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市場調査レポート
商品コード
1395568
人工知能(AI)ツールキットの世界市場規模、シェア、産業動向分析レポート:コンポーネント別、技術別、業種別、地域別展望と予測、2023年~2030年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 |
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人工知能(AI)ツールキットの世界市場規模、シェア、産業動向分析レポート:コンポーネント別、技術別、業種別、地域別展望と予測、2023年~2030年 |
出版日: 2023年11月30日
発行: KBV Research
ページ情報: 英文 381 Pages
納期: 即納可能
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世界の人工知能(AI)ツールキット市場規模は、予測期間中に34.3%のCAGRの市場成長率で上昇し、2030年までに1,644億米ドルに達すると予測されます。
KBV Cardinal matrixに掲載された分析によると、マイクロソフト社とグーグル社が同市場の先駆者です。2023年9月、マイクロソフト・コーポレーションはアブダビのG42との提携を拡大し、アラブ首長国連邦で分野横断的なAI技術を開発し、クラウドインフラを提供しました。この動きにより、アラブ首長国連邦の公共部門やその他の業界は、Microsoft AzureのクラウドとAI機能にアクセスできるようになり、現地のプライバシーと規制要件へのコンプライアンスが確保されました。IBM Corporation、NVIDIA Corporation、Intel Corporationなどの企業は、この市場における主要なイノベーターです。
市場成長要因
AI教育とスキル開発
例えば、AIツールキットは、個人がAIの概念や開発手法を学ぶための教育プログラム、オンラインコース、トレーニングで使用されています。教育リソースの利用可能性はスキル開発を促進します。AI教育およびトレーニングプログラムは、開発者、データサイエンティスト、エンジニアを含む個人が、AIツールキットを使用して作業するために必要な知識とスキルを習得するのに役立ちます。これらのプログラムは、AI業界で有能な人材を育成するために不可欠です。AI認定資格や専門資格の普及により、AI開発における専門知識を証明できるようになりつつあります。これらのプログラムでは、AIツールキットの実地経験が必要とされることが多いです。ブートキャンプは、AI開発の集中的なトレーニングを提供し、カリキュラムにAIツールキットを組み込むことが多いです。ブートキャンプは、参加者が業界でAI関連の職務に迅速に就けるよう準備することを目的としています。AIツールキットは、AI開発を学ぶことでスキルセットを強化したいソフトウェア開発者にとって不可欠なリソースです。これらのツールキットを使えば、AIプロジェクトをすぐに始めることができます。AI教育とスキル開拓が進む結果、市場は成長すると推定されます。
AIのアクセシビリティと民主化
しかし、AIツールキットはAI開発をより身近なものにし、開発者からデータサイエンティストまで幅広いユーザーが、AIの専門知識がなくてもAIアプリケーションを作成できるようにしました。この民主化は、AIソリューションの成長に拍車をかけています。AIのアクセシビリティと民主化は、専門的なデータサイエンティストやAIの専門家以外にもユーザーベースを拡大しました。アクセシビリティは、社会的利益のためのAIの利用を促進しました。ヘルスケア診断から環境保全に至るまで、多様な背景を持つ個人や組織がAIツールキットを使って社会問題に取り組んでいます。民主化により、AIはマーケティング、ヘルスケア、教育などの非技術分野にも広がっています。これらの領域の専門家は、AIツールキットを使用してAI機能を業務に組み込んでいます。AIのアクセシビリティと民主化により、市場は大きく拡大しています。
市場抑制要因
AIツールキットの統合の複雑さ
AIツールキットで作成したAIソリューションを既存のシステムやワークフローに統合するのは困難で時間がかかります。レガシーシステムとの互換性の問題が生じる可能性があります。AIツールキットによって、プログラミング言語、ハードウェア、オペレーティングシステムとの互換性が異なります。そのため、AIソリューションを組織の既存の技術スタックにシームレスに統合することが困難になる可能性があります。ツールキットを使用して構築されたAIソリューションが、増加するデータ量とユーザー需要に対応できる拡張性を確保することは、困難な課題です。スケーラビリティの問題は、パフォーマンスのボトルネックにつながる可能性があります。既存のワークフローにAIソリューションを導入すると、確立されたプロセスが混乱し、従業員の再教育が必要になる可能性があります。AIソリューションを統合するには、追加のハードウェア、ソフトウェア、計算リソースが必要になります。リソースを効果的に割り当てるのは複雑な作業になります。統合の複雑さは、市場の成長を妨げる重大な課題です。
コンポーネントの展望
コンポーネント別では、市場はソフトウェア、ハードウェア、サービスに分類されます。2022年には、ソフトウェア・セグメントが市場で最も高い収益シェアを占めました。AIツールキットは、開発者、データサイエンティスト、企業が人工知能の力を活用できるようにする幅広いソフトウェアコンポーネント、ライブラリ、フレームワークを包含します。例えば、Googleによって開発されたTensorFlowは、最も人気のあるオープンソースの機械学習フレームワークの1つです。TensorFlow 2.0では、公式の高レベルAPIとしてKerasが導入され、より使いやすくなっています。Hugging Faceは、BERT、GPT-2などの事前学習済み言語モデルで知られるTransformersを含む、最先端のNLPモデルとライブラリを提供しています。
技術展望
技術に基づき、市場は自然言語処理、機械学習、コンピュータ・ビジョン、ロボティック・プロセス・オートメーションに分類されます。機械学習セグメントは、2022年の市場で顕著な収益シェアを記録しました。AIツールキットには、伝統的な統計モデルから最先端のディープラーニングアーキテクチャまで、さまざまなMLアルゴリズムが付属しています。この多様性により、開発者は特定のタスクに最も適したアルゴリズムを選択することができ、より正確で効果的なAIソリューションにつながります。MLフレームワークとツールキットは、より多くの人々がAIにアクセスできるようにすることで、AIを民主化しました。これらのツールキットは、企業、調査研究者、個人に、MLに関する幅広い専門知識を必要とせずにAIアプリケーションを作成する力を与えています。
業種別展望
業種別では、BFSI、小売・eコマース、ヘルスケア・ライフサイエンス、製造、IT・通信、メディア・エンターテインメント、エネルギー・ユーティリティ、政府・防衛、自動車・輸送・物流、その他に分類されます。小売&eコマース分野は、2022年の市場でかなりの収益シェアを占めています。小売業者やeコマースプラットフォームは、カスタマーサポート、問い合わせ対応、注文追跡のためにAIを搭載したチャットボットやバーチャルアシスタントを導入しています。NLP機能を備えたAIツールキットは、これらのチャットボットの開発を可能にし、顧客サービスを向上させます。小売企業やeコマース企業は、不正行為の検出と防止にAIツールキットを使用しています。機械学習モデルは、取引データを分析して疑わしい行為を特定し、不正取引から保護することができます。
地域別の展望
2022年、北米地域が最も高い収益シェアを獲得し、市場をリードしました。北米には、AIの研究開発に特化した数多くのハイテク大手、新興企業、研究機関、学術センターが存在し、強固な技術エコシステムが構築されています。このエコシステムがイノベーションを促進し、AIツールキットの需要を促進しています。AIツールキットは、ヘルスケア、金融、自動車、製造、eコマースなど、北米全域の多様な業界で応用されています。この地域の幅広い使用事例が、AIツールキットの採用に貢献しています。
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