Artificial Intelligence (AI) In Digital Transformation Global Market Opportunities And Strategies To 2035

Artificial Intelligence (AI) In Digital Transformation Market Definition

Artificial Intelligence (AI) in digital transformation refers to the integration of AI technologies, such as machine learning, natural language processing, computer vision, and intelligent automation, into business processes, products, and services to fundamentally change how organizations operate and deliver value. The primary purpose of AI in digital transformation is to enhance operational efficiency, innovation, and customer experience. By automating tasks, generating actionable insights from data, and enabling intelligent systems. The artificial intelligence (AI) in digital transformation market consists of sales, by entities (organizations, sole traders, or partnerships) that is utilized by organizations across various sectors including finance, healthcare, manufacturing, government, retail, and telecommunications. These users implement AI to automate workflows, derive insights from data, personalize user experiences, optimize supply chains, and increase productivity. It is commonly used during organizational restructuring, process modernization, customer engagement programs, and in response to increasing data volumes and market competition.

Artificial Intelligence (AI) In Digital Transformation Market Segmentation

The artificial intelligence (AI) in digital transformation market is segmented by component, by technology, by deployment mode and by industry vertical.

By Component –
The artificial intelligence (AI) in digital transformation market is segmented by component into:

• a) Solution
• b) Services

The solution market was the largest segment of the artificial intelligence (AI) in digital transformation market segmented by component, accounting for 61.8% or $18,201.0 million of the total in 2025. Going forward, the services segment is expected to be the fastest-growing segment in the artificial intelligence (AI) in digital transformation market segmented by component, at a CAGR of 30.1% during 2025-2030.

By Technology –
The artificial intelligence (AI) in digital transformation market is segmented by technology into:

• a) Machine Learning (ML)
• b) Natural Language Processing (NLP)
• c) Computer Vision
• d) Other Technologies

The machine learning (ML) market was the largest segment of the artificial intelligence (AI) in digital transformation market segmented by technology, accounting for 42.4% or $12,474.8 million of the total in 2025. Going forward, the natural language processing (NLP) segment is expected to be the fastest-growing segment in the artificial intelligence (AI) in digital transformation market segmented by technology, at a CAGR of 34.3% during 2025-2030.

By Deployment Mode –
The artificial intelligence (AI) in digital transformation market is segmented by deployment mode into:

1. a) Cloud Based
2. b) On-Premises

The cloud-based market was the largest segment of the artificial intelligence (AI) in digital transformation market segmented by deployment mode, accounting for 62.3% or $18,349.3 million of the total in 2025. Going forward, the cloud-based segment is expected to be the fastest-growing segment in the artificial intelligence (AI) in digital transformation market segmented by deployment mode, at a CAGR of 30.7% during 2025-2030.

By Industry Vertical –
The artificial intelligence (AI) in digital transformation market is segmented by industry vertical into:

• a) Banking Financial Services And Insurance (BFSI)
• b) Information Technology (IT) And Telecommunications
• c) Government And Public Sector
• d) Healthcare
• e) Manufacturing
• f) Retail
• g) Other End-Use Industries

The banking financial services and insurance (BFSI) market was the largest segment of the artificial intelligence (AI) in digital transformation market segmented by industry vertical, accounting for 25.5% or $7,517.2 million of the total in 2025. Going forward, the healthcare segment is expected to be the fastest-growing segment in the artificial intelligence (AI) in digital transformation market segmented by industry vertical, at a CAGR of 32.1% during 2025-2030.

By Geography - The artificial intelligence (AI) in digital transformation market is segmented by geography into:

o Asia Pacific
• • China
• • India
• • Japan
• • Australia
• • Indonesia
• • South Korea
o North America
• • USA
• • Canada
o South America
• • Brazil
o Western Europe
• • France
• • Germany
• • UK
• • Italy
• • Spain
o Eastern Europe
• • Russia
o Middle East
o Africa

North America was the largest region in the artificial intelligence (AI) in digital transformation market, accounting for 35.7% or $10,508.3 million of the total in 2025. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the artificial intelligence (AI) in digital transformation market will be Asia Pacific and Middle East where growth will be at CAGRs of 30.3% and 28.2% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 24.3% and 23.7% respectively.

Artificial Intelligence (AI) In Digital Transformation Market Drivers

The key drivers of the artificial intelligence (AI) in digital transformation market include: Demand Of IoT And Connected Devices During the forecast period, the demand of IoT and connected devices will propel the growth of the artificial intelligence (AI) in digital transformation market. As enterprises and industries increasingly adopt IoT solutions to collect, transmit and analyze vast amounts of machine-generated data, the proliferation of connected devices drives the need for intelligent, AI-based systems that can process and derive actionable insights in real-time. Analyst projections indicate that the number of connected IoT devices worldwide is growing rapidly year on year, with billions of connections expected through the decade, reflecting a broader trend toward pervasive connectivity and digital ecosystems. As organizations deploy larger and more diverse IoT networks that feed vast datasets into enterprise systems, the integration of AI capabilities becomes essential to automate decision-making, optimize operations and create predictive intelligence, thereby significantly driving demand for AI-enabled digital transformation solutions across sectors. The demand of IoT and connected devices growth contribution during the forecast period in 2025 is 1.5%.

Artificial Intelligence (AI) In Digital Transformation Market Restraints

The key restraints on the artificial intelligence (AI) in digital transformation market include: Tighter AI Regulations Tighter AI regulations are restricting the growth of the artificial intelligence (AI) in digital transformation market during the forecast period. Regulatory frameworks that impose stricter safety, accountability, transparency and compliance requirements for AI systems, especially in leading technology hubs, increase operational complexity and compliance costs for enterprises adopting advanced AI solutions. These regulations often mandate rigorous documentation, risk assessments, model audits and explainability measures that require significant investment in governance, legal expertise and technical safeguards before AI systems can be deployed at scale. From a business perspective, tighter AI rules may slow down enterprise decision-making, delay product rollouts and deter smaller adopters who lack the resources to meet evolving compliance standards. As a result, organizations may postpone or scale back AI initiatives in digital transformation projects, particularly in regulated industries or markets where regulatory uncertainty is high, thereby restricting the growth of the artificial intelligence (AI) in digital transformation market. Growth affected by the tighter AI regulations during the forecast period in 2025 is -2.8%.

Artificial Intelligence (AI) In Digital Transformation Market Competitive Landscape

Major Competitors are:

Microsoft Corporation

Nvidia Corporation

Alphabet Inc. (Google LLC)

Amazon.com Inc.

International Business Machines Corporation

Other Competitors Include:

Accenture plc

Cisco Systems Inc.

Oracle Corporation

SAP SE

Dell Technologies Inc.

Huawei Technologies Co., Ltd.

Fujitsu

NEC Corporation

Hitachi Vantara Corporation

Digital China Group Co., Ltd.

JD.com

Tencent

Baidu

Sakura Internet

Alibaba Group

ZTE Corporation

4Paradigm

Megvii

Beijing Zhipu Huazhang Technology Co., Ltd

RevComm Inc.

NTT Group

Preferred Networks

PKSHA Technology

KT Corporation

Samsung SDS Co., Ltd.

Deloitte

Upstage Co., Ltd.

ESTsoft

Ant Group

FPT Corporation

CMC Corporation

Infosys Limited

Tata Consultancy Services Limited

Wipro Limited

HCLTech

Digikala

Snapp!

Siemens

ABB Group

Capgemini

PwC

EY

Hewlett Packard Enterprise Europe

Deutsche Telekom AG

Orange S.A

Rossum

Safetica

Sotrender

Netguru

Comarch

UiPath

Druid AI

Yandex

ABBYY

NtechLab

Cognitive Technologies Group

Valeo

Cognitive Logic

Syntropy

Modus

Kunaisoft

Metric Arts

Dell Technologies

General Electric Company

Intel Corporation

Qualcomm Incorporated

Salesforce, Inc.

Kyndryl

DXC Technology Company

KPMG

Adobe Inc

VMware

VMware LLC

Hewlett Packard Enterprise

Tetra Tech

Stefanini

Matera

Globant

Mercado Libre

Neoris

Everis

Perficient Latin America

G&L Group

Kambista

AI21 Labs

AppsFlyer

BeyondMinds

Cortica

NEOM Tech & Digital Company

Sprints.ai

DXwand

Auxis

Avec

Synapse Analytics

AIQode

Innova

Crown Interactive

DataProphet

Cortex Logic

Aizonic

IQbusiness

Xineoh

Artificial Intelligence (AI) In Digital Transformation Market Trends

Major trends shaping the artificial intelligence (AI) in digital transformation market include: Advancement Of Conversational AI Platforms To Streamline High-Volume Enterprise Hiring Key players operating in the artificial intelligence (AI) in digital transformation market are focusing on advancing conversational AI platforms designed to automate and streamline high-volume enterprise hiring processes. These platforms integrate natural language understanding, automated candidate engagement, and intelligent workflow orchestration to improve recruitment efficiency, reduce time-to-hire, and enhance the candidate experience across large-scale talent acquisition programs. For instance, in November 2025, Humanly, a US-based provider of conversational and automated recruiting solutions, launched an updated conversational AI platform that accelerates high-volume enterprise hiring by enabling automated candidate interactions, real-time screening, and intelligent interview scheduling. The enhanced platform incorporates advanced language models and data-driven insights to improve candidate engagement quality while reducing recruiter workload and ensuring compliance with hiring policies. By embedding these conversational AI capabilities into the talent acquisition lifecycle, Humanly also aims to help enterprises deliver faster, more personalized candidate experiences, drive operational efficiencies in hiring, and support strategic workforce planning in an increasingly competitive labor market. Deployment Of Localized AI Computing Platforms To Support Distributed Workloads Key players operating in the artificial intelligence (AI) in digital transformation market are focusing on the deployment of localized AI computing platforms designed to bring powerful AI processing closer to where data is generated and decisions are made. These platforms aim to address latency, bandwidth, infrastructure bottlenecks, and the growing demand for real-time inferencing as enterprises scale AI workloads beyond centralized cloud environments. For instance, in November 2025, Cisco Systems, a US-based global leader in networking, security and infrastructure solutions, launched its Cisco Unified Edge platform, a localized computing device built to run AI workloads at edge locations such as retail stores, factory floors and healthcare facilities, reducing the strain on traditional data centers and accelerating real-time data processing and analytics. The platform integrates computing, networking and storage in a unified system optimized for agentic and inferencing AI tasks, features Intel-based hardware and has already attracted early adoption from partners including Verizon, with general availability expected by the end of the year. By enabling enterprises to process AI workloads at the edge with improved performance, reduced latency and enhanced operational resilience, Cisco aims to empower industries such as retail, manufacturing and healthcare to unlock the full potential of AI-enabled workflows and accelerate their digital transformation journeys.

Opportunities And Recommendations In The Artificial Intelligence (AI) In Digital Transformation Market

Opportunities – The top opportunities in the artificial intelligence (AI) in digital transformation market segmented by component will arise in the solution segment, which will gain $39,860.1 million of global annual sales by 2030. The top opportunities in the artificial intelligence (AI) in digital transformation market segmented by technology will arise in the machine learning (ML) segment, which will gain $29,242.4 million of global annual sales by 2030. The top opportunities in the artificial intelligence (AI) in digital transformation market segmented by deployment mode will arise in the cloud-based segment, which will gain $51,752.4 million of global annual sales by 2030. The top opportunities in the artificial intelligence (AI) in digital transformation market segmented by industry vertical will arise in the banking financial services and insurance (BFSI) segment, which will gain $17,166.0 million of global annual sales by 2030. The artificial intelligence (AI) in digital transformation market size will gain the most in the USA at $18,530.6 million. Recommendations- To take advantage of the opportunities, The Business Research Company recommends the artificial intelligence (AI) in digital transformation companies to focus on conversational AI for scalable enterprise hiring, focus on localized AI computing at the edge, focus on agentic enterprise platforms for productivity growth, focus on full value chain AI transformation platforms, focus on AI-first enterprise transformation platforms, focus on multi-agent AI platforms for scalable service delivery, focus on scaling AI services for enterprise transformation, focus on natural language processing as the core AI growth engine, focus on cloud-based AI platforms for scalable growth, focus on healthcare AI adoption to capture the fastest growth, expand in emerging markets, continue to focus on developed markets, focus on agentic AI platforms for enterprise automation, focus on value-based and scalable pricing models, focus on business outcome–driven messaging, focus on trust credibility and adoption enablement and focus on BFSI-centric talent and stakeholder engagement.