among others.
Aug-2023: Google Cloud collaborated with NVIDIA Corp., an American multinational technology company incorporated in Delaware, and announced AI infrastructure and software, enabling customers to construct and deploy large models for generative AI and accelerate data science workloads. Additionally, over the past two years, Google DeepMind and Google research teams have actively employed these integrations, leveraging NVIDIA technologies.
May-2023: IBM Corporation introduced IBM Watsonx, a released AI and data platform, empowering enterprises to scale advanced AI impact with trusted data and a comprehensive technology stack for training, tuning, and deploying models across their organization, ensuring speed, governance, and compatibility across any cloud environment.
Mar-2023: DataRobot, Inc. released AI Platform 9.0, rebranding its AI Cloud with added features for faster AI product deployment. The platform includes Workbench for experimentation, integrated with Notebook for code or code-free data science work, and features guardrails like bias mitigation and model monitoring.
Nov-2022: Intel Corporation launched streamlined artificial intelligence (AI) benefits within the Intel Partner Alliance, enhancing support for ecosystem partners, including independent software vendors (ISVs), original equipment and device manufacturers, and system integration (SI) partners. The move aimed to foster connections, drive innovation, and accelerate business growth.
Sep-2022: Salesforce, Inc. collaborated with AWS, a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs, to reveal integrations between the Salesforce Platform and Amazon SageMaker. This allowed customers to utilize Amazon SageMaker, AWS's machine learning service, in conjunction with Einstein, Salesforce's AI technology, to develop customized AI models for real-time use across the Customer 360.
Mar-2022: Adobe, Inc. unveiled new Adobe Sensei-powered capabilities in Adobe Experience Cloud, enhancing customer journeys with AI features. Over 80% of Adobe Experience Cloud customers leveraged these capabilities, including product recommendations, live search results, intelligent budget forecasting, cross-channel budget optimization, and smart content creation and delivery.
Acquisition and Mergers:
Sep-2023: Salesforce, Inc. acquired Airkit.ai, a provider of AI-powered customer service applications, to enhance AI capabilities. This addition supported Service, Sales, Marketing, and Commerce teams in swiftly adapting to the future of customer engagement in the AI era.
Mar-2022: Microsoft Corporation completed its acquisition of Nuance Communications Inc., a leader in conversational AI across various industries. This powerful combination aimed to enhance healthcare affordability and accessibility, as well as create more personalized customer experiences across all sectors. The Nuance team was welcomed into the Microsoft family with great satisfaction.
Mar-2022: Intel Corporation acquired Granulate, AI-powered optimization software that improves performance by creating a streamlined environment for any app, to expand operations in Israel and enhance tools for customers to manage traffic on Intel-powered systems. The acquisition enabled the application of Granulate's autonomous optimization software to production workloads without code changes, delivering optimized hardware and software value for every cloud and data center customer.
Sep-2021: DataRobot, Inc. acquired Decision.ai, a potent decision-making tool with transformative potential for businesses. This allowed DataRobot to integrate crucial complementary technology and onboard talented individuals like Dan Becker and his team. Additionally, the combination of the AI Cloud platform and an AI-native strategic success team empowered enterprises to harness AI's transformative power.
Oct-2020: Intel Corporation acquired SigOpt, a San Francisco startup with an optimization platform for running AI modeling and simulations more effectively. Intel integrated SigOpt's technology into its AI business, specifically within its AI Analytics Toolkit.
Jun-2020: DataRobot, Inc. acquired BCG's SOURCE AI technology, and both organizations entered a strategic partnership. This unique collaboration between a global consulting firm and an AI solution provider combined proprietary IP with consulting services, delivering both human expertise and technical know-how for optimal, continuous AI value.
Geographic Expansion:
May-2023: IBM Consulting established a Center of Excellence for generative AI, complementing its global AI and Automation practice. The existing practice, with 21,000 consultants, had conducted over 40,000 client engagements. The CoE had over 1,000 consultants with specialized generative AI expertise, engaging globally to enhance productivity in IT operations, core business processes, elevate customer experiences, and create new business models.
Market Segments covered in the Report:
By Component
By Technology
By Vertical
By Geography
Companies Profiled
Unique Offerings from KBV Research